September 19, 2016

Dr. Pedro Casas

Senior Scientist @AIT
Expert and Research Lead in AI4NETS (AI/ML for Networking)
Data Science & Artificial Intelligence
Center for Digital Safety & Security
AIT Austrian Institute of Technology GmbH

Giefinggasse 4, 1210 Vienna, Austria

e-mail: pedro.casas@ait.ac.at

[Biography][Research][Papers]
[Projects][Awards][Thesis]
[Teaching & Supervision]
[Invited Talks]


Biography

I joined the AIT Austrian Institute of Technology Vienna in 2016, where I currently hold a Senior Scientist position in Data Science and Artificial Intelligence, at the Center for Digital Safety and Security. Between 2011 and 2015 I was Senior Researcher with the Telecommunications Research Center Vienna, working in the Communication Networks domain. Between 2003 and 2012 I held Research and Teaching Assistant positions at the Universidad de la República (UdelaR) in Montevideo, Uruguay, working in the core of the ARTES research group – Telecommunications Department, Electrical Engineering Institute.

I received an Electrical Engineering degree from the Engineering Faculty (FING) of UdelaR in 2005, working in the field of modeling and automatic assessment of Quality of Experience in multimedia networks. In 2010 I received a Ph.D. degree in Computer Science from Télécom Bretagne (ex. ENST Bretagne) in France, working in network anomaly detection and traffic analysis; in 2013 I received a Ph.D. in Electrical Engineering from Universidad de la República (UdelaR) in Uruguay. After my French Ph.D., I joined the french LAAS-CNRS research lab in Toulouse as a Postdoctoral Research Fellow, where I worked in machine learning techniques for network traffic monitoring and analysis.

During the past 10 years I have been working as project manager, technical work leader and researcher in multiple national and international projects, including both research and commercial projects. Besides industry-funded projects, I am project co-leader (co-PI) of the Austrian FFG DynAISEC project. Before I was project leader (PI) of the Austrian WWTF BigDAMA project, PI of the EU H2020 Mobi-QoE project (part of the EU H2020 MONROE project), work package leader at the EU FP7 mPlane project (large scale traffic measurements and intelligent analysis) and work package leader the COMET ACE project series.

I have published about 190 Networking research papers in major international conferences, journals, and workshops (ACM PER, IEEE Network, IEEE TNSM, Computer Networks, IEEE CNSM, CoNEXT, SIGCOMM, INFOCOM, IFIP Networking, IFIP Performance, ITC, TMA, ACM MM), I have received 15 best paper, best demo, best student work and best workshop awards (IEEE, IFIP, ACM, SIGCOMM SRC, ITC, EuroNGI European Network of Excellence), I have supervised 2 successfully concluded PhD students, 3 ongoing and 12 master students, interns and postdocs, and I have participated as teaching assistant and principal lecturer in different undergraduate, graduate, and postgraduate courses. I am also general chair of different conferences and workshops in network measurement and analysis, including machine learning-based networking workshops.

My main research interests include artificial intelligence, machine-learning, and data mining based approaches for Networking, big data analytics and platforms, Internet network measurements, network security and anomaly detection, as well as QoE modeling, assessment and monitoring.


Research

My current research interests span different areas of computer networks:

  • AI/ML for Networking (AI4NETS)
  • Network Measurements & Traffic Analysis
  • Big Data Analytics and Platforms
  • Anomaly Detection & Network Security
  • Quality of Experience
  • Traffic Engineering & Network Management

Previously I also worked on:

  • Network Modeling & Performance Evaluation

I am/have been chair of the following events:

  • 2022: Co-chair of the 1st ACM CoNEXT Graph Neural Networking Workshop, GNNet
  • 2020-2022: Best Paper Award committee member for ITC, IEEE Internet Technical Committee
  • 2022: Workshops co-chair for 21st IFIP Networking Conference, NETWORKING
  • 2022: Publicity chair for 11th IEEE International Conference on Cloud Networking, CloudNet
  • 2022: Co-chair of the 7th IEEE Euro-S&P Workshop on Traffic Measurements for Cybersecurity, WTMC
  • 2022: Publicity and Sponsorship chair for the 6th IFIP Conference on Network Traffic Measurement and Analysis, TMA
  • 2022: Publicity chair for 2022 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM
  • 2021: Co-chair of the 6th IEEE S&P Workshop on Traffic Measurements for Cybersecurity, WTMC
  • 2021: Publicity and Sponsorship chair for the IFIP Conference on Network Traffic Measurement and Analysis, TMA
  • 2021: Publicity chair for 2021 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM
  • 2021: Publicity chair for 22nd Passive and Active Measurement Conference, PAM
  • 2020: Sponsorship chair for the ACM Conference on emerging Networking EXperiments and Technologies, CoNEXT
  • 2020: Sponsorship chair for the IEEE/IFIP Conference on Network Traffic Measurement and Analysis, TMA
  • 2019-2020: Best Paper Award committee member for ITC, IEEE Internet Technical Committee
  • 2020: Co-chair of the 5th IEEE EuroS&P Workshop on Traffic Measurements for Cybersecurity, WTMC
  • 2020: Publicity chair for 23rd IEEE Global Internet Symposium, GI
  • 2020: Publicity chair for 21st Passive and Active Measurement Conference, PAM
  • 2019: General chair of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and AI for Data Communication Networks, Big-DAMA
  • 2019: General chair of the 4th ACM MOBICOM Workshop on QoE-based Analysis and Management of Data Communication Networks, Internet-QoE
  • 2019: Publicity chair for 19th ACM Internet Measurement Conference, IMC
  • 2019: Co-chair of the 1st Latin American Student Workshop on Data Communication Networks, LANCOMM
  • 2019: Sponsorship chair for the IEEE/IFIP Conference on Network Traffic Measurement and Analysis, TMA
  • 2019: Publicity chair for 20th Passive and Active Measurement Conference, PAM
  • 2019: Publicity chair for 10th International Conference on Data Communication Networking, DCNET
  • 2019: Co-chair of the 4th IEEE S&P Workshop on Traffic Measurements for Cybersecurity, WTMC
  • 2018-2019: Best Paper Award committee member for ITC, IEEE Internet Technical Committee
  • 2018: General chair of the 3rd IEEE ICDCS Workshop on QoE-based Analysis and Management of Data Communication Networks, Internet-QoE
  • 2018: General chair of the 2nd ACM SIGCOMM Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Big-DAMA
  • 2018: Co-chair of the 3rd ACM SIGCOMM Workshop on Traffic Measurements for Cybersecurity, WTMC
  • 2018: Publicity chair for ITC Conference
  • 2018: General chair of the IEEE/IFIP Conference on Network Traffic Measurement and Analysis, TMA
  • 2017: General chair of the ACM SIGCOMM Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Big-DAMA
  • 2017: General chair of the 2nd ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks, Internet-QoE
  • 2017: Area co-chair of ITC 29 Conference on Measurements and Big Data Analytics, ITC
  • 2017: Chair of the IEEE ComSoc ITC Special Interest Group on Network Measurements and Analytics, NMA SIG
  • 2017: Publicity and Publication chair of the 1st Network Traffic Measurement and Analysis Conference, TMA Conference
  • 2017: Publicity chair for Network of the Future (NoF) Conference
  • 2017: Publicity chair for ACM CoNEXT Conference
  • 2016: General chair of the ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks, Internet-QoE
  • 2016: General chair of the ACM SIGCOMM Workshop on Fostering Latin-American Research in Data Communication Networks, LANCOMM
  • 2016: Co-chair of the 7th International Workshop on TRaffic Analysis and Characterization, TRAC
  • 2015: General chair of the 6th International Workshop on TRaffic Analysis and Characterization, TRAC, Best Workshop Award
  • 2014: General chair of the 5th International Workshop on TRaffic Analysis and Characterization, TRAC

I am/have been reviewer for the following journals and magazines:

  • IEEE/ACM Transactions on Networking
  • IEEE Journal on Selected Areas in Communications
  • IEEE Transactions on Network and Service Management
  • IEEE Transactions on Cognitive Communications and Networking
  • IEEE Network
  • IEEE Communications Magazine
  • IEEE Communications Surveys and Tutorials
  • ACM Computer Communication Review
  • Computer Networks (ELSEVIER)
  • Computer Communications (ELSEVIER)
  • International Journal of Network Management (WILEY)
  • International Journal of Communication Systems (WILEY)
  • Multimedia Tools and Applications (SPRINGER)
  • Quality and User Experience (SPRINGER)
  • Journal of Computer Systems, Networks, and Communications (HINDAWI)

I have been part of the TPC of the following conferences, workshops and technical events:

  • 2022: Khipu 2023 – Latin American Meeting in AI
  • 2020: since 2019/2020 I have strongly reduced my participation in TPCs to a minimum
  • 2019: IEEE/IFIP QoE-Management, ITC, Khipu – Latin American Meeting in AI
  • 2018: ITC, IEEE/IFIP CNSM, IEEE/IFIP QoE-Management, Conference on Future Internet Technologies (CFI)
  • 2017: IEEE/IFIP CNSM, IEEE/IFIP TMA, WTMC, IEEE/IFIP QoE-Management
  • 2016: ITC, IFIP Networking, TMA, TRAC, IEEE/IFIP QCMan, Internet-QoE, LANCOMM, WTMC
  • 2015: LANOMS, TRAC, IEEE/IFIP QCMan, IEEE CAMAD
  • 2014: TMA, TRAC, IEEE/IFIP QCMan, EuCNC, CLEI
  • 2013: TMA, IEEE WNM, IEEE/IFIP QCMan, IEEE/IFIP EUC


Publications [DBLP | Google Scholar]

