Dr. S. P. Santhoshkumar
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Rathinam Technical Campus, Anna University, Anna University of Technology
About
Dr. S. P. Santhoshkumar received the Bachelor's Degree in Electronics and Communication Engineering from Anna University, Chennai in 2006, the Master's Degree in Software Engineering from Anna University of Technology, Coimbatore in 2011, and the Philosophy of Doctorate degree in Information and Communication Engineering from Anna University, Chennai in 2024, respectively. He is currently working as an Assistant Professor (SG) at the Department of Computer Science and Engineering, School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai. His research areas include Machine Learning, Cloud Computing, Deep Learning, Software Engineering and Web Development. He has quality of publications to his credit, including Journal Articles, Conference Publications, Patents, Books and Book Chapters. Also, he received best faculty awards in national level.
Employment
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Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Assistant Professor (SG)2024 - Present
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Rathinam Technical Campus Assitant Professor2017 - 2024
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Shree Sathyam College of Engineering and Technology, Sankari Assitant Professor2015 - 2017
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SNS College of Technology Assitant Professor2013 - 2014
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P. A. College of Engineering and Technology Assitant Professor2011 - 2013
Education
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Anna University Ph.D.2018 - 2024
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Anna University of Technology M.E.2009 - 2011
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V.L.B.Janakiammal College of Engineering and Technology B.E.2002 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (235)
- Artificial Intelligence in Library Management Save
- Ethical AI-Orchestrated Carbon-Aware Workload Placement in Cloud–Edge Continuum Save
- Automating the Thinking Process Save
- Advanced Sleep Health Analytics Leveraging Deep Learning and Lifestyle Dynamics Save
- Decision Algorithm for Computation Off-loading using Context Aware Approach Save
- DeepFaceAttend: Real-Time Attendance Automation using CNN and Multi-Scale Strip Feature Extraction Save
- Next-Generation AI Architecture for Real-Time Hazard Prediction and Safety Optimization in Mining Systems Save
- Ontology based Semantic Approach Topic Modelling using LDA Save
- StripFusion-Net: Adaptive Spatial Feature Learning for Real-Time VR/AR Scene Analysis Save
- Sustainable UX Design: Optimizing Front-End Interfaces for Energy Efficiency and Green Computing Save