Admission Hotline

70 347 800 74 , 70 347 800 73

College Code : SCM

+91 484 2882900 , +91 484 2450330

Faculties

Computer Science & Engineering

Susmi Jacob

Assistant Professor

Specialisation: Digital image computing (CSE)

Room: 4th Floor, Administrative Block

mail2susmy@gmail.com

0484 – 2450330 Extension:120
9446057254

Educational Qualifications

  • Pursuing PhD in “Context Aware Security and Privacy in Smartphones” at SCMS School of Engineering and Technology, under APJ Abdul Kalam Technological University.
  • M.Tech with specialization in Digital Image Computing (Dept. Of Computer Science, Kariavattom Campus, Kerala University, Trivandrum)
  • B.Tech, Computer Science and Engineering (St. Joseph’s College of Engineering & Technology, Palai)

Employment History

  • Joined SCMS School of engineering and technology, Karukutty, Cochin on 16-08-2007
  • 6 months teaching experience ( 01-02-2007 to 30-07-2007) at Govt. Enginnering College, Idukki, kerala, India

Key Responsibilities Held

Responsibilities Held

  • Organised the “Android Basics for Beginners” workshop.
  • Course instructor for different subjects for MCA and B tech
  • Organizing committee member of ICACCI 2015

Present Responsibilities

  • Staff Representative of Kerala Water Authority Project, Initiated by Civil Department, SSET and Kerala Water Authority.
  • Staff in charge of Quizzer’s Club of SSET
  • Staff in charge of Quiz Club of CSE, SSET

Teaching Interests

  • Artificial Intelligence
  • Machine Learning
  • Digital Image Processing
  • Design and Analysis of Algorithms
  • Graph Theory and Combinatorics
  • Discrete Computational Structures
  • Data Mining
  • Cryptography and Network Security
  • Computer Graphics
  • System Software
  • Computer Programming
  • Computer Hardware and Architecture

Research Interests

  • Image reconstruction
  • Facial image processing
  • Medical image segmentation and processing
  • Compressed sensing

Publications

  • Shilpa P C, Risa sherine, Jacob Susmi and P Vinod, “Sentiment analysis using deep learning”, 3rd IEEE international conference on intelligent communication technologies & virtual mobile networks (ICICV 2021)
  • Jacob, Susmi, and Madhu S. Nair. "Image reconstruction from random samples using multiscale regression framework." Neurocomputing 189 (2016): 95-105.

Awards and Honours

  • Cleared Gate 2011 and availed GATE Scholarship for M.Tech Programme during 2011-2013

Technical programs attended

  • Attended AICTE sponsored 6 days Short Term Training Programme on “Python and Mobile AApplication Development” organized by HKBK College of Engineering, Bengaluru, August 2020.
  • Attended 5 days Online Faculty Development Programme on “Mobile Security , Cloud Computing Security Challenges” organized by A.V.Parekh Technical Institute, Rajkot, Gujarat, December 2020.
  • Attended 10 days Short Term Training Programme on “Scientific Computing with Python”, organised by the Department of Electronics & Communication Engineering and sponsored by the Technical Education Quality Improvement Programme (TEQIP),Govt. of India, November 2020.
  • Attended 5 days Faculty Development Programme on “Recent Advancements in Machine Learning and Artificial Intelligence” conducted by SRM University, Andra Pradesh , November 2020.
  • Attended 5 days Faculty Development Programme on “Data Science and Artificial Intelligence”, organized by Rajagiri School of Engineering & Technology, Cochin, sponsored by KTU, February 2021.
  • Attended a conference named International conference on Advances in computing, communication and Informatics held at SCMS, Muttom, in August 2015.
  • Participated in STTp on digital image processing organised by RIT Kottayam in January 2015.
  • Attended FTP organized by sahrydaya in september 2014
  • Participated in national seminar on emerging trends in computing organized by sset, karukutty in July 2009
  • Attended a conference on open sourse computing by CUSAT in November 2009.

Courses Completed

COURSERA

  • Applied Machine Learning in Python
  • Neural Networks and Deep Learning
  • Android App Components - Intents, Activities, and Broadcast Receivers
  • Android App Components - Services, Local IPC, and Content Providers
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization