Research Output per year
Research Output per year
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Dive into the research topics where Industrial Engineering and Management Sciences is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Wei Chen
- Mechanical Engineering - Professor, Chairperson, Wilson Cook Professor of Engineering & Design
- Industrial Engineering and Management Sciences - Professor
- Materials Science and Engineering - Professor
- Mechanical Engineering PhD Program
- Theoretical and Applied Mechanics PhD Program
- IIN - International Institute for Nanotechnology - Member
- MRC - Materials Research Center - Member
- NIMSI - NU Initiative for Manufacturing, Science and Innovation - Member
Person: Academic
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Addressing Hindsight Bias in Multigoal Reinforcement Learning
Bai, C., Wang, L., Wang, Y., Wang, Z., Zhao, R., Bai, C. & Liu, P., Jan 1 2023, In: IEEE Transactions on Cybernetics. 53, 1, p. 392-405 14 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
A graph-based decomposition method for convex quadratic optimization with indicators
Liu, P., Fattahi, S., Gómez, A. & Küçükyavuz, S., Jul 2023, In: Mathematical Programming. 200, 2, p. 669-701 33 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
A network-based discrete choice model for decision-based design
Sha, Z., Cui, Y., Xiao, Y., Stathopoulos, A., Contractor, N., Fu, Y. & Chen, W., Mar 24 2023, In: Design Science. 9, e7.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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A preposterior analysis to predict identifiability in the experimental calibration of computer models
Arendt, P. D. (Creator), Apley, D. (Creator) & Chen, W. (Creator), figshare, 2015
DOI: 10.6084/m9.figshare.1496544.v3, https://figshare.com/articles/A_preposterior_analysis_to_predict_identifiability_in_the_experimental_calibration_of_computer_models/1496544/3 and 2 more links, https://figshare.com/articles/A_preposterior_analysis_to_predict_identifiability_in_the_experimental_calibration_of_computer_models/1496544/2, https://figshare.com/articles/A_preposterior_analysis_to_predict_identifiability_in_the_experimental_calibration_of_computer_models/1496544 (show fewer)
Dataset
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Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data
Bui, A. T. (Creator) & Apley, D. (Creator), Taylor & Francis, 2021
DOI: 10.6084/m9.figshare.13708310.v2, https://tandf.figshare.com/articles/dataset/Analyzing_Nonparametric_Part-to-part_Variation_in_Surface_Point_Cloud_Data/13708310/2
Dataset
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General-purpose ranking and selection for computer simulation
Lee, S. (Contributor) & Nelson, B. L. (Creator), figshare, 2016
DOI: 10.6084/m9.figshare.1632868.v2, https://figshare.com/articles/General_purpose_Ranking_amp_Selection_for_Computer_Simulation/1632868/2
Dataset
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Network Canvas 2.0: Enhancing network data capture for drug use and HIV research
Birkett, M. A., Janulis, P., Contractor, N. & Phillips II, G.
National Institute on Drug Abuse
4/1/23 → 1/31/28
Project: Research project
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Collaborative Research: AMPS: Robust Failure Probability Minimization for Grid Operational Planning with Non-Gaussian Uncertainties
12/1/22 → 11/30/25
Project: Research project
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Collaborative Research: CIF: Medium: Learning to Control from Data: from Theory to Practice
10/1/22 → 9/30/26
Project: Research project