Publications

1. Venkatesh, R., Shenbagarajan, A. & Shenbagalakshmi, G. Fusion for Classification of COVID-19 Patients Using a Discriminative Shape–Texture Convolutional Neural Network with X-Ray Images and Speech Signal Processing. J Bionic Eng 23, 1899–1917 (2026). https://doi.org/10.1007/s42235-026-00866-1 
2. Venkatesh R, D. R., Totare, D. R. Y., Srinivas, D., & Anantharajan, D. S. (2026). Ambient Intelligence for Adaptive Smart Home Environments Using 5G Networks. International Journal of Artificial Intelligence and Machine Learning, 6(1s), 506–520. https://doi.org/10.51483/IJAIML.6.1s.2026.506-520 
3. Vijayakumar, M., Muniyandy, E., Mirajkar, G, R. Venkatesh., et al. Intrusion Detection and Localization Using Deep Learning Approaches in VANET Environments. SN COMPUT. SCI. 7, 234 (2026). https://doi.org/10.1007/s42979-026-04769-0  
4. Prerana Nilesh Khairnar, R. Venkatesh, Asma Anjum, Dinesh P S, Prabakaran Narayanaswamy, Beaulah Jeyavathana Rajendran, Hybrid Stacking Ensemble Model for Breast Cancer Classification: Performance Optimization with Existing Machine Learning Models, Vol. 13, No. 4, December 2025, pp. 923~935 ISSN: 2089-3272, DOI: 10.52549/ijeei.v13i4.7200 
5. R. Venkatesh, K. Vijayalakshmi, M. Geetha and A. Bhuvanesh, “Optimized Deep Belief Network for Multi-Disease Classification and Severity Assessment in Strawberries”, Journal of Animal and Plant Sciences, Vol.35, No.2, April 2025. https://doi.org/10.36899/JAPS.2025.2.0040  
6. Venkatesh R.; Vijayalakshmi K.; Geetha M.; Bhuvanesh A, “Strawberry Diseases Detection Using Adaptive Deep Residual Network”, Journal of Phytopathology, Vol.173,no.2, Feb 2025. https://doi.org/10.1111/jph.70043.
7. Poornima, I.G.A., Yogaraja, C.A., Venkatesh, R. et al. Pseudo Random Number Generator Based on Cellular Automata with Self Organized Criticality. SN COMPUT. SCI. 5, 454 (2024). https://doi.org/10.1007/s42979-024-02750-3 
8. Venkatesh, R., Anantharajan, S., Gunasekaran, S. et al. Prediction of Alzheimer’s Disease Using Adaptive Fine-Tuned Deep Resnet-50 with Attention Mechanism. SN COMPUT. SCI. 5, 392 (2024). https://doi.org/10.1007/s42979-024-02752-1
9. Poornima, I.G.A., Priya, G.S., Yogaraja, C.A. et al. Hand and Sign Recognition of Alphabets Using YOLOv5. SN COMPUT. SCI. 5, 311 (2024). https://doi.org/10.1007/s42979-024-02628-4 
10. Shenbagarajan Anantharajan, Shenbagalakshmi Gunasekaran, Thavasi Subramanian, Venkatesh R, MRI brain tumor detection using deep learning and machine learning approaches, Measurement: Sensors, Volume 31, 2024, 101026, ISSN 2665-9174, https://doi.org/10.1016/j.measen.2024.101026.
11. Shenbagarajan, A., Ragavan, K., Shenbagalakshmi, G., & Venkatesh, R. MRI Brain Tumor Segmentation using Cuckoo-based Dimensionality Reduction and Ensemble Convolutional Neural Network. The Open Biomedical Engineering Journal, 18(1).  https://doi.org/10.2174/0118741207290221240318063349. 
12. Venkatesh R., Shenbagarajan Anantharajan, Shenbagalakshmi Gunasekaran, "Multi-gradient boosted adaptive SVM-based prediction of heart disease", International Journal of Computers Communications & Control Online ISSN 1841-9844, ISSN-L 1841-9836, Volume: 18, Issue: 5, Month: October, Year: 2023, Article Number: 4994, https://doi.org/10.15837/ijccc.2023.5.4994
13. G. Shenbagalakshmi, A. Shenbagarajan, S. Thavasi, M. Gomathy Nayagam,         R. Venkatesh, Determination of water quality indicator using deep hierarchical cluster analysis, Urban Climate, Volume 49, 2023, 101468, ISSN 2212-0955, https://doi.org/10.1016/j.uclim.2023.101468.
14. R.Venkatesh, Dr.Balasubramanian, Dr.M.Kaliappan, “Development of Big Data Predictive Analytics Model for Disease Prediction using Machine learning Technique”, Journal of Medical Systems, Springer, 05 July 2019. https://doi.org/10.1007/s10916019-1398-y.

