About
- Religion : Islam
- Email : mail@mraihan.me
- Website : Personal Portfolio Website
- Phone : +880-2477-730596 Ext. 105
- Mobile : +880-1714070902
- City : Khulna
- Degree : PhD Scholar in Computer Science and Engineering
Skills
Resume
Educational Background
No Educational Background is found !
Professional Experience
No Professional Experience is found !
Research Interest
Cognitive Science
Health Informatics
Biomedical Engineering
Data Science
Brain Computer Interface
Human Activity Recognition
Mental Stress and State prediction
Teaching
Current Teaching
CSE-1101 : Computer Basics and Programming
CSE-1102 : Computer Basics and Programming Laboratory
CSE-2107 : Discrete Mathematics
CSE-2204 : Software Development Sessional-II
CSE-3104 : Systems Programming and Operating System Sessional
CSE-3206 : Computer Networks Sessional
CSE-4101 : Neural Networks and Fuzzy Systems
CSE-4102 : Neural Networks and Fuzzy Systems Sessional
CSE-3206 : Software Engineering Sessional
Teaching History
CSE-3302 : Artificial Intelligence and Expert Systems Sessional
CSE-3304 : Computer Networks Sessional
CSE-4303 : Robotics and Computer Vision
CSE-3102 : Software Engineering Sessional
CSE-4201 : Information System Analysis and Design
CSE-3203 : Simulation and Modeling
CSE-3108 : Database Systems Sessional
CSE-3106 : Software Development Sessional III
CSE-4315 : Simulation and Modeling
CSE-1304 : Software Development Sessional-I
Publication
Rahman, Shagoto, M. Raihan, Kamrul Hasan Talukder, Sabia Khatun Mithila, Md Mehedi Hassan, Laboni Akter, and Md Mohsin Sarker Raihan. "Efficient machine learning approaches to detect fake news of covid-19." In Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2021, pp. 513-525. Singapore: Springer Nature Singapore, 2022.
Ghosh, Promila, M. Raihan, Nishat Tasnim Tonni, Himadri Sikder Badhon, Sayed Asaduzzaman, and Hasin Rehana. "Multi-labelled bengali public comments sentiment analysis with Bidirectional Recurrent Neural Networks (Bi-RNNs)." In Applied Intelligence for Industry 4.0, pp. 1-10. Chapman and Hall/CRC, 2023.
Mohalder, Rahul Deb, Khandkar Asif Hossain, Juliet Polok Sarkar, Laboni Paul, M. Raihan, and Kamrul Hasan Talukder. "Lung cancer detection from histopathological images using deep learning." In International Conference on Machine Intelligence and Emerging Technologies, pp. 201-212. Cham: Springer Nature Switzerland, 2022.
Raihan, M., Saikat Mondal, Arun More, Pritam Khan Boni, and Md Omar Faruqe Sagor. "Smartphone based heart attack risk prediction system with statistical analysis and data mining approaches." Advances in Science, Technology and Engineering Systems Journal 2, no. 3 (2017): 1815-1822.
Raihan, M., Saikat Mondal, Arun More, Pritam Khan Boni, and Md Omar Faruqe Sagor. "Smartphone based heart attack risk prediction system with statistical analysis and data mining approaches." Advances in Science, Technology and Engineering Systems Journal 2, no. 3 (2017): 1815-1822.
More, Kaanchan, M. Raihan, Arun More, Sharad Padule, and Saikat Mondal. "A12176 Smart phone based “heart attack” risk prediction; innovation of clinical and social approach for preventive cardiac health." Journal of Hypertension 36 (2018): e321.
M. R. Al Asif, S. Roy, A. Abdullah, M. Raihan, R. Akter and M. Z. Hossain, "Role and impact of biomedical engineering discipline for developing country perspective", Int. J. Innov. Res. Comput. Sci. Technol., vol. 6, no. 4, pp. 87-90, Jul. 2018.
