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Prof. Dr.K. Ch. Kishor Kumar
APID: 3588
capProfessor at Gudlavalleru Engineering College Gudlavalleru, Andhra Pradesh
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My Biography

Dr. K Ch kishor Kumar is a Professor in the More Department of Mechanical Engineering, Seshadri Rao Gudlavalleru Engineering College, been working since 1999. He received his Master’s degree and Ph.D degree from Jawaharlal Nehru Technological University Kakinada, Kakinada. His area of interest is the characterization, Design of Experiments, Regression analysis, ANN modeling and optimization of tribological parameters of metal matrix composites. He has published 23 papers in international journals and presented 8 papers at various conferences, out of which 3 SCI and 5 Scopus papers. He is a Reviewer for silicon (Springer) journal and an editorial board member for another 5 journals. He has published one patent. He is invited as a speaker at BioL-BioS 2023, Paris, France. He has completed 2 In-house R&D projects sponsored by GEC. He got selected for the Best Researcher Award of the ITSR Foundation Award-2023.

Area Of Expertise

Optimization of tribological parameters of composites,

Area of Intrest

ANN modeling, DOE, REgression analysis, metal matrix composie charecterization

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My Peers always eager to discuss and promote their research with me.

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Sukanta Sarkar

I am a researcher with an interest in contributing to a deeper understanding of social issues. Human Read More behaviour is often characterized by deviations from perfect rationality and influenced by numerous factors that cloud the researcher’s view of underlying causalities. The majority of my current research applies field and lab-in-the-field experiments to test insights from classical and behavioural economics in the contexts of economic development and the design of innovation contests,
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Numbers, Algebraic Number Theory, Group Theory, Matrix Theory, Graph ΤheoryPure MathematicsSet Read More Theory
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ANBUMANI ARUMUGAM

Happy Morning !!!
Thank you very much for being a Reviewer in your STM journal “Journal of Image Read More Processing & Pattern Recognition Progress”.
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Material Science

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