Arpan Seth

Contamination of drinking water distribution network can severely impact the public health. This work focuses on the modeling of water distribution systems and using these models to design real-time response applications that help in recovery planning during a contamination incident.

Yankai Cao

The project focuses on developing new algorithms utilizing parallel architectures to solve dynamic optimization problems arising from implementation of nonlinear model predictive control of pharmaceutical manufacturing. The research has explored the use of graphic processing units for fast solution of nonlinear optimization problems and decompositions specifically for time-discretized systems.

Jia Kang
Co-Advised with Prof. J. Hahn

Large-scale, nonlinear dynamic models frequently arise when describing the physics of important engineering and biological problems. In this research, we are developing new algorithms that exploit concurrent computing architectures to provide efficient parallel solution of large-scale parameter estimation problems, focusing on those with both temporal and spatial structure that can be exploited.

Jianfeng Liu

Parameter estimation for infectious diseases plays an important role in the understanding of disease dynamics and decision-making in public health policies. This research focuses on developing advanced modeling techniques and solution strategies for disease-related parameter estimation problems resulting in mixed-integer nonlinear programming problems (MINLPs).

Michael Bynum

Infectious diseases have plagued communities all over the world throughout history, and they continue to kill countless numbers of people every year. Developing dependable models for the spread of infectious diseases can help provide an understanding of such spread and allow evaluation of public health policies. The goal of this research is to use dynamic optimization for parameter estimation of spatio-temporal models of the spread of measles. 

Jose Santiago Rodriguez

The advancements in numerical methods for solving differential equations and the improvements of computational tools, have made possible the solution of large scale dynamic problems with considerable number of variables. This work explores the use of the parallel algorithms to solve dynamic optimization problems with applications on water network distribution systems. 

Alberto Jose Benavides-Serrano

Thesis: Mathematical Programming Formulations for the Optimal Placement of Imperfect Detectors with Applications to Flammable Gas Detection and Mitigation Systems (2014)
Current position: Modeling and Optimization Engineer, Shell
E-mail: a.benavides.serrano@gmail.com 
Linkedin Link: https://www.linkedin.com/in/albertobenavides

Sean Legg

Thesis: Stochastic Programming Approaches for the Placement of Gas Detectors in Process Facilities (2013)
Current position: Technical Safety Engineer, Shell International Exploration and Production
E-mail: legg.sean@gmail.com
Linkedin Link: https://www.linkedin.com/pub/sean-legg/4b/640/94b

Angelica (Wong) Mann

Thesis: Numerically Efficient Water Quality Modeling and Security Applications (2013)
Current position: Applications Engineer, ExxonMobil

Daniel Word

Thesis: Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology (2013)
Current position: Process Control Engineer, Chevron Energy Technology Company
E-mail: daniel.p.word@gmail.com
Linkedin Link: www.linkedin.com/pub/daniel-word/6a/8b6/382

Yu Zhu

Thesis: Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes (2010)
Current position: Optimization Analyst, TPC Group
E-mail: yuzhu.che@gmail.com
Linkedin Link: www.linkedin.com/in/yuzhuchn/

Chen Wang
PhD

Current Position: Research Fellow at the Singapore Management University
E-mail: mrwcpr@gmail.com
Website: http://sis.smu.edu.sg/about/staff/current-research-staffvisitor/wang-chen

Gabe Hackebeil
Researcher

Shawn McGee
Researcher

Xiaorui Yu

Derrick Thomas
Co-Advised with Prof. S. Mannan

George Abbot III

Ahmed Rabie