On Leave
Assistant Professor
Md. Mehedi Hasan is serving as an Assistant Professor at the department of Mechatronics Engineering, Rajshahi University of Engineering & Technology. He has received his B.Sc in Computer Science & Engineering degree from the department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, and Master of Science in Computer Science & Engineering degree from the same. His research interests include Deep Learning, Machine Learning, Machine Vision, Natural Language Processing etc. He has authored more than 30 research articles in various peer-reviewed journals and conferences. .
Mechatronics Engineering
Rajshahi University of Engineering & Technology
Mechatronics Engineering
Rajshahi University of Engineering & Technology
Rajshahi University of Engineering & Technology
Rajshahi University of Engineering & Technology
Dinajpur Govt. College, Dinajpur
Jharbari Dwi-Mukhi High School, Dinajpur
| SL | Authors | Title | Publisher Details | Publication Year | Type |
| 1 | Md Ariful Islam, Labanya Talukder, Md Firoj Al, Subrata K Sarker, SM Muyeen, Prangon Das, Md Mehedi Hasan, Sajal K Das, Md Manirul Islam, Md Robiul Islam, Sumaya Ishrat Moyeen, Faisal R Badal, Md Hafiz Ahamed, Sarafat Hussain Abhi | A review on self-healing featured soft robotics | Frontiers in Robotics and AI | 2023 | Journal |
| 2 | Azmain Yakin Srizon, Md Ali Hossain, Abu Sayeed, Md Mehedi Hasan | An Effective Approach for Bengali Handwritten Punctuation Recognition by Using a Low-cost Convolutional Neural Network | 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI) | 2022 | Conference |
| 3 | Prangon Das, Nurul Amin Asif, Md Mehedi Hasan, Sarafat Hussain Abhi, Mehtar Jahin Tatha, Swarnali Deb Bristi | Intelligent Door Controller Using Deep Learning-Based Network Pruned Face Recognition | 2022 25th International Conference on Computer and Information Technology (ICCIT) | 2022 | Conference |
| 4 | Md Mehedi Hasan, Md Ali Hossain, Azmain Yakin Srizon, Abu Sayeed | ComNet: A Deep Convolutional Neural Network Capable of Classifying Compound Bengali Handwritten Characters High Number of Classes in a Data-Scarce State | 2022 25th International Conference on Computer and Information Technology (ICCIT) | 2022 | Conference |
| 5 | Jalal Uddin, Iffat Fahmida, Sumaya I Moyeen, Md Mehedi Hasan | DOTA2 Winner Team Prediction based on Stacked Bidirectional LSTM Network | 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) | 2022 | Conference |
| 6 | 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) | High Performance Classification of Caltech-101 with a Transfer Learned Deep Convolutional Neural Network | 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) | 2021 | Conference |
| 7 | Abu Sayeed, Jungpil Shin, Md. Al Mehedi Hasan, Azmain Yakin Srizon, and Md. Mehedi Hasan | BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition | Applied Sciences-MDPI | 2021 | Journal |
| 8 | Md. Mehedi Hasan, Azmain Yakin Srizon, Md. Al Mehedi Hasan | Classification of Bengali Sign Language Characters by Applying a Novel Deep Convolutional Neural Network | IEEE TENSYMP | 2020 | Conference |
| 9 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed, Md. Al Mehedi Hasan | Classification of Sign Language Characters by Applying a Deep Convolutional Neural Network | ICAICT | 2020 | Conference |
| 10 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed, Md. Al Mehedi Hasan | Bengali Handwritten Isolated Compound Characters Recognition by Applying Transfer Learned Deep Convolutional Neural Network | ICCIT | 2020 | Conference |
| 11 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed, Md. Al Mehedi Hasan | Classification of American Sign Language by Applying a Transfer Learned Deep Convolutional Neural Network | ICCIT | 2020 | Conference |
| 12 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed, Md. Al Mehedi Hasan | Bengali Handwritten Compound Characters Recognition by Utilizing Transfer Learning | ICECE | 2020 | Conference |
| 13 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed, Md. Al Mehedi Hasan | High-Performance Object Recognition by Employing a Transfer Learned Deep Convolutional Neural Network | ICECE | 2020 | Conference |
| 14 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed, Md. Al Mehedi Hasan | Bengali Sign Language Alphabets Recognition by Utilizing Transferred Learned Deep Convolutional Neural Network | ICECE | 2020 | Conference |
| 15 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed, Md. Al Mehedi Hasan | Accurate Recognition of Leukemia Sub-types by Utilizing a Transfer Learned Deep Convolutional Neural Network | ICECE | 2020 | Conference |
| 16 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed, Md. Al Mehedi Hasan | Handwritten Numerals Recognition by Employing a Transferred Learned Deep Convolution Neural Network for Diverse Literature | ICECE | 2020 | Conference |
| 17 | Dardina Tasmere, Dr. Boshir Ahmed, Md. Mehedi Hasan | Bangla Sign Digits: A Bangla Sign Digits Dataset for Real Time Hand Gesture Recognition | ICECE | 2020 | Conference |
| 18 | Md. Mehedi Hasan, Mir Md. Jahangir Kabir, Md. Rakibul Haque, Mohiuddin Ahmed | A Combined Approach Using Image Processing and Deep Learning to Detect Pneumonia from Chest X-Ray Image | International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) | 2019 | Conference |
| 19 | Mohiuddin Ahmed, Mir Md. Jahangir Kabir, Monika Kabir, Md. Mehedi Hasan | Identification of the Risk Factors of Cervical Cancer Applying Feature Selection Approaches | International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) | 2019 | Conference |
| 20 | Md. Mehedi Hasan, Md. Rakibul Haque and Mir Md. Jahangir Kabir | Breast Cancer Diagnosis Models Using PCA and Different Neural Network Architectures | International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) | 2019 | Conference |
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