Dr. J. Bhuvana earned her Ph.D. in Computer Science and Engineering from Anna University in 2015. In her doctoral research, she worked on multi-objective optimization and evolutionary computing, focusing on the design of memetic algorithms with adaptive weights, preferential local search and automatic termination schemes for solving complex optimization problems.

With over 27 years of teaching, research and academic administration experience, Dr. Bhuvana began her academic career at A.V.C. College of Engineering in 1998 and joined SSN College of Engineering in 2006. She is currently an Associate Professor in the Department of Computer Science and Engineering at SSN School of Engineering, Shiv Nadar University Chennai.

Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Video Analytics, Edge AI, Intelligent Surveillance Systems and Multimodal Learning, with focus on video anomaly detection, explainable AI, and edge intelligence for real-world applications in surveillance, healthcare, wildlife monitoring, and natural language processing. Dr. Bhuvana is a Senior Member of the IEEE, a Professional Member of the ACM, and a Life Member of the Indian Society for Technical Education (ISTE).

Work Experience

27+ Years (Teaching, Research and Academic Administration)

• Jul 2026 – Present Associate, Professor, Department of CSE, Shiv Nadar University Chennai
• Aug 2015 – Jun 2026, Associate Professor, Department of CSE, SSN College of Engineering
• Oct 2008 – Jul 2015, Assistant Professor, Department of CSE, SSN College of Engineering
• Dec 2006 – Sep 2008, Senior Lecturer, Department of CSE, SSN College of Engineering
• Oct 2004 – Oct 2006, Assistant Professor, Department of CSE, A.V.C. College of Engineering
• Sep 1998 – Sep 2004, Lecturer, Department of CSE, A.V.C. College of Engineering

Projects

Research Projects (Internally Funded)

• Wildlife Surveillance for Monitoring Agricultural Fields and Residential Areas (2019–2021)
• Edge Computing Based Real-Time Smart Surveillance System, (2021–2024)

Student Innovation Projects

• IOT Based Smart Agriculture, July 2018.
• Biometric voting system, November 2018.
• Synchronized security system, May 2022.
• Smart Blink: Smart home automation using eye movement for disabled, May 2022
• Project Sanjaya – Live visual assistant in physics lab, February 2023
• Vehicle sound sensing and classification system for Auditorily Impaired drivers, February 2023
• Smart Navigation Assistance for the Visually Impaired February 2024
• Gesture-Controlled Assistive Gloves for the Elderly, June,2025

Consultancy Projects

• Training and Capstone projects for HCL employees (2023)
• Video Analytics-based Machine Productivity Monitoring for Caterpillar India (2020)
• Cyber Crime Awareness and Training Programme for Sub-Inspectors, Tamil Nadu Police (2020)
• Reengineering Wheel Balancer Application for Manatec India Ltd. (2017)

