Dr. Ankur Jaiswal

About

Area of Research: Mechanisms, Robotics, Product Development, , AI in Healthcare and Medical Imaging, FEM, Smart Manufacturing, High Entropy Alloys

Area of Expertise: Mechanisms, Robotics, High entropy alloys, AI & Deep Learning

Employment

• Manipal Institute of Technology Associate Professor
  2025 - Present
• Manipal Institute of Technology Assistant Professor
  2019 - 2025
• GMR Institute of Technology Assistant Professor
  2019 - 2019

Education

• Visvesvaraya National Institute of Technology P.hD
  2014 - 2019
• Guru Ghasidas Vishwavidyalaya (A Central University) M.Tech
  2011 - 2013
• Chhattisgarh Swami Vivekanand Technical University B.E
  2006 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (50)

• Synergistic solid-solution and silicide strengthening in Si-modified MoNbVTa 0.5 refractory high entropy alloy
  Materials Technology 2026 DOI: 10.1080/10667857.2026.2715425
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• A synergistic strategy for strengthening and corrosion resistance in chromium-modified ductile refractory high-entropy alloys
  Materials Technology 2026 DOI: 10.1080/10667857.2026.2674815
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• Optimized Fourth-Order Symmetric S-Curve Trajectory for Vibration Control in Dynamic Systems
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3654013
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• Nonlinear numerical thermoelastic frequency prediction of hybrid smart (SMA bonded) nanocomposite doubly curved structure
  European Journal of Mechanics A Solids 2026 DOI: 10.1016/j.euromechsol.2025.105831
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• Silicon‐Induced Microstructural Refinement and Its Influence on Tribological and Corrosion Behavior of CoCrFeMnNi High‐Entropy Alloys
  Advanced Engineering Materials 2026 DOI: 10.1002/adem.202502401
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• Intelligent prediction and optimization of nanofluid-assisted turning using hybrid generative deep learning
  Scientific Reports 2026 DOI: 10.1038/s41598-026-50277-9
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• Review on the impact of processing routes and external factors on phase formation and tribological properties of CoCrFeMnNi HEAs
  Emergent Materials 2026 DOI: 10.1007/s42247-026-01413-8
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• Phase driven strengthening mechanisms in NbMoTiV based refractory high entropy alloys with Cr inclusions
  Materials Chemistry and Physics 2026 DOI: 10.1016/j.matchemphys.2026.132625
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• Optimization of CNC milling parameters for YXR-7 tool steel using fuzzy MARCOS: A multi-response approach to improve machining productivity
  PLOS One 2026 DOI: 10.1371/journal.pone.0352316
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• Multi-objective optimization for predicting and enhancing machining performance in nanofluid- assisted turning using meta heuristic algorithms
  Scientific Reports 2026 DOI: 10.1038/s41598-026-64724-0
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