Marco Mellia

Marco Mellia's picture

Full Professor (L. 240)
Department of Control and Computer Engineering (DAUIN)

  • Member Academic Senate
  • Referente Artificial Intelligence Data Science and Computing - Progetto Referenti del Politecnico di Torino su attività a supporto dei rapporti con enti governativi territoriali, nazionali ed europei
  • Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory
  • Permament guest Doctoral School Board
  • Partnership Agreement Coordinator with HUAWEI

Profile

Research interests

Artificial intelligence
Big data
Computer networks
Cybersecurity
Machine learning

Biography

Marco Mellia graduated with PhD in Electronic and Telecommunication Engineering in 2001. He is a full professor at Politecnico di Torino, Italy, where he coordinates the SmartData@PoliTO centre on Big Data, Machine Learning and Data Science. In 2002 he visited the Sprint Advanced Technology Laboratories in Burlingame, CA, working at the IP Monitoring Project (IPMON). In 2011, 2012, and 2013, he collaborated with Narus Inc in Sunnyvale, CA, working on traffic monitoring and cyber-security system design. In 2015 and 2016 he visited Cisco Systems in San Jose, CA, working on cloud monitoring platforms. Prof. Mellia has co-authored over 250 papers published in international journals and presented at leading conferences, all of them in the area of communication networks. He holds 13 patents. He won the IRTF ANR Prize at IETF-88, and the best paper awards at IEEE P2P'12, ACM CoNEXT'13, and IEEE ICDCS'15. He participated in the program committees of several conferences, including ACM SIGCOMM, ACM CoNEXT, ACM IMC, IEEE Infocom, IEEE Globecom and IEEE ICC. He has been Area Editor of ACM CCR, IEEE Transactions on Network and Service Management and Elsevier Computer Networks. He is Editor in Chief of the Proceedings of the ACM on Networking. He is Fellow of IEEE. His research interests are in the area of Internet monitoring, users' characterization, cybersecurity, data science and machine learning applied to different areas.

Scientific branch

IINF-05/A - Information Processing Systems
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

PE6_7 - Artificial intelligence, intelligent systems, multi agent systems
PE7_8 - Networks, e.g. communication networks and nodes, Internet of Things, sensor networks, networks of robots

SDG

Goal 7: Affordable and clean energy
Goal 9: Industry, Innovation, and Infrastructure
Goal 11: Sustainable cities and communities
Goal 12: Responsible consumption and production

Awards and Honors

  • BEST PAPER AWARD conferred by IEEE P2P 2012, United States (2012)
  • ACM CoNEXT Best Short Paper Award conferred by ACM CoNEXT - International Conference on emerging Networking EXperiments and Technologies, United States (2013)
  • Applied Networking Research Prize conferred by Internet Research Task Force (IRTF), United States (2013)
  • Best Paper Award IEEE International Conference on Distributed Computing Systems conferred by IEEE, United States (2015)

Fellowships

  • Fellow - IEEE, Stati Uniti (2020-2100)
    IEEE Fellow

Editorial boards

  • THE PROCEEDINGS OF THE ACM ON NETWORKING (2023), Director
  • COMPUTER NETWORKS (2019-2023), Associate Editor of magazine or editorial series
  • IEEE-ACM TRANSACTIONS ON NETWORKING (2014-2018), Associate Editor of magazine or editorial series
  • IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2014-2023), Associate Editor of magazine or editorial series
  • COMPUTER COMMUNICATION REVIEW (2012-2018), Director

Management or scientific roles in Research Institutes

  • Politecnico di TORINO - Politecnico di TORINO (2017-), Coordinatore del centro Interdipartimentale SmartData@PoliTO

Conferences

  • Performance 2021, Participation to the organizing committee
  • Performance 2020, Participation to the organizing committee
  • ACM SIGCOMM 2020 Workshop on Network Meets AI & ML (NetAI 2020), Program committee
  • ACM CoNEXT, Steering commitee
  • ACM SIGCOMM 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks (Big-DAMA 2018), Program chair
  • IEEE Network Traffic Measurement and Analysis Conference (TMA 2017), Program chair
  • ACM SIGCOMM 2017 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks (Big-DAMA 2017), Program chair
  • ACM CoNEXT (1/1/2017-15/12/2017), Program chair
  • IEEE Infocom - Demo and Poster Chair, Program chair
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Other research or teaching roles outside Politecnico

  • Visiting Researcher, presso Universidade Federal de Minas Gerais (UFMG) (15/6/2019-31/7/2019)
  • Visiting Researcher, presso Narus, Inc. (14/6/2012-15/8/2014)
  • Visiting Researcher, presso Narus, Inc. (7/7/2011-8/9/2011)

