Peeyush Singhal

Peeyush.singhal.phd2019@sitpune.edu.in

Education

Peeyush received the Bachelor of Technology and Master of Technology degrees from the Indian Institute of Technology Bombay (IIT Bombay). He has over two decades of experience in software engineering, technology consulting, and data science and engineering. He is currently a Doctor of Philosophy (Ph.D.) Scholar at the Symbiosis Institute of Technology, Symbiosis International University, Pune, India and is part of Symbiosis Centre for Applied AI (SCAAI)

Research

Peeyush’s research interest includes domain adaptation and its applications in various research tasks. His other interests lie in Fairness in AI, Robustness.

Research topic: Domain Adaptation in Deep Networks

Brief description - Deep Neural Networks (DNNs) trained on one dataset (source domain) do not perform well on another set of data (target domain), which is different but has similar properties as the source domain. Domain Adaptation (DA) strives to alleviate this problem and has great potential in its application in practical settings, real-world scenarios, industrial applications and many data domains. Research aims to offer to understand new methods and applications of domain adaptation.

Publications

Google Scholar

  • P Singhal, R Walambe, S Ramanna, K Kotecha IEEE Access, vol. 11, pp. 6973-7020, 2023, doi: 10.1109/ACCESS.2023.3237025.

  • A Taneja, P Singhal US Patent 10,038,667, 2018
    • about scri

    Symbiosis Centre For Research and Innovation (SCRI), established in 2009, is the dedicated department of Symbiosis International (Deemed University) for promoting and facilitating research among students and faculty. Through its academic and administrative services, SCRI enables researchers to achieve excellence in their work, and eventually, translates SIU's vision of creation of knowledge for the benefit of the Society into reality.