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[交流] 美国德克萨斯州立大学计算机系招收全奖博士2名 (Deadline: Feb. 1, 2024)

Interested applicants are suggested to send your resume/CV and transcripts to chulho.lee@txstate.edu with the subject line "PhD applicant for Fall 2024". An interview will be set up as soon as possible and the recommendation from Dr. Chul-Ho Lee will be forwarded to the department for strong candidates.

There are two Ph.D. openings available with full financial support as RA/TA for Fall 2024 in Dr. Chul-Ho Lee's research group in the Department of Computer Science at Texas State University, San Marcos, TX, which is in the Greater Austin area, Texas. He is looking for highly motivated PhD students who have a solid mathematical background and/or strong programming skills. His research interests are in graph mining, network analysis, networking, and networked/computing systems. His recent focus is on (1) efficient algorithms and computational tools for network analysis and graph mining, (2) modeling, analysis, and control of epidemic/information spreading, (3) machine learning for mobile and IoT applications, and (4) accelerating data analysis and deep learning.

His research is currently supported by the National Science Foundation, NVIDIA, SK Hynix America, and other funding agencies. His graduate students have been having internship opportunities at NVIDIA and SK Hynix America. His group is currently working with a diverse group of researchers from NVIDIA, SK Hynix America, Lawrence Berkeley National Laboratory, and other universities.

Dr. Chul-Ho Lee is an Assistant Professor in the Department of Computer Science at Texas State University, San Marcos, TX. Prior to that, he worked as an assistant professor in the Department of Electrical Engineering and Computer Science at the Florida Institute of Technology, Melbourne, FL, and a senior research engineer in Samsung Research, Korea. He received his Ph.D. in Computer Engineering from North Carolina State University, Raleigh, NC. He has published over 40 papers, mostly in top-tier venues such as ACM KDD, ACM SIGMETRICS, ACM CIKM, ACM MobiHoc, IEEE/CVF CVPR, IEEE INFOCOM, IEEE ICDE, IEEE ICDCS, and IEEE/ACM Transactions and Journals, and his work was recognized as a Best Paper Award Finalist at ACM MobiHoc 2019. He has been serving on the program committees of several major IEEE/ACM/SIAM conferences in data mining, machine learning, and networking, and he is currently an associate editor for IEEE Transactions on Network Science and Engineering. For more information, please visit his homepage https://sites.google.com/site/chulholeesite/.

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