Zoltán Toroczkai

Associate Professor,
Theoretical Physics

Research Interests:

Prof. Toroczkai's research interests are in Agent-based Systems (fundamental principles, functional evolution, chaotic games control, multiagent-games, collective optimization), Complex Networks (structural modeling, network optimization, queuing networks), Biophysics (population dynamics, epidemics, endosymbiotic evolution, protein folding, neural networks), Computing (parallel computing, scalability, scheduling, heuristic algorithms), and Fluid Dynamics (chaotic advection, tracer dynamics, inertial transport, chemical and biological activity in mixing flows).

Selected Publications:

“Energy landscape networks: An application to protein folding,” E. Ravasz, S. Gnanakaran, Z. Toroczkai, submitted (2008). http://arxiv.org/abs/0705.0912

“Agent-based Modeling as a Decision Making Tool: How to Halt a Smallpox Epidemic,” in Frontiers of Engineering, Z. Toroczkai and S. Eubank, The National Academies, pp. 99 (2005);
reprinted as feature article in The Bridge 35(4) 22 (2005).

“Network dynamics: Jamming is Limited in Scale-free Systems,” Z. Toroczkai, K.E. Bassler, Nature 428, 716 (2004).

“Controlling Epidemics in Realistic Urban Social Networks,” S. Eubank, H. Guclu, V.S.A. Kumar, M. Marathe, A. Srinivasan, Z. Toroczkai and N. Wang, Nature 429, 180 (2004).

“Competition-driven Network Dynamics: Emergence of a Scale-free Leadership Structure and Collective Efficiency,” M. Anghel, Z. Toroczkai, K.E. Bassler,  G. Korniss, Phys. Rev. Lett. 92, 058701 (2004).

“Suppressing Roughness of Virtual Times in Parallel Discrete-Event Simulations,” G. Korniss, M.A. Novotny, H. Guclu, Z. Toroczkai and P.A. Rikvold, Science 299, 677 (2003).

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