Ritesh Kumar
Central Scientific Instruments Organisation CSIR, Academy of Scientific and Innovative Research
0000-0003-4284-5311
About
I am a Principal Scientist at CSIR-Central Scientific Instrumentation Organisation, Chandigarh, India (https://www.csio.res.in/) . I was also a Royal Society-Newton Fellow at University of Hertfordshire, UK (https://biomachinelearning.net/).
Research
My research interests and projects revolve around three categories.
1. Understanding Chemical space of odorants: Fragrance and aroma are an essential part of the animal kingdom. Yet, the relationship between the chemical structure of odorants and their percepts remain largely elusive. There are many unanswered questions in this domain in terms of clear identification, differentiation and mathematical definition of the olfactory space. I want to understand the concept of olfactory space, the concept of primaries if at all there is one in this space, and the interaction of physical and receptor space. For this, I intend to use machine learning and neuroscientific techniques. I collaborate with people in neuroscience and mathematics in this research.
2. Odor Source Localisation Techniques: Odor source localisation has been studied extensively in biology, e.g. moth mate seeking, lobster foraging, mosquito host tracking. Research in autonomous, robotic odor localisation has mimicked these behaviours. It is relevant for detecting wildfires, oil spills, industrial gas leaks, and for search and rescue in disaster management etc. I work on designing better algorithms/techniques using existing hardware and different sensing modalities. I collaborate with people from robotics, sensor development in this area.
3. Electronic Nose and Tongue system development: I have a keen interest in electronic nose and tongue system development which can be used for various application such as quality quantification of food items and early diagnosis of plant pest attack. I have worked with various companies in this area.
Employment
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Central Scientific Instruments Organisation CSIR Researcher2011 - Present
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Central Scientific Instruments Organisation CSIR Researcher2011 - Present
Education
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Academy of Scientific and Innovative Research PhD2012 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (64)
- ConfDENSE: A conformer aware electron density based machine learning paradigm for navigating the odorant landscape Save
- A Mixed‐Methods Toolkit for Evidence‐Based Diversity, Equity, and Inclusivity Policy in International Organizations Save
- A Fully In Silico Protocol to Understand Olfactory Receptor–Odorant Interactions Save
- DENSE SENSE : A novel approach utilizing an electron density augmented machine learning paradigm to understand a complex odour landscape Save
- Navigating the Fragrance Space Using Graph Generative Models and Predicting Odors Save
- DENSE SENSE : A novel approach utilizing an electron density augmented machine learning paradigm to understand a complex odour landscape Save
- DENSE SENSE : A novel approach utilizing an electron density augmented machine learning paradigm to understand a complex odour landscape Save
- Deep Learning for Odor Prediction on Aroma-Chemical Blends Save
- Dense Sense: a novel approach utilizing electron density augmented machine learning paradigm to understand the complex odour landscape Save
- Improving Olfactory Receptor Structure Modeling via Hybrid Methods Save