Journals & Book Chapters

  1. “Content Matters: Clustering Web Pages for QoE Analysis with WebCLUST”
    L. Jiménez, M. Solera, M. Toril, C. Gijón, P. Casas
    IEEE Access, pp. 1-16, 2021. [Impact Factor: 3.367]
  1. “On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series”
    G. García González, P. Casas, A. Fernández, G. Gómez
    ACM SIGMETRICS Performance Evaluation Review, vol. 48, no. 4, pp. 49-52, 2021. [Research Impact Score: 2.48]
  1. “Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling”
    N. Wehner, M. Seufert, J. Schüler, S. Wassermann, P. Casas, T. Hoßfeld
    ACM SIGMETRICS Performance Evaluation Review, vol. 48, no. 4, pp. 37-40, 2021. [Research Impact Score: 2.48]
  1. “Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis”
    S. Wassermann, T. Cuvelier, P. Mulinka, P. Casas
    IEEE Transactions on Network and Service Management, vol. 18, no. 2, pp. 1832-1849, 2020. [Impact Factor: 4.195]
  1. “ViCrypt to the Rescue: Real-time, Machine Learning-driven Video QoE Monitoring for Encrypted Streaming Traffic”
    S. Wassermann, M. Seufert, P. Casas, G. Li, L. Kuang
    IEEE Transactions on Network and Service Management, vol. 17, no. 4, pp. 2007-2023, 2020. [Impact Factor: 4.195]
  1. “White Paper on Crowdsourced Network and QoE Measurements – Definitions, Use Cases and Challenges” [paper]
    A. Beyer, A. Hall, A. Schwind, C. Gassner, F. Guillemin, F. Wamser, K. Wascinski, M. Hirth, M. Seufert, P. Casas, P. Tran-Gia, S. Wunderer, T. Hoßfeld, W. Robitza, W. Wascinski, Z. Ben Houidi
    Tobias Hoßfeld and Stefan Wunderer, eds., Würzburg, Germany, 2020.
  1. “A Survey on Big Data for Network Traffic Monitoring and Analysis”
    A. D’Alconzo, I. Drago, A. Morichetta, M. Mellia, P. Casas
    IEEE Transactions on Network and Service Management, vol. 16, no. 3, pp. 800-813, 2019. [Impact Factor: 4.195]
  1. “A Fair Share for All: TCP-inspired Adaptation Logic for QoE Fairness among Heterogeneous HTTP Adaptive Video Streaming Clients”
    N. Wehner, M. Seufert, P. Casas
    IEEE Transactions on Network and Service Management, vol. 16, no. 2, pp. 475-488, 2019. [Impact Factor: 4.195]
  1. “Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-Aware Traffic Management”
    M. Seufert, S. Wassermann, P. Casas
    IEEE Communications Letters, vol. 23, no. 7, pp. 1145-1148, 2019. [Impact Factor: 3.436]
  1. “DeepSec meets RawPower – Deep Learning for Detection of Network Attacks Using Raw Representations”
    G. Marin, P. Casas, G. Capdehourat
    ACM SIGMETRICS Performance Evaluation Review, vol. 46, no. 3, pp. 147-150, 2018. [Research Impact Score: 2.48]
  1. “Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones”
    S. Wassermann, N. Wehner, P. Casas
    ACM SIGMETRICS Performance Evaluation Review, vol. 46, no. 3, pp. 155-158, 2018. [Research Impact Score: 2.48]
  1. (*) “Next to You: Monitoring Quality of Experience in Cellular Networks from the End-devices”
    P. Casas, M. Seufert, F. Wamser, B. Gardlo, A. Sackl, R. Schatz
    IEEE Transactions on Network and Service Management, vol. 13, no. 2, pp. 181-196, 2016. [Impact Factor: 4.195]
  1. “Grasping Popular Applications in Cellular Networks with Big Data Analytics Platforms”
    P. Fiadino, P. Casas, A. D’Alconzo, M. Schiavone, A. Bär
    IEEE Transactions on Network and Service Management, vol. 13, no. 3, pp. 681-695, 2016. [Impact Factor: 4.195]
  1. “DBStream: a Holistic Approach to Large-scale Network Traffic Monitoring and Analysis”
    A. Bär, P. Casas, A. D’Alconzo, P. Fiadino, L. Golab, M. Mellia, E. Schikuta
    Computer Networks, ELSEVIER, vol. 107, part 1, pp. 5-19, 2016. [Impact Factor: 4.474]
  1. “Modeling the YouTube Stack: from Packets to Quality of Experience”
    F. Wamser, P. Casas, M. Seufert, C. Moldovan, P. Tran-Gia, T. Hossfeld
    Computer Networks, ELSEVIER, vol. 109, part 2, pp. 211-224, 2016. [Impact Factor: 4.474]
  1. (*) “Unveiling Network and Service Performance Degradation in the Wild with mPlane”
    P. Casas, P. Fiadino, S. Wassermann, S. Traverso, A. D’Alconzo, E. Tego, F. Matera, M. Mellia
    IEEE Communications Magazine, vol. 54, no. 3, pp. 71-79, 2016. [Impact Factor: 9.619]
  1. “Hunting Attacks in the Dark: Clustering and Correlation Analysis for Unsupervised Anomaly Detection”
    J. Mazel, P. Casas, R. Fontugne, K. Fukuda, P. Owezarski
    International Journal of Network Management, WILEY, vol. 25, pp. 283-305, 2015. [Impact Factor: 1.712]
  1. (*) “When YouTube Does not Work – Analysis of QoE-Relevant Degradation in Google CDN Traffic”
    P. Casas, A. D’Alconzo, P. Fiadino, A. Bär, A. Finamore, T. Zseby
    IEEE Transactions on Network and Service Management, vol. 11, no. 4, pp. 441-457, 2014. [Impact Factor: 4.195]
  1. “mPlane: an Intelligent Measurement Plane for the Internet”
    B. Trammell, P. Casas, D. Rossi, A. Bär, Z. Ben-Houidi, I. Leontiadis, T. Szemethy, M. Mellia
    IEEE Communications Magazine, vol. 52, no. 5, pp. 148-156, 2014. [Impact Factor: 9.619]
  1. (*) “Quality of Experience in Cloud Services: Survey and Measurements”
    P. Casas, R. Schatz
    Computer Networks, ELSEVIER, vol. 68, pp. 149-165, 2014. [Impact Factor: 4.474]
  1. (*) “YOUQMON: A System for On-line Monitoring of YouTube QoE in Operational 3G Networks”
    P. Casas, M. Seufert, R. Schatz
    ACM SIGMETRICS Performance Evaluation Review, vol. 41, no. 2, pp. 44-46, 2013. [Research Impact Score: 2.48]
  1. (*) “Knowledge-Independent Traffic Monitoring: Unsupervised Detection of Network Attacks”
    P. Casas, J. Mazel, P. Owezarski
    IEEE Network Magazine, vol. 26, no. 1, pp. 13-21, 2012. [Impact Factor: 10.693]
  1. (*) “Taming Traffic Dynamics: Analysis and Improvements”
    P. Casas, F. Larroca, J. L. Rougier, and S. Vaton
    Computer Communications, ELSEVIER, vol. 35, no. 5, pp. 565-578, 2012. [Impact Factor: 3.167]
  1. (*) “Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge”
    P. Casas, J. Mazel, P. Owezarski
    Computer Communications, ELSEVIER, vol. 35, no. 7, pp. 772-783, 2012. [Impact Factor: 3.167]
  1. (*) “Reactive Robust Routing: Anomaly Localization and Routing Reconfiguration for Dynamic Networks”
    P. Casas, L. Fillatre, S. Vaton, I. Nikiforov
    Journal of Network and Systems Management, SPRINGER, vol. 19, no. 1, pp. 58-83, 2011. [Impact Factor: 2.139]
  1. (*) “Optimal Volume Anomaly Detection and Isolation in Large-Scale IP Networks using Coarse-Grained Measurements”
    P. Casas, S. Vaton, L. Fillatre, I. Nikiforov
    Computer Networks, ELSEVIER, vol. 54, no. 11, pp. 1750-1766, 2010. [Impact Factor: 4.474]
  1. “End-to-End Quality of Service-based Admission Control using the Fictitious Network Analysis”
    P. Belzarena, P. Bermolen, P. Casas, M. Simon
    Computer Communications, ELSEVIER, vol. 33, no. 1, pp. 157-166, 2010. [Impact Factor: 3.167]
  1. “Virtual Paths Networks Fast Performance Analysis”
    P. Belzarena, P. Bermolen, P. Casas, M. Simon
    Mobility Management and Quality-of-Service for Heterogeneous Networks (D. Kouvatsos ed.), River Publishers, ISBN: 978-87-92329-20-2, 2009.

