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Department of Computer Technology

Overview

Department of Computer Technology is established with state-of-the-art facilities and well qualified teaching professionals in the Eachanari Campus, Karpagam Academy of Higher Education (Deemed to be University) and functioning under the Faculty of Arts Science Commerce and Management. This Department is offering 2 Under Graduate programmes B.Sc. Computer Technology and B.Sc. Information Technology and 4 Years Program B.Sc. Computer Technology (Hons) & (Hons with Research) and B.Sc. Information Technology (Hons) & (Hons with Research) The department is committed to the preparation of graduates to address the great challenges in the field of Information Technology and to contribute for research and innovation that ensure the sustained growth in Computing.

Since 2023, this department follows UG Curriculum, based on UGC model with New Education policy (NEP) 2020. The courses are designed to combine rigorous academic study and exhaustive practical exposure for students with in-depth lab oriented courses, projects, and internships.

Students can have their degree with Honors or Honors with Research doing additional courses of their choices from critical domains. The faculty members adopt digital pedagogy to attain the best quality of education.

Briefly, this is a unique place for students, scholars and faculty members to transform themselves to meet social and industrial challenges in a secure and successful way.

Vision

The Department’s aim is to fulfill the requirements of the future and set high standards for academic achievement in order to produce highly competent technical and communicative computing professionals, researchers, and entrepreneurs.

Mission

To provide motivated faculty and state of the art facilities for education and research, both in foundational aspects and emerging computing trends.

To develop knowledgeable, industry-ready students with pertinent competencies such as problem solving, leadership, and interpersonal skills

Programme

Programmes
  1. Under Graduate Programmes – Full-Time
    • Regulation 2023 – B.Sc – Information Technology
    • Regulation 2023 – B.Sc – Computer Technology

Faculty

Name Qualification Designation Email ID Profile
Dr.K.Ranjith Singh M.Sc., M.Phil., Ph.D. Assistant Professor & Head ranjithsinghk.koppaiyan@kahedu.edu.in Click Here
Dr.E.J.Thomson Fredrik M.Sc., MCA., M.Phil., PhD. Professor thomsan.ej@kahedu.edu.in Click Here
Dr.P.Tamil Selvan MCA., M.Phil., Ph.D. Associate Professor tamilselvancs@kahedu.edu.in Click Here
Dr.K.Devasenapathy MCA., M.Phil., Ph.D. Associate Professor drdevasenapathy.k@kahedu.edu.in Click Here
Dr.K.Lakshmipriya M.Sc(CS).,M.Phil.,Ph.D., Associate Professor lakshmipriyak.krishnan@kahedu.edu.in Click Here
Mr.P.Nagarajan MCA., M.Phil., (Ph.D.) Assistant Professor nagarajan06@gmail.com Click Here
Mr.K.Veerasamy M.Sc., ME., (Ph.D.) Assistant Professor veerasamyca@kahedu.edu.in Click Here
Dr.N.Thangarasu MCA., Ph.D. Assistant Professor drthangarasu.n@kahedu.edu.in Click Here
Ms.S.Sumathi MCA., M.Phil, (Ph.D)., Assistant Professor sumathi.srinivasan@kahedu.edu.in Click Here
Mr.S.Muruganandam M.Sc., MCA., M.Phil Assistant Professor mr.smanand@gmail.com Click Here
Dr.N.V.Chinnasamy M.Sc., M.Phil, Ph.D Assistant Professor chinnasamy.nvaiyapuri@kahedu.edu.in Click Here
Mr.D.Sathish MCA.,M.Phil.,(Ph.D.) Assistant Professor sathishd2011@gmail.com Click Here
Mr.A.Ramkumar M.C.A., (Ph.D) Assistant Professor ramkumar.ashokkumar@kahedu.edu.in Click Here
Ms.S.Keerthi Priya MCA., Assistant Professor keerthipriyas2001@gmail.com Click Here
Ms.D.Jeyasree MCA.,M.Phil.,(Ph.D) Assistant Professor harikavi24818@gmail.com Click Here
Ms.Ninsha V Unnikrishnan M.Sc., (Ph.D) Assistant Professor ninshav.unnikrishnan@kahedu.edu.in Click Here
Ms.Nivashini G M.Sc(CS)., (Ph.D)., Assistant Professor nivashini96phd@gmail.com Click Here
Ms.K.Illakiya M.Phil(CS) Assistant Professor illakiya.kuppusamy@kahedu.edu.in Click Here
Dr.P.Rutravigneshwaran M.Phil., Ph.D Assistant Professor rutravigneshwaran.palanichamy@kahedu.edu.in Click Here
Ms.A.S.Deeppana MCA., Assistant Professor deeppana.asubramaniam@kahedu.edu.in Click Here
Mr.S.R.Dharan MCA., Assistant Professor dharanravi1999@gmail.com Click Here
Ms.P.Jayapriya – Assistant Professor jayapriya.perumal@kahedu.edu.in Click Here

