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NEETHU S S

NEETHU S S

Assistant Professor

Computer Science & Engineering

UGC-NET Qualified, M.Tech

Professional Summary

Qualified UGC-NET in Computer Science and Applications 5+ years of teaching experience Institutions worked M.Tech from University of Kerala Certified Specialist in AI & ML from ICT Academy of Kerala

Academic Qualifications

M.Tech Computer Science & Engineering

Sree Buddha College of Engineering

University of Kerala

B.Tech Information Technology

Muslim Association College of Engineering

University of Kerala

Experience

Teaching Experience

Assistant Professor

John Cox Memorial CSI Institute of Technology

December 2025 – Present

Assistant Professor

Heera College of Engineering

December 2024 – November 2025

Assistant Professor

Kerala Agricultural University

July 2023 – August 2024

Guest Faculty

Government Higher Secondary School, Punnamoodu, Vilavoorkal

July 2022 – February 2023

Assistant Professor

P.A. Aziz College of Engineering & Technology

2013 – 2015

Publications

Journal Papers

  • HCI for Real-world Applications. IOSR Journal of Computer Engineering, .
  • Color Image Enhancement Using Non-Linear Transfer Function and Quality Measurement Using Reduced Reference Metrics. IOSR Journal of Computer Engineering, .

Conference Papers

  • Characterisation of Users' Interest Based on Images. In National Conference on Advance Computing and Communication, Sree Buddha College of Engineering, .
  • Piracy Curbing Black & White DVD. In NCACC, Santhigiri College, .

Academic Projects

Research Projects

  • IMPLEMENTATION OF GENETIC ALGORITHM FOR INTRUSION DETECTION IN MANET: OMNeT++, Genetic Algorithm, DOS Attack Detection, Simulation Environment
  • CHARACTERISATION OF USERS' INTEREST BASED ON IMAGES: OpenCV, Eye Tracking, Image Features, User Interest Characterization
  • FIZTER 1.0: Java Frontend, Secure File Splitting, Merge, Zip, Email Transfer
  • VERSION CONTROL SYSTEM: Java, MySQL, Source Code Management, Version Control, Collaboration

Professional Development

Seminars

  • IMPLEMENTATION OF NEURAL NETWORKS FOR INTRUSION DETECTION IN MANET: Artificial Neural Networks, MANET, DOS Attack Detection, Feed Forward Back Propagation, Back Propagation Learning Algorithm
  • READING USERS' MINDS FROM THEIR EYES: A METHOD FOR IMPLICIT IMAGE ANNOTATION: Eye Tracking, Image Annotation, Image Retrieval, Gaze Inference System, Fuzzy Logic, User Interest Level
  • JAVA RING: iButton, JVM, Personalized Services

Certifications

  • Certified Specialist in ML & AI - Issued by ICT Academy of Kerala

Areas of Expertise

Data StructureMachine Learning using PythonSoftware EngineeringComputer Graphics & Image ProcessingGraph TheoryComputer Networks

Technical Skills

Languages: Python, PHP, C, C++, Java, HTML
Software: React, Tailwind CSS, TypeScript, Windows, MySQL, Microsoft Office
Tools: OMNeT++, OpenCV