Information: The group of Dr. Songyang Zhang in the Department of Electrical and Computer Engineering at University of Louisiana at Lafayette has multiple fully funded Ph.D. openings (tuition + stipend) available in Fall 2024. Successful candidates will be working in the broad area of signal processing and machine learning, including the following topics:
1)Generative Learning for Wireless Communications (Semantic Communication/Federated Learning)
2)Physics-Embedded Machine Learning for Remote Sensing
3)Interpretable Graph Signal Processing and Graph Learning
University：University of Louisiana at Lafayette is a national research institution in the heart of culturally and ecologically diverse South Louisiana. It is designated by Carnegie Foundation as one of the 146 “R1: Doctoral Universities – Very high research activity” universities in the U.S. ULL has the largest enrollment and flagship within the nine-campus University of Louisiana System. The College of Engineering has over 1600 students, and offers B.S., M.S., and Ph.D. degrees in all engineering departments. The Electrical Engineering graduate program is one of the 10 bests in the country, according to graduateprograms.com. UL Lafayette ranks No. 114 in the CSRanking for artificial intelligence, computer vision, machine learning and mobile computing.
Lafayette, LA serves as the energy, financial, retail and medical center for South-Central Louisiana. It is famous for its high-quality lifestyle, pleasing climate and cultural diversity. Lafayette is the largest population and economic corridor between Houston, Texas and New Orleans, and is one of Louisiana’s fastest-growing metropolitan areas, which are good for living and studying.
Dr. Songyang Zhang: is currently an Assistant Professor with the Department of Electrical and Computer Engineering at the University of Louisiana at Lafayette. From 2021-2023, he was a Postdoctoral Research Associate with the Department of Electrical and Computer Engineering, University of California at Davis, where he also received the Ph.D. degree in 2021. He was awarded the 2020 IEEE ICIP Best Paper Finalist and 2022 Best TCSVT Reviewer. His current research interests include signal processing and learning over graphs, federated learning, physics-embedded neural networks, and wireless communications. More information is available: https://sites.google.com/view/sydzhang
Qualification: We are looking for highly motivated students with Bachelor’s or Master’s degrees from relevant science and engineering backgrounds, such as Electrical and Computer Engineering, Computer Science, Mathematics, Statistics, etc. International applicants must demonstrate English language proficiency by submitting satisfactory official English language proficiency test scores (TOEFL: 79; IELTS: 6.5). Please email your CV and transcript to [email protected] if interested. Visiting students and scholars are also welcomed.
