Larry S. Liebovitch, Ph.D.
Professor
Department of Physics and
Department of Psychology
Dean of the Division of Mathematics and Natural Sciences 20102013
Accomplishmenrts
as Dean
Queens College, City University of New York
6530 Kissena Boulevard
Physics Department
Science Building
Room B322
Flushing, NY 11367
Telephone: 718.997.3390
email:larry.liebovitch@qc.cuny.edu


B.S.
Physics, City College of New York, 1972
Ph.D. Astronomy, Harvard University, 1978
In
1995, elected as a Fellow of the American Physical Society
"For advancing the physics of fractals and chaos and using
these methods to analyze and understand biological systems." 
Curriculum
Vitae Resume (1page)
Article
about Dr. Liebovitch from Emerging: The Newsletter of the Plexus
Institute (July/August 2005)
En espanol  from number 21 of
"Komplex", a monthly newsletter edited by O+berri, the
Basque Institute of Innovation (29 de mayo de 2006)

Oxford
University Press
Fractals and Chaos Simplified 
Fractals and Chaos Simplified for the Life
Sciences
 by Larry S. Liebovitch
 Oxford University Press, New York NY, 1998
 ISBN 0195120248
 This book explains the properties of fractals and chaos and illustrates
them with examples from biology and medicine. The aim is to provide
a basic understanding to people who are unfamiliar and/or afraid
of mathematics. However, enough mathematical detail is provided
so that biomedical scientists can learn how to use these new
methods in their own research. The material is presented one
concept at at time on facing pages, with text on the left page and
graphics on the right page. The graphics pages can be copied onto
transparencies to use to teach this material.

published by
Bio
Med Central
www.nonlinearbiomedphys.com 
Nonlinear Biomedical Physics
 New online journal of nonlinear methods from the physical sciences applied
to biology and medicine.
 Articles that cross the cultural divide from mathematics to the life
sciences.
 EditorsinChief: Zbigniew CZERNICKI, Wlodzimierz KLONOWSKI, and Larry
LIEBOVITCH

SAGE Publications, Quantitative Applications in the Social Sciences,
Volume 165
SAGE:
QASS Vol. 165 
Fractal Analysis in the Social Sciences
 by Clifford T. Brown and Larry S. Liebovitch
 SAGE Publications, Thousand Oaks, CA, 91320
 ISBN: 9781412971652
 This primer uses straightforward language to give the reader stepbystep
instructions for identifying and analyzing fractal patterns and
the social process that create them. By making fractals
accessible to the social science students, this book has a
significant impact on the understanding of human behavior.
 Detailed examples help readers learn and understand the analytical methods
presented.
 Clear and logical explanations of fractals and their analysis enable the
instructor to easily teach and the student to easily learn the
material.
 MATLAB programs
to analyze data.

Springer, Peace Psychology Book Series
Attracted
to Conflict 
Attracted to Conflict: Dynamic Foundations
of Destructive Social Relations by
 R. R. Vallacher
 P. T. Coleman
 A. Nowak
 L. BuiWrzosinska
 L. Liebovitch
 K. Kugler
 A. Bartoli
 Springer, New York, NY, 10013
 ISBN: 9783642352799
 Addresses intractable social conflict from the new vantage point of
dynamical systems.
 Authored by leading researchers in the field with different relevant
backgrounds.
 Addresses a broad audience of researchers in the natural sciences and
humanities.

Current
Research 
Current Research Interests
The
analysis of complex systems that have many interacting parts.

PEOPLE: Models of Conflict
We are applying concepts from the dynamics of physical
systems to model the interactions between two or more people and
then, as part of a
team of social
scientists, using social psychology laboratory experiments to test the
predictions of those models. Liebovitch et al., 2008,
Physica
A387:63606378

GENES: Differentiation of Blood
Stem Cells
We are using mathematical
models of the interaction of genes (such as GATA1 and PU.1) to
predict how changes in the levels of signaling proteins and gene
expression lead to different cell fates from progenitor blood stem cells. These
predictions will be tested by experiments to be done at the Institute
for Stem Cell Research at the Helmholtz Center Munich, Germany.

