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Eric Hammer Member since: Wed, Sep 14, 2016 at 06:07 PM

BS Logistics Pennsylvania State University, MS Economics George Mason University, PhD Candidate Economics George Mason University

My academic interests involve public choice and the development of social norms for cooperation in the marketplace and the behavior of voting blocks. Recent work looks at the emergence of property rights “norms” among zero intelligence agents in an evolutionary context, and the dynamics of legislative party creation in an environment of stochastically voting voters.

Sae Schatz Member since: Tue, Nov 04, 2014 at 12:11 AM

Modeling and Simulation, Ph.D., Modeling and Simulation, M.S., Computer Information Technology, B.S.

Sae Schatz, Ph.D., is an applied human–systems researcher, professional facilitator, and cognitive scientist. Her work focuses on human–systems integration (HSI), with an emphasis on human cognition and learning, instructional technologies, adaptive systems, human performance assessment, and modeling and simulation (M&S). Frequently, her work seeks to enhance individual’s higher-order cognitive skills (i.e., the mental, emotional, and relational skills associated with “cognitive readiness”).

Eduardo César Member since: Fri, Nov 08, 2024 at 08:14 AM Full Member Reviewer

Ph.D., Computer Science, Universitat Autònoma de Barcelona, Undergraduate, Computer Engineering, Universidad Simón Bolívar

As of my incorporation into the Department of Computer Architecture and Operating Systems of the UAB as a postgraduate student, it is possible to divide my scientific-technical career into the following stages:

Simulation of Parallel Applications (1992-99): Focused on the design and development of simulators of parallel applications. This research main objective was the definition of abstractions for parallel programs, based on characterizing tasks and their dependences. Two main abstractions were developed, at first a simpler one, which was easier to parametrize, and, next, a more complex an accurate one. Using these characterizations, several simulation tools were programmed and used in the context of national and European projects. As part of my Master’s thesis, I was involved in the design and development of some of these simulation applications.

National projects: 4, European: 2

International conferences: 3, National: 1, Journal papers: 3

Security in Distributed Systems (2007-12): Focused on the design and development of the FPVA (First Principles Vulnerability Assessment) methodology for the evaluation of vulnerabilities in Grid applications. This methodology clearly defined a set of steps for the assessment of Grid applications vulnerabilities, most of these steps could be automatized or at least supported by specific tools. Jointly with other professors of our group and from the University of Wisconsin, I was involved in the original definition and application of this methodology.

International projects: 2

Master Thesis: 1, Ph.D. Thesis: 1

International conferences: 2, National: 1, Journal papers: 2

Parallel Application Modeling (1999-present): This is my main line of research, aimed at defining high-level performance models for parallel applications. Initially, models were defined for MPI applications with a master-worker and pipeline structure, but later this line has been expanded with the definition of models for memory-intensive OpenMP applications, composed (mix of several structures) applications, applications based on mathematical libraries, distributed data-intensive applications and, finally, applications based on the simulation of agents (ABS) with SPMD structure.

As a result of the work on modeling the performance of ABS parallel systems, we have opened a new line for the definition and implementation of a benchmark for assessing the performance of the parallel simulators generated by well-known platforms, such as FLAME, Repast-HPC or D-Mason. In addition, the knowledge we have gained on this topic has opened new ways of collaboration for optimizing real parallel ABS in the health sciences area (tumor growth and infection spread).

National projects: 12, European: 1

International conferences: 17, National: 4, Journal papers: 11

International Presentations: 4

Parallel Applications Tuning Tools (2010-present): Focused on the design and development of tools for automatic tuning and, in some cases, also dynamic tuning of parallel applications. These tools allow the integration of performance models in the form of external components provided by the analyst. For this reason, this research line is tightly coupled with the Parallel Application Modeling one. The two main tools developed totally or partially by our group are Monitoring Analysis and Tuning Environment-MATE (and its highly scalable evolution ELASTIC) and Periscope Tuning Framework-PTF.

