About
Salman Khalid is a Research Fellow at the University of Michigan, specializing in Artificial Intelligence, Prognostics and Health Management (PHM), and Civil Infrastructure Monitoring. He holds a Ph.D. in Mechanical Engineering and previously served as an Assistant Professor at Dongguk University. His research focuses on applying machine learning and sensor-based diagnostics to enhance the safety, reliability, and resilience of critical engineering systems. With a strong foundation in intelligent machines, composite structures, and finite element analysis, he is passionate about bridging academia and industry through innovative research, interdisciplinary collaboration, and the development of smart infrastructure solutions.
Employment
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University of Michigan–Ann Arbor Research Fellow2025 - Present
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Dongguk University Assistant Professor2022 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- When sensing meets computational Intelligence: A comprehensive survey on pipeline damage detection and localization Save
- Multi-session, multi-device acoustic dataset for progressive tool degradation monitoring Save
- A Data-Driven, Physics-Based Approach for Time-Dependent Failure Risk Assessment of PCCP Water Mains Save
- AI-Driven Acoustic Signal Classification for Enhanced PCCP Wire Break Detection Save
- Advances in prognostics and health management of light emitting diodes: A comprehensive review Save
- Design Optimization of MOSFET Cu-Clip Packages Using Computational Methods Save
- Intelligent Computational Methods for Damage Detection of Laminated Composite Structures for Mobility Applications: A Comprehensive Review Save
- Estimation of Strain for Large Deformation in SMA-textile Actuator Using Nonlinear Geometry Analysis Save
- Advances in Fault Detection and Diagnosis for Thermal Power Plants: A Review of Intelligent Techniques Save
- Series Solution-Based Approach for the Interlaminar Stress Analysis of Smart Composites under Thermo-Electro-Mechanical Loading Save