- AI in healthcare/education/finance/supply chain
- Deep learning optimization
Masoud Ataei, Shengyuan Chen, Zijiang Yang, M. Reza Peyghami. Theory and applications of financial chaos index. Physica A: Statistical Mechanics and its Applications, Volume 580, 2021, 126160, ISSN 0378-4371
Song Xu, Shengyuan Chen, Wei Wang. Energy-based Output Regulation for Stochastic Port-Hamiltonian Systems. International Journal of Robust and Nonlinear Control. 31(5), 1720-1734, 2021.
Ali Asgary, Svetozar Zarko Valtchev, Michael Chen, Mahdi M. Najafabadi, and Jianhong Wu, Artificial Intelligence Model of Drive-Through Vaccination Simulation, International Journal of Environmental Research and Public Health. 2021 Jan; 18(1): 268
Kyeongah Nah, Shengyuan Chen, Y. Xiao, B. Tang, N. L. Bragazzi, J. M. Heernan, A. Asgary, N. H. Ogden, J. Wu, Scenario tree and adaptive decision making on optimal type and timing for intervention and social-economic activity changes to manage the COVID-19 pandemic, European Journal of Pure And Applied Mathematics, Vol. 13, No. 3, 710-729, 2020.
Yousef Akhavan, Shengyua Chen, Dong Liang. Second Order in Time and Space Corrected Explicit-Implicit Domain Decomposition Scheme for Convection-Diffusion Equations, Journal of Computational and Applied Mathematics, Vol. 357, 38-55, 2019.
Masoud Ataei, Shengyuan Chen, Reza Peyghami. Time homogeneous Top-K Ranking Using Tensor Decomposition, Optimization Method and Software, published, 2019.
Sajad Fathi-Hafshejani, Hossein Mansouri, M. Reza Peyghami, Shengyuan Chen. Primal-dual interior-point method for linear optimization based on a kernel function with trigonometric growth term, Optimization, 67:10, 1605-1630, 2018.
M. Reza Peyghami, Kevin Yang, Shengyuan Chen, Zijiang Yang, Masoud Ataei. Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization. Canadian AI 2018, LNAI 10832, 2018.
S. Fathi-Hafshejani, Alireza Fakharzadeh Jahromi, Mohammad Reza Peyghami, Shengyuan Chen: Complexity of Interior Point Methods for a Class of Linear Complementarity Problems Using a Kernel Function with Trigonometric Growth Term. J. Optimization Theory and Applications, 178(3): 935-949, 2018.
M. Reza Peyghami , S. Fathi-Hafshejani , Shengyuan Chen. A primal-dual interior-point method for semidefinite optimization based on a class of trigonometric barrier functions. OR Letters, 44(3):319-323, 2016.
M. Zhu, S. Chen, M. Christal. Modeling the impacts of uncertain carbon tax policy on maritime fleet mix strategy and carbon mitigation. Transport, 33(3), 707-717, 2016.
Z. Danling, H. Xi, Shengyuan Chen, and W. Jianhong. The Diffusion of Online Content Based On SEIR Model. Journal of Biomathematics, issue 4, 2016.
Shengyuan Chen, S. Mehrotra, D. Papp. Scenario Generation for Stochastic Optimization Problems via the Sparse Grid Method. Computational Optimization and Applications, 62(3):669-692, 2015.
Fei Yang and Shengyuan Chen. Deep Cutting Plane Inequalities for Stochastic Non-Preemptive Single Machine Scheduling Problem. American Journal of Operations Research, 5:69-76. doi: 10.4236/ajor.2015.52006, 2015.
Y. Akhavan, Shengyuan Chen and D. Liang. Global Optimization of Total Power Generated from Wind Farm, Proceeding of 2014 International Conference on Power System Technology, 2945-2950, 2014.
Shengyuan Chen, X. Qiu, L. Zhang, F. Yang, P. Blanchard. Method Development Estimating Ambient Oxidized Mercury Concentration from Monitored Mercury Wet Deposition. Atmospheric Chemistry and Physics, 13:11287-11293, 2013.
Shengyuan Chen and X. Wang. A Derivative-free Global Optimization Algorithm by Sparse Grid Integration. American Journal of Computational Mathematics, 3(1):16-26, 2013. DOI: 10.4236/ajcm.2013.31003, 2013.
Shengyuan Chen and X. Wang. Approximate Risk Analysis using Numerical Integration On Sparse Grids. Journal of Mathematical and Computational Science,3(4):929-944, 2013.
Shengyuan Chen and S. Mehrotra. Self-concordance and Decomposition Based Interior Point Methods for Two-stage Stochastic Convex Optimization Problem. SIAM Journal of Optimization, 4(21):1667-1687, 2011.
Shengyuan Chen and M. Zhao. Optimal Thermal Generator Portfolio in a Day-ahead Market under Uncertain Carbon Tax Policy. American Journal of Operations Research, 1(4):268-276, 2011.
- PI, IRAP Project "Dynamic Routing Algorithms in Building Management"
- PI, Co-PI Professor Hongmei Zhu, Mitacs Project "Optimization of Savings and Retirement for Canadians"
- PI, Co-PI professor Hongmei Zhu, Mitacs Project "Learning Jungle AI Recommender System for Enhanced Education"
- PI on NSERC Discovery Grant "Stochastic Optimization of Renewal Energy"
- PI on NSERC Engage Grant "Deep Learning Method for Drinking Water Pollutant Detection"
- PI on OCE VIP I Grant "Deep Learning Method for University Timetabling Problem"
- PI on IRAP AI Grant "Deep Learning Method for Workplace Safety"
- PI on MITACS Grant "Recommendation System for Online Learning"
- PI on Environment Canada Project "Temporal and Spacial Correlation of PM2.5"
- Member of NSERC Sanofi Industrial Research Chair Jianghong Wu Grant "Math for Infectious Diseases"
- Analyst in Teekay Shipping "Operational Risk Mitigation"