Publications

Paper Publications by the Faculty Members

Mr.K.Ranjith Singh

  1. K.RANJITHSINGH and MARUTHU PANDI J, “SENTIMENT ANALYSIS OF PUBLIC TWEETS ON COVID-19 VACCINATION”, NeuroQuantology, ISSN: 1303-5150, page:1578-1589, Volume 20, Issue 10, August – 2022, DOI: 10.14704/nq.2022.20.10.NQ55123
  2. K. Ranjith Singh, J. -K. Chung, B. Singh, A. S. Sengar, C. Mukuntharaj and M. P. Karnik, “Embedded Cognition in Virtual Environments: An Ecological Approach to AI Study,” 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), Faridabad, India, 2023, pp. 756-759, doi: 10.1109/ICAICCIT60255.2023.10466057.
  3. K. Ranjith Singh N. Garg, R. Vishnoi, B. Singh, S. Kannimuthu and M. R. Borade, “Enabling Mmwave Connectivity in 5G Base Stations: Key Requirements Overview,” 2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC), Greater Noida, India, 2023, pp. 634-638, doi: 10.1109/PEEIC59336.2023.10450251.
  4. K. Ranjith Singh T. Agrawal, K. S. Kulhar, G. Indira, P. M. Shelke and A. Kannagi, “AI-Driven Advanced Text Matching for Improved Information Capture and Retrieval,” 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India, 2023, pp. 1-7, doi: 10.1109/SMARTGENCON60755.2023.10442849.
  5. K. Ranjith Singh, T. Agrawal, R. Raghavendra, R. G. N, D. Dhabliya and J. K. Katariya, “The Performance Analysis of Distributed Denial of Service Attacks in Wireless Networks,” 2023 2nd International Conference on Futuristic Technologies (INCOFT), Belagavi, Karnataka, India, 2023, pp. 1-5, doi: 10.1109/INCOFT60753.2023.10425091.
  6. K. Ranjith Singh, S. Choudhary, N. Khatoon, D. K, S. D. Kumar and A. K. Gupta, “An Evaluation of AI-Driven Data Mining Techniques for Large-Scale Data Processing,” 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India, 2023, pp. 1-7, doi: 10.1109/SMARTGENCON60755.2023.10441964. keywords: {Deep learning;Scalability;Clustering algorithms;Data processing;Data mining;Task analysis;Artificial intelligence;processing;scalability;evaluation;component;learning}.

