Dr. Nitika Dhingra | Health Professions | Best Researcher Award
Chitkara University | India
Dr. Nitika Dhingra is an academic and researcher at Chitkara University, Punjab, India, with expertise in machine learning–integrated sensor development, non-destructive spectroscopy, and RF-based sensing technologies. She holds a Ph.D. in Electronics and Communication Engineering from Chitkara University, supported by an M.Tech from Punjabi University and a B.Tech from Punjab Technical University. Her research advances applications in food adulteration detection, construction material classification, and structural health monitoring of heritage sites. She has contributed significantly as a Junior and Senior Research Fellow under a DST-SHRI scheme, focusing on sensor design, embedded systems, and machine learning integration. In 2024, she secured a DST-funded research grant worth 27 Lakhs as Principal Investigator, demonstrating her leadership in high-impact projects. Her scholarly contributions include 12 publications indexed in Scopus, 9 citations across 8 documents, and an h-index of 2, along with several granted and filed patents. She has been honored with the Gandhian Young Technological Innovation Award, DST Senior Research Fellowship, and the Best Paper Presentation Award at ICAMSE, and was a semi-finalist in the DST–Texas Instruments Innovation Challenge. Dr. Nitika Dhingra’s career exemplifies innovation, academic excellence, and impactful contributions to science and technology.
Profile: Scopus
Featured Publications
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Dhingra, N., Saluja, N., Garg, R., & Kanwar, V. (2023). Radio frequency as a non-destructive approach to concrete structure health monitoring. Iranian Journal of Science and Technology, Transactions of Civil Engineering. Cited by: 3.
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Dhingra, N., Ghosh, D., Saluja, N., & Sabapathay, T. (2023). Radio frequency based sensor for adulteration measurement in a continuous two phase-flow of alcoholic beverages. Sensing and Imaging, 24(1), 32. Cited by: 2.
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Dhingra, N., Saluja, N., Kanwar, V., & Garg, R. (2021). Moisture sensitive electrical property measurement in concrete slab with step graded antenna. Materials Today: Proceedings, 45, 5172–5176. Cited by: 2.
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Dhingra, N., & Saluja, N. (2024). RF sensor-based adulterant discriminant estimation in mustard oil. Sensing and Imaging, 25(1), 59. Cited by: 1.
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Dhingra, N., & Saluja, N. (2024). A novel non-destructive technique-based automated classification of construction material using machine learning. Asian Journal of Civil Engineering, 25(1), 805–810. Cited by: 1.
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Geetanjali, Jindal, P., Saluja, N., Kashyap, N., & Dhingra, N. (2023). Design and optimization of wideband RF energy harvesting antenna for low-power wireless sensor applications. Proceedings of International Conference on Data Science and Applications. Cited by: 1.
