Bio
Jay Prakash Maurya is a dedicated researcher based in India, with a strong focus on advancing knowledge in the fields of computer science and engineering. His work spans a variety of domains including computer-communication networks, performance of systems, software engineering, programming languages, discrete mathematics, information storage and retrieval, information systems applications, image processing and computer vision, administrative data processing, and logics and meanings of programs. He has contributed to the academic community through publications in notable journals, with a record of 20 international and 5 national papers. His notable works include 'A Proposed Deep Learning Model for Multichannel Ecg Noise Reduction' and 'A Review on Comparative analysis of different clustering and Decision Tree for Synthesized Data Mining Algorithm'. As an Assistant Professor and a peer reviewer for the Global Journal of Computer Science and Technology (GJCST), he actively participates in the scholarly review process, having completed 3 peer reviews. His commitment to research and education continues to drive innovation and academic excellence.
