Personal profile
Research Interests
Artificial Intelligence, Machine Intelligence, Bio and Nature inspired Algorithms, Healthcare, Energy.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 17 Partnerships for the Goals
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Dive into the research topics where Rajesh Kumar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A climate-informed dengue transmission model with Bayesian decision support
Harjule, P., Harshit, Ramola, D., Kumar, R. & Nkomozepi, P., Apr 2026, In: Acta Tropica. 276, 108037.Research output: Contribution to journal › Article › peer-review
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A Harmonized Multi-Source Dataset with Baseline Deep Learning Validation for Staging Diabetic Retinopathy
Delu, M., Harjule, P., Kumar, R. & Gajjar, K., Feb 2026, In: International Journal of Mathematical, Engineering and Management Sciences. 11, 1, p. 130-147 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A hybrid integer-Caputo fractional order dengue transmission model: Parameter optimization and empirical study with real-world data
Harjule, P., Harshit & Kumar, R., May 2026, In: Mathematics and Computers in Simulation. 243, p. 339-361 23 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
BAYES-GAIT: A Bayesian Deep Neural Network for Continuous Gait Reference Trajectory Generation Using an Enhanced Loss Function
Singh, B., Patel, S., Vijayvargiya, A., Kumar, R. & Gehlot, N., 2026, In: IEEE Access. 14, p. 32146-32157 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Gait rehabilitation outcomes with EksoNR: an exploratory study comparing progressive vs. non-progressive neurological impairments
Vijayvargiya, A., Langan, R., Byrne, D., Kumar, R. & Moran, K., 2026, (Accepted/In press) In: Disability and Rehabilitation.Research output: Contribution to journal › Article › peer-review