Venkat Margapuri, PhD
Assistant Professor, Computing Sciences | Villanova University
Villanova, PA, UNITED STATES
Dr. Margapuri researches in the fields of Artificial Intelligence and Machine Learning for applications in agriculture and healthcare.
Areas of Expertise (8)
Artificial Intelligence
Machine Learning
Computer Vision
Hardware Security
Cyber Physical Systems
Image Processing
Databases
Cyberattacks
Biography
Dr. Margapuri's research is focused on the field of cyber-physical systems wherein he develops end-to-end software and hardware solutions to drive applications in the fields of agriculture and medicine. His work leverages and advances Artificial Intelligence and Machine Learning, and he can discourse on a diverse range of problems within this space.
Links (1)
Affiliations (1)
- Villanova’s Center of Excellence in Enterprise Technology (CEET)
Select Media Appearances (2)
Reimagining Data Management for the Real-Time, AI-Powered Future
Database Trends and Applications online
2024-04-11
This means rethinking the roles of databases and data environments as something more than simply a means to store and retrieve data. “AI applications such as large language models rely extensively on the idea of semantic pattern matching—finding similarity between different data points to make decisions,” said Venkat Margapuri, assistant professor of computer science at Villanova University. “Traditional databases don’t provide the ability to perform pattern matching.”
The Pa. Online Court System was Partially Shut Down in the Latest Cyberattack to Affect our Region
NBC 10 tv
2024-02-06
Yesterday, a cyberattack left the PA online court system partially shut down. It was the latest of several recent high-profile attacks in the region. Villanova University's Venkat Margapuri offered his analysis on the attackers’ methods and goals.
Research Grants (1)
Monitoring Bombus, floral abundance and diversity using computer vision and autonomous aerial vehicles
United States Department of Agriculture $749,086
05/01/2024
Select Academic Articles (3)
Learning Parallelism through an Unplugged Class Activity
Journal of Computing Sciences in Colleges2024
Detection of unknown galaxy types in large databases of galaxy images
EPiC Series in Computing2021