DRUGS: Turning Deleterious Drug
Interactions Into Useful Multidrug Therapies
Drugs designed for a specific target are always found to have
multiple effects. We are exploring how to use computational methods
to predict which combinations of drugs, whose effects interfere with
each other, in just the right way, to produce more targeted results
with fewer side effects. Liebovitch et al., 2007,
Nonlinear
Biomedical Physics, 1:11..

EPIDEMICS: Spread of Infectious
Diseases
We are modeling the spatial and
temporal transmission of infectious agents through geographically
distributed "patches" of people. These models give insight
into how diseases spread in response to natural and human created
events. Rho et al., 2008,
Phys. Letts.
A372:50175025.

ECONOMICS: Econophysics
We are analyzing the prices of commodities from ancient
Babylon and medieval England to determine if ancient economies
functioned as supply and demand systems, like modern economies. The
challenge here is how to analyze time series data when there are
gaps of 70% to 95% in the data.
Europhysics Letters
90:18004.

ARCHEOLOGY: Movements of People
and the Spatial Distribution of their Artifacts
We are using new methods, based on fractals, to analyze and
understand the migration patterns of people and the spatial
distribution of their artifacts at archeological sites. Brown et al.,
2005, J. Archaeological
Method and Theory 12:3778.

Recent
Publications 
Recent Publications

L. S. Liebovitch, Y. Tao, A. T. Todorov, and L. Levine. 1996.
Is there an error
checking code in the base sequence in DNA? Biophysical Journal,
71:15391544 (pdf).. 
L. S. Liebovitch, A. T. Todorov, M. Zochowski, D. Scheurle, L. Colgin, M.
A. Wood, K. A. Ellenbogen, J. M. Herre, and R. C. Bernstein. 1999.
Nonlinear
properties of cardiac rhythm abnormalities. Phys. Rev E,
59:33123319. (pdf) 
M. Zochowski and L. S. Liebovitch. 1999.
Selforganizing
dynamics of coupled map systems. Phys. Rev E, 59:28302837 (pdf). 
S. B. Lowen, L. S. Liebovitch, and J. A. White. 1999.
Fractal ionchannel
behavior generates fractal firing patterns in neuronal models.
Phys. Rev E, 59: 59705980 (pdf) 
M. A. Wood, K. A. Ellenbogen and L. S. Liebovitch. 1999.
Electrical storm in patients with transverse implantable
cardioverterdefibrillatorsJ. Am. Coll. Cardiology,
34:950951. 
L. S. Liebovitch, A. T. Todorov, M. A. Wood, and K. A. Ellenbogen. 2000.
When using the mean is meaningless: examples from
probability theory and cardiology, In Handbook of Research
Design in Mathematics and Science Education Eds. A.
E. Kelly and R. Lesh, Lawrence Erlbaum Assoc. Inc, Mahwah NJ, pp.
913926. 
L. S. Liebovitch, and D. Scheurle. 2000.
Two lessons
from fractals and chaos. Complexity,
5(No.4):3443. (html). 
L. S. Liebovitch and A. T. Todorov. 2000.
What causes ion channel proteins to open and close? In Disorder Versus
Order in Brain Function, Eds. Peter Arhem, Clas
Blomberg, and Hans Liljenstrom, World Scientific, River Edge, NJ,
pp. 83106. 
W. A. Varanda, L. S. Liebovitch, J. N. Figueira, and R. A. Nogueira.
2000.
Hurst analysis
applied to the study of single calciumactivated potassium channel kinetics in
Leydig cells. J. Theoret. Biol., 206: 343353. (pdf) . 
