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Displaying 10 of 50 results for "Mark Stoove" clear search

Marc Parenthoën Member since: Tue, Oct 09, 2018 at 07:37 AM

Liliana Perez Member since: Thu, Oct 11, 2018 at 01:15 PM Full Member

B.Eng, Geomatics, Distrital University, Colombia, MSc., Geography, UPTC, Colombia, Ph.D., Geography, Simon Fraser University, Canada

My initial training was in cadastre and geodesy (B.Eng from the Distrital University, UD, Colombia). After earning my Master’s degree in Geography (UPTC, Colombia) in 2003, I worked for the “José Benito Vives de Andreis” marine and coastal research institute (INVEMAR) and for the International Center for Tropical Agriculture (CIAT). Three years later, in 2006, I left Colombia to come to Canada, where I began a PhD in Geography with a specialization in modelling complex systems at Simon Fraser University (SFU), under the direction of Dr. Suzana Dragicevic (SAMLab). In my dissertation I examined the topic of spatial and temporal modelling of insect epidemics and their complex behaviours. After obtaining my PhD in 2011, I began postdoctoral studies at the University of British Columbia (2011) and the University of Victoria (2011-2013), where I worked on issues concerning the spatial and temporal relationships between changes in indirect indicators of biodiversity and climate change.

I am an Associate Professor in the Department of Geography at the University of Montreal. My research interests center around the incorporation of artificial intelligence and machine learning techniques into the development Agent-Based Models to solve complex socio-ecological problems in different kind of systems, such as urban, forest and wetland ecosystems.

The core of my research projects aim to learn more about spatial and temporal interactions and relationships driving changes in our world, by focusing on the multidisciplinary nature of geographical information science (GIScience) to investigate the relationships between ecological processes and resulting spatial patterns. I integrate spatial analysis and modeling approaches from geographic information science (GIScience) together with computational intelligence methods and complex systems approaches to provide insights into complex problems such as climate change, landscape ecology and forestry by explicitly representing phenomena in their geographic context.

Specialties: Agent-based modeling, GIScience, Complex socio-environmental systems, Forestry, Ecology

James Howard Member since: Fri, Feb 01, 2019 at 12:41 PM Full Member Reviewer

Ph.D., Public Policy, University of Maryland Baltimore County, M.P.A., Public Policy and Administration, University of Baltimore, B.S., Mathematics, University of Maryland

I am a scientist at the Johns Hopkins Applied Physics Laboratory. Previously, I worked for the Board of Governors of the Federal Reserve System as an internal consultant on statistical computing. I have also been a consultant to numerous government agencies, including the Securities and Exchange Commission, the Executive Office of the President, and the United States Department of Homeland Security. I am a passionate educator, teaching mathematics and statistics at the University of Maryland University College since 2010 and have taught public management at Central Michigan University, Penn State, and the University of Baltimore.

I am fortunate to play in everyone else’s backyard. My most recent published scholarship has modeled the population of Earth-orbiting satellites, analyzed the risks of flood insurance, predicted disruptive events, and sought to understand small business cybersecurity. I have written two books on my work and am currently co-editing two more.

In my spare time, I serve Howard County, Maryland, as a member of the Board of Appeals and the Watershed Stewards Academy Advisory Committee of the University of Maryland Extension. Prior volunteer experience includes providing economic advice to the Columbia Association, establishing an alumni association for the College Park Scholars Program at the University of Maryland, and serving on numerous public and private volunteer advisory boards.

Judy Mak Member since: Thu, Feb 28, 2019 at 03:39 AM

marc idelson Member since: Fri, Jul 19, 2019 at 10:30 AM Full Member

Sedar Olmez Member since: Wed, Nov 06, 2019 at 10:25 AM Full Member

MSci in Computer Science, MSc in Data Analytics and Society

Sedar is a PhD student at the University of Leeds, department of Geography. He graduated in Computer Science at King’s College London 2018. From a very early stage of his degree, he focused on artificial intelligence planning implementations on drones in a search and rescue domain, and this was his first formal attempt to study artificial intelligence. He participated in summer school at Boğaziçi University in Istanbul working on programming techniques to reduce execution time. During his final year, he concentrated on how argumentation theory with natural language processing can be used to optimise political influence. In the midst of completing his degree, he applied to Professor Alison Heppenstall’s research proposal focusing on data analytics and society, a joint endeavour with the Alan Turing Institute and the Economic and Social Research Council. From 2018 - 2023 he will be working on his PhD at the Alan Turing Institute and Leeds Institute for Data Analytics.

Sedar will be focusing on data analytics and smart cities, developing a programming library to try simulate how policies can impact a small world of autonomous intelligent agents to try deduce positive or negative impact in the long run. If the impact is positive and this is conveyed collectively taking into consideration the agent’s health, happiness and other social characteristics then the policy can be considered. Furthermore, he will work on agent based modelling to solve and provide faster solutions to economic and social elements of society, establishing applied and theoretical answers. Some other interests are:

  • Multi-agent systems
  • Intelligent agents
  • Natural language processing
  • Artificial intelligence planning
  • Machine learning
  • Neural networks
  • Genetic programming
  • Geocomputation
  • Argumentation theory
  • Smart cities

