Kaushik Roy

Kaushik Roy

Purdue University

H-index: 123

North America-United States

About Kaushik Roy

Kaushik Roy, With an exceptional h-index of 123 and a recent h-index of 72 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Neuromorphic computing, Machine Learning, ML hardware, Neuro-mimetic devices, Energy-efficient computing.

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

EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner

Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models

AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression

Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples

HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities

Global update tracking: A decentralized learning algorithm for heterogeneous data

Vehicle battery current sensing system

Sparsity-aware reconfigurable compute-in-memory (CIM) static random access memory (SRAM)

Kaushik Roy Information

University

Purdue University

Position

Professor of Electrical and Computer Engineering

Citations(all)

65501

Citations(since 2020)

23695

Cited By

51661

hIndex(all)

123

hIndex(since 2020)

72

i10Index(all)

813

i10Index(since 2020)

386

Email

University Profile Page

Purdue University

Kaushik Roy Skills & Research Interests

Neuromorphic computing

Machine Learning

ML hardware

Neuro-mimetic devices

Energy-efficient computing

Top articles of Kaushik Roy

Title

Journal

Author(s)

Publication Date

EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner

IEEE Robotics and Automation Letters

Sourav Sanyal

Rohan Kumar Manna

Kaushik Roy

2024/1/8

Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models

arXiv preprint arXiv:2402.10353

Kang He

Yinghan Long

Kaushik Roy

2024/2/15

AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression

arXiv e-prints

Sai Aparna Aketi

Abolfazl Hashemi

Kaushik Roy

2024/4

Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples

arXiv preprint arXiv:2403.08618

Sangamesh Kodge

Deepak Ravikumar

Gobinda Saha

Kaushik Roy

2024/3/13

HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities

arXiv preprint arXiv:2211.10754

Shristi Das Biswas

Adarsh Kosta

Chamika Liyanagedera

Marco Apolinario

Kaushik Roy

2022/11/19

Global update tracking: A decentralized learning algorithm for heterogeneous data

Advances in Neural Information Processing Systems

Sai Aparna Aketi

Abolfazl Hashemi

Kaushik Roy

2024/2/13

Vehicle battery current sensing system

2024/4/2

Sparsity-aware reconfigurable compute-in-memory (CIM) static random access memory (SRAM)

2024/3/12

Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data

Sai Aparna Aketi

Kaushik Roy

2024

Towards Image Semantics and Syntax Sequence Learning

arXiv preprint arXiv:2401.17515

Chun Tao

Timur Ibrayev

Kaushik Roy

2024/1/31

Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data

arXiv preprint arXiv:2403.03292

Sai Aparna Aketi

Sakshi Choudhary

Kaushik Roy

2024/3/5

On Inherent Adversarial Robustness of Active Vision Systems

arXiv preprint arXiv:2404.00185

Amitangshu Mukherjee

Timur Ibrayev

Kaushik Roy

2024/3/29

Ferroelectric capacitors and field-effect transistors as in-memory computing elements for machine learning workloads

Scientific Reports

Eunseon Yu

Gaurav Kumar K

Utkarsh Saxena

Kaushik Roy

2024/4/24

Towards Visual Syntactical Understanding

arXiv preprint arXiv:2401.17497

Sayeed Shafayet Chowdhury

Soumyadeep Chandra

Kaushik Roy

2024/1/30

A collective AI via lifelong learning and sharing at the edge

Nature Machine Intelligence

Andrea Soltoggio

Eseoghene Ben-Iwhiwhu

Vladimir Braverman

Eric Eaton

Benjamin Epstein

...

2024/3

TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data

IEEE Access

Manish Nagaraj

Isha Garg

Kaushik Roy

2024/4/18

Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms

arXiv preprint arXiv:2403.15717

Shrihari Sridharan

Surya Selvam

Kaushik Roy

Anand Raghunathan

2024/3/23

RoMIA: a framework for creating Robust Medical Imaging AI models for chest radiographs

Frontiers in Radiology

Aditi Anand

Sarada Krithivasan

Kaushik Roy

2024/1/8

Unveiling Privacy, Memorization, and Input Curvature Links

arXiv preprint arXiv:2402.18726

Deepak Ravikumar

Efstathia Soufleri

Abolfazl Hashemi

Kaushik Roy

2024/2/28

Towards Two-Stream Foveation-based Active Vision Learning

IEEE Transactions on Cognitive and Developmental Systems

Timur Ibrayev

Amitangshu Mukherjee

Sai Aparna Aketi

Kaushik Roy

2024/4/17

See List of Professors in Kaushik Roy University(Purdue University)

Kaushik Roy FAQs

What is Kaushik Roy's h-index at Purdue University?

The h-index of Kaushik Roy has been 72 since 2020 and 123 in total.

What are Kaushik Roy's top articles?

The articles with the titles of

EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner

Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models

AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression

Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples

HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities

Global update tracking: A decentralized learning algorithm for heterogeneous data

Vehicle battery current sensing system

Sparsity-aware reconfigurable compute-in-memory (CIM) static random access memory (SRAM)

...

are the top articles of Kaushik Roy at Purdue University.

What are Kaushik Roy's research interests?

The research interests of Kaushik Roy are: Neuromorphic computing, Machine Learning, ML hardware, Neuro-mimetic devices, Energy-efficient computing

What is Kaushik Roy's total number of citations?

Kaushik Roy has 65,501 citations in total.

What are the co-authors of Kaushik Roy?

The co-authors of Kaushik Roy are Anand Raghunathan, Muhammad Ashraful Alam, Swarup Bhunia, Saibal Mukhopadhyay, Sumeet Gupta, Priyadarshini (Priya) Panda.

Co-Authors

H-index: 84
Anand Raghunathan

Anand Raghunathan

Purdue University

H-index: 82
Muhammad Ashraful Alam

Muhammad Ashraful Alam

Purdue University

H-index: 58
Swarup Bhunia

Swarup Bhunia

University of Florida

H-index: 53
Saibal Mukhopadhyay

Saibal Mukhopadhyay

Georgia Institute of Technology

H-index: 39
Sumeet Gupta

Sumeet Gupta

Purdue University

H-index: 36
Priyadarshini (Priya) Panda

Priyadarshini (Priya) Panda

Yale University

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