International Conferences & Workshops

  1. “GRAPHSEC – Advancing the Application of AI/ML to Network Security through Graph Neural Networks”
    P. Casas, J. Vanerio, J. Ullrich, M. Findrik, P. Barlet-Ros
    in 5th International Conference on Machine Learning for Networking (MLN), Paris, France, 2022.
  1. “GROWS – Improving Decentralized Resource Allocation in Wireless Networks through Graph Neural Networks”
    M. Randall, P. Belzarena, F. Larroca, P. Casas
    in 1st ACM CoNEXT Graph Neural Networking Workshop (GNNet), Rome, Italy, 2022.
  1. “Fingerprinting Webpages and Smartphone Apps from Encrypted Network Traffic with WebScanner”
    P. Casas, N. Wehner, S. Wassermann, M. Seufert
    in 27th IEEE Global Internet (GI) Symposium, Paris, France, 2022.
  1. “Deep Reinforcement Learning and Graph Neural Networks for Efficient Resource Allocation in 5G Networks”
    M. Randall, P. Belzarena, F. Larroca, P. Casas
    in 14th IEEE Latin-American Conference on Communications (LATINCOM), Rio de Janeiro, Brazil, 2022.
  1. “Steps Towards Continual Learning in Multivariate Time-Series Anomaly Detection using Variational Autoencoders”
    G. García González, P. Casas, A. Fernández, G. Gómez
    in ACM Internet Measurement Conference Proceedings (IMC), Nice, France, 2022 (poster).
  1. “PHISHWEB – a Progressive, Multi-Layered System for Phishing Websites Detection”
    L. Torrealba, J. Bustos-Jiménez, P. Casas
    in ACM Internet Measurement Conference Proceedings (IMC), Nice, France, 2022 (poster).
  1. “Monitoring User-Perceived Quality in an Encrypted Internet – AI to the Rescue”
    P. Casas
    in Internet Architecture Board (IAB) Workshop on Management Techniques in Encrypted Networks, 2022.
  1. “Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions”
    G. García González, S. Martinez Tagliafico, A. Fernández, G. Gómez, J. Acuña, C. Mariño, P. Casas
    in 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 8th SIGKDD International Workshop on Mining and Learning from Time Series — Deep Forecasting: Models, Interpretability, and Applications (MILETS), Washington DC, USA, 2022.
  1. “Not all Web Pages are Born the Same. Content Tailored Learning for Web QoE Inference”
    P. Casas, S. Wassermann, N. Wehner, M. Seufert, T. Hoßfeld
    in 6th IEEE International Symposium on Measurements & Networking (M&N), Padua, Italy, 2022.
  1. “X-Ray Goggles for the ISP: Improving in-Network Web and App QoE Monitoring with Deep Learning”
    P. Casas, S. Wassermann, M. Seufert, N. Wehner, O. Dinica, T. Hoßfeld
    in 6th IFIP Network Traffic Measurement and Analysis Conference (TMA), Enschede, The Netherlands, 2022.
  1. “DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders”
    G. García González, S. Martinez Tagliafico, A. Fernández, G. Gómez, J. Acuña, P. Casas
    in 7th IEEE European Symposium on Security and Privacy, 7th Workshop on Traffic Measurements for Cybersecurity (WTMC), Genova, Italy, 2022.
  1. “DeepCrypt – Deep Learning for QoE Monitoring and Fingerprinting of User Actions in Adaptive Video Streaming”
    P. Casas, M. Seufert, S. Wassermann, B. Gardlo, N. Wehner, R. Schatz
    in 8th IEEE International Conference on Network Softwarization (NetSoft), Milan, Italy, 2022.
  1. “Where is the Light(ning) in the Taproot Dawn? Unveiling the Bitcoin Lightning (IP) Network”
    P. Casas, M. Romiti, P. Holzer, S. Ben Mariem, B. Donnet, B. Haslhofer
    in 10th IEEE International Conference on Cloud Networking (CloudNet), 2021.
  1. “Mobile Web and App QoE Monitoring for ISPs – from Encrypted Traffic to Speed Index through Machine Learning”
    P. Casas, S. Wassermann, N. Wehner, M. Seufert, J. Schüler, T. Hoßfeld
    in 13th IFIP Wireless and Mobile Networking Conference (WMNC), Montreal, Canada, 2021.
    Best Paper Award
  1. “10 Years of Internet-QoE Measurements: Video, Cloud, Conferencing, Web, and Apps, What do we Need from the Network Side?”
    P. Casas
    in Internet Architecture Board (IAB) Workshop on Measuring Network Quality for the End Users, 2021.
  1. “How are your Apps Doing? QoE Inference and Analysis in Mobile Devices”
    N. Wehner, M. Seufert, J. Schüler, P. Casas, T. Hoßfeld
    in 17th IEEE International Conference on Network and Service Management (CNSM), Izmir, Turkey, 2021.
  1. “Quality that Matters: QoE Monitoring in Education Service Provider (ESP) Networks”
    N. Wehner, M. Seufert, V. Wieser, P. Casas, G. Capdehourat
    in IFIP/IEEE International Symposium on Integrated Network Management (IM), Bordeaux, France, 2021.
  1. “On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series”
    G. García González, P. Casas, A. Fernández, G. Gómez
    in IFIP Performance 2020 Workshops, Workshop on AI in Networks (WAIN), Milano, Italy, 2020.
  1. “Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling”
    N. Wehner, M. Seufert, J. Schüler, S. Wassermann, P. Casas, T. Hoßfeld
    in IFIP Performance 2020 Workshops, Workshop on AI in Networks (WAIN), Milano, Italy, 2020.
  1. “Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic”
    S. Wassermann, P. Casas, Z. Ben Houidi, A. Huet, M. Seufert, N. Wehner, J. Schuler, S. Cai, H. Shi, J. Xu, T. Hoßfeld, D. Rossi
    in 16th IEEE International Conference on Network and Service Management (CNSM), Izmir, Turkey, 2020.
  1. “Mind the (QoE) Gap: On the Incompatibility of Web and Video QoE Models in the Wild”
    M. Seufert, N. Wehner, V. Wieser, P. Casas, G. Capdehourat
    in 16th IEEE International Conference on Network and Service Management (CNSM), Izmir, Turkey, 2020.
  1. “Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming”
    N. Wehner, M, Seufert, S. Egger-Lampl, B. Gardlo, P. Casas, R. Schatz
    in 28th ACM International Conference on Multimedia (MM), Seattle, USA, 2020.
  1. “Network Anomaly Detection with Net-GAN, a Generative Adversarial Network for Analysis of Multivariate Time-Series”
    G. García González, P. Casas, A. Fernández, G. Gómez
    in ACM SIGCOMM 2020 Posters, Demos, and Student Research Competition, New York, USA, 2020 (poster).
  1. “RAL – Reinforcement Active Learning for Network Traffic Monitoring and Analysis”
    S. Wassermann, T. Cuvelier, P. Casas
    in ACM SIGCOMM 2020 Posters, Demos, and Student Research Competition, New York, USA, 2020 (poster).
  1. “How Good is your Mobile (Web) Surfing? Speed Index Inference from Encrypted Traffic”
    S. Wassermann, P. Casas, M. Seufert, N. Wehner, J. Schüler, T. Hoßfeld
    in ACM SIGCOMM 2020 Posters, Demos, and Student Research Competition, New York, USA, 2020 (poster).
  1. “Inferring Web QoE with Machine Learning from Encrypted Network Traffic”
    N. Wehner, M. Seufert, J. Schüler, S. Wassermann, P. Casas, T. Hoßfeld
    in 2nd KuVS Experts Workshop: Machine Learning & Networking (FG-MLN), Würzburg, Germany, 2020.
  1. “HUMAN – Hierarchical Clustering for Unsupervised Anomaly Detection & Interpretation”
    P. Mulinka, P. Casas, K. Fukuda, L. Kencl
    in 11th IEEE International Conference on Networks of the Future (NoF), Bordeaux, France, 2020.
  1. “Net-GAN: Recurrent Generative Adversarial Networks for Network Anomaly Detection in Multivariate Time-Series”
    G. García González, P. Casas, A. Fernández, G. Gómez
    in 4th Network Traffic Measurement and Analysis Conference (TMA), Berlin, Germany, 2020 (poster).
  1. “WhatsThat? On the Usage of Hierarchical Clustering for Unsupervised Detection & Interpretation of Network Attacks”
    P. Mulinka, K. Fukuda, P. Casas, L. Kencl
    in 5th IEEE European Symposium on Security and Privacy, 5th Workshop on Traffic Measurements for Cybersecurity (WTMC), Genova, Italy, 2020.
  1. “Two Decades of AI4NETS – Challenges & Research Directions”
    P. Casas
    in 5th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet), Budapest, Hungary, 2020.
  1. “DeepMAL – Deep Learning Models for Malware Traffic Detection and Classification”
    G. Marín, P. Casas, G. Capdehourat
    in 3rd International Data Science Conference (IDSC), Dornbirn, Austria. 2020.
  1. “NetSEC at High-Speed: Distributed Stream Learning for Security in Big Networking Data”
    P. Casas, P. Mulinka, J. Vanerio
    in 3rd International Data Science Conference (IDSC), Dornbirn, Austria. 2020.
  1. “Machine Learning-based Real-time Estimation of Quality of Experience from Encrypted Video Streaming Traffic”
    N. Wehner, M. Seufert, S. Wassermann, P. Casas, T. Hoßfeld
    in 1st KuVS Experts Workshop: Machine Learning & Networking (FG-MLN), Munich, Germany, 2020.
  1. “All that Glitters is not Bitcoin – Unveiling the Centralized Nature of the BTC (IP) Network”
    S. Ben Mariem, P. Casas, M. Romiti, B. Donnet, R. Stütz, B. Haslhofer
    in IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, Hungary, 2020.
  1. “VICRYPT: Real-time, Fine-grained Prediction of Video Quality from Encrypted Streaming Traffic”
    S. Wassermann, M. Seufert, P. Casas, G. Li, L. Kuang
    in ACM Internet Measurement Conference Proceedings (IMC), Amsterdam, The Netherlands, 2019 (poster).
  1. “EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis”
    A. Morichetta, P. Casas, M. Mellia
    in 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks (Big-DAMA), Orlando, USA, 2019.
  1. “Continuous and Adaptive Learning over Big Streaming Data for Network Security”
    P. Mulinka, P. Casas, J. Vanerio
    in 8th IEEE International Conference on Cloud Networking (CloudNet), Coimbra, Portugal, 2019.
  1. “Should I (re)Learn or Should I Go(on)? Stream Machine Learning for Adaptive Defense against Network Attacks”
    P. Casas, P. Mulinka, J. Vanerio
    in 26th ACM Conference on Computer and Communications Security (CCS), 6th ACM Workshop on Moving Target Defense (MTD), London, UK, 2019.
  1. “Decrypting QoE in an Encrypted Internet – AI to the Rescue”
    S. Wassermann, M. Seufert, P. Casas
    in RIPE Academic Cooperation Initiative (RACI), RIPE 79, Rotterdam, Netherlands, 2019.
  1. “ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring”
    S. Wassermann, T. Cuvelier, P. Mulinka, P. Casas
    in International Conference on Network and Service Management (CNSM), Halifax, Canada, 2019.
  1. “Improving Stream-Based Active Learning with Reinforcement Learning”
    S. Wassermann, T. Cuvelier, P. Casas
    in NeurIPS, 14th Women in Machine Learning Workshop (WIML), Vancouver, Canada, 2019.
  1. “Decrypting Video Quality from Encrypted Streaming Traffic”
    S. Wassermann, M. Seufert, P. Casas
    in NeurIPS, 14th Women in Machine Learning Workshop (WIML), Vancouver, Canada, 2019.
  1. “RAL – Improving Stream-Based Active Learning by Reinforcement Learning”
    S. Wassermann, T. Cuvelier, P. Casas
    in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Workshop on Interactive Adaptive Learning (IAL), Würzburg, Germany, 2019.
  1. “I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic”
    S. Wassermann, M. Seufert, P. Casas, G. Li, L. Kuang
    in 4th ACM MOBICOM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE), Los Cabos, Mexico, 2019.
  1. “On the Analysis of YouTube QoE in Cellular Networks through in-Smartphone Measurements”
    S. Wassermann, P. Casas, M.Seufert, F. Wamser
    in 12th IFIP Wireless and Mobile Networking Conference (WMNC), Paris, France, 2019.
    Best Paper Award Runner Up
  1. “Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming”
    S. Wassermann, M. Seufert, P. Casas, G. Li, L. Kuang
    in 3rd Network Traffic Measurement and Analysis Conference (TMA), Paris, France, 2019.
  1. “Steps Towards Explainable AI (XAI) for Clustering: the Case of Unsupervised QoE Analysis for YouTube Encrypted Traffic”
    A. Morichetta, P. Casas
    in 9th TMA PhD School – 3rd Network Traffic Measurement and Analysis Conference (TMA), Paris, France, 2019.
    Best Student Poster Award Runner Up
  1. “MLSEC – Benchmarking Shallow and Deep Machine Learning Models for Network Security”
    P. Casas, G. Marín, G. Capdehourat, M. Korczynski
    in IEEE S&P 2019 Workshops, 4th Workshop on Traffic Measurements for Cybersecurity (WTMC), San Francisco, USA, 2019.
  1. “Deep in the Dark – Deep Learning-based Malware Traffic Detection Without Expert Knowledge”
    G. Marín, P. Casas, G. Capdehourat
    in IEEE S&P 2019 Workshops, 2nd Workshop on Deep Learning and Security (DLS), San Francisco, USA, 2019.
  1. “Online Detection of Stalling and Scrubbing in Adaptive Video Streaming”
    L. Maggi, J. Leguay, M. Seufert, P. Casas
    in 17th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Avignon, France, 2019.
  1. “Is QUIC becoming the New TCP? On the Potential Impact of a New Protocol on Networked Multimedia QoE”
    M. Seufert, R. Schatz, N. Wehner, B. Gardlo, P. Casas
    in 11th International Conference on Quality of Multimedia Experience, Berlin, Germany, 2019.
  1. “Features that Matter: Feature Selection for On-line Stalling Prediction in Encrypted Video Streaming”
    M. Seufert, P. Casas, N. Wehner, G. Li, L. Kuang
    in IEEE Conference on Computer Communications (INFOCOM), 2nd Workshop on Network Intelligence, Paris, France, 2019.
  1. “QUICker or not? – an Empirical Analysis of QUIC vs TCP for Video Streaming QoE Provisioning”
    M. Seufert, R. Schatz, N. Wehner, P. Casas
    in 3rd International Workshop on Quality of Experience Management, Paris, France, 2019.
  1. “Stream-based Machine Learning for Real-time QoE Analysis of Encrypted Video Streaming Traffic”
    M. Seufert, P. Casas, N. Wehner, G. Li, L. Kuang
    in 3rd International Workshop on Quality of Experience Management, Paris, France, 2019.
  1. “Remember the Good, Forget the Bad, do it Fast: Continuous Learning over Streaming Data”
    P. Mulinka, S. Wassermann, G. Marín, P. Casas
    in NeurIPS, Workshop on Continual Learning, Montreal, Canada, 2018.
  1. “DeepSec meets RawPower – Deep Learning for Detection of Network Attacks Using Raw Representations”
    G. Marín, P. Casas, G. Capdehourat
    in IFIP Performance 2018 Workshops, Workshop on AI in Networks (WAIN), Toulouse, France, 2018.
