Acramul Haque Kabir is a Lecturer in the Department of Electrical and Computer Engineering at North South University. He received his M.Sc. in Biomedical Engineering from the University of Utah, where he specialized in computational biology and bioinformatics, and his B.Sc. in Biomedical Engineering from the Military Institute of Science and Technology (MIST), Bangladesh.

His research focuses on understanding complex disease mechanisms through integrative computational and experimental approaches. His work spans cancer biology, bioinformatics, and biomedical data science, with particular expertise in RNA sequencing, genome-wide association studies (GWAS), and CRISPR-based techniques. He has contributed to research on pancreatic ductal adenocarcinoma (PDAC), combining high-throughput sequencing analysis with molecular biology methods to investigate disease progression and identify potential therapeutic targets. His research has resulted in peer-reviewed publications and conference contributions.

Prior to joining North South University, he worked as a Research Associate at the Huntsman Cancer Institute and as a Research Assistant at the University of Utah, where he collaborated in multidisciplinary teams on cutting-edge biomedical research. In addition to his research, he has extensive teaching experience in areas such as embedded systems, analog electronics, biomaterials, and tissue engineering. He is committed to fostering interdisciplinary learning and mentoring students in both academic and research settings.

• Bioinformatics and Biotechnology
• Embedded Systems and Internet of Things (IoT)
• Signals and Image Processing
• Artificial Intelligence & Robotics

• Computational Biology and Bioinformatics
• Cancer Biology and Biomedical Imaging
• Biomedical Data Science and Machine Learning

• CSE 331 Microprocessor Interfacing & Embedded System
• CEE 110 Engineering Drawing (EEE 154)
• EEE 111/ ETE 111 Analog Electronics-I
• EEE 111L/ ETE 111L Analog Electronics-I Lab

Journals

Conference Papers

• “Optimized Bandwidth Allocation in Cellular Networks Using Genetic Algorithms and a Historical Stability Index” — Presented at the 2025 International Conference on Intelligent Computing and Next Generation Networks (ICNGN 2025), Singapore, 2025.
• “A Comparative Survey of IoT Platforms: Architecture, Security, and Emerging Trends Toward Distributed Intelligence” — Presented at the 2026 8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA 2026), Ankara, Türkiye, 2026.
• “Deep Learning for Reliable Healthcare: Insights from Chest X-Ray Prediction” — Presented at the 2025 28th International Conference on Computer and Information Technology (ICCIT 2025), Cox’s Bazar, Bangladesh, 19–21 December 2025.

• Dean’s List of Honor, Military Institute of Science and Technology (MIST), for outstanding academic performance (2019, 2020)
• Daily Star Award for Academic Excellence, recognizing outstanding performance in public examinations (2013, 2015)
• Graduate Fellowship, Department of Biomedical Engineering, University of Utah

• Lecturer, Department of Electrical and Computer Engineering, North South University
• Former Lecturer, Department of Biomedical Engineering, Military Institute of Science and Technology (MIST)
• Research Associate, Huntsman Cancer Institute, University of Utah
• Research Assistant, University of Utah (Al-Hilal Lab; Center of Excellence for Biomedical Microfluidics)
• Graduate Research Assistant, Deans Lab of Synthetic Biology, University of Utah
• Teaching Assistant, University of Utah, mentoring undergraduate students in tissue engineering and synthetic biology
• Member of curriculum development initiatives for Biomedical Engineering programs
• Active collaborator in interdisciplinary research spanning computational biology, cancer research, and biomedical engineering
• Contributor to peer-reviewed publications and international research conferences

1. Designed the curriculum and course syllabi for the Biomedical Engineering (BME) program.
2. Contributed to the Course Outcome (CO) and Program Outcome (PO) team for BAETE accreditation of the CSE program.
3. Conducted Teaching Assistant (TA) interviews and assignment/allocation activities for the EEE program.