Md Mehedi Hasan

Md Mehedi Hasan

Lecturer, Dept. of Mechatronics Engineering, Rajshahi University of Engineering & Technology (RUET)

About Me

Md Mehedi Hasan is a Lecturer at the department of Mechatronics Engineering, Rajshahi University of Engineering & Technology (RUET), Bangladesh. He has received his B.Sc. in Computer Science & Engineering degree from the department of Computer Science & Engineering with a CGPA of 3.76 out of 4.00 and securing 7th position among 120 students. He has obtained his M.Sc. in Computer Science & Engineering degree from the same with a CGPA of 3.75 out of 4.00. Before joining to RUET, he was a Lecturer at the department of Computer Science and Engineerng in Bangladesh Army University of Engineering & Technology (BAUET) from September 8, 2019 to May 31, 2021.

Education

  • M.Sc. in Computer Science & Engineering, Rajshahi University of Engineering & Technology, 2023
  • B.Sc. in Computer Science & Engineering, Rajshahi University of Engineering & Technology, 2019

Research Interests

  • Computer Vision
  • Machine Learning
  • Medical Image Processing
  • Robotics

Work Experience

  • Rajshahi University of Engineering & Technology: June 1, 2021 - Present
  • Bangladesh Army University of Engineering & Technology: September 8, 2019 - May 31, 2021

News

  • 15.05.2023--Completed M.Sc. Engineering in CSE from RUET
  • 08.05.2023--Published a preprint in arXiv titled "TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks"

Publications

Journals

  1. M. M. Hasan, M.A. Hossain, A.Y. Srizon, and A. Sayeed. "TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks." arXiv preprint arXiv:2305.04402 (2023).
  2. A. K. Shohug, M. H. Ovi, M. F. Ali, S. H. Abhi, S. K. Sarker, P. Das, M. M. Hasan</em>, S. K. Das, M. M. Islam, M. R. Islam, S. I. Moyeen, M. F. R. Badal, M.H. Ahamed, “Enhancing Low Light Images with Deep Learning: A State-of-the-Art Review and Future Directions”, Patterns, Elsevier. [Under Review].</li>
  3. A. Y. Srizon, M. A. Hossain, M. M. Hasan, A. Sayeed, “Bornomala-Net: An Attention-Based Low-Cost Convolutional Neural Network for Bengali Handwritten Character Recognition”, Pattern Analysis and Applications. Springer. [Under Review].
  4. S.A. Hasib, S. Islam, M. F. Ali, S. K. Sarker, Li Li, M. M. Hasan, S. I. Moyeen, D. k. Saha, "Enhancing Prediction Accuracy of Remaining Useful Life in Lithium-ion Batteries: A Deep Learning Approach with Bat Optimizer", Energy Reports, Elsevier [Under Review]
  5. D. J. Paul, M. Farhad, R. Islam, F.R. Badal, S.H. Abhi, M. M. Islam, S.K. Sarker, S.K. Das, P. Das, Z. Tasneem, M. M. Hasan, M. F. Ali, M. H. Ahamed, "Towards Next Generation Human-Robot Interaction in Industry 5.0: Technological Reviews, Challenges, and Prospects", IEEE Access, [Under Review]
  6. S.K. Biswas, M. M. Hasan, M. M. Islam, S. K. Sarker,S. K. Das, M. F. R. Badal,P.Das, S.I. Moyeen, M.H.Ahamed, M.R. Islam, M.F. Ali, S. H. Abhi, "Towards Virtual Modern Offices based on Metaverse: Framework, Trends, and Recommendation", Heliyon, Elsevier [Under Review]
  7. A. I. Shawon, R. Zara, M. M. Islam, M. M. Hasan, S. M. Muyeen, S. K. Das, P. Das, Z. Tasneem, R. Islam, F. R Badal, M. F. Ali, M. H. Ahmed, S.H. Abhi, S.K. Sarker, "Pedestrian Safety through Trajectory Prediction: State-of-the-Art Technologies, Strategies, Challenges, and Future Directions — A Scoping Review", IEEE Access [Under Review]
  8. R. R. Fahim, S. M. Jaoyad; P. Das, M. H. Ahamed, S. K. Sarker, S. H. Abhi, M. M. Hasan, S.K. Das, M. F. Ali, M. M. Islam, M. R. Islam, S. I. Moyeen, M. F. R. Badal, "Market twin: A review on blockchain based digital twin for market intelligence, business growth, predicting future trends customer behavior, and competitor manipulation", Journal of Computation Science, Elsevier [Under Review]
  9. S. M. Peash, M. F. Hossain, P. Das, S. K. Sarker, S. H. Abhi, M. M. Hasan, S. K. Das, M. F. Ali, M. M. Islam, M. R. Islam, S. I. Moyeen, M. F. R. Badal, M. H. Ahamed, "Review on Recent Advancement of UAV Autonomous Landing Maneuvers on a Moving Platform", Aerospace Science and Technology, Elsevier [Under Review]
  10. M. A. B. Siddik, A. Islam, S. H. Abhi, M. F. Ali, M. M. Islam, M. R. Islam, S. I. Moyeen, M. F. R. Badal, M. H. Ahamed, S. K. Sarker, P. Das, M. M. Hasan, S. K. Das, "Deep Learning and Natural Language Processing in Neuroradiology: Towards Next Generation Cutting Edge Technology in Healthcare", Computers in Biology and Medicine, Elsevier [Under Review]
  11. B. J. Paul, A.Sarker, S.H. Abhi, S.K. Das, M. F. Ali, M. M. Islam, M. R. Islam, S.I. Moyeen, M.F.R. Badal, M. H. Ahmed, S.K. Sarker, P.Das, M. M. Hasan, N.Saqib, "Potential Smart Grid Vulnerabilities to Cyber Attacks: Current Threats and Existing Mitigation Strategies", Heliyon, Elsevier [Under Review]
  12. M. A. Islam, L. Talukder, M. F. Ali, S. K. Sarker, S M Muyeen, P. Das, M. M. Hasan, S. K. Das, M. M. Islam, M. R. Islam, S. I. Moyeen, F. R. Badal, M. H. Ahamed, S. H. Abhi, "A review on Self-Healing featured Soft Robotics", Frontiers in Robotics and AI, section Soft Robotics.

