Rate My Professor Don Adjeroh

Donald Adjeroh is a Professor, Associate Chair for Computer Science, and Program Director for Computer Science Graduate Studies in the Lane Department of Computer Science and Electrical Engineering at West Virginia University’s Statler College of Engineering and Mineral Resources. He received his Ph.D. from the Chinese University of Hong Kong in 1997. Adjeroh has served on the faculty at West Virginia University for over two decades, supervising Ph.D. students, teaching undergraduate and graduate courses, and leading research projects. His teaching portfolio includes CS 623: String Algorithms, EE 568: Intro to Information Theory, CS 560/493N: Big Data Engineering, CS 350: Computer System Concepts, CS 110: Intro to Computer Science, and CS 558: Multimedia Systems.

Adjeroh’s research specializations include search data structures, computational biology, bioinformatics, biometrics, machine learning, digital health, data compression techniques such as the Burrows-Wheeler Transform and suffix arrays, image and video processing, big data in biological and medical contexts, pattern matching in compressed text, protein sequence analysis, and medical informatics. He is the author of the book The Burrows Wheeler Transform: Data Compression, Suffix Arrays, and Pattern Matching, published by Springer-Verlag in July 2008. Key publications encompass R. Beal and D. Adjeroh, “Parameterized longest previous factor,” Theoretical Computer Science, 437: 21-34, 2012; J. Lin, D. Adjeroh and B-H Jiang, “The Probabilistic Suffix Array: Efficient modeling and prediction of protein families,” Bioinformatics, 28(10): 1314-1323, 2012; U. Kandaswamy, D. Adjeroh, S. Schuckers, and A. Hanbury, “Robust color texture under illumination variations,” IEEE Transactions on SMC-B, 42(1): 58-68, 2012; J. Lin and D. Adjeroh, “All-against-all circular pattern matching,” The Computer Journal, 2011; and D. Adjeroh and F. Nan, “Suffix sorting via Shannon-Fano-Elias codes,” Algorithms, 3(2): 145-167, 2010. Adjeroh has secured major funding awards including the DOE CAREER Award, NASA-WV Space Consortium funding, WV-EPSCOR Research Challenge Grant and Research Grant Initiative, and grants from DOD-ONR, DHS, DOJ/NIJ, and NHPRC. He directs projects such as AI+HEC and WVAR-CRESH, advancing AI applications in health and engineering.