Long Zhao

Long Zhao is an Assistant Professor in the Department of Analytics and Operations at the National University of Singapore Business School. He holds a Ph.D. in Decision Sciences from the University of Texas at Austin (2019). His research focuses on data-driven decision making, emphasizing the development of intuitive yet high-performing decision tools. Key research areas include synthetic data generation, federated learning, neural networks, and control systems. Notable contributions span privacy-preserving techniques, generative adversarial networks (GANs), and optimization algorithms for complex systems.

His work addresses challenges in vertical federated learning, time-series data synthesis, and underwater robotics applications. Zhao’s publications reflect interdisciplinary strengths, blending machine learning with control theory, privacy engineering, and natural language processing. He has explored topics such as robust neural control for nonlinear systems and adaptive algorithms for multi-agent game scenarios.

Research trends show a strong emphasis on synthetic data’s ethical and practical applications, with over 20 publications since 2019. His projects often bridge theoretical advancements and real-world implementations, such as improving autonomous underwater vehicle intent recognition and enhancing medical data privacy through federated learning frameworks. Grants and advising activities are not explicitly detailed in the provided text.