Non-commercial collaboration agreements

Teaching

Collegi of the PhD programmes

  • INGEGNERIA INFORMATICA E DEI SISTEMI, 2024/2025 (40. ciclo)
    Politecnico di TORINO
  • INGEGNERIA INFORMATICA E DEI SISTEMI, 2023/2024 (39. ciclo)
    Politecnico di TORINO
  • INGEGNERIA INFORMATICA E DEI SISTEMI, 2022/2023 (38. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2021/2022 (37. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2020/2021 (36. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2019/2020 (35. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2018/2019 (34. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2017/2018 (33. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2016/2017 (32. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2015/2016 (31. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2014/2015 (30. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRONICA, 2013/2014 (29. ciclo)
    Politecnico di TORINO
MostraNascondi collegi passati

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research fields

Research groups

Research projects

Projects funded by competitive calls

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Projects funded by commercial contracts

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Supervised PhD students

  • Andrea Sordello. Programme in Ingegneria Informatica E Dei Sistemi (40th cycle, 2024-in progress)
    Research subject: Protect-IT – Distributed platform for cybersecurity data collection and analysis
    Cybersecurity
    Data science, Computer vision and AI
    Parallel and distributed systems, Quantum computing
    Cybersecurity
    Data science, Computer vision and AI
    Parallel and distributed systems, Quantum computing
  • Alberto Verna. Programme in Ingegneria Informatica E Dei Sistemi (40th cycle, 2024-in progress)
    Research subject: Privacy on the Internet: measurements and novel approaches
    Cybersecurity
    Data science, Computer vision and AI
    Cybersecurity
    Data science, Computer vision and AI
  • Yuqi Zhao. Programme in Ingegneria Informatica E Dei Sistemi (40th cycle, 2024-in progress)
    Research subject: Continuous Machine Learning for Cybersecurity
    Cybersecurity
    Data science, Computer vision and AI
    Cybersecurity
    Data science, Computer vision and AI
  • Kai Huang. Programme in Ingegneria Informatica E Dei Sistemi (39th cycle, 2023-in progress)
    Research subject: Automatic identification of cyberthreats via distributed darknets and honeypots
    Cybersecurity
    Data science, Computer vision and AI
    Cybersecurity
    Data science, Computer vision and AI
  • Giordano Paoletti. Programme in Ingegneria Informatica E Dei Sistemi (39th cycle, 2023-in progress)
    Research subject: Analyzing Online Social Networks: Implications for Cybersecurity and Misinformation
    Cybersecurity
    Data science, Computer vision and AI
    Cybersecurity
    Data science, Computer vision and AI
  • Francesco De Santis. Programme in Ingegneria Informatica E Dei Sistemi (38th cycle, 2023-in progress)
    Research subject: The decision-making process followed by machine learning models is often unobservable. For this reason, it is essential to develop methodologies that make this process more transparent.
    Data science, Computer vision and AI
    Data science, Computer vision and AI
  • Tailai Song. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th cycle, 2022-in progress)
    Research subject: Machine learning for real-time communication.
    Big Data, Machine Learning, Neural Networks and Data Science
    Communication and Computer Networks
    Modeling, simulation and CAD
    Big Data, Machine Learning, Neural Networks and Data Science
    Communication and Computer Networks
    Modeling, simulation and CAD
  • Matteo Boffa. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (37th cycle, 2021-2025)
    Thesis: Language Models and Cybersecurity - Applications and Current Limits
  • Luca Gioacchini. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (37th cycle, 2021-2025)
    Thesis: Unleashing the Power of AI to Automate Cybersecurity
  • Nikhil Jha. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-2024)
    Thesis: Privacy on the Web: Algorithms, Tools and Measurements
    Big Data, Machine Learning, Neural Networks and Data Science
    Big Data, Machine Learning, Neural Networks and Data Science
  • Rodolfo Vieira Valentim. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-2024)
    Thesis: Generative Approaches to Sound-Squatting: AI Tools and Validation
    Big Data, Machine Learning, Neural Networks and Data Science
    Communication and Computer Networks
    Big Data, Machine Learning, Neural Networks and Data Science
    Communication and Computer Networks
  • Thomas Favale. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (35th cycle, 2019-2023)
    Thesis: Strengthening Privacy and Cybersecurity through Anonymization and Big Data
    Big Data, Machine Learning, Neural Networks and Data Science
    Communication and Computer Networks
    Big Data, Machine Learning, Neural Networks and Data Science
    Communication and Computer Networks
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Publications

Last years publications

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Society and Enterprise

Patents and other intellectual properties