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Dr. Revathi T

Assistant Professor

Alliance College of Engineering and Design

Dr. Revathi T is a highly accomplished Assistant Professor with over 7 years of experience in research and teaching. Her expertise lies in Deep Learning, Machine Learning, Image Processing, and NLP.

Dr. Revathi's educational background is impressive. She holds a PhD in Computer Science from Anna University, where her thesis focused on improving object detection using deep learning with image enhancement techniques. She also has a Master's degree in Computer Science from Anna University and a Bachelor's degree from Auxilium College.

Her research achievements are noteworthy. She has published extensively in conferences and journals like Springer, IEEE, and Inderscience.  Her research spans various areas including object detection, image segmentation, and deep learning applications. Dr. Revathi has also received a Best Paper Award for her work in real-time human detection and counting.

Dr. Revathi's passion for research extends beyond publications. She actively serves as an editor for books published by IGI Global and CRC Press.  She has demonstrably strong editorial skills and is well-versed in the latest advancements in AI.

In addition to her research contributions, Dr. Revathi is a dedicated educator. She has experience teaching at both Jain University and Woxsen University. Her responsibilities include delivering lectures, guiding projects, and contributing to departmental activities. She recently co-convened the International FutureTech Summit at Woxsen University.

Journals

  • Foreground object extraction using fuzzy c means with bit-plane slicing and optical flow, Journal of Theoretical and Applied Information Technology, 2014
  • Object Detection with hard shadow removal in a still image, International Journal of Applied Engineering Research, 2015.
  • Adaptive Foreground Object Extraction in Real Time Videos Using Fuzzy C Means with Weber Principle, Indian Journal of Science and Technology, 2016.
  • An optimized background modelling for efficient foreground extraction, International Journal of High Performance Computing and Networking, Inderscience, 2017.
  • Dynamic background modelling using multi-swarm optimization, International Journal of Bioinformatics Research and Applications, Inderscience
  • Deep quaternion Fourier transform for salient object detection, Journal of Intelligent & Fuzzy Systems, IOS press, 2021.
  • Dynamic Energy Retaining nodes in Wireless Sensor Network, NeuroQuantology, 2022.

 Patents

  • Deep learning techniques to identify prime factors for handling strategic and crisis management – published (2022).
  • Monitoring the hygienic Kitchen in the Restaurant or any food providing institution, organization and hospital for good public health using embedded AI technology- Applied (2023).
  • Blockchain for Credit transfer, Candidacy Identification and Fraud Detection for Educational transcript verification-Applied (2023).

Project

  • "A test bed for identification of infection in Prawns using wireless sensors"- DST project worked as Individual JRF
  • "Empowering Women's Safety in Public through Intelligent Neural Network System “The Development of a Secure Zone Automation System”"- submitted under DST, SEED division (2023).

Book Editor

  • Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases”, IGI global, 2023
  • Predictive Analytics and Generative AI for Data-Driven Marketing Strategies, CRC Press, Taylor and Francis, 2023

Book Reviewer

  • Exploring Ethical Dimensions of Environmental Sustainability and Use of AI, IGI Global, 2023.
  • Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases, 2023.
  • Handbook of Research on AI-Based Technologies and Applications in the Era of the Metaverse, 2023.

 Event Organizer

  • The third international conference on Artificial Intelligence & Knowledge Processing (AIKP23)- one of the co-convenors, woxsen university, October 2023.
  • FutureTech Summit, Woxsen university, Dec 2023-Coordinator.      

  • Marker controlled watershed segmentation using bit-plane slicing, Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCP2012), world comp.
  • Analysis of Image Segmentation Techniques on Morphological and Clustering, Intelligent Computing, Networking, and Informatics: Proceedings of the International Conference on Advanced Computing, Networking, and Informatics, India, June 2013, Springer.
  • Keyword-Based Journal Categorization Using Deep Learning, Soft Computing for Problem Solving: SocProS 2017, Volume 1, Springer.
  • Deep learning for people counting modelSoft Computing for Problem Solving: SocProS 2018, Volume 1, springer.
  • Analysis of Flat and Hierarchical Routing Structure Supported Protocol in Mobile Ad-hoc Networks, 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), IEEE