Rawal Ishaan Singh


Research Area
  • Out-of-Distribution (OoD) Generalisation
  • Computer Vision
  • Multimodal Learning
  • Video Analytics
  • Biology and Healthcare Applications of ML


  • Undergraduate Overseas Research Award by International Programmes and Collaboration Division, BITS Pilani
  • Young Investigator Scholarship Award from UC San Diego School of Medicine for the poster at the COVID-19 Dynamics and Evolution Virtual Conference


  • Zukunftskonzept Stipendium: Internationale Netzwerkuniversit ̈at from Freie University Berlin for pursuing research at the interface of AI and Neuroscience (worth 5,700 USD)
  • INSPIRE Scholarship of Higher Education (INSPIRE-SHE), Department of Science and Technology, Govt. of India, for meritorious academic performance and research (worth 5,300 USD)


1. Rawal, I. S., Sethuraman, A. (2020). Assessing Linked Selection And Long-distance Association of Functional Mutations in SARS-CoV-2 Variants in India. [Online Poster] COVID-19 Dynamics and Evolution Virtual Conference, UCSD

2. Balzer, I., Muhlemann, M., Jokeit, M., Rawal, I. S. et al. (2022). A Deep Learning Pipeline For Automatized Assessment of Spinal MRI. Computer Methods and Programs in Biomedicine Update (Vol. 2, p. 100081). Elsevier BV

3. Shameer, K., Yadav, K. K., [et al, including Rawal, I.] (2022). Drug-food Interactions in the Era of Molecular Big Data, Machine Intelligence, and Personalized Health. In Recent Advances in Food Nutrition & Agriculture (Vol. 13, Issue 1, pp. 27–50). Bentham Science Publishers Ltd