Sri Venkata Durga Sudarsan Madhyannapu
Dr. RVR NRI Institute of Technology Deemed to be University, Pothavarappadu Village, Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC) (Under Siddhartha Academy of Higher Education)
0009-0001-2126-6428
About
Sri Venkata Durga Sudarsan Madhyannapu is an Associate Professor in the Department of Mathematics, School of Science, Humanities and Management at Dr. RVR NRI Institute of Technology (Deemed to be University), Pothavarappadu Village, Agiripalli Mandal 521212, Vijayawada Rural, Andhra Pradesh, India, and is currently pursuing a part-time Ph.D. in Mathematics at Jawaharlal Nehru Technological University, Kakinada.
His research interests include periodic matrix differential systems, controllability theory, Lyapunov and Sylvester matrix equations, and Kronecker product methods. He also works on neural network-based computational methods and singular perturbation analysis, with applications to dynamical systems and machine learning.
His publications include peer-reviewed journal articles, Scopus-indexed conference papers, SSRN preprints, book chapters, and Indian patents covering both theoretical and interdisciplinary applied research. ORCID-linked records provide official verification links for these research outputs.
His research focuses on developing advanced mathematical and computational methods for the analysis and control of complex dynamical systems.
Employment
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Dr. RVR NRI Institute of Technology Deemed to be University, Pothavarappadu Village ASSOCIATE PROFESSOR2025 - Present
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Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC) (Under Siddhartha Academy of Higher Education) ASSISTANT PROFESSOR2007 - 2025
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Sir C.R. Reddy P.G. Courses Lecturer2004 - 2007
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Kakaraparti Bhavanarayana College Lecturer2003 - 2004
Education
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Jawaharlal Nehru Technological University, Kakinada Ph.D. (Pursuing)
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Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC) (Under Siddhartha Academy of Higher Education) M.Sc., M.Phil.
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- Melnikov-based observability breakdown in singular bilinear periodic matrix differential systems Save
- Adaptive Physics-Informed Neural Networks for Singular Matrix Differential Systems with Applications to Optimal Control Synthesis Save
- An Efficient Adjoint-Free Melnikov–Lyapunov Diagnostic for Transition Detection in Slow–Fast Chemical Reaction Networks Save
- Equivalence of Hewer and Kalman Controllability for Sylvester Matrix Periodic Systems Save
- Equivalence of Hewer and Kalman Controllability for Sylvester Matrix Periodic Systems Save
- Kalman–Hewer observability equivalence and spectral energy bounds for generalised bilinear matrix periodic systems Save
- Melnikov-Based Observability Breakdown in Singular Bilinear Periodic Matrix Differential Systems Save
- An efficient adjoint-free Melnikov–Lyapunov diagnostic for transition detection in slow–fast chemical reaction networks Save
- A Machine Learning-Enhanced DNA Nanotechnology Approach for Cancer Diagnosis and Targeted Therapy Save
- Hewer Controllability And Kalman Controllability of Lyapunov Matrix Periodic Systems Save