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Dr. Gagan Raj Gupta


Associate Professor, CSE
Associate HoD, Mechatronics
Chairman, Health Centre
Office: Agastya Building (ED1)- Room 412
Department of Computer Science and Engineering
Indian Institute of Technology (IIT), Bhilai
EMAIL: gagan[AT]iitbhilai.ac.in

  Research Interest

  • ML Systems: Large Language Models for Networks, Distributed Graph Neural Networks, Federated/Split Learning with low resource IoT devices (Telecom LLM).
  • Activity-Based Learning: Designing activities to teach physics, mathematics, communication skills, computing, chemistry, biology to school students. (Video Channel).
  • Multi-modal Learning and Medical Probes for Opthalmology, Dermatology, Dentistry
  • Automated Root Cause Analysis using Time Series and/or Videos: For manufacturing Industries, Using EdgeML, Automated Surveillance, Operating Large Scale Software Systems
  • Low Complexity Algorithms with Performance Guarantees
I run the S3 research lab. You can find more details of our projects on lab page. We are looking for highly motivated PhD students to work in areas of Multi-modal learning, ML Systems, Automation/Cobotics, Medical Imaging and Devices . If you are interested, please email me and apply to IIT Bhilai PhD. program. Project staff and 6-month internships are also open. No short-term internships are currently available. I am a founding director of NetrAI, with a mission to bring quality health care to every neighborhood by developing novel medical diagnostic devices. We also conduct workshops to train volunteers to become effective teachers.

  Academic Background

  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)

  Teaching

  • DSL506: Deep Learning for Computer Vision (Monsoon 2024) (Webpage)
  • DSP505: Programming for Data Science and AI (Monsoon 2024) (Webpage)
  • CS 559: Computer Systems Design (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: The course will be taught using the activity based learning approach. Visit webpage for details
  • 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)
  • ML Systems Design
  • Medical Imaging

