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PROFESSORS IN SOCIAL NETWORK ANALYSIS

Showing page 1 of 1 — 11 professors available publicly

Jure Leskovec

Jure Leskovec

Graph Neural Networks PyTorch Geometric (PyG) Computational Biomedicine for Drug Discovery

Jure Leskovec is Professor of Computer Science at Stanford University. He is affiliated with the Stanford AI Lab, Machine Learning Group, and the Center for Research on Foundation Models. In the past, he served as a Chief Scientist at Pinterest and was an investigator at Chan Zuc...

Michail Faloutsos

Michail Faloutsos

Internet Protocols Measurement Peer-to-Peer Networks Social Network Analysis

Michalis Faloutsos's research interests include internet protocols and measurements, peer-to-peer networks, social networks, network security, and ad-hoc networks.

Osmar Zaiane

Osmar Zaiane

Web Mining Multimedia Data Mining Social Network Analysis

Osmar R. Zaïane is a Professor in Computing Science at the University of Alberta, Canada, a Canada CIFAR AI Chair, and a fellow with the Alberta Machine Intelligence Institute (Amii). Dr. Zaiane is also a Fellow of the Canadian Academy of Engineering. He is the former Scientific...

Ian Davidson

Ian Davidson

machine learning algorithm development data mining algorithms intelligent tutoring systems

Welcome! I am a Professor in the computer science department working on AI, machine learning and data mining algorithm development. With domain expert collaborators I work on applications of my work to areas with societal impacts such as neuroscience, intelligent tutoring systems...

Tim Althoff

Tim Althoff

Natural Language Processing (NLP) Social Network Analysis Large-Scale Behavioral Data Analysis

Tim Althoff is an associate professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. His research advances computational methods that leverage large-scale behavioral data to extract actionable insights about our lives, health and ha...

Carlotta Domeniconi

Carlotta Domeniconi

text mining social network analysis financial data mining

Carlotta Domeniconi has taught at George Mason University since 2002. Domeniconi's research interests include machine learning, data mining, classification, clustering, and big data, with applications in text mining, social network analysis, financial data mining, and learning an...

Bjorn Ross

Bjorn Ross

Natural Language Processing (NLP) Social Media Misinformation Analysis Malicious Automation Detection (Bots)

I am Reader (Associate Professor) in Computational Social Science at the University of Edinburgh School of Informatics. In my research, I develop and use computational methods from natural language processing and artificial intelligence, social network analysis and agent-based mo...

Armin Mikler

Armin Mikler

Computational Epidemiology Bio-Emergency Response Plan Design Social Network Analysis

Dr. Armin R. Mikler grew up in Germany, where he completed vocational training in electromechanics and electronics. After working in the industry as an electronics technician, he continued his schooling, pursuing a degree in informatics from the University of Applied Sciences in ...

Halil Bisgin

Halil Bisgin

Topic Extraction in Tobacco Documents Patient Narrative Data Mining Social Network Analysis

I am an Professor of Computer Science in the College of Innovation & Technology at the University of Michigan-Flint (UMF). I received my Ph.D. from the University of Arkansas at Little Rock (UALR) where I also taught and served as a graduate committee member. Before joining UM...

Md Amiruzzaman

Md Amiruzzaman

social network analysis data-driven statistical analysis machine learning for large-scale datasets

Md Amiruzzaman is a faculty member at West Chester University, specializing in data-driven research and analytics. His work focuses on statistical analysis, machine learning, social network analysis, data mining, and data visualization, bridging theory and practical applications ...

Yeonjung Lee

Yeonjung Lee

stance detection aspect-based sentiment classification targeted manipulation analysis

With 4 years of experience in targeted manipulation, threat analysis, and misinformation research, I specialize in social network analysis. My expertise extends to stance detection and aspect-based sentiment classification, leveraging advanced machine learning techniques, natural...