Publications

18 International Journal Publications, 39 International Conference Publications, 4 Book Chapters

Journals

1. J Bhuvana, T.T. Mirnalinee, Harini Mohan, Olirva M, AnomalyMHKD: A Multi-Mode Hybrid Knowledge Distillation Approach for Self-Supervised Detection of  Anomalous Objects, accepted for publication in Multimedia Tools and Applications, July 2026 (Q1).
2. Arun Govindan Krishnan, Jayaraman Bhuvana, Mirnalinee Thanga Nadar Thanga Thai, Bharathkumar Azhagiya Manavala Ramanujam, AI SWLM: artificial intelligence-based system for wildlife monitoring, International Journal of Electrical and Computer Engineering (IJECE)   Vol. 16, No. 1, February 2026, pp. 216 – 229 ISSN: 2088-8708, DOI: 10.11591/ijece.v16i1.pp216-229. Q3, IF: 0.33
3. B. S. Richard, B. Jayaraman, R. Rajalakshmi and D. Chinnappa, Vivify—Emotion Recognition and Music Recommendation Using Transformers, IEEE Access, vol. 13, pp. 204894-204907, 2025, doi: 10.1109/ACCESS.2025.3638409. Q1, Scopus, WOS. IF:3.6.
4. J. C. Divya, T. T. Mirnalinee, J. Bhuvana, Dynamic Learning for Improving Anomalous Event Prediction in Surveillance Videos, Arabian Journal for Science and Engineering, https://doi.org/10.1007/s13369-024-09873-y ( Scopus Q1- December 18, 2024)
5. Bhuvana J, Priyadharsini R, Swathi Nagarajan, Soundarya Venkatesh, “Camcorder Anti-Piracy System”, NOVYI MIR Research Journal, ISSN NO: 0130-7673, Vol 9, Issue no 11, Nov 2024. (Web of Science) DOI:16.10098.NMRJ.2024.V9I11.256342.38052
6. Priyadharsini R, Bhuvana J, Rahil Singhi, VishnuJ, “Continuous Sign Language Recognition using MediaPipe, Bidirectional LSTMs and Transformer Models”, NOVYI MIR Research Journal, ISSN NO: 0130-7673, Vol 9, Issue no 11, Nov 2024. (Web of Science)
7. Mirnalinee, TT, J. Bhuvana, and SB Vinodhinisri. “A Data Hiding Approach for Secured Data Communication.” Romanian Journal of Information Science and Technology, Vol.26, no. 3-4 (2023): 339-350. (WOS, Scopus, IF: 0.643) 10.59277/ROMJIST.2023.3-4.07 (Web of Science)
8. Bhuvana Jayaraman, Mirnalinee Thanga Nadar Thanga Thai, Anirudh Anand, Karthik Raja Anandan, Detecting malicious IoT traffic using Machine Learning techniques, Romanian Journal of Information Technology and Automatic Control, Vol. 33, No. 4, 47-58, 2023, ISSN: 1220-1758 (Web of Science)
9. Divya J C, Mirnalinee T T, Bhuvana J, A Study on Self-Supervised Learning based Feature Generalization, Indian Journal of Natural Sciences, Vol.14, Issue 78, 56755 – 56762, June /2023. (Web of Science)
10. Seyezhai Ramalingam, Muthuselvan N.B and J. Bhuvana, “A Study and Review of Classical, Machine Learning and Deep Learning Methods of Software Reliability Estimation for Safety-Critical Systems”, Indian Journal of Natural Sciences, Vol.13, Issue 76, 52452-52467, February 2023 ISSN: 0976 – 0997. Clarivate, Impact Factor: 1.988. (Web of Science)
11. Bhuvana, J., T. T. Mirnalinee, B. Bharathi and Infant Sneha. “Efficient generative transfer learning framework for the detection of COVID-19” Computer Science and Information Systems, pp. 1241–1259, 2022 IF: 1.09 ISSN / eISSN: 1820-0214. (Web of Science)
12. J , Mirnalinee. T. T; An approach to Plant Disease Detection using Deep Learning Techniques, ITECKNE    ISSN: 1692-1798 (Print) ISSN: 2339-3483 (Web-Online) Vol 18 No 2 (2021). https://doi.org/10.15332/iteckne.v18i2.2615(Web of Science)
13. Bharathi, B. and J. Bhuvana. “Human activity recognition using deep and machine learning algorithms.” Int. J. Innov. Technol. Explor. Eng. (IJITEE) 9 (2020): 2460-2466. (Scopus indexed)
14. Marimuthu S, Bhuvana J and Mirnalinee T T, “Disease Detection in Tomato Plants using Deep Learning, Intelligent Systems and Computer Technology, Advances in Parallel Computing, IOS Press, Vol.37, pp. 190-195, 2020.  (Scopus indexed)
15. Bhuvana, J. and Chandrabose Aravindan. “Stopping criteria for MAPLS-AW, a hybrid multi-objective evolutionary algorithm.” Soft Computing 20, no. 6 (2016): 2409-2432.  (Web of Science)
16. Bhuvana, J. and Chandrabose Aravindan. “Memetic algorithm with Preferential Local Search using adaptive weights for multi-objective optimization problems.” Soft Computing 20, no. 4 (2016): 1365-1388. (Web of Science)
17. Bhuvana, J. and G. Sowntheriya. “A Multi objective Memetic Algorithm For Flexible Job Shop Problem.” International Journal of Advanced Computing and Communication Systems (IJACCS), Vol.3 Issue.3 December 2016, pp1-6. (Scopus indexed)
18. Bhuvana, J. “A hybrid evolutionary algorithm for discrete optimization.” Research Journal of Applied Sciences, Engineering and Technology 9, no. 9 (2015): 770-777. (Scopus indexed)

