Austin Ebel is a third-year Ph.D. Candidate in the ECE department, advised by Brandon Reagen. Prior to coming to NYU, he received a B.S. degree in Electrical Engineering and Computer Science from Columbia University, and spent some time designing ultra-low power, deep learning algorithms, and developing mathematical frameworks for optimal investments in information security. Out...
Haozhe Lei is a Ph.D. student in Electrical and Computer Engineering. He is supervised by Prof. Quanyan Zhu, and works as a member of the Laboratory for Agile and Resilient Complex Systems (LARX). He completed his MS in Computer Engineering at New York University in 2022. His research focuses on the combination of reinforcement learning,...
Boyuan Chen is a Ph.D candidate at NYU Tandon/NYU Abu Dhabi, co-advised by Professors Siddharth Garg (New York) and Muhammad Shafique (Abu Dhabi). He has a broad interest in machine learning, with experience in computer vision and computer graphics, and has authored or coauthored nine papers over the course of his Ph.D., including two addressing...
Xiangjiang Yang is a Ph.D. student in the Electrical and Computer Engineering Department, working in the Laboratory for Agile and Resilient Complex Systems under the supervision of Prof. Quanyan Zhu. His research interests include game theory and cybersecurity. Email: xy2420@nyu.edu Linkedin: https://www.linkedin.com/in/xiangjiang-yang-b233a6172/
Ya-Ting Yang is a Ph.D. student in the Electrical and Computer Engineering Department at NYU Tandon School of Engineering, and is advised by Prof. Quanyan Zhu. She received her Master’s degree in communication engineering from National Taiwan University, and her Bachelor’s degree in Electrical Engineering from National Tsing Hua University. Her current research interests include...
Caleb Beckwith is a Ph.D, Candidate in Mechanical Engineering under the direction of Professor Nikhil Gupta. He received his bachelor’s degree in the fall of 2021 and has been interested in research into cybersecurity since 2020. Caleb’s primary focus is on digital manufacturing and cybersecurity. His research is in additive manufacturing and developing new workflows...
Nicholas Renner is a Ph.D. candidate in the CSE department working in the Secure Systems Lab. His co-advisors are Prof. Justin Cappos and Prof. Brendan Dolan-Gavitt. Nicholas is from Philadelphia, PA. He attended Tufts University for undergrad, and has a Masters degree from the University of Pennsylvania. His research interests include Operating Systems and Security.