Name: Prof. Dejey Designation: Professor Phone: +91-9442063892 Email:dejey@cutn.ac.in
Biographic Sketch:
Dr. Dejey is a Professor in the Department of Computer Science, CUTN, Tiruvarur. She earned her B.E. (2003), M.E. (2005)and Ph.D. (2011) in Computer Science and Engineering from Manonmaniam Sundaranar University, Tirunelveli. She was awarded UGC - JRF (2008) in Engineering and Technology. She served as Assistant Professor at Regional Campus–Tirunelveli (2010–2023) and later as Associate Professor at the College of Engineering, Guindy Campus (2023–2025) of Anna University.She has over 40 research publications, authored the book Cyber Forensics (Oxford University Press), and holds two patents and two copyrights. She has supervised ten scholars for the award of Ph.D. from Anna University. She has delivered 40 video lectures for the SWAYAM-PRABHA national platform. Her consultancy work for Tirunelveli and Thoothukudi Corporations amounted to ₹1.5 crore, and she was sanctioned a ₹23-lakh research grant from the Ministry of AYUSH.A recipient of the Silver Award for Excellence in IT in the AYUSH sector (2020) and the Active Consultant Award from Anna University (2023), she presented a paper at an international conference in Melbourne (2024), winning the Best Presentation Award. Her research interests include Signal, Image and Video Processing, Machine and Deep Learning, IoT, and Cyber Forensics.
Research Highlights :
Dr. Dejey’s research focuses on integrating advanced artificial intelligence and computational methods to solve real-world problems. Her recent work includes developing models for fish species classification and advancing autism screening through fMRI-based neural analysis. She has contributed to national education initiatives by developing a Course on Data Structures and Computer Algorithms for SWAYAM Prabha. Her ongoing projects explore AI, image processing, and high-performance computing. She also holds two Indian patents, demonstrating translational impact from research to innovation.
Recent Publications :
In Journals
M. Kaviya Elakkiya and Dejey, “Classification of autistic subjects employing modified volume local binary pattern (MVLBP) and Stacked Autoencoder (SAE) on functional magnetic resonance imaging (fMRI)”, Springer Multimedia Tools and Applications, August (2024). (DOI:https://doi.org/10.1007/s11042-024-19881-7)
M. Kaviya Elakkiya and Dejey, “Novel deep learning models with novel integrated activation functions for autism screening: AutiNet and MinAutiNet”, Elsevier Expert Systems with Applications, 238 (2024), October 2023, 122102. (DOI: https://doi.org/10.1016/j.eswa.2023.122102 ).
M. Kaviya Elakkiya and Dejey,Stacked Autoencoder with Novel Integrated Activation Functions for the diagnosis of Autism Spectrum Disorder, Springer Neural Computing Applications, April 2023. (DOI: 10.1007/s00521-023-08565-2).
M.KaviyaElakkiyaand Dejey, "RBM-GPwithNovel KernelsCoupled DeepLearningModelfor Autism Screening", Elsevier Engineering Applications of Artificial Intelligence, Volume 114, September 2022,105034. (DOI:10.1016/j.engappai.2022.105034).
T. Brindha Baskar and Dejey, "Enhancing the Compression Performance in Medical Images using a Novel Hex-Directional Chain Code (Hex DCC) Representation", Springer Soft Computing,Volume25, pp. 5807-5830,March2021.(DOI:10.1007/s00500-021-05645-0).
M. Nava Barathy and Dejey, "A Novel Protein Sequence Alignment-based Patch Similarity Estimation forTwo-levelData AggregationinWMSNs",SpringerWireless PersonalCommunications,April2021.(DOI: 10.1007/s11277-021-08099-7).
T. Kavitha Thangaraj and Dejey Dharma, "Optimized Fuzzy System Dependent Trust Scorefor Mobile Adhoc Network", Springer Wireless Personal Communications, December 2020, (DOI: 10.1007/s11277-020-07984-x). ISSN: 1572-834X.
As Book Chapter
MKaviyaElakkiyaandDejey, "Towardsimprovingtheaccuracyinthediagnosisofschizophreniausing functional magnetic resonance imaging (fMRI)", Cognitive Systems and Signal Processing in Image Processing, 1st Edition - November 28, 2021, ISBN: 9780323860093.
In Conferences
Vaikunth M, Dejey D, Vishaal C, Balamurali S, “Optimizing Helmet Detection with Hybrid YOLO Pipelines: A Detailed Analysis”, Proc. of the 11th International Conference on Computer Science and Engineering (CSEN 2024), held at Sydney, Australia from 21st to 22nd December, 2024. (DOI:10.48550/arXiv.2412.19467)
Dr.M.KaviyaElakkiyaandDr.Dejey,“CombinationofActivationFunctionswithintheLeNet-5 Framework for Autism Screening”, Proc. of The Sixteenth International Conference on Computing and Automation Engineering2024, Melbourne, Australia, from 14th to 16th March 2024, pp. 294-298.
