University of Illinois at Urbana-Champaign, 2013
PhD, Electrical and Computer Engineering
University of Toronto, 2008
Master of Applied Science, Electrical and Computer Engineering
McGill University, 2006
B. ENG in Honours Electrical Engineering, Electrical and Computer Engineering
Postdoctoral Research Associate
From: August 2013 to December 2013
- R. Zhang; Q. Zhu; Y. Hayel, "A Bi-Level Game Approach to Attack-Aware Cyber Insurance of Computer Networks," in IEEE Journal on Selected Areas in Communications, to appear.
- T. Zhang and Q. Zhu, "Dynamic Differential Privacy for ADMM-Based Distributed Classification Learning," in IEEE Transactions on Information Forensics and Security, vol. 12, no. 1, pp. 172-187, Jan. 2017.
- H. Tembine, Q. Zhu, and T. Başar. Risk-sensitive mean-field games. IEEE Transactions on Automatic Control, 59(4), April 2014
- M.H. Manshaei, Q. Zhu, T. Alpcan, T. Başar, and J.-P. Hubaux. Game theory meets network security and privacy. ACM Computing Survey, 45(3):25:1-25:39, June 2013.
- Q. Zhu, Z. Yuan, J.B. Song, Z. Han, and T. Başar. Interference aware routing game for cognitive radio multi-hop networks. IEEE J. on Selected Areas in Communications (JSAC) Special Issue: Cognitive Radio Series (CRS), 30(10):2006-2015, November 2012.
- Q. Zhu, C. Fung, R. Boutaba, and T. Başar. GUIDEX: A game-theoretic incentive-based mechanism for intrusion detection networks. IEEE J. on Selected Areas in Communications (JSAC) Special Issue: Economics of Communication Networks & Systems (SI-NetEcon), 30(11):2220-2230, December 2012.
- Game Theory and Applications
- Resilient and Secure Socio-Cyber-Physical Systems
- Adversarial Machine Learning and Signal Processing
- Human-Robot Interactions
- Internet of Things
- Game and Decision Theory for Cyber Security
- Economics and Optimization of Infrastructure Systems
- Resource Allocations in Communication Networks
- EE-UY 3064 Feedback Control Systems
- EL-GY 9213 Game Theory
- EL-GY 9223 Reinforcement Learning
- EL-GY 9233 Cyber-Physical Human Networks
- EL-GY 9243 Convex Optimization and Optimal Control
- EL-GY 9253 Cyber Risks, Deception and Decision-Making
- EL-GY 9263 Stochastic Processes and Control
- EL-GY 5213 Introduction to System Engineering
- EL-GY 6233 System Optimization Methods
We are looking for PhD graduates who are interested in multidisciplinary research related to cyber-physical security and privacy, system and control theory, machine learning and game theory. Interested candidates should email their CV/Resume to email@example.com
We are actively looking for motivated undergraduate and graduate students in research projects on the Internet of Things, cyber-physical systems, machine learning, smart cities and next-generation systems and control. Interested students should email their CV/Resume to firstname.lastname@example.org
NYU undergraduate and graduate students can also get involved in research projects through the following courses:
- EE-UY 4223 Electrical Engineering Design Project II
- EE-UY 397 Senior Thesis
- EL-GY9941 Advanced Projects III
- EL-GY9953 Advanced Projects I
- EL-GY9963 Advanced Projects II
- EL-GY997x MS Thesis in Electrical & Computer Engineering
2017 Undergraduate Summer Research Program:
- IoT Project: Analyzing Security, Privacy and Trust in the Cloud-Based Internet of Things
- IoT Project: Cyber-Physical Control of Unmanned Arieal/Ground Vehicles
- Data Science Project 1: Load Balancing of Citi Bikes
- Data Science Project 2: Optimizing the Quality and Delivery of City Emergency Medical Services
- Security Game Project: Board Game Design and Game-Theoretic Analysis for Learning Cyber Attack and Defense
- Phishing for Phools: Investigation of Cyber Deception and Cyber Crimes
Interested undergraduate students can apply using the following link
or send their CV/Resume to email@example.com
Vertically Integrated Projects (VIP) Program
The Laboratory for Agile and Resilient Complex Systems (LARX) invites undergraduate students who are interested in the VIP on Smart Internet of Controlled Things.
Description: The Internet of Things foresees a highly networked future, where every object is integrated to interact with each other, allowing for communications between objects, as well as between humans and objects, which enables the control of intelligent systems in our daily lives. This project aims to design and prototype smart, resilient and secure IoTs that can adapt to changing environment, uncertainties, and adversarial behaviors. This project will allow students to leverage knowledge from communications, signal processing, and systems and control to build applications including smart homes, smart healthcare, smart grids and smart building.