Department of Computer Technology

Name	Designation	Qualification	Email Id	Profile
Dr. K.Devasenapathy	HOD/Asscoiate Professor	MCA.,MPhil.,PhD	ct.hod@kahedu.edu.in	Click Here
Dr. A. Faritha banu	Assistant Professor	MCA.,M.Phil.,ME.,Ph.D.,	farithabanu.ahamedsheriff@kahedu.edu.in	Click Here
Mr.K.Prabu	Assistant Professor	MSC., MPHIL.,	kkprabu21@gmail.com	Click Here
Ms.P. Archana	Assistant Professor	M. Sc CS,	archana.periasamy@kahedu.edu.in	Click Here
Mrs.H.Gunavathi	Assistant Professor	M.Sc(CS), M.Phil(CS), (Ph.D).,	gunavathy.sakthivel@kahedu.edu.in	Click Here
Ms.R.Sivaranjani	Assistant Professor	BCA.,MCA.,	sivaranjani.rajakumar@kahedu.edu.in	Click Here
Ms. A. S. Deeppana	Assistant Professor	MCA.,PhD	deeppana.asubramaniam@kahedu.edu.in	Click Here
Dr. K. Lakshmipriya	Associate Professor	M.Sc(CS),M.Phil, Ph.D.,	lakshmipriya.krishnan@kahedu.edu.in	Click Here
Mrs.R.Poongodi	Assistant Professor	M.Sc.,M.Phil.,	poongodi.rajan@kahedu.edu.in	Click Here
Mr. G.Santhana Krishnan	Assistant Professor	MCA,SET,(Ph.D)	santhanakrishnan.gurusaminathan@kahedu.edu.in	Click Here
Mrs .R.Menaka	Assistant Professor	M.Sc(SS).,M.Phil,	menaka.rasan@kahedu.edu.in	Click Here
Ms.V. Kiruthiga	Assistant Professor	M.Sc(IT).,B.Ed.,(Ph.D).,	kiruthigavenkateshp@gmail.com	Click Here

The Department of Computer Technology offers well-structured academic and laboratory facilities that support
effective teaching and hands-on learning.

Center of Excellence in Cyber Security

The department hosts a dedicated Center of Excellence (CoE) in Cyber Security, providing advanced training in ethical
hacking, network security, digital forensics, and related emerging technologies. The CoE equips students with
industry-relevant tools and practical exposure to real-world cybersecurity challenges.

Computer Laboratory

A modern computer laboratory with high-performance systems, licensed software, and secure network access enables
students to gain practical experience in programming, cloud computing, artificial intelligence, and cybersecurity.

Smart Classrooms

Classrooms are equipped with ceiling-mounted projectors to facilitate clear and effective instructional delivery.

Secure Network Infrastructure

The department maintains a reliable and secure internal network to support laboratory operations, academic work, and
faculty requirements.

Paper Publications by the Faculty Members

Dr.K.Devasenapathy

1. 1.Devasenapathy K, (2025), Sales Prediction Using LSTM and BiL STM Models: A Deep Learning Approach for Time Series Forecasting Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA) ,393- 402 Sep – 2025, DOI: //doi.org/10.52783/cana.v32.2348, Issue: 3 Volume No.16, ISSN: 2093-5374 / E- ISSN: 2093-5382 (Scopus)
2. 2.Devasenapathy K, (2025), Detection of Confirmation Bias In Horoscope Texts Using Random Forest Classifier, International Journal of Applied Mathematics ,393- 402 Sep – 2025, DOI: https://doi.org/10.52783/cana.v32.2348, Issue: 2S, Volume No.38, ISSN: 1311-1728; ISSN: 1314-8060 (Scopus)
3. 3.Devasenapathy K, (2025), Self-adaptive Transient Generalized Functional Regressive Cryptosystem Based Authentication For Secured Data Transmission in Personal Area Network, Journal of Theoretical and Applied Information Technology,5204 – 5215 July – 2025, Issue: 14, Volume No.103, ISSN: 1992-8645(Scopus)
4. 4.Devasenapathy K, (2024), Performance Comparison of Deep Learning Algorithm for Autism Spectrum Disorder Prediction, Communication and Applied nonlinear Analysis,622- 631 Jan – 2025, DOI: https://doi.org/10.52783/cana.v32.2348, Issue: 1 Volume No.32, ISSN: 1074—133X (Scopus)
5. 5.Devasenapathy K, (2024), Beyond the Zodiac: Investigating Confirmation Bias in Newspaper Horoscopes via Machine Learning Techniques, Frontiers in Health Informatics, 5673-5679 April – 2024, Issue: 3 Volume No.13, ISSN-Online: 2676-7104 (Scopus)

