Dr. Sreeja M U

Assistant Professor
Indian Institute of Information Technology Kottayam
Valavoor P.O, Pala
Kottayam - 686635, Kerala, India.
Email: sreeja at iiitkottayam dot ac.in
Hello at: 00 91 04822202271
Honours and Achievements :
  • Chief Minister’s Nava Kerala Post doctoral fellowship 2022 by Kerala State Higher Education Council
  • UGC NET qualified
  • Best paper award for the paper titled “Intelligent Content Retrieval for Crime Investigation using MLLM” in IEEE 4th International Conference on Advances in Computing, Communication, Embedded and Secure Systems, June 2025
Education :
  • Post Doc, Department of Electronics, CUSAT under Nava Kerala Post doctoral fellowship, 2022
  • Ph. D, School of Engineering, Thesis titled: "Enhanced AI models for generic and genre-specific video summarization " from CUSAT, 2022
  • M. Tech., Computer Science, Cochin University of Science and Technology, 2012
  • B. Tech., Computer Science and Engineering, Calicut University, 2010
Funded Projects:
  • KSCTE student project titled “Green Dream: A deep learning based real-time model for automatic waste segregation from video streams”, Fund Sanctioned - Rs. 10,000 (Status: Completed, 2022, Role: PI)
Invited Talk/Sessions delivered/organized::
  • AICTE QIP training program course for external faculty on Python for Machine Learning during the month of July 2024.
  • Session on Data Pre-processing and Hands on as part of Training Program on Data Science Essentials: Python powered learning at IIIT Kottayam, June 2025.
  • Session on Data Pre-processing and Hands on as part of Training Program on Data Science Using Py-thon at IIIT Kottayam on 12th June 2024.
  • Organized six days online workshop cum Faculty Development Programme on “Geospatial data: Tools, Techniques and Applications” from 23rd to 28th June 2025
  • One day Interactive session on ‘Deep learning for Video Analytics’ at Toc H Institute of Science and Technology , 2022
  • ‘Video skimming and summarization’ as part of ISTE sponsored 5 days short term training program on Machine Learning for Cyber Security at Toc H Institute of Science and Technology, 2023
  • Session chair, Exemplar 2023 at MES College of arts and science Marampally, 2023
Publications
Journals
  1. Sreeja, M. U., Abin Oommen Philip, & Supriya, M. H. (2024). Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey. Journal of King Saud University-Computer and Information Sciences, 102096. (SCI, IF: 5.2)
  2. Abin Oommen Philip, Sreeja M U, Rosebell Paul, RA.K. Saravanaguru, Computers and Electrical Engineering, Volume 117, 2024, 109284 (SCI , IF: 4.9)
  3. Sreeja M. U., Binsu C. Kovoor, “GenSpecVidOnt: A Reference Ontology for Knowledge Based Video Analytics with Multimodal Genre Detection”, Springer Multimedia Tools and Applications, 1-3 (2023) (SCI, IF:3.6)
  4. Sreeja M. U., Binsu C. Kovoor, “A unified model for egocentric video summarisation: an instance-based approach”, Computers and Electrical engineering Elsevier, Volume 92, June 2021,107161 (IF: 4.3, SCI)
  5. Sreeja M. U., Binsu C. Kovoor , “An aggregated deep convolutional recurrent model for event based surveillance video summarisation: A supervised approach” IET Computer Vision, Vol. 15: pp. 297-311. (IF:1.484,SCI)
  6. Sreeja M. U., Binsu C. Kovoor, “Towards Genre-Specific Frameworks For Video Summarisation: A Survey”, Journal of Visual Communication and Image Representation (2019) Elsevier,62(July 2019),pp.340-358, (IF:2.887, SCI )
  7. Sreeja, M.U., Kovoor, B.C., “A multi-stage deep adversarial network for video summarization with knowledge distillation”, Springer Journal of Ambient Intelligence and Humanized Computing (January, 2022), pp.1-16. (Scopus)
  8. Sreedhar, S., Philip, A.O. & Sreeja, M.U. Autotrack: a framework for query-based vehicle tracking and retrieval from CCTV footages using machine learning at the edge. Int. j. inf. tecnol. (2023) (Scopus)
  9. Sreeja M U, Supriya M H, “A Deep Convolutional Model for Heart Disease Prediction Based on ECG Data with Explainable AI”, WSEAS Transactions on Information Science and Applications, Volume 20, 2023, Art. #29, p.254-264 (Scopus)
Conference Proceedings and Book Chapters
  1. Megha Raju, Ajees A P, Abin Oommen Philip, Sreeja M U, “Intelligent Content Retrieval for Crime Investigation using MLLM”, IEEE 4th International Conference on Advances in Computing, Communication, Embedded and Secure Systems, June 2025
  2. Sreeja M. U., Binsu C. Kovoor, “Object driven Semantic Multi-Video Summarisation based on ontology”, Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems, ACM, December 2019, Article 6.
