DEPARTMENT OF INFORMATION TECHNOLOGY

RESEARCH AND DEVELOPMENT

Anna University Recognized Department R&D Centre

SI.NO.	Name of the department	Recognized Department R&D Centre No	University
1	Information Technology	4467813	Anna University, Chennai

Anna University Recognized Supervisor Details

SI.NO.	Name of the Faculty member	Supervisor Number	Research Area	University
1.	Dr.V. Anusuya	4040078	Medical Image Processing, Data Science, Image Processing, Artificial Intelligence	Anna University, Chennai

Ph.D. Details of faculty members in IT Department

SI.NO.	Name of the Faculty member	Designation	University	Status
1.	Dr.K.Palraj	Associate Professor	Anna University, Chennai	Awarded (2023)

Ph.D. Pursing Faculty Members Details in the IT Department

SI.NO.	Name of the Faculty member	Designation	University	Status
1.	Mrs.G.Mareeswari	Assistant Professor	Anna University, Chennai	Confirmation Completed
2.	Mr. S.Sakkaravarthi	Assistant Professor	Anna University, Chennai	Provisional registration Confirmed
3.	Mrs. G.Sivasathiya	Assistant Professor	Anna University, Chennai	Provisional registration Confirmed
4.	Mrs. M. Rethinakumari	Assistant Professor	Anna University, Chennai	Provisional registration Confirmed

Ph.D. Scholars Registered Under Department of Information Technology R and D Centre

SI.NO.	Name of the Faculty member	Registration Number	Area of Research work	Name of the Supervisor	Status
1.	Shirin Ayisha Maryam M	21284897160	Network Security	Dr.V.Anusuya	Course Work completed
2.	Sakkaravarthi S	24134897489	Medical Image Processing	Dr.V.Anusuya	Provisional registration Confirmed
3.	Aarthi V M	24234897321	Image Processing	Dr.V.Anusuya	Provisional registration Confirmed
4.	Mrs. Rethinakumari M	25234891398	Image Processing	Dr.V.Anusuya	Provisional registration Confirmed
5.	Mr. Vadivel Murugan G	25144891264	Image Processing	Dr.V.Anusuya	Provisional registration Confirmed
6.	Bamila Rachel A	25244897199	Medical Image Processing	Dr.V.Anusuya	Provisional registration Confirmed

IT Copy Rights Details

SI.NO.	Name of the Author(s)	Title of Work	Registration Number / Diary Number	Filing Date	Status	View / Download
1.	Dr. V.Anusuya Mrs.M.Rethinakumari Mrs.G.Mareeswari	CCS334 - Big Data Analytics Laboratory Manual	L-156103/2024 & 28169/2024-CO/L	09.09.2024	Registered
2.	Sivasathiya Ganesan	AI-Based Smart Healthcare System For Disease Detection And Management	1228617	02.12.2024	Registered
3.	Dr. V.Anusuya, Mrs.M.Rethinakumari, Mrs.G.Sivasathiya	Mobile Application Development laboratory	LD-26153/2025-CO	30/06/2025	Registered

IT Patent Details

SI.NO.	Name of the Inventor(s)	Title of the Invention	Application Number	Filing Date	Status	Date of Publication	View/Download
1.	Dr. V.Anusuya Mr. S.Sakkaravarthi	Sensor Enabled Smart Locker System	202441050109 A	30.06.2024	Published	05.07.2024
2.	Dr. V.Anusuya Mr. S.Sakkaravarthi	AI Powered platform for Indian Knowledge system with dynamic content and interactive graphs	202441048128 A	23.06.2024	Published	05.07.2024
3.	Dr. V. Anusuya Mrs. M. Rethina Kumari	Alert System For Hearing Impaired Children	202441090333	21/11/2024	Published	29/11/2024
4.	Dr. S. Senthilkumar M. G. Santhosh Raja G. Mareeswari AswaniKumar Unnam Dr. T. Balachander Dr. Jogendra Kumar Dr. S. Aravindh Dr. R. Deepa	Dynamic Resource Allocation for IoT Applications Through AI-Enabled Cloud Systems for Efficient energy management in smart homes	202541008041	30/01/2025	Published	07/02/2025
5.	Nakka Maisaiah, T V Divya, G.Sivasathiya, Kalamani A, Ashok Ganga, Dinesh CM, Dr S Jagannathan, Dr. CH. Asha Immanuel Raju, P. Sudharsan	Predicting Asthma prevalence from Air pollution data using supervised algorithms	202441102027	23/12/2024	Published	10/01/2025
6.	Ms. Meenakshi S Dr. H. Vennila Dr. N. Mahalakshmi Dr. P. S. Gomathi Dr. Jeya Caleb J Ms. Jeba Malar. M Dr. V. Samuthira Pandi Dr. K. Palraj Dr. Sampath K Ms. Munjeti Sowjanya	Artificial Intelligence Enabled Image Analysis for Battery Performance Optimization Using Deep Neural Networks	202541088621	17/09/2025	Published	17/10/2025

