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Shabbir Ahmed

Shabbir Ahmed

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

Department(s)