Javad Dogani‘s ongoing research pursuits include the development of federated learning models customized to the specific requirements of distributed platforms, such as those employed in edge and fog computing. Javad received his M.Sc. degree in software engineering from Shiraz University in 2012 and completed his Ph.D. in software engineering from the same university in 2023….Continue Reading Javad Dogani
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 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
Tianyue Chu‘s research interests include Machine Learning and GNNs. Her primary goal is to employ ML-based approaches to prevent misinformation from spreading on the internet. PhD Student advised by Nikolaos Laoutaris….Continue Reading Tianyue chu
Devriş İşler is interested in data provenance (e.g., data ownership via watermarking) in data economy and creating new SoA techs by taking advantage of cryptography (e.g., MPC, FHE, SSE). Along the line, he is also doing some works on privacy (e.g., user perceptions, privacy policies). PhD Student advised by Nikolaos Laoutaris….Continue Reading Devriş İşler