Sruthy Suresh received her Bachelor’s degree in Computer Science and Engineering from MA College of Engineering, Kothamangalam, Kerala. She obtained her Master’s degree in Computer science and Information Systems from Cochin University of Science & Technology, India. She worked as a lecturer in the Department of Computer Science & Engineering at MET’S School of Engineering , Mala, Viswajyothi College of Engineering & Technology. Vazhakkulam and Mar Baselios College of Engineering & Technology, Trivandrum, India during the period October 2003 to June 2010. Since July 2012, she is working as Assistant Professor in the Department of Computer Science and Engineering, Federal Institute of Science and Technology, Angamaly. She is currently doing PhD under APJ Abdul Kalam Technological University. She is the Faculty Sponsor of ACM Student chapter, FISAT.
Area of interest
Object oriented Programming, Data Mining, System Software
- Successfully completed NPTEL online certification on Data Mining.
FDP/Workshops Attended
- Ekalavya ISTE workshop on C Programming
- Ekalavya ISTE workshop on Networking
- FDP on Advanced Trends in Web Technologies at RSET, Kakkanad
- FDP on ‘Mentoring and Counseling Skills’ at FISAT by ICT Academy
- FDP on Digital Fabrication Techniques at FISAT
- FDP on Network Programming at FISAT
- FDP on Big Data and Quantum computing at TCS Kochi
- Workshop on Big Data Analytics at RSET, Kakkanad
- FDP on Android Development Fundamentals at Adishankara,Kalady
- Tips and Tricks of Research publications, Patent Filing and research grant, at Kings Engineering College
- STTP on High Performance Computing and Deep Learning for Image, Text analysis at MBCET, Trivandrum
- FDP on Block Chain and Cyber Security at CAPE, Vadakara
S Salim, S Suresh, R Gokul, S Reshma – Application of Shamir Secret Sharing Scheme for Secret Data Hiding and Authentication ,International Journal of Advanced Research in Computer Science & Technology -2014,220-224
JS Nair, DD Kulkarni, A Joshi, S Suresh -On Decentralizing Federated Reinforcement Learning in Multi-Robot Scenarios, 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM),1-8