Plenary Speakers
Tina Eliassi-Rad
Northeastern University
- Title: ...
- Abstract: ...
- Bio: Tina Eliassi-Rad is a Professor of Computer Science and The Inaugural Joseph E. Aoun Chair at Northeastern University. She is also a core faculty member at Northeastern's Network Science Institute. In addition, she is an external faculty member at the Santa Fe Institute and the Vermont Complex Systems Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that she was a member of technical staff and principal investigator at Lawrence Livermore National Laboratory. Tina earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison. Her research is at the intersection of data mining, machine learning, and network science. She has over 150 peer-reviewed publications (including a few best paper and best paper runner-up awards); and has given over 300 invited talks and 14 tutorials. Tina's work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, cyber situational awareness, drug discovery, democracy and online discourse, and ethics in machine learning. Her algorithms have been incorporated into systems used by governments and industry (e.g., IBM System G Graph Analytics), as well as open-source software (e.g., Stanford Network Analysis Project). Tina received an Outstanding Mentor Award from the U.S. Department of Energy's Office of Science in 2010, became an ISI Foundation Fellow in 2019, was named one of the 100 Brilliant Women in AI Ethics in 2021, received Northeastern University's Excellence in Research and Creative Activity Award in 2022, was awarded the Lagrange Prize in 2023, and was elected Fellow of the Network Science Society in 2023.
- Web page: https://eliassi.org/
Przemysław Kazienko
Wroclaw University of Science and Technology
- Title: ...
- Abstract: ...
- Bio: Przemysław (Przemek) Kazienko, Ph.D. is a full professor and leader of three research groups: Impact AI (AI impact on humans, social influence), HumaNLP (human-centred NLP, LLMs), and Emognition (affective computing, fundamental models for physiological signals) at Wroclaw Tech (Wroclaw University of Science and Technology), Poland. He has authored over 300 research papers, including 60+ in journals with impact factor related to social/complex network analysis, complex networks, personalization and subjective tasks in NLP, Large Language Models (LLMs), self-learning LLMs, hallucination, ethics and responsibility in AI, affective computing and emotion recognition, deep machine learning, sentiment analysis, collaborative systems, recommender systems, information retrieval, data security, and many others. He delivered over 40 keynote and invited talks to international audiences and served as co-chair for more than 20 international scientific conferences and workshops. He initiated and led over 50 projects, including large European ones, primarily in collaboration with companies with a total local budget exceeding €10M. He is an IEEE Senior Member, a member of the Polish Committee for Standardization in AI, and the Ethics Committee for the LLM development. He has been on the board of Network Science Society for several years.
- Web page: https://kazienko.eu/en
Renaud Lambiotte
University of Oxford
- Title: ...
- Abstract: ...
- Bio: Renaud Lambiotte has a PhD in Physics from the Université Libre de Bruxelles. Following postdocs at ENS Lyon, Université de Liège, UCLouvain and Imperial College London, and a Professorship in Mathematics at the University of Namur, he is currently Professor of Networks and Nonlinear Systems at the Mathematical Institute of Oxford University. His main research interests are the modelling and analysis of large networks, with a particular focus on clustering and temporal networks, and applications in social and neuronal systems. He is Associate Editor for Science Advances, an INET Fellow, External Faculty at the Complexity Hub in Vienna and Teaching Fellow at Somerville College.
- Web page: https://www.maths.ox.ac.uk/people/renaud.lambiotte
Cristopher Moore
Santa Fe Institute
- Title: ...
- Abstract: ...
- Bio: Cristopher Moore received his B.A. in Physics, Mathematics, and Integrated Science from Northwestern University, and his Ph.D. in Physics from Cornell. From 2000 to 2012 he was a professor at the University of New Mexico, with joint appointments in Computer Science and Physics. Since 2012, Moore has been a resident professor at the Santa Fe Institute. He has also held visiting positions at the Niels Bohr Institute, École Normale Superieure, École Polytechnique, Université Paris 7, Northeastern University, the University of Michigan, and Microsoft Research. Moore has written over 170 papers at the boundary between mathematics, physics, and computer science, ranging from quantum computing, social networks, and phase transitions in NP-complete problems and Bayesian inference, to risk assessment in criminal justice. He is an elected Fellow of the American Physical Society, the American Mathematical Society, and the American Association for the Advancement of Science. With Stephan Mertens, he is the author of The Nature of Computation from Oxford University Press.
- Web page: https://sites.santafe.edu/~moore/
Clara Stegehuis
University of Twente
- Title: ...
- Abstract: ...
- Bio: Clara Stegehuis is an associate professor in applied mathematics at the University of Twente. She works at the intersection of probability theory, optimization and stochastic networks. She works on random graph models for various real-world problems related to for example epidemic spreading, network motifs, chemical reactions and cellular networks. Besides her mathematical work, she has a passion for science communication. She often presents the fascinating aspects of mathematics or networks at various places, from music festivals to primary schools.
- Web page: https://www.clarastegehuis.nl/