Tag: Profiles

Father’s Day Tribute to Ph.D. Student

Ann Hoang on

In honor of Father’s Day, our department would like to honor Sam Okate, who is a father pursuing his Ph.D. in Industrial Engineering at UT Arlington.

Sam Okate with son
Sam Okate with son //Photo Provided

“I have lived in Arlington my whole life, so my choice for graduate school was not hard.  When I completed my Bachelor’s degree in Engineering, I knew I wanted to pursue a Master’s degree in Engineering at University of Texas at Arlington.

At this same time of starting my Master’s degree, my son was born into the world.  Once I completed my Master’s degree, I was apprehensive to move forward with the doctoral degree for the sake of spending time with my new bundle of joy because I knew the responsibility of juggling work, school, and my son would be great.

After consulting with the UTA IMSE faculty, they made me feel really comfortable and gave me priceless advice that enabled me to make the decision to continue on with my educational pursuits.

Sam Okate with son championship
Sam Okate with son // Photo provided

I am very thankful that I am able to follow my goals and dreams, and that UTA gave me the avenue to do so.”

–Written by Sam Okate, Ph.D. in Industrial Engineering Candidate

Featured Student: Clement Smartt, Ph.D. Industrial Engineering Student with a Focus on Systems Engineering

Susan Ferreira on

UTA’s Systems Engineering Research Center (SERC) focuses on innovative and strategic systems engineering research. This blog entry focuses on one of the students affiliated with UTA’s SERC and his research related to real-world needs.

Clement Smartt is a Ph.D. candidate with a focus on Systems Engineering. Clement received the 2012 INCOSE Foundation Stevens Doctoral Award. This award recognizes innovative doctoral-level research related to the field of systems engineering.  His research addresses the important, but relatively unexplored topic: the use of systems engineering on proposals.  Organizations whose primary business is executing contracts must be able to capture contracts to survive.  When the contracts involve engineering complex systems, systems engineering often plays a significant role in the proposal process, sometimes leading the technical effort.  This research seeks to find an optimal use of systems engineering in proposal management to maximize the probability that a supplier organization will be awarded contracts.

Smartt suggests that a number of systems engineering related factors that can potentially be used to predict contract awards and pertain to the organization, the skill levels of employees, the competitive environment, the proposal project, the contract, and the relationship with the customer.  A survey was conducted to gather information related to these factors as well as contract award status for recent proposal efforts.  Smartt’s analysis of the survey results indicates that suppliers seeking to be awarded new contracts should: (1) keep their existing customers very satisfied with the contract work already captured, (2) invest adequate resources in systems engineering labor to understand the requirements and define a solution in support of the proposal, and (3) maintain an adequate number of face-to-face contacts with the customer during the proposal process.

A modeling framework was developed and validated to help decision makers determine an optimal use of systems engineering on their proposals.  The framework allows users to maximize the probability of a contract award given constraints such as budget and employee availability by strategically allocating resources to key systems engineering activities and employee with various skill levels. Organizations that engineer complex systems can use the findings of the survey analysis and the modeling framework to improve the chances of survival for their organizations.

Clement Smartt will be defending his dissertation on Friday, November 1, 2013 in Woolf Hall Room 200. If you are interested in learning more about systems engineering or about our M.S. Systems Engineering or Ph.D Industrial Engineering with Systems Engineering focus, please feel free to contact the IMSE Department at UT Arlington at 817-272-3092 and ask to speak to an advisor or email us with your questions at IMSEinfo@.uta.edu.

Written by Dr. Susan Ferreira, Director of Systems Engineering Research Center
IMSE Faculty

and

Clement Smartt
Ph.D. Student

Dr. Corley’s Recent Activities

Herbert Corley on

As this entry goes online, I will be in Minneapolis at the annual INFORMS conference presenting a paper entitled “A Cooperative Dual for the Nash Equilibrium.” The gist of this research is that people can often fare better in competitive situations if they cooperate. However, the more profound implication of the work is that complete cooperation is guaranteed to be possible only between two competitors, not three or more. In other words, there is a mathematical limit to complete cooperation. Apparently, three’s a crowd, like we all knew already. In addition, I will be attending the conference “Learning and the Brain” at Harvard in  November. At the INFORMS conference, I will also be working on a Systems Engineering research proposal with Dr. Ferreira.

Dr. Rosenberger, a recent IMSE Ph.D. graduate,  and I submitted in August a paper entitled “Constraint Optimal Selection Techniques (COSTs) for Nonnegative Linear Programming Problems”  to Optimization Methods and Software about an approach to solve huge, currently unsolvable linear programming problems quickly, as demanded by today’s high-speed, high-tech, ever-accelerating world. Linear programming, as you may remember, is the most widely used computational model in the business and scientific worlds. The method was also the basis of a recently issued patent entitled “System, Method and Apparatus for Allocating Resources by Constraint Selection.”