Podder, Etu, Md Bellal Hossain, Md Ekhlasur Rahaman, Himadri Shekhar Mondal, Sajib Kabiraj, and M. Raihan. "Design and optimization of the perilous chemical sensor in the terahertz frequency range." Materials Today: Proceedings 43 (2021): 3720-3724.
Asaduzzaman, Sayed, Rana Chakma, Hasin Rehana, and M. Raihan. "Regulatory gene network pathway among brain cancer and associated disease: a computational analysis." Biointerface Res. Appl. Chem 11 (2021): 12973-12984.
Ghosh, Mounita, Md Mohsin Sarker Raihan, M. Raihan, Laboni Akter, Anupam Kumar Bairagi, Sultan S. Alshamrani, and Mehedi Masud. "A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease." Intelligent Automation & Soft Computing 30, no. 3 (202
Rehana, Hasin, Md Raihan Ahmed, Rana Chakma, Sayed Asaduzzaman, and M. Raihan. "A bioinformatics approach for identification of the core ontologies and signature genes of pulmonary disease and associated disease." Gene Reports 24 (2021): 101206.
Hassan, M.M., Hassan, M.M., Akter, L., Rahman, M.M., Zaman, S., Hasib, K.M., Jahan, N., Smrity, R.N., Farhana, J., Raihan, M. and Mollick, S., 2021. Efficient prediction of water quality index (WQI) using machine learning algorithms. Human-Centric Intelligent Systems, 1(3), pp.86-97.
Biswas, Pronab, Md Maruf Islam, Sayed Asaduzzaman, Nazrul Islam, and M. Raihan. "Modeling and Performance Analysis of Spiral Fishbone Network Using NS-2." Journal of Computer and Communications 10, no. 3 (2022): 125-140.
Raihan, M., Md Mehedi Hassan, Towhid Hasan, Abdullah Al-Mamun Bulbul, Md Kamrul Hasan, Md Shahadat Hossain, Dipa Shuvo Roy, and Md Abdul Awal. "Development of a smartphone-based expert system for COVID-19 risk prediction at early stage." Bioengineering 9, no. 7 (2022): 281.
Hassan, Md Mehedi, Sadika Zaman, Swarnali Mollick, Md Mahedi Hassan, M. Raihan, Chetna Kaushal, and Rajat Bhardwaj. "An efficient Apriori algorithm for frequent pattern in human intoxication data." Innovations in Systems and Software Engineering 19, no. 1 (2023): 61-69.
Hassan, Md Mehedi, Md Mahedi Hassan, Swarnali Mollick, Md Asif Rakib Khan, Farhana Yasmin, Anupam Kumar Bairagi, M. Raihan, Shibbir Ahmed Arif, and Amrina Rahman. "A comparative study, prediction and development of chronic kidney disease using machine learning on patients clinical records." Human-Centric Intelligent Systems 3, no. 2 (2023): 92-104.
Debnath, Anjan, Md Mahedi Hasan, M. Raihan, Nadim Samrat, Mashael M. Alsulami, Mehedi Masud, and Anupam Kumar Bairagi. "A smartphone-based detection system for tomato leaf disease using efficientNetV2B2 and its explainability with artificial intelligence (AI)." Sensors 23, no. 21 (2023): 8685.
Raihan, M., Anjan Debnath, Prokash Adhikary, Mehedi Masud, Hossam Meshref, and Anupam Kumar Bairagi. "Bridging Technology and Psychology: AI-Driven Analysis of Student’s Class Lecture Activity for Improved Learning Outcomes." IEEE Access (2024).
Halder, Pranto, Md Mehedi Hassan, AKZ Rasel Rahman, Laboni Akter, Abu Shakil Ahmed, Shakir Khan, Sajib Chatterjee, and M. Raihan. "Prospects and setbacks for migrating towards 5G wireless access in developing Bangladesh: A comparative study." The Journal of Engineering 2023, no. 10 (2023): e12319.
Raihan, M., Sami Azam, Laboni Akter, Md Mehedi Hassan, Ryana Quadir, Asif Karim, Saikat Mondal, and Arun More. "Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh." Data Intelligence 6, no. 3 (2024): 834-868.