Participants

Theoretical Physicist
Simulation, algorithm development, machine learning
Works at SINTEF in Norway as a Research Scientist

Shlomo Havlin is a Professor in the Physics Department at Bar-Ilan University in Israel, Adjunct Professor at Boston University and a Visiting Professor at Tokyo Institute of Technology. He has carried out fundamental research in applications of statistical physics to areas such as complex networks, infrastructure resilience, geophysics, climate, medicine, biology, and others. Most recently, he has focused on developing a percolation framework to study interacting networks such as the interdependence between infrastructure networks; developing a novel framework to study climate networks, and novel methods for understanding traffic congestion in urban settings. Havlin has published over 800 scientific papers and is among the few most cited scientists in Israel with over 94,000 citations and an h-index of 136 (Google Scholar). For his studies, Havlin has been awarded many international prizes  including the Lilienfeld Prize (2010) from the American Physical Society, the Rothschild Prize (2014), the Order of the Star of Italy (2018), and the Israel Prize for Physics and Chemistry (2018).

I am a Provost's Distinguished Associate Professor at Georgetown University's Department of Biology. Before joining Georgetown University in 2012, I completed a RAPIDD postdoctoral fellowship at the CIDD at Penn State University and the Fogarty International Center at NIH, under the mentorship of Professor Bryan Grenfell and Dr. Ellis McKenzie. I completed my Ph.D in 2008 in network modeling and infectious disease ecology at the University of Texas at Austin and was advised by Professor Lauren Ancel Meyers. I was a NASA-Jenkins Fellow during this time.
I am an interdisciplinary mathematical biologist, and my research is focused on the development of data-driven mathematical models for the prevention and containment of human and animal infectious diseases using tools from network science, statistical physics, computer science and statistics.

Assoc Prof CHEONG Siew Ann joined the Division of Physics and Applied Physics, School of Physical and Mathematical Sciences in August 2007. He received his B.Sc.(Hons) in physics from the National University of Singapore, and his Ph.D. from Cornell University. Prior to joining Nanyang Technological University, he was a postdoctoral associate at the Cornell Theory Center. His research interest is in complex systems and complex networks.

Simon A. Levin received his B.A. from Johns Hopkins University and his Ph.D. in Mathematics from the University of Maryland. At Cornell University 1965-1992, he was Chair of the Section of Ecology and Systematics, and then Director of the Ecosystems Research Center, the Center for Environmental Research and the Program on Theoretical and Computational Biology, as well as Charles A. Alexander Professor ofBiological Sciences (1985-1992). Since 1992, he has been at Princeton University where he is currently James S. McDonnell Distinguished University Professor in Ecology and Evolutionary Biology and Director of the Center for BioComplexity. He retains an Adjunct Professorship at Cornell, where he still has many valued colleagues, was a Distinguished Visiting Professor at UC Irvine from 2007-2016, and recently became a Distinguished Visiting Professor at Arizona State University. His research interests are inunderstanding how macroscopic patterns and processes are maintained at the level of ecosystems and the biosphere, in terms of ecological and evolutionary mechanisms that operate primarily at the level of organisms; in infectious diseases; and in the interface between basic and applied ecology. Levin is a Fellow of the American Academy of Arts and Sciences and the American Association for the Advancement of Science, a Member of the National Academy of Sciences and the American Philosophical Society, and a Foreign Member of the Istituto Veneto and the Istituto Lombardo. He is a University Fellow of Resources for the Future, a Fellow of the Beijer Institute of Ecological Economics, a Fellow of the Society for Industrial and Applied Mathematics, and a Fellow for the Society for Mathematical Biology. He also has received honorary doctorates from Eastern Michigan University, Whittier College, Michigan State University, McMaster University, and the University of Victoria. He chaired the Governing Council for IIASA for more than five years and was Vice-Chair from 2009-2012. He serves on the Science Board of the Santa Fe Institute, which he co-chaired from 2007-2010. He is also Vice-Chair for Mathematics of the Committee of Concerned Scientists. Levin is a former President of the Ecological Society of America and the Society for Mathematical Biology, and a past Chair of the Board of the Beijer Institute of Ecological Economics. He won the MacArthur Award (1988), Distinguished Service Citation (1998) and the Eminent Ecologist Award (2010) of the Ecological Society of America, the Okubo Award of the Society for Mathematical Biology and the Japanese Society for Theoretical Biology, and the Distinguished Scientist Award of the American Institute for Biological Sciences. Hewas honored with the Dr. A.H. Heineken Prize for Environmental Sciences by the Royal Netherlands Academy of Arts and Sciences (2004), the Kyoto Prize in Basic Sciences (2005) by the Inamori Foundation, and the Margalef Prize (2010) of the Government of Catalonia, the Luca Pacioli Prize from Ca’Foscari University of Venice, Italy, the Tyler Prize for Environmental Achievement (2014), and most recently, the National Medal of Science (2014, announced 2015, awarded 2016). Levin has mentored more than 100 graduate students and postdoctoral fellows, and has published widely. He is the editor of the influential Princeton Guide to Ecology and the landmark Encyclopedia of Biodiversity.

