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Hasibul Islam

Learner | R&D Engineer | ECE graduate | Embedded system, Cyber Security & AI/ML enthusiast

I am Hasibul Islam, an R&D Engineer at BDCOM and a passionate researcher in Artificial Intelligence, Cybersecurity, and IoT systems. I have completed my B.Sc. in Electronics and Communication Engineering from Hajee Mohammad Danesh Science and Technology University (HSTU)

I am particularly interested in developing AI-driven adaptive authentication models, intelligent anomaly and intrusion detection systems, and lightweight, explainable security algorithms suitable for constrained IoT devices.
My long-term goal is to pursue a Master by Research, followed by a PhD, focusing on building next-generation AI-based security frameworks that are scalable, autonomous, and deployable in real-world systems. I am passionate about bridging the gap between academic research and practical industry solutions, with a vision to contribute meaningful innovations to the global cybersecurity landscape. Outside of work, I constantly explore new technologies, develop system-level tools, and engage in self-driven research in embedded systems, firmware development, network security and machine learning.

Education

B.Sc (engg.) in Electronics and Communication engineering (Jan, 2018 - Nov, 2023)

Hajee Mohammad Danesh Science and Technology University

cgpa: 3.54 out of 4.00

Relevant Coursework: Computer Networking, Data Structure and Algorithm, Operating System, Digital Signal processing

Experience

R&D Engineer (Nov, 2023 - Present)

BDCOM

Responsibilities:
  • Maintaining core network security modules including IEEE 802.1X, Portal Authentication, DHCP-Snooping and also BackUpLink for embedded Linux and VxWorks-based switches.
  • Implemented IEEE 802.1X supplicant functionality to BDCOM switches, improving authentication and access control.
  • Designed and Developed a complete Portal Authentication (Captive Portal) module, enabling secure web-based user verification.
  • Performed in-depth debugging and mitigation of protocol-layer vulnerabilities, improving overall system robustness and threat resilience in switching firmware.
  • Resolved multiple protocol-level bugs to improve system stability and security compliance.
  • Collaborate with HAL and QA teams to ensure secure integration and compliance with industry network security standards.

Publications

  • Hasibul Islam, A. Kumar Mandal, M. S. Hossain, D. Haque, H. Saha, and T. Esha, “Development and Implementation of an IoT-enabled Real-time Cold Storage Monitoring and Notification System,” Proceedings of the 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), Dhaka, Bangladesh, 2024, pp. 1–6. DOI: 10.1109/iCACCESS61735.2024.10499536
  • Hasibul Islam, Md Shahzamal, D. Haque, Md. Selim Hossain, “Early Detection of System Failure Using Machine Learning Techniques.“ In Data Driven Applications for Industry 4.0 and Beyond, Taylor & Francis/CRC Press, 2025. DOI: 10.1201/9781032648705-17
  • M. S. Hossain, Hasibul Islam, Md. Biswas, Md. Mehedi Islam. “Lychee Tree Disease Detection Using Machine Learning and Deep Learning Techniques: A Deep Ensemble Model Using Stacking and Meta-Learning.“ Submitted to Engineering Applications of Artificial Intelligence (Under Review) 2025.