Faculty
Elza Erkip
Institute Professor
Bio
Link to CV
Google Scholar Page
Ph.D. Students
“I am currently interested in task-oriented and multiterminal source coding, with a particular focus on deriving information-theoretic bounds for one-shot compression problems. I enjoy working on information theory, statistics and wireless communications.”
“My research lies at the intersection of machine learning, optimization, information theory, and wireless communications. During my PhD, I have addressed and continue to tackle challenges in beam alignment, virtual reality, and the impact of hardware nonlinearity on channel capacity.”
“My current research is driven by a passion for connecting theory and practice in compression and telecommunication problems, particularly in distributed scenarios. I leverage tools from deep learning, signal processing, data compression and information theory, yielding interpretable results.”
“I have been working on utilizing reinforcement learning tools on network optimization, particularly in routing and scheduling for packets with strict deadlines. My research interests include, but not limited to, machine learning, wireless communications, and federated learning.”
“I am broadly interested in applied probability and wireless communications. I’m currently
working on information theoretic analysis of covert communication systems with particular
emphasis on hardware-based adversaries.”