René Doursat
 Ph.D. Habil.
Research Associate Professor, School of
   Biomedical Engineering, Drexel University


Affiliate Research Fellow, Krasnow
   Institute, George Mason University


Research Scientist & Fmr. Director,
   Complex Systems Institute, Paris
   Ile-de-France (ISC-PIF), CNRS


Co-Founder & Adjunct Lecturer, Erasmus
   Mundus Master's in Complex Systems
   Science, Ecole Polytechnique, Paris



email: rene.doursatdrexel.edu




Book Publications

Morphogenetic
Engineering



Springer, 2012
Cognitive
Morphodynamics



Peter Lang, 2011
Advances in Artificial
Life, ECAL 2011



MIT Press, 2011
Swarm Intelligence,
ANTS 2010



Springer, 2010
IT Revolutions,
ICST 2008



Springer, 2009


Home Page
Research
Teaching
   • Ecole Polytechnique
   • ISC-PIF Courses
   • UNR Courses
   • Other Teaching
   • Competencies
   • Thesis Supervision
Publications
Activities, Grants
Industry
Education, Career
Full CV   (Apr 15, 2013)


Teaching
My main original course, which I first designed at the University of Nevada, explores canonical examples of complex systems through agent-based modeling and numerical simulation. I currently teach it at the European Erasmus Mundus Master's in Complex Systems Science, which I co-founded and coordinated in its beginnings at Ecole Polytechnique, Paris. I also co-organized a series of graduate seminars on cognitive and neural science at the same institution. In addition, I led the annual Summer School at the Complex Systems Institute in Paris four years in a row, and taught six course semesters in computer science at the University of Nevada. I have (co)supervised the thesis and research of 17 postdocs, Ph.D. and M.Sc. students.
Ecole Polytechnique, Paris
Master's in Complex Systems Science
Co-Founder & Coordinator, 2008-2011
Adjunct Lecturer ("Chargé d'enseignement"), 2009-Present
  • HSS 512F: Brain and Cognition (Neuroscience Seminars) (Fall 2010, Fall 2009)

    I co-led with Pr. Yves Frégnac a series of 12 seminars given by prominent invited neural and cognitive scientists (including Jean-Pierre Changeux), on the multiscale neural basis of cognition: from the microscopic level (molecular, genetic and cellular foundations, individual neuron physiology) to the mesoscopic level (computational neuroscience, electrophysiology, complex neural dynamics, neural network modeling) and macroscopic level (cognitive neuroscience, functional imaging, phenomenology, social cognition). After a 1-hour seminar given by the guest researcher, a group of 2-3 students presented a review of selected scientific articles relevant to the seminar's topic. I organized the entire program of invited talks, the distribution of students into groups, co-moderated the sessions with Pr. Frégnac and the guest speaker (comments, questions), closely followed students' preparation and progress by email, and gave one talk myself. More →

    3rd year of engineering degree (= 1st MS year), 2 semesters, 35 students, 12 weeks / sem, 2h / week

    Session 1: Introduction
    Session 11: Complex neurodynamics

Complex Systems Institute, Paris Ile-de-France
Annual French Complex Systems Summer School
Principal Organizer, 2009, 2008 - Co-Organizer, 2010 - Coordinator, 2007 - Instructor, 2007-2011
University of Nevada, Reno
Department of Computer Science
Visiting / Research Assistant Professor, 2004–2006

freshmen, seniors and graduates, 6 semesters, 110 students total, 16 weeks / semester, 2h30 / week
Created over 1,000 original PowerPoint slides, many of which are now used by other instructors.

Other Teaching
Université Libre de Bruxelles & Vrije Universiteit Brussel — Master's in Artificial Intelligence
Guest Instructor, 3/2011, 3/2012

Truckee Meadows Community College, Reno, Nevada — Mathematics Instructor Position
Lead Candidate, 5/2005

The thorough interview process for this position was conducted by a committee of 6 faculty members and consisted of one hour of questions and 30 minutes of a teaching demonstration on a topic given two days ahead. I was selected first among 6 interviewees. (I later declined the position in favor of UNR.)

Golden Gate University, San Francisco, California — Master's in Software Engineering
Guest Instructor, 2003

Ruhr-Universität Bochum, Germany — Graduate Seminars in Cognitive Science
Lecturer, 1992, 1993

Organized and conducted credit seminar courses for graduate students (in German), including lectures and student presentations. Developed courses, selected literature, facilitated discussions:

  • Language and Connectionism (Spring 1993)

    Analysis of the formal vs. dynamical systems debate in cognitive science (i.e., rule-based AI vs. example-based neural networks) from a linguistic perspective.

  • Learning in Artificial and Natural Systems (Spring 1992; co-organizer)

    Overview of learning processes, theories and methods in psychology, animal behavior, neurophysiology and neural networks.

