Department of Computer Science and Engineering
Ms. Fardowsi Rahman  Lecturer
Name :
Ms. Fardowsi Rahman
Designation
Lecturer  
Department
Department of Computer Science and Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/cse/fardowsi.html
E-mail
fardowsi.cse@diu.edu.bd
Phone
+8809617901233
Cell-Phone
+88 01875923333
  • M.Sc Engg. in Information and Communication Engineering (ICE), Noakhali Science and Technology University, Bangladesh.
  • B.Sc Engg. in Information and Communication Engineering (ICE), Noakhali Science and Technology University, Bangladesh.



  • Induction Training for Teachers, facilitated by Daffodil International University, held on 2nd September to 10th September 2025.
  • Outcome based Education (OBE) training, at CSE Department, ULAB, Dhaka, Bangladesh, 28 December, 2024.
  • Attended the Workshop on Complex Engineering Problem (CEP) solving: integrating accreditation standards, organized by the Department of Computer Science and Engineering, Daffodil International University, on November 3, 2025. 
  • Grant Writing Excellence Training Session, jointly organized by the Division of Research and the Office of the Advisor, Strategy and Innovation, Daffodil International University, 22 September 2026.
  • “Building Impactful Research:Topic selection, Novelty and academic Research strategy”,organized by the division of Research(DoR), Daffodil International university held on 31 March 2026 at Daffodil Smart City(DSC), DIU. 
  • Industrial training at Bangladesh Telecommunication Company Limited (BTCL). Duration: February 2019 – March 2019.
  • 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 

Operating Systems, Microprocessor and Microcontroller, Object Oriented Programming, Data Communication, Artificial Intelligence.

Journal Papers:

 

  1. Fardowsi Rahman, Md. Ashikur Rahman Khan and Mahbubul Alam, 2025. ‘’Hybrid PSO-GA Optimization for Enhancing Decision Tree Performance in Soil Classification and Crop Cultivation Prediction.’’ Evolutionary Intelligence, 18(1), p.30. DOI: 10.1007/s12065-024-01015-5. [Publisher: Springer; Impact Factor: 4.6; Q1 Journal; Indexed in Scopus and ESCI].
  2. Md Shakil Siddique, Md Ashikur Rahman Khan, Ishtiaq Ahammad, Nishu Nath, Joysri Das and Fardowsi Rahman. "An Intelligent Intrusion Detection System for Cyber-Physical Systems Using GAN-LSTM Networks." Franklin Open (2025): 100281. [Publisher: Elsevier; Indexed in Scopus; Q2 Journal]
  1. Fardowsi Rahman, Md. Ashikur Rahman Khan, Zareen Tasneem, ‘’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. [Indexed in Scopus] 
  1. 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. [Indexed in Scopus]
  2. Taspia Tazri Chaity, Md. Ashikur Rahman Khan, Fardowsi Rahman, 2023. “Prediction of Impacts and Outbreak of COVID-19 on the society using distinct machine learning algorithms” Iran Journal of Computer Science, 7(2), pp. 155-175.DOI: 10.1007/s42044-023-00166-5. [Indexed in Scopus]
  3. Rima Akter, Md. Ashikur Rahman Khan, Fardowsi Rahman, Sultana Jahan Soheli, Nusrat Jahan Suha, 2023. “RSA and AES based Hybrid Encryption Technique for Enhancing Data Security in Cloud Computing” Int. Journal of Computational and Applied Mathematics & Computer Science, 3: 60-71.DOI: 10.37394/232028.2023.3.8 
  1.   Tania Sultana, Md. Ashikur Rahman Khan, Fardowsi Rahman, 2023. “Investigation Effect of Online Learning and Proposed an improved Online education process is Bangladesh perspective”, Wseas Transactions on Advances in Engineering Education, 20: 112-128.DOI: 10.37394/232010.2023.20.15

Artificial Intelligence, Machine Learning, Deep Learning, Neural Networking, NLP, and Data Science.

  • Awarded the ICT Division Research Fellowship (Fiscal Year 2021-22).
  • Achieved First Class First position in both B.Sc. and M.Sc. degrees from Noakhali Science and Technology University.

Lecturer
Department of Computer Science and Engineering (CSE)
Primeasia University, Banani, Dhaka.
Duration: November 1, 2023 – August 31, 2025