International and National Conferences:

1. R. Raj Mohan, K. Vijayalakshmi, P. John Augustine, R. Venkatesh, M. Gomathy Nayagam, B. Jegajohi; A comprehensive survey of machine learning based mobile data traffic prediction models for 5G cellular networks. AIP Conf. Proc. 22 March 2024; 2816 (1): 100002. https://doi.org/10.1063/5.0177504 
2. Shanthi, R. and D, Balasubramaniam and Venkatesh, R. and Sankari, C. and Manimaran, V. and Basha, Shaik Hedayath, “Enhancing Remote Sensing Image Classification Using Arithmetic Optimization Algorithm with Deep Learning Approach," Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India, October 2024, pp. 1-6, doi: 10.1109/ICAIT61638.2024.10690775. (Scopus)
3. K. Manikandan, R. Rajkumar, P. Jayanthi, S. Jothimani, R. Venkatesh and S. Govinda Rao, "An Intelligent Bayesian Optimization with Stacked BiLSTM Model for Air Quality Index Prediction," 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 1699-1704, doi: 10.1109/ICIRCA57980.2023.10220650. 
4. Venkatesh R, “Chaotic Whale Optimization based Node Localization Protocol for Wireless Sensor Networks Enabled Indoor Communication”, ICEARS, IEEE Xplore: 13 April 2022, DOI: 10.1109/ICEARS53579.2022.9751953 
5. V, Haritha,  J, Latha, A, Swetha Reddy, Divya Bharathi, N, Upadhyay, Shrikant, R, Venkatesh, Energy Efficient Data Management in Health Care, 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2 Feb. 2023 - 4 Feb. 2023, Coimbatore, India, id.22, February 2023, 10.1109/ICAIS56108.2023.10073796
6. Dr.R.Venkatesh, presented a paper entitled Environmental Sound Classification Using Deep Learning, in the International Conference on Recent Innovations in Computer, Communication, and Manufacturing on 12th and 13th April, 2023, organised by AAA College of Engineering and Technology, Sivakasi, Page No. 10, ISBN 979-889034581-3. 
7. R.Venkatesh, Gayathri A,Pavithra M, Subashini M, has presented a paper title on Prediction of Diabetic Disease Using Machine Learning Techniques in the “First International e-Conference on Management, Science & Technology(ICMST - Online) organized by the Department of Computer Science, RBVRR Women's College, Hyderabad, India” on 29th and 30th May 2021.    
8. R.Venkatesh, Dr.C.Balasubramanian, Dr.M.Kaliappan, K.R.Geerthanapriya  Development of Prediction System Using Deep Learning, IWCSET -2020, Rajapalayam, June 2020, P.no 61..             
9.  Mrs.S.Manjula, R.Venkatesh and Ms.V.Dhanya presented a paper on “Malware Identification Using Deep Learning” in the International Conference on Smart Engineering Technologies (IWCSET-2020) organized by RIT on 26June, 2020. 
10. Dr.M.Kalippan, Mr.R.Venkatesh, N.Arun, P.NithinJerish and P.Vignesh Kumar, “Trend Analysis of Energy Consumption Using Machine Learning Techniques”, International Conference on Recent Developments in Engineering (ICRDE’19), March 2019, Dhaanish Ahmed Institute of Technology, Coimbatore. 
11. R.Venkatesh, has presented a paper title on Location Based Remainder Alarm in the “National Conference on Computer, Electrical and Electronics Engineering-TECHTASTIC-2K20” on 6th of March 2020.

