Regular biography
Rik Sarkar is a Reader in the Department of Computer Science at The University of Edinburgh. His research interests include areas such as artificial intelligence and machine learning. He can be contacted via email at Rik.Sarkar@ed.ac.uk, and his profile page is available at https://www.ed.ac.uk/Rik_Sarkar.html.
Scholar-generated biography
Rik Sarkar is an Associate Professor at the University of Edinburgh, specializing in Machine learning, Privacy, Graph Machine Learning, and Topological Data analysis. His research focuses on developing advanced machine learning techniques for graph data, emphasizing privacy-preserving methods and structural analysis. He has contributed to the development of frameworks for node embeddings, submodular maximization, and spatiotemporal signal processing. His work also explores the intersection of generative AI and the internet, aiming to understand its implications. Sarkar's publications highlight innovations in graph embedding, information brokerage, and robust learning approaches for real-world applications.