Academic Year 2025-2026

JOURNAL PUBLICATIONS

1. J. Sutha, K. Palraj, P. Elamparithi, R. Prabhu, Advanced artificial intelligence-based classification of corneal layers using residual self-attention and dilated convolutional networks: enhancing biomedical signal processing, Biomedical Signal Processing and Control, Volume 113, Part B,2026,108758, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2025.108758.
2. Sheikh Muhammed Masud, Sukanta Chandra Swain, S. Swathi, T. Sathiya, Bollu Manikyala Rao, Padmaja Kadiri, N. Krishnammal, Palraj Karuppasamy, Impact of Various Ethical Considerations On Sales Performance In The It Industries Using Consultative Selling Techniques, Vol.32,No.S8,2025. https://doi.org/10.5281/zenodo.17607385.
3. Nirmala Venkatachalam, Leninisha Shanmugam, K. P. Revathi, G. Jeyaram, and G. Sivasathiya , An Effective Vision Transformer-aided Intelligent Efficientnet B7 with Adaptive Tumor Segmentation for Breast Cancer Diagnosis using Thermography Images, Journal of Mechanics in Medicine and Biology(2025) ,https://doi.org/10.1142/S0219519425500265
4. Palraj K, Kotamma M, Alphy M, Meera K Anandhi K, Multimodal Image Fusion Using MRI and Ultrasound to Diagnose Fabry Disease. Journal of Environmental Protection and Ecology (2025), 26(4).
5. Chandravadhana, S.; Anusuya, V.; Kirubha, D.; Archana, P.; Ravikiran, P, DiabEyeNet: Integrating Residual Inception Networks and Chaotic Optimization for Robust Diabetic Retinopathy Detection. Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2025). https://doi.org/10.1007/s40998-025-00897-0.

BOOK CHAPTER

1. Shanmugasundaram S, Sukumar M, Mathan Kumar A, Sangavi M. S, Anusuya V, Euodial A, Petchiammal A, Priyanga G (2025), Chapter Titled, Solar Panel Tilting System Using IoT, in the book Addressing Urbanism Challenges With AI and the Internet of Things, DOI: 10.4018/979-8-3693-8141-0.ch007
2. M. Uma Maheswari , Sivasathiya Ganesan, Pranjali Swapnil Thakre , Chapter Titled, AI Driven Medical Imaging and Computer Vision Techniques for Enhanced Disease Diagnosis and Treatment Planning, in the book IoT-Enabled Smart Health Care Systems, DOI: 10.71443/9789349552548-Chapter8, ISBN13: 9789349552548