National projects: 2, European: 1

International conferences: 11, Journal papers: 2

Tools: MATE, ELASTIC, PTF

International Presentations: 5

Soren Desmarais Member since: Wed, Apr 15, 2026 at 09:54 AM Full Member

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Chloe Atwater Member since: Mon, Aug 25, 2014 at 02:59 AM

B.S. in Evolutionary Anthropology, UC Davis, PhD Student in Archaeology, ASU

Applying agent-based models to archaeological data, using modern ethnoarchaeological data as an analog for behavior.

Bernardo Furtado Member since: Mon, Jan 27, 2014 at 10:57 AM Full Member Reviewer

PhD Geosciences/Economics, MsC Geography, BA Architecture

Tenured researcher @ government think-tank (IPEA) and CNPq (productivity grant - since 2014), complex modeler interested, data fan, transitional Python user, PhD. Background in urban analysis, economics, geography. From twitter.com/furtadobb

Agent-based modeling, urban policy, urban economics. Metropolis and municipalities analyses.

Lily Johnson Member since: Fri, Mar 06, 2026 at 07:04 AM Full Member

I’m Lily Johnson, an academic assignment helper with an MBA and PhD, dedicated to supporting students who struggle with complex university tasks. With over five years of experience, I specialize in guiding students through research, writing, and structuring high-quality academic assignments. My goal is to simplify difficult concepts and help students meet academic standards with confidence. I’m passionate about providing reliable guidance and practical solutions that help students achieve better results in their studies.

linkjobai ai Member since: Mon, Mar 23, 2026 at 07:21 AM Full Member

Linkjob.ai is an AI interview copilot that helps job seekers practice smarter, answer better, and feel more confident in interviews.

www.linkjob.ai is an AI-powered interview assistant designed to help job seekers prepare for and navigate interviews more effectively. It offers AI-driven mock interviews, smart question analysis, and guided answer suggestions for both technical and behavioral interviews. Ideal for developers, students, and professionals, Linkjob.ai helps you organize your thoughts, improve your responses, and approach interviews with greater clarity and confidence.

Max MAXHART Member since: Tue, Feb 03, 2026 at 09:12 AM Full Member

I’m max hart, a seasoned academic consultant specializing in Assignments & dissertation Help at New Assignment Help UK. Struggling to complete coding tasks on time can be stressful, especially when Python concepts start getting complex. From basic syntax to advanced topics like data structures, machine learning, and automation, expert guidance can make a real difference. Many students now rely on Help With Python Assignment to understand logic clearly and submit well-structured solutions without errors. With professional Assignment Help uk, learners receive personalised support, plagiarism-free work, and timely delivery that aligns with university standards. This kind of assistance not only improves grades but also builds confidence in programming skills, making future projects and exams much easier to handle.

Leigh Tesfatsion Member since: Wed, Aug 28, 2013 at 12:50 AM

Ph.D., Economics, University of Minnesota, Mpls., B.A., History Major, Carleton College, Northfield, MN

Leigh Tesfatsion received the Ph.D. degree in economics from the University of Minnesota, Mpls., in 1975, with a minor in mathematics. She is Research Professor of Economics, Professor Emerita of Economics, and Courtesy Research Professor of Electrical & Computer Engineering, all at Iowa State University. Her principal current research areas are electric power market design and the development of Agent-based Computational Economics (ACE) platforms for the performance testing of these designs. She is the recipient of the 2020 David A. Kendrick Distinguished Service Award from the Society for Computational Economics (SCE) and an IEEE Senior Member. She has served as guest editor and associate editor for a number of journals, including the IEEE Transactions on Power Systems, the IEEE Transactions on Evolutionary Computation, the Journal of Energy Markets, the Journal of Economic Dynamics and Control, the Journal of Public Economic Theory, and Computational Economics. Online Short Bio

Agent-based computational economics (ACE); development and use of ACE test beds for the study of electric power market operations; development and use of ACE test beds for the study of water, energy, and climate change

Displaying 10 of 339 results for "Ibo van de Poel" clear search

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