Dr. Gagan Raj Gupta

Research Interest

Sustainable Living: Learning design and skills that are highly productive, harmonious to nature and last a long time! Eco-products that can be made in small scale industries, don't pollute the environment and are ethically made with local raw materials.(Video Channel).
Education Research: Personalized and Adaptive Learning methodologies, New assessment framework for project based learning
Multi-modal Learning and Medical devices for Opthalmology, Dermatology, Dentistry and Community Health, Virtual Surgical Planning.
Occupational and General Safety: For manufacturing Industries, homes and various occupations based on computer vision.
Systems Research: Integrated Planning and Operational Intelligence for Steel Industry, Farm Planning software, Digital twin of industries and farms, Village planning, Water systems design, Integrated farming.
Theory Research:Low Complexity Algorithms with Performance Guarantees

I run the Simple Sustainable Systems: S³ research lab. You can find more details of our projects on lab page. We also conduct workshops to train volunteers to become effective teachers. Our AI workshop conducted for schools emphasized nurturing natural intelligence of students: AI Workshop

Academic Background

PhD, ECE, Purdue University (2009)
MS, CS, University of Wisconsin, Madison (2006)
BTech, CSE, IIT Delhi (2005)

Professional Experience

Lead Architect, AT&T Labs, San Ramon, USA (2016-2020)
Principal Member of Technical Staff, AT&T Labs, San Ramon, USA (2013-2016)
Senior Member of Technical Staff, AT&T Labs, San Ramon, USA (2010-2013)
Postdoctoral Research Associate, Parallel Programming Laboratory, UIUC (2009-2010)
Summer Intern, IBM Laboratory, New Delhi(2004)

Books

DATA ANALYTICS AND VISUALIZATION, Gagan Raj Gupta and Naresh Nagwani, PHI (Order from PHI ) (Google Books Page ) (Order from Amazon )
Helping School Teachers to Teach and Students to Learn ( Free Instructional Booklets on Natural, Chemical-Free Organic Farming, Yoga and Middle School Science and Mathematics )

Training and Workshops

Helping Teachers to Teach and Students to Learn Data Science( Free Workshop Materials)

Teaching

CSL100: Introduction to Computer Programming (Monsoon 2026, Monsoon 2025) (Webpage)
DSL506: Deep Learning for Computer Vision (Monsoon 2024) (Webpage)
DSP505: Programming for Data Science and AI (Monsoon 2024) (Webpage)
CS 559: Computer Systems Design (Monsoon 2026, 2022-W, 2024-W) (Webpage) (Canvas Link)
CS 550: Machine Learning (2022-M, 2023-M) (Webpage)
DS 603: Advanced Machine Learning (2023-W) (Canvas Link)
DS 507: Edge ML (2023-S) (Canvas Link)
DS 250: Data Analytics and Visualization (2020-M Archive), 2022-W, 2023-W 2025-W, 2026-W: The course is being taught based on my textbook and materials will be made available for the general public. Visit webpage for details Companion Website for the Book with lecture slides, practice problems and GATE preparation materials
DS 503: Advanced Data Analytics (2021-M) (Webpage) (Canvas Link)
DS 200: Architecture for Management of Large Datasets (2021-M) (Webpage)
EE 777: Mobile Communication Systems (2020-M with Dr. Arzad and Anand) (Archive)

Academic Service

TPC member for Wi-opt 2021 The Web Conference 2026
Reviewer for following Journals: IEEE/ACM ToN , IEEE IoT , IEEE TNSE
Reviewer for MICCAI 2024 conference, ACM CODS-COMAD 2024, ICASSP 2025 conference
Reviewer for MICCAI 2025 conference, ACM KDD 2024, 2025, AAAI 2025, AISTATS 2026 conference
Reviewer for MICCAI 2026 conference, ICML 2026
Selected as an outstanding reviewer for ACM KDD 2025
Judge at SIH 2023

Selected Publications

View citations of my papers at: Google Scholar

Medical Imaging Papers

Aayushman, Hemant, Vidhi, Manisha and Gagan Raj Gupta , “Fair and Accurate Skin Disease Image Classification using Alignment with Clinical Text Representations”, MICCAI 2024. Early Accept Paper (amongst the top 11% of 2869 papers submitted).
Prakanshul Saxena, Gagan Raj Gupta, Madhur Bhattad, “MULTIMODAL AND MULTITASK APPROACHES FOR CATARACT GRADING”, CODS-COMAD 2024 (Paper)

