Associate Professor | Pak-Austria Fachhochschule Institute of Applied Sciences and Technology (PAF-IAST) | Pakistan
Assoc. Prof. Dr. Muhammad Ejaz Khan is a distinguished computational nanotechnology researcher with over 605 citations, 49 publications, an h-index of 12, and an i10-index of 14. His research spans advanced quantum simulations, density functional theory, effective-mass modeling, and high-performance computing for designing next-generation electronic, optoelectronic, and renewable-energy devices. He has made influential contributions to the study of hybrid halide perovskites, graphene/boron nitride heterostructures, thermoelectric nanomaterials, and spin-dependent transport phenomena. A key component of his work includes the development of cutting-edge quantum computational tools and simulation platforms, including contributions to a multidimensional quantum-dot modeling system and atomistic heat-transport software interfaced with leading DFT engines. His publications in ACS Nano, Advanced Functional Materials, J. Mater. Chem. A, Nano Convergence, and FlatChem demonstrate high-impact findings in defect engineering, environmental stability, interfacial thermal resistance, and novel negative differential resistance mechanisms. Assoc. Prof. Dr. Muhammad Ejaz Khan’s research portfolio includes funded international and national projects focused on low-dimensional materials, perovskite stability, nonlinear device architectures, and AI-powered assistive biomedical systems. His innovations have led to two patents related to perovskite-based NDR devices. He has earned multiple research awards, served as a reviewer and editorial contributor, and delivered invited talks at APS, MRS, KPS, and E-MRS, reinforcing his global impact in computational materials science.
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