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Displaying 10 of 545 results for "Ian M Hamilton" clear search

Scott Heckbert Member since: Fri, Dec 04, 2009 at 11:18 AM

Scott Heckbert (PhD 2010) is the Principal Environmental Scientist at the Alberta Energy Regulator, and an Adjunct Professor at University of Alberta and University of Lethbridge, Canada. Scott’s area of specialization is combining agent-based models, GIS, and 3D visualization. These technologies are used as digital laboratories where scientists, decision makers, and stakeholders can interact for improved understanding of complex social-environmental systems.

Environmental impact, hydrology, land use change, digital twinning, experimental economics, GIS, 3D, agent-based models.

Muhammad Khurram Ali Member since: Sun, Jan 18, 2015 at 11:46 AM Full Member

Bachelor of Engineering in Mechanical Engineering, Master of Engineering in Industrial and Manufacturing Enginnering

Industrial Engineering, Multi-criteria Decision Making, Optimization Techniques, Global/International Facility Location, Agent-based Modeling

J Dubbelboer Member since: Wed, Apr 15, 2015 at 09:09 AM

Master Systems Engineering, Policy Analysis and Management

Doing research on how the flood insurance system in the UK should be structured in the future to make it resilient for environmental change.

Wasswa Shafik Member since: Thu, Nov 17, 2022 at 03:42 PM

PhD Computer Science

He is a member of IEEE, a computer scientist, an Information Technologist, and a Research Lab Head at the Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. My research broadly integrates and focuses on developing principled computationally and statistically efficient models and algorithms for various machine learning problems in Smart Agriculture, Ecological Informatics, Computer Vision, Applied AI, Cybersecurity and Privacy, and Smart Cities. I attained a Bachelor in Information Technology at the Faculty of Science & Computing, Ndejje University, Kampala, Uganda; a Master in Information Technology Engineering (Computer and Communication Networks); and PhD in Computer Science Universiti Brunei Darussalam, Brunei. He has received additional training from, among others, the National Institutes of Health, US Department of Health and Human Services, and the Bloomberg School of Public Health, USA. Hundreds of scholarly publications, including those in prestigious peer-reviewed journal articles, numerous IEEE International, non-IEEE Conference proceedings, book chapters, and books have been published. Reviewer/editorial support of over twelve (Scopus, Compendex (Elsevier Engineering Index), and WoS International Journals, including Expert Systems With Applications, Scientific Reports and Computers and Electronics in Agriculture. I served in several capacities, including being departmental support for Mathematics for Data Science, Advanced Topics in Computing, and Advanced Algorithms. Prior to this, I served as a community data officer at Pace-Uganda, a research associate at TechnoServe, a research assistant at PSI-Uganda, a research lead at the Socio-economic Data Centre (SEDC-Uganda) and ag. managing director at Asmaah Charity Organisation.

Computer Vision, Artificial Intelligence, Security and Privacy, Smart Agriculture / Digital Agriculture, Health Computing, Digital Image Processing,
Social Networks Analysis, Sustainable Computing, Ecological Informatics, Smart Computing

Phil Riris Member since: Wed, May 01, 2013 at 01:32 AM Full Member

BA Archaeology, MA Archaeology, PhD Archaeology (in progress)

Marcelo De Alencar Irineu Member since: Wed, Oct 07, 2015 at 07:58 PM

Master in Technology

I haven’t research now.

Nathaniel Henry Member since: Tue, Oct 11, 2016 at 05:05 AM

Bachelor of Science in Geographic Information Systems

Xiaoyi Yuan Member since: Mon, Jan 30, 2017 at 09:12 PM

PhD in Computational Social Science

S.R. Aurora (also known as Mai P. Trinh) Member since: Wed, Apr 20, 2022 at 05:23 PM Full Member

Ph.D., Organizational Behavior, Case Western Reserve University

S.R. Aurora, also known as Mai P. Trinh, is an Assistant Professor of Management at The University of Texas Rio Grande Valley. Her interdisciplinary work intersects leadership, complex systems science, education, technology, and inclusion. Her research harnesses technology to cultivate future leaders and helps people thrive in our volatile, uncertain, complex, and ambiguous (VUCA) high-tech world, aligning with four United Nations’ sustainable development goals: Quality education (#4), Gender equality (#5), Decent work and economic growth (#8), and Reduced inequalities (#10). She has published in top-tiered peer-reviewed journals such as The Leadership Quarterly and The Academy of Management Learning and Education and received multiple national and international awards for her research, teaching, and mentoring. Dr. Aurora earned her doctoral degree in Organizational Behavior from the Weatherhead School of Management at Case Western Reserve University in 2016.

Leader development, leading complex systems, agent-based modeling, experiential learning, innovations in online education

Talal Alsulaiman Member since: Fri, Feb 27, 2015 at 04:10 AM

Bachelor of Science in Systems Engineering, Master of Science in Industrial Engineering, Master of Science in Financial Engineering

In this paper, we explore the dynamic of stock prices over time by developing an agent-based market. The developed artificial market comprises of heterogeneous agents occupied with various behaviors and trading strategies. To be specific, the agents in the market may expose to overconfidence, conservatism or loss aversion biases. Additionally, they may employ fundamental, technical, adaptive (neural network) strategies or simply being arbitrary agents (zero intelligence agents). The market has property of direct interaction. The environment takes the form of network structure, namely, it takes the manifestation of scale-free network. The information will flow between the agents through the linkages that connect them. Furthermore, the tax imposed by the regulator is investigated. The model is subjected to goodness of fit to the empirical observations of the S\&P500. The fitting of the model is refined by calibrating the model parameters through heuristic approach, particularly, scatter search. Conclusively, the parameters are validated against normality, absence of correlations, volatility cluster and leverage effect using statistical tests.

Displaying 10 of 545 results for "Ian M Hamilton" clear search

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