Category: Department of Computer Science

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.

In Journals

1. 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)
2. 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 ).
3. 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).
4. 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).
5. 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).
6. 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).
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

1. MKaviyaElakkiyaandDejey, "Towardsimprovingtheaccuracyinthediagnosisofschizophreniausing functional magnetic resonance imaging (fMRI)", Cognitive Systems and Signal Processing in Image Processing, 1st Edition - November 28, 2021, ISBN: 9780323860093.

In Conferences

1. Vaikunth M, Dejey D, Vishaal C, Balamurali S, “Optimizing Helmet Detection with Hybrid YOLO Pipelines: A Detailed Analysis”, Proc. of the 11^th International Conference on Computer Science and Engineering (CSEN 2024), held at Sydney, Australia from 21^st to 22^nd December, 2024. (DOI:10.48550/arXiv.2412.19467)
2. Dr.M.KaviyaElakkiyaandDr.Dejey,“CombinationofActivationFunctionswithintheLeNet-5 Framework for Autism Screening”, Proc. of The Sixteenth International Conference on Computing and Automation Engineering2024, Melbourne, Australia, from 14^th to 16^th March 2024, pp. 294-298.

(DOI: https://ieeexplore.ieee.org/xpl/conhome/10569140/proceeding)