Projects per year
Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit
Costs
Engineering & Materials Science
Software reliability
Engineering & Materials Science
Machining
Engineering & Materials Science
Degradation
Engineering & Materials Science
Redundancy
Engineering & Materials Science
Testing
Engineering & Materials Science
Reliability analysis
Engineering & Materials Science
Inspection
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Projects 2008 2017
- 7 Finished
Collaborative Research: Network Protection Under Uncertainty
National Science Foundation (NSF)
9/1/14 → 8/31/17
Project: Research project
Law enforcement
National security
Decision making
Resource allocation
Uncertainty
Collaborative Research: Process Monitoring And Control In Autocorrelated Multistage Manufacturing Processes
National Science Foundation (NSF)
9/1/12 → 8/31/15
Project: Research project
Process monitoring
Process control
Monitoring
Industry
Chemical industry
Eager: Pulsed Laser Assisted Exfoliation Of Single Crystalline Sic Thin Layers For Cost Effective Micro-Device Fabrication
National Science Foundation (NSF)
9/1/11 → 8/31/12
Project: Research project
silicon carbides
pulsed lasers
costs
fabrication
ion implantation
Research Output 1972 2019
3D FEM simulation of the turning process of stainless steel 17-4PH with differently texturized cutting tools
Liu, G., Huang, C., Su, R., Ozel, T., Liu, Y. & Xu, L., May 1 2019, In : International Journal of Mechanical Sciences. 155, p. 417-429 13 p.Research output: Contribution to journal › Article
Stainless Steel
Cutting tools
Inverse problems
stainless steels
finite element method
A Deep Neural Network-based method for estimation of 3D lifting motions
Mehrizi, R., Peng, X., Xu, X., Zhang, S. & Li, K., Feb 14 2019, In : Journal of Biomechanics. 84, p. 87-93 7 p.Research output: Contribution to journal › Article
Video cameras
Analysis of variance (ANOVA)
Controlled Environment
Body Image
Deep neural networks
A hybrid approach for identifying factors affecting driver reaction time using naturalistic driving data
Arbabzadeh, N., Jafari, M., Jalayer, M., Jiang, S. & Kharbeche, M., Mar 1 2019, In : Transportation Research Part C: Emerging Technologies. 100, p. 107-124 18 p.Research output: Contribution to journal › Article
driver
Alarm systems
Collision avoidance
Brakes
accident statistics