Master's in Physics @ Sharif University of Technology, interested in Computational Social Science, Networks, Game Theory, Agent-Based Modelling, ... .
Check out some animations describing my research projects here:
https://sepante.github.io/blog/

I broadly work in the domain of Nonlinear Dynamics and Network Science as a Ph.D. candidate at the Indian Institute of Science Education and Research (IISER) Tirupati, India. I have some experience with Physiological data modeling (ECG) and recurrence based time series analysis, and I am very much interested in Astrophysical data. The focus of my doctoral research is on adaptive networks, to model Power Grids and social networks; in addition to recurrence networks from time series. I plan to explore the field of dynamical networks in the future, with applications to model/analyze real-world complex systems.

I discussed our recent work on deciphering cardiac dynamics using multiplex recurrence networks at CCS2020.
The talk can be accessed here: https://bit.ly/2K6uscm

Please come join the satellite session on Early Warning Signals for Complex Systems, details: https://sites.google.com/view/ews-ccs2020/home

The up-to-date list of my recent publications: http://studyphysicswithme.com/complexsystems/about-me/

My research mainly applies simulation-based research approaches (agent-based simulation) to questions in the context of management science and the interconnection between organizational research and complex systems. Recent work is concerned with rendering neoclassical models into (multi-agent) models and the emergence of management controls, the emergence of coalitions among human decision-makers, behavioral control using the human belief system, and organizational and social learning.

PhD candidate at University of Burgundy, France. My work focuses mainly on centrality measures and communities in complex networks.

I am an Associate Professor at the School of Sociology and a Geary Fellow at the Geary Institute for Public Policy at University College Dublin, Ireland. Formerly I was a Senior Research Fellow in Computational Social Science at the Oxford Internet Institute, a Turing Fellow at the Alan Turing Institute for Data Science, and a Research Fellow in Humanities and Social Sciences at Wolfson College, University of Oxford. I am interested in analysis of large-scale transactional data and conducting experiments to understand human dynamics, government-society interactions, mass collaboration and collective intelligence, information and opinion dynamics, collective behaviour, and online dating.

Takashi Ikegami is a professor in the Department of General Systems Sciences at the University of Tokyo. His works encompasses both the arts and sciences and deal with complex systems and artificial life. He received his doctorate in physics from the University of Tokyo in 1989. Currently, he is a professor at the Department of General System Studies, at the University of Tokyo. His research is centered on complex systems and artificial life, a field which aims to build a possible form of life using computer simulations, chemical experiments and robots. Some of these results have been published in ”Life Emerges in Motion” from Seido Book Publishers in 2007 and “In Between Man and Machine” (Kodansha, 2016). He has been doing media arts since 2005. Filmachine (with Keeichiro Shibuya, YCAM, 2006), Mind Time Machine (YCAM, 2010), Long Good bye (With Kenshu Shintsubo, Japan Alps Festa, 2017), Offloaded Agency (Barbican, 2019).

I'm a Complexity Sciences PhD student at ISCTE - University Institute of Lisbon. I am studying the agenda-setting effects of the media on Twitter, using topic modeling to understand the influence of the media in users’ content.
website: https://tiago-santos.eu/

Look forward to this event... and ....do not miss Room 2 on Dec 10 at 18:00.....enjoy :)

I am a Postdoctoral Researcher at the Fondazione Bruno Kessler in Trento, Italy. My research is focused on unravelling spazio-temporal patterns of human and brain dynamics. To this aim I use data analysis and modeling methods developed in Complex Systems, Machine Learning and Information Theory. Mail: vdandrea@fbk.eu

This year we celebrated the 80th birthday of one of the founders of Chaos Theory, Otto Rossler.

