Baggyalakshmi Thangaraj

• Exam cell coordinator: Organizing the internal and external examination schedules for students, ensuring there are no clashes in the time table
• Deliver undergraduate and graduate-level lectures on core AI and ML topics including supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning.
• Design and update curriculum to reflect the latest developments in AI, integrating practical tools such as TensorFlow, PyTorch, and scikit-learn.
• Supervise student research projects and theses in areas such as computer vision, neural networks, generative models, and ethical AI.
• Conduct original research and publish in top-tier journals and conferences (e.g., NeurIPS, ICML, CVPR).
• Lead collaborative research grants and industry partnerships focused on real-world AI applications such as healthcare diagnostics, robotics, and intelligent systems.
• Mentor PhD candidates and junior faculty in research methodology, publication strategy, and career development.
• Participate in academic committees, conferences, and peer-review activities to contribute to the advancement of the AI/ML academic community.

Exam cell coordinator: Organizing the internal and external examination schedules for students, ensuring there are no clashes in the time table.

I am proud to have authored 44 research papers published in journals that are included in the UGC CARE list. The UGC CARE list is an initiative by the University Grants Commission (UGC) of India, designed to recognize and maintain high standards of academic and ethical publishing.

Scopus-Indexed Journals (6 Publications)

1. Dr. N. Baggyalakshmi, Dr. A. Kavitha. Modified Tensor Factorization Framework for Efficient Microblogging Content Propagation Modeling. Journal of Advanced Research in Dynamical and Control Systems, 6, 118–126, 2017. (Scopus, ISSN: 1943-023X)

2. Dr. N. Baggyalakshmi, Dr. A. Kavitha. Enhanced Tensor Factorization Framework Using Non-Negative and Probabilistic Approaches. International Journal of Engineering & Technology, 7(10), 88–93, 2018. (Scopus, ISSN: 2227-524X)

3. Dr. N. Baggyalakshmi, Dr. R. Revathi, Dr. Bosco Paul Alapatt, Dr. Felix M. Philip. A Framework for Thyroid Disease Prediction Using ML Techniques. Journal of Cardiovascular Disease Research, 12(5), 1057–1065, 2021. (Scopus, ISSN: 0975-3583)

(The following are UGC/Peer-reviewed, not Scopus-indexed — for clarity, these should go under a separate UGC/Other Journals section):
4. Micro Blogging in Social Networks – A Survey, IJARCCE, 6(7), 76–81, 2017.
5. Hybrid Propagation Models and Analysis, IJRAR, 7(6), 89–97, 2018.
6. Content Propagation Using SVM and SVD Analysis, IJCSET, 4(8), 1–8, 2018.

UGC CARE Listed Journals (44 Publications)

• Instruction: Deliver lectures, lead discussions, and facilitate labs or practical sessions.
• I published a scopus journal Dr. N. Baggyalakshmi, 2Dr. R. Revathi, 3Dr. Bosco Paul Alapatt, 4Dr. Felix. M. Philip, "A Framework For Thyroid Disease Prediction System Using Machine Learning Techniques" Journal of Cardiovascular Disease Research ISSN: 0975-3583, 0976-2833 VOL 12, ISSUE 05, 2021 1057 & Scopus Indexed.