Curriculum Vitae

For exhaustive details, please see my CV.

Education

• Ph.D. in Electrical Engineering, The George Washington University, 2024
• B.E. in Automation Engineering, Huazhong University of Science and Technology, 2019

Experience

• 2019 – 2024: Research Assistant
  • The George Washington University, Advisor: Prof. Tian Lan.
  • Working on multiple research projects, the topics of which include reinforcement learning, Bayesian optimization, generative AI, computer vision, and network security. Publishing papers in related areas.
  • Responsibilities: Research, experiment, coding, technical writing
  • Highlights: Python, C, C++, MATLAB, PyTorch, Scikit-learn, TensorFlow, Linux Bash, Git
• Summer 2024: Research Engineer Intern
  • Intelligent Fusion Technology, Inc.
  • Designed and Applied the transfer learning algorithm to the domain adaptation task to improve the performance of civilian and military vehicle recognition.
  • Responsibilities: Learning algorithm design, test-driven development, deployment and monitoring
  • Highlights: Python, PyTorch, TensorFlow, Docker, Git
• Summer 2023: Visiting Researcher
  • Purdue University, Collaborator: Prof. Christopher Brinton
  • Developed a continual federated learning model with time-variant input of each edge device using the diffusion generative model for the server and clients.
  • Responsibilities: Continual federated learning convergence derivation, diffusion models design, experiment
  • Highlights: Python, PyTorch
• Spring & Summer 2017: Electronic Engineer Intern
  • HUST Electrical and Electronic Technology Innovation Center
  • Designed the printed circuit board and performed FPGA programming for the adaptive analog signal filter.
  • Responsibilities: PCB design, FPGA programming
  • Highlights: The work won the runner-up prize in the 2017 national undergraduate electronic design contest.

Skills

• Programming Languages: Python, C, C++, MATLAB, Java, SQL, R, Verilog
• Frameworks and Libraries: PyTorch, TensorFlow, Keras, Scikit-Learn, NumPy, Pandas, Matplotlib
• Databases: MySQL, PostgreSQL, Microsoft SQL, MongoDB, ChromaDB
• Tools: Git, Linux Bash, PySpark, Jupyter, LaTex, AWS, GCP, Docker, Kubernetes, Tableau, Altium Designer

Presentations

• GW SEAS 2024 R&D Showcase, April 2024, Washington, DC, US
• GW 2024 Global Business & Policy Forum, April 2024, Washington, DC, US. [Poster]
• ICML 2023 Machine Learning for Multimodal Healthcare Data Workshop, July 2023, Honolulu, HI, US. [Video]
• Presenting to the Office of Naval Research on the project DIALECT, Feb. 2022, Online.
• EAI 17th International Conference on Security and Privacy in Communication Networks, Sept. 2021, Online. [Video]
• Hosting TPCP Software Security Summer School, Aug. 2020, Online. [Video]
• IEEE 14th International Workshop on Software Clones, Feb. 2020, London, ON, Canada.

Services

• Program Committee
  • 2025 Annual AAAI Conference on Artificial Intelligence
  • 2025 International Conference on Autonomous Agents and Multiagent Systems
• Journal Reviewer
  • Reviewer of the IEEE Transactions on Networking
  • Reviewer of the IEEE Micro
  • Reviewer of the IEEE Transactions on Aerospace and Electronic Systems
  • Reviewer of the Information Fusion
• Conference Reviewer
  • Reviewer of the Conference on Neural Information Processing Systems
  • Reviewer of the International Conference on Machine Learning
  • Reviewer of the International Conference on Learning Representations
  • Reviewer of the IEEE International Conference on Acoustics, Speech, and Signal Processing
  • Reviewer of the European Conference on Artificial Intelligence
  • Reviewer of the Chinese Conference on Pattern Recognition and Computer Vision
  • Reviewer of the ICML workshop on Machine Learning for Multimodal Healthcare Data
  • Reviewer of the NeurIPS workshop on New Frontiers in Graph Learning

Awards

• 2025 GW ECE Best Dissertation Honorable Mention Award
• 2023 European Conference on Artificial Intelligence Call to Arms Award
• 2020, 2021, 2022 GW University Fellowship
• 2019 HUST Outstanding Graduates
• 2019 HUST Best Undergraduate Thesis Nominee
• 2017 Runner-up Prize of National Undergraduate Electronic Design Contest.