ML Systems Papers

TechING: Towards Real World Technical Image Understanding via VLMs, Tafazzul Nadeem, Bhavik Shangari, Manish Rai, Gagan Raj Gupta, Ashutosh Modi, EACL 2026.
Autograder+: A Multi-Faceted AI Framework for Rich Pedagogical Feedback in Programming Education, Vikrant Sahu, Gagan Raj Gupta, Raghav Borikar, Nitin Gautam Mane, CODS 2025.
HistoLens: An Interactive XAI Toolkit for Verifying and Mitigating Flaws in Vision-Language Models for Histopathology, Sandeep Vissapragada, Vikrant Sahu, Gagan Raj Gupta, Vandita Singh, CODS 2025.
Process Integrated Computer Vision for Real-Time Failure Prediction in Steel Rolling Mill, Vaibhav Kurrey, Sivakalyan Pujari, Gagan Raj Gupta, CODS 2025.
Multivariate Time Series Data Mining for Failure Prediction & Root Cause Analysis, Naman Agarwal, Gagan Raj Gupta, Vishwesh Jatala, Aniket Saha, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Suryanarayana Yarrabothula, Vaibhav Kurrey, Mayank Nagar, Gagan Raj Gupta, “Industrial Safety Violation Detection using Action Recognition", CODS-COMAD 2024, IIT Jodhpur.
Anshul Kumar, Gagan Raj Gupta, Sunny Kumar, Ankita Sahu, Apu Chakraborty, “What does your Packet Capture say?", CODS-COMAD 2024, IIT Jodhpur.
Gagan Raj Gupta, Dhruv Deshmukh, Vishwesh Jatala, “Tutorial: Distributed Graph Neural Networks", CODS-COMAD 2024, IIT Jodhpur.
Shaziya Islam, Gagan Raj Gupta, “MultiChannel and Multiple Device Financial Frauds Detection", CODS-COMAD 2024, IIT Jodhpur.
Manisha Chawla, Gagan Raj Gupta, Shreyas Gaddam and Manas Wadhwa, “Beyond Federated Learning for IoT: Efficient Split Learning with Caching & Model Customization”, IEEE IOT Journal (Code) (Paper)
Dhruv Deshmukh, Gagan Raj Gupta, Manisha Chawla, Vishwesh Jatala and Anirban Haldar, “Entropy aware training for Fast and Accurate Distributed GNN”, ICDM 2023 (Code) (Paper)
Gagan Raj Gupta, Soumajit Pramanik, Milind Thummala, Anirban Haldar, “Improved Representations using Augmented Graphs”, CODS-COMAD 2024 (Paper)
Manas Wadhwa, Gagan Raj Gupta, Ashutosh Sahu, Rahul Saini and Vidhi Mittal, “PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients”, CCGRID 2023 conference. (Paper) (Code)
Manohar Lal Das, Vishwesh Jatala, and Gagan Raj Gupta, “Joint Partitioning and Sampling Algorithm for Scaling Graph Neural Networks”, 29th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2022. (Paper)

Time Series Analysis Papers

Suraj Kumar, Gagan Raj Gupta, Roodra Pratap Singh Parihar "Fast Anomaly Detection For Multivariate Industrial Time Series Data" 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Raj, Aniket, Pramit Bhattacharyya, and Gagan Raj Gupta. "Clusters of COVID-19 Indicators in India: Characterization, Correspondence and Change Analysis." SN Computer Science 3, no. 3 (2022): 210. (Paper)

Low Complexity Algorithms with Performance Guarantees

Prarabdh Shukla, Gagan Raj Gupta and Kunal Dutta, “DiffRed: Dimensionality Reduction guided by stable rank”, AISTATS 2024. (Code) (Paper)

PATENTS GRANTED

"A HAND HELD OPERATIONAL FUNDUS IMAGING DEVICE" Patent No.: 488290. Issued: Dec 22, 2023
"AN ARTIFICIAL INTELLIGENCE TECHNOLOGY BASED CATARACT GRADING SYSTEM", Patent No.: 500416. Issued: Jan 17, 2024