L. S. Liebovitch, Daniela Scheurle, Marian Rusek, and Michal Zochowski.
2001.
Fractal
methods to analyze ion channel kinetics. Methods
24:359375 (pdf). 
L. A. Shehadeh, L. S. Liebovitch, and M. A. Wood. 2002.
Temporal patterns of atrial arrhythmia recurrences in patients with
implantable debfibrillators: implications for assessing
antiarrhythmic therapies. J. Card. Electrophys.13:303309. 
L. S. Liebovitch and Piotr Krekora. 2002.
The physical basis of
ion channel kinetics: the importance of dynamics. Institute
for Mathematics and its Applications Volumes in Mathematics and its
Applications, Membrane Transport and Renal Physiology,Eds. H. E. Layton
and A. M. Weinstein, 129:2752. (html) 
L. S. Liebovitch, T. Penzel, and J. W. Kantelhardt. 2002.
Physiological relevance of scaling of heart phenomena. In The Science of
Fractal Disasters: Climate Disruptions, Heart Attacks, and Market
Crashes, Eds. A. Bunde, J, Kropp, and H. J. Schellnhuber,
Springer, Berlin, pp. 258281. 
L. S. Liebovitch and I. B. Schwartz. 2003.
Information
flow dynamics and timing patterns in the arrival of email viruses.
Phys. Rev. E. 68 :0171011  0171014.
(pdf). 
L. S. Liebovitch and I. B. Schwartz. 2004.
Migration induced
epidemics: Dynamics of Fluxbased multipatch models. Phys. Lett. A
332 :256267. (pdf). 
C. T. Brown, W. R. T. Walter, and L. S. Liebovitch. 2005.
The Broken Past: Fractals
in Archaeology. J. Archaeological Method and Theory
12 :3778. (pdf). 
L. S. Liebovitch and Lina A. Shehadeh. 2005.
Chapter 5. Introduction
to Fractals (pdf). In Tutorials in Contemporary Nonlinear
Methods for the Behavorial Sciences Web Book Eds. M. A. Riley
and G. V. Orden, National Science Foundation, Directorate for
Social, Behavorial and Economic Sciences,
http://www.nsf.gov/sbe/bcs/pac/nmbs/nmbs.jsp 
L. A. Shehadeh, L. S. Liebovitch, and V. K. Jirsa. 2006.
Relationship between
global structures of genetic networks and mRNA levels measured by
cDNA microarrays (pdf).Physica A 364
:297314. 
L. S. Liebovitch. 2006.
Why the eye is
round. in Biology of the Eye, Ed. J. Fischbarg.
Elsevier, New York, NY, pp. 119. 
L. S. Liebovitch, V. K. Jirsa, and L. A. Shehadeh. 2006.
Structure of
genetic regulatory networks: Evidence for scale free networks (pdf).
In Complexus Mundi: Emergent Patterns in Nature, Ed.
M. M. Novak, World Scientific, Singapore, pp. 18. 
L. S. Liebovitch. 2006.
What is "SelfOrganization"?
(pdf) In Emgering, The Newsletter of the
Plexus Institute, AprilAugust 2006, pp. 1619. 
C. T. Brown, L. S. Liebovitch, and R. Glendon. 2007.
Levy flights in Dobe
Ju'/hoansi foraging patterns (pdf). Human Ecology
35:129138. 
L. S. Liebovitch, N. Tsinoremas, and A. Pandya. 2007.
Devloping
combinatorial multicomponent therapies (CMCT) of drugs that are more
specific and have fewer side effects than traditional one drug
therapies (pdf) Nonlinear Biomedical Physics 1:11 (30
August) doi:10.1186/1753463111107. 
Y.A. Rho, L. S. Liebovitch, and I. B. Schwartz. 2008.
Dynamical response
of multipatch, fluxbased models to the input of infected people:
Epidemic response to initiated events (pdf) Physics Letters
A 372:50175025.
doi:10.1016/j.physleta.2008.05.065

