Assistant Professor, Mathematics & Statistics
Ph.D. (the University of Groningen, the Netherlands),
Postdoc (University of Alberta, Canada),
Office: Mackenzie Chown J-Block
pramazi@brocku.ca
Systems and Control, Decision-making, Causality, Machine Learning, Bayesian Networks
Recent Publications
JOURNALS
[42] Alipour, F.∗ , Dokshin, F., Maleki, Z., Song, Y., and Ramazi, R. “People diffuse information if enough but not too many others do so.” PNAS Nexus, accepted.
[41] Chakraborty, A.∗ , Gao, S., Miry, R.∗ , Ramazi, P., Greiner, R., Lewis, A., Wang, H. “An early warning indicator trained on stochastic disease-spreading models with different noises.” Journal of Royal Society Interface, accepted.
[40] Chakraborty, A.∗ , Wang, H., and Ramazi, P. “From policy to prediction: Assessing forecasting accuracy in an integrated framework with machine learning and disease models.”Journal of Computational Biology, accepted.
[39] Rajaee, M.∗ and Ramazi, P. “Mixed populations of coordinators, anticoordinators, and imitators: stochastic stability.” IEEE Transactions on Automatic Control, accepted.
[38] Sakhaei, N.∗ , Maleki, Z., and Ramazi, P. “Equilibrium analysis and control of coordinating decision-making populations.” IEEE Transactions on Automatic Control, accepted.
[37] Alamiyan-Harandi, F.∗ , Ramazi, P. “Environmental-impact based multi-agent reinforcement learning.” Applied Sciences, 2024.
[36] Aghaeeyan, A.∗ , Lewis, M., and Ramazi, P. “The majority of Canadians likely behaved as myopic rationalists rather than success-based learners when deciding on their first dose of COVID-19 vaccination.” Frontiers in Public Health, 2024.
[35] Lekamalage, A.∗ , Aghaeeyan A.∗ , and Ramazi, P. “Extending Identifiability Results from Continuous to Discrete-Space Systems.” IEEE Control System Letters, 2024.
[34] Aghaeeyan, A.∗ , Ramazi, P. and Lewis, M. “Revealing decision-making strategies of Americans in taking COVID-19 vaccination.” Bulletin of Mathematical Biology, 2024.
[33] Ramazi, P., Cao, M. and J. M. A. Scherpen. “Tightening Poincare-Bendixson theorem after counting separately the fixed points on the boundary and interior of a planar region.”Electronic Journal of Qualitative Theory of Differential Equations, 2024.
[32] Le, H.∗ , Aghaeeyan, A.∗ , Ramazi, P. “Heterogeneous Mixed Populations of Conformists, Nonconformists, and Imitators.” IEEE Transactions on Automatic Control, 2024.
[31] Roohi, Mohammad Ali.∗ , Nazif, S., and Ramazi, P. “Tackling data challenges in forecasting effluent characteristics of wastewater treatment plants.” Journal of Environmental Management, 2024.
[30] Heggeruda, C., Xua, J., Wang, H., Lewis, M., Zurawelld, R., Charlie, L., Vinebrookeb, R., and Ramazi, P. “Predicting imminent cyanobacterial blooms in lakes using incomplete timely data.” Water Resources Research, 2024.
[29] Fu., Y.∗ , and Ramazi, P. “Evolutionary matrix-game dynamics under imitation in heterogeneous populations.” Automatica, 2024.
[28] Ramazi, P., Zhang, F., and Cao, M. “Cooperative Concurrent Targeting for Planar Arrays of Point Sources.” Automatica, 2024.
[27] Riehl, J., Ramazi, P., and Cao, M. “Controlling Networks of Imitative Agents.” IEEE Transactions on Network Science and Engineering, 2024.
[26] Juping, J., Dzevela Kong, J., Ramazi, P., Wang, H., Wang, L., and Watmough, J. “Climate-dependent effectiveness of nonpharmaceutical interventions on COVID-19 mitigation.” Mathematical Biosciences, 2023.
[25] Hasheminejad, N.∗ , and Ramazi, P. “Equilibration of coordinating imitation and best-response dynamics.” IEEE Control System Letters, 2023.
[24] Ramazi, P., and Roohi, M∗ . “Characterizing oscillations in heterogeneous populations of coordinators and anticoordinators.” Automatica, 2023.
[23] Fisher, S., Ramazi, P., Simmons, S., Poesch, M., Lewis, M. A. “Boosting propagule transport models with individual-specific data from mobile apps.” Journal of Applied Ecology, 2023.
