Academic Profile

• Ph.D in Information and Communication Engineering, Anna University, Chennai

• M.E (Computer Science and Engineering) from Nandha Engineering College, Perundurai with first class 8.2 CGPA

• B.E (Computer Science and Engineering) from Velalar College of Engineering

Professional Experience

• Professor in Computer Science and Engineering, Nandha Engineering College, Erode (June 2024 - Till Date)

• Assistant Professor (Selection Grade) in Computer Science and Engineering, KPR Institute of  Engineering and Technology, Coimbatore (May 2022 - May 2024)

• Senior Assistant Professor in Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore (July 2016 – April 2022)

• Assistant Professor in Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore (June 2012 - July 2016)

• Lecturer in Computer Science and Engineering, Sasurie College of Engineering, Tirupur (August 2011 – May 2012)

Anna University Supervisorship

• Supervisor Recognition ID: 4140133

• Number of Scholars Pursuing Ph.D.: 6 

SCI Indexed Research Articles

• S. Sadesh , Rajasekaran Thangaraj, P. Pandiyan , R. Devi Priya , Palanichamy Naveen, Identification of Monkeypox Disease Based on MpoxNet and Swin Transformer Models Using Mobile Application, International Journal of Interactive Multimedia and Artificial Intelligence,(SCI).

• Chandrasekaran, G., Rajasekaran Thangaraj, & Kumar, N. S. (2024). Test scheduling of network-on-chip using hybrid WOA-GWO algorithm. Intelligent Data Analysis, 1-20.(SCI)

• Munirathinam, R., Tamilnidhi, M., Rajasekaran Thangaraj, Eswaran, S., Chandrasekaran, G., & Kumar, N. S. (2024). Automatic multiclass classification of laryngeal cancer using deep convolution neural networks. Electronics Letters, 60(1), e13070.(SCI)

• Rajasekaran Thangaraj, Pandiyan P, S. Anandamurugan , Sivaramakrishnan Rajendar, A Deep Convolution Neural Network Model Based on Feature Concatenation Approach for Classification of Tomato Leaf Disease, Multimedia Tools and Applications, Springer,2023, IF:3.6(SCI)

• Vishnu Kumar Kaliappan, Rajasekaran Thangaraj, Pandiyan P, Mohanasundaram K, Anandamurugan S, Dugki Min, Real-Time Face Mask Position Recognition System using YOLO models for Preventing COVID-19 Disease Spread in Public places, International Journal of Ad Hoc and Ubiquitous Computing, Inderscience, IF:0.773(SCI)

• Pandiyan P, Rajasekaran Thangaraj, Subramanian M, Rahul R, Nishanth M, Indupriya Palanisamy, Real-Time monitoring of Social Distancing with Person Marking and Tracking System using YOLO V3 model, International Journal of Sensor Networks, 38(3), 154-165, Inderscience, IF:1.3(SCI)

• Rajasekaran Thangaraj, Anandamurugan.S, Pandiyan. P & Vishnu Kumar Kaliappan, Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion. Journal of Plant Disease and Protection, IF:1.9, Springer,2021.(SCI)

• Rajasekaran Thangaraj, Anandamurugan, S. & Vishnu Kumar Kaliappan, Automated tomato leaf disease classification using transfer learning-based deep convolution   neural   network. Journal   of    Plant    Disease    and    Protection, IF:1.9, Springer,2021.(SCI)

Scopus Indexed Research Articles

• • Pandiyan, P, Rajasekaran Thangaraj, Balasubramanian V, & Manavalasundaram V. K (2025). Monitoring COVID-19 environment: a real-time facial mask detection using YOLO models. Research on Biomedical Engineering, 41(1), 1-18.(Scopus)

  • Rajasekaran Thangaraj, Pandiyan, P., Ramakrishnan, J., Nallakumar, R., & Eswaran, S. A deep convolution neural network for automated Covid-19 disease detection using chest X-ray images. Healthcare Analytics, 100278, Elesiver,2023(Scopus).

  • Naveen, P., Rajasekaran Thangaraj, R., & Maragatharjan, M. (2023). Contextual Reinforcement Learning for Enhanced Machine Translation using Transformers, 2023(Scopus).

  • Rajasekaran Thangaraj, Sivaramakrishnan Rajendar, Premkumar Murugiah, Vidhya Kandasamy, Rahul R, Reinforcement Learning Based Autonomous Path Finding Robot for Dynamic Environments, International Journal of Future Generation Communication and Networking,Vol.13.No.2,(2020).(WoS)

  • Mega Varsha Ramasami, Rajasekaran Thangaraj, S Manoj Kumar, Analysis of Bigmart Outlets sales using Big Data Analytics Method, 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), pp.1143-1146. IEEE Xplore, 2023(Scopus).