  3. Sreeja M. U., Binsu C. Kovoor, “Enhanced Block-Based Feature Agglomeration Clustering for Video Summarization”, Machine Learning Algorithms and applications Wiley (2021)
  4. Sreeja M. U., Binsu C. Kovoor, “Multi Agent Based Extended Travel Support System using JADE framework”, In Proceedings of International Conference of Energy Communications, Data Analytics and Soft Computing IEEE, Issue V, pp. 443-446, Aug. 2017
  5. Raechel David, Binsu C. Kovoor, Sreeja M. U., An Improved Audio Based Key Frame Detection Model for Movie Summarization (April 13, 2020). SSRN Proceedings of ICAEEC-2019, IIIT Allahabad India, 31st May - 1st June, 2019
  6. Prince Puthussery, Nikhita Mariam Cherian, T. K. Gokul Kiran, M. U. Sreeja, Abin Oommen Philip; Green dream: A deep learning based real-time model for automatic waste segregation from video streams. AIP Conference Proceedings 23 May 2023; 2773 (1): 020009.
  7. M. K. Manju, Abin Oommen Philip, M. U. Sreeja; Exploratory data analysis of Indian Premier League (IPL). AIP Conference Proceedings 23 May 2023; 2773 (1): 020005.
  8. A. Ajith, A. O. Philip, S. Sreedhar and M. U. Sreeja, "Road Accident Detection from CCTV Footages using Deep Learning," October 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), 2022, pp. 1354-1361
    9. IPRs
  9. Automated Real-Time Traffic Surveillance and Evidence Management System Using Deep Learning, Blockchain, and Edge Computing, Indian Patent Published on 22/12/2023 under Application No.202341079753 A (Published, Filed for Grant).
  10. 10. Explainable AI enabled multifunctional device for heart disease prediction, detection and analysis with long term synthesis of multimodal data archive on cloud (Application Number: 202441085707) ((Published, Filed for Grant).
Professional Activities
Reviewer:
  • Engineering Applications of AI
  • Signal, image and video processing
  • Scientific reports
  • Elsevier Displays
  • Computers and Electrical Engineering, Elsevier
  • International Journal of Applied and Computational Mathematics
  • Multimedia Systems Springer
  • Connection Science journal, Taylor and Francis.
  • International Conference of Humans and Technology 2022.
  • International Conference on Computing, Communication, Security and Intelligent Systems 2022.
  • International Conference on Intelligent Systems Design and Applications (ISDA 2023)
Research Interests :
  • Computer Vision
  • Machine Learning
  • Deep learning
  • Explainable AI for healthcare
  • Video summarization
Professional body membership:
  • IEEE member
Online Certifications:
  • Python for Data Science (NPTEL)
  • Deep Learning-part 1 (NPTEL)
  • Data Mining (NPTEL)
  • LaTex Spoken Tutorial project (IIT Bombay through ICT, MHRD)