IITKGP

Sudeshna Sarkar

Professor

Computer Science and Engineering

+91-3222-283494

sudeshna@cse.iitkgp.ac.in

Research Areas

I work in Artificial Intelligence, Machine Learning and Natural Language Processing. I am interested in applying Artificial Intelligence and Machine Learning methods to different domains. I have been working with Natural Language Processing of Indian languages, information retrieval and recommendation systems and text mining applications. I am interested in using Machine learning methods to tasks related to climate modelling and prediction. I have been interested in doing analytics of mobility data. We have been working on applications in the domain of transportation and logistics.
  • A Survey of the Model Transfer Approaches to Cross-Lingual Dependency Parsing Das A., Sarkar S. By ACM Transactions on Asian and Low-Resource Language Information Processing 19 67.1-67.60 (2020)
  • Tutorial: Concept to code: learning distributed representation of heterogeneous sources for recommendation}, Sonie O., Sarkar S. , Kumar S. By Proceedings of the 12th {ACM} Conference on Recommender Systems, RecSys 531-532 (2018)
  • A deep learning based approach with adversarial regularization for Doppler weather radar ECHO prediction Singh S., Sarkar S. , Mitra P. By 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 5205-5208 (2017)
  • Product Recommendations Enhanced with Reviews Chelliah M., Sarkar S. By Proceedings of the Eleventh ACM Conference on Recommender Systems 398-399 (2017)
  • Recommendation of high quality representative reviews in e-commerce Paul D., Sarkar S. , Chelliah M. , Kalyan C. , Nadkarni P. By Proceedings of the Eleventh ACM Conference on Recommender Systems 311-315 (2017)

Principal Investigator

  • AI/ML Techniques for Online Shopping (Parent Project)
  • AI/ML Techniques for Online Shopping (Sub Project I)
  • Capillary Technologies-IIT Kharagpur Joint R&D Program
  • Connected Numeral Recognition in Indian Language Speech
  • Integrated Information System and Knowledge Discovery Platform for ONGC

Co-Principal Investigator

  • AI for Agriculture and Food Sustainability Ministry of Electronics and Information Technology
  • An Interpretable Unified Framework for Text-to-Text Translation among Indian Languages using Sanskrit-based Interlingua Representation under the project titled National Language Translation Mission (NLTM):BHASHINI Ministry of Electronics and Information Technology

Ph. D. Students

Alapan Kuila

Area of Research: Natural Language Processing

Aniruddha Roy

Area of Research: Natural Language Processing

Anshuman Vatsyayan

Area of Research: Speech Processing

Ayan Maity

Area of Research: Machine Learning

Javed Ali

Area of Research: Reservoir Characterization

Joy Mustafi

Area of Research: Language Technology

Jyoti Kumari

Area of Research: NLP and security

Madiraju Srilakshmi

Area of Research: Machine Learning

Manoranjan Behera

Area of Research: Machine Learning

Namita Bajpai

Area of Research: Artificial Intelligence

Nilanjan Mukherjee

Area of Research: Machine Learning

Russel Aziz

Area of Research: Transportation planning

Shankho Subhra Pal

Area of Research: Computer Vision and machine learning

Soma Bandyopadhyay

Area of Research: Machine Learning

Subhankar Maity

Area of Research: Natural Language Processing

Surajit Dutta Gupta

Area of Research: Natural Language Processing

MS Students

Anindita Mandal

Area of Research: Speech Recognition

Niladitya Debnath

Area of Research: Artificial Intelligence

Sayantan Basu

Area of Research: Natural language processing

Sinchani Chakraborty

Area of Research: Text Mining

Utsav Bandyopadhyay Maulik

Area of Research: Speech and language processing