Mr.Tamil Selvan

  1. Dr.P.Tamil Selvan , Ramakrishna Subbareddy” CONSENSUS SCHMIDT-SAMOA JACCARD EXTREME LEARNED BLOCKCHAIN FOR ENHANCED SECURITY WITH SIDE CHANNEL ATTACK DETECTION IN CLOUD” Journal of Theoretical and Applied Information Technology 102(4), February 2024.
  2. Dr.P.Tamil Selvan , Ramakrishna Subbareddy” ENHANCING DATA SECURITY IN CLOUD COMPUTING: A BLOCKCHAIN-BASED FEISTEL CIPHER ENCRYPTION AND MULTICLASS VECTOR SIDE-CHANNEL ATTACK DETECTION APPROACH” International Journal of Advanced Technology and Engineering Exploration 11(112), March 2024.
  3. Dr.P.Tamil Selvan , C.Vivek” RAUCH-TUNG-STRIEBEL BASED TUCKER FEATURE SELECTION FOR EDUCATIONAL PERFORMANCE ANALYSIS” International Journal Of Intelligent Systems And Applications In Engineering 12(20), March 2024.
  4. Dr.P.Tamil Selvan, Chris Aloysius,” Reduction of false negatives in multi-class sentiment analysis “ Bulletin of Electrical Engineering and Informatics, Vol. 12, No. 2, April 2023
  5. Dr.P.Tamil Selvan, J.Hemagowri ,” A Hybrid Evolutionary Algorithm of Optimized Controller Placement in SDN Environment ” Computer Assisted Methods in Engineering and Scienc,Volume-13,Issue-1,January-2023

Dr.P.Nagarajan

  1. P.Nagarajan, S. Veni, “Cramers Correlated Deep Convolutional And Cox Regressive Bootstrap Classifier For DoS Attack Detection”, Computer Integrated Manufacturing Systems, Volume 29, issue No.6. 308-333.(scopus) 2023
  2. P.Nagarajan, S. Veni, (2023),” Fast Correlated Deep Belief And Raphson Gradient Boosting Ensemble Classifier For DoS Attack Detection In Wsn”, Computer Integrated Manufacturing Systems, Volume 29, issue No.6. 281-307. (scopus), 2023.
  3. P.Nagarajan, R.Megala, “A Survey on Fault Prediction and Fault Detection” International Conference on Material Science and Computational Engineering, Baselios Mathews II College of Engineering, 17 th and 18 th November 2022.
  4. P.Nagarajan, S. Veni, “An Analysis Of AI, Machine Learning & Deep Learning”, Karpagam Journal of Computer Science, Volume 15, issue No.1. 9-12.
  5. P.Nagarajan , T.Sumathi and Dr M.Hemalatha , “An Empirical study on Image/Video Retrieval Techniques: Grand Challenges and Trends”, Vol 2. No 6 (2011) issue.

Dr.K.Devasenapathy

  1. Devasenapathy K, (2023). Uncovering Bias: Exploring Machine Learning 1. Techniques for Detecting and Mitigating Bias in Data – A Literature Review. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 776–781. – September – 2023 https://doi.org/10.17762/ijritcc. Issue: 11 Volume No.9
  2. Devasenapathy K, Detection of Partisan Bias in Political Social Media Posts using Naïve Bayes Algorithm, International Journal of Engineering Technology and Management Sciences, Issue: 4 Volume No.7 July – August – 2023 DOI:10.46647/ijetms. 2023.v07i04.090 ISSN: 2581-4621
  3. Devasenapathy K, Evaluating the Performance Analysis of Teaching Assistant Using Decision Tree ID3 Algorithm, International Journal of Computer Applications, New York, USA, Volume 164, Number 7,2017, ISSN:0975 – 8887
  4. Devasenapathy K Performance Analysis of Teaching Assistant Using Decision Tree Classification Algorithm, Asian Journal Information Technology, Medwell Journal Publisher, Issue 19, 2016, ISSN: 1682-3915.
  5. Devasenapathy K, Foreword of Computer Based Technique in Educational Data Mining and Applying Data Mining Method in Traditional Education System: International Journal of Applied Engineering and Research, Volume 10, Number 21, 2015, ISSN: 0973-4562.

