PESU Research Foundation
“Cultivating Thought. Igniting Impact.”
About PESURF
Modern global challenges do not fit perfectly into academic silos. Traditional research often stays trapped in publications, failing to reach the communities and industries that need it most. PESU Research Foundation (PESURF) serves as a pivotal anchor within the university, bridging this gap and nurturing a vibrant research culture. Fostering innovative, yet frugal solutions to address pressing real-world challenges is central to our engagement with student and faculty researchers within the university and external collaborators.
Our core pillars that translate academic theory into practical applications are :
Cultivate - We foster deep, analytical thought. We provide our researchers with the intellectual space and resources needed to question the status quo.
Ignite - We fuel continuous innovation. By providing cutting-edge infrastructure and strategic funding, we accelerate the journey from spark to solution.
Converge - We unite interdisciplinary minds. We bring together engineers, scientists, humanists, and industry experts to solve problems from every angle.
Impact - We deliver transformative outcomes. Success for us is not measured by only publications, but by scalable, tangible changes in society and industry.
Areas of Research 4
Interdisciplinary Healthcare Research
Research in this domain is led by an interdisciplinary team of researchers to understand and solve multiple healthcare related problems through advanced technology
Applications of AI in diverse domains
Research in this area explores recent advancement in AI for breakthroughs in various fields
Noncognitive Skills in Education
Research in this domain is focused on the impact and predictive capabilities of noncognitive skills in academic success
Our Objectives 2
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 3
PESU-Ayushman Project: A PESU initiative towards advancing successful ageing in India through clinical research and AI innovations
OngoingThis is a collaborative project with PESU IMSR and Computer Science & Engineering, EC Campus focused on advancing research in Successful Aging, funded by PES University Internal Research Grant. The project aims to develop and validate an AI assisted tool for assessment of healthy aging suitable for the Indian population.
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
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
Exploring relevance of noncognitive skills in higher education
OngoingNoncognitive 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.
Our Researchers 6
Research Funding
Partners & Collaborators
Tools & Technologies 3
IBM SPSS Statistics
IBM SPSS Statistics is a comprehensive, user-friendly software platform for advanced statistical analysis, data management, and data visualization. "IBM SPSS Statistics is a comprehensive statistical analysis platform designed to help organizations and individuals extract reliable insights from data. It combines robust statistical testing, predictive modeling, regression, and forecasting with streamlined data preparation and automated analysis. With built-in extensibility for Python and R, scalable licensing, and deployment flexibility, it empowers its users across levels to move confidently from data to defensible, data-driven decisions." For more details: https://www.ibm.com/products/spss-statistics
IBM SPSS Regression
Add-on module for IBM SPSS Statistics for regression models studies. "IBM® SPSS® Regression enables you to predict categorical outcomes, create regression models, analyze model summaries and apply various nonlinear regression procedures to datasets when studying consumer buying habits, treatment responses, efficacy of diagnostic measures, credit risk analysis and other situations where ordinary regression and data analysis techniques are limiting or inappropriate." More details available at https://www.ibm.com/products/spss-statistics/regression
IBM SPSS Advanced Statistics
Add-on module for IBM SPSS Statistics for advanced statistical analysis of data. "IBM® SPSS® Advanced Statistics provides a comprehensive suite of univariate and multivariate analysis tools to uncover deeper insights from your data". More details at https://www.ibm.com/products/spss-statistics/advanced-statistics
Get Involved
Interested in working with PESURF?
Reach out to collaborate on a project, join as an intern or scholar, or explore a research partnership.