  13. A.R. Anik, K. Islam, M. Islam, M.M. Hasan, S.K. Das and M.F. Ali, ”Non-invasive Portable Technologies for Monitoring Breast Cancer Related Lymphedema to Facilitate Telehealth: A Scoping Review”, IEEE Journal of Biomedical and Health Informatics (J-BHI), 2023.

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  14. S.H. Chowdhury, M. Sany, M. Ahamed, S.K. Das, F.R. Badal, P. Das, Z. Tasneem, M.M. Hasan, M. Islam, M. Ali, and S.H. Abhi, ”A State-of-the-Art Computer Vision Adopting Non-Euclidean Deep-Learning Models”, International Journal of Intelligent Systems, 2023.

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  15. A. Mazumder, M.F. Sahed, Z. Tasneem, P. Das, F.R. Badal, M.F. Ali, M.H. Ahamed, S.H. Abhi, S.K. Sarker, S.K. Das, M.M. Hasan, M.M. Islam, M.R. Islam, ”Towards next generation digital twin in robotics: Trends, scopes, challenges, and future.” Heliyon (2023)

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  16. C. Das, A.A. Mumu, M.F. Ali, S.K. Sarker, S.M. Muyeen, S.K. Das, P. Das, M.M. Hasan, Z. Tasneem, M.M. Islam, M.R. Islam, F.R. Badal, M.H. Ahamed, S.H. Abhi, ”Toward IoRT Collaborative Digital Twin Technology Enabled Future Surgical Sector: Technical Innovations, Opportunities and Challenges”, in IEEE Access, vol. 10, pp.129079-129104, 2022, doi: 10.1109/ACCESS.2022.3227644

