Department of Computer Science and Engineering
Mr. Afjal Hossan Sarower  Lecturer (Senior Scale)
Name :
Mr. Afjal Hossan Sarower
Employee ID
710002635
Designation
Lecturer (Senior Scale)  
Department
Department of Computer Science and Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/cse/afjal.html
E-mail
afjal.cse@diu.edu.bd
Phone
Cell-Phone
01869 045878
  • Doctor of Philosophy in Cyber Security (Ongoing-BUET)
  • Master of Science in Computer Science and Engineering.
  • Bachelor of Science in Software Engineering.

 

  • Teachers’ Training Program (TTP)-2021, Duration: 06 days(02 to 10 January 2021), Arranged by Human Resource Development Institute (HRDI), Daffodil International University.
  • Outcome Based Education Training Program for Faculty Development - 8 session (2021-2025)
  • Top-up Information Technology Training, LICT on JAVA Web Development, organized by Bangladesh Computer Council.

 

  • Information Security
  • Object Oriented Programming with Java and Python (I and II)
  • Database Management System
  • Software Engineering
  • Web Application Development
  • Data Structure and Algorithm
  • Computer Graphics

Journal Article

 

  1. H. Sarower, T. Bhuiyan, M. M. Hasan, M. S. Arefin, and G. Hossain, “SMFA: Strengthening Multi-Factor Authentication with Steganography for Enhanced Security,” IEEE Access, p. 1, Jan. 2025, doi: 10.1109/access.2025.3545769.
  2. B. Zannah, S. I. Tonni, Md. A. Sheakh, Mst. S. Tahosin, A. H. Sarower, and M. Begum, “Comparative Performance Analysis of ensemble learning methods for fetal health classification,” Informatics in Medicine Unlocked, p. 101656, May 2025, doi: 10.1016/j.imu.2025.101656.
  3. Mahmud, A. H. Sarower, A. Sohel, M. Assaduzzaman, and T. Bhuiyan, “Adoption of ChatGPT by university students for academic purposes: Partial least square, artificial neural network, deep neural network and classification algorithms approach,” Array, vol. 21, p. 100339, Mar. 2024, doi: 10.1016/j.array.2024.100339.
  4. Bishshash, A. S. Nirob, H. Shikder, A. H. Sarower, T. Bhuiyan, and S. R. H. Noori, “A comprehensive cotton leaf disease Dataset for enhanced detection and Classification,” Data in Brief, vol. 57, p. 110913, Sep. 2024, doi: 10.1016/j.dib.2024.110913.
  5. H. Sarower and M. M. Hassan, “Necessity of reliable self-sovereign identity management framework for resource constrained IoT devices,” AIP Conference Proceedings, vol. 2746, p. 020003, Jan. 2023, doi: 10.1063/5.0112785.
  6. Blockchain attacks analysis and a model to solve double spending attacks.A Begum, AH Tareq, M Sultana, MK Sohel, T Rahman, AH Sarower, International Journal of Machine Learning and Computing 10 (2), 352-357
  7. H. Sarower, T. Bhuiyan, M. M. Hasan, M. S. Arefin, and G. Hossain, “SMFA: Strengthening Multi-Factor Authentication with Steganography for Enhanced Security,” IEEE Access, p. 1, Jan. 2025, doi: 10.1109/access.2025.3545769.

 

International Conferences:

 

  1. Bhuiyan, A. H. Sarower, R. Karim, and M. Hassan, “An Image Steganography Algorithm using LSB Replacement through XOR Substitution,” 2018 International Conference on Information and Communications Technology (ICOIACT), pp. 44–49, Jul. 2019, doi: 10.1109/icoiact46704.2019.8938486.
  2. Tabassum, A. H. Sarower, A. Esha, and Md. M. Hassan, “An enhancement of Kerberos using biometric template and steganography,” in Springer eBooks, 2020, pp. 116–127. doi: 10.1007/978-3-030-52856-0_9. [Best Paper Award]
  3. M. M. Rahman, A. H. Sarower, and T. Bhuiyan, “Detection and Classification of spam Email: A Machine Learning-Based Experimental Analysis,” in Lecture notes in networks and systems, 2024, pp. 241–260. doi: 10.1007/978-981-97-3937-0_17.
  4. Md. A. H. Kafi, P. Basak, A. H. Sarower, and S. A. Liza, “Accurate hepatitis C prediction through rigorous experimental analysis employing ensemble machine learning methods,” in Lecture notes in networks and systems, 2024, pp. 443–460. doi: 10.1007/978-981-97-3937-0_31.

AI in Security: Intrusion detection and Malware Analysis
Cryptography and Steganography.
Information Security and Privacy.
Privacy Preserving Authentication Protocol.
Blockchain, EVM and Self-Sovereign Identity.
IoT and Cyber Physical Systems Security.
Healthcare Analytics.

Founder and Director of SAR Lab: Applied Research in Security  & Intelligence
Google Scholar Profile: https://scholar.google.com/citations?user=Wcu6xuoAAAAJ&hl=en

  • 50% Merit based Scholarship (Exemption on Tuition Fees)- Undergraduate
  • 50% Academic Result based Scholarship (Exemption on Tuition Fees)- Undergraduate
  • Funded Trainee Engineer at Top-up LICT Training by Bangladesh Computer Council.
  • Best Paper Award (Special issue on Cybersecurity) for ‘An enhancement of
  • Kerberos using biometric template and steganography’ at ICONCS-2020, Dhaka.
  • Championship Award [Supervised Project] for ‘Remote doctor’ (Healthcare) at DIU
  • ICT Carnival- 2019.
  • Grand Finalist for WeatherEX at NASA Space Apps Challenge - 2016,Dhaka,
  • Bangladesh.
  • BASIS Exciting Project Award for NarEX at BASIS Soft-Expo Exciting Projects.

 

Lecturer, Department of Computer Science and Engineering , Daffodil International University, Dhaka, Bangladesh.
January 2021 - June 2023.

Research Associate, Department of Software Engineering , Daffodil International University, Dhaka, 
Bangladesh.
January 2019 - April 2020.

Research Associate, School of IT, Washington University of Science and Technology,
United States of America.
January 2025- December 2025.

Software Quality Assurance Engineer , Daffodil Software Limited, Dhaka, 
Bangladesh.
April 2016 - March 2017.