Ismail Adeniran
مدرس ارشد · Scientific Machine Learning
Manchester Metropolitan Universityمعرفی
Dr. Ismail Adeniran is a Senior Lecturer at Manchester Metropolitan University, with a research focus on integrating Physics, Computational Science, and Scientific Machine Learning to address complex problems in cardiovascular, neurological, and musculoskeletal diseases. His academic background includes an undergraduate degree in Chemical Engineering from UMIST, an MSc in Computation, and a PhD in Biological Physics from the University of Manchester.
- Doctor of Philosophy (Biological Physics), University of Manchester
- Master of Science (Computation), UMIST
- Bachelor of Science (Chemical Engineering), UMIST
His research expertise spans Computational Physiology, Scientific Software Development, Optimal Control, Deep Reinforcement Learning, Quantum Computing, and Mathematical Optimization. He applies these methodologies to understand pathophysiological mechanisms in conditions like Hypertrophic Cardiomyopathy, Atrial Fibrillation, and Heart Failure with Preserved Ejection Fraction, while developing therapeutic frameworks for these conditions.
Recent publications emphasize in silico modeling of cardiac arrhythmias, particularly Short QT Syndrome and Atrial Fibrillation, using biophysically detailed models. His work investigates genotype-phenotype relationships, electromechanical coupling, and the impact of mutations on ion channels and myocardial mechanics.
Dr. Adeniran also explores computational methods for Cryptoasset valuation, aiming to address volatility through novel quantum and classical algorithms. His full research portfolio includes collaborations in biophysical modeling, ECG analysis, and interdisciplinary approaches bridging physics, computation, and clinical applications.
