Supriya Chanda

Supriya Chanda

Research Scholar (2018-2024)

Indian Institue of Technology (BHU), Varanasi

Biography

Supriya Chanda (pronounced as Supriyo), completed his Ph.D in the Department of Computer Science and Engineering, IIT (BHU), Varanasi. He did his research under the guidance of Dr. Sukomal Pal at the Information retrieval lab. His research interests are in the areas of Information Retrival, Natural Language Processing, Machine Learning and Cryptography. Primarily focused around Information retrieval for Indian languages with Code-Mixing. Additionally, he is passionate about applying machine learning techniques for hate-speech detection, sarcasm detection and sentiment analysis. More generally, he is interested in application-oriented research projects with a focus on NLP and Information Retrieval. His scholarly work has been published in top-tier journals and conferences.

Interests
  • Information Retrieval
  • Natural Language Processing
  • Machine Learning
  • Text Processing on Code-Mixed Data
Education
  • Ph.D. in Computer Science and Engineering, 2024

    Indian Institute of Technology (BHU), Varanasi

  • M.Tech. in Computer Science, 2018

    University of Hyderabad, Hyderabad

  • M.Sc. in Computer Science, 2016

    Pondicherry University, Pondicherry

  • B.Sc. in Computer Science, 2014

    Midnapore College, West Bengal

Recent Publications

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(2023). Towards Safer Online Spaces: Deep Learning for Hate Speech Detection in Code-Mixed Social Media Conversations. Websci Companion ‘24: Companion Publication of the 16th ACM Web Science Conference.

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(2023). Catching Lies in the Act: A Framework for Misinformation Detection on Social Media. ACM Hypertext.

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(2023). Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns. ECML PKDD 2023 (Demo).

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(2023). MCG: Mobility-aware Computation Offloading in Edge using Weighted Majority Game. IEEE Transactions on Network Science and Engineering.

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Projects

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Code-Mixed Information Retrieval
Code-mixing, the mixing of lexical items and grammatical features from multiple languages in a single sentence, is prevalent worldwide. With the rise of online social networking, many users converse in their native languages using foreign scripts.
Code-Mixed Information Retrieval
Misinformation detection from social media
Existing methods to detect and to grade misinformation, however, are met with significant challenges and limitations: (I) Static Evaluation: Existing models predominantly use static scoring systems, which prove inadequate due to their failure to adapt to the dynamic nature of social networks.
Misinformation detection from social media
Misinformation detection from social media
Existing methods to detect and to grade misinformation, however, are met with significant challenges and limitations: (I) Static Evaluation: Existing models predominantly use static scoring systems, which prove inadequate due to their failure to adapt to the dynamic nature of social networks.
Misinformation detection from social media
Mobility data analytics
Both analyzing mobility traces and understanding a user’s movement semantics from mobile sensor data are challenging issues in ubiquitous computing systems. With the pervasiveness of sensor technologies, wireless networks and GPS-equipped devices, a huge volume of location information is being accumulated.
Mobility data analytics
Night-time light data analytics
Night-time light (NTL) data has emerged as a valuable source of information for analyzing human activity patterns from the sky. NTL helps in understanding urbanization patterns, economic development, impact of disasters and finding hotspots of excessive night-light utilization.
Night-time light data analytics

Experience

 
 
 
 
 
Indian Institute of Technology (BHU), Varanasi
Research Scholar (Ph.D.)
July 2018 – October 2024 Varanasi, India

Research projects include:

  • One
  • Two
  • Three
 
 
 
 
 
University of Hyderabad
M.Tech Research Scholar
July 2016 – May 2018 Hyderabad, India

Research projects include:

  • One
  • Two
  • Three
 
 
 
 
 
Pondicherry University
M.Sc project
August 2014 – June 2016 Puducherry, India

Research projects include:

  • One
  • Two
  • Three

Recent News!

CMIR-2024
In collaboration with FIRE 2024, we are pleased to announce the call for participation for CMIR-2024, a shared task dedicated to information retrieval from code-mixed social media data.

Recent & Upcoming Talks

LaTex Hands-on Workshop
Understanding the Night-Sky? Developing AI-Enabled System for Exploring Night-Light Usage.

Skills

Natural lanuage processing
Social media data analytics
Python, C, PyTorch

Contact