Vinti Agarwal is an assistant professor in the Department of Computer Science and Information Systems at BITS Pilani and leads a GraphAI research group at BITS Pilani, India. Prior to this, She worked as postdoctoral researcher at Norwegian University of Science and Technology (NTNU). She completed Ph.D. in Computer Science from the JawaharLal Nehru University, New Delhi, India and has 7+ years teaching/research experience and has co/supervised 25+ undergraduate, postgraduate and PhD students at NTNU Norway and BITS Pilani. Her research expertise lies in modelling complex data relationships into graphs and using machine learning for predictions or discovering new patterns in data coming from a variety of sources, e.g., social networks, drug repurposing, social determinants of health (SDH), etc. She has published widely in peer- reviewed journals with 10+ peer-reviewed publications and teaches a postgraduate course on graph mining.

Research Domain

• Graph-based semi-supervised learning; Role of LLMs in graph learning
• Design algorithms or models in limited labelled-data settings; Applications in Natural Language processing, image segmentation/classification
• Recommender systems design for networked data
• Knowledge graphs construction from multimodal data (image, text, speech, sensors)
• Predictions by learning multi-relationships using graph spectral theory and graph neural networks

Applications

• COVID-19 Drug Repurposing
  
• Social Health and Text Analysis
  
• Medical Imaging
  

Achievements

• Co-principal investigator of MRFF project from CSIRO, Australia(Aug 2021 – Dec 2022)
• Developed a website CoviRx, curating a database of 7,817 FDA and TGI approved compounds.
• Published articles in MDPI Data, PLOS One, Int J of Mol Sci., IEEE Big Data, IEEE ISBI in past 2 years.
• Recently secured funding of 6.95L for WATCH pilot project from Department of Health Western Australia (Aug 2023- July 2024)
  Media news
  
  

CoviRx was picked up as Cover story: Data, Volume 7, Issue 11, Nov 2022