Dr. D. Vidyabharathi

Dr. Vidyabharathi D, B.E,M.E,Ph.D,

Email: vidyabharathid@sonatech.ac.in

Designation: Associate Professor

Experience: Teaching : 24.5 years
Industry: 3.1 years

Specialization: Machine Learning ,Deep Learning, Data Science, Optimization

Journal Publication

  1. Dinesh Kumar Anguraj Deepak V., X.S. Asha Shiny, Vidyabharathi Dakshinamurthi, S. John Justin Thangaraj, “A proficient recommendation system for athletes utilizing an adaptive learning model integrated with wearable IoT devices,” Health, Science, and Technology Editorial, Vol 4, ISSN: 2953-4917, 2025, DOI: https://doi.org/10.56294/dm2025851
  2. Vidyabharathi Dakshinamurthi, Theetchenya Selvaraju, Vidhya Gopal, Varshini Murali, Sudha Palaniyappan, “Detection of digital image forgery using deep learning,” AIP Conference Proceedings, Vol 3279, No. 1, pp. 1-5, 2025, DOI: https://doi.org/10.1063/5.0263098
  3. Vidyabharathi Dakshinamurthi, Theetchenya Selvaraju, Galeebathullah Badurudeen, Gokulakrishnan Venkatesan, Karkish Shanmugaraja, Inbaraj Jayamani Boopathi, “Pose Estimation for Golf Performance Enhancement Using Machine Learning Algorithms,” AIP Conference Proceedings, Vol 3279, No. 1, pp. 1-5, 2025, DOI: https://doi.org/10.1063/5.0262939
  4. Theetchenya Selvaraju, Vidyabharathi Dakshinamurthi, Galeebathullah Badurudeen, Abinaya Kalyanaraman, Ajithkumar Kumar, Dhanusree Sampath, “Sign Language Recognition: Enhancing Communication for the Hearing and Speaking Impaired Using Hybrid Model,” AIP Conference Proceedings, Vol 3279, No. 1, pp. 1-5, 2025, DOI: https://doi.org/10.1063/5.0263062
  5. Theetchenya Selvaraju, Vidyabharathi Dakshinamurthi, Galeebathullah Badurudeen, Nithin Prabhakaran, Prasad Gopi, Muhammad Afzal Nazeer Hussain, “Food Detection and Estimation of Calories and Other Macro-Nutrients and Features to Support Healthy Lifestyle,” AIP Conference Proceedings, Vol 3279, No. 1, pp. 1-5, 2025, DOI: https://doi.org/10.1063/5.0263063
  6. Sameer Yadav, J. Sharmila Joseph, Mayank Nagar, Vidyabharathi Dakshinamurthi, Usha M, Vedant Dubey, “Optimized BIGRU-Attention Network for OSA and Cardiovascular Disease Prediction with Risk Factor Classification,” IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG), IEEE, 2025, DOI: 10.1109/ICTBIG64922.2024.10911218
  7. Vidhya Gopal, Vidyabharathi Dakshinamurthi, Theetchenya Selvaraju, Prithvisri Jegadeesan, Pavithra Sridhar, Purnanchale Kamalakannan, “An Automated Water Recirculation in Smart IOT-Driven Data Analytics for Aquaculture: A Survey,” AIP Conference Proceedings, Vol 3279, No. 1, pp. 1-5, 2025, DOI: https://doi.org/10.1063/5.0262905
  8. D Vidyabharathi, B Sathiya, G Mohanraj, S Theetchenya, B Galeebathullah, G Vidhya, “A Web-Based System to Forecast Heart Disorder by Using Machine Learning Algorithm,” International Health Informatics Conference, LNNS, Vol. 1113, pp. 11-14, Springer Nature, 2023, DOI: https://link.springer.com/chapter/10.1007/978-981-97-7190-5_17
  9. Prabu Selvam, Muhammad Faheem, Vidyabharathi D, Akshaj Nevgi, R. Bhuvaneswari, K. Deepak, Joseph Abraham Sundar, “Batch Normalization Free Rigorous Feature Flow Neural Network for Grocery Product Recognition,” IEEE ACCESS, Vol 12, pp. 68364-68381, 2024
