Portrait of Dr. Charles C Wiame

Dr. Charles C Wiame

  • Assistant Professor at Ingram School of Engineering, College of Science & Engineering

Biography

Dr. Wiame obtained his M.Sc. degree in Electrical Engineering and his Ph.D. in Wireless Communications from UCLouvain (Belgium) in 2017 and 2023. While pursuing his Ph.D., he also joined KTH Royal Institute of Technology (Sweden) as a visiting researcher in 2022. After completing his doctoral degree, he joined the Massachusetts Institute of Technology (MIT) as a postdoctoral associate within the Network Coding and Reliable Communications Group at the Research Laboratory of Electronics. In August 2025, he was appointed Assistant Professor at TXST, where he began establishing the LINSC Laboratory.

His research originates from the study of large-scale wireless network deployment and the issues introduced by their densification. His recent interests lie in developing sustainable and resilient solutions for 6G technologies. To this end, he fosters innovative interdisciplinary synergies that extend beyond communications, signal processing, and information theory & coding to encompass interconnected domains such as stochastic modeling and electromagnetics.

Dr Wiame has co-authored over a dozen IEEE publications. His doctoral articles pioneered novel applications of stochastic tools for analyzing coverage and radio-wave exposure in mobile systems. In 2024, he received the Ellersick Best Paper Award at the IEEE MILCOM conference for a postdoctoral paper on universal error correction in interference-limited networks. He has also demonstrated an outstanding record in mentorship and education, having supervised 17 early-career researchers and taught over 15 academic courses.

Research Interests

- Massive MIMO for 6G, non-terrestrial wireless networks, sustainable communications
- Statistical modeling of large-scale wireless networks: stochastic geometry, percolation theory, network theory.
- Universal error correction algorithms
- Interdisciplinary research exploring links between communications, applied mathematics, and electromagnetics

Teaching Interests

- Topics: ​Wireless communications; information theory and coding; signals and systems; random processes.

- Teaching approaches and interests in engineering education: Multi-format course materials design, Curriculum and course design, Far-transfer problem development