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Department of Mechanical Engineering

Shabbir Ahmed

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Title

Assistant Professor - AI and Robotics

Office Building

Crothers Engineering Hall

Office

216

Mailing Address

Crothers Engineering Hall 216
Mechanical Engineering-Box 2219
University Station
Brookings, SD 57007

CV

Shabbir_Ahmed_CV.pdf(106.69 KB)

Social Media Links

Education

  • Postdoctoral studies at Stanford University| 2022-2024
  • Ph.D. in mechanical engineering | Rensselaer Polytechnic Institute | 2022
  • M.S. in mechanical engineering | North Dakota State University | 2017
  • B.S. in mechanical engineering | Bangladesh University of Engineering and Technology | 2013

Academic Responsibilities

  • ME 451: Automatic Controls

Areas of Research

  • Random vibrations
  • Stress wave propagation in structures
  • System identification and control
  • Statistical signal processing
  • Time series analysis
  • Structural mechanics
  • Dynamical systems: modeling and control
  • Robotics and AI
  • Structural health monitoring
  • Lithium ion battery modeling
  • Lithium ion battery degradation and end of life prediction
  • Battery management system

Publications

  1. Shabbir Ahmed and Fotis Kopsaftopoulos,“Stochastic Identifcation of Guided Wave Propagation under Ambient Temperature via Non-Stationary Time Series Models,” in Sensors, 21(16):5672, 2021. 
  2. Shabbir Ahmed and Fotis Kopsaftopoulos,“Investigation of broadband high-frequency stochastic actuation for active-sensing SHM under varying temperature,”Proceedings of the 12th International Workshop on Structural Health Monitoring (IWSHM),Stanford University, USA, September 2019. 
  3. Shabbir Ahmed, Ahmad Amer and Fotis Kopsaftopoulos,“Data-driven state awareness for fy-by-feel aerial vehicles via adaptive time series and gaussian process regression models,” Proceedings of the International Conference on Dynamic Data Driven Application Systems, October 2020. 
  4. Shabbir Ahmed and Fotis Kopsaftopoulos, “Statistical Active-Sensing Structural Health Monitoring Based on Stochastic Time-Varying Time Series Models,” Proceedings of the American Control Conference 2022, Georgia, USA
  5. Shabbir Ahmed and Fotis Kopsaftopoulos, “Active sensing ultrasonic guided wave-based damage diagnosis via stochastic stationary time-series models” Structural Health Monitoring. 2023;0(0) 
  6. Ahmad Amer, Shabbir Ahmed & Fotis Kopsaftopoulos, “Probabilistic State Estimation Under Varying Loading States via the Integration of Time-Varying Autoregressive and Gaussian Process Models” Structural Health Monitoring, 2023

Department(s)