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  17. M. Mashiata, T. Ali, P. Das, Z. Tasneem, M.F.R. Badal, S.K. Sarker, M. M. Hasan et al. ”Towards assisting visually impaired individuals: A review on current status and future prospects.” Biosensors and Bioelectronics: X 12 (2022): 100265

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  18. M. M. H. Sifat, S. M. Choudhury, S. K. Das, M. H. Ahamed, S. M. Muyeen, M. M. Hasan, M. F. Ali et al. ”Towards electric digital twin grid: Technology and framework review.” Energy and AI (2022): 100213

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  19. A. Biswas, M.A.O. Reon, P. Das, Z. Tasneem, S.M. Muyeen, S.K. Das, F.R. Badal, S.K. Sarker, M.M. Hasan, S.H. Abhi, M.R. Islam, M.F. Ali, M.H. Ahamed, M.M. Islam, ”State-of-the-Art Review on Recent Advancements on Lateral Control of Autonomous Vehicles,” in IEEE Access, vol. 10, pp. 114759-114786, 2022, doi: 10.1109/ACCESS.2022.3217213

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  20. A. Sayeed, J. Shin, M. A.M. Hasan, A. Y. Srizon, and M. M. Hasan, ”BengaliNet: A low-cost novel convolutional neural network for Bengali handwritten characters recognition.” Applied Sciences 11, no. 15(2021): 6845

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  21. S. S. Uddin, R. Joysoyal, S. K. Sarker, S.M. Muyeen, M. F. Ali, M. M. Hasan, S. H. Abhi, M. R. Islam, M. H. Ahamed, M. M. Islam, S. K. Das, M. F. R. Badal, P. Das, Z. Tasneem, "Next-generation blockchain enabled smart grid: Conceptual framework, key technologies and industry practices review", Energy and AI, Elsevier

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    Conferences

    1. M. M. Hasan, M. A. Hossain, A.Y. Srizon and A. Sayeed, ”JuktoMala: A Handwritten Bengali Consonant Conjuncts Dataset for Optical Character Recognition Using BiT-based M-ResNet-101x3 Architecture,” 3rd International Conference on Electrical, Computer and Communication Engineering (ECCE 2023), Chottogram, Bangladesh, 2023, pp. 1-4

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    2. A. Y. Srizon, M. A. Hossain, A. Sayeed and M. M. Hasan, “An Effective Approach for Handwritten Punctuation Recognition by Using a Low-cost Convolutional Neural Network.” In 2022 4th International Conference on Sustainable Technologies for Industry 4.0, pp.1-6. IEEE, 2022

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    3. M. M. Hasan, M. A. Hossain, A.Y. Srizon and A. Sayeed, ”ComNet: A Deep Convolutional Neural Network Capable of Classifying Compound Bengali Handwritten Characters High Number of Classes in a Data-Scarce State,” 2022 International Conference on Computer and Information Technology (ICCIT), Cox Bazar, Bangladesh, 2022, pp. 1-4

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    4. M. M. Hasan, A. Y. Srizon, A. Sayeed and M. A. M. Hasan, ”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), Dhaka, Bangladesh, 2021, pp.35-39,doi:10.1109/ICICT4SD50815.2021.9396917

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    5. M. M. Hasan, A. Y. Srizon, A. Sayeed and M. A. M. Hasan, ”Bengali Handwritten Isolated Compound Characters Recognition by Applying Transfer Learned Deep Convolutional Neural Network,” 2020 23rd International Conference on Computer and Information Technology (ICCIT), DHAKA, Bangladesh, 2020, pp. 1-6, doi:10.1109/ICCIT51783.2020.9392699

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    6. M. M. Hasan, A. Y. Srizon, A. Sayeed and M. A. M. Hasan, ”Classification of American Sign Language by Applying a Transfer Learned Deep Convolutional Neural Network,” 2020 23rd International Conference on Computer and Information Technology (ICCIT), DHAKA, Bangladesh, 2020, pp. 1-6, doi: 10.1109/ICCIT51783.2020.9392703