  10. Vidyabharathi D, Yuva Krishna Aluri, B. Aruna Devi, N. Alangudi Balaji, “Dry Eye Disease Classification Using AlexNet Classifier,” International Journal of Intelligent Systems and Applications in Engineering, Elsevier, Vol. 12, No. 7, pp. 263-271, 2024
  11. D Vidyabharathi, V Mohanraj, J Senthil Kumar, Y Suresh, “Achieving generalization of deep learning models in a quick way by adapting T-HTR learning rate scheduler,” Personal and Ubiquitous Computing, Springer, Vol. 27, No. 3, pp. 1335-1353, 2023
  12. D Vidyabharathi, V Mohanraj, “Hyperparameter Tuning for Deep Neural Networks Based Optimization Algorithm,” Intelligent Automation and Soft Computing, Tech Science Press, Vol. 36, No. 3, pp. 2559-2573, 2023
  13. D Vidyabharathi, S Sivanesh, S Theetchenya, G Vidhya, “Enhancing crack detection with convolutional neural networks and oriented non-maximal suppression,” Journal of Intelligent & Fuzzy Systems, IOS Press, Vol. 45, No. 6, pp. 11075-1109, 2023
  14. Marimuthu M, Mohanraj G, Karthikeyan D, Vidyabharathi D, “Safeguard confidential web information from malicious browser extension using encryption and isolation techniques,” Journal of Intelligent & Fuzzy Systems, IOS Press, Vol. 45, No. 4, pp. 6145-6160, 2023, DOI: 10.3233/JIFS-233122
  15. L. Raja, B. Jaishankar, Ashwini A.M., Vidyabharathi D, “A novel epilepsy seizure prediction model using deep learning and classification,” Healthcare Analytics, Elsevier, Vol. 4, 2023, DOI: https://doi.org/10.1016/j.health.2023.100222
  16. Vidyabharathi D, Syed Ibad Ali, T Karthikeyan, Nanda Satish Kulkarni, “Causal Convolution Employing Almeida–Pineda Recurrent Backpropagation for Mobile Network Design,” ICTACT Journal on Communication Technology, Vol. 14, No. 4, pp. 3091-3096, 2023
  17. Vidyabharathi D, G. P. Suja, P. Murugan, SK Riyaz Hussain, “Deep Learning-Based Image Dehazing and Visibility Enhancement for Improved Visual Perception,” ICTACT Journal on Image & Video Processing, Vol. 14, No. 2, pp. 3122-3128, 2023
  18. M Marimuthu, G Vidhya, J Dhaynithi, G Mohanraj, Vidyabharathi D, N Basker, “Detection of Parkinson’s disease using machine learning approach,” Annals of the Romanian Society for Cell Biology, Vol. 25, No. 5, pp. 2544-2550, 2021
  19. Basker N, Theetchenya S, Vidyabharathi D, Dhaynithi J, Mohanraj G, Marimuthu M, Vidhya G, “Breast cancer detection using machine learning algorithms,” Annals of the Romanian Society for Cell Biology, Vol. 25, No. 5, pp. 2551-2562, 2021
  20. J Dhayanithi, D Balamurugan, M Marimuthu, Vidyabharathi D, Basker N, Vidhya G, Theetchenya S, Mohanraj G, “An Evaluation Framework and Analysis of Auto Assessing the Programming Courses during the COVID-19 Pandemic,” Turkish Journal of Computer and Mathematics Education, Vol. 12, No. 10, pp. 4918-4923, 2021
  21. G Mohanraj, M Marimuthu, N Basker, J Dhayanithi, D Vidyabharathi, “Virtual health assistance system,” Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, No. 3, pp. 8343-8348, 2021
  22. Mohanraj G, Marimuthu M, Vidyabharathi D, Theetchenya S, Vidhya G, “Smart Car Monitoring System,” Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, No. 3, pp. 5763-5773, 2021
  23. Basker N, Marimuthu M, Theetchenya S, Vidyabharathi D, Vidhya G, “Ascertaining Of Trustworthiness in the News Articles on Social Media with Deep Neural Network Architectures,” Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, No. 3, pp. 4528-4533, 2021