Dr.N.Thangarasu

  1. Optimizing feature extraction for tampering image detection using deep learning approaches, Indonesian Journal of Electrical Engineering and Computer Science, Vol. 35, No. 3, September 2024, pp. 1853~1864, ISSN: 2502-4752, DOI: 10.11591/ijeecs.v35.i3.pp1853-1864. (Scopus Indexed Journal)
  2. Optimization of CPBIS methods applied on enhanced fibrin microbeads approach for image segmentation in dynamic databases, International Journal of Electrical and Computer Engineering (IJECE) Vol. 14, No. 3, June 2024, pp. 2803~2813 ISSN: 2088-8708, DOI: 10.11591/ijece.v14i3.pp2803-2813. (Scopus Indexed Journal)
  3. Utilizing a machine learning algorithm to choose a significant traffic identification system, International Journal of Information Management Data Insights 4 (2024) 100218, (IJIMDI) publisher: Elsevier Ltd https://doi.org/10.1016/j.jjimei.2024.100218. (Scopus Indexed Journal)
  4. Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-based IoT Sensor Communication for Remote Healthcare Analysis, in IEEE Access, 2022, DOI: 10.1109/ACCESS.2022.3207751 (SCI Indexed). https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9895239
  5. Improved elliptical curve cryptography and Abelian group theory to resolve linear system problem in sensor-cloud cluster computing. ISSN 1386-7857: 1573-7543 November -2019, volume-22, issues-6 Springer (SCI Indexed). https://link.springer.com/article/10.1007%2Fs10586-017-1573-1,

Mrs.S.Sumathi

  1. S.Sumathi, 2013 “Performance Analysis of Routing Protocols In Mobile Ad Hoc Network”, Karpagam Journal of Computer Science. Vol 7: pg no 95-103.
  2. T.Sumathi,S.Sumathi and R.Revathi,2013 “An Enhanced Hash code based Image Feature Extraction and Retrieval” in proc. Emerging Dimensions in Management. Vol 1(1): pg.no 238-241.
  3. Survey Study on Load Balanced Data Communication In Vehicle Ad-Hoc Network , S.Sumathi, VR.Nagarajan–Karpagam Journal of Computer Science, Jan-feb 2023.
  4. Survey on Efficient Approach for Data Dissemination in Vehicle Ad-Hoc Network ,S.Sumathi, VR.Nagarajan – International Journal of Scientific Research in Computing, July 2023.
  5. Multi-objective Rainfall Drop Resource Optimized Censor Regressive Load Balancing For Data Communication In Vanet, S.Sumathi, P.Tamilselvan. – African Journal of Biological Sciences (Scopus Journal). Volume-6, Issue-14. Aug 2024.

Mr.D.Sathish

  1. D.Sathish , A.Kavitha “DDoS Attack Detection using Optimized Long Short-Term Memory based on Improved Bacterial Foraging Optimization” 2nd International Conference on Sustainable Computing and Smart Systems, ICSCSS 2024 – Proceedings, 2024,scopus indexed

Mrs.D.Jeyasree

  1. Hierarchical Representation with Multi-Level Fuzzy Clustering of web Documents International Conference on SMAC ISSN No(online):2249-3247 ISSN No (print):0975-1718, Avinashilingam University, Coimbatore.
  2. A Survey of Techniques, Tools and Applications of Datamining with recent trends in healthcare on International Journal of Research and Analytical Reviews (IJRAR) E-ISSN: 2348-1269, P-ISSN: 2349-5138 UGC Approved – Journal No : 43602 & 7.17 Impact Factor Volume 10 Issue 4 December 2023, Date of Publication: 10-December-2023.

Ms.G.Nivashini

  1. G Nivashini and R. Hemalatha “Study on automatic agriculture prediction using IoT and deep learning “, Journal of Emerging Technologies and Innovative Research (JETIR), ISSN-2349-516) 2023 JETIR October 2023, Volume 10, Issue 10
  2. G. Nivashini and R. Hemalatha “ IoT Awared Sensored Regressive Gaussian Kernalized Recurrent Deep Neural Network for Automatic Agriculture Prediction”, “Indian Journal of Natural Sciences”, ISSN-0976-0997, vOL.15/Issue 83/Apr/2024
  3. G. Nivashini and R. Hemalatha “Smart Agriculture Prediction Awaring IoT Using Recurrent Neural Network”, Internationbal Jouranl of Advances in Engineering and Management (IJAEM)”, ISSN-2395-5252, Volume6, 02Feb 2024, pp: 575580 (WoS)

