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Tao Bian 

PhD

Tao BIAN received the B.Eng. degree in Automation from Huazhong University of Science and Technology, Wuhan, China, in 2012, and the M.Sc. degree in Electrical Engineering from New York University, NY, in 2014, where he is currently working toward the Ph.D. degree. His research interests include approximate/adaptive dynamic programming, nonlinear control, and stochastic
control systems. 

​E-mail: tbian@nyu.edu.​

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Weinan Gao

PhD

His research interests include Machine Learning, Reinforcement Learning, Self-Driving Cars, Adaptive Dynamic Programming, Robust Control, Output Regulation

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Mengzhe Huang

PhD

I am a third-year PhD student at Tandon School of Engineering, New York University (NYU). My advisor is Prof. Zhong-Ping Jiang, who is the director of Control and Networks Lab (CAN Lab) at NYU. My research interests include reinforcement learning and optimal control for autonomous driving system. I also have research experience on designing learning-based control method for mobile robots, which serve as small-scale autonomous vehicles to test our developed algorithms.
control systems. 

​E-mail: m.huang@nyu.edu.​

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Yang Xian

​Graduated in 2012 with a M.S. degree, currently is a PhD candidate in Computer Science Department at Graduate Center, CUNY.

Email : yxian@gc.cuny.edu

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Po-Chen Chen

​Graduated in 2012 with a M.S. degree, currently is a PhD candidate in Computer Science Department at Texus A&M University.

Email : pcheno1@neo.tamu.edu

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Zhi Chen

​Graduated in 2011 with a M.S. degree, currently is a PhD candidate in Computer Science Department at Clarkson University.

Website : zhichen.weebly.com

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Tengfei Liu

​He was a PostDoc in our lab from 2011 to 2013. Currently he is a professor in Northeastern University of China.

Email : tliu@poly.edu



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Xuesong Lu

Graduated in 2013 with a M.S. degre, currently is a PhD candidate in University of Connecticut

​Email : xuesong.lu@uconn.edu

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Krishna Mohan Sharma

MS


He is a current M.S. student from New Delhi, India pursuing his masters in Computer Science from Tandon School of Engineering. He currently works as a Graduate Assistant in the CAN lab with emphasis on Microsoft C# .NET programming with Microsoft Kinect. His research interests includes Image Processing where he builds computer programs to detect finger tip motion and store the coordinates of finger which can be later used to perform data analysis using Machine Learning Algorithm.


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Ashish Gupta

MS

Used real-time human skeleton motion and depth image processing to track hand movement using Microsoft Kinect. Collected a lot of real world data and used linear regression to do the data analysis. Visualized this data in the form of graphs using the R programming.

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Jingyuan Zhan 

Visiting Scholar, PhD

She is a student in Fudan University. Her research interests focus on cooperative control of networked multi-agent systems (MASs), which has a broad range of applications in military, aerospace, and industry fields. Her previous work includes predictive consensus and flocking of networked MASs, and synchronous/asynchronous sampled-data consensus problems.​

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Fangzheng Gao 

Visiting Scholar, PhD

Fangzheng Gao was born in 1980. He graduated from Zhengzhou University, China in 2004. He received his MSc degree in operation research and control theory from Zhengzhou University in 2007. He is now a PhD candidate inthe School of Automation, Southeast University. His research interests include nonlinear system control, robust adaptive control, robot dynamic and control.​