Mihai Badiu

Dr Mihai-Alin Badiu is a Departmental Lecturer with the Department of Engineering Science at the University of Oxford. He is also a Stipendiary Lecturer in Engineering Science at Balliol College, where he teaches tutorials on various topics in mathematics and electrical engineering. His research interests include information and communication theory, random graphs, signal processing for communications, and probabilistic modelling & inference. Specific areas of focus are wireless massive access, interactive communications, goal/task-oriented communications, complexity and compression of random graphs, and Bayesian inference on graphs. Dr Badiu has published in leading peer-reviewed journals and conference proceedings and is an inventor on two patents. He regularly serves as a reviewer for various IEEE journals and conferences in the fields of communications, signal processing, and information theory.

Mihai-Alin Badiu is a researcher at the University of Oxford with expertise in Information Theory, Communication Theory, Wireless Networks, and Signal Processing. His work focuses on advanced signal processing techniques, including Bayesian inference, variational methods, and sparse estimation. He has contributed to the analysis of wireless networks with intelligent reflecting surfaces (RIS) and studied outage probability in IRS-assisted systems. His research also explores message-passing algorithms for channel estimation and decoding, as well as the structural complexity of random geometric graphs. Badiu's publications highlight the intersection of information theory and practical communication systems, emphasizing the value of information in hidden Markov models and the performance of NOMA systems with phase errors.