Dr. Jaisakthi S M

Associate Professor

Email: jaisakthi.murugaiyan@vit.ac.in

PhD: Anna University, Chennai

Research Area: Machine Learning, Image and Computer vision, Parallel computing, Big data

Employee ID52332
Intercom
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2016Information and Communication EngineeringAnna University, Chennai
PG2006Computer Science & EngineeringSSN College of Engineering, Chennai
UG1997Applied GeologyCEG Campus, Anna University
Post-Doctoral Experience if any
Research Details
Areas of SpecializationArtificial Intelligence and Machine Learning, Image and Computer Vision, Medical Image Analysis
ORCID IDhttps://orcid.org/0000-0001-9136-1300
Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=35810291700
H-index (scopus)5
Google Scholar IDhttps://scholar.google.com/citations?user=CodG7WUAAAAJ&hl=en&oi=ao
i10 index5
Ongoing Funded Project Details
Ongoing Funded Project TitleFunding Agency

Title : An Automatic Tool for Flood Extent Mapping and Road Passability Analysis using Social Media Posts and Satellite Images for Indian Urban Areas.

Agency: SERB, Govt. Of India

Total Budget : 25,77,010 INR 

Completed Funded Project Details
Completed Funded Project TitleFunding Agency
Title : Ocular Disease Classification UsingDeep Learning ModelsAgency: VIT Seed Grant

Total  Budget : 300000

NVIDIA GPU grantAgency: NVIDIA Corporation for 2018

Total  Budget : 200000

NVIDIA GPU grantAgency: NVIDIA Corporation for 2017

Total  Budget : 180000

Patent Published TitlePatent Published Application No.
Computer Vision and Game based Mobile Application for Dyslexic Children202041052843
An Automatic Tool for Water Can Supply using Artificial Intelligence

Technology for Water Treatment Plants

202141010229
A Process for grape leaf disease identification using machine learning techniques2021101496
Book / Book Chapter Published Details
TitlePublisherYear
Overview on Security Concerns Associated in Cloud

Computing.

Springer2020
Role of Deep Learning Techniques in Detecting Skin

Cancer:A Review

CRC Press2020
Awards & Recognition Details 
“Best Paper Award” for the paper titled “Detection of Flooded Regions from SatelliteImages using Modified UNET” in International Conference on Computational  Intelligence in Data Science (ICCIDS-2021), Virtual conference hosted at SSN College of Engineering, 18-20 March 2021.
“Best Project Award” from Samsung Research Group, Bangalore, India for the project titled “Intent annotated Language Translation for Hindi”.
“Best Paper Award” for the paper titled “Fish Species Recognition using Transfer Learning Techniques” in 2020 3rd International Symposium on Advanced Intelligent Informatics (SAIN), Virtual conference hosted at Nanjing-China and Yogyakarta-Indonesia, 25-26,  November 2020.
“Women Achiever Award” for excellence in sponsored research from Women’s club,

VIT, Vellore.

Major International Collaboration Details  – Academic Collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
Major International Collaboration Details – Industry collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating industry, year of collaboration
Publication Collaboration with Taneja College of Pharmacy, University of South Florida Health-Tampa and Christian Medical College, Vellore, India,
Other Details
Editorial Experience 1. Book Title : Handbook of Deep Learning in Biomedical Engineering and Health Informatics

Editors : E. Golden Julie, Y. Harold Robinson,S. M. Jaisakthi

Press: CRC Press, Taylor & Francis Group

2. Book Title : Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications

Editors : Y. Harold Robinson, E. Golden Julie, S. M. Jaisakthi

Press : Wiley Press