Manickam S | Artificial Intelligence and Machine Learning | Research Excellence Award

Mr. Manickam S | Artificial Intelligence and Machine Learning | Research Excellence Award

Assistant Professor | Saveetha Engineering College | India

Mr. Manickam S is an emerging researcher in Artificial Intelligence and Machine Learning, with focused contributions spanning data analytics, secure systems, intelligent networks, and applied AI for real-world optimization. His scholarly output includes peer-reviewed journal and international conference publications addressing graph-based road network optimization, learning-assisted pathfinding, and cryptographic multi-server authentication using elliptic curve digital signatures. His research demonstrates strong integration of machine learning algorithms with networking, security, and intelligent transportation systems. Mr. Manickam S has an active innovation portfolio, with multiple Indian patents published and granted in domains such as IoT-enabled robotics, smart agriculture, edge-AI energy monitoring, cloud-integrated IoT resource allocation, solar panel automation, and AI-driven healthcare analytics. His work reflects a translational R&D orientation, emphasizing scalable, deployable intelligent systems. According to Google Scholar, he has 8 citations across 3 research documents with an h-index of 1. He has received recognition for academic innovation and contributes to the research ecosystem through conference participation, interdisciplinary AI research, and technology-driven problem solving.

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Featured Publications

Secure multi server authentication system using elliptic curve digital signature
– IEEE ICCPCT Conference Proceedings, 2016 | Citations: 8

Optimizing Road Networks: A Graph-Based Analysis with Path-finding and Learning Algorithms
– International Journal of Intelligent Transportation Systems Research, 2024

Asif Muzaffar | Artificial Intelligence and Machine Learning | Research Excellence Award

Dr. Asif Muzaffar | Artificial Intelligence and Machine Learning | Research Excellence Award

Teaching Fellow | Birmingham City University | United Kingdom

Dr. Asif Muzaffar is a recognized researcher in Operations and Supply Chain Management, known for advancing quantitative modelling, sustainable operations, and digital supply chain innovation. With 816 citations, 45 documents, an h-index of 16, and an i10-index of 17, his scholarly influence is reflected through publications in leading journals, including Sustainable Production and Consumption, Sustainable Development, Operations Management Research, Technological Forecasting & Social Change, International Journal of Disaster Risk Reduction, and the Journal of Services Marketing. His research portfolio encompasses 21 peer-reviewed journal papers, multiple conference contributions, and ongoing works addressing dynamic pricing, newsvendor models, sustainable procurement, and consumer behavior in digital environments. Dr. Asif Muzaffar’s contributions span supply chain contracts, institutional pressures, triple bottom line sustainability, rebate mechanisms, and technology-enabled service innovations such as AR/VR. His work often integrates simulation modelling, optimization, and game-theoretic frameworks to generate actionable insights for resilient, low-carbon, and digitally enabled supply chain systems. He has disseminated his findings at major international conferences, contributing evidence-based perspectives on biased decision-making, rebate coordination, and supply chain optimization. His research leadership extends to mentoring graduate research, shaping sustainable supply chain methodologies, and contributing as a reviewer for high-impact journals including Technological Forecasting & Social Change and Sustainable Development. Through these scholarly contributions, Dr. Asif Muzaffar has established himself as an influential voice in contemporary sustainable operations and supply chain research.

Citation Metrics (Google Scholar)

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View Scopus Profile   View ORCID Profile   View Google Scholar   View ResearchGate

Featured Publications