2026 Chaitali Chakrabarti: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	52	5127	4987	2361	2281	342	9809
Electronics and Electrical Engineering	52	2543	2439	969	907	337	9665

Research.com Recognitions

2012 - IEEE Fellow For contributions to low power embedded system design and to very large scale integration architectures for signal processing

Overview

Chaitali Chakrabarti is affiliated with Arizona State University in the United States. Their research spans across computer science and engineering, with a particular focus on electrical and electronic engineering, hardware and architecture, and artificial intelligence.

The scientist's work covers multiple fields and subfields including:

Computer Science
Engineering
Electrical and Electronic Engineering
Hardware and Architecture
Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition

The main topics of Chakrabarti's research involve:

Parallel Computing and Optimization Techniques
Advanced Memory and Neural Computing
Millimeter-Wave Propagation and Modeling
Embedded Systems Design Techniques
Ferroelectric and Negative Capacitance Devices
Adversarial Robustness in Machine Learning
Privacy-Preserving Technologies in Data

Chakrabarti has published extensively in notable venues. Frequent publication outlets include:

arXiv (Cornell University)
IEEE Journal of Solid-State Circuits
IEEE Design and Test
ACM Transactions on Embedded Computing Systems
IEEE Open Journal of the Communications Society

Some recent papers authored by or involving Chakrabarti include:

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
An 8.93 TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity for On-Device Speech Recognition, 2020, IEEE Journal of Solid-State Circuits
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration, 2022, IEEE Open Journal of the Communications Society
T-BFA: Targeted Bit-Flip Adversarial Weight Attack, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems, 2022, 2022 IEEE Wireless Communications and Networking Conference (WCNC)

Chakrabarti collaborates regularly with several frequent coauthors, including:

Ümit Y. Ogras
Jingtao Li
Jae-sun Seo
Sumit K. Mandal
Shunyao Wu

In 2012, Chakrabarti was named an IEEE Fellow for contributions to low power embedded system design and to very large scale integration architectures for signal processing.

Best Publications

A VLSI architecture for lifting-based forward and inverse wavelet transform

K. Andra;C. Chakrabarti;T. Acharya

515
Citations
SODA: A Low-power Architecture For Software Radio

Yuan Lin;Hyunseok Lee;Mark Woh;Yoav Harel

326
Citations
Efficient realizations of the discrete and continuous wavelet transforms: from single chip implementations to mappings on SIMD array computers

C. Chakrabarti;M. Vishwanath

311
Citations
OuterSPACE: An Outer Product Based Sparse Matrix Multiplication Accelerator

Subhankar Pal;Jonathan Beaumont;Dong-Hyeon Park;Aporva Amarnath

277
Citations
Memory exploration for low power, embedded systems

Wen-Tsong Shiue;Chaitali Chakrabarti

267
Citations
Architectures for wavelet transforms: A survey

Chaitali Chakrabarti;Mohan Vishwanath;Robert M. Owens

240
Citations
A Distributed Canny Edge Detector: Algorithm and FPGA Implementation

Qian Xu;Srenivas Varadarajan;Chaitali Chakrabarti;Lina J. Karam

221
Citations
A System Level Energy Model and Energy-Quality Evaluation for Integrated Transceiver Front-Ends

Ye Li;B. Bakkaloglu;C. Chakrabarti

205
Citations
A high-performance JPEG2000 architecture

K. Andra;C. Chakrabarti;T. Acharya

196
Citations
A Survey on Lifting-based Discrete Wavelet Transform Architectures

Tinku Acharya;Chaitali Chakrabarti

185
Citations
Energy-efficient dynamic task scheduling algorithms for DVS systems

Jianli Zhuo;Chaitali Chakrabarti

135
Citations
SODA: A High-Performance DSP Architecture for Software-Defined Radio

Y. Lin;H. Lee;M. Woh;Y. Harel

133
Citations
From SODA to scotch: The evolution of a wireless baseband processor

Mark Woh;Yuan Lin;Sangwon Seo;Scott Mahlke

129
Citations
AnySP: anytime anywhere anyway signal processing

Mark Woh;Sangwon Seo;Scott Mahlke;Trevor Mudge

128
Citations
A low power scheduling scheme with resources operating at multiple voltages

A. Manzak;C. Chakrabarti

122
Citations
Product Code Schemes for Error Correction in MLC NAND Flash Memories

Chengen Yang;Y. Emre;C. Chakrabarti

117
Citations
Static task-scheduling algorithms for battery-powered DVS systems

P. Chowdhury;C. Chakrabarti

117
Citations
Low-power scheduling with resources operating at multiple voltages

Wen-Tsong Shine;C. Chakrabarti

117
Citations
A Super-Pipelined Energy Efficient Subthreshold 240 MS/s FFT Core in 65 nm CMOS

Dongsuk Jeon;Mingoo Seok;C. Chakrabarti;D. Blaauw

110
Citations
Systolic architectures for the computation of the discrete Hartley and the discrete cosine transforms based on prime factor decomposition

C. Chakrabarti;J. Jaja

110
Citations
Variable voltage task scheduling algorithms for minimizing energy

Ali Manzak;Chaitali Chakrabarti

85
Citations
AnySP: Anytime Anywhere Anyway Signal Processing

M. Woh;Sangwon Seo;S. Mahlke;T. Mudge

65
Citations

Frequent Co-Authors

Trevor Mudge University of Michigan–Ann Arbor

Yu Cao University of Minnesota

Thomas F. Wenisch University of Michigan–Ann Arbor

Scott Mahlke University of Michigan–Ann Arbor

David Blaauw University of Michigan–Ann Arbor

Jae-sun Seo Cornell University

Ronald G. Dreslinski University of Michigan–Ann Arbor

Naehyuck Chang Korea Advanced Institute of Science and Technology

Shimeng Yu Georgia Institute of Technology

J. Brian Fowlkes University of Michigan–Ann Arbor

External Links

Wikipedia of Chaitali Chakrabarti Personal website of Chaitali Chakrabarti Google Scholar page

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