  24. Vidyabharathi D, Theetchenya S, Marimuthu M, Vidhya G, “Sentiment Analysis Algorithms and its diverse applications: A survey,” Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, No. 3, pp. 3702-3709, 2021
  25. Theetchenya S, Vidyabharathi D, Vidhya G, Marimuthu M, “Automated Intravenous Fluid Level Monitoring System for Hospitals,” Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, No. 3, pp. 3697-3701, 2021
  26. Vidyabharathi D, Marimuthu M, Theetchenya S, Vidhya G, Basker N, Mohanraj G, Dhaynithi J, “An Effective Sentiment Analysis of Social Media Data Using Deep Recurrent Neural Network Models,” Turkish Journal of Computer and Mathematics Education, Vol. 12, No. 10, pp. 4898-4908, 2021
  27. Vidhya G, Basker N, Dhaynithi J, Marimuthu M, Theetchenya S, Vidyabharathi D, Mohanraj G, “Active auditing Services for Storing and Securing the Data in the Cloud,” Turkish Journal of Computer and Mathematics Education, Vol. 12, No. 10, pp. 4924-4930, 2021
  28. Theetchenya S, Vidyabharathi D, Vidhya G, Basker N, Marimuthu M, Dhaynithi J, Mohanraj G, “An Effective Solid Waste Management for Modern Cities based on IoT,” Turkish Journal of Computer and Mathematics Education, Vol. 12, No. 10, pp. 4909-4917, 2021
  29. Theetchenya S, Vidhya G, Vidyabharathi D, Basker N, Vinothkumar R B, Marimuthu M, Mohanraj G, “An Automated Irrigation Level Control using GSM in Agriculture,” International Journal of Advanced Science and Technology, Vol. 29, No. 7, pp. 12168-12174, 2020
  30. Vidyabharathi D, Vinothkumar R B, Theetchenya S, Kowsalya M, Lhavanya T V, Nishanthi P, “An Enhanced Linear Regression model for Controlled Environment Agriculture,” International Journal of Advanced Science and Technology, Vol. 29, No. 8, pp. 2235-2242, 2020
  31. Vidhya G, Marimuthu M, Vinothkumar R B, Vidyabharathi D, Theetchenya S, Basker N, Mohanraj G, “An enhancement of Apriori Algorithm for Shopping Cart Analysis of Customers,” International Journal of Advanced Science and Technology, Vol. 29, No. 8, pp. 2124-2131, 2020
  32. Kanimozhi M, Vidyabharathi D, Jayareka K S, Theetchenya, “An Image Based Approach To Detect Counterfeit Products using MSER Algorithm,” Suraj Punj Journal For Multidisciplinary Research, Vol. 9, No. 44, pp. 17-22, 2019
  33. J. Cibia D, Vidyabharathi, “Personalized Point of Interest Travel Recommendation Based on Social Media Users,” International Journal for Trends in Engineering & Technology, Vol. 14, No. 1, pp. 5-10, 2016
  34. Vidyabharathi D, L. Leema Priyadarsini, “An Approach to Verification Witness by Information Reuse,” International Journal for Trends in Engineering & Technology, Vol. 3, No. 3, pp. 109-111, 2015
  35. N Padma Priya, D Vidyabharathi, “An Unambiguous Clustering and Ranking of Software Cost Estimation Models by Modified Scott-Knott Approach,” Canada’s Journal of Global Policy Analysis, Vol. 4, No. 2, pp. 785-790, 2014
  36. N. Padma Priya, D. Vidyabharathi, “Scott Knott Test Based Effective Software Effort Estimation through a Multiple Comparison Algorithms,” International Journal of Innovative Research in Computer and Communication Engineering, Vol. 2, No. 1, pp. 2257-2262, 2014
  37. Vidyabharathi D, K. Chinnaiyan, “Relevance Feature Analysis for High Dimensional Data using Feature Subset Selection Algorithm,” International Journal of Advanced and Innovative Research, Vol. 3, No. 3, pp. 197-201, 2014