Academic Year 2024-2025

JOURNAL PUBLICATIONS

1. Mareeswari Ganesan, Balasubramanian Chelliah, Optimizing Task Offloading and Resource Management in 6G Networks Through a Hierarchical Edge-Fog-Cloud Architecture. International Journal of Communication Systems (2025)., 38(8), https://doi.org/10.1002/dac.70102
2. Rajakani M, Joshua R. R, Sakkaravarthi S, Chitra R. J, Mohamed Faizal M. K, Anthonisamy A, Philip, JM , Rajaram A, Birth Defects Diagnosis and Classification Using Hybrid Deep Learning Through the Three-Dimensional Ultrasound Equipment. Journal of Environmental Protection and Ecology (2025), 26(3).
3. Karuppasamy Palraj., Wekalao, J. & Rajakannu, A. Graphene Terahertz Metasurface Sensor Enabled by AI for Rapid, High-Precision Sperm Detection in Fertility Assessment. Plasmonics (2025). https://doi.org/10.1007/s11468-025-03052-x
4. Karuppasamy Palraj , Murugesan, D. & Wekalao, J. Design and Optimization of a Hybrid Graphene-Copper Terahertz Metasurfaces Biosensor for High- Sensitivity Malaria Detection: Integration of Machine Learning for Performance Enhancement and Binary Encoding Applications. Plasmonics (2025). https://doi.org/10.1007/s11468-025-03099-w
5. D. Dhinakaran, S. Edwin Raja, A. Ramathilagam, G. Vennila, A. Alagulakshmi (2025), Ethical and legal challenges with IoT in home digital twins, MethodsX, Volume 14,2025, https://doi.org/10.1016/j.mex.2025.103409.
6. Jerard, Vjm, Ledalla, S., Kadiri, P., Vijayarajan, SM, Alagulakshmi, A., Alagarsamy, M., Philip, Jm, & Ayyasamy, R. (2025). Efficient Image Reconstruction Using Novel Sampling Algorithms In Score-Based Generative Models For Rare Neurodegenerative Diseases. In Journal of Environmental Protection and Ecology (Vol. 26, Issue 2, pp. 484494).
7. Finney Daniel Shadrach, K. Vidhya, K. Palraj , C. Chandru Vignesh, Sultan Almotairi , M. Jenish Dev (2025), Hexa-mobile net for NOMA Rayleigh fading channel estimator via Hexagonal pilot insertion, Ain Shams Engineering Journal, 16(04). DOI: https://doi.org/10.1016/j.asej.2025.103317
8. V. Anusuya , Stency V. S., G. Srividhya, M. K. Mohammed Faizel, G. Arul Kumaran, R. Santhosh, P. Sherubha ,Performance Comparison of Wavelet Transforms based Medical Image Compression, Journal of Cybersecurity and Information Management (JCIM) , Vol. 16, No. 02, PP. 01-12, 2025 , DOI: https://doi.org/10.54216/JCIM.160201
9. G. Prabaharana, S.M. Udhaya Sankar , V.Anusuya, K. Jaya Deepthi, Rayappan Lotus, R. Sugumar , Optimized disease prediction in healthcare systems using HDBN and CAEN framework , ScienceDirect, MethodsX , https://doi.org/10.1016/j.mex.2025.103338
10. Prabakaran Kasinathan , Jagannathan Jayachandran , R. Jothi Chitra , Manikandan Egambaram , Sentamilselvi Manivel and K. Palraj (2024) Evaluating Water Quality through Macroinvertebrate Diversity and Physicochemical Parameters in the Thamirabarani River Basin, Global NEST Journal, 26(10). DOI: https://doi.org/10.30955/gnj.06044.
11. M. Mohanapriya, Anusuya.V, Aravindhan. K, Krishnaveni. N, Santhosh.R, and Gowthami. D (2024) Optimizing Task Offloading in Vehicular Network (OTO): A Game Theory Approach Integrating Hybrid Edge and Cloud Computing. Journal of Cybersecurity and Information Management, 15(1), pp. 115-132. DOI: https://doi.org/10.54216/JCIM.150110