L. S. Liebovitch, V. Naudot, R. Vallacher, A. Nowak, L. BuiWrzosinska, and
P. Coleman. 2008.
Dynamics of
twoactor cooperationcompetition conflict models. (pdf) Physica
A 387:63606378.
doi:
10.1016/j.physa.2008.07.020 
N. E. Romero, Q. D. Y. Ma, L. S. Liebovitch, C. T. Brown and P.
Ch. Ivanov. 2010.
Correlated walks down the
Babylonian markets (pdf) Europhysics Letters (EPL) 90:18004. doi:
10.1209/02955075/90/18004. 
C. Witkov and L. S. Liebovitch. 2010.
Predicting optimal sweep
rates for autoresonance in Duffingtype oscillators: A beat method
using TeagerKaiser instantaneous frequency J. Sound and
Vibration 329(8):11541164. doi:10.1016/j.jsv.2009.10.030 
C. Marr, F. J. Theis, L. S. Liebovitch, and M.T. Huett. 2010.
Patterns
of subnet usage reveal distinct scales of regulation in the transcriptional
regulatory network of Escherichia coli (pdf) PLoS Computational
Biology 6(7): e1000836. doi:10.1371/journal.pcbi.1000836 
L. S. Liebovitch, R. Vallacher, and J. Michaels. 2010.
Dynamics of cooperationcompetition interaction model, Peace and Conflict:
The Journal of Peace Psychology, 16(2):175188. 
J. L. Michaels, V. Naudot, and L. S. Liebovitch. 2010.
Dynamic
stabilization in the PU1GATA1 circuit using a model with timedependent kinetic
change Bulletin of Mathematical Biology doi:
10.1007/s1153801096153 
L. S. Liebovitch and V. Naudot. 2011.
Open problems in the
dynamics of the expression of gene interaction networks (pdf), In Frontiers
in the Study of Chaotic Dynamical Systems with Open Problems, Ed. Z. Elhadj and
J. C. Sprott, World Scientific, Singapore, pp. 219229. 
L. S. Liebovitch, Paul R. Peluso, M. D. Norman, J. Su, and J. M. Gottman.
2011.
Mathematical
model of the dynamics of psychotherapy. Cognitive Neurodynamicsdoi:
10.1007/s115710119157x 
R. Peluso, L. S. Liebovitch, J. M, Gottman, and J. Su. 2012.
A
Mathematical Model of Psychotherapy: An Investigation Using Dynamic Nonlinear
Equations to Model the Therapeutic Relationship. Psychotherapy Research
22(1):4055, doi: 10.1080/10503307.2011.622314 
A. RojasPachecoa, B. ObregonQuintanab, L.S. Liebovitch, and L.
GuzmanVargasa. 2013.
Timedelay
effects on dynamics of a twoactor conflict model. Physica A392:458467,
doi: dx.doi.org/10.1016/j.physa.2012.09.021 
L. Kurt, K. G. Kugler, P. T. Coleman, and L. S. Liebovitch. 2014.
Behavioral and emotional dynamics of two people struggling to reach a consensus
about a topic on which they disagree. PLOS ONEPublished: January 10, 2014 DOI: 10.1371/journal.pone.008460 
Recent
Courses 
Recent Courses

Fall 2009
Fractals in
Psychology
PSY 3502
86664 M.W.F 1:00 PM  1:50 PM, Building 44, Social Science Building,
Room 270, Boca Raton
This course shows how fractal methods can be used to analyze
experimental data and gain a better understanding of the physiology and
psychology of perception and behavior.

Fall 2008
Methods in Complex
Systems
ISC 6450
84633 M.W.. 12:30 PM  1:50 PM, Building 12, Behavioral Sciences
Building, Room 303, Boca Raton
Linear, parametric,
nonparametric, and nonlinear analysis of experimental data: The
stuff that they told you and that they didn't tell you in undergraduate
statistics. This course helps you to understand the assumptions used in these
statistical methods and which statistical methods are best for
analyzing different types of data.
Required for the Ph.D. program in Complex Systems and Brain
Sciences.
This course can also be used as the
first semester course needed to fulfill the statistics requirement
for graduate Psychology majors. (The Laboratory in Statistics is
also required for Psychology Students.)

Spring 2008
Fractals in Psychology
PSY 3502
15529 M.W.F noon  12:50 PM,
Building 55, Physical Sciences Building, Room 109, Boca Raton
This course shows how fractal methods can be used to analyze
experimental data and gain a better understanding of the physiology and
psychology of perception and behavior.

Fall 2007
Seminars in
Neuroscience
ISC 6930
16030 .T... 3:30 PM  4:20 PM, (Charles E. Schmidt BioMedical
Science Center, Building BC71, Room 276, Boca Raton)
Speakers from other universities, FAU, and student presentations
about Neuroscience.
This course will
likely be one of those required for an FAU Graduate Certificate in
Neuroscience that is now under consideration.

