Tadesse Ghirmai

Tadesse Ghirmai is a Professor and Division Chair of Electrical Engineering at the University of Washington Bothell, affiliated with the School of Science, Technology, Engineering & Mathematics. He has worked at the university since 2009 and holds a Ph.D. in Electrical Engineering from Stony Brook University (2007), an M.S. in Electrical Engineering from the University of South Florida, and a B.S.E.E. from Addis Ababa University, Ethiopia.

His research focuses on statistical signal processing, Bayesian analysis, and Monte Carlo methods for applications in wireless communication, sensor networks, system modeling, and biomedical signals. He has developed advanced algorithms for data detection, channel estimation, and adaptive filtering in dynamic communication environments.

Key trends in his 15 most recent publications (2012–2017) include innovations in

• distributed particle filtering
• Laplace autoregressive modeling
• non-invasive biomedical monitoring systems
• reduced-complexity precoding for MIMO-OFDM
• Bayesian methods in relay-based communication
• multi-band signal processing.

Scientific recognition includes the Best Paper of the Year Award from IEEE Signal Processing Magazine (2007) for co-authoring a seminal work on particle filtering in wireless communications. His teaching portfolio includes courses on digital signal processing, wireless communication, and statistical signal processing at undergraduate and graduate levels.