A special issue of "Chaos Journal" was published to honour him and his pioneering work. The presentation is based on our contribution to this issue ("Labyrinth chaos: Revisiting the elegant, chaotic, and hyperchaotic walks", Chaos 30, 113129 (2020); https://doi.org/10.1063/5.0022253 by Vasileios Basios, Chris G. Antonopoulos, and Anouchah Latifi).

Here is its summary: "In the course of their pioneering work on the properties of feedback circuits and their relation to chaos and hyperchaos, Otto Rossler and Rene Thomas proposed a minimal model of a dynamical system they termed Labyrinth Chaos. It turned out that even though it is simple, it is full of surprising properties that no-one could have thought of. Simple and elegant as it is, it still holds great promise for elucidating aspects of chaotic dynamics that are not evident in other systems. Our paper revisits their work and highlights the incredible riches of this system in its disconcerting simplicity and importance in the context of dynamical systems and in other fields."

Our preprint is available at arXiv [nlin.CD]: https://arxiv.org/abs/2011.11009

Researcher in Institute of Nanoscience and Nanotechnology, NCSR Demokritos, Greece. Main research interests mathematical and computational analysis of complex nanostructured surfaces of novel materials.

Research Fellow at Nanyang Technological University, Singapore.

I am interested in theoretical, mathematical and computational physics, reinforcement learning, complex systems, chaos, general relativity.

Victor Yakovenko is a Professor of Physics at the University of Maryland.  He is a Fellow of the American Physical Society and was a recipient of the Sloan Research Fellowship and the Packard Fellowship in Science and Engineering.  He is a theoretical physicist with more than 30 years of research in electronic properties of various materials.  In addition, he joined the emergent econophysics movement in 2000 by publishing a paper "Statistical Mechanics of Money".  Over the next twenty years, his ideas became increasingly popular and initiated an expanding wave of follow-up papers by many researchers around the world.  The work by Yakovenko has also been covered in the media, such as Science magazine, New York Times Magazine, American Scientist, New Scientist, Science TV Channel, Australian Financial Review, and the UK Engineering and Technology Magazine.  Yakovenko has given more than 100 invited talks on this subject.  He was a recipient of a grant from the Institute for New Economic Thinking.

Victor Yakovenko graduated from Moscow Physical-Technical Institute with M.S. in 1984 and completed his Ph.D. at the Landau Institute for Theoretical Physics, Moscow in 1987, where he was subsequently employed as a Research Scientist.  In 1991 he became a Postdoc at the Department of Physics, Rutgers University.  In 1993 he joined the University of Maryland, College Park as Assistant Professor and became Associate Professor in 1999 and Full Professor in 2004.

Dr Vivian Rambihar, Toronto cardiologist for 40 years and Adjunct Assistant Professor of Medicine at the University of Toronto, has been involved in chaos and complexity for 30 years, graduating from the new and innovative McMaster Medical School in 1975, which he has termed a complexity medical school. Around 1990 he was fortuitously exposed to 4 publications – Fascinating Rhythm: a Primer of Chaos Theory and its application to cardiology – Denton et al, 1990 AHJ, books - Turbulent Mirror 1990 by Briggs and Peat, Fractals: the Patterns of Chaos 1992 by Briggs, and Chaos Making a New Science 1987 by Gleick, which transformed his thinking and led him to rewrite medicine form a chaos and complexity perspective. He convened a multidisciplinary conference on Chaos in Medicine at the University of Toronto in 1993, and has lectured widely on using ideas from chaos and complexity in medicine, health, society, and diversity and health, being the first to do so in medicine. He has written a few books – CHAOS From Cos to Cosmos: Making a New Medicine, 1997, A New Chaos Based Medicine: the response to evidence, 2000 and Tsunami Chaos Global Heart: using complexity science to rethink and make a better world, 2005, the later available free online. He has advocated complexity thinking for educating health professionals and doctors for the 21st century to deal with complex 21st century issues, and has advocated using chaos and complexity for understanding and stopping Covid-19, through lectures, writing and posts. He feels that since complexity is thought to be the science for the 21st century by Stephen Hawking, it should apply to medicine, health, society, and Covid-19.