IITKGP

Niloy Ganguly

Professor

Computer Science and Engineering

+91-3222-283460

niloy@cse.iitkgp.ac.in

Responsibilities

  • Chairperson, Centre of Excellence in Artificial Intelligence

Research Areas

Niloy Ganguly is a professor of computer science, IIT Kharagrpur and a Fellow of Indian National Academy of Engineering who works in three different but related  fields: (1) Online Social networks, (2) Network Theory, (3) machine learning. He was a Visiting Professor in Leibnitz University of Hannover for two years for the period 2021 - 2022.  Prior to his current position as a faculty at Indian Institute of Technology, Kharagpur, India, he was working as a Research Scientist in Zentrum für Hochleistungsrechnen, Technische Universität Dresden for two years. He received his Ph.D from IIEST, Shibpur and BTech from IIT Kharagpur.
He is a part of  a very active research group CNeRG (Complex Network Research Group) http://cnerg.org in IIT Kharagpur. He has been collaborating with various national and international universities and research lab including UIUC, TU Dresden, Germany, MPI PKS and MPI SWS, Germany, Microsoft Lab, Adobe Labs, HP Labs, NetApp Labs etc. He currently publishes in various top ranking international journals and conferences including ICDM, ACL, WWW, INFOCOM, SIGIR, SIGKDD, SIGCHI, ICWSM, CSCW, NIPS CCS, PODC,  Euro Physics Letters, Physical Review E, ACM and IEEE Transactions, etc. For further information on Dr. Ganguly, please visit his website: http://www.facweb.iitkgp.ac.in/~niloy/.
  • CrysXPP: An explainable property predictor for crystalline materials Das K., Samanta B., Goyal P., Lee S.-C., Bhattacharjee S., Ganguly N. By npj Computational Materials 8 - (2022)
  • Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations Patro G. K., Chakraborty A. , Ganguly N. , Gummadi K. P. By 34th AAAI Conference on Artificial Intelligence (AAAI) 181-188 (2020)
  • Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations Patro G. K., Chakraborty A. , Ganguly N. , Gummadi K. P. By 34th AAAI Conference on Artificial Intelligence (AAAI) 181-188 (2020)
  • Optimizing the Recency-Relevancy Trade-off in Online News Recommendations Chakraborty A., Ganguly N. , Gummadi K. P., Ghosh S. By Proc. World Wide Web conference (WWW) 837-846 (2017)
  • Optimizing the Recency-Relevancy Trade-off in Online News Recommendations Chakraborty A., Ganguly N. , Gummadi K. P., Ghosh S. By Proc. World Wide Web conference (WWW) 837-846 (2017)

Principal Investigator

  • A Novel Framework to Compress Multimodal Dialogue Contexts and Identify User Satisfaction Index
  • AI/ML Techniques for Online Shopping (Parent Project)
  • AI/ML Techniques for Online Shopping (Sub Project IV)
  • Anomaly Detection using Logs
  • Behavior Modeling in Multi-sensor Environments - Integrating Environment Sensing, Human Sensing and Social Sensing for Rich Insights
  • Computational Aspects and Role of Content for Persuasive Brand Positioning
  • Customizing Compatibility and Introducing Diversity during Complete Outfit Generation
  • Efficiently Managing Storage Space in IOT (Internet of Things)
  • FinTalk: A Collaborative Platform for Extracting Highlights and Summaries from Financial Documents via Continuous Curation,Evaluation and Feedback
  • Identifying topical experts on twitter
  • Leveraging bipartite network to investigate the dynamical properties of socio-technical systems
  • Prediction of Properties of Materials
  • Property Preserving Data Gradation for Autonomous Vehicle Data
  • Real Time Failure Prediction System
  • Towards sustainable AI models: Accessing LLMs efficiently
  • Understanding and Predicting Opinion Dynamics In Collective Environment Using Deep Network Representation
  • Unrestricted grant for research in social networks and user-generated content

Co-Principal Investigator

  • Architecting Radically Human Processes and Applications Accenture LLP (www.accenture.com)
  • Google Unrestricted Fund for Social Computing GOOGLE INDIA PRIVATE LIMTED
  • Identifying the Differences between the Large Language Model and Human-Generated Texts to Facilitate Responsible AI MICROSOFT INDIA (R and D) PRIVATE LIMITED
  • Model Development for Storage System Troubleshooting and Workload Characterization NetApp India Private Limited
  • Question Answering over Climate Technology Papers INDO KOREA SCIENCE AND TECHNOLOGY CENTER
  • Social computing for e-commerce FLIPKART INTERNET PRIVATE LIMITED
  • Unrestricted research grant in social computing MICROSOFT CORPORATION
  • Unrestricted Travel Grant Various Institutes/Organisations

Ph. D. Students

Abhilash Nandy

Area of Research: Information Retrieval

Anupam Khan

Area of Research: Machine Learning

Arijit Nag

Area of Research: Social Networks

Gourab Kumar Patro

Area of Research: Machine Learning

Gunjan Balde

Area of Research: Privacy and Health Analytics

Kishalay Das

Area of Research: Graphs and ML

Mainak Chaudhury

Area of Research: Machine Learning, NLP

Manjish Pal

Area of Research: Network Science

Paramita Koley

Area of Research: Machine Learning, Network Science

Samik Datta

Area of Research: Learning on Graphs

Shravan Kumar Singh

Area of Research: ML + IR

Shreyas S

Area of Research: Learning on Graphs

Soumyadeep Roy

Area of Research: Machine Learning

Subhendu Khatuya

Area of Research: Natural Language Processing

MS Students

Nibir Pal

Area of Research: Computer Networks

Soumya Sharma

Area of Research: Natural Language Processing