Gayathri Sundaram, PhD
Assistant Professor, Computer Science and Engineering
gayathri.sundaram@email.com • +91 94433 17862 • Coimbatore, India • linkedin.com/in/gayathrisundaram
Professional Summary
Assistant professor of computer science with 7 years of teaching and a PhD in machine learning for medical imaging. Teaches data structures, machine learning and deep learning to undergraduate and postgraduate students, with average course feedback of 4.5 out of 5. Has published 14 papers, 9 in Scopus-indexed journals, holds a funded research project, and guides 3 PhD scholars.
Education
Anna University
Chennai
PhD, Computer Science (Machine Learning for Medical Imaging)
2017 – 2022
Thesis on lightweight convolutional networks for retinal image screening.
PSG College of Technology
Coimbatore
M.E., Computer Science and Engineering
2015 – 2017
Anna University (affiliated college)
Coimbatore
B.E., Computer Science and Engineering
2011 – 2015
Work Experience
Westhill Institute of Technology
2021 – Present
Assistant Professor, Department of CSE
- Teach 3 courses a semester to about 180 B.E. and M.E. students, including Machine Learning and Deep Learning labs, with average feedback of 4.5 out of 5.
- Lead a state-funded research project of ₹18 lakh on early detection of diabetic eye disease from retinal images.
- Guide 3 PhD scholars and supervised 22 undergraduate final-year projects; 4 projects won awards at state-level contests.
- Coordinate the department's accreditation documentation for outcome-based education, covering course outcomes and attainment for 40 courses.
Riverside College of Engineering
2018 – 2021
Assistant Professor (on contract)
- Taught Data Structures, Operating Systems and Python Programming to 2nd-year students.
- Set up a Python and machine learning lab with 60 systems and open-source tools.
- Organized a 5-day faculty development program on deep learning for 80 teachers from 20 colleges.
Certificates
UGC NET (Computer Science and Applications), National Testing Agency
2018
NPTEL Elite certificate – Deep Learning, NPTEL
2020
Skills
Teaching: Machine learning, deep learning, data structures, Python, operating systems, outcome-based education, LMS (Moodle), lab design, curriculum development
Research: Medical image analysis, convolutional neural networks, PyTorch, TensorFlow, research writing, grant proposals, peer review
Languages
Tamil (Native) • English (Fluent)
Selected publications
Scopus-indexed journal, lead author
2024
A lightweight convolutional network for retinal image screening on low-cost devices
SCI-indexed journal, co-author
2023
Transfer learning for grading diabetic retinopathy with small datasets
Full list on Google Scholar
14 papers in total: 9 Scopus-indexed and 2 SCI-indexed journal papers, 5 international conference papers