Behafarid Hemmatpour

Behafarid Hemmatpour‘s research interests are in traffic optimization and smart cities. Her expertise lies in statistical physics, complex networks, and modeling mobility patterns. Delving into human mobility and movement behaviors, she now aspire to devise algorithms and systems that tackle real-world challenges through data analysis. PhD student advised by Nikolaous Laoutaris….Continue Reading Behafarid Hemmatpour

Alexandr Goultiaev Tolstokorov

Alexandr Tolstokorov‘s research interests lie broadly along distributed and decentralized machine learning, the data economy, data valuation and the ways to ensure privacy and transparency in such systems. His current work is in exploring the role of data valuation and the cost associated with it in federated data marketplaces. PhD Student advised by Nikolaos Laoutaris….Continue Reading Alexandr Goultiaev Tolstokorov

Rajvardhan Oak

Raj Oak‘s research interest lie at the intersection of machine learning and internet security. His current work focuses on understanding how underground incentivized review services work, how they evade detection and whether machine learning can help detect such reviews. Additionally, he is also examining click fraud and how malicious JavaScript libraries can cause click hijacking….Continue Reading Rajvardhan Oak