Adithya Hegde

About

Assistant Professor of Robotics and AI at MITE, Moodabidre and Researcher in composite materials concentrating on Metal matrix composites. Passionate about music and student of 'Tabla', an Indian classical percussion instrument.

Employment

• BMS Institute of Technology and Management Assistant Professor
  2026 - Present
• Mangalore Institute of Technology and Engineering Assistant Professor
  2025 - 2026

Education

• Manipal Institute of Technology Doctor of Philosophy
  2021 - 2025
• BMS College of Engineering Master of Technology
  2018 - 2020
• Jawaharlal Nehru National College of Engineering Bachelor of Engineering
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (90)

• Comprehensive Review of the Architectural Metamorphosis and Techno-Economic Implications of Artificial Intelligence-Integrated Digital Twin Ecosystems
  Applied Sciences 2026 DOI: 10.3390/app16147233
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• Statistical and Neural Network-Based Prediction of Surface Roughness and Tool Wear in AISI 1040 Steel Machining Using SiO2 Nanoparticle-Infused Pongamia pinnata Lubricant and Coolant
  Lubricants 2026 DOI: 10.3390/lubricants14060223
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• Statistical Multi-Response Optimization and Prediction of Abrasive Water Jet Machining Process Parameters for HRS Fiber/CNT/Epoxy Hybrid Composites
  Journal of Composites Science 2026 DOI: 10.3390/jcs10040173
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• Multi-Response Optimization of Thermal Conductivity and Rheological Behavior in Nanoparticle-Enhanced Vegetable Oil Emulsions
  Journal of Composites Science 2026 DOI: 10.3390/jcs10020063
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• A rod-inserted design approach to delay failure and improve Mode II fracture toughness in metallic cylinders
  Applications in Engineering Science 2026 DOI: 10.1016/j.apples.2026.100324
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• Deep learning-driven optimization and predictive modeling of LASER beam machining for XG3 steel
  Scientific Reports 2026 DOI: 10.1038/s41598-025-34323-6
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• Integrating Generative Design and Cloud-Edge Intelligence for Autonomous Production Systems
  2026 Innovations in Machine Engineering and Digital Conference Imed 2026 2026 DOI: 10.1109/IMED68921.2026.11484145
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• Soft computing based prediction and optimization of process parameters during hot air machining (HAM) of tempered glass using multi-axis industrial robot
  Materials Today Communications 2026 DOI: 10.1016/j.mtcomm.2026.115591
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• Statistical analysis for machining force behaviour and surface morphology during turning of AISI 1040 steel under vegetable oil-in-water nanofluid lubrication
  Materials Research Express 2026 DOI: 10.1088/2053-1591/ae7af1
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• Thermal and mesomorphic behavior of hydrogen-bonded liquid crystals of new pyridine derivatives
  Discover Applied Sciences 2026 DOI: 10.1007/s42452-025-08171-y
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