Participants

Giorgio SONNINO is a Senior Scientific Researcher at the Université Libre de Bruxelles (ULB), Department of Theoretical Physics and Mathematics. He is also Scientific Adviser on “Sinergy between Scientific Research and Higher Education” at the European Union - Directorate General for “Education, Youth, Sport and Culture”. He is co-authored of more than 90 scientific papers published in international scientific peer reviewed journals. He is referee of several International peer reviewed International Scientific Journals (e.g. Phys. Rev., The Royal Society, Physics Letters, Physics of Fluids, Nuclear Fusion, MPDI etc.) and Editor of several International peer reviewed International Scientific Journals (e.g. MPDI, JMP, Science Publishing Group etc.). He was appointed Professor at the Università degli Studi di Genova – Italy and at the University of Tor Vergata, Rome – Italy in the framework of the European GOTiT programme. He was awarded with several scientific prizes.

I am a PhD candidate in Mathematics at the University of Trento (Italy), carrying on my PhD research activity at the Complex Multilayer Networks Lab, part of the Bruno Kessler Foundation, in Trento.
I am interested in theoretical Network Science, in particular in Network Geometry, i.e. the bridge(s) between complex networks, graph and spectral graph theory, dynamics, and geometry.

Physicist, PhD on dynamical systems on complex networks. Postdoc on computational social science. I really liked working on: pattern formation, higher-order networks, urban science, contact tracing.

Hello! I am a theoretical physicist working in network science and complex systems at University of Rome Tor Vergata.

Physicist, working on Complex Networks, theoretical models and applications mostly to Economics and Finance.

Statistical Physicists, working on Complex Networks theory and applications to Finance and Misinformation. Happy to chat with you, send a message to Guido.Caldarelli@unive.it

Hello, I'm Memo de Anda from Mexico City. My research is focused on understanding the complexity of biomedical systems. To do so, I use network models to analyze large data, ranging from the molecular to whole populations, in order to identify new ways to improve people's health.

I am an architect (National School of Architecture of Rabat, Morocco), and an urban planner, since 2019 (Master degree in Human and Social Sciences, Urban and territorial planning - INSA and ENSA of Strasbourg, France). I'm currently working on a PhD thesis in the joint research unit TheMA (University of Burgundy - Franche-Comté, UMR CNRS 6049). My PhD work, entitled "Modeling and prospective simulation of road networks morphogenesis based on geohistorical data", aims to better understand the progressive structuring of territorial patterns. The research is applied to the cities of Besançon and Pontarlier (France), through the analysis of their road networks evolution.

I am a PhD student in Network and Data Science, at Central European University (CEU) in Vienna. I am interested in understanding hot topics propagation, popularity prediction, ranking dynamics and the relation with network evolution in social media network such as Sina Weibo, often regarded as the Chinese version of Twitter.

Paper: https://arxiv.org/pdf/2008.04418.pdf
Website: https://networkdatascience.ceu.edu/people/hao-cui
Twitter: @cuihaosabrina
Email: cui_hao@phd.ceu.edu

PhD Student @ ISTAR-Iscte

Inmaculada Leyva is an Associate Professor of Physics at Universidad Rey Juan Carlos of Madrid  (Spain) since 2009 and a staff researcher at the Center of Biomedical Technology,  UPM-Madrid.  She received BSc (1996) and Phd (2001) degrees in Physics from the Universidad Complutense de Madrid, where she worked in experimental optical turbulence in lasers and extended optical systems.  Later she conducted postdoctoral research in the National Institute of Applied Optics in Florence (Italy), where she worked in networked nonlinear and biological systems.

Since 2011 she is a senior member of the Laboratory of Biological Networks (URJC-UPM), where she works in the structure-dynamics relationship, phase transitions, and self-organization of complex networks.