  1. “Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones”
    S. Wassermann, N. Wehner, P. Casas
    in IFIP Performance 2018 Workshops, Workshop on AI in Networks (WAIN), Toulouse, France, 2018.
  1. “Vivisecting Blockchain P2P Networks – Unveiling the Bitcoin IP Network”
    S. Ben Mariem, P. Casas, B. Donnet
    in ACM CoNEXT 2018 Student Workshop, Crete, Greece, 2018.
  1. “A Fair Share for All: Novel Adaptation Logic for QoE Fairness of HTTP Adaptive Video Streaming”
    M. Seufert, N. Wehner, P. Casas, F. Wamser
    in 14th IEEE International Conference on Network and Service Management (CNSM), Rome, Italy, 2018.
    Best Paper Award
  1. “Beauty is in the Eye of the Smartphone Holder – A Data Driven Analysis of YouTube Mobile QoE”
    N. Wehner, S. Wassermann, P. Casas, M. Seufert, F. Wamser
    in 14th IEEE International Conference on Network and Service Management (CNSM), Rome, Italy, 2018.
  1. “Hi-Clust: Unsupervised Analysis of Cloud Latency Measurements through Hierarchical Clustering”
    P. Mulinka, P. Casas, L. Kencl
    in 7th IEEE International Conference on Cloud Networking (CloudNet), Tokyo, Japan, 2018.
  1. “RawPower: Deep-Learning-based Anomaly Detection from Raw Network Traffic Measurements”
    G. Marín, P. Casas, G. Capdehourat
    in ACM SIGCOMM 2018 Posters, Demos, and Student Research Competition, Budapest, Hungary, 2018.
    2nd Place SRC Undergraduate Competition
  1. “Adaptive Network Security through Stream Machine Learning”
    P. Mulinka, P. Casas
    in ACM SIGCOMM 2018 Posters, Demos, and Student Research Competition, Budapest, Hungary, 2018.
  1. “BIGMOMAL – Big Data Analytics for Mobile Malware Detection”
    S. Wassermann, P. Casas
    in ACM SIGCOMM 2018 Workshop on Traffic Measurements for Cybersecurity (WTMC), Budapest, Hungary, 2018.
  1. “Stream-based Machine Learning for Network Security and Anomaly Detection”
    P. Mulinka, P. Casas
    in ACM SIGCOMM Workshop on Big Data Analytics and Machine Learning for Data Communication Networks (Big-DAMA), Budapest, Hungary, 2018.
  1. “Distributed Internet Paths Performance Analysis through Machine Learning”
    S. Wassermann, P. Casas
    in 2nd Network Traffic Measurement and Analysis Conference (TMA Conference), Vienna, Austria, 2018 (demo).
  1. “YouTube QoE Monitoring with YoMoApp: A Web-based Data Interface for Researchers”
    F. Wamser, N. Wehner, M. Seufert, P. Casas, P. Tran-Gia
    in 2nd Network Traffic Measurement and Analysis Conference (TMA Conference), Vienna, Austria, 2018 (demo).
    Best Demo Award
  1. “Anycast on the Move: A Look at Mobile Anycast Performance”
    S. Wassermann, J. Rula, F. Bustamante, P. Casas
    in 2nd Network Traffic Measurement and Analysis Conference (TMA Conference), Vienna, Austria, 2018.
  1. (*) “On the Analysis of Network Measurements through Machine Learning: the Power of the Crowd”
    P. Casas
    in 2nd Network Traffic Measurement and Analysis Conference (TMA Conference), Vienna, Austria, 2018.
  1. “Streaming Characteristics of Spotify Sessions”
    A. Schwind, F. Wamser, T. Gensler, M. Seufert, P. Casas, and P. Tran-Gia
    in 2nd International Workshop on Quality of Experience Management (QoE Management), Sardinia, Italy, 2018.
  1. (*) “Enhancing Machine Learning based QoE Prediction by Ensemble Models”
    P. Casas, M. Seufert, N. Wehner, A. Schwind, F. Wamser
    in 3rd Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet QoE), Vienna, Austria, 2018.
  1. “Studying the Impact of HAS QoE Factors on the Standardized QoE Model P.1203”
    M. Seufert, N. Wehner, P. Casas,
    in 3rd Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet QoE), Vienna, Austria, 2018.
  1. (*) “Machine Learning Models for Wireless Network Monitoring and Analysis”
    P. Casas
    in IEEE WCNC International Workshop on Big Data with Computational Intelligence for Wireless Networking, Barcelona, Spain, 2018.
  1. (*) “MLNET – Machine Learning Models for Network Analytics”
    P. Casas
    in 2nd International Workshop on Data Analytics Solutions for Real-LIfe APplications (DARLI-AP), Vienna, Austria, 2018.
  1. “BIGMOMAL – Big Data Analytics for Mobile Malware Detection”
    S. Wassermann, P. Casas
    in ACM Internet Measurement Conference Proceedings (IMC), London, UK, 2017 (poster).
  1. “YouTube QoE Monitoring with YoMoApp: a Mobile App for Crowdsourced YouTube QoE Analysis”
    M. Seufert, N. Wehner, F. Wamser, P. Casas
    in ACM Internet Measurement Conference Proceedings (IMC), London, UK, 2017 (poster).
  1. (*) “GML Learning, A Generic Machine Learning Model for Network Measurements Analysis”
    P. Casas, J. Vanerio, K. Fukuda
    in ACM Internet Measurement Conference Proceedings (IMC), London, UK, 2017 (poster).
  1. (*) “Big-DAMA – Big Data Analytics for Large-Scale Network Traffic Monitoring and Analysis”
    P. Casas, F. Soro, J. Vanerio, A. D’Alconzo
    in ACM Internet Measurement Conference Proceedings (IMC), London, UK, 2017 (poster).
  1. (*) “GML Learning, A Generic Machine Learning Model for Network Measurements Analysis”
    P. Casas, J. Vanerio, K. Fukuda
    in Proceedings of the 13th International Conference on Network and Service Management (CNSM), Tokyo, Japan, 2017.
  1. (*) “Improving QoE Prediction in Mobile Video through Machine Learning”
    P. Casas, S. Wassermann
    in Proceedings of the 8th International Conference on Network of the Future (NoF), London, UK, 2017.
    Best Paper Award Runner Up
  1. (*) “Network Security and Anomaly Detection with Big-DAMA, a Big Data Analytics Framework”
    P. Casas, F. Soro, J. Vanerio, G. Settanni, A. D’Alconzo
    in Proceedings of IEEE International Conference on Cloud Networking (CloudNet), Prague, Czech Republic, 2017.
  1. (*) “Super Learning for Anomaly Detection in Cellular Networks”
    P. Casas J. Vanerio
    in Proceedings of the 13th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Rome, Italy, 2017.
  1. “Ensemble-learning Approaches for Network Security and Anomaly Detection”
    J. Vanerio, P. Casas
    in Proceedings of the 1st ACM SIGCOMM Workshop on Big Data Analytics and Machine Learning for Data Communication Networks (Big-DAMA), Los Angeles, USA, 2017.
  1. “Big-DAMA – a Big Data Analytics Framework for Large-Scale Network Traffic Monitoring and Analysis”
    F. Soro, P. Casas, A. D’Alconzo
    in 6th ACM SIGCOMM Networking Networking Women Workshop (N2Women), Los Angeles, USA, 2017.
  1. “Concept and Implementation of Video QoE Measurements in a Mobile Broadband Testbed”
    A. Schwind, M. Seufert, Ö. Alay, P. Casas, P. Tran-Gia, F. Wamser
    in Proceedings of the 1st IEEE/IFIP Workshop on Mobile Network Measurement (MNM), Dublin, Ireland, 2017.
  1. “NETPerfTrace – Predicting Internet Path Dynamics and Performance with Machine Learning”
    S. Wassermann, P. Casas, T. Cuvelier, B. Donnet
    in Proceedings of the 1st ACM SIGCOMM Workshop on Big Data Analytics and Machine Learning for Data Communication Networks (Big-DAMA), Los Angeles, USA, 2017.
  1. (*) “Predicting QoE in Cellular Networks using Machine Learning and in-Smartphone Measurements”
    P. Casas, A. D’Alconzo, F. Wamser, M. Seufert, B. Gardlo, A. Schwind, P. Tran-Gia, R. Schatz
    in Proceedings of the 9th International Conference on Quality of Multimedia Experience (QoMEX), Erfurt, Germany, 2017.
  1. “Unsupervised QoE Field Study for Mobile YouTube Video Streaming with YoMoApp”
    M. Seufert, N. Wehner, F. Wamser, P. Casas, A. D’Alconzo, P. Tran-Gia
    in Proceedings of the 9th International Conference on Quality of Multimedia Experience (QoMEX), Erfurt, Germany, 2017.
  1. “Machine Learning based Prediction of Internet Path Dynamics”
    S. Wassermann, P. Casas, B. Donnet
    in ACM CoNEXT Student Workshop, Irvine, USA, 2016.
  1. (*) “(Semi)-Supervised Machine Learning Approaches for Network Security in High-Dimensional Network Data”
    P. Casas, A. D’Alconzo, G. Settanni, P. Fiadino, F. Skopik
    in Proceedings of the ACM Conference on Computer and Communications Security (CCS), Vienna, Austria, 2016.
  1. (*) “Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks”
    P. Casas, P. Fiadino, A. D’Alconzo
    in Proceedings of the 8th International Workshop on Traffic Monitoring and Analysis (TMA), Louvain La Neuve, Belgium, 2016.
  1. (*) “When Smartphones become the Enemy: Unveiling Mobile Apps Anomalies through Clustering Techniques”
    P. Casas, P. Fiadino, A. D’Alconzo
    in Proceedings of the 6th ACM MOBICOM Workshop on All Things Cellular: Operations, Applications and Challenges (ATC), New York, USA, 2016.
  1. (*) “An Educated Guess on QoE in Operational Networks through Large-Scale Measurements”
    P. Casas, B. Gardlo, R. Schatz, M. Mellia
    in Proceedings of the ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE), Florianopolis, Brazil, 2016.
  1. (*) “Big-DAMA: Big Data Analytics for Network Traffic Monitoring and Analysis”
    P. Casas, A. D’Alconzo, T. Zseby, M. Mellia
    in Proceedings of the ACM SIGCOMM Workshop on Fostering Latin-American Research in Data Communication Networks (LANCOMM), Florianopolis, Brazil, 2016.
  1. “Looking for Network Latency Clusters in the LAC Region”
    A. Formoso, P. Casas
    in Proceedings of the ACM SIGCOMM Workshop on Fostering Latin-American Research in Data Communication Networks (LANCOMM), Florianopolis, Brazil, 2016.
  1. “WhatsApp Calling: a Revised Analysis on WhatsApp’s Architecture and Calling Service”
    J. Vanerio, P. Casas
    in Proceedings of the ACM SIGCOMM Workshop on Fostering Latin-American Research in Data Communication Networks (LANCOMM), Florianopolis, Brazil, 2016.
  1. (*) “Detecting and Diagnosing Anomalies in Cellular Networks using Random Neural Networks”
    P. Casas, A. D’Alconzo, P. Fiadino, C. Callegari
    in Proceedings of the 7th International Workshop on TRaffic Analysis and Characterization (TRAC), Paphos, Cyprus, 2016.
  1. “YoMoApp: a Mobile App for Crowdsourced Analysis of YouTube QoE in Mobile Networks”
    F. Wamser, M. Seufert, P. Casas, R. Irmer, R. Schatz, P. Tran-Gia
    in 4th ACM MOBICOM Mobile App Competition, New York, USA, 2016.
    Finalist App
  1. “Application-Layer Monitoring of QoE Parameters for Mobile YouTube Video Streaming in the Field”
    M. Seufert, P. Casas, F. Wamser, N. Wehner, R. Schatz, P. Tran-Gia
    in Proceedings of the 6th International Conference on Communications and Electronics (ICCE), Ha Long, Vietnam, 2016.
  1. “The Beauty of Consistency in Radio-Scheduling Decisions”
    E. Liotou, R. Schatz, A. Sackl, P. Casas, D. Tsolkas, N. Passas, L. Merakos
    in Proceedings of IEEE Globecom Workshop on Quality of Experience for Multimedia Communications, Washington, USA, 2016.
  1. “Reverse Traceroute with DisNETPerf, a Distributed Internet Paths Performance Analyzer”
    S. Wassermann, P. Casas, B. Donnet, G. Leduc, M. Mellia
    demo at the 41st IEEE Conference on Local Computer Networks (LCN), Dubai, UAE, 2016.
  1. “On the Analysis of Internet Paths with DisNETPerf, a Distributed Paths Performance Analyzer”
    S. Wassermann, P. Casas
    in Proceedings of the 10th IEEE Workshop on Network Measurements (WNM), Dubai, UAE, 2016.
  1. “Towards DisNETPerf: a Distributed Internet Paths Performance Analyzer”
    S. Wassermann, P. Casas, B. Donnet
    in Proceedings of the ACM CoNEXT Student Workshop, Heidelberg, Germany, 2015.
  1. (*) “Taming QoE in Cellular Networks: from Subjective Lab Studies to Measurements in the Field”
    P. Casas, B. Gardlo, M. Seufert, F. Wamser, R. Schatz
    in Proceedings of the 11th International Conference on Network and Service Management (CNSM), Barcelona, Spain, 2015.
  1. “On the Monitoring of YouTube QoE in Cellular Networks from End-devices”
    M. Seufert, F. Wamser, P. Casas, R. Irmer, P. Tran-Gia, R. Schatz
    in Proceedings of Seventh ACM S3 Workshop, Paris, France, 2015.
  1. “Understanding YouTube QoE in Cellular Networks with YoMoApp – a QoE Monitoring Tool for YouTube Mobile”
    F. Wamser, M. Seufert, P. Casas, R. Irmer, P. Tran-Gia, R. Schatz
    in Proceedings of ACM MOBICOM, Paris, France, 2015.
  1. “Challenging Entropy-based Anomaly Detection and Diagnosis in Cellular Networks”
    P. Fiadino, A. D’Alconzo, M. Schiavone, P. Casas
    in Proceedings of ACM SIGCOMM, London, UK, 2015.
  1. (*) “Exploring QoE in Cellular Networks: How Much Bandwidth do you Need for Popular Smartphone Apps?”
    P. Casas, R. Schatz, F. Wamser, M. Seufert, R. Irmer
    in Proceedings of the 5th ACM SIGCOMM Workshop on All Things Cellular: Operations, Applications and Challenges (ATC), London, UK, 2015.
  1. “RCATool – A Framework for Detecting and Diagnosing Anomalies in Cellular Networks”
    P. Fiadino, A. D’Alconzo, M. Schiavone, P. Casas
    in Proceedings of the 27th International Teletraffic Congress (ITC), Ghent, Belgium, 2015.
  1. “Online Social Networks Anatomy: on the Analysis of Facebook and WhatsApp in Cellular Networks”
    P. Fiadino, P. Casas, M. Schiavone, A. D’Alconzo
    in Proceedings of the 14th IFIP Networking, Toulouse, France, 2015.
  1. (*) “On the Analysis of QoE in Cellular Networks: from Subjective Tests to Large-scale Traffic Measurements”
    P. Casas, M. Varela, P. Fiadino, M. Schiavone, H. Rivas, R. Schatz
    in Proceedings of the 6th International Workshop on Traffic Analysis and Characterization (TRAC), Dubrovnik, Croacia, 2015.
  1. “YouTube QoE on Mobile Devices: Subjective Analysis of Classical vs. Adaptive Video Streaming”
    M. Seufert, F. Wamser, P. Casas, R. Irmer, P. Tran-Gia, R. Schatz
    in Proceedings of the 6th International Workshop on Traffic Analysis and Characterization (TRAC), Dubrovnik, Croacia, 2015.
  1. “Towards Automatic Detection and Diagnosis of Internet Service Anomalies via DNS Traffic Analysis”
    P. Fiadino, A. D’Alconzo, M. Schiavone, P. Casas
    in Proceedings of the 6th International Workshop on Traffic Analysis and Characterization (TRAC), Dubrovnik, Croacia, 2015.
