M. Sc. In Software Engineering, (Major in Data Science), Daffodil International University, Dhaka, Bangladesh.
B.Sc. In Software Engineering, Daffodil International University, Dhaka, Bangladesh

Training Experience:

1. Computer Office Application, Bangladesh Technical Education Board, Dhaka.
2. Web Application Development, PHP, BASIS Institute of Technology & Management (BITM).
3. Crash Course on Machine Learning, Indian Institute of Coding Objects.
4. Teaching Apprentice Fellowship Program, Daffodil International University.
5. Training On Learning Management System from Daffodil International University.
6. Teacher’s Training Program, (5 days), 2022, Daffodil International University. 
7. Training on “Boost your Mental Well Being” from HRDI, DIU.
8. Supply Chain | Post Covid-19 Supply Chain in South Asian Economics from HRDI, DIU.

Teaching Experience:

1. Software Engineering.
2. Computer Fundamental.
3. Software Security.
4. Data Communication & Computer Networking.
5. C programming.
6. Object Oriented Design.
7. Discrete Mathematics.

Journals:

1. Exploring Machine Learning for Predicting Cerebral Stroke: A Study in Discovery. Rajib Mia, Shapla Khanam, Amira Mahjabeen, Nazmul Hoque Ovy, Deepak Ghimire, Mi-Jin Park, Mst Ismat Ara Begum, ASM Hosen. Electronics (2079-9292) (Scopus Indexed).
2. Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques. Niloy Biswas , Md Mamun Ali ,Md Abdur Rahaman, Minhajul Islam ,Md. Rajib Mia ,Sami Azam ,Kawsar Ahmed ,Francis M. Bui ,Fahad Ahmed Al-Zahrani ,and Mohammad Ali Moni.
   Received 21 October 2022; Revised 8 December 2022; Accepted 1 April 2023; Published 2 May 2023(Scopus Indexed).
3. Mia, Md Rajib, Tapushe Rabaya Toma, Syeda Sumbul Hossain, Imran Mahmud, and Joy Roy. Usability Testing of Tourism Apps In Bangladesh. International Journal of Scientific & Technology Research 9(4):2793-2797, April 2020 (Scopus Indexed)
4. The Future of Electronic Voting System Using Block chain.  Md. Razu Ahmed, F.M. Javed Mehedi Shamrat, Md. Asraf Ali, Md. Rajib Mia, Mst. Arifa Khatun.

Conference:

1. Early Prediction and Analysis of DTI and MRI-Based Alzheimer’s Disease Through Machine Learning Techniques. Amira Mahjabeen, Md Rajib Mia, F. N. U. Shariful, Nuruzzaman Faruqui & Imran Mahmud. First Online: 28 May 2023 (Scopus Indexed).
2. PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors. Md. Rajib Mia, Md. Ashikur Rahman, Md. Mamun Ali, Kawsar Ahmed, Francis M. Bui & S M Hasan Mahmud.
3. MRIAD: A Pre-clinical Prevalence Study on Alzheimer’s disease Prediction through Machine Learning Classifiers.  Jannatul Loba, Md. Rajib Mia, Imran Mahmud, Md. Julkar Nayeen Mahi, Md. Whaiduzzaman & Kawsar Ahmed.

Machine Learning, Deep Learning, Software Quality Assurance.

1. Department Best Student Award from Education Minister for extra-ordinary result in Masters.
2. Primary Govt. Scholarship.
3. International Angel Association Scholarship, Japan.
4. District Commissioner Scholarship for HSC Result.
5. HSC GPA 5 Award by Local Member of Parliament.
6. Research Award in 2020 in recognition of Scholarly Publications in Reputed Indexed Journals.
7. B.Sc. Scholarship based on result for 4 Years, DIU.

1. Software Maintenance Engineer (Part Time), Dhaka, Bangladesh.  (March 2016 – April 2017)
2. Lecturer, ICT, Monpura College, Dhaka, Bangladesh. (October 2018 – January 2019)
3. Research Associate (Department of Software Engineering, DIU). (February 2019 – April 2020)
4. Lecturer (Contractual, Dept. of SWE, DIU). (September 2020 – December 2020)
5. Research Associate (Under Teaching Apprentice Fellowship Program, DIU). (January 2021 – August 2021)
6. Lecturer (Contractual, Dept. of SWE, DIU). (September 2021 – December 2021)
7. Lecturer (Dept. of SWE, DIU). (January 2022 – June 2024)