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Dr Adithya Hegde

vidwan id: 638310
Male

Assistant Professor,
Mangalore Institute of Engg. & Technology,MANGALORE

Expertise

  • Multidisciplinary Engineering

Publications

Total Articles 24
Books 0
Proceedings 0

Publications

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Scopus

Citations 138
h-index 7

CrossRef

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Citations 5
h-index 2
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Professional Recognition

2019

BMSCEAN Topper Award

BMS College of Engineering, Basavanagudi, Bangalore
2020

BMSCEAN Gold Medal for Highest Academic Excellence

BMS College of Engineering, Basavanagudi, Bangalore

Community & Membership

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Bio

Mechanical Engineering, Materials Engineering, Artificial Neural Networks, Design of Experiments

Personal Details

  • Male
  • Assistant Professor , Mangalore Institute of Engg. & Technology,MANGALORE
  • Parkala Highschool
Ph.D.
Other Institute 2025
M.Tech.
BMS College of Engineering 2020
Assistant Professor Jul 2025 – Present
Mangalore Institute of Engg. & Technology,MANGALORE

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Co-Authors (5)

Malikasab

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Scholarly Work

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Scholarly Publications

Comprehensive analysis of drilling responses in additively manufactured PLA using a regression—based statistical learning approach

Open Access
Article
Authors: Vishwadarshan;Shetty G.;Shetty R.;Supriya J.P.;Balaji V.;Hegde A.

Performance assessment and optimization of Ti6Al4V helical hole milling process

Open Access
Article

Quantitative and deep learning based fourier transform infrared radiation and tensile characteristics study on chemically treated hibiscus rosa-sinensis plant fibers

Open Access
Article
Authors: Supriya J.P.;Shetty S.;Shetty R.;Nayak R.;Maddasani S.;Hegde A.

Mechanical and physical characterization of chemically treated Hibiscus Rosa-Sinensis polymer matrix composites using deep learning and statistical approach

Open Access
Article

Optimizing the Die-Sink EDM Machinability of AISI 316L Using Ti-6Al-4V-SiCp Electrodes: A Computational Approach

Open Access
Article

Design of experiments integrated with neural networks for optimization and predictive modelling of electrode wear of novel Ti-6Al-4V-SiCp composites during die sinking electric discharge machining

Open Access
Article

Optimization and Prediction of Cutting Force for Sustainable Turning of Ti-6Al-4V under Different Lubricant Viscosity Conditions

Open Access
Conference Paper
Authors: Kumar C.R.S.;Shetty R.;Nayak R.;Hegde A.L.;Shetty D.;Nayak M.

Orthogonal Array and Artificial Neural Network Approach for Cutting Force Optimization during Machining of Ti-6Al4V under Minimum Quantity Lubrication (MQL)

Open Access
Conference Paper
Authors: Nayak M.;Ramappa S.K.C.;Shetty R.;Hegde A.L.;Shetty D.