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Deepa Rajan S.

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Deepa Rajan S.

HoD and Associate Professor
Date of Joining: 01-08-2023
deepasdinesh@gmail.com
9496244355

Professional experience:

  • Teaching: 16+ years

Educational profile:

  • Ph.D (Pursuing)
    • University: VISTAS, Chennai.
    • Research Centre: Vels Institute of Science, Technology and Advanced Studies (2025 - present)
    • Area of Research: Cyber Attack Detection Using Multiagent Reinforcement Learning.
  • M.Tech.
    • University: University of Kerala, Trivandrum.
    • College: Sree Chithira Thirunal College of Engineering, Pappanamcode, TVM (2010-2012)
    • Area: Computer Science and Engineering.
  • B.Tech.
    • University: Cochin University of Science & Technology, Kalamassery.
    • College: College Of Engineering Perumon (2002-2006).
    • Branch: Computer Science and Engineering.

Duties & Responsibilities

  • Head Of the Department
  • Department Association Co- Ordinator
  • IEDC Department Coordinator
  • Advisor

Courses handled:

  1. Programming in C
  2. Algorithmic Thinking with Python
  3. Operating Systems
  4. Data communication and computer networking
  5. Embedded Systems
  6. Principles of Programming Languages
  7. Information System for Mangers
  8. E-commerce
  9. Software Engineering
  10. Multimedia System and Data compression
  11. Computer System Architecture
  12. PC hardware and Interfacing
  13. Advanced operating system
  14. Computer Networks
  15. Bioinformatics
  16. Softcomputing

Research interests:

  • Machine Learning
  • Networks and Security

International Journals:

  • The Paper NAVIGATING CYBERSECURITY: A COMPREHENSIVE ANALYSIS OF MACHINE LEARNING IN CYBER ATTACK DETECTION published into Scopus indexed journal of Theoretical and Applied Information Technology, 2024
  • Emi Johnson; Deepa Rajan S; Radhakrishnan B,’ Machine Learning Based Android Malware Detection Using Permission and Function Call’, IJCSN International Journal of Computer Science and Network ,Volume 8, Issue 3, June 2019, ISSN (Online) : 2277- 5420 Link: http://ijcsn.org/articles/0803/Machine-Learning-Based-Android-Malware-Detection-Using-Permission-and-Function-Call.html
  • Cincy Raju; Deepa Rajan S; Dr. Radhakrishnan B,’ Predicting Early Reviews for Product Marketing On E-Commerce Site’, IJCSN International Journal of Computer Science and Network, IJCSN Journal Volume 8, Issue 3, ISSN (Online) :2277-5420 Link: http://ijcsn.org/articles/0803/Predicting-Early-Reviews-for-Product-Marketing-On-E-Commerce-Site.html
  • Rakhi Viswan; Deepa Rajan S; Dr.Radhakrishnan B,’ Dropout Prediction Using Multi-Classifier Prediction and Score Integration Method’, IJCSN International Journal of Computer Science and Network, IJCSN Journal Volume 8, Issue 3, ISSN (Online) :2277-5420

International Conferences:

  • Presented a paper “Multiagent Reinforcement Learning for Efficient Cyber Attack Detection on the Internet of Medical Things using tSNE- ZOA based Dimensionality Reduction” in the international conference conducted at BMCE Sasthamcotta.(IEEE) 2025
  • Participated in International Conference On Emerging Technological Trends Conducted by Baselios Mathews II College of Engineering in 2017.
  • Christy Kunjumon; Sreelekshmi S. Nair; Deepa Rajan S.; Padma Suresh; S.L. Preetha,”Survey on Weather Forecasting Using Data Mining” ,  2018 Conference on Emerging Devices and Smart Systems (ICEDSS), 18289067,  10.1109/ICEDSS.2018.8544326
  • Presented and published the paper “Biometric Identification”, in International Conference On Networks, Intelligence and Computing Technologies (ICNICT 2011), 15 & 16th December 2011
  • Presented and published "An SVM Based Tool For Predicting Nitrogen Fixing Proteins", The board of International Journal of Computer Applications, Third International Conference on "Advanced Computing and Communication Technologies for HPC Applications" is published as ACCTHPCA with IJCA on July 10, 2012.
  • A Survey on Methods for Brain Tumor Detection Aby Elsa Babu, Anandu Subhash, Deepa Rajan S, Proc. IEEE Conference on Emerging Devices and Smart Systems (ICEDSS 2018)       2-3 March 2018, Mahendra Engineering College, Tamilnadu, India.
  • Deepa Rajan S Privacy Preserving and Auto Regeneration of Data in Cloud Servers Using   Seed Block Algorithm: Proceedings of International Conference on Soft Computing Systems "   International Conference on Soft Computing Systems" INTERNATIONAL 2018   ISBN    978-981-13-1935-8, Online ISBN 978-981-13-19361-5Computer Communication and   information Science Series Springer(CCIS, volume 837) https://link.springer.com/chapter/10.1007/978-981-13-1936-5_34
  • A Survey on Mining Social Media Data for Understanding Drug Usage, Published in: 2018 Conference on Emerging Devices and Smart Systems (ICEDSS), DOI: 10.1109/ICEDSS.2018.8544346