  1. “YoMoApp: a Tool for Analyzing QoE of YouTube HTTP Adaptive Streaming in Mobile Networks”
    F. Wamser, M. Seufert, P. Casas, R. Irmer, P. Tran-Gia, R. Schatz
    in Proceedings of the European Conference on Networks and Communications (EuCNC), Paris, France, 2015.
  1. (*) “QoMOSN – On the Analysis of Traffic and Quality of Experience in Mobile Online Social Networks”
    P. Casas, P. Fiadino, M. Schiavone
    in Proceedings of the European Conference on Networks and Communications (EuCNC), Paris, France, 2015.
  1. “MTRAC – Discovering M2M Devices in Cellular Networks from Coarse-grained Measurements”
    A. Bär, P. Svoboda, P. Casas
    in Proceedings of the IEEE International Conference on Communications (ICC), London, UK, 2015.
  1. (*) “On the Quest for New KPIs in Mobile Networks: The Impact of Throughput Fluctuations on QoE”
    P. Casas, A. Sackl, R. Schatz, L. Janowski, J. Turk, R. Irmer
    in Proceedings of the IEEE ICC Workshop on Quality of Experience-based Management for Future Internet Applications and Services, London, UK, 2015.
  1. “Cache-Oblivious Scheduling of Shared Workloads”
    A. Bär, L. Golab, S. Ruehrup, M. Schiavone, P. Casas
    in Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE), Seoul, Korea, 2015.
  1. “Quantifying the Impact of Network Bandwidth Fluctuations and Outages on Web QoE”
    A. Sackl, P. Casas, R. Schatz, L. Janowski, R. Irmer
    in Proceedings of the 7th International Workshop on Quality of Multimedia Experience (QoMEX), Messinia, Greece, 2015.
  1. “Vivisecting WhatsApp in Cellular Networks: Servers, Flows, and Quality of Experience”
    P. Fiadino, M. Schiavone, P. Casas
    in Proceedings of the 7th International Workshop on Traffic Monitoring and Analysis (TMA), Barcelona, Spain, 2015.
  1. (*) “On the Analysis of QoE-based Performance Degradation in YouTube Traffic”
    P. Casas, A. D’Alconzo, P. Fiadino, A. Bär, A. Finamore
    in Proceedings of the 10th International Conference on Network and Service Management (CNSM), Rio de Janeiro, Brazil, 2014.
  1. (*) “YouTube in the Move: Understanding the Performance of YouTube in Cellular Networks”
    P. Casas, P. Fiadino, A. Sackl, A. D’Alconzo
    in Proceedings of the IFIP Wireless Days Conference, Rio de Janeiro, Brazil, 2014.
    Best Paper Award Runner Up
  1. “Large-scale Network Traffic Monitoring with DBStream, a System for Rolling Big Data Analysis”
    A. Bär, A. Finamore, P. Casas, L. Golab, M. Mellia
    in Proceedings of the IEEE International Conference on Big Data, Washington DC, USA, 2014.
  1. “Diagnosing Device-Specific Anomalies in Cellular Networks”
    M. Schiavone, P. Romirer-Mairhofer, P. Fiadino, P. Casas
    in Proceedings of the ACM CoNEXT Student Workshop, Sydney, Australia, 2014.
  1. (*) “Characterizing Microsoft Lync Online in Mobile Networks: a Quality of Experience Perspective”
    P. Casas, A. Sackl, S. Egger, R. Schatz
    in Proceedings of the 3rd IEEE International Conference on Cloud Networking (CloudNet), Luxembourg, Luxembourg, 2014.
  1. “On the Detection of Network Traffic Anomalies in Content Delivery Network Services”
    P. Fiadino, A. D’Alconzo, A. Bär, A. Finamore, P. Casas
    in Proceedings of the 26th International Teletraffic Congress (ITC), Karlskrona, Sweden, 2014.
  1. “Vivisecting WhatsApp through Large-scale Measurements in Mobile Networks”
    P. Fiadino, M. Schiavone, P. Casas
    in Proceedings of ACM SIGCOMM, Chicago, USA, 2014.
  1. “DBStream: an Online Aggregation, Filtering and Processing System for Network Traffic Monitoring”
    A. Bär, P. Casas, L. Golab, A. Finamore
    in Proceedings of the 5th International Workshop on Traffic Analysis and Characterization (TRAC), Nicosia, Cyprus, 2014.
  1. “Who to Blame when YouTube is not Working? Detecting Anomalies in CDN-provisioned Services”
    A. D’Alconzo, P. Casas, P. Fiadino, A. Bär, A. Finamore
    in Proceedings of the 5th International Workshop on Traffic Analysis and Characterization (TRAC), Nicosia, Cyprus, 2014.
  1. “Characterizing Web Services Provisioning via CDNs: the Case of Facebook”
    P. Fiadino, A. D’Alconzo, P. Casas
    in Proceedings of the 5th International Workshop on Traffic Analysis and Characterization (TRAC), Nicosia, Cyprus, 2014.
  1. (*) “Coping with 0-day Attacks through Unsupervised Network Intrusion Detection”
    P. Casas, J. Mazel, P. Owezarski
    in Proceedings of the 5th International Workshop on Traffic Analysis and Characterization (TRAC), Nicosia, Cyprus, 2014.
  1. (*) “YouTube all Around: Characterizing YouTube from Mobile and Fixed-line Network Vantage Points”
    P. Casas, P. Fiadino, A. Bär, A. D’Alconzo, A. Finamore, M. Mellia
    in Proceedings of the European Conference on Networks and Communications (EuCNC), Bologna, Italy, 2014.
  1. (*) “Understanding HTTP Traffic and CDN Behavior from the Eyes of a Mobile ISP”
    P. Casas, P. Fiadino, A. Bär
    in Proceedings of the 15th International Conference on Passive and Active Measurement (PAM), Los Angeles, USA, 2014.
  1. “Unsupervised Detection of Network Attacks in the Dark”
    P. Owezarski, P. Casas, J. Mazel
    in Proceedings of the 1st International Workshop on Big Data Applications and Principles (BigDAP), Madrid, Spain, 2014.
  1. (*) “IP Mining: Extracting Knowledge from the Dynamics of the Internet Addressing Space”
    P. Casas, P. Fiadino, A. Bär
    in Proceedings of the 25th International Teletraffic Congress (ITC), Shanghai, China, 2013.
    Best Paper Award
  1. (*) “Mini-IPC: A Minimalist Approach for HTTP Traffic Classification using IP Addresses”
    P. Casas, P. Fiadino
    in Proceedings of the 4th International Workshop on Traffic Analysis and Classification (TRAC), Cagliari, Italy, 2013.
  1. (*) “YOUQMON: A System for On-line Monitoring of YouTube QoE in Operational 3G Networks”
    P. Casas, M. Seufert, R. Schatz
    in Proceedings of the 31st IFIP Performance, Vienna, Austria, 2013.
  1. (*) “A First Look at Quality of Experience in Personal Cloud Storage Services”
    P. Casas, H. R. Fischer, S. Suette, R. Schatz
    in Proceedings of the IEEE ICC Workshop on Mobile Cloud Networking and Services, Budapest, Hungary, 2013.
  1. (*) “Quality of Experience in Remote Virtual Desktop Services”
    P. Casas, M. Seufert, S. Egger, R. Schatz
    in Proceedings of the IFIP/IEEE Workshop on QoE-Centric Management (QCMan), Ghent, Belgium, 2013.
  1. “HTTPTag: A Flexible On-line HTTP Classification System for Operational 3G Networks”
    P. Fiadino, A. Bär, P. Casas
    in Proceedings of IEEE INFOCOM, Turin, Italy, 2013.
  1. (*) “Quality of Experience in Telepresence and Remote Collaboration Cloud Services”
    P. Casas, D. Paraskevopoulou, G. Settanni, S. Suette, P. Zwickl, R. Schatz
    in Proceedings of the 4th International Workshop on Perceptual Quality of Systems (PQS), Vienna, Austria, 2013.
  1. “Need for Speed? On QoE for File Storage Services”
    P. Amrehn, K. Vandenbroucke, T. Hoßfeld, K. De Moor, M. Hirth, R. Schatz, P. Casas
    in Proceedings of the 4th International Workshop on Perceptual Quality of Systems (PQS), Vienna, Austria, 2013.
  1. (*) “Monitoring YouTube QoE: Is Your Mobile Network Delivering the Right Experience to your Customers?”
    P. Casas, R. Schatz, T. Hoßfeld
    in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, China, 2013.
  1. (*) “YouTube & Facebook Quality of Experience in Mobile Broadband Networks”
    P. Casas, A. Sackl, S. Egger, R Schatz
    in Proceedings of IEEE Globecom Workshop on Quality of Experience for Multimedia Communications, California, USA, 2012.
  1. “Passive YouTube QoE Monitoring for ISPs”
    R. Schatz, T. Hoßfeld, P. Casas
    in Proceedings of the 2nd International Workshop on Future Internet and Next Generation Networks, Palermo, Italy, 2012.
    Best Paper Award
  1. (*) “UNADA: Unsupervised Network Anomaly Detection using Sub-Space Outliers Ranking”
    P. Casas, J. Mazel, P. Owezarski
    in Proceedings of the 10th IFIP Networking, Valencia, Spain, 2011.
  1. (*) “MINETRAC: Mining Flows for Unsupervised Analysis & Semi-Supervised Classification”
    P. Casas, J. Mazel, P. Owezarski
    in Proceedings of the 23rd International Teletraffic Congress (ITC), San Francisco, USA, 2011.
  1. (*) “Steps Towards Autonomous Network Security: Unsupervised Detection of Network Attacks”
    P. Casas, J. Mazel, P. Owezarski
    in Proceedings of the 4th IFIP International Conference on New Technologies, Mobility and Security (NTMS), Paris, France, 2011.
  1. (*) “On the Use of Sub-Space Clustering & Evidence Accumulation for Traffic Analysis & Classification”
    P. Casas, J. Mazel, P. Owezarski
    in Proceedings of the 2nd International Workshop on Traffic Analysis and Classification (TRAC), Istanbul, Turkey, 2011.
  1. “Sub-Space Clustering & Evidence Accumulation for Unsupervised Network Anomaly Detection”
    J. Mazel, P. Casas, P. Owezarski
    in Proceedings of the 3rd International Workshop on Traffic Monitoring and Analysis (TMA), Vienna, Austria, 2011.
  1. “Sub-Space Clustering, Inter-Clustering Results Association & Anomaly Correlation for Unsupervised Network Anomaly Detection”
    J. Mazel, P. Casas, Y. Labit, P. Owezarski
    in Proceedings of the 7th International Conference on Network and Service Management (CNSM), Paris, France, 2011.
    Best Student Paper Award
  1. “Détection non Supervisée d’Anomalies du Trafic”
    J. Mazel, P. Casas, Y. Labit, P. Owezarski
    in Proceedings of Colloque Francophone sur l’Ingénierie des Protocoles (CFIP), Sainte Maxime, France, 2011.
  1. (*) “On the Use of Random Neural Networks for Traffic Matrix Estimation in Large-Scale IP Networks”
    P. Casas, S. Vaton
    in Proceedings of the 1st International Workshop on Traffic Analysis and Classification (TRAC), Caen, France, 2010.
  1. (*) “Volume Anomaly Detection in Data Networks: an Optimal Detection Algorithm vs the PCA Approach”
    P. Casas, L. Fillatre, S. Vaton, I. Nikiforov
    in Proceedings of the Euro-NF International Workshop on Traffic Management and Traffic Engineering for the Future Internet, Revised Selected Papers, LNCS vol. 5464, Porto, Portugal, 2009.
  1. (*) “Robust Routing vs Dynamic Load Balancing: a Comprehensive Study and New Directions”
    P. Casas, F. Larroca, J. L. Rougier, S. Vaton
    in Proceedings of the 7th International Workshop on Design of Reliable Communication Networks (DRCN), Washington D.C., USA, 2009.
  1. (*) “Robust Routing Mechanisms for Intradomain Traffic Engineering in Dynamic Networks”
    P. Casas, F. Larroca, S. Vaton
    in Proceedings of the IEEE/IFIP 6th Latin-American Network Operations and Management Symposium (LANOMS), Punta Del Este, Uruguay, 2009.
    Best Paper Award
  1. (*) “Efficient Methods for Traffic Matrix Modeling and On-line Estimation in Large-Scale IP Networks”
    P. Casas, S. Vaton, L. Fillatre, T. Chonavel
    in Proceedings of the 21st International Teletraffic Congress (ITC), Paris, France, 2009.
  1. (*) “Multi Hour Robust Routing and Fast Load Change Detection for Traffic Engineering”
    P. Casas, L. Fillatre, S. Vaton
    in Proceedings of the IEEE International Conference on Communications (ICC), Beijing, China, 2008.
  1. (*) “Robust and Reactive Traffic Engineering for Dynamic Traffic Demands”
    P. Casas, L. Fillatre, S. Vaton
    in Proceedings of the 4th EuroNGI Conference on Next Generation Internet Networks, Krakow, Poland, 2008.
    Best Paper Award
  1. “Optimal Volume Anomaly Detection in Network Traffic Flows”
    L. Fillatre, I. Nikiforov, P. Casas, S. Vaton
    in Proceedings of the 16th European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, 2008.
  1. (*) “End-2-End Evaluation of IP Multimedia Services, a User Perceived Quality of Service Approach”
    P. Casas, P. Belzarena, S. Vaton
    in Proceedings of the 18th ITC Specialist Seminar on Quality of Experience, Karlskrona, Sweden, 2008.
  1. (*) “Reliable Routing for the Next Generation Network”
    P. Casas, L. Fillatre, S. Vaton
    IEEE ComSoc International Workshop on Communications Quality and Reliability, Arizona, USA, 2008 (accepted but unpublished paper).
  1. “Sequential Non-Bayesian Network Traffic Flows Anomaly Detection and Isolation”
    L. Fillatre, I. Nikiforov, S. Vaton, P. Casas
    in Proceedings of 4th International Workshop on Applied Probability, Compiegne, France, 2008.
  1. (*) “An Adaptive Multi-Temporal Approach for Robust Routing”
    P. Casas, S. Vaton
    in Proceedings of the 2nd EuroNGI Workshop on IP QoS and Traffic Control, Lisbon, Portugal, 2007.
  1. “An Improved Model for GSM/GPRS/EDGE Performance Evaluation”
    P. Belzarena, P. Bermolen, P, Casas, A. Ferragut, F. Larroca, V. Meilan, J. Pereira, N. Pignataro, S. Nesmachnow, F. Robledo, B. Bazzano, C. Piana, A. Reyna
    in Proceedings of the 4th international IFIP/ACM Latin American conference on Networking, San José, Costa Rica, 2007.
    Best Paper Award
  1. (*) “A User Perspective for End-To-End Quality of Service Evaluation in Multimedia Networks”
    P. Casas, P. Belzarena, I. Irigaray, D. Guerra
    in Proceedings of the 4th international IFIP/ACM Latin American conference on Networking, San José, Costa Rica, 2007.
  1. (*) “User Perceived Quality of Service in Multimedia Networks: a Software Implementation”
    P. Casas, D. Guerra, I. Irigaray
    in Proceedings of 1st Regional Congress on Telecommunications, Montevideo, Uruguay, 2006.
  1. “METRONET: Software para Medición de Calidad de Servicio en Voz y Video”
    P. Belzarena, V. González Barbone, F. Larroca, P. Casas
    in Proceedings of Congreso Iberoamericano de Telemática (CITA), Monterrey, México, 2006.
  1. “Virtual Paths Networks Fast Performance Analysis”
    P. Belzarena, P. Bermolen, P. Casas, M. Simon
    in Proceedings of 2nd International Conference on Performance Modeling and Evaluation of Heterogeneous Networks, Ilkley, UK, 2004.