SANGHYUN PARK Member since: Tue, Dec 24, 2019 at 02:08 AM

Tevfik Emre Serifoglu Member since: Mon, Dec 30, 2019 at 09:01 AM Full Member

After completing my undergraduate education at Bilkent University (Turkey), I continued my studies at the University of Cambridge, receiving first my MPhil and then my PhD in Assyriology/Ancient Near Eastern Archaeology, funded by a Chevening Open Society Scholarship and the Board of Higher Education of Turkey. After teaching for several years at Çanakkale Onsekiz Mart University, I moved to eastern Turkey to start the Archaeology Department of Bitlis Eren University, and I was the Head of Department until the end of 2018. I have been a visiting researcher at the American Center of Oriental Research in Amman in 2011 (Mellink Fellowship), at the Oriental Institute of the University of Chicago in 2014 (Fulbright Fellowship), and at the Department of Archaeology and Ancient History of Uppsala University in 2019 (Swedish Institute Fellowship). I have also held a Newton Advanced Fellowship here at Leicester in the UK. I have previously co-directed several fieldwork projects: the Cambridge University Kilise Tepe Excavations (southern Turkey, 2009-13), the Cide Archaeological Project (survey, Black Sea coast, 2010-1), the Sirwan Regional Project (survey, northern Iraq, 2012-5), and the Lower Göksu Archaeological Salvage Survey Project (survey, southern Turkey, 2013-7). I am currently co-directing the Çadır Höyük excavations, which is a joint American, British, Canadian and Turkish archaeological excavation project conducted in north-central Turkey, and the Taşeli-Karaman Archeological Project, which was initiated in 2018 as a continuation of the Lower Göksu Archaeological Salvage Survey Project, to study the Göksu River Basin in its wider geographical context in the hope of better understanding its role as a network hub connecting the eastern Mediterranean world to the central Anatolian Plateau.

Elizabeth Hunter Member since: Thu, Apr 09, 2020 at 07:07 PM Full Member

BA, Mathematics, BA, Economics, Msc, Mathematical Modelling

Elizabeth Hunter received a BA in Mathematics and Economics at Boston University in 2011. She worked as a health economics researcher at Research Triangle Institute for three years where she worked on a team that developed the risk adjustment models for the US health insurance exchanges. She attended the University of Limerick and received an MSc in Mathematical Modelling in 2015. She completed a PhD at Technological University Dublin. Her PhD research focuses on agent-based simulations for infectious disease epidemiology with the goal of creating an agent-based simulation of Ireland. Elizabeth is currently working on the Precise4Q as a Postdoctoral researcher working on predictive modelling in stroke.

Steve Peck Member since: Fri, Apr 24, 2020 at 03:31 PM Full Member Reviewer

Biographical Sketch

(a) Professional Preparation

Brigham Young University Statistics & Computer Science B.S. 1986
University of North Carolina Chapel Hill Biostatistics M.S. 1988
North Carolina State University Biomathematics & Entomology Ph.D. 1997

(b) Appointments

Associate Professor 2006-current: Brigham Young University Department of Biology
Assistant Professor 2000-2006: Brigham Young University Department of Integrative Biology
Research Scientist 1997-1999: Agriculture Research Service-USDA Pacific Basin Agricultural Research Center.

(c) Publications

i. Five most relevant publications

Ahmadou H. Dicko, Renaud Lancelot, Momar Talla Seck, Laure Guerrini, Baba Sall, Mbargou Low, Marc J.B. Vreysen, Thierry Lefrançois, Fonta Williams, Steven L. Peck, and Jérémy Bouyer. 2014. Using species distribution models to optimize vector control: the tsetse eradication campaign in Senegal. Proceedings of the National Academy of Science. 11 (28) : 10149-10154
Peck, S. L. 2014. Perspectives on why digital ecologies matter: Combining population genetics and ecologically informed agent-based models with GIS for managing dipteran livestock pests. Acta Tropica. 138S (2014) S22–S25
Peck, S. L. and Jérémy Bouyer. 2012. Mathematical modeling, spatial complexity, and critical decisions in tsetse control. Journal of Economic Entomology 105(5): 1477—1486.
Peck, S. L. 2012. Networks of habitat patches in tsetse fly control: implications of metapopulation structure on assessing local extinction probabilities. Ecological Modelling 246: 99–102.
Peck, S. L. 2012. Agent-based models as fictive instantiations of ecological processes.” Philosophy & Theory in Biology. Vol. 4.e303 (2012): 12

ii. Five other publications of note

Peck, S. L. 2008. The Hermeneutics of Ecological Simulation. Biology and Philosophy 23:383-402.
K.M. Froerer, S.L. Peck, G.T. McQuate, R.I. Vargas, E.B. Jang, and D.O. McInnis. 2010. Long distance movement of Bactrocera dorsalis (Diptera: Tephritidae) in Puna, Hawaii: How far can they go? American Entomologist 56(2): 88-94
Peck, S. L. 2004. Simulation as experiment: a philosophical reassessment for biological modeling. Trends in Ecology and Evolution 19 (10): 530 534
Storer N.P., S. L. Peck, F. Gould, J. W. Van Duyn and G. G. Kennedy. 2003 Sensitivity analysis of a spatially-explicit stochastic simulation model of the evolution of resistance in Helicoverpa zea (Lepidoptera: Noctuidae) to Bt transgenic corn and cotton. Economic Entomology. 96(1): 173-187
Peck, S. L., F. Gould, and S. Ellner. 1999. The spread of resistance in spatially extended systems of transgenic cotton: Implications for the management of Heliothis virescens (Lepidoptera: Noctuidae). Economic Entomology 92:1-16.

Displaying 10 of 50 results for "Mark Stoove" clear search

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