Ecole Supérieure de Physique et Chimie, Paris — Neural Networks for Engineers & Researchers
Training Instructor, 1989, 1990

Teaching Competencies & Interests
Open-ended summary list of domains I have taught or can teach:

Computer science (see also Industry)

  • Core topics: theory and practice of programming languages (object-oriented, procedural, declarative; Java, C/C++, etc.), data structures, algorithms, automata, compilers, operating systems, GUIs, etc.

  • Distributed systems: object distribution and component/middleware frameworks (J2EE, CORBA, Messaging, etc.), Web technologies, application servers, TCP/IP networking, database systems

  • Software engineering: object-oriented methodology, design patterns, software architecture

Research & seminar topics (see also Research Topics)

  • Complex systems, biological modeling & bio-inspired engineering: multi-agent systems, agent-based modeling, cellular automata, artificial life, pattern formation, morphogenesis, swarm intelligence, genetic algorithms, evolutionary computation, complex networks

  • Computational cognitive science: computational neuroscience, artificial & spiking neural networks, neurobiological modeling, cognitive linguistics, pattern recognition, machine learning, computer vision

Undergraduate mathematics & physics

Thesis & Research Supervision — Postdocs, Ph.D. and M.Sc. Students
Adv = main advisor: I proposed research topics and supervised the work
Co-Adv = co-advisor: I contributed to existing topics and co-supervised the work

Postdocs

Ph.D. students

Ph.D. reviews & juries only

  • Weibing Deng, L'Université Nantes-Angers-Le Mans (L'UNAM), France: Examiner, 6/2013 (Adv: Alexandre Wang)
    • On the ranking property and underlying dynamics of complex systems.
  • Anaïs Soubeyran, Université Paris-Sorbonne (Paris 4), France: Reviewer, 12/2012 (Adv: Daniel Andler)
    • Emergence and mind-body problem: towards a characterization of the contemporary notion of emergence and its application in cognitive science.
  • Régis Martinez, Université Lumière Lyon 2, France: Reviewer, 9/2011 (Adv: Hélène Paugam-Moisy)
    • Dynamics of cognitive and complex systems: The role of delays in information transmission.
  • David Colliaux, Ecole Polytechnique, Paris: Reviewer, 5/2011 (Adv: Jean Petitot, Yves Frégnac)
    • Classes of neuronal dynamics and experience dependent structured correlations in a visual cortex.
  • Kristen Manac'h, Université de Bretagne Occidentale, France: Jury Examiner, 1/2011 (Adv: Pierre De Loor)
    • Towards the notion of "enactive" virtual agent: Application to a dynamic evolutionary approach.
  • Daniel Lobo, Universidad de Málaga, Spain: Jury Examiner, 11/2010 (Adv: Francisco Vico)
    • Evolutionary development based on genetic regulatory models for behavior-finding (generative systems based on string grammars).
  • Sylvain Cussat-Blanc, Université Toulouse 1 Capitole, France: Jury Examiner & Chair, 11/2009 (Adv: Yves Duthen)
    • Artificial creatures: The development of organisms from a single cell.
  • Heike Sichtig, Binghamton University SUNY, US: Committee Member & Jury Examiner, 4/2009 (Adv: Craig Laramee)
    • The SGE paradigm: Exploring information processing in biological systems using spiking neural networks (S), a genetic algorithm (G) and expert knowledge (E).

Master's students

  • David Medernach, Master's in Philosophy of Science, Université Paris Diderot (Paris 7): Co-Adv 2012 (Adv: Taras Kowaliw)
    • The usefulness of local rules in open-ended evolution of cellular automata.
  • David Fourquet, Erasmus Master's in Complex Systems, Ecole Polytechnique, Paris: Adv 2011-2012
  • Razvan Dordea, Erasmus Master's in Complex Systems, Ecole Polytechnique, Paris: Adv 2011
  • Pierre Chaigneau, Master's in Philosophy of Science, Université Paris Diderot (Paris 7): Adv 2011 (Co-Adv: Jean Petitot)
    • Can self-organization be architectured? The epistemological gap, and possible bridges, between natural complex systems and complex industrial systems.
  • Adam MacDonald, University of New Brunswick, Fredericton: Adv 2008–2009 (Co-Adv: Mihaela Ulieru)
  • Oscar Sessions, University of Nevada, Reno: Adv 2006–2007 (Co-Adv: Philip H. Goodman) &
  • Milind Zirpe, University of Nevada, Reno: Co-Adv 2006–2007 (Adv: Philip H. Goodman)
    • Recurrent Asynchronous Irregular Networks (RAIN) and NeoCortical Simulator (NCS) benchmarks.
  • James King, University of Nevada, Reno: Co-Adv 2004–2005 (Adv: Philip H. Goodman)
    • Brain communication server: A dynamic data transferal system for a parallel brain simulator.
  • Andreas Schwarz, Ruhr-Universität Bochum, Germany: Adv 1993–1994 (Co-Adv: Christoph von der Malsburg)
    • Coding metric with delayed temporal correlations: An oscillator model of graph-matching.