Projects

I am part of the following ongoing research projects:

  1. “DynAISEC: Adaptive AI/ML for Dynamic Cybersecurity Systems”
    Austrian Research Promotion Agency (FFG) project, call ICT of the Future (2022-2024).
    Project partners: AIT, University of Vienna, SBA Research, Cyan Security Group GmbH.
  1. “INTERACTIVE: Interactive Machine Learning for Industrial Data Science”
    Austrian Research Promotion Agency (FFG) project, call Production of the Future (2021-2023).
    Project partners: AIT, SIEMENS, STIWA Advanced Products, Hauser Kühlmöbel und Kältetechnik GmbH.

Previously I’ve been working in the following research projects and was involved in the following research actions:

  1. “AI/ML for Anomaly Detection”
    Industry-funded project (2021-2022).
  1. “WebAI: Web QoE Metrics for AI-based Encrypted Network Traffic Analysis”
    Industry-funded project (2019-2020).
  1. “Big-DAMA – Big Data Analytics for Network Traffic Monitoring and Analysis”
    Vienna Science and Technology Fund (WWTF) project (2016-2019).
    Project partners: AIT, TU Wien, Politecnico di Torino, CAIDA, Northwestern University, National Institute of Informatics.
  1. “ViCrypt: Video Quality Metrics for Encrypted Network Traffic”
    Industry-funded project (2017-2018).
  1. “Mobi-QoE: Monitoring and Analysis of Quality of Experience in Mobile Broadband Networks”
    H2020 project (2016-2018), part of H2020 MONROE project.
    Project partners: AIT, Tran-Gia Informationstechnik GmbH, University of Würzburg, MONROE.
  1. “QoE for Video Services”
    Industry-funded project (2016-2017).
  1. “ECOSSIAN – European COntrol System Security Incident Analysis Network”
    FP7 project (2014-2017), co-funded by the European Community.
    Project partners: AIT, Technikon, Airbus Defence and Space, Bord Gais Eireann, Fraunhofer, UNIBO, Cassidian Cybersecurity SAS, INOV, Infraestruturas de Portugal SA, VTT, ESPION, Airbus Group, Policia Judiciaria, Katholieke Universiteit Leuven, Bertin Technologies SAS, IFAK, Poste Italiane, Cassidian Cybersecurity GmbH, CESS.
  1. “mPlane – an Intelligent Measurement Plane for Future Network and Application Management”
    FP7 project (2012-2015), co-funded by the European Community.
    Project partners: FTW, Politecnico di Torino, NEC, Telefonica I+D, Institute Telecom, ETH, Telecom Italia, Alcatel-Lucent Bell Labs, University of Liege, EURECOM, University of Augsburg, Invitel, Netvisor, Fondazione Ugo Bordoni, SSB Progetti.
  1. “Advancing the Customer Experience (ACE 3.0)”
    COMET project (2012-2015).
    Project partners: FTW, Telekom Austria, A1 Telekom Austria, Vodafone Group Services Limited, Vodafone D2.
  1. “DEcentralized, cooperative, and privacy-preserving MONitoring for trustworthinesS (DEMONS)”
    FP7 project (2010-2013), co-funded by the European Community.
    Project partners: FTW, NEC Uk, Telefonica I+D, CNIT, Telecom Polska, France Telecom, Institute Telecom, ETH, Singular Logic, Invea-TECH, ICCS, Optenet, Kyos.
  1. “Advancing the Customer Experience (ACE 2.0)”
    COMET project (2010-2012).
    Project partners: FTW, Telekom Austria, A1 Telekom Austria, Kapsch CarrierCom, Vodafone Group Services Limited, Vodafone D2.
  1. “Monitoring, AnalysIs and TRaffic Engineering in heterogeneous networks (MAITRE)”
    STIC-AmSud project (2011-2013), co-funded by CNRS, Institut Télécom (France), ANII (Uruguay), and MINCYT (Argentina).
    Project partners: LAAS-CNRS, Télécom Bretagne, University of the Republic, University of Buenos Aires.
  1. “Data Traffic Monitoring and Analysis (TMA): theory, techniques, tools and applications for the future networks”
    COST Action IC0703 (2008-2012), funded by the EU COST Programme.
  1. “Experimental COgnitive Distributed Engine (ECODE)”
    FP7 project (2008-2011), co-funded by the European Community.
    Project partners: Alcatel-Lucent Belgium, Catholic University of Louvain, University of Liege, Interdisciplinary Institute for Broadband Technology, INRIA, University of Lancaster, LAAS-CNRS.
  1. “Anticipating the Network of the Future – From Theory to Design (Euro-NF Network of Excellence)”
    FP7 project (2008-2010), co-funded by the European Community.
  1. “Design and Engineering of the Next Generation Internet (Euro-FGI Network of Excellence)”
    FP7 project (2006-2008), co-funded by the European Community.
  1. “Overlay networks Security: Characterization, Analysis and Recovery (OSCAR)”
    ANR-RNTR French project (2005-2008).
    Project partners: Mitsubishi Electric, LAAS-CNRS, Physics lab of ENS, INRIA, Institut Télécom.
  1. “Modeling, Dimensioning, and Analisis of 3rd Generation Cellular Networks”
    Research Contract (2007-2008).
    Project partners: ANTEL (Main Telecom Service Provider in Uruguay), FING-UdelaR.
  1. “Performance Evaluation of the GSM/GPRS/EDGE Network of ANTEL”
    Research Contract (2006-2007).
    Project partners: ANTEL (Main Telecom Service Provider in Uruguay), FING-UdelaR.
  1. “End-to-End Network Metrology for Performance Evaluation of Internet Multimedia Services (METRONET II)”
    Research Project PDT 46/03 (2006-2008), co-funded by PDT-Uruguay (Technology Development Program). FING-UdelaR.
  1. “Dynamical Traffic Engineering: a Critical Analysis (DYNAM’IT)”
    Institut Télécom French project (2006).
    Project partners: Télécom Bretagne, INT Paris, France Télécom R&D, UTT Troyes, University of Technology of Helsinki, Royal Institute of Technology Stockolm, INRETS.
  1. “End-to-End Network Metrology for Performance Evaluation of Internet Multimedia Services (METRONET)”
    Research Project PDT 17/02 (2004-2006), co-funded by PDT-Uruguay (Technology Development Program). FING-UdelaR.
  1. “The Internet as a Convergent Network”
    ECOS-Sud project (2004-2006), co-funded by the French Ministries of Research, Education, and Foreign Affairs.
    Project partners: UdelaR (Uruguay), INRIA/IRISA, Institut Télécom, University of Paris V.


