Dr. V. S. Felix Enigo
B.E (CSE), M.E (CSE), Ph.D.
Associate Professor
Department Of Computer Science and Engineering
Email id: felixvs@ssn.edu.in
Extn: 383
Dr. V. S. Felix Enigo holds Ph.D. degree in Wireless Sensor Network from Anna University in 2014. She has more than 25 years of teaching experience to her credit in diverse areas of Computer Science and few months of industrial experience as a programmer. Her area of interest includes Networks, Internet of Things and Medical Image Processing and Artificial Intelligence. She has published papers in high impact factor journals and reputed international conferences. She was one of the recipients of BIG-16 award by BIRAC, Department of BioTechnology, GoI and has been granted a fund of 50 lakhs. She has worked on various industry-based consultancy projects and internal funded projects. She is the CEO of the Company “Diagno Intelligent Systems Private Limited” which mainly focuses on artificial intelligent based medical software solutions for bone related diseases.
Computer Networks, Medical Image Processing, IoT, Artificial Intelligence
- Monisha Munivel and V.S. Felix Enigo, “Optical Character Recognition for Printed Tamizhi Documents using Deep Neural Networks”, DESIDOC Journal of Library & Information Technology, Vol. 42, No. 4, July 2022, pp. 227-233, DOI : 10.14429/djlit.42.4.17742.
- R.Kanchana, T.T.Mirnalinee and V.S.Felix Enigo, “IoT based System for Sewage Overflow Prevention using Heterogeneous Communication Networks”, Asian Journal of Water, Environment and Pollution, IOS Press, vol. 20, no. 1, January 2023, pp. 25-33.
- J. K. Lakshmi Divya, R. Iswarya, and V. S. Felix Enigo, “Smart, Safe, and Secure Shopping Experience Using Beacons”, Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT,volume 117), Springer, May 2022.
- Sriraghav Kameswaran and V.S. Felix Enigo, “ScrAnViz: a tool for analytics and visualisation of unstructured data”, International Journal of Business Intelligence and Data Mining, Vol. 17, No. 2, April 2020, pp 179-192. https://doi.org/10.1504/IJBIDM.2020.108769
- T. S. Abishek, Adithya Viswanathan, Akash Kumar Pujari & V. S. Felix Enigo, “Empirical Test Design Strategies Using Natural Language Processing”, Lecture Notes in Networks and Systems book series (LNNS,volume 145), September 2020.
Artificial Intelligence (AI) based ‘Screening Tool’ to predict future Osteoporotic Hip Fracture Risk in Post-menopausal women and Elderly population using X-ray Image
BIRAC under BIG-16 Scheme
Amount: 50 lakhs
Title: Predictive policing using social network analysis
BIRAC under BIG-16 Scheme
Amount: 50 lakhs
Title: Predictive policing using social network analysis
SSN Trust
Amount: 2.7 Lakhs
Title: IoT based Smart Sewage System
Funding support: SSN Trust
Amount: 6 Lakhs
- College bus monitoring using RFID technology – 0.25 Lakh
- Smart Traffic Signal – 0.15 Lakh
- Smart Mirror : To Maximize Productivity and Time Management – 0.275 Lakh
- Prototype for IoT based Smart Sewage System – 0.20 Lakh
- Empty Cylinder weight identification using Image Processing – 0.15 Lakh
Diagno Intelligent Systems Pvt. Ltd.
Industry: Caterpillar India Limited
Project Done:
- Responsive Web Design
- A Device-Context Aware Web
- Browsing For Embedded Content
- Improved Data Transformation Strategy for Visualizing Historical Data
- Parameter Standardization
- Dynamic Reporting Framework
- Background downloading of Files in mobile.(ongoing)
Industry: Tata Elxsi
Project Done: Performance Benchmarking of Wireless Broadband Systems in Linux
Environment
Industry: Srishti Software Applications Private Limited
Project Done: Exception Handling Patterns in Workflow Systems
Professional Bodies
- IEEE, ACM, ISTE
Position held in Professional Bodies
- Senior Member