Admission Hotline

70 347 800 74 , 70 347 800 73

College Code : SCM

+91 484 2882900 , +91 484 2450330

Faculties

Computer Science & Engineering

Litty koshy

Assistant Professor

Specialisation: Computer Science & Engineering

Room: 4th Floor, Administrative Block

littykoshy@scmsgroup.org

0484 – 2450330 Extn - 120
9447708936

Educational Qualifications

  • Pursuing PhD in Computer Science and Engineering at Sathyabama Institute of Science and Technology, Deemed to be University,Chennai.
  • M.E in Computer Science and Engineering from P.S.N College of Engineering ,Thirunelveli.
  • B. Tech Computer Science and Engineering from Sree Buddha College of Engineering,Pattoor.

Employment History

  • Assistant Professor at SCMS School of Engineering & Technology, Karukutty fro 04-07- 2011 till date.
  • Assistant Lecturer in Computer Science & Engineering Department at Caarmel Engineering College,Perunad, Kerala from 04-08-2007 to 07-09-2009.
  • Lecturer in Computer Science & Engineering Department at Mount Zion College of Engineering, Kadammanitta.Pathanamthitta Dist,Kerala from 01-07-2006 to 02-11-2007.

Key Responsibilities Held

Responsibilities Held

  • Resource person in the “Android Basics for Beginners” Workshop
  • Class Co-ordinator (Batch 14)
  • Evaluator for MG University theory examinations
  • Project Guide for U.G students
  • Part of organizing committee of ICACCI 2015
  • Internal and External Examiner for UG and PG Laboratory Examinations
  • Asst. Class Co-ordinator (2012 Admissions, 2013 Admissions)
  • Part of PPTIA Curtain Raiser Program on 2017

Present Responsibilities

  • Class Co-ordinator of Batch 19

Teaching Interests

  • Operating system
  • Computer Organization
  • Computer System Architecture
  • Computer Graphics
  • Soft Computing
  • Computer Networks
  • Security
  • Microprocessors
  • High Performance Computing and Parallel Processing

Research Interests

  • Area of security
  • Machine learning
  • Cyber Forensics
  • Image Forgery Detection

Publications

  • Ms.Litty Koshy and Ms.Praylashyry ,presented a paper on “Copy-Move Forgery Detection and Performance Analysis of Feature Detectors”, in 9th International Conference on Communication and Signal Processing on 28 July 2020 and Proceedings Published in IEEE Conferences.page-0041-0045
  • Jijina M.T,Litty Koshy and Gayathry Warrier presented a paper on” Detection of Recoloring and Copy-Move Forgery in Digital Images”,in the 5th IEEE International Conference on Research in Computational Intelligence and Communication Networks(ICRCICN 2020) on 26-27 November 2020 in Virtual mode.
  • Litty koshy and S.Pryalashyry presented a paper ”A Survey on Video and Image Forgery Techniques”in the 1st International Conference on Recent Scientific Research in Engineering and Technology organised by John Cox Memorial CSI Institute of Technology, Thiruvananthapuram, Kerala and TECHOWN on 22 March 2019
  • Joffin Joy and Litty Koshy”“Rubicrpyt:Image Scrambling Encryption System based on Rubik’s cube Configuration” in the proceeding of 2nd IEEE International Conference on Systems,Computation ,Automation and Networking (ICSCAN-2019) organized by Manakula Vinayagar Institute of Technology,Puducherry on 29th and 30th March 2019.@IEEE 978-1-7281-1524-5, pp 65-72
  • Computer Security—Congestion Avoidance in WSN With Multiple Mobile sink using Energy Based Routing, May 2011, Published by CiiT International Journal of Networking and Communication Engineering, Coimbatore, India.

Technical programs attended

  • Attended 5 days AICTE Training And Learning (ATAL) Academy Online FDP on "Artificial Intelligence" organised by Rajagiri College of Engineering and Technology, 10th 19/10/2020 - 23/10/2020
  • Attended 6 days AICTE sponsored short term training programme on “Python and mobile Applications Development” organized by the Department of Information Science and Engineering, HKBK College of Engineering, Bengaluru from 3rd-08 th September, 2020.
  • Attended 6 days Short term training program on “Data Analytics and Machine Learning” organised by Amal Jyothi College of Engineering and Technology,3/8/2020 -08 /08/2020.
  • Attended 5 days Online FDP on “Deep Learning and Natural Language processing “ organised by NLP Research group, Rajagiri College of Engineering and Technology, 10th August to 14 th August 2020.
  • Participated in International online FDP on Linux Fundamentals with Cloud and Container platform Organised by Marian College Kuttikkanam, India from Marian College Kuttikkanam, India
  • Participated Faculty Development Programme in Concepts Coaching Conducted by ICT Academy of Kerala from 21 st to 22nd Dec 2017
  • Participated work shop on Fuzzy Logic and Genetic Algorithm at Adi Shankara Institute of Engineering and Technology from 27th-28th july 2017
  • Participated work shop on PUBLISHING QUALITY RESEARCH ARTICLES WITH LaTeX organized by Departmant of CSE by SCMS College of Engineering and Technology from 26th-27th August 2016
  • Participated 4Th International Conference on Advances in Computing,Communications &informatics from 10-15 August 2015
  • Attended Faculty Development Programme on machine Learning Techniques organised by Dept. of Computer Science and Engineering,SSET,karukutty from 20th May to June 1st 2013.
  • Attended Faculty Development Programme organised by Indian Society for Techinical Education,Kerala Section from 2007 December 13-15 at Caarmel Engineering College,Perunad
  • NPTEL Faculty development program on Introduction to Machine Learning during August 2018 to October 2018
  • Attended workshop on IoT ,Cloud Computing and Big Data Analytics at Adi Shankara Institute of Engineering and Technology from 23rd July 2018 to 26th July 2018.

Courses Completed

Coursera:

  • The Data Scientist’s Toolbox
  • Applied Machine Learning in Python
  • Programming Foundations with JavaScript, HTML and CSS
  • Programming for Everybody (Getting Started with Python)
  • R Programming
  • Cyber Threats and Attack Vectors

Awards and Honours

  • Secured Certificate in NPTEL online certification for successfully completing the course Introduction to Machine Learning during august 2018 to October 2018.