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I'm a computer science researcher and educator working in the fields of complex systems, artificial intelligence (agent based modeling, machine learning) and complex networks. In 2011, I received a PhD in computer science from Portland State University in artificial intelligence and complex systems. With my adviser Dr. Melanie Mitchell, I studied how a model of complex system processes information in order to solve a given problem. I design and implement data-science, models, machine learning and artificial intelligence tools to analyze and solve problems in complex adaptive systems.
Research Interests: complexity theory, emergence, machine learning, data science, agent based modeling, coupled socio-ecological systems
Current research projects:
Coupled socio-ecological systems research: The goal is to understand the adaptive capacity of Arctic communities impacted by climate change.
Smart Trash: Use Unmanned Areal Vehicles for aerial surveillance and machine learning for image processing to understand the solid waste composition at the transfer station and the landfill behavior.
Theory of Computation in Agent Based Models: Designed a new framework to evaluate the nature of agents-to-agent and agent-to-landscape interactions for structural validation, sensitivity analysis, and calibration of agent based models.
Brain-Computer-Interface: A collection of projects that aims to answer questions such as How good is your brain as a password? or Why do we disagree with statements we don't understand?
Smart Microgrids: Using Machine Learning to forecast the renewable power generation and the community demand to offset the diesel consumption in Alaska's microgrids.
Sensor Networks: Build new sensor networks that are distributed, decentralized, locally connected, and asynchronous for environmental sensing in the remote regions without power or communication networks.
... for more info, please see my research page
Past News (selected/brief):
2020:
MS Thesis Co-Advisor: Cameron Wilson Per Capita Water and Fixture Use in Rural Alaska, University of Alaska Anchorage. Department of Civil Engineering. MS Civil Engineering.
Kliskey, A., Alessa, L., Griffith, D. L., Olsen, S., Williams, P., Matsaw, S., Cenek, M., Gosz, J., Dengler, S. Transforming sustainability science for practice: a social–ecological systems framework for training sustainability professionals. Sustainability Science, 16, 283–294 (2021). ISSN 1862-4065. DOI: https://doi.org/10.1007/s11625-020-00846-2
2019:
Ligmann-Zielinska, A., Siebers, P., Maglioccia, N., Parker, D., Grimm, V., Jing Du, E., Cenek, M., Radchuk, V., Arbab, N., Li, S., Berger, U., Paudel, R., Robinson, D.T., Jankowski, P., An, L.. ‘One Size Does Not Fit All’: A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models. Journal of Artificial Societies and Social Simulation. 23 (1) 6. Submitted: 4/17/2019, Accepted: 24/11/2019, Published: 31/1/2020. DOI: 10.18564/jasss.4201 or http://jasss.soc.surrey.ac.uk/23/1/6.html
2018:
11/6-11/8 ICAN UG researcher Cory Shaeffer will present at University of Montana's NSF meeting on Machine Learning approach to evolving caribou agents
11/10-11/11 ICAN UG researcher Henri Morgan will present a poster at the 26th Annual Murdock College Science Research Conference on his work on Evolutionary Agent Based Model of Alaska's subsistence hunters
09/17-09/21
ISEM 2017, Jeju Korea
Presenting work on GOBS
Presenting work on ABM of subsistence harvest in Arctic
09/18-09/21
Max Franklin presenting at Oceans17 work on scenarios and Kenai Fisheries