International Conferences

  1. Mahadevi M, Marimuthu M, Poornima I, Gethzi Ahila, Vijayalakshmi K, Vidyabharathi D, Priya G Sakthi, “Deep Learning for the Investigation of Lung and Pancreatic Tumors”, 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), IEEE, pp.669–674, 2023
  2. P V R Subba Rao, B Natarajan, R Bhuvaneswari, Vidyabharathi D, “Outperforming Cryptocurrency Price Prediction Using Deep Reinforcement Learning Approach”, International Conference on Computing, Communication, and Intelligent Systems, IEEE, pp.713–719, 2023
  3. R. Deepa, D. Vidyabharathi, Hemlata, Kalaivaani P.C.D, M. Marimuthu, Mohamed Ismail K, “Revolutionizing Hand Gesture Recognition: A Transfer Learning Approach using Surface Electromyography and Convolutional Neural Networks”, International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), IEEE, pp.1–4, 2023
  4. Mohan Babujii G, Murali Krishnan P, Prasanna N R, Sairam P L, Vidyabharathi D, “CAP: Child Abuse Risk Prediction and Prevention Framework Using AI and Dark Web”, International Conference on Agriculture, Healthcare and Green Computing Perspectives of Communication Technologies, pp.208, 2022
  5. D. Vidyabharathi, Harini K K, Mohamed Niyas R, “A Technique For The Early Detection of Lung Cancer using Machine Learning”, International Conference on Agriculture, Healthcare and Green Computing Perspectives of Communication Technologies, pp.205, 2022
  6. D. Vidyabharathi, M. Marimuthu, G. Vidhya, S. Theetchenya, “Automatic Ascertaining Of Trustworthiness in the News Articles on Social Media with Deep Neural Network Architectures”, ICARA’2020 - International Conference on AI, Robotics and Automation, pp.215–219, 2020
  7. S. Theetchenya, G. Vidhya, M. Marimuthu, D. Vidyabharathi, “Automated Intravenous Fluid Level Monitoring System for Hospitals”, ICARA’2020 - International Conference on AI, Robotics and Automation, pp.220–223, 2020
  8. G. Vidhya, D. Vidyabharathi, S. Theetchenya, M. Marimuthu, “Secure Data Storage with Dynamic Auditing Services in the Cloud”, ICIHPE’2020 - International Conference on Advances in IoT, High Performance and Edge Computing, pp.88–92, 2020
  9. Vidhya G, Sakthivel S, Vidyabharathi D, Theetchenya S, “Energy Efficient Hierarchical Routing Chain Based Clustering for Wireless Sensor Networks”, ASTMLS-2020 - International Conference on Applied Science, Technology, Management and Language Studies, pp.241, 2020
  10. Vidyabharathi D, MohanBabujii G, Theetchenya S, Vidhya G, “IoT Based Solid Waste Management for Modern Cities”, ASTMLS-2020 - International Conference on Applied Science, Technology, Management and Language Studies, pp.248, 2020
  11. Theetchenya S, Vidyabharathi D, Vidhya G, Jaisree V, “A Sentiment Analysis of Social Media Data using Deep Recurrent Neural Network Models”, ASTMLS-2020 - International Conference on Applied Science, Technology, Management and Language Studies, pp.251, 2020
  12. K. Nandhini Devi, D. Vidyabharathi, “Identification of Latent Aspects Using Bayesian Non-Parametric Models”, International Conference on Intelligent Computing Systems (ICICS 2017), pp.516–526, Elsevier’s SSRN eLibrary – Journal of Information Systems & eBusiness Network, ISSN: 1556-5068, 2017