  • Rajasekaran Thangaraj, M Mohan, M Moulik, A Logeshwari, T Loganathan, P Koushika, A Comparative Study of Deep Learning Models for Guava Leaf Disease Detection, 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), pp.1-5. IEEE Xplore, 2023(Scopus).

  • Rajasekaran Thangaraj, Sivaramakrishnan Rajendar, M Sanjith, Sudev Sasikumar, L Chandhru, Automated Recognition of Wild Animal Species in Camera Trap Images Using Deep Learning Models, 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), pp.1-5. IEEE Xplore, 2023(Scopus).

  • Vadivel, Balasubramaniam, Rajasekaran Thangaraj, P. Pandiyan, T. Aravind, K. Harish, and E. Sivaraman,Deep Learning Models for Potato Leaf Disease Identification: A Comparative Analysis, In 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 58-62. IEEE Xplore, 2022(WoS,Scopus).

  • T Pavithra, Rajasekaran Thangaraj, P Pandiyan, Balasubramaniam Vadivelu,
    Real-Time Handgun Detection in Surveillance Videos based on Deep Learning Approach,IEEE Xplore,2022(Scopus).

  • Rajasekaran Thangaraj, Vishnu Kumar Kaliappan, M Pradheep, M Nishanth & Dugki Min, Real-Time Automatic License Plate and Helmet Detection of Urban Motorcyclist based on Deep Learning Approach for Surveillance Systems, Springer Lecture Series(Scopus).

  • Rajasekaran Thangaraj, P Pandiyan, T Pavithra, V.K Manavalasundaram, R Sivaramakrishnan & Vishnu Kumar Kaliappan,Deep Learning based Real-Time Face Detection and Gender Classification using OpenCV and Inception V3,IEEE Xplore,2022, DOI: 10.1109/ICAECA52838.2021.9675635.(Scopus)

  • Vishnu Kumar Kaliappan, Gnanamurthy, S, Kumar C. S, Rajasekaran Thangaraj, & Mohanasundaram, K. Reduced power consumption by resource scheduling in mobile cloud using optimized neural network. Materials Today: Proceedings, Elesiver,2021.(Scopus)

  • Sivaramakrishnan Rajendar, Rajasekaran Thangaraj, Jayasheelan Palanisamy, Vishnu   Kumar Kaliappan, Comparative Analysis of Classifier Models for the Early Prediction of Type 2 Diabetes, International Journal of Advanced Science and Technology,2020.(Scopus)

  • Rajasekaran Thangarasu, Kaliappan, V. K., Surendran, R., Sellamuthu, K., & Palanisamy, J. (2019). Recognition of animal species on camera trap images using machine learning and deep learning models. International Journal of Scientific and Technology Research, 8(10), 2613-2622.(Scopus)

  • T.Rajasekaran, Data Analysis On Diet Management And Disease Prediction, International Journal of Applied Engineering Research,2016.(Scopus)

  • Jayasheelan Palanisamy, S.Devaraju & Rajasekaran Thangaraj, Smart Irrigation System for Tomato Plants Using Arduino,International Journal of Life Science Pharma Research,pp.141-148.(WoS)

  • Rajasekaran Thangaraj, Dinesh D, Hariharan S, Rajendar S, Gokul, D, & Hariskarthi, T. R. (2020). Automatic Recognition of Avocado Fruit Diseases using Modified Deep Convolutional Neural Network. International Journal of Grid and Distributed Computing, 13(1), 1550-1559.(WoS)

  • Rajasekaran T, Jayasheelan P, & Preethaa K. S. (2016). Predictive analysis in agriculture to improve the crop productivity using zeroR algorithm. International Journal of Computer Science and Engineering Communications, 4(2), 1397-1401.

  • J. Sruthi, T. Rajasekaran, N. Raveena, S. Revathi, Social Network Based Disaster Analysis Using Naive Bayesian Classification Algorithm, International Journal of Advanced Research in Computer Science and Software Engineering,2016.

  • T. Pavithra, T.Rajasekaran, S.Prem Akshaya, N. Venkatesh Brabhu, Internet of Things in Various Scenarios: A Survey, International Journal on Recent and Innovation Trends in Computing and Communication,2016

  • T.Rajasekaran, V.Sowmeya, S.Suha, S.V.Vinodhini ,Abnormality Detection from Blood Report using Hierarchical Clustering Algorithm, International Journal of Latest Technology in Engineering, Management & Applied Science,2016

  • T Rajasekaran, R Tharani priya, V Pavithra, P Sudharshanam,Heart Attack Prediction for Diabetic’s Patient using Data Analytics, South Asian Journal of Engineering and Technology,2015.

