Research output per year
Research output per year
Personal profile
Biography
Ravi Kumar Jha, currently a third-year Ph.D. researcher at Ulster University’s School of Computing, Engineering, and Intelligent Systems, delves deep into the realm of quantum-enhanced algorithms for brain data analysis. A University of Delhi alumnus, Ravi graduated with a Bachelor’s in Mathematical Sciences, securing the commendable second rank. Further enriching his academic journey, he earned an M.Sc. with distinction in Applied Mathematics from South Asian University, New Delhi. His professional engagements have seen him at the forefront of research, from being a Research Intern at Universiti Teknologi Malaysia to a Project Scientist at India’s esteemed INCOIS. With a keen interest in quantum computing, machine learning, and applied mathematics,
Ravi’s contributions have been recognised with significant accolades, including a best paper award and the prestigious Vice-Chancellor’s Research Scholarship from Ulster University.
Research Interests
Quantum computing, Quantum-enhanced algorithm, Applied & computational mathematics, Modeling and numerical simulations, Data analysis & visualization.
PhD Researcher Profile
Quantum-enhanced algorithms for brain-inspired data sets.
Current and Recent Grants
VCRS, Ulster University.
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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Collaborations and top research areas from the last five years
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Performance Analysis of Quantum-Enhanced Kernel Classifiers Based on Feature Maps: A Case Study on EEG-BCI Data
Jha, R. K., Kasabov, N., Coyle, D., Bhattacharyya, S. & Prasad, G., 21 Aug 2024, (Accepted/In press). 13 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile241 Downloads (Pure) -
Quantum-Enhanced Feature Maps for Improved Quantum Kernels and Advanced Quantum Machine Learning Application
Jha, R. K., Kasabov, N., Bhattacharyya, S., Coyle, D. & Prasad, G., 6 May 2024, (Published online).Research output: Contribution to conference › Poster › peer-review
Open AccessFile45 Downloads (Pure) -
Generation and Assessment of ARGO Sea Surface Temperature Climatology for the Indian Ocean Region
Jha, R. K. & Bhaskar, T. V. S. U., 30 Jun 2023, In: Oceanologia. 65, 2, p. 343-357 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)1 Downloads (Pure) -
A deep artificial neural network architecture for mesh free solutions of nonlinear boundary value problems
Aggarwal, R., Ugail, H. & Jha, R. K., 13 May 2021, In: Applied Intelligence. 52, 1, p. 916-926 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Citations (Scopus)3 Downloads (Pure) -
Optimal parameters for generation of gridded product of Argo temperature and salinity using DIVA
Jha, R. K. & Udaya Bhaskar, T. V. S., 18 Aug 2021, (Published online) In: Journal of Earth System Science. 130, 3, 170.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)