Teaching Staff

Associate Professor/IT Coordinator
Education Qualification: MCA,M.Phil,M.Tech
Area of Study: Computer Networking ,Digital Image Processing,Advanced Data Structures
Email: [email protected]

Assistant Professor
Education Qualification : PhD(pursuing),MCA (UGC NET)
Area of Study: Digital Principles, Digital Image Processing
Email: [email protected]


1. R. Dhanya and R. K. Selvi, “A state of the art review on copy move forgery detection
techniques,” 2017 IEEE International Conference on Circuits and Systems (ICCS),
2017, pp. 58-65, doi: 10.1109/ICCS1.2017.8325963, Scopus Indexed

2. Dhanya, R. , Kalai Selvi, R.,   “Novel Adaptive Segmentation Based Forgery Detection
Method”, Journal of Computational and Theoretical Nanoscience, Volume 16, Number
7, July 2019, pp. 2945-2949(5), American Scientific Publishers,
DOI: https://doi.org/10.1166/jctn.2019.8199, Scopus Indexed, IF – 0.46

3. Dhanya R and Kalaiselvi R, “Novel Copy move Forgery Detection Based on Repeated
Feature Extraction and Delaunay Triangulation”, International Journal of Innovative
Technology and Exploring Engineering, Volume-9 Issue-3, January 2020, Peer

4. R. Dhanya and R. KalaiSelvi, “Robust Adaptable Segmentation-Based Copy Move
Forgery Detection Method”. In: Jayakumari J., Karagiannidis G., Ma M., Hossain S.
(eds) Advances in Communication Systems and Networks. Lecture Notes in Electrical
Engineering, vol 656. Springer, Singapore. https://doi.org/10.1007/978-981-15-3992-
3_61, Scopus Indexed, May 2020

5. Dhanya R and KalaiSelvi R, “ Repetitive Feature Extraction With Localized Delaunay
Triangulation For Copy-move-forgery-detection”, Indian Journal Of Computer Science
And Engineering, Vol. 12, No.5, pp. 1179-1186, DOI:
10.21817/indjcse/2021/v12i5/211205005, Scopus Indexed, Impact Factor – 0.19

Head of the Department

Education Qualification: MSc ISM, Mphil (CS & IT), PhD Pursuing
Area of Study : DBMS,Data mining, Computer Networks, Information Science, Machine Learning
Email: [email protected]

Paper Publications

Pillai, R.S., Sreekumar, K. (2021). Classification of Fashion Images Using Transfer Learning. In: Bhateja, V., Peng, SL., Satapathy, S.C., Zhang, YD. (eds) Evolution in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1176. Springer, Singapore. https://doi.org/10.1007/978-981-15-5788-0_32

Pillai, R.S., Sreekumar, K. (2021). Imbalanced Dataset Visual Recognition by Inductive Transfer Learning. In: Kumar, S., Purohit, S.D., Hiranwal, S., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-3246-4_27

Technical Sessions Handled

  • Resource Person for the webinar conducted by IQAC and Department of Computer Science of MES College, Erumely on the topic “Machine Learning and its Applications” held on June 9th 2020.
  • Resource Person for the webinar series ‘AVENIR’ conducted by Department of Computer Science, Bharata Mata College of Arts and Sciences, Aluva on the topic “Machine Learning – Introduction and Applications” held on May 22nd 2020.
  • Resource Person for ‘Darshan – Fine Tuning Research with online Research tools’ , Five day online workshop conducted by TLC and Department of Computer Applications, St.Teresa’s College (Autonomous), Ernakulam during 12-10-2020 to 17-10-2020.
  • Resource Person for “Opportunities in AI for MBA aspirants “as part of the webinar series “The New Normal” conducted by Marian Academy of Management Studies on August 10th 2020.

Assistant Professor
Education Qualification : MSc Mathematics, B.Ed in Mathematics. Qualified SET
Area of Study : Pure Mathematics
Email : [email protected]

Assistant Professor
Education Qualification: M.Tech Communication and network technology,CSCU-EC-Council
Area of Study: DBMS, Programming,Data Center
Email: [email protected]

Assistant Professor
Education Qualification: MCA, UGC NET Lectureship,CSCU-EC-Council
Area of Study: Computer Networks, Cyber security, Data structures and algorithms, Programming
Email: [email protected]

Assistant Professor(Guest)
Education Qualification: M.Tech in Information Systems Security, MCA
Area of Study: Programming,Network Security, Linux Administration
Email: [email protected]

Assistant Professor (Guest)
Education Qualification: Msc. Statistics
Area of Study: Statistics
Email: [email protected]

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Assistant Professor

Education Qualification: MCA. Qualified UGC NET
Area of Study : Programming Languages, Data mining, Computer Networks, Artificial Intelligence
Email: [email protected]

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Technical Staff