Scott Kelso’s research is devoted to understanding how human beings (and human brains)—individually and together—coordinate their behavior on multiple levels, from cells to cognition to (most recently) social settings (see http://www.ccs.fau.edu/hbblab/index.php). Since the late 1970's his approach has been grounded in the concepts, methods and tools of self-organizing dynamical systems tailored to the activities of animate, living things (moving, perceiving, learning, remembering, developing, etc.), a theoretical and empirical framework that has come to be called Coordination Dynamics. From 1978 to 1985 Kelso was Senior Research Scientist at Yale University’s Haskins Laboratories in New Haven, Connecticut. Since then, Kelso has held the Glenwood and Martha Creech Eminent Scholar Chair in Science at Florida Atlantic University (FAU) in Boca Raton, Florida where he founded and directed (1985-2005) The Center for Complex Systems and Brain Sciences. Kelso is also Emeritus Professor of Computational Neuroscience at Ulster University in his hometown of Derry~Londonderry, in the north of Ireland. Kelso and colleagues' research has been published in multidisciplinary journals such as Science, Nature, PNAS and Proc. Roy. Soc., as well as other prominent journals in the fields of neuroscience, physics, biology and psychology. His books include Dynamic Patterns: The Self-Organization of Brain and Behavior (MIT Press, 1995), Coordination Dynamics (Springer, 2004) and The Complementary Nature (with D.A. Engstrøm) published by MIT Press in 2006. A recent edited contribution is Learning to Live Together: Promoting Social Harmony (Springer Nature, 2019). Kelso is a Fellow of APA, APS, SEP and AAAS and has received a number of honors and awards for his work, including the MERIT, Senior Scientist and Director’s Innovations Awards from the U.S. National Institute of Health. In 2007 he was named Pierre de Fermat Laureate and in 2011 he was the recipient of the Bernstein Prize. He was inducted as an Honorary Member of the Royal Irish Academy in 2016. Trained in a specifically interdisciplinary setting, Kelso’s PhD students and Postdocs have gone on to careers in some of the top academic and research institutions in the world, a fact that he is especially proud of.

My name is Jason Kim, and I am a PhD student at the University of Pennsylvania in the lab of Danielle S. Bassett. My research interests broadly involve modeling complex behaviors of interacting systems, with specific interests in control, computation, and mechanisms.

Jeroen has a background in human movement and brain sciences, and holds a MSc degree in Computational Science from the University of Amsterdam. He’s currently performing graduate research at the Radboud UMC department of Geriatrics and the Institute for Advanced Study (IAS) in Amsterdam.

He’s interested in the application of computational methods for understanding complex systems like the human brain. Specifically, he’s fascinated by holistic approaches such as multi-scale and systems dynamics models due to their explanatory scope. It’s his ambition to employ such approaches to make contributions to our understanding of neurodegenerative and psychiatric disorders. The focus of his current research is on Alzheimer’s Disease.

I am a Postdoctoral Researcher at the Joint-Research Center for Computational Biomedicine, RWTH Aachen University. I am here to learn more about ongoing work in complex networks and their applications to biological systems.

Please feel free to look me up here: https://www.combine.rwth-aachen.de/index.php/people-detail/jeyashree-kri... or here: http://www.jeyashreekrishnan.com/

I am always looking for opportunities to work with great people on various projects. So if you find that we have any intersecting research interests, I am always up for a chat! Thanks for dropping by!

My name is Jingmeng Cui, and I'm currently a research master's student at Radboud University. My major research interest is developing dynamic and systematic methods for psychology.

At this conference, I will present our project about constructing the potential landscape for psychological dynamics. The link is here: http://ccs2020.web.auth.gr/metaphor-computation-constructing-potential-l...

Feel free to reach me through the following ways if you have anything that you want to discuss!

Email: jingmeng.cui@outlook.com
Twitter: @CUI_Jingmeng

I'm also looking for a Ph.D. position starting in 2021Fall. Also feel free to contact me if you have any related information or you think I might be a suitable candidate for your team!

Joana is a an Associate Professor at the Physics Department of Instituto Superior Técnico, in Lisbon, and the PI of the Social Physics and Complexity (SPAC) lab at LIP. She is the Director of the Graduate Program Science for Development, aimed at students for the Portuguese-speaking African countries and the coordinator of the Science for Society Initiative, both at the Instituto Gulbenkian de Ciência.

SPAC works on applying complex systems tools to Public Health and Decision Making. These include theoretical, experimental and computational approaches to epidemiology, critical thinking and disinformation spread.

Very importantly, pretty much all SPAC members also strongly engage in research or public discussions on: AI Ethics, Social Impacts of Big Data, Diversity in STEM, Science Communication and Outreach.

Joana was the recipient of an ERC Starting Grant in 2019 and is hiring. More information here: http://scienceandpolicy.eu/

Mathematics PhD student at the University of Oxford

Studying the dynamics of "neuromorphic" nanowire networks under electrical stimulation. Presenting in Brain I session.

I work in cancer modeling as a graduate researcher - analysis of Boolean/logical models of intracellular signaling and regulation and in cell-based modeling of cell-cell and cell-environment interactions (multi-cellular systems). Cancer is a complex system - full of feedbacks, independent agents, the emergence of hierarchies of order, distributed communication, and ultimately, multi-scale phenomena resulting in combinations of disease-like and health-like states. I aim to use multiscale modeling and complex systems analysis to gain insight into cancer, better maintaining healthy states for individuals.