Journal Papers

Y. Sang, Gagan Raj Gupta, and B. Ji, “Node-based Service-Balanced Scheduling for Provably Guaranteed Throughput and Evacuation Time Performance,” IEEE Transactions on Mobile Computing (TMC), vol. 17, no. 8, pp. 1938-1951, 2018.
B. Ji, Gagan Raj Gupta, M. Sharma, X. Lin, and N. B. Shroff, “Achieving Optimal Throughput and NearOptimal Asymptotic Delay Performance in Multi-Channel Wireless Networks with Low Complexity: A Practical Greedy Scheduling Policy,” IEEE/ACM Transactions on Networking (ToN), vol. 23, no. 3, pp. 880-893, 2015
B. Ji, Gagan Raj Gupta, X. Lin, and N. B. Shroff, “Low-Complexity Scheduling Policies for Achieving Throughput and Asymptotic Delay Optimality in Multi-Channel Wireless Networks,” IEEE/ACM Transactions on Networking (ToN), vol. 22, no. 6, pp. 1911-1924, 2014.
Gagan Raj Gupta and Ness B. Shroff, "Delay Analysis and Optimality of Scheduling policies for multi-hop Wireless Networks", IEEE/ACMTransactions on Networking, 2010.
Gagan Raj Gupta and Ness B. Shroff, "Delay Analysis for Wireless Networks with Single Hop Traffic and General Interference Constraints", IEEE/ACM Transactions on Networking, vol. 18, no. 2, pp. 393-405, April 2010.
Gagan Raj Gupta and Ness B. Shroff, "Practical Scheduling Schemes with Throughput Guarantees for Multi-hop Wireless Networks", in Elsevier Computer Networks Journal, Volume 8 , Issue 2, March 2010, pp. 148-164, 2010.
Gagan Raj Gupta and Parmesh Ramanathan, "Opportunistic Sensing and Collaboration for Level Set Estimation", Ad Hoc and Sensor Wireless Networks Journal, Issue 6, 215-237, 2008.
K.V. Pagalthivarthi, A. Mittal, P. Goyal and Gagan Raj Gupta, "Applications of improved SVM framework in modeling in mechanics", CAMES, 14: 509-523, 2007.
Steven Baker, Udatta Palekar, Gagan Gupta, Laxmikant Kale, Akhil Langer, Mark Surina, Ramprasad Venkataraman, “Parallel Computing for DoD Airlift Allocation”, MITRE Techinal Report, 2010

Conference Papers

G. Sallam, Gagan Raj Gupta, B. Li, and B. Ji, “Shortest Path and Maximum Flow Problems Under Service Function Chaining Constraints,” Proceedings of IEEE INFOCOM 2018, Honolulu, HI, April 2018.
B. Ji, G. R. Gupta, and Y. Sang, “Node-based Service-Balanced Scheduling for Provably Guaranteed Throughput and Evacuation Time Performance,” to appear in IEEE INFOCOM 2016, San Francisco, CA, April 2016.
Xiaolin Cheng, Gagan Raj Gupta, Prasant Mohapatra,“Joint Carrier Aggregation and Packet Scheduling in LTE-Advanced Networks”, SECON 2013.
Bo Ji, Gagan Raj Gupta, Xiaojun Lin, Ness B Shroff, “Performance of Low Complexity Scheduling Policies in Multi-Channel Wireless Networks: Optimal Throughput and Near-Optimal Delay”, INFOCOM 2013.
Gagan Raj Gupta, Gengbin Zheng, Eric Bohm, Isaac Dooley, and Laxmikant V. Kale, “Simulating Large Scale Parallel Applications using Statistical Models for Sequential Execution Blocks”, ICPADS 2010.
Abhinav Bhatele, Gagan Raj Gupta, I-Hsin Chung and Laxmikant V. Kale, “Automated Mapping of Structured Communication Graphs onto Mesh Interconnects”, HIPC 2010.
Gagan Raj Gupta, Sujay Sanghavi and Ness B. Shroff, "Node Weighted Scheduling", ACM SIGMETRICS'09 , Seattle, USA, June 2009.
Gagan Raj Gupta, Sujay Sanghavi and Ness B. Shroff, "Workload optimality in switches without arrivals", workshop on MAthematical performance Modeling and Analysis, MAMA’09, Seattle, USA, June 2009.
Gagan Raj Gupta and Ness B. Shroff, "Delay Analysis for multi-hop Wireless Networks", IEEE INFOCOM'09, Rio de Janeiro, Brazil, Apr. 2009.
Gagan Raj Gupta and Ness B. Shroff, "Scheduling with queue length guarantees for shared resource systems", ACM SIGMETRICS'08, Annapolis, MD, June 2008.
Gagan Raj Gupta and Parmesh Ramanathan, "Distributed algorithm for level set estimation using uncoordinated mobile sensors", in Proceedings of GLOBECOM'07,Washington DC, Nov. 2007.
Gagan Raj Gupta, Madhur Gupta and Preeti Ranjan Panda, "Rapid Estimation of Control Delay from HighLevel Specifications", Design Automation Conference, San Francisco, CA, July 2006.

