Soundar Kumara
Biographic Data
| ID | 5544547 |
|---|---|
| NAME | Soundar Kumara |
| GIVEN NAMES | Soundar |
| FAMILY NAME | Kumara |
| SIGNATURE | KUMARA S |
| AFFILIATIONS | College of Engineering, The Pennsylvania State University |
| ORCID | 0000-0002-7941-8818 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Digital twin technology for engineering education: An experiential learning case study
The evolving landscape of modern manufacturing demands a workforce equipped with both theoretical knowledge and practical hands-on skills. This paper explores experiential engineering education through a case study of undergraduate interns integrated within a small manufacturer to extend classroom learning through Digital Twin (DT) technologies and Internet of Things (IoT) data collection. Interns participated in data collection, system modeling,…
Near linear time algorithm to detect community structures in large-scale networks
Community detection and analysis is an important methodology for understanding the organization of various real-world networks and has applications in problems as diverse as consensus formation in social communities or the identification of functional modules in biochemical networks. Currently used algorithms that identify the community structures in large-scale real-world networks require a priori information such as the number and sizes of comm…
No prominent works on this page.
Near linear time algorithm to detect community structures in large-scale networks
Community detection and analysis is an important methodology for understanding the organization of various real-world networks and has applications in problems as diverse as consensus formation in social communities or the identification of functional modules in biochemical networks. Currently used algorithms that identify the community structures in large-scale real-world networks require a priori information such as the number and sizes of comm…
Digital twin technology for engineering education: An experiential learning case study
The evolving landscape of modern manufacturing demands a workforce equipped with both theoretical knowledge and practical hands-on skills. This paper explores experiential engineering education through a case study of undergraduate interns integrated within a small manufacturer to extend classroom learning through Digital Twin (DT) technologies and Internet of Things (IoT) data collection. Interns participated in data collection, system modeling,…
A priori and a posteriori (1 works) · Algorithm (1 works) · Automation (1 works) · Community structure (1 works) · Complex network (1 works) · Complex Network Analysis Techniques (1 works) · Computer Science (1 works) · Curriculum (1 works) · Data mining (1 works) · Data Visualization and Analytics (1 works)