Tag: Dr. Shouyi Wang

New Ph.D Graduate Will Return Home and Find Solutions

Ann Hoang on

A few years ago, Na Wang found problems in her career as a mechanical engineer in China. Now, Dr. Na Wang finds solutions through Industrial Engineering.

Na Wang earned her Ph.D. in Industrial Engineering from the IMSE Department in the Spring 2015.
Na Wang earned her Ph.D. in Industrial Engineering from the IMSE Department in the Spring 2015. //Photo provided

I am from the middle part of China. I received my Bachelors degree in Mechanical Engineering from the North China University of Water Resources and Electric Power. I received my Masters degree in Mechanical Engineering from the University of Science and Technology in Beijing. After graduation, I worked as a mechanical design engineer and was responsible for designing various types of equipment for a cold rolling production line.

Gradually, I felt there were some inefficiencies in the production line. However, I didn’t realize the root cause behind the inefficient phenomena at that time.

With my preliminary research, I found that studying Industrial Engineering would improve the inefficiencies.

Thus, I started my Ph.D study at UT Arlington’s IMSE department. After over four years of studying optimization under the supervision of Dr. Jay Rosenberger, I have learned the knowledge to make improvements in different applications. I have applied the knowledge in air traffic flow and pain management problems.

I will definitely miss the lovely environment in the IMSE department, and I will keep these precious memories forever.

My research interest is in statistical analysis, building prediction models, and optimization of MILP and MINLP models. I really enjoyed studying in the COSMOS Lab in the Industrial, Manufacturing, and Systems Engineering Department. My advisor, Dr. Jay Rosenberger, taught me so much. He is so knowledgeable and creative. In the past four years, his outstanding guidance made me feel that I was on a pleasant journey. I also learned a lot from Dr. Chen, Dr. Zeng, Dr. Corley, and Dr. Wang.

Other staff members in the IMSE department, like Julie, Kim and Richard always offered their help when I needed it. After finishing my Ph.D degree, I am planning to move back to China to be with my family.

Written by Na Wang

Na Wang graduated from the Industrial, Manufacturing, and Systems Engineering Department at the University of Texas at Arlington in May 2015 with a Ph.D in Industrial Engineering.

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).