Scientific Books Published

• Hemalatha, J., Vivek, V., Mohan, S., Venkatesh, R., Kavitha Devi, M.K. (2024). The Impact of Denoising in Watermarking Robustness. In: Kumar Sahu, A. (eds) Multimedia Watermarking. Springer, Singapore. https://doi.org/10.1007/978-981-999803-6_4

Patents:

1. Dr.K.Vijayalakshmi, Mr.R.Venkatesh, Ms.V.Archuna, Ms.R.Asmitha, Ms.G.Divya, Ms.G.Sakthi Priya” Mobile Application to Help the Tribal Parents to Locate the Tribal Schools and Hostels”, ApplicationNo. 201841022715 A, India, Date of Publication:14.06.2019.Status: Published, FER Applied and Hearing Attended
2. Dr.L.Ganesan, Dr.K.Vijayalakshmi, Dr.M.Kaliappan, Mr.R.Venkatesh, Mr.K.Vignesh Saravanan, Mr.Kata Bharat “Deep Learning Based Yoga Pose Assessment System”, ApplicationNo. 202041046216A, India, Date of Publication: 30.10.2020. Status: Published, FER Applied and Hearing Attended. 
3. Dr.R.Venkatesh, “Comprehensive Tools to Edit the PDF and Convert Into EPUB Format for Visually Impaired People”, ApplicationNo. 202341013978, India, Date of Publication: 24.03.2023. Status: GRANTED.  
4. Dr.R.Venkatesh, “Machine Learning and Deep Learning Based Intelligent Auto Directed Camera for Surveillance”, Application No. 202341042864 A, India, Date of Publication: 27.06.2023. Status: Published. 
5. Dr.R.Venkatesh, “Bock Wind Energy (BWE) System For Wind Energy Extraction And Electricity Generation”, Application No. 202341042865 A, India, Date of Publication: 27.06.2023. Status: Published. 
6. Dr.R.Venkatesh, “Smart Glasses With Integrated Mobile Application For Location Tracking and Object Retrieval”, Application No. .202341043196 A, India, Date of Publication: 28.06.2023. Status: Published.  

Copyrights:

1. Dr.R.Venkatesh, Dr.C.A.Yogaraja, Mr.K.Vignesh Saravanan, Mrs.Devisri P “CCW332 Digital Marketing” Register Number: 36021/2024-CO/L,  Dated on 18/11/2024, Granted. 
2. Mrs. K. Jeyageetha, Ms.G.Sakthipriya, Dr.R.Venkatesh, Mrs.K. Jeyakarthika. “Cloud Computing Laboratory Manual: Register Number: 36038/2024-CO/L, Dated on 18/11/2024, Granted

• Recognized as an NPTEL Believer for the Jul–Dec 2025 session by National Programme on Technology Enhanced Learning and Indian Institute of Technology Madras. 
• Mentor of winning teams in the Smart India Hackathon 2022 and Smart India Hackathon 2023, securing cash prizes of ₹1,00,000 and ₹50,000 respectively 
• Mentor of a finalist team in the Smart India Hackathon 2023 for developing a real-time dumper load monitoring solution 
• Innovation Ambassador (Foundation Level) certified by AICTE and MoE Innovation Cell 
• Recognized Evaluator in Toycathon 2021, organized by AICTE and the MoE Innovation Cell 
• Internationally certified Red Hat Certified System Administrator (RHCSA) by Red Hat, achieving a score of 300/300
• Mentor of award-winning projects focused on assistive technologies, accessibility solutions, and digital innovation for social impact applications.

