Rate My Professor Don Adjeroh

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.