  • T.Rajasekaran, V.Sowmeya, S.Suha, S.V.Vinodhini, Predictive Analysis of Blood Test Report, SS International Journal of Multidisciplinary Research,2015.

  • T.Rajasekaran,Data Analysis Classifier Model for Prediction of Human Ailments Using Artificial Neural Network, International Journal of Computer Science and Engineering Communication,2015.

  • T.Rajasekaran, P.Barathkumar, M.Guruprasath, S.Santhosh,Keyword Conscious Provision Endorsement Method,International Journal of Latest Technology in Engineering, Management & Applied Science,2015.

Book Chapter Publication

• Pandiyan P, Rajasekaran Thangaraj, Subramanian M, Vivekanandan S, Arivazhagan S, Geetha S K,A Comprehensive Review on Internet of Agro Drones for Precision Agriculture, Internet of Drones: Applications, Opportunities and Challenges,2022,CRC Press,Taylor & Francis Group(Scopus).

• Pandiyan P, Rajasekaran Thangaraj, Srinivasulu Raju S and Vishnu Kumar Kaliappan,White Blood Cells classification using Conventional and Deep Learning Techniques: A Comparative Study, Advances in Deep Learning for Medical Image Analysis, 2022,CRC Press,Taylor & Francis Group(Scopus).

• S.Sarvanan, P Pandiyan, T Rajasekaran,N Prabaharan,T Chinnadurai and Ramji Tiwari, Machine Learning-Based Predictive Maintenance for Solar Plants for Early Fault Detection and Diagnostics, Photovoltaic Sytems-Artificial Intelligence based Fault Diagnosis and Predictive Maintenance,2022,CRC Press, Taylor & Francis Group(Scopus).

• Rajasekaran Thangaraj, Internet of Things in Healthcare: An Extensive Review on Recent Advances, Challenges, and Opportunities, Book:Incorporating the Internet of Things in Healthcare Applications and Wearable Devices, IGI Global ,23-39, 2020(Scopus).

• Rajasekaran Thangaraj, Futuristic Adoption of Blockchain Technology in Smart Agriculture and Food Industry: Basic Concepts, Structure, Characteristics, Applicabilties, IGI Global,2023(Scopus).

Dataset Published

• P, Naveen; T Rajasekaran (2024), “Underwater Species Dataset (NR) from Video: Seals, Dolphins, Sea Turtles, Octopus, Seahorse, Sharks, Whales”, Mendeley Data, V1, doi: 10.17632/4tp83br92z.1(Mendeley)

• T Rajasekaran; P, Naveen; Vadivel, Balasubramaniam (2024), “K-Kotagiri (NRB) Avocado Leaf DataSet”, Mendeley Data, V1, doi: 10.17632/6zy6wxhf2v.1(Mendeley).

• T Rajasekaran; P, Naveen; R, Devi Priya; Vadivel, Balasubramaniam; Ravi, Vinayakumar (2024), “K-Kotagiri Tea Leaf Dataset”, Mendeley Data, V1, doi: 10.17632/68yy284sh9.1(Mendeley).

Patent Published

Title: Enhanced Automatic Detection and Warning System for Wild Animal Movements.     

Indian Patent Application No.: 202041004755

Title: Methane Gas Measuring device in Food wastage using Raspberry Pi, MQ-4 sensor.

Indian Patent Application No:202041036326

Title: Monitoring of People Social Distancing to Prevent Pandemic Disease Spread.

Indian Patent Application No: 202041021952

Title: Low-Cost Intelligent Face Recognition and Temperature Monitoring System.

Indian Patent Application No: 202041047712

Title: Portable E-Vocal Communication Device for Disable  

Indian Patent Application No: 202041052221 

Consultancy work

Project : Augment Reality App for Furniture Shopping

     Company : Aadhavan Furniture, Erode

Project : Virtual Reality App for Furniture Shopping

     Company : Aadhavan Furniture, Erode

Project : Payment Gateway Integration

     Company : Admire Solutions, Erode

Project : Web Application for Invoice Generation

Company : Preciso Tools and Engineering, Bangalore

Project : Hospital Process Automation(Web Application)

     Company : RKS Hospital, Erode

Professional Society Membership

• Life Member: Indian Society for Technical Education(ISTE)

• IEEE Computer Society