Research
"Fostering Thought. Fueling Innovation. Interdisciplinary Minds. Transformative Outcomes."
Areas of Research
3
Interdisciplinary Healthcare Research
Applications of AI in diverse domains
Noncognitive Skills in Education
Our Objectives
Nurture a dynamic research ecosystem in the university
Create an ecosystem that empower the students and faculty in high-impact research. Develop innovative, frugal solutions for societal challenges in multidisciplinary domains.
Establish academia - industry collaborations
Bridge the academia - industry gaps through mutually beneficial collaborative research. We onboard organizations and research advisors to work along with our faculty and students in these projects.
Active & Completed Projects
2
PESU-Ayushman Project: A PESU initiative towards advancing successful ageing in India through clinical research and AI innovations
Ongoing
This is a collaborative project of PESU IMSR and Computer Science & Engineering, EC Campus funded by PES University.
Duration
2 Years | 2025 - 2027
Funding Agency
PES University
Grant Amount
₹16,49,200
Research Opportunities
Currently we have the following opportunities for collaboration.
1. Students - join us as Interns to work on an exciting healthtech project.
We welcome student interns from departments of CSE, CSE/AIML and Nursing to join our project.
2. Faculty - collaborate with us to expand the scope of the project
3. External Researchers - join us to bring impactful research outcomes
4. Entrepreneurs - commercialize some of our research findings
Contact for more details: sudeepar@pes.edu
1. Students - join us as Interns to work on an exciting healthtech project.
We welcome student interns from departments of CSE, CSE/AIML and Nursing to join our project.
2. Faculty - collaborate with us to expand the scope of the project
3. External Researchers - join us to bring impactful research outcomes
4. Entrepreneurs - commercialize some of our research findings
Contact for more details: sudeepar@pes.edu
Accomplishments
Publications:
1. The AgeWell Index: An RF-Seeded Adaptive Genetic Algorithm for Explainable Aging Assessment in Mid-Life Adults – Doi: 10.1109/IITCEE67948.2026.11394091.
2. “Unsupervised Learning for Successful Ageing: Integrating PCA And Autoencoders in the Construction of a Multi-Domain Composite ageing index”, presented at the 10th International Conference on Information System Design and Intelligent Applications (ISDIA-2026) Organized by University of Wollongong in Dubai
1. The AgeWell Index: An RF-Seeded Adaptive Genetic Algorithm for Explainable Aging Assessment in Mid-Life Adults – Doi: 10.1109/IITCEE67948.2026.11394091.
2. “Unsupervised Learning for Successful Ageing: Integrating PCA And Autoencoders in the Construction of a Multi-Domain Composite ageing index”, presented at the 10th International Conference on Information System Design and Intelligent Applications (ISDIA-2026) Organized by University of Wollongong in Dubai
Project Team
Dr. Sudeepa Roy Dey
Principal Investigator
Dr. Rita Christopher
Co-investigator
Prof. Deepa S
Co-investigator
Dr. Sundaravadivel P
Co-investigator
Exploring relevance of noncognitive skills in higher education
Ongoing
Noncognitive skills define a person's attitudes and behaviors in general and they are distinct from cognitive skills or intellectual capabilities. Research in the recent past posited noncognitive skills such as self regulation, resilience, social skills etc. as foundational to educational success, often acting as better predictors of long-term academic and life outcomes than cognitive ability alone. This project explores the role of noncognitive skills specifically in higher education. Objectives of the study included identifying and measuring relevant noncognitive skills that affect academic performance, enabling right interventions and enhanced academic success.
Accomplishments
Publications:
D. Suryaprasad, S. Jayadevappa and B. Shah, "Learnability Index – a Composite Measure for Non-Cognitive Skills Relevant in Academics," 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Takamatsu, Japan, 2020, pp. 349-354, doi: 10.1109/TALE48869.2020.9368476.
Product:
Learnability Index Scale: An assessment tool based on self-reported Likert Scale based instrument for measuring non-cognitive skills relevant in the academic environment.
D. Suryaprasad, S. Jayadevappa and B. Shah, "Learnability Index – a Composite Measure for Non-Cognitive Skills Relevant in Academics," 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Takamatsu, Japan, 2020, pp. 349-354, doi: 10.1109/TALE48869.2020.9368476.
Product:
Learnability Index Scale: An assessment tool based on self-reported Likert Scale based instrument for measuring non-cognitive skills relevant in the academic environment.
Project Team
Deepa Suryaprasad
Principal Investigator
Dr. Suryaprasad J
Co-investigator
Bharathi Shah
Co-investigator