Gomal University | Pakistan
Assist. Prof. Dr. Imran Rehan is a physicist specializing in biophotonics with a Ph.D. in Physics and a postdoctoral focus on AI in healthcare. With over a decade of teaching and research experience, Dr. Imran Rehan integrates Raman spectroscopy, LIBS, fluorescence spectroscopy, and phase-lock-in polarimetry with machine learning to develop noninvasive, label-free diagnostic tools for diseases such as diabetes, cancer, and kidney disorders. His research emphasizes clinical spectroscopy, biomarker discovery, and optical instrumentation development. Dr. Imran Rehan has published extensively, contributed to book chapters, designed advanced spectroscopic systems, and received honors including the International Outstanding Scientist Award and Best Researcher of the Year, demonstrating impactful interdisciplinary innovation.
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Featured Publications
Machine learning assisted laser spectroscopy for simultaneous multiclass diabetes detection from blood plasma
– Microchemical Journal, 2026
Cardiovascular risk prediction in diabetes: a hybrid machine learning approach
– Biomedical Physics Engineering Express, 2025
A CatBoost and ExtraTrees-based softvoting ensemble approach for non-invasive diabetes detection using hair LIBS spectral data
– Microchemical Journal, 2025
Synthesis and characterization of CNTs doped polymeric composites: comparative studies on exploring impact of CNT concentration on morphological, structural, thermokinetic and mechanical attributes
– Zeitschrift Fur Physikalische Chemie, 2025
Application of Laser Spectroscopy and Machine Learning for Diagnostics of Uncontrolled Type 2 Diabetes
– Applied Spectroscopy, 2025