Conferences

1. J Bhuvana, Sandhya Giribabu, Shinigdapriya Sathish and Vidarshanaa Saravanavel, , ICIS: A Vision – Language Dataset of Indian Streets for Culturally Aware Image Captioning and Benchmarking, Grenze International Journal of Engineering and Technology, June 2026.
2. J Bhuvana, Ramanan Mahendran, S Siddharth Chandrasekar, J Pragatheesh, Multi-Modal Forensic Feature Fusion for Unified AI-Generated Content Detection and Manipulation Localization, MediaEval’25: Multimedia Evaluation, CEUR Workshop Proceedings, pp 1-5, 2025 November
3. Bhuvana, J., Mirnalinee, T.T., Seshan, D. and Koushik, A., 2025, May. SSNTrio@ DravidianLangTech 2025: Identification of AI Generated Content in Dravidian Languages using Transformers. In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, Association for Computational Linguistics (pp. 413-417). DOI: 10.18653/v1/2025.dravidianlangtech-1.59
4. Bhuvana, J., Mirnalinee, T.T., Seshan, D. and Koushik, A., 2025, May. SSNTrio@ DravidianLangTech 2025: Sentiment Analysis in Dravidian Languages using Multilingual BERT. In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, Association for Computational Linguistics (pp. 418-422). DOI: 10.18653/v1/2025.dravidianlangtech-1.60
5. Mirnalinee, T.T., Bhuvana, J., Koushik, A. and Seshan, D., 2025, May. SSNTrio@ DravidianLangTech2025: LLM Based Techniques for Detection of Abusive Text Targeting Women. In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, Association for Computational Linguistics(pp. 493-497). DOI: 10.18653/v1/2025.dravidianlangtech-1.74
6. Bhuvana, J., Mirnalinee, T.T., Seshan, D. and Koushik, A., 2025, May. SSNTrio@ DravidianLangTech 2025: Hybrid Approach for Hate Speech Detection in Dravidian Languages with Text and Audio Modalities. In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, Association for Computational Linguistics(pp. 532-536). DOI: 10.18653/v1/2025.dravidianlangtech-1.80
7. Palaniraj, Harshida Sujatha, Keerthan Vinod, Mohith Adluru, Bhuvana Jayaraman, and M. TT. “MLRG-JBTTM at MEDIQA-sum 2023: Dialogue2topic classification.” CEUR workshop proceedings, Vol. 3497, pp.1711-1719, CLEF, 2023.
8. Bhuvana Jayaraman, Mirnalinee TT, Harshida Sujatha Palaniraj, Mohith Adluru and Sanjjit Sounderrajan, “Automated Recognition of Sports Scores using PyTessaract OCR and CNN: Sports Video Task at MediaEval 2023”, MediaEval’23: Multimedia Evaluation Workshop, CEUR, Vol. 3658, pp. 1-5, 2024.
9. Prakash, R. Gokul, Jayaraman Bhuvana, Eeswara Anvesh Chodisetty, Arjun Mukesh, and T. T. Mirnalinee. “Multi-model Estimators and Ensemble-based Regressors for Predicting Video Memorability.”MediaEval’22: Multimedia Evaluation Workshop, CEUR, 3583, 2023.
10. Mirnalinee TT, Jayaraman B, Anirudh A, Jagadish R, Karthik Raja A. A Novel Dataset for Fake News Detection in Tamil Regional Language. In International Conference on Speech and Language Technologies for Low-resource Languages 2022 Nov 23 (pp. 311-323). Cham: Springer International Publishing.
11. Jayaraman, Bhuvana, T. T. Mirnalinee, Karthik Raja Anandan, Aarthi Suresh Kumar, and Anirudh Anand. “Offensive text prediction using Machine Learning and Deep Learning approaches.” In Hate Speech and Offensive Content Detection (HASOC), CEUR, Vol.3159, pp. 688-695, Working Notes of FIRE 2021 – Forum for Information Retrieval Evaluation
12. Anirudh Anand, Jeet Golecha, Bharathi B, Bhuvana Jayaraman, Mirnalinee T. T, “Machine Learning Based Hate Speech Identification for English and Indo-Aryan Languages”, FIRE 2021: Forum for Information Retrieval Evaluation, December 13-17, 2021, Virtual event, CEUR workshop proceedings, Vol. 3159, pp. 432-438, URL: http://ceur-ws.org/Vol-3159/T1-42.pdf
