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NTU: Academic Profile: Prof Peter M. A. Sloot

Academic Profile

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Academic Profile

Prof Peter M. A. Sloot

Co-Director, Complexity Institute
Professor


Email: PSLOOT@NTU.EDU.SG
Phone: (+65)6592 3052
Office: Blk 2 Innovation Centre, Level 2 Unit245

Education
  • PhD (CompSc) University of Amsterdam 1988
  • 1st Deg Phy Teacher University of Amsterdam 1984
  • MSc (ChemPhy) University of Amsterdam 1983
Biography
Research interests:

I try to understand how nature processes information. I study this 'natural information processing' in complex systems by computational modeling and simulation as well as through formal methods. My work is applied to a large variety of disciplines with a focus on -but not limited to- Biomedicine. Recent work is on modeling the virology and epidemiology of infectious diseases, notably HIV, through Complex Networks, Cellular Automata and Multi-Agents. Recently in my work I try to build bridges to socio-dynamics. Currently I lead two large EU projects: ViroLab and DynaNets and supervise research from various NIH, NSF and NWO and Royal Academy projects.

Education: M.Sc. Chemistry (1983), M.Sc. Physics (1983), PhD. Computer Science (1988).

Honors and awards: Visiting Professor Santa Fe Institute on Complex Systems (1995), NNV Distinguished Professor Computational Physics (1996). Visiting Professor (1996, ITB Bandung, Indonesia), IEEE selected member TFCC (2005 -). Visiting professor (Griffith University, Brisbane, Australia, 2005). Visiting Professor NTU (Singapore, 2009 - 2012), WorldComp 2009 award (Las Vegas, 2009), Leading Scientist Award (3.6 M€)(St. Petersburg, Russian Federation, 2010).

Publications and disseminations: I published over 460 papers, books and edited volumes. I have given over 20 Radio and TV interviews on various scientific results, including two documentaries of my work .

A selection of recently published work :

A. Sottoriva, J. J.C. Verhoeff, T. Borovski, S. K. McWeeney, L. Naumov, J. Paul Medema, L. Vermeulen and P. M.A. Sloot, Modeling Cancer Stem Cell Driven Tumor Growth Reveals Invasive Morphology and Increased Phenotypical Heterogeneity. CANCER RESEARCH, in press (2010). Impact Factor = 7.5.

P.M.A. Sloot; P.V. Coveney; G. Ertaylan; V. Müller; C.A.B. Boucher and M.T. Bubak: HIV Decision Support: From Molecule to Man, Phil . Trans. R. Soc. A, vol. 367, nr 1898 pp. 2691-2703. 2009. (DOI: 10.1098/rsta.2009.0043). Impact Factor = 2.5.

S. Mei; R. Quax; D.A.M.C. van de Vijver; Y. Zhu and P.M.A. Sloot: Increasing risk behaviour can outweigh the benefits of antiretroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam, BMC Infectious Diseases, vol. 11, nr 118 17 pages. 2011. (DOI: 10.1186/1471-2334-11-118). Impact Factor = 2.8

A.G. Hoekstra; J. Kroc and P.M.A. Sloot, editors: Simulating Complex Systems by Cellular Automata, in series Understanding Complex Systems, 384 pages. Springer, 2010. ISBN: 978-3-642-12202-6.

P.M.A. Sloot and A.G. Hoekstra: Multi-scale modelling in computational biomedicine, Brief in Bioinform, vol. 11, nr 1 pp. 142-152. Oxford University Press, 2010. (DOI: 10.1093/bib/bbp038). Impact Factor = 9.28.


More you can find at: http://www.peter-sloot.com/
Research Interests
I try to understand how nature processes information. I study this 'natural information processing' in complex systems by computational modeling and simulation as well as through formal methods. My work is applied to a large variety of disciplines with a focus on -but not limited to- Biomedicine. Recent work is on modeling the virology and epidemiology of infectious diseases, notably HIV, through Complex Networks, Cellular Automata and Multi-Agents. Recently in my work I try to build bridges to socio-dynamics. Currently I lead two large EU projects: ViroLab and DynaNets and supervise research from various NIH, NSF and NWO and Royal Academy projects.

See: http://www.peter-sloot.com/
Current Projects
  • Computational modelling of cell death dysregulation in ageing-related diseases
  • Understanding Critical Transitions in Complex Systems’
Selected Publications
  • Peter Sloot. (2015). http://info.computationalscience.nl/papers/sloot.html. Nature, .

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