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Department of Information Technology

It

2025 - 2026

Establishment

2025-2026: 758

Student Strength

Last 5 Years – 52

Higher Studies

Last 5 Years - 72

Total Number of NPTEL Courses Completed

2025-2026 Years – 45
Patents - 5

Publications

Last 5 Years – 441

Internship -National

The Department of Information Technology stands as a vibrant hub of innovation, academic excellence, and industry-aligned learning. With a strong commitment to shaping future-ready IT professionals, the department blends cutting-edge curriculum, hands-on lab experience, and real-world problem-solving to prepare students for emerging technologies and global opportunities.

Our faculty team comprises highly qualified academicians, industry experts, and research mentors dedicated to nurturing every learner’s potential. We encourage curiosity, creativity, and continuous learning — the values that define the IT profession.

Vision

To emerge as a leading center for excellence in Information Technology education and innovation, committed to producing ethically responsible, technically skilled, and socially conscious IT professionals who contribute meaningfully to global and local communities.

Mission

  • To deliver value-based and quality IT education using modern tools and e-learning platforms.
  • To foster creativity, innovation, and problem-solving abilities through project-based and research-oriented learning.
  • To conduct research in socially relevant and cutting-edge technological domains.
  • To empower students, especially from marginalized communities, to become self-reliant and industry-ready professionals.
  • To instill professional ethics, leadership qualities, and a sense of societal responsibility among learners

HOD

Dr. P Tamil Selvan – Head, Department of Information Technology

The Department of Information Technology has always been driven by a clear purpose — to create a learning environment where knowledge meets innovation, and students grow into confident, competent, and industry-ready professionals. In today’s fast-evolving digital era, it is essential not only to understand technology but to adapt, innovate, and lead with it.

Our department strives to bridge the gap between classroom learning and real-world applications by integrating modern tools, hands-on labs, industry collaborations, value-added training, and research-driven teaching practices. We encourage our students to think critically, explore emerging technologies such as Artificial Intelligence, Cyber Security, Cloud Computing, Data Analytics, and develop solutions that contribute to society.

With a team of dedicated faculty members, advanced laboratory facilities, and a student-centric learning ecosystem, we ensure that every learner is guided, mentored, and motivated throughout their academic journey. We take pride in nurturing holistic growth — academically, professionally, and personally.

I warmly welcome you to the Department of Information Technology and invite you to explore the opportunities, resources, and vibrant learning culture we offer. Together, let us build a future driven by innovation, integrity, and excellence.

Value-Added Training & Certifications

  • AWS, Azure, Google Cloud
  • Python, R, Machine Learning
  • Power BI, Tableau
  • Ethical Hacking (Kali Linux, Wireshark)
  • Industry MoUs / Wipro Certification Courses

Department Achievements Section

Student Achievements
  • Hackathon winners
  • Internship selections
  • Project competitions
  • Extension Activities
Faculty Achievements
  • Research publications
  • Patents
  • Workshops / seminars handled

Placement Highlights

  • Students placed in: TCS, Wipro, Infosys, Cognizant, HCL, Accenture, Tech Mahindra
  • Pre-placement training, aptitude guidance
  • Strong alumni network for Placement
Program Highlights
  • Industry-Aligned Curriculum: Structured around current trends such as AI, Cloud Computing, Data Science, Cyber Security, and Full-Stack Development.
  • State-of-the-Art Laboratories: Equipped with advanced tools, software, and high-performance systems to support practical learning.
  • Value-Added Courses & Certifications: Students receive training in AWS, Microsoft Azure, Google Cloud, Python, Power BI, TensorFlow, Ethical Hacking, and more.
  • Project-Based Learning: Every semester includes real-time projects, mini-projects, and innovative problem-solving tasks.
  • Strong Placement Support: Pre-placement training, mock interviews, aptitude coaching, and exclusive industry tie-ups ensure excellent placement outcomes.
  • MoUs & Collaborations: Partnerships with leading IT companies for internships, research, and skill development.
Department Strengths
  • Experienced and research-driven faculty members
  • Consistently high academic performance
  • Dedicated Research & Innovation Cell
  • Hackathons, coding challenges, and tech fests every semester
  • Regular workshops, seminars, guest lectures, and industry expert sessions
  • Active department clubs: Coding Club, Cyber Security Club, AI & Data Science Forum, Creative Media Cell
  • Student mentoring system for academic and career guidance
  • Community outreach and digital literacy initiatives

Programme

Programme
  1. Under Graduate Programmes
    • B.Sc. Information Technology
Curriculum

Faculty

The Department of Information Technology is powered by a team of dedicated, experienced, and research-oriented faculty members who bring academic excellence, industry exposure, and innovation into the classroom. Our faculty combine strong subject expertise with a passion for teaching, ensuring that students receive the best blend of theory, practical knowledge, and emerging technology insights.