Dr.A.Faritha banu

1. M. Priyadharshini, A. Faritha Banu, Bhisham Sharma, Subrata Chowdhury, Khaled Rabie and Thokozani Shongwe, “Hybrid Multi-Label Classification Model for Medical Applications Based on Adaptive Synthetic Data and Ensemble Learning”, Sensors 2023 Volume 23, Issue 15, ISSN: 6836. https://doi.org/10.3390/ s23156836, (Scopus Indexed Journal)
2. Dr.V.S.Lavanya, A.Faritha banu, “Machine Learning with Ensemble Classifier Algorithm for Imbalanced Data Classification” Tuijin Jishu/ Journal of Propulsion Technology (scopus), Vol.44, No.5(2023), ISSN : 1001-4055.
3. A.Faritha banu, Dr.V.S.Lavanya, “A Survey on Different Methods For Imbalanced Data Classification” Zeichen Journal”, Vol.8, No.10(2022), ISSN : 1001-4055.
4. A.Faritha banu, Dr.V.S.Lavanya, “Imbalanced Data Classification Using Improved Grey Wolf Optimization and Enhanced Artificial Neural Network Algorithm” The International Journal of Interdisciplinary Organizational Studies” Vol.19, No.1(2024).
5. M. Priyadharshini, A. Faritha Banu, M.Hemagowri, Srinidhi.K, Murugesh.V “Advanced Cyberbullying Detection: A Hybrid Model Integrated with Naïve Bayes”, 2024, 3rd International Conference on Electrical Electronics Information and Communication Technologies (ICEEICT 2024).

Mr.K.Prabhu

1. Humphrey Oboso Menge, Prabu K. “Machine Learning – Based Early Type 2 Diabetes Detection.”2nd International Conference on Emerging Research in Computational Science (ICERCS), Karpagam Academy of Higher Education, Coimbatore–641021, TamilNadu, India, 12–14 December 2024.
2. K. Prabu, T. Ayyapparaj. “Decoding Liver Fibrosis: An AI-Powered Path to Early Cirrhosis Diagnosis.”in Karpagam, JCS Volume: 20 | Issue: 4 | Year: 2025

Ms.P.Archana

1. 1.Mrs. S. Sharmila, B. Vignesh, P. Archana, DATA MINING TECHNIQUES AND APPLICATION, Journal of the Maharaja Sayajirao University of Baroda ISSN :0025- 0422

Ms.P.Archana

1. 1.Mrs. S. Sharmila, B. Vignesh, P. Archana, DATA MINING TECHNIQUES AND APPLICATION, Journal of the Maharaja Sayajirao University of Baroda ISSN :0025- 0422

Mrs.H.Gunavathy

1. H. Gunavathy, “A Survey: Data Security in Cloud Using Cryptography and Steganography,” International Research Journal of Engineering and Technology (IRJET), vol. 6, no. 5, 2019. ISSN: 2395-0056. (Peer-reviewed).
2. H. Gunavathy, “A Survey on Flying AD-HOC Network (FANET),” Indian Journal of Natural Sciences, vol. 15, issue 85, 2024. ISSN: 0976-0997. (Peer-reviewed; SJIF 2023:
   6.057).
3. H. Gunavathy, “Dragonfly-Inspired OLSR Protocol for Interference-Aware Seamless Connectivity in FANET,” Journal of Theoretical and Applied Information Technology, vol. 103, no. 13, pp. 4607–4630, 2025. ISSN: 1992-8645. (Scopus Indexed; SJR 2024:
   0.168).