Book Chapters

  1. Integrating genomic data and genetic risk factors with AI for predicting susceptibility to Alzheimer's disease, Parveen N, Vidyabharathi D, Shaik N, Nivas D.R., AI-Driven Alzheimer's Disease Detection and Prediction, 2024, pp. 320–341
  2. Nearest-neighbor approaches in earth observation: A comparative analysis, Srijayanthi S, Vidyabharathi D, Kumar S, Manikandan R, Novel AI Applications for Advancing Earth Sciences, 2023, pp. 291–314

Patent

  1. Optimized Tamil Chatbot Using MBERT for Rural Classrooms Through Multilingual Conversations: Bridging the Gap in Rural School Education, Inventors: Dr. Vidyabharathi D, Ms. Theetchenya S, Dr. Vidhya G, Application No.: 202541037132 , Filed: 17/04/2025 Published: 16/05/2025
  2. Sign Language Recognition for Enhancing Communication for the Hearing and Speaking Impaired Inventors: Ms. Theetchenya S, Dr. Vidyabharathi D, Dr. Ramya P, Dr. Vidhya G, Application No.: 202541044266 Filed: 07/05/2025
  3. A Simple Deep Learning Model Utilizing Multi-Channel EEG Signal Data with Optimal Time-Domain Features for Accurate Schizophrenia Detection Inventors: Dr. P. Ramya, Dr. A. C. Kaladevi, Ms. S. Theetchenya, Ms. D. Vidyabharathi, Ms. G. Vidhya,Application No.: 202541061342 Filed: 26/06/2025

Research Projects

  1. Financial Grant of Rs.93,000/- Received from AICTE to conduct ONE WEEK AICTE- ISTE SPONSORED REFRESHER COURSE ON “INTELLIGENT COMPUTING USING PYTHON” during the year 2020
  2. Applied a proposal in the year 2024 under the scheme Cognitive Science Research Initiative (CSRI),”Enhancing graduate outcomes in higher education institutions to Achieve higher levels of career choices through cognitive skills and Adaptive learning”, for the duration 36 months with the budget RS.39,53,598/-

Membership

ISTE,IEI,ISSE,ACCS

Researcher IDs

Awards & Recognitions

  1. Acted as Expert for NBA mock Inspection - Computer Technology department at Thiagarajar Polytechnic College 2024
  2. Received appreciation for handling a session CO PO attainment in association with ISTE chapter
  3. Acted as Mentor for a Team (NIT Silchar) in Smart India Hackathon Software Edition Grand Finale 2022
  4. Completed Certification on CDAC Cybersecurity course in 2023, Infosys Springboard Artificial Intelligence in 2024
  5. Received Best Paper award for an outstanding contribution at the GREEN COMPUTING FOR COMMUNICATION TECHNOLOGIES (ICGCCT - 2024)
  6. Secured Topper 5% for the NPTEL Course 'Distributed Systems' during Jul-Sep 2024
  7. Secured Topper 1% in the course 'Introduction to Internet of Things' during Jan-Apr 2024
  8. Secured Elite & Silver for the NPTEL Course 'Software Conceptual Design' during Aug-Sep 2023
  9. Secured Elite & Silver for the NPTEL in the course 'Cloud Computing and Distributed System' during Jan-Mar 2023
  10. Received ‘Best Researcher Award‘ from Scientific Laurels, approved and registered by the Ministry of Corporate Affairs (MCA), Govt. of India. Accredited by the World Research Council (WRC), American Chamber of Research, TIMES OF RESEARCH (TOR), and UNITED MEDICAL COUNCIL (UMC), ensuring global recognition and credibility.