13. K A. Karthikraja , Aarthi Suresh Kumar, B. Bharathi, Jayaraman Bhuvana, T.T Mirnalinee, “Abusive and Threatening Language Detection in Native Urdu Script Tweets Exploring Four Conventional Machine Learning Techniques and MLP”, In Hate Speech and Offensive Content Detection (HASOC), FIRE 2021: Forum for Information Retrieval Evaluation, December 13-17, 2021, Virtual event, CEUR workshop proceedings, Vol. 3159, pp. 806-812, URL: http://ceur-ws.org/Vol-3159/T4-7.pdf
14. Bhuvana J, Mirnalinee T T, Bharathi B, Jayasooryan S, Lokesh N N, “YOLOV5 for Stroke Detection and Classification in Table Tennis”, Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021, CEUR workshop proceedings, Vol. 3181, URL: YOLOv5 for Stroke Detection and Classification in Table Tennis (ceur-ws.org), Available: August 2022
15. Karthik Raja A, Anirudh A, Bhuvana J, Mirnalinee T. T presented a paper titled “A Novel Dataset for Fake News Detection in Tamil Regional Language” in International workshop on Fake News Detection in Low-Resource Languages(Regional-FAKE) on 24 November, part of Springer – SPELLL 2022 – 1st International Conference on Speech and Language Technologies for Low-resource Languages, during 23 – 25 November 2022.
16. R. Seyezhai, N.B. Muthuselvan, J. Bhuvana, ‘A Study and Review of Classical, Machine Learning and Deep Learning Methods of Software Reliability Estimation for Safety-Critical Systems’ in the TNSCST Sponsored 8th International Conference on Latest Trends in Science, Engineering and Technology (ICLTSET’22) organized by Karpagam Institute of Technology, Coimbatore, 20th & 21st of May 2022.
17. Anand, Anirudh, Karthik Raja Anandan, Bhuvana Jayaraman, and Mirnalinee Thanga Nadar Thanga Thai. “Simple Neural Network based TB Classification.” (2021). Vol.2936, pp. 1145-1150
18. Vignesh, B., Sricharan, P. P., Shankrith Chokkalingam, S., Bhuvana, J., & Bharathi, B. (2022). E-Biometric Voting Machine. In Futuristic Communication and Network Technologies (pp. 505-516). Springer, Singapore.
19. Aarthi Suresh Kumar, Anirudh A, Jeet Golecha M, Karthik Raja A, Bhuvana Jayaraman, T. T. Mirnalinee, “Multi Regressor Based User Rating Predictor for ImageCLEF Aware 2022.” (2022). ImageCLEF: Multimedia Retrieval Challenge, CEUR Workshop Proceedings (CEUR-WS.org), vol. 3180, pp. 1596-1607
20. T.T. Mirnalinee, Bhuvana J, Kalaivani Kumaran, Tejas Sivan, Venkataramanan Venkateswaran, “Machine usage Prediction using Deep Learning Techniques”, In International Conference on Rough Set Theory and Mathematical Applications ICRSMA 2021, pp. 83-84.
21. Ujjwala Balwal, Srinivasa Arun Yeragudipati, Bhuvana Jayaraman, Mirnalinee TT published a paper titled, ” Deep Learning based TB Severity Prediction ” In 11th CLEF conference, CEUR, Vol.2696, paper 96. pp.1-7, Sep 22-25, 2020.
22. Ganapathy, Hariny, Geetika Bandlamudi, L. Yamini, J. Bhuvana, and T. T. Mirnalinee published a paper titled, “Deep learning models for estimation of flood severity using Satellite and News Article Images.” (2019). In MediaEval?2019, Multimedia Benchmark Workshop, 27-29 October, Sophia Antipolis, France, Working Notes Proceedings of ceur-ws
23. Siddharth Sriraman, Srinath Srinivasan, Vishnu K Krishnan, Bhuvana J, T.T. Mirnalinee, published a paper titled, MediaEval 2019: LRCNs for Stroke Detection in Table Tennis, In MediaEval?2019, Multimedia Benchmark Workshop, 27-29 October, Sophia Antipolis, France, Working Notes Proceedings of ceur-ws.
24. Marimuthu S , Bhuvana J and Mirnalinee T T, “Disease Detection in Tomato Plants using Deep Learning”, Intelligent Systems and Computer Technology,  Advances in Parallel Computing, IOS Press, 2020, pp. 190-195, 2020