  Academic Service

  Selected Publications

  • View citations of my papers at: Google Scholar
      • Medical Imaging Papers
    1. 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).
    2. Prakanshul Saxena, Gagan Raj Gupta, Madhur Bhattad, “MULTIMODAL AND MULTITASK APPROACHES FOR CATARACT GRADING”, CODS-COMAD 2024 (Paper)
      3. ML Systems Papers
    3. Suryanarayana Yarrabothula, Vaibhav Kurrey, Mayank Nagar, Gagan Raj Gupta, “Industrial Safety Violation Detection using Action Recognition", to appear at CODS-COMAD 2024, IIT Jodhpur.
    4. Anshul Kumar, Gagan Raj Gupta, Sunny Kumar, Ankita Sahu, Apu Chakraborty, “What does your Packet Capture say?", to appear at CODS-COMAD 2024, IIT Jodhpur.
    5. Gagan Raj Gupta, Dhruv Deshmukh, Vishwesh Jatala, “Tutorial: Distributed Graph Neural Networks", to appear at CODS-COMAD 2024, IIT Jodhpur.
    6. Shaziya Islam, Gagan Raj Gupta, “MultiChannel and Multiple Device Financial Frauds Detection", to appear at CODS-COMAD 2024, IIT Jodhpur.
    7. 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)
    8. 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)
    9. Gagan Raj Gupta, Soumajit Pramanik, Milind Thummala, Anirban Haldar, “Improved Representations using Augmented Graphs”, CODS-COMAD 2024 (Paper)
    10. 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)
    11. 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)
      12. Time Series Analysis Papers
    12. 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)
    13. 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)
      14. Low Complexity Algorithms with Performance Guarantees
    14. Prarabdh Shukla, Gagan Raj Gupta and Kunal Dutta, “DiffRed: Dimensionality Reduction guided by stable rank”, AISTATS 2024. (Code) (Paper)
    PATENTS GRANTED
    1. "A HAND HELD OPERATIONAL FUNDUS IMAGING DEVICE" Patent No.: 488290. Issued: Dec 22, 2023
    2. "AN ARTIFICIAL INTELLIGENCE TECHNOLOGY BASED CATARACT GRADING SYSTEM", Patent No.: 500416. Issued: Jan 17, 2024
    Journal Papers
    1. 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.
    2. 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
    3. 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.
    4. Gagan Raj Gupta and Ness B. Shroff, "Delay Analysis and Optimality of Scheduling policies for multi-hop Wireless Networks", IEEE/ACMTransactions on Networking, 2010.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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
    1. 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.
    2. 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.
    3. Xiaolin Cheng, Gagan Raj Gupta, Prasant Mohapatra,“Joint Carrier Aggregation and Packet Scheduling in LTE-Advanced Networks”, SECON 2013.
    4. 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.
    5. 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.
    6. Abhinav Bhatele, Gagan Raj Gupta, I-Hsin Chung and Laxmikant V. Kale, “Automated Mapping of Structured Communication Graphs onto Mesh Interconnects”, HIPC 2010.
    7. Gagan Raj Gupta, Sujay Sanghavi and Ness B. Shroff, "Node Weighted Scheduling", ACM SIGMETRICS'09 , Seattle, USA, June 2009.
    8. 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.
    9. Gagan Raj Gupta and Ness B. Shroff, "Delay Analysis for multi-hop Wireless Networks", IEEE INFOCOM'09, Rio de Janeiro, Brazil, Apr. 2009.
    10. Gagan Raj Gupta and Ness B. Shroff, "Scheduling with queue length guarantees for shared resource systems", ACM SIGMETRICS'08, Annapolis, MD, June 2008.
    11. 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.
    12. 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
    1. 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.
    2. Gagan Raj Gupta, Sujay Sanghavi and Ness B. Shroff, "Is it enough to schedule heavy bottlenecks?"Allerton Conference, Allerton, USA, Oct 2009.
    3. Gagan Raj Gupta and Ness B. Shroff, "Delay Analysis of Scheduling Policies in Wireless Networks", Asilomar Conference on Signals, Systems, and Computers, Oct. 2008.
    4. Gagan Raj Gupta and Ness B. Shroff, "Expected Delay Analysis for Constrained Queuing Systems", INFORMS Annual Meeting, Washington D.C. Oct. 2008.
    5. 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. Santosh Kumar Singh
    2. Surya Y.
    3. Kalyan
  • M.Tech
    1. Manish Rai, Moyank Giri (Entry year 2023)
    2. Manisha Chawla, Rudra Pratap (Entry year 2022)
    3. Suraj Kumar, Anirban Haldar (Graduated in 2023)
    4. Manohar (Graduated in 2022)
  • B.Tech
    1. Chirag (Entry year 2021)
    2. Prarabdh (Entry year 2020)
    3. Prakanshul (Graduated in 2023)
    4. Milind, Ashutosh Sahu (Graduated in 2022)

  Sponsored Research Projects

  • AI based automatic Cataract Grading. Project Fund: ~27 Lacs. Funding Agency: HDFC. 2021-23.
  • Smart Devices for Health care. Project Fund: ~12 Lacs. Research Initiation Grant, IIT Bhilai, 2023-26.
  • Digital Transformation System For Pre-Failure Alert Generation For Equipment Failture & Cobble Reduction Based on Data Analytics And Video Analytics at BRM . Project Fund: 4.3 Crore, Bhilai Steel Plant, 2023-25 (PI).
  • Data Analytics and AI for Telecom. Project Fund: USD $320 K , Radcom Inc., 2021-25 (PI).

  Collaborations

    We encourage students to spend time at other institutes/labs across the world to gain exposure and collaborate on problems of mutual interest.
  • 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

  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

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I am pleased to extend my greetings to students and their parents as well as colleagues near and far. IIT Bhilai was established on 7 August 2016. We are located in Chhattisgarh, the rice bowl of India, in a state rich in natural resources as well as cultural memory and heritage. Read More

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