Back to PES.edu
PE

PESU Research Foundation

PESURF

"Fostering Thought. Fueling Innovation. Interdisciplinary Minds. Transformative Outcomes."

EC Campus Est. 2024 pesurf@pes.edu Visit Website
₹2.4 L / ₹16.49 L
External / PESU Funding
Overview
About the research centre
Research Areas
Fields of research and focus
Team
Researchers and team members
Funding
Research funding and grants
Collaborations
Partners and collaborators
Resources
Tools and technologies used

About PESURF

PESU Research Foundation (PESURF) serves as a pivotal anchor for research within the university, committed to nurturing a vibrant research culture that drives scholarly excellence and interdisciplinary innovation. Fostering innovative, yet frugal solutions to address pressing real-world challenges is central to our engagement with the budding researchers.

Areas of Research

3
Interdisciplinary Healthcare Research
Applications of AI in diverse domains
Noncognitive Skills in Education

Our Objectives

2
Nurture a dynamic research ecosystem in the university

PESU RF will focus on creating an ecosystem that empower the students and faculty in high-impact research and developing innovative, frugal solutions for societal challenges in multidisciplinary domains.

Establish academia - industry collaborations

PESU RF aim to bridge 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 funded by PES University

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.

Our Researchers

5
Deepa S
Professor
Deepa S
Director
View Profile
R
Research Advisor
Raghavendra Bhat
Research Advisor
Intel Corporation
View Profile
Richa Sharma
Professor
Richa Sharma
Researcher
View Profile
Sumedha Chhatre
Research Advisor
Sumedha Chhatre
Research Advisor
University of Pennsylvania
View Profile

Research Funding

PES University
PES University Internal Research Fund
₹16,49,200
Crores

Approved in PES University Internal Research Fund 2025

External
Student Internship Support
₹2,40,000
Crores

Six Student interns supported by Green Method Enterprises/ActiveBytes Technology

Partners & Collaborators

Industry Partners
Green Method Enterprises

Tools & Technologies

Software Tools
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