Ravi Sadananda Hegde

About Ravi Sadananda Hegde

Ravi Sadananda Hegde, With an exceptional h-index of 21 and a recent h-index of 17 (since 2020), a distinguished researcher at Indian Institute of Technology Gandhinagar, specializes in the field of Scientific Machine Learning, computational optics/EM, applied data science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep-learning Empowered Multi-objective Antenna Design: A Polygon Patch Antenna Case Study

Hybrid CMOS-Memristor Logic for Boosting the Power-Efficiency in Error Tolerant Applications

Optimally designed tunable phase change material-based narrowband perfect absorber

Power-Efficient Approximate Multipliers Leveraging Hybrid CMOS-Memristor Paradigm

Olympic Weightlifters' Performance Assessment Module Using Computer Vision

Surrogate models for device design using sample-efficient deep learning

Recent developments in Chalcogenide phase change material-based nanophotonics

Towards AI enabled automated tracking of multiple boxers

Ravi Sadananda Hegde Information

University

Position

___

Citations(all)

3206

Citations(since 2020)

1849

Cited By

2205

hIndex(all)

21

hIndex(since 2020)

17

i10Index(all)

32

i10Index(since 2020)

27

Email

University Profile Page

Indian Institute of Technology Gandhinagar

Google Scholar

View Google Scholar Profile

Ravi Sadananda Hegde Skills & Research Interests

Scientific Machine Learning

computational optics/EM

applied data science

Top articles of Ravi Sadananda Hegde

Title

Journal

Author(s)

Publication Date

Deep-learning Empowered Multi-objective Antenna Design: A Polygon Patch Antenna Case Study

Praveen Singh

Soumyashree S Panda

Ravi S Hegde

2024/2/28

Hybrid CMOS-Memristor Logic for Boosting the Power-Efficiency in Error Tolerant Applications

2024 37th International Conference on VLSI Design and 2023 23rd International Conference on Embedded Systems (VLSID)

Monika Pokharia

Kailash Prasad

Ravi Hegde

Joycee Mekie

2024/1

Optimally designed tunable phase change material-based narrowband perfect absorber

Journal of Nanophotonics

Devdutt Tripathi

Ravi Hegde

2023/1/1

Power-Efficient Approximate Multipliers Leveraging Hybrid CMOS-Memristor Paradigm

Monika Pokharia

Ravi S Hegde

Joycee Mekie

2023/11/19

Olympic Weightlifters' Performance Assessment Module Using Computer Vision

Pragathi Rethinam

Saravanan Manoharan

Anish Monsley Kirupakaran

Ranganathan Srinivasan

Ravi Sadananda Hegde

...

2023/9/14

Surrogate models for device design using sample-efficient deep learning

Solid-State Electronics

Rutu Patel

Nihar R Mohapatra

Ravi S Hegde

2023/1/1

Recent developments in Chalcogenide phase change material-based nanophotonics

Devdutt Tripathi

Hardik Vyas

Sushil Kumar

Soumyashee Soumyaprakash Panda

Ravi Hegde

2023/8/18

Towards AI enabled automated tracking of multiple boxers

arXiv preprint arXiv:2311.11471

AS Karthikeyan

Vipul Baghel

Anish Monsley Kirupakaran

John Warburton

Ranganathan Srinivasan

...

2023/8/9

Deep learning aids simultaneous structure–material design discovery: a case study on designing phase change material metasurfaces

Journal of Nanophotonics

Soumyashree S Panda

Sushil Kumar

Devdutt Tripathi

Ravi S Hegde

2023/7/1

Punch Types and Range Estimation in Boxing Bouts Using IMU Sensors

Saravanan Manoharan

John Warburton

Ravi Hegde

Ranganathan Srinivasan

Babji Srinivasan

2023/11/28

Fault tolerance and noise immunity in freespace diffractive optical neural networks

Engineering Research Express

Soumyashree S Panda

Ravi S Hegde

2022/2/28

A learning based approach for designing extended unit cell metagratings

Nanophotonics

Soumyashree S Panda

Ravi S Hegde

2022/1/13

Enhancing light emission near low-refractive-index contrast nanostructures via mirror-symmetry breaking

Journal of Nanophotonics

Hardik Vyas

Amit Kumar

Ravi S Hegde

2022/10/1

Deep learning approach for inverse design of metasurfaces with a wider shape gamut

Optics Letters

Soumyashree S Panda

Sumit Choudhary

Siddharth Joshi

Satinder K Sharma

Ravi S Hegde

2022/5/15

A learning-based approach for metasurface design beyond the unit-cell approximation

Soumyashree S Panda

Ravi S Hegde

2022/3/5

Sample-efficient dataset generation for Deep-Learning based inverse design of photonic nanostructures

Soumyashree S Panda

Harshul Tandan

Ravi S Hegde

2021/6/21

Towards training fault tolerant and noise immune diffractive optical neural engines

Soumyashree S Panda

Ravi S Hegde

2021/5/9

Optically-reconfigurable phase change material nanoantenna-embedded metamaterial waveguide

Optical Materials Express

Venkata Sai Akhil Varri

Devdutt Tripathi

Hardik S Vyas

Prankush Agarwal

Ravi S Hegde

2021/4/1

Multi-element metagrating design with densely-connected neural networks

Soumyashree S Panda

Harshul Tandan

Ravi S Hegde

2021/10/18

Sample-efficient deep learning for accelerating photonic inverse design

OSA Continuum

Ravi Hegde

2021/3/15

See List of Professors in Ravi Sadananda Hegde University(Indian Institute of Technology Gandhinagar)

Co-Authors

H-index: 67
Huigao Duan

Huigao Duan

Hunan University

H-index: 52
Xing Yi Ling

Xing Yi Ling

Nanyang Technological University

H-index: 50
Herbert Winful

Herbert Winful

University of Michigan

H-index: 37
Yih Hong Lee

Yih Hong Lee

Nanyang Technological University

H-index: 35
Hiang Kwee Lee

Hiang Kwee Lee

Nanyang Technological University

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