Department of Computer Science and Engineering (CSE)

Name of the Faculty: Shahriar Hassan

Department: Computer Science and Engineering

Qualification: MSc. Engg. (Appeared)

Mobile: 01778390534

Email: shahriar.hassan303@gmail.com

Orchid ID: 0000-0003-1570-998X

Profile Weblink:

ResearchGate: https://www.researchgate.net/profile/Shahriar-Hassan-3

Google Scholar: https://scholar.google.com/citations?user=OFo2UCsAAAAJ&hl=en

LinkedIn: https://www.linkedin.com/in/shahriar-hassan-757675180/

1. Journal Publication

• Islam, Md Monirul, Shahriar Hassan, Sharmin Akter, Ferdaus Anam Jibon, and Md Sahidullah. “A comprehensive review of predictive analytics models for mental illness using machine learning algorithms.” Healthcare Analytics (2024): 100350.
• Hamzah, Muzaffar, Md. Monirul Islam, Shahriar Hassan, Md. Nasim Akhtar, Most. Jannatul Ferdous, Muhammed Basheer Jasser, and Ali Wagdy Mohamed. 2023. “Dis-tributed Control of Cyber Physical System on Various Domains: A Critical Review” Systems 11, no. 4: 208. https://doi.org/10.3390/systems11040208
• Shahriar Hassan, Umme Farhana and Md. Karam Newaz, 2023. “A hybrid meta-heuristic approach for channel estimation in OFDM MIMO”, Journal of Gono Bishwa-bidyalay, Vol 4, Issue 1, pp. 224-236. https://gonouniversity.edu.bd/research/wp-content/uploads/2023/03/224-236-Shahriar-Hassan.pdf

2. Book
3. Book Chapter

• Shahriar Hassan, Akter, T., Tasnim, F., Newaz, M.K. (2023). Machine Learning Mod-els to Identify Discriminatory Factors of Diabetes Subtypes. In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technolo-gies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Infor-matics and Telecommunications Engineering, vol 491. Springer, Cham.

4. Conference Publication etc.

• K. Noman, S. M. Shamsul Islam, Shahriar Hassan and R. Pervin, “An Improved Data Aided Channel Estimation Technique Using Genetic Algorithm for Massive MIMO,” 2018 International Conference on Machine Learning and Data Engineering (iCMLDE), Sydney, NSW, Australia, 2018, pp. 61-66.
• Shahriar Hassan, M. A. Muztaba, M. S. Hossain and H. S. Narman, “A Hybrid Encryp-tion Technique based on DNA Cryptography and Steganography,” 2022 IEEE 13th An-nual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, Canada, 2022, pp. 0501-0508.
• Shahriar Hassan, Abul K. Azad, Tania Akter and Md. Karam Newaz, “Detecting Bangladeshi Counterfeit Bank Notes using Transfer Learning Approach”, International Conference on Electronics and Informatics 2022, Atomic Energy Centre, Dhaka, Bang-ladesh, January 2023, pp. 49.
• Ahamed, M. A. Rahman, Shahriar Hassan, T. Akter, M. R. Mia, L. Barua and M. K. Newaz, “Identify Discriminatory Factors of Dhaka to Banglabandha Accidental Fatal Subtypes in Bangladesh Using Machine Learning Techniques”, International Confer-ence on Electronics and Informatics 2022, Atomic Energy Centre, Dhaka, Bangladesh, January 2023, pp. 83.