• M.Sc Engg. in Information and Communication Engineering (ICE), Noakhali Science and Technology University, Bangladesh. Passing Year: 2022.
• B.Sc Engg. in Information and Communication Engineering (ICE), Noakhali Science and Technology University, Bangladesh. Passing Year: 2020.

1. Induction Training for Teachers, facilitated by, Daffodil International University, held on 2nd September to 10th September 2025.
2. Outcome based Education (OBE) training, at CSE Department, ULAB, Dhaka, Bangladesh, 27 December, 2024.
3. Outcome based Education (OBE) training, at ICE Department, NSTU, Noakhali, 25 May, 2023.
4. Oral presentation, seminar on "In-Depth of Artificial Intelligence & Machine Learning" at Department of Information and Communication Engineering, NSTU, Noakhali, 15 March, 2020. 
5. Industrial training at Bangladesh Telecommunication Company Limited (BTCL). Duration: February 2019 – March 2019.
5. BDOSN programming seminar for girls, “Grace Hopper Girls Programming Training Camp” at Department of Information and Communication Engineering, NSTU, Noakhali. Duration: 27-12-2016 to 29-12-2016

Machine Learning, Artificial Intelligence, Data Structure, Algorithm, Computer Networking, Software Engineering, Operating System.

1. Fardowsi Rahman, Md. Ashikur Rahman Khan and Mahbubul Alam, ‘’Hybrid PSO-GA Optimization for Enhancing Decision Tree Performance in Soil Classification and Crop Cultivation Prediction.’’ Evolutionary Intelligence, 2025, 18(1), p.30. DOI:https://doi.org/10.1007/s12065-024-01015-5 [Publisher: Springer; Impact Factor: 2.3; Q2 Journal; Indexed in ESCI, Scopus, and others].
2. Fardowsi Rahman, Md. Ashikur Rahman Khan, Tasneem Z., ‘’Soil classification and crop cultivation prediction: a comparative study of machine learning models.’’ International Journal of Advanced Technology and Engineering Exploration. 2024, 11(117),1143-1168. DOI:10.19101/IJATEE.2024.111100127. [Impact Factor: 1.32; Q3 Journal; Indexed in Scopus].
3. Md Shakil Siddique, Md Ashikur Rahman Khan, Ishtiaq Ahammad, and Fardowsi Rahman. "An Intelligent Intrusion Detection System for Cyber-Physical Systems Using GAN-LSTM Networks." Franklin Open (2025): 100281. [Publisher: Elsevier; Cite Score: 1.4; Indexed in Scopus; Q3 Journal]
4. Md. Ashikur Rahman khan, Jesmin Akther, and Fardowsi Rahman., Comparative analysis of potato blight diseases BARI-72 and BARI-73 using a simplified convolutional neural network method. International Journal of Advanced Technology and Engineering Exploration. 2024, 11(115):819-837. DOI:10.19101/IJATEE.2024.111100083. [Impact Factor: 1.32; Q3 Journal; Indexed in Scopus]
5. Taspia Tazri Chaity, Md. Ashikur Rahman Khan, Fardowsi Rahman, “Prediction of Impacts and Outbreak of COVID-19 on the society using distinct machine learning algorithms” Iran Journal of Computer Science, 2023, 7(2), pp. 155-175.https://doi.org/10.1007/s42044-023-00166-5. ]
6. Rima Akter, Md. Ashikur Rahman Khan, Fardowsi Rahman, Sultana Jahan Soheli, Nusrat Jahan Suha, “RSA and AES based Hybrid Encryption Technique for Enhancing Data Security in Cloud Computing” Int. Journal of Computational and Applied Mathematics & Computer Science, 2023, 3: 60-71. 
7. Tania Sultana, Md. Ashikur Rahman Khan, Fardowsi Rahman, “Investigation Effect of Online Learning and Proposed an improved Online education process is Bangladesh perspective”, Transactions on Advances in Engineering Education, 2023, 20: 112-128.