Dr.Rajkumar.S.C
Anna University of Technology Madurai, Anna University, Chennai, Velammal Engineering College, Adhiparasakthi Engineering College
About
Dr. Rajkumar S C is a highly accomplished individual with a strong background in Computer Science and Engineering. Currently, I hold the position of a Teaching Fellow at Anna University Regional Campus Madurai. My academic journey includes a B.E., M.E., and Ph.D. in Computer Science and Engineering, showcasing my dedication to knowledge acquisition and expertise in the field.
With close to 12 years of experience in teaching, I am deeply committed to academia and the development of future professionals. My areas of specialization revolve around Intelligent Transportation Systems, Deep Learning, Cloud Technologies, and Machine Learning & IoT Technologies, where I continuously strive to expand my knowledge and contribute to advancements in these domains.
My research contributions have been significant, and I take pride in the publication of multiple papers in esteemed international journals such as Elsevier and Wiley. These papers explore critical topics like secure session key pairing, traffic flow prediction, and intelligent perception in transportation systems. Additionally, I have authored book chapters and even hold a registered Indian patent for the implementation of an intelligent chatbot using deep learning techniques.
Active participation in professional societies plays a vital role in my academic journey. As a member of IEEE, I am involved in various communities such as Graduate Student Membership, Young Professionals, and Consumer Technology Society. I have also served as a reviewer for esteemed journals and conferences including International Journal of Communication Systems, (wiley), International Journal of Cybersecurity and Applications (Elsevier), International Journal of Multimedia Tools and Applications (Springer), Security and Communication Networks (wiley), IEEE International Conferences, and PLOS ONE.
My enthusiasm for sharing knowledge and staying up-to-date with the latest advancements has led me to attend numerous training programs and workshops. These experiences have allowed me to expand my expertise in areas such as cyber forensics, data science, machine learning, and IoT applications.
I am driven by a deep passion for research, teaching, and innovation. My goal is to continue contributing to the field of Computer Science and Engineering, pushing the boundaries of knowledge and shaping the future. With a diverse skill set and a commitment to excellence, I am dedicated to making a positive impact and fostering the growth of aspiring professionals in the field.
Employment
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Anna University of Technology Madurai Teaching Fellow
Education
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Anna University, Chennai Ph.D2015 - 2022
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Velammal Engineering College Master of Engineering? - 2014
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Adhiparasakthi Engineering College Bachelor of Engineering? - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- A DAG-enabled cryptographic framework for secure drug traceability with identity-bound authentication and anomaly detection Save
- A zero-shot LLM framework for multimodal grievance classification, urgency scoring, and abuse detection in civic feedback systems Save
- Reliability-aware adaptive multimodal fusion framework for robust continuous authentication under non-stationary sensing conditions Save
- A hybrid approach combining images and questionnaires for early detection and severity assessment of Autism Spectrum Disorder Save
- Drug Traceability and Health Monitoring System with Hyperledger Fabric Save
- Empowering Lives: A Revolutionary IoT-Driven Communication System for Paralytic and Disabled Patients Save
- Automatic and Enhanced Reflexive System for Concise Answer Evaluation Using BERT Model and Bi-LSTM Save
- Automatic and Enhanced Reflexive System for Concise Answer Evaluation Using BERT Model and Bi-LSTM Save
- Secure session key pairing and a lightweight key authentication scheme for liable drone services Save
- A novel secure e-learning model for accurate recommendations of learning objects Save