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This is very out of date. Sorry. Will try to fix it. Stay tuned.

"Professor Doyle's current research interests are in theoretical foundations for complex networks, primarily in network engineering and biology." He is also "interested in multiscale physics and financial markets, and the interplay between robustness, feedback, control, dynamical systems, computation, communications, and statistical physics." <> Aug 2008

Prof. Doyle has "applied complex ideas of robust design and control to many fields and is working on a unified theory of control in engineering, physics and biology." <> Aug 2008


Current Projects

  • Systems Biology (Fiona Chandra, Genti Buzi)
  • Fluids: Turbulence Modeling (Dennice Gayme)
  • Physiology: Dynamic Modeling of Heart Rate Variability (Li Na, Jerry Cruz)
    • Heart rate (HR) in healthy humans has high variability, and loss of this HR variability (HRV) is a signature of stress, fatigue, aging, or disease1-9. Correlating health and high HRV using time series analyses is popular in clinical and athletic training10 research, but its practical impact has been limited by lack of specific physiological mechanisms explaining HRV patterns. Conjectures attributing the cryptic etiology of HRV to complex feedbacks and nonlinear dynamics have similarly lacked mechanistic explanation. We leverage concepts from physiology, evolution, and control theory to analyze data from exercising athletes and develop mechanistic models explaining correlations between health, stress, and HRV.
  • Internet and Networking (Lijun Chen, Javad Lavaei, Somayeh Sojoudi)
  • Economics (Jerry Cruz)
    • Market Bubbles and Crashes: We use tools from mathematical finance and stochastic control theory to investigate asset price bubbles and crashes in financial markets. We wish to gain insight using models that account for financial intermediation and associated frictions. Moreover, recent local-martingale characterizations of bubbles may provide avenues into developing new methods of empirical testing for bubbles.
  • Distributed Control (Javad Lavaei, Nader Motee, Li Na)
    • Designing Games for Distributed Opitmization (Li Na)
      The central goal in multiagent systems is to design local control laws for the individual agents to ensure that the emergent global behavior is desirable with respect to a given system level objective. Ideally, a system designer seeks to satisfy this goal while conditioning each agent's control law on the least amount of information possible. Unfortunately, there are no existing methodologies for addressing this design challenge. The goal of this research is to address this challenge using the field of game theory. We develop a systematic methodology for distributed optimization using the framework of state based potential games.

Research Grants

  • Some joint grants with Prof. Steven Low:
    • MURI Analysis and modeling of networks with long range dependence (LRD) characteristics (PI - Jean Walrand, UC Berkeley; Co-PIs - John Doyle, Steven Low, R. Srikanth (UIUC), V. Anantharam & A. Zakhor (UC Berkeley), D. Towsley & W. Gong (U. Mass. Amherst)2008
    • NSF RI WAN in Lab (Newman, Psaltis, Yip) 2003-08
    • NSF NeTS Collaborative Research: Optimization and Games in Interdomain Routing 2006
    • NSF STI Multi-Gbps TCP: Data Intensive Networks for Science & Engineering (Bunn, Newman) 2002-05
    • NSF ITR Optimal and Robust TCP Congestion Control 2001-04
    • ARO DURIP Hybrid WAN in Lab (Newman, Psaltis, Yip) 2004-05
    • ARO Network Research Analytical Theory of Protocols 2002-05
    • ARO Network Science Networked control systems (Murray, Parrilo (MIT)) 2005-2006

(Note that other Co-PI are noted in brackets on these joint grants with Prof. Low and Prof. Doyle)

Past Projects



Collaborative groups

  • and more...

See also

More research links



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