Workshops/ Faculty Development Programme Attended:

  • Mrs. Deepa Rajan S, Associate Professor of Bishop Jerome Institute, Kollam has successfully participated & completed AICTE Training and Learning (ATAL) Academy Faculty Development Program on Advanced Techniques in AI and Machine Learning at COLLEGE OF ENGINEERING, CHERTHALA from 06/01/2025 to 11/01/2025.
  • Actively participated in Five-day FDP on Algorithmic Thinking with Python Organised by BJI in association with PencilBitz on 07-09-2024 to 12-092024
  • Participated in the Offline Faculty Development Programme on, "Machine Learning using python ", organized by Department of Computer Science and Engineering at Younus College of Engineering Kollam, from 10/11 and 11/11 2023.
  • Actively participated in the 5 Days Online Faculty Development Programme on RECENT ADVANCES IN COMPUTING organized by Department of Computer Science & Engineering, Mahaguru Institute of Technology in association with Coding Club & Enxcl Business Solutions Pvt Ltd. from 29th January - 2nd February, 2024
  • Participated and successfully completed 5 Days online Faculty Development Programme on “Cyber Security and Forensics” organized by the Department of Computer Science & Engineering, Mangalam College of Engineering, Ettumanoor, Kottayam from 22.01.2024 to 26.01.2024.
  • Successfully completed 3-day FDP on the topic Data Analytics for Engineers from 27-02-2024 to 29-02-2024 Organized by ICT academy Kerala
  • 5-days Faculty Development Programme on "Research Trends and Applications of IoT" organised by the Department of Computer Science & Engineering, SCMS School of Engineering and Technology from 23rd - 27th May 2022.
  • Three-day on-line FDP on Data analytics using R Organised by TKM IT Ezhukone 23-25 June 2021
  • A two day workshop on Research Methodolgy at SCT college of Engineering,Trivandrum.
  • A one-day Workshop on Algorighm Design and Analysis at Mar Baselios College of Engg, Trivandrum.
  • A one workshop on Application Development using Java at TKM college of Engineering Kollam
  • A one workshop on Algorithm Analysis and Design at TKM college of Engineering Kollam
  • Faculty Development program conducted by Baselios Mathews II College of Engineering in 2010.
  • FDP on “Data Science” conducted by AICTE Training and Learning (ATAL) Academy from2020-10-12 to 2020-10-16 at School of Studies in Engineering and Technology Guru GhasidasVishwavidyalaya (A Central University), Bilaspur (C.G.).
  • FDP on “Research Methodology and Scientific Writing” conducted by IQAC, Sreebudha College of Engineering, Pattoor from June 29th t July 1st.
  • FDP on “Industrial Revolution 4.0: Emerging Trends in Information Technology” organized by the Department of Computer Science and Engineering,Sreebudha College of Engineering, Pattoor from 13th July 2020 to 17th July 2020.
  • FDP on “IoT Protocols and Security” organized by TocH Institute of Science and Technology in association with CSI on 29th and 30th of July.
  • "Opportunities for Engineers and Expectations from Industry" conducted by Baselios Mathews II College of Engineering on 16-05-2020

Faculty Development Programs organized

  • Three days FDP organized in association with ICT academy on the Topics Data Analytics at Bishop Jerome Institute
  • Five Days FDP organized in association with PencilBitz on the topic Algorithmic Thinking with Python at Bishop Jerome Institute
  • One day FDP organized for Highschool Teachers on the Topic Digital Transformation in Education and Python Programming at Bishop Jerome Institute

MOOC Courses attended:

  • Successfully completed the course “Computer Networks and Internet Protocol”
  • Successfully completed the course “Software Engineering”