University Logo

FACULTY PROFILE

PERSONAL DATA
Faculty Name Dr.M.Dhilsath Fathima Photo
Faculty ID TTS3906
Designation Associate Professor
Area of Specialization Deep Learning, IoT, Healthcare Informatics
Official Mail ID drdhilsathfathimam@veltech.edu.in
LinkedIn ID https://www.linkedin.com/in/dhilsath-fathima-b18802111/
ACADEMIC DATA (Degree with Specialization, Institute Name, Completion Year)
UG B.E (Computer Science & Engineering), Arignar Anna Institute of Science and Technology, 2005
PG M.E (Computer Science & Engineering), Sathyabama institute of science & technology, 2011
Ph.D Ph.D (Computer Science & Engineering), Sathyabama institute of science & technology, 2022
EXPERIENCE DETAILS PROFESSIONAL MEMBERSHIP(S) ID
Academics : 16
IEEE ID : 102430505
Research : 3
CSI ID : N/A
Industry : 0
ACM ID : N/A
Total Years : 19
Others : N/A
PUBLICATIONS PATENTS & FUNDS
Journals : 12
Granted Patents : 0
Books & Book Chapters : 5
Published Patents 0
International Conferences : 18
Seed / Sponsored funds (Rs.) : ₹ 1,20,000
PROJECT SUPERVISION
UG Students 30 PG Students 10
Ph.D Supervision
Completed 0 Pursuing 1
RESEARCH PROFILES & LINKS
Scopus Link Scopus Profile →
Web of Science Link WoS Profile →
Google Scholar Link Google Scholar →
AWARDS, ACHIEVEMENTS AND CERTIFICATIONS
  • 1. Delivered a Guest Lecture on “Designing Classes” for Bachelor’s degree students at the School of Business and Technology, IMU University, Malaysia, on 26 August 2026.
  • 2.Received the “Research Excellence Award – Young Researcher” from the Tamil Nadu Professor Association, India, in collaboration with Twintech International University College of Technology, Malaysia, in recognition of outstanding contributions to research, innovation, scholarly publications, and advancement of knowledge.
  • 3.Participated as a Session Speaker at the 2026 International Conference on Sustainable Solutions in Engineering Technologies and Earth Science (ICSSSETES 2026), held from 24–26 August 2026, and delivered a session on “Sustainable Infrastructure Monitoring Using Computer Vision and Deep Learning Techniques.”
  • 4. Published a Q1 journal article in Inflammation Research by Springer
  • 5. Earned NPTEL certifications in “Deep Learning” and “Business Intelligence and Analytics” with Elite+Silver
ANY OTHER INFORMATION
  • Participated in Faculty Development Programmes (FDPs) and workshops on AI/ML technologies
  • Reviewer/Author contribution in peer-reviewed journals and conferences
  • Developed projects using Python, Deep Learning, and Computer Vision