2026 Kaushik R. Chowdhury: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Electronics and Electrical Engineering	62	1416	1353	583	543	237	19117

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Electronics and Electrical Engineering

1416

1353

583

543

237

19117

Electronics and Electrical Engineering

D-Index

Citations

19117

World Ranking

1416

National Ranking

583

Overview

Kaushik R. Chowdhury is affiliated with Northeastern University in the United States. Their research contributions span multiple fields, primarily focusing on Engineering and Computer Science. Within these broader areas, their work is concentrated notably on Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence, Computer Networks and Communications, and Computer Vision and Pattern Recognition.

Their research covers a variety of topics, including:

Millimeter-Wave Propagation and Modeling
Wireless Signal Modulation Classification
Advanced MIMO Systems Optimization
Indoor and Outdoor Localization Technologies
Radar Systems and Signal Processing
Energy Harvesting in Wireless Networks
UAV Applications and Optimization

Chowdhury has published extensively, contributing to numerous scientific venues. Their frequent publication outlets include:

arXiv (Cornell University)
IEEE Transactions on Mobile Computing
IEEE Communications Magazine
IEEE Transactions on Vehicular Technology
Computer Networks

Notable recent papers authored or co-authored by Chowdhury are:

"Deep Learning for RF Fingerprinting: A Massive Experimental Study", 2020, IEEE Internet of Things Magazine
"More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting", 2020, IEEE Communications Magazine
"RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms", 2020, IEEE Transactions on Vehicular Technology
"Multi-Modality Sensing and Data Fusion for Multi-Vehicle Detection", 2022, IEEE Transactions on Multimedia
"Deep Learning at the Edge for Channel Estimation in Beyond-5G Massive MIMO", 2021, IEEE Wireless Communications

Collaborations are a significant aspect of Chowdhury's research. Frequent co-authors include Debashri Roy, Stratis Ioannidis, Batool Salehi, Nasim Soltani, and Salvatore D'Oro. These collaborations reflect interdisciplinary teamwork across diverse topics aligned with their research interests.

Best Publications

A survey on wireless multimedia sensor networks

Ian F. Akyildiz;Tommaso Melodia;Kaushik R. Chowdhury

3318
Citations
CRAHNs: Cognitive radio ad hoc networks

Ian F. Akyildiz;Won-Yeol Lee;Kaushik R. Chowdhury

1890
Citations
Help from the Sky: Leveraging UAVs for Disaster Management

Milan Erdelj;Enrico Natalizio;Kaushik R. Chowdhury;Ian F. Akyildiz

1019
Citations
Wireless multimedia sensor networks: A survey

I.F. Akyildiz;T. Melodia;K.R. Chowdury

775
Citations
A survey on MAC protocols for cognitive radio networks

Claudia Cormio;Kaushik R. Chowdhury

628
Citations
Design Optimization and Implementation for RF Energy Harvesting Circuits

P. Nintanavongsa;U. Muncuk;D. R. Lewis;K. R. Chowdhury

533
Citations
Wireless Multimedia Sensor Networks: Applications and Testbeds

I.F. Akyildiz;T. Melodia;K.R. Chowdhury

471
Citations
The Future of Human-in-the-Loop Cyber-Physical Systems

G. Schirner;D. Erdogmus;K. Chowdhury;T. Padir

421
Citations
Search: A routing protocol for mobile cognitive radio ad-hoc networks

K. R. Chowdhury;M. D. Felice

370
Citations
Deep Learning Convolutional Neural Networks for Radio Identification

Shamnaz Riyaz;Kunal Sankhe;Stratis Ioannidis;Kaushik Chowdhury

355
Citations
Cognitive Wireless Mesh Networks with Dynamic Spectrum Access

K.R. Chowdhury;I.F. Akyildiz

327
Citations
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks

Kunal Sankhe;Mauro Belgiovine;Fan Zhou;Shamnaz Riyaz

316
Citations
CRP: A Routing Protocol for Cognitive Radio Ad Hoc Networks

K R Chowdhury;I F Akyildiz

294
Citations
Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting

Amani Al-Shawabka;Francesco Restuccia;Salvatore D'Oro;Tong Jian

266
Citations
Spectrum management in cognitive radio ad hoc networks

I. Akyildiz;Won-Yeol Lee;K. Chowdhury

252
Citations
Smart RF energy harvesting communications: challenges and opportunities

Deepak Mishra;Swades De;Soumya Jana;Stefano Basagni

249
Citations
Common control channel design for cognitive radio wireless ad hoc networks using adaptive frequency hopping

Claudia Cormio;Kaushik R. Chowdhury

242
Citations
Deep Learning for RF Fingerprinting: A Massive Experimental Study

Tong Jian;Bruno Costa Rendon;Emmanuel Ojuba;Nasim Soltani

212
Citations
RF-MAC: A Medium Access Control Protocol for Re-Chargeable Sensor Networks Powered by Wireless Energy Harvesting

M. Yousof Naderi;Prusayon Nintanavongsa;Kaushik R. Chowdhury

204
Citations
No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments

Kunal Sankhe;Mauro Belgiovine;Fan Zhou;Luca Angioloni

203
Citations
RF energy harvester-based wake-up receiver

K Kaushik;Deepak Mishra;Swades De;Jun-Bae Seo

116
Citations

Frequent Co-Authors

Luciano Bononi University of Bologna

Tommaso Melodia Northeastern University

Stefano Basagni Northeastern University

Dharma P. Agrawal University of Cincinnati

Ian F. Akyildiz Technology Innovation Institute

Wendi Heinzelman University of Rochester

Eduard Alarcon Universitat Politècnica de Catalunya

Milica Stojanovic Northeastern University

Yonina C. Eldar Weizmann Institute of Science

Mehmet C. Vuran University of Nebraska–Lincoln

External Links

Personal website of Kaushik R. Chowdhury Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring related online degrees can open up flexible and accelerated learning opportunities. Many reputable institutions offer online courses with online colleges starting soon, allowing students to begin their studies without long wait times.

If you're looking for quick upskilling options, consider 6 month certificate programs that pay well. These programs can complement your engineering knowledge and boost your employability in high-demand fields.

For professionals who prefer focused, independent work environments, technical roles in electronics and electrical engineering often align well with high paying jobs for introverts. Understanding the landscape of such careers can help you tailor your learning path and job search.

Additionally, combining engineering expertise with project management skills is a powerful strategy. The fastest online project management degree options enable professionals to quickly gain credentials that expand leadership opportunities and project oversight roles within engineering sectors.