Dr. Beckett Zhou

Assistant Professor

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Biography

Beckett Zhou is an Assistant Professor at the Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology. His research focuses on developing efficient aerodynamic and aeroacoustics simulation optimization frameworks, supported by multi-fidelity methodologies and data-driven methods. Dr. Zhou earned his master's degree from the Massachusetts Institute of Technology in 2012 and his Ph.D. from RWTH Aachen University in 2018, with a thesis on ‘Numerical Optimization for Airframe Noise Reduction’. After completing his doctoral studies, he conducted post-doctoral research at NASA Langley Research Center, with a focus on adjoint-based broadband noise reduction and stochastic noise generation. Prior to joining Georgia Tech in November 2024, Dr. Zhou was a lecturer in Aeroacoustics at the University of Bristol from March 2021 to October 2024, where he led research in computational aeroacoustics within the Department of Aerospace Engineering. His interdisciplinary research areas include Vertical Lift, Urban Air Mobility, Large-Scale Computations, Data Analytics, Sustainable Transportation, and Energy Systems.

Research Interests

Experience

Assistant Professor

2024-11-01 — Present

Georgia Institute of Technology • Atlanta, GA

Research focuses on aerodynamic and aeroacoustics simulation optimization frameworks.

Lecturer in Aeroacoustics

2021-03-01 — 2024-10-01

University of Bristol • Bristol, UK

Led computational aeroacoustics research in the Department of Aerospace Engineering.

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.