Finally, I will be headed abroad over the winter break and stop thinking about all this heady stuff. Enjoy your semester.

Written by Dr. Bill Corley
IMSE Faculty

Guest Post: Diana Martinez, IMSE Doctoral Student

Ann Hoang on

I am originally from Mexico; I earned my bachelor’s degree in Industrial Engineering at the Instituto Tecnologico de Saltillo and worked in a plastic injection company as a Manufacturing and Project Engineer for over two years. My initial desire was to come to the United States to improve the language; however, in 2007 I was awarded a 60-month scholarship from the Mexican National Council for Science and Technology to study at the University of Texas at Arlington (UTA).

I finished my M.S. in Industrial Engineering in Summer 2008 and pursued a PhD program in Fall 2008, joining the COSMOS (Center on Stochastic Modeling, Optimization, & Statistics) family. My research focused on the study of an advanced statistical method called Multivariate Adaptive Regression Splines (MARS) and the development of variants and sequential algorithms that provide more flexibility to the modeling process and facilitate the optimization routines. The case studies included an inventory forecasting problem, an air pollution problem and an automotive crash safety design problem.

During my graduate studies I was selected as a Graduate Research Assistant at TMAC, where I had the opportunity of being involved in different consulting projects for small and medium companies located in the Dallas/Fort Worth metroplex. Being part of the diverse community of UTA has been absolutely one of the most important experiences in my life not only because of the professional achievements I have earned but also because of the amazing people I have been fortunate to meet.

Written by Diana Martinez, IMSE Doctoral Student
Email: diana.martinezcepeda@mavs.uta.edu
LinkedIn: http://www.linkedin.com/pub/diana-martinez/26/307/511

IMSE Welcomes New Faculty Member

Ann Hoang on

Dr. Shouyi WangThe IMSE Department welcomes new Assistant Professor, Dr. Shouyi Wang. He comes to UTA from the University of Washington where he served as a Research Scientist.

Dr. Wang has interests in data mining, machine learning, pattern recognition, multivariate process monitoring and prediction, multivariate statistics, applied operation research, and human-centered computing. He has developed mathematical theories and algorithms to frame, model and optimize complex systems, and solve large-scale data mining and knowledge discovery problems in engineering and science. He has conducted research projects on intelligent learning control systems for humanoid walking robots, personalized healthcare online monitoring and decision-making systems using multivariate physiological signals, functional and diagnostic brain imaging analysis and network modeling (fMRI), clinical recommendation system for respiratory-gated PET/CT Imaging using patient classification and statistical association, real-time prediction/detection of mental states and cognitive activities using brain-computer interfaces, and personalized healthcare information systems with wearable body sensor networks. He is also the author of several articles that have appeared in publications such as the International Journal of Data Mining and Bioinformatics, Wiley Encyclopedia of Operations Research and Management Science, and  conference proceedings.

Dr. Wang received a Ph.D in Industrial and Systems Engineering from Rutgers in 2012. He is also a member of professional engineering organizations such as the Institute for Industrial Engineers (IIE), Institute for Operations Research and the Management Sciences (INFORMS), and Institute of Electronics Engineers (IEEE).

Featured Student: Misagh Faezipour, Ph.D. Industrial Engineering Candidate With a Focus in Systems Engineering

Ann Hoang on

The IMSE Department at UT Arlington offers degrees in Industrial Engineering at the B.S., M.S., and Ph.D. levels plus Masters degrees in Logistics, Engineering Management, and Systems Engineering. Since we only offer a doctoral degree in Industrial Engineering, students can focus their degree in areas of expertise such as Systems Engineering. In this blog, I’ll be focusing on one of those students and how she plans to apply her research to real-world needs.

Misagh Faezipour is a Ph.D. candidate at the Industrial Engineering department with a focus in Systems Engineering. She is also affiliated with the System Engineering Research Center (SERC). She has worked as a graduate research assistant on multiple projects in the SERC and is currently a graduate teaching assistant at the IE department. Her research interests lie in the areas of engineering complex systems, healthcare, sustainability, simulation, systems thinking & systems dynamics. The focus of her current research is in Systems Engineering with an emphasis on sustainability related to Systems Engineering and applied to the healthcare domain. Her dissertation is related to addressing water sustainability in hospitals. System dynamics is applied as a modeling approach to provide a better understanding of the water sustainability considerations & model key factors and interrelationships involved in hospitals. A simulator is being developed that simulates the interactions of the key factors from the model. The simulator will help decision makers realize the impacts of their decisions made related to some key factors and also help then make informed decisions. The hospitals are the main stakeholder in this research, and the goal is to help them with their water management process and support them to make informed decisions.