Chaitali Chakrabarti

Chaitali Chakrabarti

Arizona State University

H-index: 52

North America-United States

About Chaitali Chakrabarti

Chaitali Chakrabarti, With an exceptional h-index of 52 and a recent h-index of 24 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of VLSI architectures for signal processing, low power embedded systems.

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

Exploiting 2.5 D/3D Heterogeneous Integration for AI Computing

User-space emulation framework for heterogeneous soc design

Dynamic adaptive scheduling for energy-efficient heterogeneous systems-on-chip and related aspects

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning

PED: Probabilistic Energy-efficient Deadline-aware scheduler for heterogeneous SoCs

Aligning speech enhancement for improving downstream classification performance

System and method for robust neural networking via noise injection

Benchmarking Heterogeneous Integration with 2.5 D/3D Interconnect Modeling

Chaitali Chakrabarti Information

University

Position

Professor of Electrical Engineering SECEE

Citations(all)

10225

Citations(since 2020)

2690

Cited By

8732

hIndex(all)

52

hIndex(since 2020)

24

i10Index(all)

200

i10Index(since 2020)

78

Email

University Profile Page

Arizona State University

Google Scholar

View Google Scholar Profile

Chaitali Chakrabarti Skills & Research Interests

VLSI architectures for signal processing

low power embedded systems

Top articles of Chaitali Chakrabarti

Title

Journal

Author(s)

Publication Date

Exploiting 2.5 D/3D Heterogeneous Integration for AI Computing

Zhenyu Wang

Jingbo Sun

Alper Goksoy

Sumit K Mandal

Yaotian Liu

...

2024/1/22

User-space emulation framework for heterogeneous soc design

2024/1/4

Dynamic adaptive scheduling for energy-efficient heterogeneous systems-on-chip and related aspects

2024/3/28

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Jingtao Li

Xing Chen

Li Yang

Adnan Siraj Rakin

Deliang Fan

...

2024/3/24

PED: Probabilistic Energy-efficient Deadline-aware scheduler for heterogeneous SoCs

Journal of Systems Architecture

Xing Chen

Anish Krishnakumar

Umit Ogras

Chaitali Chakrabarti

2024/2/1

Aligning speech enhancement for improving downstream classification performance

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Yan Xiong

Visar Berisha

Chaitali Chakrabarti

2023

System and method for robust neural networking via noise injection

2023/3/16

Benchmarking Heterogeneous Integration with 2.5 D/3D Interconnect Modeling

Zhenyu Wang

Jingbo Sun

Alper Goksoy

Sumit K Mandal

Jae-Sun Seo

...

2023/10/24

Model extraction attacks on split federated learning

arXiv preprint arXiv:2303.08581

Jingtao Li

Adnan Siraj Rakin

Xing Chen

Li Yang

Zhezhi He

...

2023/3/13

In-Memory Computing for AI Accelerators: Challenges and Solutions

Gokul Krishnan

Sumit K Mandal

Chaitali Chakrabarti

Jae-sun Seo

Umit Y Ogras

...

2023/10/1

Systems and methods for a full-stack obfuscation framework to mitigate neural network architecture theft

2023/12/14

Accelerating Graph Analytics on a Reconfigurable Architecture with a Data-Indirect Prefetcher

arXiv preprint arXiv:2301.12312

Yichen Yang

Jingtao Li

Nishil Talati

Subhankar Pal

Siying Feng

...

2023/1/29

FALCON: An FPGA Emulation Platform for Domain-Specific Systems-on-Chip (DSSoCs)

IEEE Design & Test

Anish Krishnakumar

Hanguang Yu

Tutu Ajayi

A Alper Goksoy

Vishrut Pandey

...

2023/6/30

Runtime task scheduling using imitation learning for heterogeneous many-core systems

2023/12/14

Communications and High-Precision Positioning (CHP2): Hardware Architecture, Implementation, and Validation

Sensors

Hanguang Yu

Andrew Herschfelt

Shunyao Wu

Sharanya Srinivas

Yang Li

...

2023/1/25

End-to-End Benchmarking of Chiplet-Based In-Memory Computing

Gokul Krishnan

Sumit K Mandal

A Alper Goksoy

Zhenyu Wang

Chaitali Chakrabarti

...

2023/6/25

Hilite: hierarchical and lightweight imitation learning for power management of embedded socs

2023/12/7

Proactively predicting dynamic 6G link blockages using LiDAR and in-band signatures

IEEE Open Journal of the Communications Society

Shunyao Wu

Chaitali Chakrabarti

Ahmed Alkhateeb

2023/1/24

Hierarchical coarse-grain sparsity for deep neural networks

2023/4/27

Cyclebite: Extracting Task Graphs From Unstructured Compute-Programs

IEEE Transactions on Computers

Benjamin R Willis

Aviral Shrivastava

Joshua Mack

Shail Dave

Chaitali Chakrabarti

...

2023/10/30

See List of Professors in Chaitali Chakrabarti University(Arizona State University)

Co-Authors

H-index: 103
David Blaauw

David Blaauw

University of Michigan-Dearborn

H-index: 95
Dennis Sylvester

Dennis Sylvester

University of Michigan-Dearborn

H-index: 86
Vijaykrishnan Narayanan

Vijaykrishnan Narayanan

Penn State University

H-index: 78
Trevor Mudge

Trevor Mudge

University of Michigan-Dearborn

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