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Science is most interesting when it subverts expectations. As a medic in the army, I used to think of the world in terms of strict hierarchies; some central governing agency gives orders, which trickle down the chain of command. However, it turns out that most biological systems do not work this way, instead distributing control among the members of the group (be they genes, cells, animals). I have since dedicated my research career to understanding how this works. Currently, I am a postdoctoral fellow at Arizona State University in the School of Complex Adaptive Systems, which is the same university where I received my PhD.
I am broadly interested in using both experimental and theoretical tools to uncover the cognitive mechanisms that underlie self-organization in complex adaptive systems. I am also interested in the optimal design of experiments for the biological sciences.
I have a particular interest in the way in which social network structure influences dynamic processes operating over the netowrk, such as adoption of behaviour or spread of disease. More generally, I am interested in using complex systems methods to understand social phenomena.
I have been researching in synchronization between agent-based-models (ABM) and multi robot systems used in logistic and manufacturing. I use Netlogo as ABM.
I develop and agile methodology to use the same ABM as supervisory control and data aquisition (SCADA). The framework works fine and I test it in two SCADAs, which you can see in my youtube channel (http://www.youtube.com/channel/UCJIb_UL-ak98F5OZxOHL0FQ).
Interested in numerical models and new conceptual ideas, applications from industry to medicine.
I focus on numerical modeling of mechanics of solid materials and cell mechanics. The models that I developed so far address granular matters, bio-fluids, cellular tissues, and individual cells.
I further develop Agent-based Models, which are methods to predict collective behavior from individual dynamics controlled by rules or differential equations. Examples: tumor growth, swarms, crowd movement.
The methods I used are Particle-based methods which offer great flexibility within physical modeling, and can operate in a large range of scales, from atomistic scales (e.g. Molecular Dynamics) to continuum approaches (e.g. Smoothed Particle Hydrodynamics).
I am an assistant professor in the Department of Computer Science at the Hamedan University of Technology, Hamedan, IRAN. I have completed my Ph.D. in Futures Studies (foresight) as an interdisciplinary field, an intersection of social sciences and engineering. My
background comes from computer science. For my Ph.D., I decided to pursue my education in Futures Studies; the field I thought I could apply engineering principles such as requirements engineering, analytical skills, design, modeling, planning, and, test engineering to shape the
desired futures. In PhD, I started the complex systems research field and agent-based modeling with NetLogo. In addition to several publications of papers, I published a book on complex systems titled “Futures Studies in Complex Systems” which was awarded as the book of the year by the Iranian Foresight Association.
Since May 2021, I started a research collaboration with TISSS Lab at the Johannes Gutenberg University Mainz as a project coordinator, the German Research Centre for AI, Human-Centered Multimedia, and the Centre for Research in Social Simulation. The project title is “AI for Assessment” and its objective is to understand the status quo and the future options of AI-based social assessment in public service provisions to help in the creation of improved AI technology for social welfare systems.
On the executive side, I have also various experiences, including head of the department, deputy of the Technology Incubator Center, director of university’s research affairs, and head of the International Scientific Cooperation Office.
Complex Systems, Social Modeling and Simulation
Engineering the Futures
I am an environmental archaeologist, specializing in charcoal analysis, computational and analytical proxy modeling, and quantitative methods to understand the dynamic relationship between fire, humans, and long-term environmental change. I work primarily in the Western United States and the Western Mediterranean. I am passionate about our public lands and ensuring that everyone has access and opportunity to experience them.
Envrionmental Archaeology, Fire Ecology, GIS, Agent-based modeling, Geoarchaeology
I study he role of biologically-based motivations in the formation of socio-political phenomena using agent-based modelling techniques. In particular I look at how behaviour inhibition and activation, as well as interpersonal attitudes can shape the emergence of complex polities.
One of my research areas is agent-based modelling of land change in Brazil. I have worked with ABM in frontier areas of the Brazilian Amazon. I am also part of the team that develops TerraME, an OSS toolkit for ABM in cellular spaces.
I am broadly interested in using Agent-based Modelling, Microsimulation, Geosimulation or a hybrid of these approaches as methodology to investigate complex dynamics of systems in various domains. I am also interested in exploring the potential of simulation models as decision support and policy-informing tools.
I am a Ph.D. student studying the interactions between external regulations and social norms in natural resource management and international development. In particular, I am looking to use mixed methods research, including ethnographic research, field experiments, and agent-based computational models to explore the sustainability of market-based interventions and their possible perverse outcomes.
Displaying 10 of 186 results for "I Nikolic" clear search