Rate My Professor ABM Islam

ABM Islam is an Associate Professor in the Department of Computer Science at Sam Houston State University, where he also serves as Director of the Digital and Cyber Forensic Science doctoral program. He earned his Ph.D. in Computer Science and Engineering from the University of North Texas in 2019, with a dissertation titled 'Skin Detection in Image and Video Founded in Clustering and Region Growing,' advised by Bill Buckles. His research specializations include computer vision, machine learning, image processing, mHealth, and trustworthy AI, as reflected in his Google Scholar profile with 192 citations. Islam's work addresses practical challenges in digital forensics, medical imaging, and data optimization. Prior to his doctoral studies, his publications indicate collaborations on topics such as NAND flash memory translation layers and automobile black box data optimization.

Islam's key publications include 'Skin Detection in Image and Video Founded in Clustering and Region Growing' (2019, Mobile Multimedia/Image Processing, Security, and Applications), 'Non-Informative Frame Classification in Colonoscopy Videos using CNNs' (2018, ACM Conference Proceedings), 'Classification of Ulcerative Colitis Severity in Colonoscopy Videos using CNN' (2017, International Conference on Information Management and Engineering), 'Locality Competent Flash Translation Layer (LC-FTL) for NAND Flash Memory' (2014, Information), 'Optimization of Automobile Black Box Data for Maintenance and Rescue Subsystems' (2011, Advances in Information Sciences and Service Sciences), and 'An Improved Frequent Pattern Tree Based Association Rule Mining Technique' (2011, International Conference on Information Science and Applications). These contributions demonstrate his impact in advancing automated skin detection, medical video analysis, storage systems, and data mining techniques. At Sam Houston State University, he contributes to graduate advising and program leadership in computer science and forensic science.