25. Nitin Namath Appiah Balaji, B. Bharathi and J. Bhuvana “Legal Information Retrieval and Rhetorical Role Labelling for Legal Judgements”, CEUR Workshop, FIRE 2020: Forum for Information Retrieval Evaluation, December 16-20, 2020, Hyderabad, India., ISSN: 1613-0073, Vol. 2826, 26-30, Cited by 1
26. Nitin Nikamanth Appiah Balaji, B. Bharathi and J. Bhuvana, “SSNCSE_NLP@Dravidian-CodeMix-FIRE2020: Sentiment Analysis for Dravidian Languages in Code-Mixed Text”, FIRE 2020: Forum for Information Retrieval Evaluation, December 16-20, 2020, Hyderabad, IndiaISSN: 1613-0073, Vol. 2826 pp.554-559.
27. Bharathi B, Bhuvana J and Nitin Nikamanth Appiah Balaji, SSNCSE-NLP @ EVALITA2020: Textual and Contextual Stance Detection from Tweets Using Machine Learning Approach.    In EVALITA 2020 Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. CEUR, Vol. 2765, pp. 1-6.
28. Ganapathy, Hariny, Geetika Bandlamudi, L. Yamini, J. Bhuvana, and T. T. Mirnalinee. “Deep learning models for estimation of flood severity using Satellite and News Article Images.” (2019). MediaEval October 2019, Multimedia Benchmark Workshop, Working Notes Proceedings of ceur-ws
29. Uma M, Sneha V, Sneha G, Bhuvana J and  Bharathi B, “Formation of SQL from Natural Language Query using NLP”, 2019 International Conference on Computational Intelligence in Data Science (ICCIDS), Chennai, India, Date added: October 2019., DOI: 10.1109/ICCIDS.2019.8862080, Cited by 13
30. Shreyas Sriram, Susheel Polani Sathishkumar, and J. Bhuvana, “Braille Based Steganography System Using Dynamic Key Exchange”, In International Symposium on Security in Computing and Communication (SSCC) April 2019, CCIS Vol. 1208, pp. 360–373,  April 2020,Springer, Singapore
31. Arul Thileeban S., Sathiya Narayan C., Bhuvana J., Balasubramanian V. (2019) PKI Model Optimisation in VANET with Clustering and Polling. In: Abraham A., Gandhi N., Pant M. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2018. Advances in Intelligent Systems and Computing, vol 939. Springer, Cham. https://doi.org/10.1007/978-3-030-16681-6_32
32. Bharathi, B., and J. Bhuvana. “Domain name detection and classification using deep neural networks.” In International Symposium on Security in Computing and Communication, pp. 678-686. Springer, Singapore, 2018.
33. Bharathi, B., and J. Bhuvana. “Statistical testing based feature selection for Native Language Identification INLI@ FIRE2018.” In FIRE (Working Notes), pp. 59-67. 2018.
34. Bharathi, B., M. Anirudh, and J. Bhuvana. “Bharathi SSN@ INLI-FIRE-2017: SVM based approach for Indian Native Language Identification.” In FIRE (Working Notes), pp. 110-112. 2017.
35. Bhuvana, J., and Chandrabose Aravindan. “Preferential local search with adaptive weights in Evolutionary Algorithms for Multiobjective Optimization Problems.” In 2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR), pp. 358-363. IEEE, 2011.
36. Bhuvana, J., and C. Aravindan. “Design of hybrid genetic algorithm with preferential local search for multiobjective optimization problems.” In International Conference on Advances in Information Technology and Mobile Communication, pp. 312-316. Springer, Berlin, Heidelberg, 2011.
37. SK Chaturvedi, Bhuvana J. “Parallelization of Generalized Processor Sharing Using Interleaved Stratified Timer Wheels”, National Multi-Conference on Innovative Computing Technology’2011
38. Divya, J Bhuvana, “Efficient and Secure Content Transcoding In Distributed Environment” National Conference on Latest Issues in Information Technology (LIIT 2010).
39. Frolic A, I. M., & J, B. (2016). Back Propagation Based Firefly Algorithm for Character Recognition. COMPUSOFT: An International Journal of Advanced Computer Technology, pp 1-6.

