current students
Evren Tuna
Evren Tuna received the B.S. and M.S. degrees in electronics and communication engineering from the Izmir Institute of Technology (IZTECH), Izmir, Turkey, in 2013 and 2016, respectively. He worked at Turkcell, Istanbul, Turkey, from 2014 to 2022. He is currently a 6G Researcher at Ulak Communications, Ankara, Turkey, and a Ph.D. student in electrical and electronics engineering at Bahcesehir University (BAU), Istanbul, Turkey.
His research interests are machine learning applications in nextG networks and the design of wireless communication networks. His current research focuses on cellular traffic prediction, network slicing, private networks, and channel modeling.
Sujata Sinha
Sujata Sinha is a Ph.D. student in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. Prior to joining VT, Sujata received her B.Tech in Electronics and Communication Engineering and M.S. in Computer Science and Software Engineering, where she worked on healthcare and wearable technologies.
Broadly, she is interested in security and applications of machine learning. More specifically, her interests lie at the intersection of wireless security and adversarial machine learning.
Asude Baykal
Asude Baykal is an M.S. candidate in Computer Engineering at Virginia Tech. She is also a Graduate Teaching Assistant in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. She received her B.S. degree in Electrical and Computer Engineering from the University of Rochester in 2021. She is currently interested in machine learning approaches in time-series data, in particular cellular traffic prediction.
Alex Downey
Alex Downey is working towards his B.S. and M.S. degrees in Computer Engineering at Virginia Polytechnic Institute and State University (VT) with a focus in Machine Learning.
Alex is a member of the first cohort of VT's Calhoun Honors Discovery Program (CHDP), an Honors College initiative, providing a transdisciplinary, experiential, learning-based environment that connects students with industry. He is also on BOLT, VT's electric motorcycle design team, where he develops embedded firmware.
Alex's research interests involve the application of machine learning towards topics of time series analysis and predictive forecasting.