We focus on outcome-based education, personalized mentoring, and continuous professional development to elevate the learning experience for every student.

Faculties

Infrastructure

Facilities / Infrastructure List

S.NO Block Name Lab Name Description Quantity
1 S S1 DELL OPTIPLEX 7020 Intel Core i7-12700 @ 2.10GHz DDR5 32 GB RAM, M.2 NVME 512 HDD 60
2 N N Lab -3 INTEL CORE I 7 2.90 GHZ, 16 GB DDR4 RAM, 500 GB SSD HDD (HP PRODESK G7 400) 70
3 N N Lab -5 INTEL CORE I 7 2.10 GHZ, 16 GB DDR4 RAM, 500 GB SSD HDD (DELL OPTIPLEX 5000) 70

Placements

OVERALL PLACEMENT DATA

B. Sc IT 2022 BATCH – 96 Offers / 289 Students
B. Sc IT 2023 BATCH – 19 Offers ( Upto Date)/ 249 Students

LIST OF COMPANIES

B.Sc Information Technology

Company Name Students Count
Accenture 27
EY 13
LTI 6
CTS 03
TCS 46
ENVISION 11
KGISL 11
INFOSYS 01
ANON 1
ACIDUS 1
INTERNSHIP

Institution / Company
UiTM Cawangan Terengganu, Malaysia
National Chaung Cheng University, Taiwan

Publications

Dr P TAMIL SELVAN

  1. P.Tamil Selvan, Noora C.T,” Facial Expression Analysis For Academic Engagement Monitoring With Kriging Geometry And Region Proposal Network Deep Transfer Learning” Journal of Theoretical and Applied Information Technology, Vol.102, No. 20,October 2024.
  2. P.Tamil Selvan, Shajeni Justin,” Connected Health: IoT and AI-driven CNNs for Lung Cancer Early Detection”, SSRG International Journal of Electronics and Communication Engineering, Volume 11 Issue 12, December 2024.
  3. P.Tamil Selvan, Shajeni Justin,” A Systematic Comparative Study on the use of Machine Learning Techniques to Predict Lung Cancer and its Metastasis to the Liver: LCLM-Predictor Model”, International Journal of Computational and Experimental Science and Engineering, Vol. 11-No.1,December -2025.
  4. Dr.P.Tamil Selvan , C.Vivek”, Student Academic Performance Prediction Using Probit-Generative Restricted Deep Boltzmann Machine”, Journal of Theoretical and Applied Information Technology, Vol.103. No.7,April 2025
  5. P.Tamil Selvan, Noora C.T,” Leveraging CNN to Analyse Facial Expressions for Academic Engagement Monitoring with Insights from the Multi⁃Source Academic Affective Engagement Dataset”, Journal of Harbin Institute of Technology, Volume 32, Number 2,April 2025.

Dr K VEERASAMY

  1. K. Veerasamy, E J. Thomson Fredrik., Intelligent Farming based on Uncertainty Expert System with Butterfly Optimization Algorithm for Crop Recommendation, Journal of Internet Services and Information Security 13 (4), 158-169.
  2. K. Veerasamy, E J. Thomson Fredrik., Intelligence System towards Identify Weeds in Crops and Vegetables Plantation Using Image Processing and Deep Learning Techniques, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), 14(4), 45-49.
  3. S Prathosh, K Veerasamy., Optimizing Crop Yield-An IoT and ML-based Soil Testing and Crop Recommendation System, 789-795, 2025.
  4. KS Manoj Ram, K Veerasamy, Chinnem Rama Mohan, N Krishna Kumar, PB Edwin Prabhakar, Aysola Sai Chander Addressing Scalability and Latency Issues in Blockchain-Based IoT Applications, Vol 7, 1460-1465,2024.
  5. K Veerasamy, Shouvik Sanyal, Mohammad Salameh Almahirah, Monika Saxena, Mahesh Manohar Bhanushali, An investigative analysis for IoT based supply chain coordination and control through machine learning, International Conference on Emerging Technologies in Computer Engineering, 149-159, 2022.

