ProfessorsProfessors of Carnegie Mellon UniversityPriya Narasimhan

Priya Narasimhan

Carnegie Mellon University

H-index: 42

North America-United States

About Priya Narasimhan

Priya Narasimhan, With an exceptional h-index of 42 and a recent h-index of 18 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of distributed systems, fault-tolerance, cloud computing, failure diagnosis, embedded systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Survey of Faults and Fault-Injection Techniques in Edge Computing Systems

An Empirical Study of Resource-Stressing Faults in Edge-Computing Applications

Fault Tolerant Edge Computing: Challenges and Opportunities

Quantitative evaluation of application layer protocols for edge-centric real-time iovt applications

Performance-Aware Wi-Fi Problem Diagnosis and Mitigation through Peer-to-Peer Data Sharing

Priya Narasimhan Information

University	Carnegie Mellon University
Position	Professor Electrical & Computer Engineering
Citations(all)	6716
Citations(since 2020)	1209
Cited By	6312
hIndex(all)	42
hIndex(since 2020)	18
i10Index(all)	104
i10Index(since 2020)	29
Email	Access Email
University Profile Page	Carnegie Mellon University
Google Scholar	View Google Scholar Profile

Priya Narasimhan Skills & Research Interests

distributed systems

fault-tolerance

cloud computing

failure diagnosis

embedded systems

Top articles of Priya Narasimhan

Title	Author(s)	Publication Date
A Survey of Faults and Fault-Injection Techniques in Edge Computing Systems	Maryam Pourreza Priya Narasimhan	2023/7/2
An Empirical Study of Resource-Stressing Faults in Edge-Computing Applications	Maryam Pourreza Priya Narasimhan	2023/5/8
Fault Tolerant Edge Computing: Challenges and Opportunities	Maryam Pourreza Priya Narasimhan	2023/5/1
Quantitative evaluation of application layer protocols for edge-centric real-time iovt applications	Maryam Pourreza Priya Narasimhan	2022/10/26
Performance-Aware Wi-Fi Problem Diagnosis and Mitigation through Peer-to-Peer Data Sharing	Nathan D Mickulicz Priya Narasimhan	2020/6/29