Dr. ABM Islam

Dr. ABM Islam

Assistant Professor


ABM Rezbaul Islam

Office: AB1 212D

Phone: (936) 294-4198

E-mail: ari014@shsu.edu

Website: https://www.shsu.edu/ari014/

Selected Publications

Google Scholar link

  1. Islam, ABM Rezbaul, Ali Alamari and Dr.Bill Buckles,"Skin detection in image and video founded in clustering and region growing", Accepted at Mobile Multimedia/Image Processing, Security, and Applications 2019, Baltimore, Maryland, USA,2019.
  2. Islam, ABM Rezbaul, Ali Alamari,Junghwan Oh, Wallapak Tavanapong, Johnny Wong, and Piet C.de Groen, ”Non-Informative Frame Classification in Colonoscopy Videos using CNNs”,ACM Conference Proceedings (ISBN: 978-1-4503-6477-5)(in progress),2018.
  3. Islam, ABM Rezbaul, Alammari, Ali,JungHwan Oh, Wallapak Tavanapong, Johnny Wong, and Piet C.De Groen. ”Classification of Ulcerative Colitis Severity in Colonoscopy Videos using CNN.” In Proceedings of the 9th International Conference on Information Management and Engineering, pp.139-144. ACM,2017.
  4. Islam, ABM Rezbaul, Dong-Joo Park and Tae-Sun Chung "Locality Competent Flash Translation Layer (LC-FTL) for NAND Flash Memory." International Information Institute (Tokyo). Information 17, no. 8 (2014): 3741.
  5. Islam, ABM Rezbaul, Surafel Tashome and Tae-Sun Chung,”Optimization of Automobile Black Box Data for Maintenance and Rescue Sub systems”, Advances in information Sciences and Service Sciences, DBLP and Scopus cited, 2011.
  6. Islam, ABM Rezbaul and Tae-Sun Chung. ”An improved frequent pattern tree based association rule mining technique.” In Information Science and Applications (ICISA), 2011 International Conference on, pp. 1-8. IEEE, 2011.
  7. Islam, ABM Rezbaul, Surafel Teshome, Se Jin Kwon, Tae-Sun Chung, Shin-Kyung Lee, Jeong-Woo Lee, and Oh-Cheon Kwon. ”Efficient black-box maintenance scheduler and rescue system.” In Next Generation Information Technology (ICNIT), 2011 the 2nd International Conference On, pp.159-162. IEEE, 2011.