Dr. Buyukates is an assistant professor at the University of Birmingham. He is with the Socio-Technical Systems group of the School of Computer Science.

His research interests are in the areas of machine learning (ML), generative artificial intelligence (AI), human-centred computing, distributed systems, wireless communications, networks, and information theory. His current research focus is on reliable and explainable large language models (LLMs), privacy-preserving ML, responsible data economics and valuation for collaborative ML, timely information exchange in distributed systems, and semantics of information. In his research, Dr. Buyukates utilizes tools and techniques from optimization, machine learning, statistics, applied cryptography, and information and coding theories.

Previously, Dr. Buyukates was a postdoctoral research associate at the University of Southern California (USC), working with Salman Avestimehr. He received his Ph.D. degree in Electrical Engineering from the University of Maryland (UMD), College Park, MD, USA in 2021 under the supervision of Sennur Ulukus. During his doctoral studies, Dr. Buyukates worked on timely information delivery in large networks, distributed computation and machine learning. Prior to joining UMD, he received his B.S. degree in Electrical and Electronics Engineering from Bilkent University, Turkey in 2016.

Machine Learning (ML), Trustworthy Generative Artificial Intelligence (AI), Human-Centred Computing, Distributed Systems, Wireless Communications, Networks, and Information Theory with a current focus on

• Reliable and explainable large language models (LLMs)

• Responsible data economics and valuation for collaborative ML

• Secure, trustworthy, and verifiable federated learning and analytics

• Privacy-preserving distributed ML

• Blockchain-empowered machine learning

• Timely information exchange in distributed systems

• Semantics and age of information