[22] Wang, X., Wang, H., Ramazi, P., Nah, K., and Lewis, M. “From policy to prediction: Forecasting COVID-19 dynamics under imperfect vaccination.” Bulletin of Mathematical Biology, 2022.
[21] Wang, X., Wang, H., Ramazi, P., Nah, K., and Lewis, M. “A hypothesis-free bridging of disease dynamics and non-pharmaceutical policies.” Bulletin of Mathematical Biology, 2022.
[20] Ramazi, P., Riehl, J. and Cao, M. “The Lower Convergence Tendency of Imitators Compared to Best Responders.” Automatica, 2022.
[19] Haratian, A., Fazelinia H., Maleki, Z., Ramazi, P., Wang, H., Lewis M. A., Greiner, R., Wishart D. “Dataset of COVID-19 outbreak and potential predictive features in the USA.” Data in Brief, 2021. Doi: https://doi.org/10.1101/2020.10.16.20214098.
[18] Ramazi, P., Fisher, S., Alexander, J., Clayton, J., Andrew, P., Greiner, R., and Lewis, M. A. “M. cerebralis spread and establishment: A graphical synthesis.” Canadian Journal of Fisheries and Aquatic Sciences, 2021.
[17] Ramazi, P., Haratian, A., Meghdadi, M., Mari Oriyad, A., Lewis M. A., Maleki, Z., Vega, R., Wang, H., Wishart, D. S., Greiner, R. “Accurate long-range forecasting of COVID-19 mortality in the USA” Scientific Reports, 2021.
[16] Govart, A., Ramazi, P. and Cao, M. “Rationality, imitation and rational imitation in spatial public goods games. IEEE Transactions on Control of Network Systems, 2021.
[15] Ramazi, P., Kunegel-Lion, M., Greiner, R. and Lewis, M. A. “Exploiting the full potential of Bayesian networks in predictive ecology.” Methods in Ecology and Evolution, 2020.
[14] Le, H., and Ramazi, P. “Heterogeneous mixed populations of best-responders and imitators: equilibrium convergence and stability.” IEEE Transactions on Automatic Control, (accepted 2020) to appear Aug 2021.
[13] Ramazi, P., Kunegel-Lion, M., Greiner, R. and Lewis, M. A. “Predicting infestations using machine-learning: A mountain pine beetle case study.” Ecology and Evolution, (accepted 2020).
[12] Ramazi, P. and Cao, M. “Convergence of linear threshold decision-making dynamics in finite heterogeneous populations.” Automatica, 2020.
[11] Ramazi, P. and Cao, M. “Global convergence for replicator dynamics of repeated snowdrift games.” IEEE Transactions on Automatic Control, (accepted 2020) to appear Jan 2021.
[10] Riehl, J., Ramazi, P. and Cao, M. “Incentive-Based control of asynchronous best-response dynamics on binary decision networks.” IEEE Transactions on Control of Network Systems, 2018.
[9] Riehl, J., Ramazi, P. and Cao, M. “A survey on the analysis and control of evolutionary matrix games.” Annual Reviews in Control, 2018.
[8] Ramazi, P. Riehl, J. and Cao, M. “Homophily, heterophily and the diversity of messages in decision-making social networks.” Royal Society Open Science, 2018.
[7] Ramazi, P. and Cao, M. “Asynchronous decision-making dynamics under best-response update rule in finite heterogeneous populations.” IEEE Transactions on Automatic Control, 2017.
[6] Ramazi, P., Jardon, H. and Cao, M. “Limit sets within curves where trajectories converge to.” Applied Mathematics Letters, 2017.
[5] Ramazi, P., Riehl, J. and Cao, M. “Networks of conforming and non-conforming individuals tend to reach satisfactory decisions.” Proceedings of National Academy of Sciences (PNAS), 2016.
[4] Ramazi, P., Cao, M. and Weissing F.J. “Evolutionary dynamics of homophily and heterophily.” Scientific Reports, 2016.
[3] Ramazi, P., Hessel, J. and Cao, M. “How feeling betrayed affects cooperation.” PLoS ONE, 2015.
[2] Ramazi, P., Hjalmarsson, H. and Martensson, J. “Variance analysis of identified linear MISO models having spatially correlated inputs, with application to parallel Hammerstein models.” Automatica, 2014.
[1] Ramazi, P., Shoeiby, B. and Abbasian, T. “The extension of Sarrus’ Rule for finding the determinant of a 4×4 matrix.” The American Mathematical Monthly, 2012.