Book chapters

1. Ratnavel Rajalakshmi; J. Bhuvana; Shakti Swaroop Sahu; Ritesh Pradhan; Eliksha Maheshwari; Jyothsna Arun Kumar; Vanshika Mahajan, Empowering Health through Intelligent Insights: Dr. Symptoms — Your Pathway to Wellness, Chapter 18, Medical Internet of Things, 1st Edition, March 2026, CRC Press. DOI: 1201/9781003676812-18
2. Mirnalinee, T. T., J. Bhuvana, Daniel Jeswin Nallathambi, and Anirudh Muthukumar. “Deep Learning-Based Malware Detection and Classification.” In Confluence of AI, Machine, and Deep Learning in Cyber Forensics, pp. 93-116. IGI Global, 2021.
3. Parihar, Giriraj, Ratnavel Rajalakshmi, and J. Bhuvana. “Multi‐Lingual Handwritten Character Recognition Using Deep Learning.” Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications (2021): 155-180.  Wiley Publications. https://doi.org/10.1002/9781119785750.ch7
4. Rajalakshmi, Ratnavel, Abhinav Basil Shinow, Aswin Murali, Kashinadh S. Nair, and J. Bhuvana. “An Efficient Convolutional Neural Network with Image Augmentation for Cassava Leaf Disease Detection.” In Recurrent Neural Networks: Concepts and Applications, pp. 289-305. CRC Press. October 2022

Awards & Recognition

• Dr. J. Bhuvana received the Best Faculty CSE from SSN Management (AY 2019­2020)
• Dr. B. Bharathi and Dr. J. Bhuvana won first place with a cash prize for Indian Native Language Identification task in FIRE 2018.
• Best paper award for the paper titled, ‘Design of hybrid genetic algorithm with preferential local search for Mult objective optimization problems. Advances in Information Technology and Mobile Communication, AIM 2011, Springer 2011.

Area of Research

• Computer Vision and Video Analytics
• Video Anomaly Detection and Intelligent Surveillance
• Edge AI and Edge Computing
• Machine Learning and Deep Learning
• Multimodal AI and Natural Language Processing
• Evolutionary Computing and Multi-objective Optimization

Links

• Google Scholar: Ku7gQJAAAAAJ
• ORCID:  0000-0002-9328-6989
• Scopus Author ID: 37100963000