Dr. Vijayarajan V

Designation : Professor Grade 1
School / Centre : School of Computer Science and Engineering
Department : IoT

Educational Details

Thangavelu Engineering College, Madras University

B.E.,
Computer Science and Engineering
Graduated in 2001

Jaya Engineering College, Anna University

M.E.,
Computer Science and Engineering
Graduated in 2007

VIT Univerisity

Ph.D.
Computer Science and Engineering
Graduated in 2016

Research Details

Areas of Specialization
  • Artificial Intelligence (AI) & Machine Learning (ML)
  • Deep Learning
  • Data Analytics
  • Health Informatics
  • Quantum Computing

: 11 (SCOPUS), 13 (Google Scholar)
: 15 (Google Scholar)

On-going Consultancy Project Details

Title Funding Agency
Sharmila Banu K, V. Vijayarajan, “Rediscovering Thamizh Kalvettu Ezhuthukkal with advanced computational models,” [Funding: ₹ Rs. 4,76,348] ELCOT, India, 22 Dec 2021

Completed Consultancy Project Details

Title Funding Agency
V. Vijayarajan, et.al. “Tool to generate synthetically warped document images,” [Funding: ₹86,400] SAMSUNG PRISM, India, 01 Apr 2024 – 01 Jun 2024.

Completed Funded Project Details

Title Funding Agency
V. Vijayarajan, Rajkumar S, “Development of AI incorporated image processing tool to non-invasively quantify saprophytic fungi within fruits and vegetables,” School of Computer Science and Engineering, Vellore Institute of Technology (Self-Funded Institute Seed Money ), Duration: 27 Oct 2022 – 26 Oct 2024. [Funding: ₹3,00,000 (Sanctioned & Utilized), Outcomes: Publications: 1, Patents: 0, Projects: 0] VIT Seed Project

Patent Published Details

Title Application No.
L. Ramanathan, V. Vijayarajan, and K. Rachel, “Machine learning based process for predicting protein– protein association in molecular interactions of Parkinson’s disease,” Published: 2024. Indian Patent No. 202441044456

Books / Book Chapters Published Details

Title Publisher Published Year
A. Bokdia, N. Lodha, and V. Vijayarajan, “Quantum-enhanced feature extraction for smart logistics and transportation systems,” Quantum Computing and Artificial Intelligence in Logistics and Supply Chain Management, pp. 146–166, 2025. [Chapman and Hall/CRC, Taylor & Francis Group] 2025
S. Radhakrishnan and V. Vijayarajan, “Optimized deep learning system for crop health classification strategically using spatial and temporal data,” Deep Learning Techniques and Optimization Strategies in Big Data Analytics, pp. 233–250, 2020. [IGI Global] 2020
S. Radhakrishnan and V. Vijayarajan, “Farming 4.0: Technological advances that enable smart farming,” Handbook of Research on Implementation and Deployment of IoT Projects in Smart Cities, pp. 279–295, 2019. [IGI Global] 2019

Awards & Recognitions Details

  • University of Queensland Engineering Design Hackathon 2020 , University of Queensland, 2020