On Leave

Dr. Md. Al Mehedi Hasan

ড. আল মেহেদী হাসান


Dr. Md. Al Mehedi Hasan is now working as a Postdoctoral Researcher  in the School of Computer Science and Engineering,The University of Aizu, Japan since November, 2020. He became a Lecturer, an Assistant  Professor, an Associate Professor and Professor inthe Department of Computer Science & Engineering in Rajshahi University  of Engineering & Technology (RUET), Rajshahi, Bangladesh in the year  of 2007, 2010, 2018 and 2019 respectively. He received B.Sc. and  M.Sc. in Computer Science & Engineering in the  Department of Computer Science & Engineering  from the University of Rajshahi, Rajshahi,  Bangladesh in 2005 and 2007 respectively. He  also completed a Ph.D. in Computer Science &  Engineering in of the Department of Computer  Science & Engineering from the University of Rajshahi  in 2017.  

His research interests include  Bioinformatics, Artificial Intelligence, Pattern Recognition, Medical Image  and Signal Processing, Machine Learning, Computer Vision, Data Mining,  Big Data Analysis, Probabilistic and statistical inference, Operating System,  Computer Network and Security. He has (co-)authored more than 80 publications  published in widely cited journals and conferences.

Field of Research
  •  Deep Learning
  •  Medical Image Processing
  •  Health Informatics
  •  Bioinformatics
  •  Data Mining
  •  Computer Vision
  •  Machine Learning
Google Scholar ResearchGate
  •  First Joined: 14th Feb, 2007
  •      Dept. of Computer Science & Engineering



Book / Book Chapter
Journal Articles
Conference Papers
SL Authors Title Publisher Details Publication Year Type
1 Sabit Ahmed, Afrida Rahman, Md Al Mehedi Hasan, Md Khaled Ben Islam, Julia Rahman, and Shamim Ahmad. predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance PloS one 16, no. 4 : e0249396.( SCI indexed, Impact factor: 2.74) 2021 Journal
2 Abu Zahid Bin Aziz, Md Al Mehedi Hasan, and Jungpil Shin. Identification of RNA pseudouridine sites using deep learning approaches PloS one 16, no. 2: e0247511. (SCI indexed, Impact factor: 2.74) 2021 Journal
3 Abu, Jungpil Shin Sayeed, Md Hasan, Al Mehedi, and Azmain Yakin Srizon. BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition Applied Sciences 11, no. 15 : 6845. (SCI indexed, Impact Factor: 2.679) 2021 Journal
4 Md Khaled Ben Islam, Julia Rahman, Md Al Mehedi Hasan, and Shamim Ahmad predForm-Site: Formylation Site Prediction by Incorporating Multiple Features and Resolving Data Imbalance Computational Biology and Chemistry : 107553. (SCI indexed, Impact Factor: 2.877) 2021 Journal
5 Jungpil Shin, Akitaka Matsuoka, Md. Al Mehedi Hasan, and Azmain Yakin Srizon American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation Sensors 21, no. 17: 5856. (SCI indexed, Impact Factor: 3.735) 2021 Journal
6 Md Maniruzzaman, Md Merajul Islam, Md Jahanur Rahman, Md Al Mehedi Hasan, and Jungpil Shin Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data Diabetes & Metabolic Syndrome: Clinical Research & Reviews: 102263.(Emerging Sources Citation Index (ESCI)) 2021 Journal
7 Md Ahmad Arafat, S. M. Shovan, Abdollah Dehzangi, Shubhashis