Marcus Department of Industrial and Manufacturing Engineering

  • United States

Organization profile

Organization profile

Research Interests

Fingerprint Dive into the research topics where Marcus Department of Industrial and Manufacturing Engineering is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Costs Engineering & Materials Science
Scheduling Engineering & Materials Science
Planning Engineering & Materials Science
Machining Engineering & Materials Science
Supply chains Engineering & Materials Science
Industry Engineering & Materials Science
3D printers Engineering & Materials Science
Students Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1972 2020

Computing confidence intervals from massive data via penalized quantile smoothing splines

Zhang, L., Castillo, E. D., Berglund, A. J., Tingley, M. P. & Govind, N., Apr 2020, In : Computational Statistics and Data Analysis. 144, 106885.

Research output: Contribution to journalArticle

Smoothing Splines
Quantile
Large Data Sets
Splines
Confidence interval

Exponential random graph modeling of a faculty hiring network: The IEOR case

Del Castillo, E., Meyers, A. & Chen, P., Jan 2 2020, In : IISE Transactions. 52, 1, p. 43-60 18 p.

Research output: Contribution to journalArticle

Operations research
Social aspects
Complex networks
Computer science
Innovation

Rejoinder on: “On active learning methods for manifold data”

Li, H., Del Castillo, E. & Runger, G., Jan 1 2020, (Accepted/In press) In : Test.

Research output: Contribution to journalComment/debate

Active Learning
Cycle
Learning methods
Active learning
Model

Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions through Adverse Event Reports

Liu, N., Chen, C. B. & Kumara, S., Jan 2020, In : IEEE Journal of Biomedical and Health Informatics. 24, 1, p. 57-68 12 p., 8786248.

Research output: Contribution to journalArticle

Drug interactions
Supervised learning
Drug Interactions
Learning algorithms
Pharmaceutical Preparations

Unveiling non-equilibrium metallurgical phases in dissimilar Al-Cu joints processed by vaporizing foil actuator welding

Wang, K., Shang, S. L., Wang, Y., Vivek, A., Daehn, G., Liu, Z. K. & Li, J., Jan 15 2020, In : Materials and Design. 186, 108306.

Research output: Contribution to journalArticle

Open Access
Vaporization
Metal foil
Welding
Actuators
Intermetallics
4 Citations (Scopus)
Supplier Selection
Inventory Management
Supply Chain
Supply chains
Linear programming

A fully distributed traffic allocation algorithm for nonconcave utility maximization in connectionless communication networks

Wang, J., Ashour, M., Lagoa, C. M., Aybat, N. S. & Che, H., Nov 2019, In : Automatica. 109, 108506.

Research output: Contribution to journalArticle

Telecommunication networks
Internet
Routers
Packet switching
Packet networks

An adaptive two-stage Bayesian model averaging approach to planning and analyzing accelerated life tests under model uncertainty

Zhao, X., Pan, R., del Castillo, E. & Xie, M., Jan 1 2019, In : Journal of Quality Technology. 51, 2, p. 181-197 17 p.

Research output: Contribution to journalArticle

Planning
Testing
Uncertainty
Model uncertainty
Bayesian model averaging
12 Citations (Scopus)

An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction

Li, Z., Wu, D., Hu, C. & Terpenny, J., Apr 2019, In : Reliability Engineering and System Safety. 184, p. 110-122 13 p.

Research output: Contribution to journalArticle

Degradation
Learning algorithms
Bearings (structural)
Aircraft engines
Aircraft

An Investigation of Placement of Textual and Graphical Information Using Human Performance and Eye Tracking Data

Shi, C., Cohen, A., Rothrock, L. & Umansky, T., Jan 1 2019, Human Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Yamamoto, S. & Mori, H. (eds.). Springer Verlag, p. 122-136 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11569 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Man machine systems
Eye Tracking
Human Performance
Eye movements
Placement