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    7. M. M. Hasan, A. Y. Srizon, A. Sayeed and M. A. M. Hasan, ”Accurate Recognition of Leukemia Sub-types by Utilizing a Transfer Learned Deep Convolutional Neural Network,” 2020 11th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2020, pp. 427-430, doi: 10.1109/ICECE51571.2020.9393031

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    8. D. Tasmere, B. Ahmed and M. M. Hasan, ”Bangla Sign Digits: A Dataset For Real-Time Hand Gesture Recognition,” 2020 11th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2020, pp. 186-189, doi: 10.1109/ICECE51571.2020.9393070

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    9. M. M. Hasan, A. Y. Srizon, A. Sayeed and M. A. M. Hasan, ”High-Performance Object Recognition by Employing a Transfer Learned Deep Convolutional Neural Network,” 2020 11th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2020, pp. 250-253, doi: 0.1109/ICECE51571.2020.9393032.

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    10. M. M. Hasan, A. Y. Srizon, A. Sayeed and M. A. M. Hasan, ”Handwritten Numerals Recognition by Employing a Transfer Learned Deep Convolution Neural Network for Diverse Literature,” 2020 11th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2020, pp. 431-434, doi:10.1109/ICECE51571.2020.9393079.

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    11. A. Sayeed, M. M. Hasan and A. Y. Srizon, ”Bengali Sign Language Characters Recognition by Utilizing Transfer Learned Deep Convolutional Neural Network,” 2020 11th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2020, pp. 423-426, doi: 10.1109/ICECE51571.2020.9393087

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    12. M. M. Hasan, A. Y. Srizon, A. Sayeed and M. A. M. Hasan, ”Bengali Handwritten Compound Characters Recognition by Utilizing Transfer Learning,” 2020 11th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2020, pp. 218-221, doi: 10.1109/ICECE51571.2020.9393097

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    13. M. M. Hasan, A. Y. Srizon, A. Sayeed and M. A. M. Hasan, ”c13 Language Characters by Applying a Deep Convolutional Neural Network,” 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), Dhaka, Bangladesh, 2020, pp. 434-438, doi:10.1109/ICAICT51780.2020.9333456.

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    14. M. M. Hasan, A. Y. Srizon and M. A. M. Hasan, ”C14 Sign Language Characters by Applying a Novel Deep Convolutional Neural Network,” 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh, 2020, pp. 1303-1306, doi: 10.1109/TENSYMP50017.2020.9230658.

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    15. M. M. Hasan, M. Md. Jahangir Kabir, M. R. Haque and M. Ahmed, ”C15 Approach Using Image Processing and Deep Learning to Detect Pneumonia from Chest X-Ray Image,” 2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh, 2019, pp. 89-92, doi:10.1109/ICECTE48615.2019.9303543

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    16. M. Ahmed, M. M. Jahangir Kabir, M. Kabir and M. M. Hasan, ”Identification of the Risk Factors of Cervical Cancer Applying Feature Selection Approaches,” 2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh, 2019, pp. 201-204, doi:10.1109/ICECTE48615.2019.9303554.

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    17. M. M. Hasan, M. R. Haque and M. M. J. Kabir, ”Breast Cancer Diagnosis Models Using PCA and Different Neural Network Architectures,” 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 2019, pp. 1-4, doi:10.1109/IC4ME247184.2019.903662

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    18. J. Uddin, I. Fahmida, S.I. Moyeen and M. M. Hasan, ”DOTA2 Winner Team Prediction based on Stacked Bidirectional LSTM Network,” 2022 4th International Conference on Electrical, Computer Telecommunication Engineering (ICECTE), 29-31 December 2022, Rajshahi-6204, Bangladesh

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    19. P. Das, N. A. Asif, M. M. Hasan, S. H. Abhi, M.J. Tatha, S. D. Bristi, ”Intelligent Door Controller Using Deep Learning-Based Network Pruned Face Recognition,” 2022 International Conference on Computer and Information Technology (ICCIT), Cox Bazar, Bangladesh, 2022, pp. 1-4

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