Dr.K.Lakshmipriya

1. K. Lakshmipriya, “Anomaly Detection: Spotting the Unusual with Machine Learning and Deep Learning,” Nanotechnology Perceptions, vol. 20, no. S11, pp. 683–689, 2024, ISSN: 1660-6795. (Scopus Indexed).
2. 2.K. Lakshmipriya, “A Novel Entropy-Based Cascaded Capsule Neural Network With an Optimized LSTM for Anomaly Segmentation and Classification,” Journal of Theoretical and Applied Information Technology, vol. 103, no. 8, pp. 3516–3520, Apr. 30, 2025.
   ISSN: 1269-6935, E-ISSN: 2116-7087. (Scopus Indexed, SJR: 0.168).
3. 3.K. Lakshmipriya, “X2_PDDVnet: An Explainable AI-Based Dual Path Dense Dilated Vision Transformer Network Based Anomaly Detection,” Journal Européen des Systèmes Automatisés, vol. 58, no. 4, pp. 669–687, Apr. 2025. ISSN: 1992-8645, E-ISSN:
   1817-3195. (Scopus Indexed, SJR: 0.227).
4. K. Lakshmipriya, “Anomaly Detection in Complex Systems Using Machine Learning and an Improved Fish Swarm Optimizer,” IEEE, Sep. 2025. (Scopus Indexed).
5. 5.K. Lakshmipriya, “A Survey on Privacy-Aware AI Approaches for Early Mental Health Detection and Support,” International Journal of Creative Research Thoughts, vol. 13, no. 7, pp. 975–979, Jul. 30, 2025. ISSN: 2320-2882. (UGC Care).

Mr,G.Santhanakrishnan

1. G, Santhanakrishnan and Kumaravel, Dr.S.”, Generating Sign Language by Utilizing the LSTM Algorithm to Process and Convert Spoken Language Inputs into Corresponding ISL”(August 05, 2024). Available at SSRN: https://ssrn.com/abstract=4973124 or http://dx.doi.org/10.2139/ssrn.4973124
2. 2.V. Ganesan, G. Santhanakrishnan, R. Sangeethapriya, B. Rajani, S. Paramasivam and G. Ulaganathan, “Revolutionizing Medical Decision-Making: Predictive Technologies using AI and the Internet of Medical Things,” 2025 4th International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Tirupur, India, 2025, pp. 596-602, doi: 10.1109/ICIMIA67127.2025.11200627.
3. G. Santhanakrishnan and S. Kumaravel, “Voice to Sign Language,” IOSR Journal of Computer Engineering (IOSR-JCE), e-ISSN: 2278-0661, p-ISSN: 2278-8727, pp. 17–19

Mrs.R. Menaka

1. 1.R. Menaka and G. Padmavathi, “Selection of Robust Text-Based CAPTCHA Using TensorFlow Object Detection Method,” in Proceedings of Data Analytics and Management (ICDAM 2023), Lecture Notes in Networks and Systems, vol. 787, Abhishek Swaroop, Zdzisław Polkowski, Sérgio Duarte Correia, and Bal Virdee, Eds. Springer, 2023, pp.

Ms.V. Kiruthiga

1. V. Kiruthiga and K. Lakshmipriya, “A Survey on Privacy-Aware AI Approaches for Early Mental Health Detection and Support,” International Journal of Creative Research Thoughts (IJCRT), vol. 13, no. 7, pp. (not provided), Jul. 2025.
2. V. Kiruthiga and K. Lakshmipriya, “A Privacy-Preserving Framework for Mental Health Prediction Using Federated Learning,” International Journal for Research in Applied Science and Engineering Technology (IJRASET), vol. 13, no. 7, Jul. 2025.
3. V. Kiruthiga and K. Lakshmi Priya, “Comparison of Multimodal vs. Unimodal Learning for Privacy-Aware Mental Health Prediction,” International Journal of Innovative Science and Research Technology (IJISRT), vol. 10, no. 10, pp. 1021–1027, Oct. 2025. doi: 10.38124/ijisrt/25oct657.