معرفی
Erchin Serpedin is a Full Professor in the Department of Electrical and Computer Engineering at Texas A&M University, holding positions in both the College Station campus and Texas A&M University at Qatar. He is an IEEE Fellow and TEES Fellow, recognized for contributions to signal processing, machine learning, and cybersecurity. His research spans smart grids, bioinformatics, and wireless communications. Serpedin has advised over 30 students, including PhD graduates who now hold prominent academic and industry roles. He leads the Electrical and Computer Engineering Program at TAMUQ and chairs the Artificial Intelligence in Medicine Symposium. His work is supported by grants from NSF, Qatar National Research Fund, and industry partners like Ooredoo.
Education: Ph.D. from University of Virginia (1999), M.S. from Georgia Tech (DSP), and advanced studies in France and Romania. Awards include the 2019 IEEE International Conference on Communications Best Paper Award and 2022 Faculty of the Year Award. He has authored over 250 publications and holds patents in synchronization algorithms and neural network applications.
Research focuses on cybersecurity in smart grids, machine learning for medical imaging, and AI-driven infrastructure resilience. Key projects include detecting cyberattacks using graph neural networks and optimizing EV charging stations via spatio-temporal planning. He collaborates with international institutions like the University of Glasgow and University of Hong Kong, advancing interdisciplinary solutions for energy, healthcare, and telecommunications.
Service roles include editorial boards for IEEE Transactions on Smart Grid and EURASIP journals, and conference leadership at ICC, Globecom, and IntelliSys. His lab develops tools like MetaAnalyst for metagenomic analysis and frameworks for hallucination detection in LLMs, emphasizing AI ethics and practical applications.
