Optimisation & Decision Science
This interdisciplinary field, from resource allocation to logistics, utilizes mathematical modeling and analytical methodologies for informed decision-making. It ensures efficient resource utilization, cost minimization, and goal achievement in various sectors.
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121 result(s)
Growth of Common Friends in a Preferential Attachment Model
B. Das and S. Ghosh , 2021, Stochastic Models, 37(3), 427-447, https://arxiv.org/abs/1908.04510
Human Mobility Behavior in COVID-19: A Systematic Literature Review and Bibliometric Analysis
F.Benita, 2021, Sustainable Cities and Society, 70, 102916, https://doi.org/10.1016/j.scs.2021.102916
Hykernel: A Hybrid Selection of One/two-phase Kernels for Triangle Counting on GPUs
M Almasri, N Vasudeva, R Nagi, J Xiong, WM Hwu, 2021, IEEE High Performance Extreme Computing Conference (HPEC), 1-7, https://ieeexplore.ieee.org/iel7/9622740/9622741/09622856.pdf
INFORMS Annual Meeting TutORials Speaker
Karthyek Murthy, 2021
Insights on Data Quality from a Large-scale Application of Smartphone-based Travel Survey Technology in the Phoenix Metropolitan Area, Arizona, USA
S. Hong, F. Zhao, V. Livshitsa, S. Gershenfeld, J. Santos, and M. Ben-Akiva, 2021, Transportation Research Part A: Policy and Practice, vol 154, 413-429, https://www.sciencedirect.com/science/article/pii/S0965856421002482
Integrating Empirical Analysis into Analytical Framework: An Integrated Model Structure for On-Demand Transportation
Yuliu Su, Ying Xu, Costas Courcoubetis, and Shih-Fen Cheng, 2021, The Proceedings of the 2021 INFORMS International Conference on Service Science, ICSS 2021: AI and Analytics for Smart Cities and Service Systems, 300–315, https://link.springer.com/chapter/10.1007/978-3-030-90275-9_25
K-clique Counting on GPUs
M Almasri, I El Hajj, R Nagi, J Xiong, W Hwu, 2021, arXiv e-prints, 2104, 13209
Learning Large Electrical Loads via Flexible Contracts with Commitment,
P. Lai, L. Duan, and X. Lin, 2021, IEEE Transactions on Network Science and Engineering, 8(2), 1925 – 1940, https://arxiv.org/pdf/1901.09169.pdf
Limited-trust Equilibria
T Murray, J Garg, R Nagi, 2021, European Journal of Operational Research, Volume 289, Issue 1, 364-380, https://www.sciencedirect.com/science/article/pii/S0377221720306202
Machine Learning for Soil Moisture Prediction Using Hyperspectral and Multispectral Data
M. Lobato, W. R. Norris, R. Nagi, A. Soylemezoglu and D. Nottage , 2021, IEEE 24th International Conference on Information Fusion (FUSION), 1-7, https://ieeexplore.ieee.org/abstract/document/9627067/