Amani Alsam l Data Analysis | Research Excellence Award

Assist. Prof. Dr. Amani Alsam l Data Analysis | Research Excellence Award

Jazan University | Saudi Arabia

Assist. Prof. Dr. Amani Alsam is an academic researcher specializing in physical chemistry and ultrafast spectroscopy, with expertise in photoinduced charge transfer and excited-state dynamics in molecular and condensed-matter systems. Assist. Prof. Dr. Amani Alsam earned a PhD from KAUST, an MSc from the University of Waterloo, and a BSc from Jazan University, and has held academic and research positions at Jazan University and as a Visiting Research Scholar at the University of Michigan. Her research interests include donor–acceptor materials, conjugated polymers, hybrid interfaces, and semiconductor nanostructures, supported by advanced skills in ultrafast laser spectroscopy, 4D scanning ultrafast electron microscopy, materials synthesis, and device fabrication. Assist. Prof. Dr. Amani Alsam has received competitive scholarships and national research support, contributing impactful publications that advance energy, optoelectronic, and radiation-responsive materials research.

Citation Metrics (Scopus)

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Citations
82

Documents
11

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5

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Featured Publications

Effect of Conjugation Length on Photoinduced Charge Transfer in π-Conjugated Oligomer–Acceptor Dyads
The Journal of Physical Chemistry A, 2017, 121(26), 4891–4901
Bimolecular Excited-State Electron Transfer with Surprisingly Long-Lived Radical Ions
The Journal of Physical Chemistry C, 2015, 119(38), 21896–21903
Role of Ag Nanowires and MXenes in Optimizing Flexible, Semitransparent Bifacial Inverted Perovskite Solar Cells for Building-Integrated Photovoltaics: A SCAPS-1D Modeling Approach
Advanced Theory and Simulations, 2025, 8(3), 2401004
Enhanced Luminescence and Quenching Mechanisms in Na⁺/Co-Doped K₇CaY₂(B₅O₁₀)₃:Tb³⁺ Phosphors under UV Radiation
Applied Radiation and Isotopes, 20

Imran Rehan l Data Classification | Best Researcher Award

Assist. Prof. Dr. Imran Rehan l Data Classification | Best Researcher Award

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.

Citation Metrics (Scopus)

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200
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Citations
525

Documents
58

h-index
12

Citations

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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