Awards

(XVI) Best Paper Award
P. Casas, S. Wassermann, N. Wehner, M. Seufert, J. Schüler, T. Hoßfeld
“Mobile Web and App QoE Monitoring for ISPs – from Encrypted Traffic to Speed Index through Machine Learning”
Presented by P. Casas at 13th IFIP Wireless and Mobile Networking Conference (WMNC) in Montreal, Canada, in October 2021 (virtual).

(XV) Best Paper Award Runner Up
S. Wassermann, P. Casas, M.Seufert, F. Wamser
“On the Analysis of YouTube QoE in Cellular Networks through in-Smartphone Measurements”
Presented by P. Casas at 12th IFIP Wireless and Mobile Networking Conference (WMNC) in Paris, France, in September 2019.

(XIV) Best Student Poster Award Runner Up
A. Morichetta, P. Casas
“Steps Towards Explainable AI (XAI) for Clustering: the Case of Unsupervised QoE Analysis for YouTube Encrypted Traffic”
Presented by A. Morichetta at 3rd Network Traffic Measurement and Analysis Conference (TMA) and TMA PhD School in Paris, France, in June 2019.

(XIII) Best Paper Award
M. Seufert, N. Wehner, P. Casas, F. Wamser
“A Fair Share for All: Novel Adaptation Logic for QoE Fairness of HTTP Adaptive Video Streaming”
Presented by M. Seufert at 14th IEEE International Conference on Network and Service Management (CNSM) in Rome, Italy, in November 2018.

(XII) 2nd Place SRC Undergraduate Competition
G. Marín, P. Casas, G. Capdehourat
“RawPower: Deep-Learning-based Anomaly Detection from Raw Network Traffic Measurements”
Presented by G. Marín at ACM SIGCOMM 2018 Posters, Demos, and Student Research Competition (SRC) in Budapest, Hungary, in August 2018.

(XI) Best Demo Award
F. Wamser, N. Wehner, M. Seufert, P. Casas, P. Tran-Gia
“YouTube QoE Monitoring with YoMoApp: A Web-based Data Interface for Researchers”
Presented by F. Wamser at 2nd Network Traffic Measurement and Analysis Conference (TMA) in Vienna, Austria, in June 2018.

(X) Best Paper Award Runner Up
P. Casas, S. Wassermann
“Improving QoE Prediction in Mobile Video through Machine Learning”
Presented by J. Schormans at 8th International Conference on Network of the Future (NoF) in London, UK, in November 2017.

(IX) Finalist App Competitor
F. Wamser, M. Seufert, P. Casas, R. Irmer, R. Schatz, P. Tran-Gia
“YoMoApp: a Mobile App for Crowdsourced Analysis of YouTube QoE in Mobile Networks”
Presented by P. Casas at 4th ACM MOBICOM Mobile App Competition in New York, USA, in October 2016.

(VIII) Best Workshop Award
P. Casas, C. Callegari, S. Vaton
“6th International Workshop on TRaffic Analysis and Characterization”
Co-located with the 11th International Wireless Communications & Mobile Computing Conference in Dubrovnik, Croatia, in August 2015.

(VII) Best Paper Award Runner Up
P. Casas, P. Fiadino, A. Sackl, A. D’Alconzo
“YouTube in the Move: Understanding the Performance of YouTube in Cellular Networks”
Presented by P. Casas at IFIP Wireless Days Conference in Rio de Janeiro, Brazil, in November 2014.

(VI) Best Paper Award
P. Casas, P. Fiadino, A. Bär
“IP Mining: Extracting Knowledge from the Dynamics of the Internet Addressing Space”
Presented by P. Casas at ITC 25: 25th International Teletraffic Congress in Shanghai, China, in September 2013.

(V) Best Paper Award
R. Schatz, T. Hoßfeld, P. Casas
“Passive YouTube QoE Monitoring for ISPs”
Presented by P. Casas at FingNET’12: 2nd International Workshop on Future Internet and Next Generation Networks in Palermo, Italy, in July 2012.

(IV) Best Paper Award
J. Mazel, P. Casas, Y. Labit, P. Owezarski
“Sub-Space Clustering, Inter-Clustering Results Association & Anomaly Correlation for
Unsupervised Network Anomaly Detection”
Presented by J. Mazel at CNSM’11: 7th International Conference on Network and Service Management in Paris, France, in October 2011.

(III) Best Paper Award
P. Casas, F. Larroca, S. Vaton
“Robust Routing Mechanisms for Intradomain Traffic Engineering in Dynamic Networks”
Presented by P. Casas at IEEE/IFIP LANOMS’09: 6th Latin-American Network Operations and Management Symposium in Punta Del Este, Uruguay, in October 2009.

(II) Best Paper Award
P. Casas, L. Fillatre, S. Vaton
“Robust and Reactive Traffic Engineering for Dynamic Traffic Demands”
Presented by P. Casas at NGI’08: 4th EuroNGI Conference on Next Generation Internet Networks in Krakow, Poland, in April 2008.

(I) Best Paper Award
P. Belzarena, P. Bermolen, P. Casas, A. Ferragut, F. Larroca, V. Meilan, J. Pereira, N. Pignataro, S. Nesmachnow, F. Robledo, B. Bazzano, C. Piana, A. Reyna
“An Improved Model for GSM/GPRS/EDGE Performance Evaluation”
Presented by P. Belzarena at IFIP/ACM LANC’07: Latin America Networking Conference in San José, Costa Rica, in October 2007.

PhD Scholarship (2006-2009) – CARNOT French Program – Groupe des Ecoles des Télécommunications (Institut Télécom)
“Statistical Analysis of Network Traffic for Anomaly Detection”


Thesis

“Statistical Analysis of Network Traffic for Anomaly Detection and Quality of Service Provisioning”
Pedro Casas, “Docteur de Télécom Bretagne” – Ph.D. in Computer Science, 2010 (Ph.D. in Electrical Engineering @UdelaR, 2013)
Thesis Directors: Gerardo Rubino (INRIA-IRISA), Sandrine Vaton (Télécom Bretagne)
Thesis Jury: Fabrice Guillemin – France Télécom R&D (reviewer), Steve Uhlig – Technische Universitat Berlin (reviewer),
Stefano Giordano – University of Pisa, Pablo Belzarena – Universidad de la República, Hervé Kerivin – Clemson University

“Perceived Quality of Service in Voice and Video over IP Services”
Pedro Casas, Diego Guerra, Ignacio Irigaray – Electrical Engineering Degree, 2005
Thesis Director: Pablo Belzarena (IIE-FING-UdelaR)


Teaching & Supervision

Postdocs, PhD students and Internships under my supervision:

  1. Lucas Torrealba
    Research Intern at AIT – Visiting period: June 2022 – December 2022
    MSc/PhD student (Universidad de Chile, Chile)
    Internship Subject: “Detection of Malicious Website Domains used for Phishing”
  1. Gastón García
    Research Intern at AIT – Visiting period: February 2022 – August 2022
    Co-supervised PhD student, together with Prof. Alicia Fernández (Universidad de la República, Uruguay)
    Internship Subject: “Continual Learning Challenges for Network Anomaly Detection”

    Research Intern at AIT/Co-supervised Master Student – Visiting period: March 2020 – June 2020
    Internship Subject: “Generative Models for Anomaly Detection in Multivariate Time-series”
    Gastón is now PhD Student at the Universidad de la República, Uruguay

  1. Martín Randall
    Research Intern at AIT – Visiting period: February 2022 – August 2022
    PhD student (Universidad de la República, Uruguay)
    Internship Subject: “Graph Neural Networks for Network Provisioning in 5G”
  1. Luis Jiménez
    PhD Intern at AIT – Visiting period: Janaury – April 2021
    Internship Subject: “Unsupervised Learning for Web QoE Analysis”
    Luis is now finalizing his PhD at the University of Málaga, Spain
  1. Michael Seufert
    Postdoc at AIT – Visiting period: March 2018 – February 2019
    Postdoc Subject: “Machine Learning for Internet QoE Analysis”
    Michael is now scientist at University of Würzbur
  1. Pierdomenico Fiadino
    Thesis Subject: “Traffic Characterization, Anomaly Detection and Diagnosis in Internet Scale Services”
    PhD Thesis Defended in December 2015 (co-advised by Prof. Tanja Zseby, TU Wien)
    Piero is now Data Science Manager at Typeform in Barcelona, Spain
  1. Arian Bär
    Thesis Subject: “Concurrent Large-Scale Network Data Analysis in High-Speed Mobile Networks”
    PhD Thesis Defended in June 2015 (co-advised by Prof. Erich Schikuta, University of Vienna)
    Arian is now Big Data Architect at BMW Group in Munich, Germany
  1. Sarah Wassermann
    Thesis Subject: “Machine Learning for Network Traffic Monitoring and Analysis – Application to Internet QoE Assessment and Network Security”
    PhD Thesis Defended in May 2022 (co-advised by Prof. Tanja Zseby, TU Wien)

    Research Intern at AIT – Visiting period: March 2017
    Internship Subject: “Mobile Malware Detection using Machine Learning and Big-Data Analytics”

    Research Intern at FTW – Visiting period: July – August 2015
    Internship Subject: “Tracking the Performance of CDN Servers-to-Customers Internet Paths with Distributed Active Measurements”

