Prannaya Gupta
Scholar

Prannaya Gupta

Google Scholar ID: SYflkiQAAAAJ
Researcher, AETHER by RAiD
ai safetyhuman-ai interactioncognitive modellingcomputer vision
Citations & Impact
All-time
Citations
23
 
H-index
2
 
i10-index
1
 
Publications
6
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - Developed WalledEval, a comprehensive and publicly-available Python library for LLM safety evaluation.
  • - Designed an Android Application that uses AI algorithms including Support Vector Machines and Convolutional Neural Networks (CNNs) to predict Freezing of Gait (FoG) for post-Parkinson's Disease treatment.
  • - Developed a multi-stage algorithm to process astronomical light curves for signs of abnormalities indicative of tertiary influence.
Research Experience
  • - Serving as an AI Researcher at RSAF Agile Innovation Digital (RAiD), leading the Cognitive Superiority and AETHER AI Agents (A3) Teams.
  • - Leading an innovation team developing human-machine interfaces to enhance RSAF-wide console-based operations.
  • - Working with Glenn Wu and Sohan Singh on investigating research methods to monitor cognitive states of controllers via psychophysiological monitors such as EEG and eye-tracking data.
  • - Developing a centralized next-generation training system with Ethan Chew, Darius Koh, Ian Lim, and Brandon Koh.
  • - Developing decision support systems for training and operations purposes with Kaleb Nim, Galen Tay, and Jonathan Koong.
  • - Co-leading a small team working on developing agentic AI-based solutions to optimize the lab's general finance, manpower, and logistics operations with Nicholas Lee, Dillion Lim, and Nistelrooy Lim.
  • - Deployed a basic MVP VSCode Extension for RAiDers using basic LLM-based Multi-Agent Systems with Cheong Sik Feng and Tew En Hao.
  • - Conducted research in the domain of Air Traffic Control transcription, authoring a research paper comparing and fine-tuning various Whisper models against a self-collected dataset with Marcus Wee and Lynus Lim.
  • - Developed a modular search framework and Python library for taxonomy definition and search implementation purposes with Tew En Hao and Nicholas Lee.
Education
  • Graduated from NUS High School of Math and Science.
Background
  • Recent graduate of the NUS High School of Math and Science. Currently serving National Service at RSAF Agile Innovation Digital (RAiD) as an AI Researcher, and also serving as the Youth Community Lead at better.sg.
Miscellany
  • Interests include programming and technology, previously served as the Overall-in-Charge at BuildingBloCS and the president of NUS High's computing club, AppVenture.