CONFERENCES
[16] Aghaeeyan, A.∗ , and Ramazi, P. “From Discrete to Continuous Imitation Dynamics: Discrete Fluctuations Do not Scale with Population Size” In Proc. of the 2024 Conference on Decision and Control (CDC), Italy, Dec. 2024.
[15] Sarathchandra, A.∗ , and Ramazi, P. “Threshold Identifiability of Linear Threshold and Anti-Threshold Dynamics.” In Proc. of the 2024 Conference on Decision and Control (CDC), Italy, Dec. 2024.
[14] Aghaeeyan, A.∗ , and Ramazi, P. “From Discrete to Continuous Best-Response Dynamics: Discrete Fluctuations Do not Scale with the Population Size.” In Proc. of the 2024 American Control Conference (ACC), Toronto, Canada, Jul. 2024.
[13] Le, H.∗ , and Ramazi, P. “Heterogeneous mixed populations of coordinators, anticoor- dinators and imitators: equilibrium analysis.” In Proc. of the 62nd Conference on Decision and Control (CDC23), Singapore, Dec. 2023.
[12] Ramazi, P., and Roohi, M. “Characterizing oscillations in heterogeneous populations of coordinators and anticoordinators.” In Proc. of the 61st Conference on Decision and Control (CDC22), Cancun, Mexico, Dec. 2022.
[11] Saeedi, N.∗ , Richard D.∗ , and Ramazi, P. “Evolutionary dynamics of mixed rings of coordinators and anticoordinators.” In Proc. of the 61st Conference on Decision and Control (CDC22), Cancun, Mexico, Dec. 2022.
[10] Jamshidian, M.∗ , Maleki Z., and Ramazi, P. “The Neglected Bi-Threshold Aspect of Human Decision-Making: Convergence and Stability Analysis.” In Proc. of the 60th Conference on Decision and Control (CDC21), Texas, USA, Dec. 2021.
[9] Sakhaei, N.∗ , Maleki, Z., and Ramazi, P. “Equilibration Analysis and Control of Coordinating Decision-Making Populations.” In Proc. of the 60th Conference on Decision and Control (CDC21), Texas, USA, Dec. 2021.
[8] Roohi, M. H., Ramazi, P., Chen, T. “Towards accurate root-alarm identification: The causal Bayesian network approach.” 5th Conference on Control and Fault-Tolerant Systems (SysTol21), France, Sep. 2021.
[7] Le, H. and Ramazi, P. “Heterogeneous mixed populations of best-responders and imitators: Equilibrium convergence.” In Proc. of the 58th Conference on Decision and Control (CDC19), Nice, France, Dec. 2019.
[6] Fu, Y. and Ramazi, P. “Asynchronous decision-making dynamics under imitation update rule in heterogeneous populations.” In Proc. of the 58th Conference on Decision and Control (CDC19), Nice, France, Dec. 2019.
[5] Govaert, A., Ramazi, P. and Cao, M. “Convergence of imitation dynamics for public goods games on networks.” In Proc. of the 56th Conference on Decision and Control (CDC17), Melbourne, Australia, Dec. 2017.
[4] Riehl, J., Ramazi, P. and Cao, M. “Controlling networks of imitative agents.” In Proc. of the 56th Conference on Decision and Control (CDC17), Melbourne, Australia, Dec. 2017.
[3] Ramazi, P. and Cao, M. “Analysis and control of strategic interactions in finite heterogeneous populations under best-response update rule.” In Proc. of the 54th Conference on Decision and Control (CDC15), Osaka, Japan, Dec. 2015.
[2] Ramazi, P. and Cao, M. “Stability analysis for replicator dynamics of evolutionary snowdrift games.” In Proc. of the 53rd Conference on Decision and Control (CDC14), Los Angeles, USA, Dec. 2014.
[1] Zhang, F., Ramazi, P. and Cao, M. “Distributed concurrent targeting for linear arrays of point sources.” In Proc. of the 19th IFAC World Congress, Cape Town, South Africa, Aug. 2014.
- MATH 1P66 (Mathematical Reasoning)
- MATH 1P97 (Calculus With Applications)
- MATH 2P08 (Ordinary differential equations)
- MATH 2P94 (Introduction to Network Analysis)
- MATH 5P35 (Graph Theory)
- STAT 1P50 (Introduction to Data Science)
- STAT 4P89/5P89 (Bayesian & Causal Bayesian Networks)