Mrs. Arunima Ajeesh

Mrs. Arunima Ajeesh

Assistant Professor

KTU- ID: KTU-F52032

Dept. of Computer Science and Engineering

Btech

Phone No: 6238488100

Email ID: arunima.ajeesh@mcet.ac.in

Area of Interest

• Artificial Intelligence and Machine Learning

• Networks

• Operating System

• IoT

Industry Experience

 Corgentz Infotech Pvt. Ltd. – Software Developer (.NET / ASP.NET & C#)
Developed and maintained Hospital Information Systems (ERP) for healthcare clients, building web applications using ASP.NET, C#, and SQL Server.
Duration: 01 Aug 2007 – 31 Mar 2009.

Corgentz Infotech Pvt. Ltd. – Database Administrator (Oracle DBA)
Managed Oracle database environments, ensuring high availability, backup & recovery, performance tuning, and database security.
Duration: 01 Apr 2009 – 29 Jun 2012.

Corgentz Infotech Pvt. Ltd. – Lead Database Administrator
Led a team of DBAs, overseeing enterprise database operations, migrations, Oracle RAC, Data Guard, and infrastructure optimisation.
Duration: 02 Jul 2012 – 30 Sep 2016.

ATBC-INDIA – Chief Operating Officer (COO)
Led business operations, strategic planning, technology transformation, and cross-functional teams, driving organisational growth and operational excellence.
Duration: 03 Oct 2016 – 31 Mar 2022.

Teaching Experience

     Mohandas College of Engineering and Technology, Nedumangadu, Thiruvananthapuram 

      Assistant Professor, Department of Computer Science and Engineering.

Duration: 02 February 2026 – Present. 

FDP Attended

• Participated in a five-day offline FDP on "Python Programming and its Applications" Conducted by Mohandas Engineering College, Anad from 2nd to 6th June 2026.

• Participated in the National level 7-day Online FDP on "Advanced Machine Learning Paradigms: Theory, Lab and Research Applications" Organized by the Dept. of CSE, MEA Engineering College,  from 18th to 25th May 2026.

Publications

     1.NeuralGuard5G: Enhancing 5G Network Slice Security Against Distributed Denial of Service Attacks

          Authors: Arunima Ajeesh, Tessy Mathew

          Affiliation: Department of Computer Science and Engineering
                          Mar Baselios College of Engineering and Technology, Thiruvananthapuram 

         Conference: 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit)

          Publisher: IEEE

          ISBN: 979-8-3503-7971-6

          DOI: 10.1109/GlobalAISummit62156.2024.10947868

    2. Enhancing Network Security: A Comparative Analysis of Deep Learning and Machine Learning Models for Intrusion                                              Detection

           Authors: Arunima Ajeesh, Tessy Mathew

          Affiliation: Department of Computer Science and Engineering
                            Mar Baselios College of Engineering and Technology, Thiruvananthapuram

          Conference: 2024 International Conference on E-Mobility, Power Control and Smart Systems (ICEMPS)

          Publisher: IEEE

          ISBN: 979-8-3503-9439-9

          DOI: 10.1109/ICEMPS60684.2024.10559350