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Faculty Profile

Dr. Sreedevi R Krishnan

Assistant Professor

Dr Sreedevi R Krishnan has been serving as an Assistant Professor in the Department of Computer Science and Engineering since March 2023. She completed her Ph.D. in Computer Science and Engineering at Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, in July 2025.

She holds a B.Tech in Computer Science and Engineering from MG University, Kerala, and an M.E. in Computer Science and Engineering from Vinayaka Mission’s University, Salem, Tamil Nadu, as well as a Diploma in Computer Engineering from the Technical Education Board, Kerala. With over 19 years of teaching and 5.5 years of research experience, Dr Sreedevi brings extensive academic expertise. She previously served for 15 years at SNM Institute of Management & Technology, Maliankara, and began her academic career in 2007 as Assistant Professor at Adi Shankara Institute of Engineering & Technology, Kalady.

She has delivered expert lectures in Database Management Systems, Operating Systems, Object-Oriented Programming, Computer Networks, and Cryptography. Her primary research interests are in Deep Learning and Computer Vision.

Dr. Sreedevi served as the co-coordinator of the ATAL FDP in January 2024 and coordinated the TCS online FEPs conducted in June and July 2025. She authored a book on Java Programming (2024) and received a patent titled Robot to Guide Visitors in August 2024. She contributes as a reviewer for reputed Scopus-indexed journals and has presented papers at international and national conferences. In addition, she has actively participated in numerous seminars, workshops, and Faculty Development Programmes, and is a permanent member of ISTE.

JOURNAL PUBLICATIONS (SCOPUS INDEXED)

Enhancing Video Anomaly Detection with Improved UNET and Cascade Sliding Window Technique”. Informatics and Automation, 23(6), 1899-1930, Nov 2024.
“Comprehensive Survey on Video Anomaly Detection using Deep Learning Techniques”, International Journal of Computational Vision and Robotics (IJCVR), Vol. 14, No. 4, July 2024
“Hybrid ResNet-50 and LSTM Approach for Effective Video Anomaly Detection in Intelligent Surveillance Systems”, International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 4, pp. 880–889, Sep. 2023.

CONFERENCE PROCEEDINGS PUBLICATIONS

“Advancements in video surveillance: Trends, applications, and deep learning innovations,” AIP Conference Proceedings, vol. 3260, no. 1, p. 020012, 2025.
“Advancements in Sign Language Recognition: Dataset Influence on Model Accuracy,” in Proc. 5th ICICNIS, pp. 1563–1568, 2024.
“Enhancing Emotion Classification through Bi-LSTM and GloVe Embedding: A Computational Framework for Sentiment Analysis,” in Proc. 3rd ICEEICT, Trichirappalli, India, pp. 1–5, 2024.
“Detection of Diseases in Tomato Leaves Using Deep Learning Models: A Survey,” in Proc. 1st ICTEST, Kochi, India, pp. 1–6, 2024.
“Advanced Machine Learning Approaches for Robust Credit Card Fraud Detection: A Comprehensive Evaluation and Practical Insights,” in Proc. ICACC, 2024.
“Automatic Detection of Anomalies in Video Surveillance Using Artificial Intelligence,” IOP Conf. Ser.: Mater. Sci. Eng., vol. 1085, no. 1, p. 012020, 2021.

Co-coordinator – AICTE Training and Learning (ATAL) Academy Faculty Development Programme

Exploring Explainable and Generative AI in Contemporary Machine Learning (15th – 20th January 2024)

Coordinator – TCS Online Faculty Enrichment Programmes (FEP)

Advanced LLM & Explainable AI (16th – 21st June 2025)
Cloud Computing and Applications: Industry & Research Perspectives and Practices (30th June – 2nd July 2025)