Dr K RANJITH SINGH

  1. Dr K RANJITH SINGH, JACQUELINE C “Enriched Deep Neural Network Improved by Chaotic Harris Hawk Optimizer for Prediction of Behavioural Traits of Individuals” Journal of Internet Services and Information Security, 2024, 14(4), pp. 511–523
  2. Dr K RANJITH SINGH, JACQUELINE C “A Novel Meta-Model Based Enhanced Learner for Prediction of Behavior Traits of Individuals” Journal of Theoretical and Applied Information Technology, 2024, 102(19), pp. 7016–7026
  3. Dr K RANJITH SINGH AND R VASUKI “Iris biometric template identification and recognition scheme using a novel parallel fused encoder” Multimedia Tools and Applications, 2024, 11(10),
  4. Dr K RANJITH SINGH AND SOUMYA KOSHY “Cutting-Edge Deep Learning Strategies for Precise Ovarian Disease Detection: A Comprehensive Review” Communications on Applied Nonlinear Analysis, Vol 32 No. 1s (2025), pp – 611-621.
  5. Dr K.RANJITH SINGH and MARUTHU PANDI J, “Sentiment Analysis Of Public Tweets On Covid-19 accination”, NeuroQuantology, ISSN: 1303-5150, page:1578-1589, Volume 20, Issue 10, August – 2022, DOI: 10.14704/nq.2022.20.10.NQ55123

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.

Dr E J THOMSON FREDRIK

  1. Babitha Thamby, E.J.Thomson Fredrik, “Improved non-invasive diagnosis of hepatocellular carcinoma by optimized meta classifier with hybridized features”, Bulletin of Electrical Engineering and Informatics, Vol.14, No.4, pp. 2975–2986,2025. (Scopus Indexed)
  2. Jeena Jose, E. J. Thomson Fredrik, “An Advanced GRU-CapsNet Framework for Accurate Chronic Kidney Disease Detection and Prediction”, International Journal of Intelligent Engineering and Systems, Vol.18, No.6, pp. 828-844, 2025. (Scopus Indexed)
  3. Joby Jacob, E. J. Thomson Fredrik, “Predictive Analytics for Customer Churn in Banking: A Machine Learning Approach to Retention”, International Journal of Applied Mathematics, Vol.38, No. 4S, pp. 85-102, 2025. (Scopus Indexed)
  4. Rajalekshmy K D, E.J.Thomson Fredrik, “Occlusion-Robust Pose Sequence Aware GAN based Classification using CNN for Early Detection of Cerebral Palsy in Infants”, Journal of Information Systems Engineering and Management, Vol.10, No.35,2025 (Scopus Indexed)
  5. Askar Ali K T, E.J.Thomson Fredrik, “Segmenting and Identifying Spinal Tuberculosis Disease using An Enhanced CSA and Rider Optimization Technique”, International Journal of Intelligent Systems and Applications in Engineering, Vol.12, Issue 16,2024. (Scopus Indexed)

Dr P RUTHRAVIGNESHWARAN

  1. P. Rutravigneshwaran, “Optimizing Gradient Boosting Machine for Alzheimer’s Disease Prediction Using Cormorant Swarm Intelligence (CSO-GBM)”, Indian Journal of Science and Technology 18(22): 1728-1739. https://doi.org/10.17485/IJST/v18i22.863 (2025) (Indexed in Scopus)
  2. P. Rutravigneshwaran, “Seal Optimization Driven Random Forest Framework for Enhanced Alzheimer’s Disease Classification”, Journal of Theoretical and Applied Information Technology”,(2025), Vol.103.,No.9. (Indexed in Scopus)
  3. P. Rutravigneshwaran, “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).
  4. P. Rutravigneshwaran “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).
  5. P. Rutravigneshwaran “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).

Mr A RAMKUMAR

  1. Ghode, S., Suneel, S., Algubelly, Y. R., Ruth Isabels, K., Ramkumar A., & Ghode, S. (2024). A Holistic Approach to Healthcare Analytics Using IoT and AI Technologies. Nanotechnology Perceptions, 20 (S15), 67–76
  2. Ramkumar, A., & Arun, V. (2025). Detection of Plant Leaf Diseases through RNN and Transfer Learning Techniques. Karpagam Journal of Computer Science, 20(4).