Participated

• Attended FDP on “Educational Video Production” organized by RIT during 16-21 July, 2025.
• Attended FDP on “Software Testing and Programming, Data Structures and Algorithms using Python” organized by NPTEL during Jan-Apr, 2025.
• Attended FDP on “Innovative AI Tools for Research Excellence” organized by RIT during 27.01.2025 – 01.02.2025.
• Attended FDP on “Artificial Intelligence for Disaster Resilience And Sustainable Development” organized by Jawaharlal Nehru University, Delhi (ATAL)  during 20.01.2025 to 25.01.2025.
• Attended FDP on “CCS366 - Software Testing and Automation” organized by RIT during 24.06.2024 to 29.06.2024.
• Attended FDP on “Clinical Intelligence: Exploration n with AI Tools” organized by Mepco Schlenk Engineering College, Sivakasi during 03.06.2024 to 07.06.2024.
• Attended FDP on “Android Basics with Compose” organized by ICT Academy during 15.04.2024 to 20.04.2024.
• Attended FDP on “Quantum Computing – Research Perspective in Healthcare Applications” organized by P.S.R. Engineering College, Sivakasi(ATAL) during 16.12.2024 to 21.12.2024. 
• Attended FDP on “When Big Data Meets AI” organized by AAA College of Engineering and Technology, Sivakasi during 26.11.2024 to 30.11.2024. 
• Attended FDP on “Python for Data Science” organized by IIT-Madras during July - Aug. 2024. 

Organized

• Organized a Six-Day online Faculty Development Training Programme on Innovative AI Tools for Research Excellence from 27th January to 1st February 2025.
• Organized a Physical Mode Six-day Faculty Development Training Programme (FDTP) on CCS366 - Software Testing and Automation, sponsored by Anna University from June 24 to June 29, 2024. 
• Organized a Five Day Short Term Training Programme on DevOps during 05-09 February, 2024.
• Organized a Five Days Faculty Development Programme on Microsoft Power BI Data Analyst Associate during 30.01.2023 to 03.02.2023.
• Organized a Seven day Anna University Approved FDTP on IT6006- Data Analytics during 06.06.2018 to 12.06.2018.
• Workshop on Maximizing Your Career Potential: The Role of IEEE, CS, ACM, and Related Societies on 18th October 2024. 
• Awareness Workshop on High-Performance Computing (HPC) on 03.09.2024. 
• Online guest lecture on the subject of "Automation Testing” on April 19, 2024,
• Guest Lecture on Career Guidance in Data Engineering on February 10, 2024. 
• Guest lecture on the subject of "Unravelling the Art of Encryption: Cryptography in Web Security on 28.10.2023.

Academic Experience:

• Associate Professor, Department of CSE-Artificial Intelligence and Machine Learning, SRM Institute of Science and Technology Tiruchirappalli., Tiruchirappalli (18.06.2026 - Till date)
• Associate Professor III and Head, Department of CSE (Artificial Intelligence and Machine Learning), Ramco Institute of Technology, Rajapalayam. (01.08.2025 -12.06.2026) 
• Associate Professor III, Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam. (01.02.2024 – 31.07.2025) 
• Associate Professor, Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam. (01.01.2023 – 31.01.2024) 
• Assistant Professor (SG), Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam. (01.07.2017 – 31.12.2022) 
• Assistant Professor, Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam. (01.06.2013 – 30.06.2017) 
• Assistant Professor, PSR Rengasamy College of Engineering for Women, Sivakasi. (13.07.2011 – 15.05.2013) 

• Life Member of the Indian Society for Technical Education
• Member of the Association for Computing Machinery 
• Member of the International Association of Engineers (IAENG) 

Received a fund of Rs 1 Lakh, December 2023 from SERB, DST for Organizing the International Conference on Artificial Intelligence, Cyber security & Game design (ICAICGD 2024)