Faculty
COMPUTER SCIENCE & ENGINEERING
Susmi Jacob
Assistant Professor
Specialisation: Digital image computing (CSE)
Room: 4th Floor, Administrative Block
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
Present Responsibilities
- Class coordinator of B22 CSE-AI
Teaching Interests
- Artificial Intelligence
- Machine learning using Python
- Data Structures and Algorithms
- 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
- Context aware computing in smartphones
- Cognitive computing and healthcare
- Privacy preserving outsourcing in smartphones
- Affect sensing from smartphones
- IoT and its applications in healthcare
Publications
- Jacob, Susmi, P. Vinod, Arjun Subramanian, and Varun G. Menon. “Affect sensing from smartphones through touch and motion contexts.” Multimedia Systems (2023): 1-15.
- acob, Susmi, Vinod Puthuvath, Muralidharan Akarsh, Jackson George, Jewel Joseph, and Jigil Joy. “A smartphone authentication system based on touch gesture dynamics.” Concurrency and Computation: Practice and Experience 35, no. 1 (2023): e7449.
- Sajana, T. S., Susmi Jacob, P. Vinod, Varun G. Menon, and P. C. Shilpa. “Context-aware gender and age recognition from smartphone sensors.” In 2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), pp. 1-6. IEEE, 2022.
- 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
- Received CERD fund for student project titled “Deep learning based unvoiced authentication in smartphones through in-ear wearables”, 2022
- Received Anweshan Setu fellowship by ACM at IIT Gandhinagar, Gujarat, under guidance of Dr. Nipun Batra, during 2021-22. One month visit and research collaboration during July-August 2022.
- Received CERD Research Seed Money for project titled “Context aware continuous behavioural authentication in smartphones using deep learning”, in 2021
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