CONFERENCE PUBLICATIONS

1. T. R. K. Priya, M. Rethinakumari, C. Valarmathi, R. Anuja, R. S. Devi and A. Kavyalakshmi, "Intelligent Routing Protocols for Secure and Efficient Transmission of IoT Medical Data," 2024 International Conference on Advancement in Renewable Energy and Intelligent Systems (AREIS), Thrissur, India, 2024, pp. 1-6, doi: 10.1109/AREIS62559.2024.10893613
2. S, K. Amsaveni, M. Saraswathi, A. Alagulakshmi, F. J. I and G. U. Maheswari, "Efficient Mechanism for Identifying Appropriate Phishing Websites Utilizing Machine Learning," 2025 International Conference on Intelligent Computing and Control Systems (ICICCS), Erode, India, 2025, pp. 1564-1569, doi: 10.1109/ICICCS65191.2025.10985317.
3. Palraj Karuppasamy, V. P. Monickaraj, R. Subramaniam, D. J, M. M and M. Alagarsamy, "Deep Learning Advancing Image Classification - Neural Network Design and Performance Analysis," 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication Computing and Automation (ICAECA), Coimbatore, India, 2025, pp. 1-5, doi: 10.1109/ICAECA63854.2025.11012262.

BOOK CHAPTER

1. Singaravelan Shanmugasundaram, Arun Shunmugam D, Anjel Jean Vincy K, Vijaya Rani G, Noormohamed I, Suresh Chinnathampy M, Dhivya M, Mareeswari G (2024), Chapter Titled, Automatic Hybrid Cnn Based Skin Cancer Classification , in the book Signal and Image Processing Techniques for Defense, Security, and Healthcare. DOI: 10.4018/979-8-3693-3840-7
2. Sayyad Mohd Zakariya, Dr.S.Pavani , Mrs.G.Sivasathiya , Mr.Sathiyaraj Chinnasamy, The C Programming Language, REST publisher, April 2025, ISBN: 978-81-985636-1-3
3. V Anusuya, A Baseera, B Dhiyanesh, PBA Kareem and P Shanmugaraja (2024), Chapter Titled, Predictive Modeling of Rheumatoid Arthritis Symptoms: A High-Performance Approach Using HSFO-SVM and UNET-CNN in the book Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications (Wiley), pp: 325-347. DOI:https://doi.org/10.1002/9781394272587.ch14

BOOK PUBLICATION

1. Dr. Pramod kumar Sharma, Dr. Kogila Palanimuthu, Mr. Mahendra Sudhir, Dr. K. Palraj, Advanced Research Methodology : Techniques, Tools And Practical Applications, Scicrafthub Publication, December 2024, ISBN: 978-81-982185-1-3

Academic Year 2023-2024

JOURNAL PUBLICATIONS

1. S Sankar Ganesh , Gnanajeyaraman Rajaram , V.Anusuya , T.Thirumalaikumari , K Navaz , M.Carmel Sobia (2024) , Next- Generation Threat Detection and Mitigation in 6G Wireless Networks Using IAM,ZTNA and Advanced Security Mechanisms , in the Journal of Electrical Systems 20-5s(2024):2034-2041.
2. Baseera A, Dhiyanesh B, Kareem P. B. A, Shanmugaraj P, & Anusuya V, (2024). Integrative Approach for Precision Prediction of Chronic Kidney Disease: Anfis-Based Feature Selection and DCNN Classification. International Journal of Intelligent Systems and Applications in Engineering, 12(20s), 403413. https://www.ijisae.org/index.php/IJISAE/article/view/5152
3. M Ramkumar, P Shanmugaraja, V Anusuya, B Dhiyanesh (2023), Identifying cancer risks using spectral subset feature selection based on multi-layer perception neural network for premature treatment, in the Journal of Computer Methods in Biomechanics and Biomedical Engineering,pp:1-13. DOI: 10.1080/10255842.2023.2262662.
4. Mareeswari G, Erana Veerappa Dinesh S, Vijayalakshmi K & Balasubramanian C. (2022). Certain Investigations on Scope and Challenges in Task Scheduling Techniques on Mobile Cloud Computing. Computer Integrated Manufacturing Systems, 28(12), pp:23042319.

