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
Te Yi Kan‘s research interests encompass privacy, wireless communication systems, wireless networks, vehicular networking, and edge computing. His current work focuses on designing low-latency privacy-preserving systems for machine learning. PhD student advised by Konstantinos Psounis….Continue Reading Te Yi Kan
Muhammad Jazlan‘s research interests are on advanced anti-tracking techniques using LLMs. At the surface level, Muhammad is trying to classify tracking URLs without the use of filter lists, using the LLM itself as a contextual classifier. The end goal is to come up with an end-to-end deployable system for end users PhD student advised by…Continue Reading Muhammad Jazlan
Rohan Sequeira‘s research interests are on quantifying trust and uncertainty in machine learning models using various methods of probabilistic logic that explicitly takes epistemic uncertainty into consideration. PhD student advised by Konstantinos Psounis….Continue Reading Rohan Xavier Sequeira
Ryan Swift‘s research interests are on designing safe and trustworthy AI systems. Ryan believes that key components of safe AI systems are explainability, robustness, privacy, and reproducibility. In particular, he believes these systems should be transparent and comprehensible to a regular person; they should not fail or become misaligned in the event of perturbations such…Continue Reading Ryan Swift