Spring 2007
Application of Fractals
to Psychology
PSY 4930
16349 M.W.F 11:00 AM  11:50 AM, (Social Sciences Building
SO, Room 276, Boca Raton)
This course shows the use of fractal methods applied to
Psychology.

Fall 2006
Complexity for the
Life Sciences
PSY 5930
15854 M.W.. 9:30 AM  10:50 AM, (Building BS12, Room 303, Boca
Raton)
Most things are made up of many pieces that interact strongly with
each other.
Yet much of science has tried to study
things by tearing them apart and studying only their tiny separate,
noninteracting pieces.
Here we will learn how the
science of "complexity" is able to help us see, analyze,
and understand complex entities in physics, chemistry, biology, and psychology.
Note: This course may serve as an
elective for psychology graduate students if it has been approved by
a student's advisor and committee; but it cannot be substituted for
a core course; it may only serve as an elective.

Spring 2006
Psychology and the
Internet
PSY 4930
15298 M.W.F 11:00 AM  11:50 AM (PS 227 Boca Raton)
The INTERNET has become an important mode of how people acquire
information, interact with each other, and conduct business.
Thorough knowledge of the INTERNET is becoming
of pivotal importance in academic Psychology and in the Business
environment.
This course will:
Tell
you what the INTERNET is, how it works, and how it came to be.
Describe the social space and processes that happen over
the INTERNET.
Describe how the Internet is
changing social interactions, businesses, politics, and the
military.

Fall 2005
ProSeminar
ISC 6937
12506 Wednesdays 2:00 PM (BS 303 Boca
Raton map)
The Center for Complex Systems and Brain Sciences
Faculty will each describe their research interests and the active
research projects in their laboratories.
A
way to learn about the current research activities of our Center.
A way to identify a laboratory and professor for future research
projects.

Spring 2005
The Mathematics and
Science of Fractals
MAT 1932
15094 M.W.F 11:00  11:50 AM (GS 109 Boca Raton)
Mathematics for undergraduate students who never liked
and never did well in math.
This course can be used as
one of the mathematics courses (besides Statistics) needed to
fulfill the mathematics requirement for undergraduate Psychology
majors.

Fall 2004
Fractals and Chaos for
the Life Sciences
ISC 5451
20662 .Tuesday.Thursday. 11:00 AM  12:20 PM FL 317
(Fleming Hall, Boca Raton)
Graduate/Undergraduate
course of the mathematics of fractals and chaos applied to cellular,
physiological, and psychological systems.
(Mathematical level:
calculus and differential equations.)

Spring 2004
The Mathematics and
Science of Fractals
MAT 1932
15115 M.W.F 11:00  11:50 AM (GS 115 Boca Raton)
NOTE: room change
Mathematics for undergraduate students who never liked and never
did well in math.
This course can be used
as one of the mathematics courses (besides Statistics) needed to
fulfill the mathematics requirement for undergraduate Psychology majors.
Methods in Compex
Systems
ISC 6450
18426 M...F 1:00 PM  2:50 PM (Complex Systems & Brain
Sciences Classroom, Innovation Centre II)
Linear
and nonlinear analysis of experimental data: The stuff that they told you and
that they didn't tell you in undergraduate statistics.
Required for the Ph.D. program in Complex Systems and Brain
Sciences. It can also be used as the first semester course needed to
fulfill the statistics requirement for graduate Psychology majors.

Fall 2003
The Psychology of the
Internet
PSY 4930
14891 M.W.. 11:00 AM  12:20 PM (GCS107 Boca Raton)
The INTERNET has become an important mode of how people acquire
information, interact with each other, and conduct business.
Thorough knowledge of the INTERNET is becoming of pivotal importance
in academic Psychology and in the Business environment.
This course will:
Tell you what the INTERNET is
and how it works.
Describe the social space and
processes that happen over the INTERNET.
Give you
information about resources available for learning about Psychology
over the INTERNET.

last revised January 24, 2014