Invited Papers

Akhil Langer, Ramprasad Venkataraman, Gagan Raj Gupta, Laxmikant Kale, Udatta Palekar, Steven Baker, and Mark Surina. 2011. Poster: “Enabling massive parallelism for stochastic optimization”, SuperComputing 2011.
Gagan Raj Gupta, Sujay Sanghavi and Ness B. Shroff, "Is it enough to schedule heavy bottlenecks?"Allerton Conference, Allerton, USA, Oct 2009.
Gagan Raj Gupta and Ness B. Shroff, "Delay Analysis of Scheduling Policies in Wireless Networks", Asilomar Conference on Signals, Systems, and Computers, Oct. 2008.
Gagan Raj Gupta and Ness B. Shroff, "Expected Delay Analysis for Constrained Queuing Systems", INFORMS Annual Meeting, Washington D.C. Oct. 2008.
Gagan Raj Gupta, "Delay efficient control policies for wireless networks", ITA Graduation Day Talk (nominated to represent Purdue at ITA-Workshop 2009).

Students

Ph.D
1. Surya Y. : Action Recognition based Industrial Safety Violation Detection
2. Kalyan: Physics Informed Digital Twin Architecture for Steel Quality Prediction
3. Vikrant Sahu: Multimodal Cognitive Assessment Framework
4. Manisha Chawla: Fairness in Federated Learning
M.Tech
1. Shivam, Anshul (Current)
2. Raghav Borikar, Sandeep Vissapragada (Graduated in 2026)
3. Manish Rai, Moyank Giri (Graduated in 2025)
4. Manisha Chawla, Rudra Pratap (Graduated in 2024)
5. Suraj Kumar, Anirban Haldar (Graduated in 2023)
6. Manohar (Graduated in 2022)
B.Tech
1. Chirag (Graduated in 2025)
2. Prarabdh (Graduated in 2024)
3. Prakanshul (Graduated in 2023)
4. Milind, Ashutosh Sahu (Graduated in 2022)

Collaborations

Edge Institute, Ohio State University, USA
Synergistic Networking and Augmented Intelligence Lab (SNAIL), Virginia Tech, USA
Dr. Kunal Dutta, University of Warsaw, Poland
Radcom, Tel-Aviv, Israel
Deductive.AI, CA, USA
Orangewood Labs, Noida, India
MonoEdge Systems, Pune, India

Recent Invited Talks

"Some new results on Dimensionality Reduction" at online workshop "(Quant Hub): Exploring Math, Stats, ML in Data Science", NIT Hamirpur, from 15-19 May 2024.
"Graph Neural Networks for Legal Document Processing" at "(AI Powered Justice (NyAI) Workshop): ", NIT Kurukshetra, from November 6-10, 2023.
" Predictive Maintenance in Manufacturing" at "(Smart Manufacturing Research Conclave): ", IIT Gandhinagar, April 28, 2023.
Enabling Deep Learning on IoT Devices, Keynote talk at First International Conference on Data Science and Advanced Computing (ICDSAC 2023), May 2023.
Federated Learning, FDP on recent trends in AI & ML, VIT, Sep 12, 2023
Federated Learning, FDP on Applications of AI in Wireless Communication and Sensor Networks, 2022
Data Analysis and Visualization, FDP, 2021

Dr. Gagan Raj Gupta

Associate Professor, CSE

Associate HoD, Mechatronics

Coordinator, Unnat Bharat Abhiyan

Office: Agastya Building (ED1)- Room 412