Biography
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Md. Shafiqul Islam, Ph.D.
Assistant Professor
A Comprehensive Deep Learning Framework for Rice Variety Classification with Real-Time Deployment
2025Doppler Dilution of Precision Analysis for GNSS and Starlink LEO Satellite Positioning
2025PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network
2025A double-difference Doppler shift-based positioning framework with ephemeris error correction of LEO satellites
2024Performance Evaluation of Wi-Fi Based Multi-Person Interaction Datasets Using Transfer Learning
2024Robust Positioning with LEO Satellites: Double-Difference Doppler Shift-Based Approach
2024Wi-MIR: A CSI dataset for Wi-Fi based multi-person interaction recognition
2024Efficient Wi-Fi-based human activity recognition using adaptive antenna elimination
2023Real-time face mask position recognition system based on MobileNet model
2023Detecting COVID-19 status using chest X-ray images and symptoms analysis by own developed mathematical model: A model development and analysis approach
2022Epileptic-net: an improved epileptic seizure detection system using dense convolutional block with attention network from EEG
2022Hhi-attentionnet: An enhanced human-human interaction recognition method based on a lightweight deep learning model with attention network from csi
2022RATNet: A deep learning model for Bengali handwritten characters recognition
2022STC-NLSTMNet: An improved human activity recognition method using convolutional neural network with NLSTM from WiFi CSI
2022A deep learning-based multi-model ensemble method for eye state recognition from EEG
2021Detecting cognitive impairment status using keystroke patterns and physical activity data among the older adults: a machine learning approach
2021EyeNet: An improved eye states classification system using convolutional neural network
2020A new benchmark on american sign language recognition using convolutional neural network
2019Convolutional neural networks performance comparison for handwritten Bengali numerals recognition
2019Recognition bangla sign language using convolutional neural network
2019No resume/CV available.
Md. Shafiqul Islam, Ph.D. is an Assistant Professor of Computer Science and Engineering at the University of Asia Pacific (UAP), Dhaka, Bangladesh. He has extensive academic and research experience in computer vision, machine learning, deep learning, and intelligent decision-support systems, with a strong emphasis on real-world deployment, robustness, and interdisciplinary applications.
Dr. Islam received his Ph.D. in Computer Science and Engineering from Kwangwoon University, Republic of Korea, in 2023. Prior to joining UAP in January 2026, he served as an Assistant Professor in the Department of Computer Science and Engineering at the Bangladesh University of Business and Technology (BUBT). He also worked as a Postdoctoral Researcher at Korea University and Ajou University, where he contributed to multiple internationally funded research projects.
His research interests span computer vision, deep learning, image and video analysis, human activity recognition (HAR), intelligent transportation systems, AI-driven agriculture, cybersecurity, and signal and image processing. He has particular expertise in ensemble learning, Vision Transformers, multimodal learning, and real-time AI deployment, bridging theoretical model development with scalable web, mobile, and edge-based applications.
Dr. Islam has published widely in Scopus- and ISI-indexed international journals, including Smart Agricultural Technology, IEEE Access, IEEE Systems Journal, IEEE Sensors Journal, Sensors, Multimedia Tools and Applications, Journal of Healthcare Engineering, and other reputable venues. His research contributions include the development of benchmark datasets, stacked ensemble learning frameworks, and AI-powered decision-support platforms for applications in agriculture, healthcare, and smart cities.
As an educator, Dr. Islam has taught a wide range of undergraduate and postgraduate courses, including Data Structures and Algorithms, Machine Learning, Neural Networks, Digital Image Processing, and Technical Writing & Presentation. He has supervised numerous B.Sc. and M.Sc. theses, many of which focus on deep learning applications, intelligent systems, agricultural AI, medical image analysis, and security-aware computing.
Dr. Islam is widely recognized for his analytical rigor, structured research methodology, mentorship-oriented supervision style, and ability to translate advanced AI concepts into deployable, impact-driven solutions. His professional vision centers on AI for sustainability, smart agriculture, intelligent healthcare, and capacity building in advanced computing education, with a strong commitment to international collaboration and societal impact.
No routine information available.
No educational qualification information available.
No course information available.