Department of Artificial Intelligence and Data Science


Under Graduate Programmes

    • B.Tech Artificial Intelligence and Data Science (Strength: 60)


Name Qualification Designation Email ID Profile
Dr.B.Arun Kumar B.E.,M.E.,Ph.D. Professor and Head Click Here
Dr.B.Lanitha B.E.,M.E.,Ph.D Associate Professor Click Here
Dr.S.Saravanan B.E.,M.E.,Ph.D Associate Professor Click Here
Mrs.M.Abinaya B.E.,M.Tech., Assistant Professor Click Here
Mr.R.Srikanth B.E.,M.E., Assistant Professor Click Here
Mr.N.Mathivanan B.E.,M.E., Assistant Professor Click Here
Ms.G.Priyanka B.E.,M.E., Assistant Professor Click Here
Mrs.G.Suganya B.E.,M.E., Assistant Professor Click Here
Ms.T.Sanmathi B.E.,M.E., Assistant Professor

Paper publications by the Faculty Members

Best Five Papers Faculty wise:


  1. Dr.B.Arunkumar, A cost effective – secure algorithm for work-flow scheduling in cloud computing, Springer Soft Computing, DOI: 10.1002/itl2.233, Impact Factor 0.89
  2. Dr.B.Arunkumar, Efficient Workflow Scheduling in Cloud Computing for Security Maintenance of Sensitive Data, International Journal of Communication Systems, doi/abs/10.1002/dac.4240, Impact Factor 1.139
  3. Dr.B.Arunkumar, A Novel Approach for Boundary Line Detection using IOT During Tennis Matches, Advancement of Electrical, Advancement of Electrical, Information and Communication Technologies for Life Application,, Impact Factor 0.46
  4. Dr.B.Arunkumar, A security-attribute-based access control along with user revocation for shared data in multi-owner cloud system, Information Security Journal: A Global Perspective, Taylor & Francis Group, doi/abs/10.1002/dac.4240, Impact Factor 0.55
  5. Dr.B.Arunkumar, Instance and value (IVH) algorithm and dodging dependency for scheduling multiple instances in hybrid cloud computing, IEEE Proceedings of the 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, PRIME 2013, 10.1109/ICPRIME.2013.6496485, Impact Factor 1.416

Mrs.Abinaya, M

  1. Abinaya, M, “ChatGPT: Opportunities, Features and Future Prospects”, 7th International Conference on Trends in Electronics and Informatics, ICOEI 2023 – Proceedings, 2023, pp. 1614–1622. DOI: 10.1109/ICOEI56765.2023.10125747
  2. Abinaya, M, “Efficiency of IDRONE Technology in Finding Pest-Free Solutions for Tea Farming-Looper Caterpillar and Tea Leaf Hopper”, 1st International Conference on Emerging Research in Computational Science, ICERCS 2023 – Proceedings, 2023
  3. Abinaya, M, “AI-Automated System for Ingredient Planner using Machine Learning Algorithms”, 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023 – Proceedings, 2023, pp. 511–515.
  4. Abinaya, M, “Opportunities of Machine Learning Techniques in the Catering Industry- A Survey”, Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems, ICEARS 2023, 2023, pp. 1405–1409.
  5. Abinaya, M, “Cosmetics Suggestion System using Deep Learning”, Proceedings of International Conference on Technological Advancements in Computational Sciences, ICTACS 2022, 2022, pp. 680–684.


  1. R Srikanth, Leaf disease identification using ResNet, 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF),1-5.
  2. R Srikanth, Retracing-efficient IoT model for identifying the skin-related tags using automatic lumen detection, Intelligent Data Analysis, 10.3233/IDA-237442, 1-20.
  3. R Srikanth, Monitoring and Analysis of Students’ Live Behaviour using Machine Learning, 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), 98-103.
  4. R Srikanth, Systematic Review on Real-Time Students Behavior Monitoring using Machine Learning, 2023 International Conference on Inventive Computation Technologies (ICICT), 233-237.
  5. R Srikanth, A Novel Optimized AI Based Model for Traffic Prediction in VANET, 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), 1175-1180.

Dr.Saravanan. S

  1. Saravanan, S, Karthigaivel, R & Magudeeswaran, V 2020, ‘A brain tumor image segmentation technique in image processing using ICA-LDA algorithm with ARHE model’, Published in the International Journal of Ambient Intelligence and Humanized Computing, Volume 12, Issue 5, May 2021, 4727-4735.(SCI Indexed, Impact Factor: 6.594, Scopus Indexed)
  2. Saravanan, S & Karthigaivel, R 2021, ‘A fuzzy and spline based dynamic histogram equalization for contrast enhancement of brain images’, Published in the International Journal of Imaging Systems and Technology, Vol 31, Issue 2, September 2020, 1001-1011. (SCI , Impact Factor: 2.0, Scopus Indexed).
  3. Bhaskaran, R & Saravanan, S 2022, `Intelligent Machine Learning with Metaheuristics Based Sentiment Analysis and Classification’, Published in the International Journal of Computer systems Science and engineering, ISSN: 0267-6192. (SCI Indexed, Impact Factor: 1.486, Scopus Indexed)
  4. S. Ramkumar, A. S. Saravanan 2022, ‘Fabrication and characterization of nano‐particle biomaterial scafold for treating burn wounds’, Published in the International Journal of Materials Research, ISSN: 0884-2914. ( Impact Factor: 3.021 Scopus Indexed)
  5. Sathiya Priya M & Saravanan S, ‘IOT-based Behavioral Analysis Model for Smart Learning’ Published in the International Conference on Sustainable Communication Networks and Application, IEEE Xplore Part Number: CFPDW-ART; ISBN:979-8-3503-1398-7 (Scopus Indexed)

Dr.Lanitha. B

  1. Lanitha. B Performance improvement of cloud security with parallel anarchies society optimization algorithm for virtual machine selection in cloud computing, Soft Computing., 2020, pp. 15081–15092. Impact factor 4.1
  2. Lanitha. B BoT-IoT based Denial of Service Detection with Deep Learning, Proceedings of the 5th International Conference on I-SMAC 2021, pp. 221–225.
  3. Lanitha. B, Hybrid LSTM-PCA-Powered Renewable Energy-Based Battery Life Prediction and Management for IoT Applications, Journal of Nanomaterials, 2022.
  4. Lanitha. B, IoT Enabled Sustainable Automated Greenhouse Architecture with Machine Learning Module, Journal of Nanomaterials, 2022.
  5. Lanitha. B, A Hybridized Artificial Neural Network for Automated Software Test Oracle
    Computer Systems Science and Engineering, 2023, pp. 1837–1850. Impact factor 2.9

Mr.N. Mathivanan

  1. A Data Security-based Efficient Compression and Encryption for Cloud Computing, 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), 10.1109/ICOEI56765.2023.10125686, 24 May 2023.
  2. Skin Disease Detection based on Image Processing Technique, 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), 10.1109/ICICCS56967.2023.10142281, 08 June 2023.