Dr.P.Rutravigneshwaran

  1. P. Rutravigneshwaran, G. Anitha and K. Prathapchandran, “Trust Based Support Vector Regressive Security Mechanism to Identify Malicious Node in the Internet of Battlefield Things (IOBT)”, International Journal of System Assurance Engineering and Management (IJSA),(https://doi.org/10.1007/s13198-022-01719- w)Vol.13,No.3,pp.1-13,2022. (Indexed in Scopus, Web of Science and SCIE, Impact Factor:2.2).
  2. P. Rutravigneshwaran and G. Anitha, “Security Model to Mitigate Black Hole Attack on Internet of Battlefield Things (IoBT) Using Trust and K-Means Clustering Algorithm”, International Journal of Computer Networks and Applications (IJCNA), ISSN:2395-0455, Volume 10, Issue 1, pp.95-106, 2023 (Indexed in Scopus).
  3. P. Rutravigneshwaran and K. Prathapchandran, “Trust-Based Security Mechanisms for Resource-Constrained Internet of Things (IoT)-A Review”, Journal of Physics: Conference Series, ISSN: 1742-6588, Volume.1850, Issue.012042, pp.1-20, 2021. (Indexed in Scopus).
  4. P. Rutravigneshwaran “An Analysis of Complex Interruption Detection Classification Based on Data Mining Techniques” in (IJERT), ISBN 978-93-86638-27- 4, MARCH 2018.
  5. P. Rutravigneshwaran ,“A Study of Intrusion Detection System using Efficient Data Mining Techniques” in (IJSRNSC), (ISSN: 2321-3256), Vol.5, Issue.6, December 2017.

Dr.K.Lakshmipriya

  1. K.Kanagalakshmi and K.Lakshmipriya, “MULTIMODAL TRANSPOSE ROTATION MOBIUS TRANSFORMATION BASED CANCELLABLE TEMPLATE GENERATION TECHNIQUE”, Scopus Indexed : International Journal Of Engineering And Advanced Technology(IJEAT),PP: 3607-3615 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4256129219/2019©BEIESP | DOI: 10.35940/ijeat.B4256.129219 . https://www.ijeat.org/download/volume-9-issue-2/
  2. K.Kanagalakshmi and K.Lakshmipriya,” GENERATION OF CANCELLABLE TEMPLATE IN MULTIMODAL BIOMETRICS USING POLAR DECOMPOSITION WITH MOD-EIGEN TECHNIQUE”, Web of Science WOS :TELEMATIQUE, ISSN: 1856-4194, Volume 21Issue, Aug 2022, PP-4200-4209. https://www.provinciajournal.com/index.php/telematique/article/view/589
  3. K.Kanagalakshmi and K.Lakshmipriya,”MULTIMODAL CANCELLABLE TEMPLATE GENERATION USING AFFINE COVERSPACE EULER TRANSFORMATION”, SCOPUS INDEXED :International Journal of Communication Networks and Information Security—(Acceptance received on 07 November 2022)
  4. Dr.K.Lakshmipriya,” A COMPARATIVE STUDY ON SEGMENTATION METHODS USED IN CANCELABLE BIOMETRIC” UGC CARE- Solovyov Studies ISPU | ISSN: 2076-9210 .VOLUME 72, ISSUE 1, 2024 | https://solovyov-studiesispu.com/ | Page No: 18.
  5. Dr. K.Lakshmipriya,” COMPARATIVE ANALYSIS OF FILTERS IN REMOVING ADDITIVE NOISE FROM IMAGE” UGC CARE- Journal of the Maharaja Sayajirao University of Baroda ISSN :0025-0422,.Vol. 58, No.01(II) : 2024.

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