������

Research Interests

•System Informatics & Data Analytics

•Reliability Analysis

•Prognostics & Degradation Modeling

•Stochastic Processes & Decision-making

•Statistical Modeling & Bayesian Inference

•Data Fusion: Images, biomarkers, etc.

•Internet-of-things: Recommender Systems, Smart Homes, others.

Ph.D., Industrial and Systems Engineering, University of Wisconsin Madison

Ph.D. Minor, Computer Sciences and Statistics, University of Wisconsin Madison

M.S., Industrial and Systems Engineering, University of Wisconsin Madison

M.S., Mechanical Engineering, University of Wisconsin Madison

B.E., Mechanical Engineering, American University of Beirut

[1] A. Chehade, S. Bonk, and K. Liu, “Sensory-Based Failure Threshold Estimation for Remaining Useful Life Prediction,” IEEE Trans. Reliab., pp. 1–11, 2017.

[2] K. Liu, A. Chehade, and C. Song, “Optimize the Signal Quality of the Composite Health Index via Data Fusion for Degradation Modeling and Prognostic Analysis,” IEEE Trans. Autom. Sci. Eng., vol. 14, no. 3, pp. 1504–1514, Jul. 2017.

[3] A. Chehade and N. Duffie, “Optimal Dynamic Behavior of Adaptive WIP Regulation with Multiple Modes of Capacity Adjustment,” Procedia CIRP, vol. 19, no. 19, pp. 168–173, 2014.

[4] N. Duffie, A. Chehade, and A. Athavale, “Control theoretical modeling of transient behavior of production planning and control: A review,” in Procedia CIRP, 2014, vol. 17, no. C, pp. 20–25.

[5] O. Jeken, N. Duffie, K. Windt, H. Blunck, A. Chehade, and H. Rekersbrink, “Dynamics of autonomously acting products and work systems in production and assembly,” CIRP J. Manuf. Sci. Technol., vol. 5, no. 4, pp. 267–275, 2012..