CONFERENCE PUBLICATIONS

1. Anusuya V , Kamini K , Lakshmi Priya G ,Rajadharshini S , Sarumathi M ,presented a paper Underwater image enhancement for low light images ,International conference on Recent trends in science and Engineering and Technology ,Organized by Kamaraj College of Engineering and Technology on April 16,2024.
2. Dr.V.Anusuya , Ms.L.Krishnakumari, presented a paper, "Edge Enhanced densely connected convolutional network for liver Tumor segmentation", International conference on Advanced computing & Communication Systems, Organized by Sri Eswar college of Engineering on 14th and 15th,March 2024.
3. R. Santhosh, M. Abinaya, V. Anusuya, D. Gowthami, presented a paper, ChatGPT: Opportunities, Features and Future Prospects in the 7th International Conference on Trends in Electronics and Informatics (ICOEI), organized by SCAD College of Engineering and Technology, Cheranmahadevi on 11th to 13th April ,2023.
4. M. Ramkumar, P. Shanmugaraja, B. Dhiyanesh, G. Kiruthiga, V. Anusuya, and B. J. Bejoy (2023), Bipolar Disease Data Prediction Using Adaptive Structure Convolutional Neuron Classifier Using Deep Learning, Inventive Communication and Computational Technologies(ICICCT - 2023), Gnanamani College of Technology, Namakkal India May 22nd to 23rd , 2023.
5. G. Mareeswari and E. V. Dinesh, "Deep Neural Networks based Detection and Analysis of Fake Tweets," 2023 4th International Conference on Signal Processing and Communication (ICSPC), Coimbatore, India, 2023, pp. 56-61, DOI: 10.1109/ICSPC57692.2023.10125815.
6. G. Mareeswari and Sangeetha. P, Deep Learning Based Intrusion Detection System, International Conference on Innovative Engineering and Information Technology organized by Sri Sai Ranganathan Engineering College, Chennai during April 28th & 29th,2023
7. Vivekrabinson K, Bharath Singh J, Ragavan K, Joshua Kumaresan S, Erana Veerappa Dinesh S, and Mareeswari G, Multi-Stroke Handwriting Character Recognition and Enhancing Proficiency with CNN: A Touch-Based Writing Approach, 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), chennai, India, DOI: 10.1109/RMKMATE59243.2023.10369098.

BOOK CHAPTER

1. Shanmugasundaram S, Sukumar M, Mathan Kumar A, Sangavi M. S, Anusuya V, Euodial A, Petchiammal A, Priyanga G (2025), Chapter Titled, Solar Panel Tilting System Using IoT, in the book Addressing Urbanism Challenges With AI and the Internet of Things, DOI: 10.4018/979-8-3693-8141-0.ch007
2. V. Anusuya, B. J. Bejoy, M. Ramkumar, P. Shanmugaraja, B. Dhiyanesh, and G. Kiruthiga (2023), Chapter titled, Maximum Decision Support Regression-Based Advance Secure Data Encrypt Transmission for Healthcare Data Sharing in the Cloud Computing, Inventive Systems and Control, Lecture Notes in Networks and Systems Springer Nature Vol.672,pp:39-51, DOI:10.1007/978-981-99-1624-5_3, 2023.
3. Gandhimathi Usha S,V. G. Janani, V. Anusuya, A. Selvarani, Chapter titled, Investigating Detection Strategy of Gestational Diabetes Mellitus During Pregnancy Using Machine Learning in the book Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning, IGI Global, June 2023. DOI:10.4018/978-1-6684-8974-1.ch014
4. B. J. Bejoy, M. Ramkumar, P. Shanmugaraja, B. Dhiyanesh, G. Kiruthiga, and V. Anusuya (2023), Chapter Titled, IOT-Based Innovative Agriculture Farming System Based on Rover-Drone Surveillance Sensing Unit Using Feature Selection and Classification Techniques Drone Data Analytics in Aerial Computing, Transactions on Computer Systems and Networks, pp:205-225. DOI:10.1007/978-981-99-5056-0_11.
5. Anusuya, V., Thilaga, P.J., Vijayalakshmi, K., Manikandan, T. (2023). Deep Learning Model for Predicting Diabetes Disease Using SVM. In: Dhanaraj, R.K., Rawal, B.S., Krishnamoorthi, S., Balusamy, B. (eds) Artificial Intelligence in IoT and Cyborgization. Studies in Computational Intelligence, vol 1103. Springer, Singapore. DOI:10.1007/978-981-99-4303-6_10.

Testimonial