Scholar
Ritesh Kumar
Google Scholar ID: ls5bkwsAAAAJ
Principal Scientist, CSIR-CSIO, Associate Professor-AcSIR, Royal Society - NIF,
Citations & Impact
Citations
1,982
H-index
16
i10-index
24
Publications
20
Co-authors
12
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
- Artificial Intelligence Powered Solutions for Animal Health Analytics: This project aims to leverage the advancement in efficient sensor deployment coupled with artificial intelligence to monitor, analyze, and forecast animal health in real-time.
- Algorithm Development for Bee Detection in Beehives in Indian Scenario: Using AI to train technology to identify and categorize various insects and bee species through analyzing images or videos of their physical attributes, facilitating swift and precise monitoring of populations in their natural habitats.
- Understanding Chemical Space of Odorants: Studying the relationship between the chemical structure of odorants and their percepts using machine learning and neuroscientific techniques.
- Predicting Human Olfactory Perception from Chemical Features of Odor Molecules: Understanding the concept of olfactory space and the interaction of physical and receptor space.
- Odor Source Localization Techniques: Working on designing better algorithms/techniques using existing hardware and different sensing modalities for autonomous, robotic odor localization.
Background
- Ritesh Kumar is currently working as a Principal Scientist with CSIR-Central Scientific Instruments Organisation, Chandigarh. He is passionate about Statistical Analysis and Machine Intelligence, responsible for teaching Data Science and Machine Learning (both applications and theory), Data Structures and Algorithm Analysis, Introduction to Computing, and Compiler Design.
