Faculty Profile

Ms. Jishna N V
Assistant Professor

Profile

Ms. Jishna N V completed her B.Tech in Computer Science and Engineering from Thejus Engineering College, Vellarakkad (affiliated to KTU) in 2020. She later pursued her M.Tech in Computer Science and Engineering from IES College of Engineering, Chittilappilly (affiliated to KTU) and graduated in 2024. With one year of academic experience, she has served at Nirmala Institute of Technology and also worked as a Software Developer at Vidya International Charitable Trust. Her areas of expertise include Machine Learning, Data Science, Object-Oriented Programming using Java, Database Management Systems, and Web Programming.

Educational Qualification

 

Degree Specialization University Year
M.Tech Computer Science and Engineering KTU 2024
B.Tech Computer Science and Engineering KTU 2020

Experience

 

 

Designation Institution Period
Assistant Professor, Department of Computer Science & Engineering Federal Institute of Science and Technology 17.06.2025 to till date
Lecturer , Department of Computer Engineering Nirmala Institute of Technology 24.06.2024 to 05.05.2025
Junior Software Developer,ERP Vidya International Charitable Trust Thalakottukatra Thrissur 21.07.2021-05.09.2022

Awards and honours

1.NPTEL online certification – Ethical hacking(2023)
2.NPTEL online certification – The Joy of Computing with Python (2025)
3.NSDC Training certification – HTML5 Application Development

Administrative & Institutional Support

  • Group Advisor and Mentor of CSE-B 2025-2029.
  • Department website representative
  • Technical Magazine Coordinator
  • NBA Criteria 2 member

Professional body memberships

  • ISTE Life Membership

Research & Publications

  1. Paper published in International Journal of Engineering Research & Technology (IJERT) – “EagleEye: A Multi-Modal Face-Structure Capture and Enhanced Forensic Recognition System” in Vol. 15 Issue 03, March 2026.
  2. Paper published in International Journal of Engineering Research & Technology (IJERT) – “Debate Analyser: An AI-Based Multimodal System for Automated Debate Evaluation and Winner Prediction” in Vol. 15 Issue 03, March 2026.
  3. Paper published in IJFMR- “Secure IoT Assistant-Based System for Alzheimer’s Disease ” in 2024

FDPs/Trainings attended

  • 6 days National Level Faculty Development Programme (Hybrid) on “Generative AI and Building LLM” organized by the Department of Computer Science and Engineering, Federal Institute of Science and Technology, from 27th April 2026 to 2nd May 2026.
  • 3 days FDP on Introduction to Artificial Intelligence and Data Science at FISAT, 23/06/2025 to 25/06/2025
  • AICTE Training And Learning (ATAL) Academy Faculty Development Program on Next-Gen AI Training: FDP On Models, Methods and Machines at Rajiv Gandhi Institute of Technology, Kottaym from 18/08/2025 to 23/08/2025.
  • 1 day FDP on Introduction to Artificial Intelligence and Data Science organized by METs School of Engineering Thrissur collabration with Pencilbits Coimbatore on 20/09/2025
  • 12 weeks FDP in The joy of computing with python (NPTEL-AICTE)

Projects Guided

  • EagleEye: A Multi-Modal Face-Structure Capture and Enhanced Forensic Recognition System.
  • Debate Analyser: An AI-Based Multimodal System for Automated Debate Evaluation and Winner Prediction
  • Fit-Sync

Courses offered

  • Web Programming
  • Algorithmic Thinking with Python
  • Bioinformatics
  • Computer Networks
  • Computer Communication and Networks
  • Database Management System
  • Object Oriented Programming through Java
  • Software Engineering

Contact

  • Room No: NB314
  • +91 7994004058
  • jishnanv@fisat..ac.in