  1. Andrea Morichetta
    Research Intern at AIT – Visiting period: January – June 2019
    Internship Subject: “Explainable AI for Unsupervised Learning”
    Andrea is concluding his PhD Thesis at Politecnico di Torino in Turin, Italy (now postdoc at the University of Vienna)
  1. Juan Vanerio
    Research Intern at AIT – Visiting period: January – March 2017
    Internship Subject: “Big Data Analytics and Platforms for Network Monitoring and Analysis”
    Juan is now Research Assistant at IIE-FING, Universidad de la República in Montevideo, Uruguay, and ANTEL (ISP) NOC team member (now PhD student at the University of Vienna)
  1. Francesca Soro
    Research Intern at AIT – Visiting period: April – September 2017
    Internship Subject: “Big Data Analytics for Network Traffic Monitoring and Analysis”
    Francesca is now PhD Student at Politecnico di Torino in Turin, Italy (now Scientist at AIT)
  1. Gonzalo Marín
    Research Intern at AIT/Co-supervised Master Student – Visiting period: April – September 2018
    Internship Subject: “Deep Learning for Detection of Network Attacks Using Raw Representations”
    Gonzalo is now Senior Researcher at Tryolabs in Montevideo, Uruguay
  1. Pavol Mulinka
    Research Intern at AIT – Visiting period: March – August 2018
    Internship Subject: “Adaptive Network Security through Stream Machine Learning”
    Pavol is now Visiting Research Fellow at the National Institute of Informatics in Tokyo, Japan (now Researcher at CTTC Barcelona)
  1. Nikolas Wehner
    Research Intern at AIT – Visiting period: March – August 2018
    Internship Subject: “Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones”
    Niko is now Research Engineer at AIT in Vienna, Austria (now PhD student at the University of Würzburg)
  1. Sami Ben Mariem
    Research Intern at AIT – Visiting period: July – August 2018
    Internship Subject: “Vivisecting Blockchain P2P Networks – Unveiling the Bitcoin IP Network”
    Sami is concluding his Master Thesis at the University of Liège, Belgium (now PhD student)

I have been reviewer/jury member for the following PhD and Master thesis:

Luigi Gallo
Thesis Subject: “A Machine and Human Learning Approach for Phishing Defense in a Large Company”
PhD Thesis to be Defended in August 2022
Advisors: Prof. Alessio Botta (University of Naples Federico II, Italy)
Role: Reviewer

Flavia Salutari
Thesis Subject: “Longitudinal, Large-scale and Unbiased Internet Measurements: the Users, the Web, the Models”
PhD Thesis Defended in September 2021
Advisors: Prof. Mauro Sozio, Dr. Dario Rossi (Institut Polytechnique de Paris and Huawei Labs, France)
Role: Reviewer

Othmane Belmoukadam
Thesis Subject: “QoE-aware Content Management in the Internet: Caching and Transport”
PhD Thesis Defended in September 2021
Advisors: Dr. Chadi Barakat (INRIA, France)
Role: Jury Member

Alemnew Sheferaw Asrese
Thesis Subject: “Web Quality of Experience Measurement: Metrics, Methods and Tools”
PhD Thesis Defended in July 2021
Advisor: Prof. Jörg Ott (Aalto University, Finland)
Role: Reviewer

Vincent Jacquot
Thesis Subject: “Bitcoin Clustering, A CoinJoin Discarding Heuristic”
Master Thesis Defended in January 2021
Advisor: Prof. Benoit Donnet (University of Liège, Belgium)
Role: Jury Member

Gastón García
Thesis Subject: “Generative Models for Network Anomaly Detection in Multivariate Time-Series”
Master Thesis Defended in September 2020
Advisor: Prof. Alicia Fernández (Universidad de la República, Uruguay)
Role: Jury Member

José Rafael Suárez-Varela Maciá
Thesis Subject: “Enabling Knowledge-Defined Networks: Deep Reinforcement Learning, Graph Neural Networks and Network Analytics”
PhD Thesis Defended in June 2020
Advisors: Prof. Pere Barlet-Ros, Prof. Albert Cabellos Aparicio (UPC Barcelona, Spain)
Role: Reviewer

Antoine Saverimoutou
Thesis Subject: “Future Internet Metrology: Characterization, Quantification and Prediction of Web browsing Quality”
PhD Thesis Defended in May 2020
Advisors: Prof. Sandrine Vaton, Dr. Bertrand Matthieu (IMT Atlantique and Orange Labs, France)
Role: Jury Member

Gilles Roudière
Thesis Subject: “Detection of Network Attacks over Internet Access Devices”
PhD Thesis Defended in September 2018
Advisor: Dr. Philippe Owezarski (LAAS-CNRS, France)
Role: Jury Member

Giorgos Dimopoulos
Thesis Subject: “Identifying and Diagnosing Video Streaming Performance Issues”
PhD Thesis Defended in November 2017
Advisors: Prof. Pere Barlet-Ros, Dr. Ilias Leontiadis (UPC Barcelona and Telefonica Research, Spain)
Role: Reviewer

Danilo Giordano
Thesis Subject: “Machine Learning and Big Data Methodologies for Network Traffic Monitoring”
PhD Thesis Defense in April 2017
Advisor: Prof. Marco Mellia (Politecnico di Torino, Italy)
Role: Reviewer

Juan Pablo Garella
Thesis Subject: “Perceived Video Quality Modeling in DTV”
Master Thesis Defended in December 2016
Advisor: Dr. José Joskowicz (Universidad de la República, Uruguay)
Role: Jury Member

Valentín Carela-Español
Thesis Subject: “Network Traffic Classification: from Theory to Practice”
PhD Thesis Defended in October 2014
Advisor: Dr. Pere Barlet-Ros (UPC Barcelona, Spain)
Role: Jury Member

Christian Alonso Vega Cervantes
Thesis Subject: “A System for Detection of Sinkhole Attacks over 6LoWPAN for IoT”
Master Thesis Defended in August 2014
Advisor: Prof. Michele Nogueira (Federal University of Minas Gerais, Brazil)
Role: Reviewer

I have participated in the following PhD schools, tutorials and specialized courses:

DEEP in the NET – Deep Learning for Network Monitoring and Analysis
PhD Course, 10th TMA PhD School, the Netherlands 2022.
    1 – Introduction to Deep Learning for TMA
    2 – Deep Learning Basics
    3 – Introduction to Graph Neural Networks

AI4NETS – AI/ML for data communication Networks
Tutorial, 38th IFIP Performance Conference, Italy 2020.
    1 – Introduction to AI4NETS
    2 – Shallow Learning
    3 – Deep Learning
    4 – Big Data Howto
    5 – Other Learning Topics

AI4NETS – AI/ML for Data Communication Networks
Master/PhD/Professional Course, DET-IIE FING, Uruguay 2019.

Can a Network Learn? Machine Learning Methodologies and Applications for Next Generation Networking
PhD Course, J. T. Schwartz International School for Scientific Research, Italy 2019.

Big Data and Machine Learning for Network Monitoring and Analysis
PhD Course, ACM International Conference on Distributed and Event-Based Systems, DEBS 2019 Summer School, Germany, 2019.

Network Traffic Monitoring: Big Data Platforms, Analysis and Applications
Master/PhD/Professional Course, DET-IIE FING, Uruguay 2016.

Network Traffic Monitoring, Characterization and Analysis in the Internet of Contents
Master/PhD/Professional Course, DET-IIE FING, Uruguay 2014, 2015.

An Introduction to Machine Learning in QoE
PhD Course, 2nd Qualinet PhD Summer School, Greece 2013.

On the use of Clustering Algorithms for Unsupervised Traffic Monitoring and Analysis
Tutorial at the 8th International Conference on Network and Service Management, USA 2012.

Understanding Network Traffic: an Introduction to Machine Learning in Networking
PhD Course, 3rd TMA PhD School, Poland 2012.

Statistical Methods for the Origin Destination Traffic Matrix Problem
PhD Course at the University of Pisa, Italy 2010.

I have participated in the following graduate and undergraduate courses:

Performance Evaluation in Telecommunication Networks
Graduate courses, IIE-FING, Uruguay 2003-2008.

Software Engineering
Undergraduate courses, IIE-FING, Uruguay 2004-2007.

Queuing Systems
Undergraduate courses, Télécom Bretagne, France 2006 & 2008.

General Physics (Mechanics, Electromagnetism, Physics Labs)
Undergraduate courses, IIE-FING, Uruguay 2001-2004.


Invited Expert Talks

  1. DEEP in the NET: Deep Learning for Network Monitoring and Analysis
    10th TMA PhD School on Network Intelligence and Measurements
    June 2022, Enschede, The Netherlands
  1. If You Don’t See It, You Can’t Improve It – Deepening Network Visibility through AI/ML
    HUAWEI Experts Workshop – “AI-Native Networks”
    January 2022, Virtual
  1. AI4SEC: Tackling Cybersecurity through AI/ML
    Keynote at NetSys 2021 – “Machine Learning in Networking” (MaLeNe) Workshop
    September 2021, Lübeck, Germany
  1. AI4SEC: Enhancing Cybersecurity through AI/ML
    Forum Numerica – Academy of Excellence “Networks, Information and Digital Society”
    September 2021, Sophia Antipolis, France
  1. AI4NETS: AI/ML for Data Communication Networks
    Tutorial at IFIP Performance 2020 Conference
    November 2020, Milano, Italy
  1. Videoconferencing, Video Streaming, and What you Need from the Network to Enable User Experience
    Huawei Intelligent Collaboration Workshop 2020
    November 2020, Dublin, Ireland
  1. AI4NETS: AI/ML for Data Communication Networks
    Complexity Science Hub (CSH) Workshop on Bringing Intelligence to Networked Embedded Devices
    February 2020, Vienna, Austria
  1. AI4NETS: AI/ML for Data Communication Networks
    NETWORK INTELLIGENCE – The Future of Networking (NET-IT) Seminar
    October 2019, Vienna, Austria
  1. AI4ISPs: Enhancing QoE Visibility and End-User Security through Adaptive AI
    Huawei Network World-Data Communication Technology Forum
    August 2019, Beijing, China
  1. AI4NETS: AI for Network Monitoring and Analysis Challenges
    Lipari School on Network and Computer Sciences
    July 2019, Lipari, Italy
  1. Continual Learning over Network Streaming Data: What to Remember and What to Forget?
    ACM DEBS Summer School
    June 2019, Darmstadt, Germany
  1. QoE Visibility in an Encrypted Internet – AI to the Rescue
    Huawei Network AI Workshop 2019
    April 2019, Paris, France
  1. Big Data Analytics and Machine Learning for Network Monitoring
    University of Vienna – Communication Technologies Tech Talks
    October 2018, Vienna, Austria
  1. Machine Learning and Big Data Analytics for Enhanced Network Security
    Huawei Security Technology SAB Summit 2018
    July 2018, Munich, Germany
  1. Big Data Analytics and Machine Learning for Network Monitoring
    MAKI Scientific Workshop 2018 – Machine Learning for Communication Systems
    March 2018, Darmstadt, Germany
  1. Machine Learning Models for Network Analytics
    DARLI-AP Workshop 2018 – Data Analytics Solutions for Real-LIfe APplications
    March 2018, Vienna, Austria
  1. Why my OTT Service is not Working? QoE-aware Anomaly Detection and Fault Bounding in Video Distribution Services
    HUAWEI HQs – Huawei Strategy and Technology Workshop 2017
    May 2017, Shenzhen, China
  1. Steps Towards Autonomous Cyber Security: a Case Study on Self Network Defense using Machine Learning
    RACVIAC – Centre for Security Cooperation, Advanced Training Course in Cyber Security
    October 2016, Zagreb, Croatia
  1. Understanding QoE in Cellular Networks: from Lab Studies to Measurements in the Field
    ETSI Workshop on Telecommunication Quality beyond 2015
    October 2015, Vienna, Austria
  1. Traffic, Performance and Big Data: Follow the Leader
    Panelist at 27th International Teletraffic Congress
    September 2015, Guent, Belgium
  1. How Much do I Need from the Network?
    International Conference on Quality of Telecommunication Services
    October 2014, Warsaw, Poland
  1. Quality of Experience in Mobile Networks: Why, What and How?
    17th Mobile Network Optimization 2014
    September 2014, London, UK
  1. Building an Intelligent Measurement Plane for the Internet
    5th International Workshop on Traffic Analysis and Characterization
    August 2014, Nicosia, Cyprus
  1. mPlane: an Intelligent Measurement Plane for the Internet
    Cyber Security & Privacy EU Forum
    April 2013, Brussels, Belgium


This page was last modified in September 2022