Dr. RITESH KUMAR

Principal Scientist, Centre of Excellence for Intelligent Sensors and Systems (ISenS)

Machine Learning, Data Science

Current Work Area

Among major sensory modalities, the physical stimulus attributes to perception mapping is more or less well defined in vision and audition, but not in olfaction. Although, the molecular concentration to perceived odor intensity mapping has been established, there is no known general systematic relationship of molecular properties onto the olfactory percept. In other words, it has been a challenge to predict the smell of a novel molecule by its physicochemical structure, or the physicochemical structure of a novel smell. My work aims at discovering inherent statistical structure in large chemical and perceptual databases available online in order to derive principles for predicting odor perception from the chemical structure of odorants. It will test the explanatory possibilities of this novel perspective, and will contribute new sources and fresh approaches to the fields of modern data analysis and olfaction science. I also work in using social network models for optimization of artificial organoleptic systems(electronic tongue and nose). I am also actively involved in developing human interaction based evolutionary algorithms.

Qualification

R&D Interest

Stastical analysis of odorant databases. Data Science. Machine Learning. Application of network models,Social Network Analysis such as twitter sentiment analysis etc. Evolutionary Optimization. Intelligent Instrumentation.

Research Publications

1. SAURABH SUMAN, KUMAR RITESH, KUMAR NITESH. Dynamics of SARS-CoV-2 Transmission Among Indian Nationals Evacuated From Iran. Disaster medicine and public health preparedness. 22-10-2020, , 1-7
2. SAURABH SUMAN, KUMAR RITESH. Prolonged persistence of SARS-CoV-2 in the upper respiratory tract of asymptomatic infected individuals. QJM: An International Journal of Medicine. 01-08-2020, 113(8), 556-560
3. CHOWDHURY SHAMBO ROY, BHONDEKAR AMOL P, KUMAR RITESH, BAGCHI SUDESHNA, KAUR RISHEMJIT. Analysis of a Novel Circuit Arrangement to Suppress Crosstalk in 2-D Resistive Sensor Arrays. Circuits Systems and Signal Processing . 07-09-2019, 39, 1227–1243
4. SINHA ABHINAV, KUMAR RITESH, KAUR RISHEMJIT, BHONDEKAR AMOL P. Consensus-Based Odor Source Localization by Multiagent Systems. IEEE Transactions on Cybernetics. 16-07-2019, 50(7), 3254-3263
5. CHOWDHURY SHAMBO ROY, BHONDEKAR AMOL P, KUMAR RITESH, BAGCHI SUDESHNA, KAUR RISHEMJIT, KARAR VINOD. Circuit arrangement to suppress crosstalk in chemo-resistive sensor arrays. IET Science Measurement & Technology. 01-11-2018, 12(8), 1039 - 1046
6. KUMAR ANMOL, SAXENA JYOTI, KUMAR RITESH, KAUR RISHEMJIT. MAI Mitigation in MC-CDMA Systems Using Social Impact Based Wireless Communication Algorithm. Wireless Personal Communications. 01-08-2018, 101(3), 1765–1786
7. BHALLA SHERRY, CHAUDHARY KUMARDEEP, KUMAR RITESH, SEHGAL MANIKA, KAUR HARPREET, SHARMA SURESH, RAGHAVA GAJENDRA P. S.. Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer. Scientific Reports. 28-03-2017, 7, 44997
8. KIM KI HYUN, DEEP AKASH, KWON EILHANN E., BHONDEKAR AMOL P, KAUR RISHEMJIT, KUMAR RITESH. Performance of Air Fresher System for the Removal of Various Odorants Released from Foodstuffs. Acta Anaesthesiologica Scandinavica. 01-03-2017, 11(1), 37-53
9. KUMAR SAURAV, BAGCHI SUDESHNA, PRASAD SENTHIL, SHARMA ANUPMA, KUMAR RITESH, KAUR RISHEMJIT, SINGH JAGVIR, BHONDEKAR AMOL P. Bacteriorhodopsin–ZnO hybrid as a potential sensing element for low-temperature detection of ethanol vapour. Beilstein Journal of Nanotechnology. 04-04-2016, 7, 501-510
10. CHAUDHARY KUMARDEEP, KUMAR RITESH, SINGH SANDEEP, TUKNAIT ABHISHEK, GAUTAM ANKUR, MATHUR DEEPIKA, ANAND PRIYA, VARSHNEY GRISH C., RAGHAVA GAJENDRA P. S.. A Web Server and Mobile App for Computing Hemolytic Potency of Peptides.. Scientific Reports. 08-03-2016, 6, Article No. 22843
11. SARKAR SANKHO TURJO, BHONDEKAR AMOL P, MACAS MARTIN, KUMAR RITESH, KAUR RISHEMJIT, SHARMA ANUPMA, GULATI ASHU, KUMAR AMOD. Towards Biological Plausibility of Electronic Noses: A spiking Neural Network Based Approach for Tea Odour Classification. Neural Networks. 02-11-2015, 71, 142–149
12. KUMAR RITESH, KAUR RISHEMJIT, AUFFARTH BENJAMIN, BHONDEKAR AMOL P. Understanding the Odour Spaces: A Step towards Solving Olfactory Stimulus-Percept Problem. PLoS One. 20-10-2015, ,
13. MACAS MARTIN, BHONDEKAR AMOL P, KUMAR RITESH, KAUR RISHEMJIT, KUZILEK JAKUB, LHOTSKA LENKA, KAPUR PAWAN. Binary social impact theory based optimization and its applications in pattern recognition. Neurocomputing. 20-05-2014, 132, 85-96
14. KAUR RISHEMJIT, KUMAR RITESH, BHONDEKAR AMOL P, KAPUR PAWAN. Human opinion dynamics: An inspiration to solve complex optimization problems. Scientific Reports. 21-10-2013, 3, Article No. 3008
15. SAURABH SUMAN, KUMAR RITESH. Global reduction in measles mortality. The Lancet. 01-10-2012, 380(9850), 1303-1304
16. KUMAR RITESH, BHONDEKAR AMOL P, KAUR RISHEMJIT, VIG SARU, SHARMA ANUPMA, KAPUR PAWAN. A simple electronic tongue. Sensors and Actuators B-Chemical. 01-09-2012, 171-172, 1046–1053
17. KAUR RISHEMJIT, KUMAR RITESH, GULATI ASHU, GHANSHYAM C, KAPUR PAWAN, BHONDEKAR AMOL P. Enhancing electronic nose performance: A novel feature selection approach using dynamic social impact theory and moving window time slicing for classification of Kangra orthodox black tea (Camellia sinensis (L.) O. Kuntze). Sensors and Actuators B-Chemical. 01-05-2012, 166-167, 309–319
18. BHONDEKAR AMOL P, KAUR RISHEMJIT, KUMAR RITESH, VIG R, KAPUR PAWAN. A novel approach using Dynamic Social Impact Theory for optimization of impedance-Tongue (iTongue). Chemometrics and Intelligent Laboratory Systems. 01-11-2011, 109(1), 65-76

Patents

Patent(s) Filed


Significant recognition: Awards, Honours and Fellowships

Other Information

Technology (Developed/Transfered/Commercialised) / Software Applications, Algorithms designed/developed/deployed and implemented

Ritesh Kumar, Rishemjit Kaur, Amol P Bhondekar. An open source library (SITOLib) for mathematical optimization feature extraction available at http://mloss.org/software/view/457/.

Contact



Email:

riteshkr[at]csio[dot]res[dot]in

Telephone:




Color styles