Uday Pratap Singh
Central University of Jammu, Shri Mata Vaishno Devi University, IIT Guwahati
About
Dr. Uday Pratap Singh, graduated in Mathematics from Dr. Ram Manohar Lohiya (Awadh) University, Ayodhya (U.P.) in 1998. Dr. Singh obtained his first M.Sc. degree in Mathematics & Statistics (Gold Medalist) in 2000, from Dr. Ram Manohar Lohiya (Awadh) University, Ayodhya, U.P. and Second M.Sc. degree in Mathematics & Computing from Indian Institute of Technology, Guwahati. He also qualified CSIR (NET) in 2007 and later he received his Ph.D. Degree in Computer Science from Barkatullah University, Bhopal, in 2013. Dr Singh, is currently working as an Associate Professor in the School of Mathematics, Shri Mata Vaishno Devi University, Katra, India from 17th August 2018. He published/presented around 150 research papers in reputed International/National Journals and Conferences, 03 Books and 17 Book Chapters on Nonlinear Dynamics, Soft Computing and Image Processing etc. Also, he organized FDP, International/National Conferences and Workshops. My area of research includes Nature Inspired Algorithms, Soft Computing, Intelligent Control Systems, Non-linear Systems and Image Processing etc. He is managing editor, associate editor and reviewer in various reputed journals and conferences. Also, he have life membership of the Computer Society of India (CSI), Bharata Ganita Parishad (BGP) and IAENG, IAPS, SRCS and member of IEEE.
Employment
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Central University of Jammu Associate Professor2023 - Present
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Shri Mata Vaishno Devi University Associate Professor2018 - 2023
Education
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IIT Guwahati M.Sc.
Projects & Funding
Projects & funding information is unavailable.
Publications (53)
- Applications of equi-statistical convergence and Korovkin-type theorem Save
- Stock price forecasting based on the relationship among Asian stock markets using deep learning Save
- Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview Save
- Hybrid neural network control of uncertain switched nonlinear systems with bounded disturbance Save
- Hybrid neural network controller for uncertain nonlinear discrete-time systems with non-symmetric dead zone and unknown disturbances Save
- Hybrid neural network control design for uncertain switched nonlinear systems with external disturbances: Application to ship maneuvering system Save
- Neuro‐fuzzy Elman wavelet control for nonlinear uncertain systems with fuzzy input and unknown fuzzy disturbances: Application to robotics Save
- Hybrid neural network control for nonlinear continuous time systems with time delays and dead zone input Save
- Hybrid neural network model for reconstruction of occluded regions in multi-gait scenario Save
- Applications of statistical convergence of order (η, δ + γ) in difference sequence spaces of fuzzy numbers Save