Mrs S.SUMATHI

  1. S.Sumathi, P.Tamilselvan – Deep Spiking Neural based Dolphin Echolocative Node Optimized Bayesian Regression For Resource-Efficient and Load-Balanced Data Transmission in VANET – IEEE, Aug 2025, pg:1017-1024. ISBN:979-8-3315-1250-7 (Scopus Indexed)
  2. S.Sumathi, P.Tamilselvan – Stochastic Lagrangian Krill Herd Optimized Quadratic Associative Boost Classification for Load Balancing in VANET , International Journal of Electrical and Electronics Engineering, Volume-12, Issue-5. May 2025, ISSN: 2348-8379 Pg:32-44. (Scopus Indexed)
  3. S.Sumathi, P.Tamilselvan – Multi-objective Rainfall Drop Resource Optimized Censor Regressive Load Balancing For Data Communication In Vanet – African Journal of Biological Sciences. Volume-6, Issue-14. Aug 2024. ISSN: 2663-2187, – Pg:7114-7142 (Scopus Indexed)

Dr K SARANYADEVI

  1. Dr K SARANYADEVI , Dr P RATHIGA Published a paper “Chronic Disease risk prediction using squirrel search algorithm and hybrid KNN” Journal of Neuroquantoogy: An Interdisciplinary Journal of Neuroscience and Quantum Physics(SCOPUS),ISSN:1303-5150,Vol:20,No:8,July 2022.
  2. Dr K SARANYADEVI , Dr P RATHIGA Published a paper “Classification Hybrid Algorithm Based on SVM and KNN with Modification “Data Acquisition and processing (SCOPUS) ISSN: 1004-9037, Vol: 38, No: 02, Feb 2023.
  3. Dr K SARANYADEVI , Dr P RATHIGA Published a paper “A machine Learning Approach For Early Renal Risk Prediction Using Improved SSA and ANNGO” Computer Integrated Manufacturing System(CIMS:SCOPUS)ISSN:1006- 5911,Vol;29,No:09,September2023.

Patents

Patents

No.of Patents Published – 7

Events

Others

  1. State level Technical Symposium “STRINGZ 2K26” on 27.02.2026.
  2. One-day IIC Workshop on “Modern Innovations in the Jakarta EE Software Platform” on 24.02.2026.
  3. Workshop on “Latest Innovations in Microsoft Power BI” on 17.02.2026.
  4. Alumni Talk on “Building Industry-Ready Professionals: Skills, Strategies, and Opportunities” on 16.02.2026 by our Alumni Mr. S. Varun Vikash is working as a Regional Operations Lead in TBI Tata Consultancy Services Sholinganallur, Chennai.
  5. Career Counselling Programme on “Career Opportunities in Fire and Resource Service” on 24.12.2025
  6. Alumni Talk on “Roadmap to IT success: Placement, Learning and Corporate Life” by our Alumni student Ms. NITYASREE KRISHNASAMY, Business Analyst, Amadeus Software Labs, Bengaluru on 22.12.2025.

Students listening to the talk on Transforming Innovative Ideas into IT Startups on 24-06-2025

Resource Person Dr.Karthik Rengarajan addresses to Students related to Transform Innovative Ideas into IT Startups on 24-06-2025

Resource Person Dr.M.Balamurugan addresses to Students related to Recent Innovations in Data Science and Data Analytics on 28th July 2025.

B.Sc IT Students presenting their innovative ideas in Poster Presentation Competition on 29th July, 2025.

Dr.R.Gunasundari, Programme Coordinator of CS Stream evaluating the presentation performance of B.Sc IT Students on 30th July, 2025.

Dr.K.Ranjith Singh, Associate Professor of IT Department evaluating the presentation performance of B.Sc IT Students on 31st July, 2025.

Dr.E.J.Thomson Fredrik, Professor, Department of Information Technology delivering Vote of Thanks in Skill Development Programme on July 09th,2025

Students listening to the talk on Transforming Innovative Ideas into IT Startups on 24-06-2025

The Resource Person Dr.P.Johnson Durairaj giving hands on training to students on developing Cloud Applications using Amazon AWS on July 09th,2025

Dr. S. Ravi, Vice Chancellor of Karpagam Academy of Higher Education delivering the inaugural address at the Department of IT Association Function on August 23, 2025.

Dr. V.Ragavi, Dean FASCM of Karpagam Academy of Higher Education delivering the Presidential address at the Department of IT Association Function on August 23, 2025

Mrs. Vijaylakshmi Sankaranarayanan, Manager at Accenture Solutions Pvt. Ltd., presenting the keynote address at the Department of IT Association Function on August 23, 2025.

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