Gourav Datta

Gourav Datta

University of Southern California

H-index: 8

North America-United States

About Gourav Datta

Gourav Datta, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Spiking Neural Networks, In-Sensor Computing, Algorithm-Hardware Co-Design, Vision Language Models.

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

Neuromorphic-P2M: Processing-in-Pixel-in-Memory Paradigm for Neuromorphic Image Sensors

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units

Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ

Training Ultra-Low-Latency Spiking Neural Networks from Scratch

Towards Efficient Edge Intelligence with In-Sensor and Neuromorphic Computing: Algorithm-Hardware Co-Design

Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence

Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types

Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)

Gourav Datta Information

University

Position

Research Assistant

Citations(all)

312

Citations(since 2020)

312

Cited By

8

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Gourav Datta Skills & Research Interests

Spiking Neural Networks

In-Sensor Computing

Algorithm-Hardware Co-Design

Vision Language Models

Top articles of Gourav Datta

Title

Journal

Author(s)

Publication Date

Neuromorphic-P2M: Processing-in-Pixel-in-Memory Paradigm for Neuromorphic Image Sensors

Frontiers in Neuroinformatics

Md Abdullah-Al Kaiser

Gourav Datta

Zixu Wang

Ajey P Jacob

Peter A Beerel

...

2023/5/4

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units

arXiv preprint arXiv:2402.04882

Zeyu Liu

Gourav Datta

Anni Li

Peter Anthony Beerel

2024/1/20

Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ

arXiv preprint arXiv:2402.15121

Md Abdullah-Al Kaiser

Gourav Datta

Peter A Beerel

Akhilesh R Jaiswal

2024/2/23

Training Ultra-Low-Latency Spiking Neural Networks from Scratch

Gourav Datta*

Zeyu Liu*

Peter A Beerel

2024

Towards Efficient Edge Intelligence with In-Sensor and Neuromorphic Computing: Algorithm-Hardware Co-Design

Gourav Datta

2023

Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence

Zihan Yin

Gourav Datta

Md Abdullah-Al Kaiser

Peter Beerel

Ajey Jacob

...

2023/12/5

Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types

arXiv preprint arXiv:2309.08136

Yue Hu

Gourav Datta

Kira Beerel

Peter Beerel

2023/9/15

Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)

Md Abdullah-Al Kaiser

Gourav Datta

Sreetama Sarkar

Souvik Kundu

Zihan Yin

...

2023/6/5

Spiking Neural Networks with Dynamic Time Steps for Vision Transformers

arXiv preprint arXiv:2311.16456

Gourav Datta

Zeyu Liu

Anni Li

Peter A Beerel

2023/11/28

FireFly: A Synthetic Dataset for Ember Detection in Wildfire

Yue Hu

Xinan Ye

Yifei Liu

Souvik Kundu

Gourav Datta

...

2023

Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency

Gourav Datta

Haoqin Deng

Robert Aviles

Zeyu Liu

Peter A Beerel

2023/8/7

ViTA: A Vision Transformer Inference Accelerator for Edge Applications

Shashank Nag

Gourav Datta

Souvik Kundu

Nitin Chandrachoodan

Peter A Beerel

2023/5/21

When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks

arXiv preprint arXiv:2312.06900

Gourav Datta

Zeyu Liu

James Diffenderfer

Bhavya Kailkhura

Peter A Beerel

2023/12/12

FixPix: Fixing Bad Pixels using Deep Learning

arXiv preprint arXiv:2310.11637

Sreetama Sarkar

Xinan Ye

Gourav Datta

Peter A Beerel

2023/10/18

OPEN ACCESS EDITED BY

Community Series-Extremophiles: Microbial Genomics and Taxogenomics, Volume II

José Luis Losada

Asier Gonzalez-Artetxe

Yousri Elghoul

Júlio A Costa

JA Costa

...

2023/11/22

Hoyer regularizer is all you need for ultra low-latency spiking neural networks

arXiv preprint arXiv:2212.10170

Gourav Datta

Zeyu Liu

Peter A Beerel

2022/12/20

ACE-SNN: Algorithm-hardware co-design of energy-efficient & low-latency deep spiking neural networks for 3d image recognition

Frontiers in neuroscience

Gourav Datta

Souvik Kundu

Akhilesh R Jaiswal

Peter A Beerel

2022/4/7

HOYER REGULARIZER IS ALL YOU NEED FOR EXTREMELY SPARSE SPIKING NEURAL NETWORKS

Gourav Datta

Zeyu Liu

Peter Anthony Beerel

2022/9/29

Can deep neural networks be converted to ultra low-latency spiking neural networks?

Gourav Datta

Peter A Beerel

2022/3/14

Self-Attentive Pooling for Efficient Deep Learning

Fang Chen

Gourav Datta

Souvik Kundu

Peter A Beerel

2023

See List of Professors in Gourav Datta University(University of Southern California)

Co-Authors

H-index: 134
Shih-Fu Chang

Shih-Fu Chang

Columbia University in the City of New York

H-index: 39
Peter Beerel

Peter Beerel

University of Southern California

H-index: 31
Ajey Jacob

Ajey Jacob

University of Southern California

H-index: 20
Akhilesh Jaiswal

Akhilesh Jaiswal

University of Southern California

H-index: 13
Souvik Kundu

Souvik Kundu

University of Southern California

H-index: 5
Bo Zhang

Bo Zhang

University of Southern California

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