Dr. Abdul Rehman
(Ph.D., Postdoc)
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Research Professor
Human Data Science Lab,
Jeonju University, Jeonju, South Korea
Professional Life in a Nutshell:
Professional Life in a Nutshell:
['25 - 'Present] Working as a Research Professor at Human Data Science Lab, Jeonju University, South Korea.
['21 - '24] Worked as a Postdoctoral Research Associate at Hyper-Connectivity Convergence Technology Research Center, Kyungpook National University (KNU), South Korea.
['21 - '21] Worked as Assistant Professor at University of Central Punjab, Pakistan.
['15 - '21] Integrated Ph.D. in Computer Science & Engineering, Kyungpook National University (KNU), Daegu, South Korea.
['13 - '15] Worked as a Visiting Lecturer of Mathematics and Statistics, Islamabad Model College for Girls, I-8/3, Islamabad.
['13 - '14] Worked as a Lecturer of Mathematics, Islamabad Model Postgraduate College for Boys, H-8, Islamabad.
['10 - '13] MSc in Mathematics, International Islamic University, Islamabad, Pakistan.
Biography:
Biography:
Dr. Abdul Rehman is a Research Professor at the Human Data Science Lab at Jeonju University, South Korea. Previously, he served as a Postdoctoral Research Associate at the Hyper-Connectivity Convergence Technology Research Center, Kyungpook National University (KNU), South Korea, and as an Assistant Professor at the University of Central Punjab, Pakistan.
He earned his Bachelor’s degree in Mathematics from the International Islamic University, Islamabad, Pakistan, and completed his Integrated Ph.D. in Computer Science and Engineering at KNU, South Korea. His research interests include IoT, Social IoT, Industrial IoT, Social Networking, Small-World Problems, Smart Cities, Smart Transportation Systems, Data Science, Mathematical Modeling for Decision Making, and Brain Mapping.
Dr. Rehman has received several accolades, including the KINGS Scholarship Award for his Integrated Ph.D. studies at KNU and the Outstanding Researcher Award from the School of Computer Science and Engineering, KNU.
He serves as an Associate Editor and Guest Editor for various international journals and has contributed to major conferences, including serving as Track Chair for ICSCA 2022 and General Chair for ICOT 2020.
Highlights:
Highlights:
Here is the list of my Journal and/or Conference papers recently published or accepted for publication.
2026: LEAF: A Lightweight Language-Enhanced Model for Forestry Analysis in Remote Sensing Imagery – Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2026.3672196
April 2026: Vision-Based Artificial Intelligence for Adaptive Peen Forming: Sensing Architectures, Learning Models, and Closed-Loop Smart Manufacturing – Published in Sensors. DOI: 10.3390/s26082460
March 2026: PlantCLR: Contrastive Self-Supervised Pretraining for Generalizable Plant Disease Detection – Published in Scientific Reports. DOI: 10.1038/s41598-026-45684-x
January 2026: Explainable AI-Enhanced Ensemble Protocol Using Gradient-Boosted Models for Zero-False-Alarm Seizure Detection from EEG – Published in Sensors. DOI: 10.3390/s26030863
2026: Event-Driven Neuromorphic Gaze Decoding via e-Skin Electrooculography – Published in ACS Nano. DOI: 10.1021/acsnano.5c19720
2026: Trust and Class Aware Service Discovery with Dual Control in the Social Internet of Things – Published in Scientific Reports. DOI: 10.1038/s41598-025-32432-w
September 2025: Improving Adversarial Resilience for Anomaly Detection in Heterogeneous Internet of Things through Ensemble Models – Published in Future Generation Computer Systems. DOI: 10.1016/j.future.2025.108299
September 2025: Voluntary Eye Blink and SSVEP-Based Selective Attention Interface for XR User Authentication: An Explainable Neural Decoding and Machine Learning Approach to Reducing Visual Fatigue – Published in IEEE Access. DOI: 10.1109/ACCESS.2025.3613355
September 2025: Machine Learning-Driven XR Interface Using ERP Decoding – Published in Electronics. DOI: 10.3390/electronics14193773
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