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Researcher

Bikram Koirala

  • Research Expertise  (University of Antwerp):The topic of my research is the development of advanced hyperspectral unmixing methods. My work integrates the physical machine learning methodologies. To validate the developed techniques, I regularly capture hyperspectral datasets from the mineral powder mixtures, mineral powder pastes, drill core samples, and construction materials. This topic requires expertise in distance geometry, manifold techniques, physical modeling, and numerical optimization methods.
  • Disciplines  (Interuniversity Microelectronics Centre):Display technology, Antennas and propagation, Automation and control systems, Analogue, RF and mixed signal integrated circuits, Neuromorphic computing, Audio and speech processing, Environmental safety and health of nanotechnology, Battery technology, Biomaterials, Ceramic matrix composites, Hybrid composites, Computational materials science, Metals and alloy materials, Polymer processing, Nanomaterials, Functional materials, Biomedical image processing, Biochemical engineering, Biofluid mechanics, Cell, tissue and organ engineering, Arithmetic and logic structures, Automation, feedback control and robotics, Bio-informatics, Analogue and digital signal processing, Engineering instrumentation, Environmental health and safety, Biostatistics, Care for disabled, Bioethics
  • Disciplines  (University of Antwerp):Astronomy and space sciences, Materials physics, Mathematical physics, Optical physics, Quantum physics, Other physical sciences, Other natural sciences
  • Research techniques  (University of Antwerp):My research work utilizes the physical model and state-of-the-art machine learning methodologies.
  • Users of research expertise  (University of Antwerp):The developed methodology opens the door to numerous applications for rapid, inexpensive, and non-destructive characterization of materials.