Dr Shouyi Wang

[Dr Shouyi Wang]

Associate Professor, Industrial Engineering

Last Updated: April 8, 2020

about me

Research Interests

My research interests focus on the development and validation of new data mining, machine learning and AI methods through interdisciplinary research, and apply them to solve complex decision-making and knowledge discovery problems in healthcare, manufacturing, agriculture, energy, and other industries that require data-driven technologies.

Teaching Interests

My teaching interests include teaching graduate and undergraduate data science & decision analytics related courses, including data mining & analytics, decision analysis, statistical process control, time series analysis, engineering probability, operations research, regression analysis, simulation and optimization, and design of experiments.

Biography

Shouyi Wang received the B.S. degree in Control Science and Engineering from Harbin Institute of Technology, Harbin, China, in 2003 and the M.S. degree in Systems and Control Engineering from Delft University of Technology, Delft, the Netherlands, in 2005 and the Ph.D. degree in Industrial and Systems Engineering from Rutgers University, Piscataway, NJ in 2012. From 2011-2013, he was a research scientist in the Department of Industrial and Systems Engineering and the Integrated Brain Imaging Center at School of Medicine, University of Washington, Seattle. Currently, he is an Assistant Professor of Industrial and Manufacturing Systems Engineering at the University of Texas at Arlington, Arlington, TX. His current research interests include data analytics, decision analytics, machine learning, and AI technologies with applications to optimize complex systems in healthcare, manufacturing, energy, agriculture, and other industries that require data-driven technologies.

Education

- 2012 PhD in Industrial & Systems Engineering
  Rutgers University, 2012
- 2005 MS in Systems & Control Engineering
  Delft University of Technology, Netherlands, 2005
- 2003 BS in Control Science & Engineering
  Harbin Institute of Technology, China, 2003

Appointments

- Sept 2019 to Present Associate Professor
  Industrial, Manufacturing, and Systems Engineering, UT Arlington (Arlington, TX, United States)
- Sept 2013 to Aug 2019 Assistant Professor
  Industrial, Manufacturing, and Systems Engineering, UT Arlington (Arlington, TX, United States)
- Aug 2012 to July 2013 Research Associate
  Joint ISE Dept. and School of Medicine, University of Washington (Seattle, WA, United States)
  worked as a research associate at UW Complex Systems Modeling & Optimization Lab at ISE Department and the Integrated Brain Imaging Center at UW school of medicine. The research was conducted to develop novel data mining and machine learning solutions for challenging biomedical research problems.
- Sept 2011 to July 2012 Research Scientist
  Integrated Brain Imaging Center, University of Washington (Seattle, WA, United States)
  worked as a research associate at UW Complex Systems Modeling & Optimization Lab at ISE Department and the Integrated Brain Imaging Center at UW school of medicine. The research was conducted to develop novel data mining and machine learning solutions for challenging biomedical research problems.

Memberships

- Jan 2013 to Present Institute of Industrial Engineers
  Member
- Jan 2010 to Present Institute of Electrical and Electronics Engineers
  Member
- Jan 2009 to Present Institute for Operations Research and the Management Sciences
  Member

Awards and Honors

- Apr 2019 Finalist Award of Data challenge sponsored by IISE Quality Control & Reliability Engineering
- Dec 2018 Best Paper Award sponsored by The 11th International Conference on Brain Informatics
- Aug 2018 Foxconn Research Innovation Award on Smart Manufacturing sponsored by Foxconn Global Advanced Manufacturing Research Center
- Oct 2016 Best Paper Award Runner Up sponsored by The 9th International Conference on Brain Informatics
- Mar 2014 Featured Article with Media Report sponsored by Physics in Medicine and Biology
- Jan 2014 Featured Article sponsored by International Journal of Data Mining and Bioinformatics
- Dec 2013 Featured Article with Media Report sponsored by IEEE Transactions on Knowledge and Data Engineering
- Nov 2012 Best Paper Award Runners Up sponsored by Data Mining Section, the 2012 Annual Meeting of The Institute for Operations Research and the Management Sciences (INFORMS)
- Dec 2011 Travel Award sponsored by The 2011 IEEE International Conference on Bioinformatics & Biomedicine

News Articles

- May 2018 EurekAlert! American Association for the Advancement of Science (AAAS) - UTA Industrial Engineering Team Partners with Foxconn to Improve Automation
  The news is to report the research collaboration between UTA and Foxconn, a global electronics manufacturer giant and primary supplier for iPhone. I lead a team of industrial engineers to partner with Foxconn to develop the next generation of smart manufacturing in the US.
  
  (Type: Internet)
- Sept 2016 Fort Worth Magazine - UTA Researchers Building App to Predict Emotions
  
  (Type: Magazine)
- May 2016 CBS Dallas/Fort Worth - UTA Researchers Look To Solve Anger Issues
  The UTA Interdisciplinary Research Program funded research project "A System for Neuro-Feedback Anger Management to Prevent Domestic Violence" draws public interests and broadcasted by CBS DFW news.
  
  (Type: Television)
- Mar 2014 Medical Physics Web - PET/CT: Will Respiratory Gating Help?
  The NSF funded UTA-UW collaborative research project on personalized motion management in radiation therapy planning obtained a featured article on the research. This research won the NSF funding award with the project topic on Decision Model for Patient-Specific Motion Management in Radiation Therapy Planning.
  
  (Type: Internet)
- Mar 2014 Scoop.it! - Respiratory trace feature analysis for the prediction of respiratory-gated PET quantification
  
  (Type: Internet)
- Nov 2013 United Neurodiagnostic Professionals of America (UNPO) - Computer Model to Predict Epilepsy With 70% + Accuracy Within 30 Minutes Before Seizure Onset
  
  (Type: Internet)
- Nov 2013 Scicasts - Study Looks at Better Prediction for Epileptic Seizures Through Adaptive Learning Approach
  
  (Type: Internet)
- Nov 2013 ScienceDaily - Better Prediction for Epileptic Seizures Through Adaptive Learning Approach
  The epileptic seizure prediction research attracted broad media interests to help patients with epilepsy with novel computational model-driven smart devices.
  
  (Type: Internet)
- Nov 2013 Epilepsy Research UK - US Researchers Develop New Algorithm to Predict Seizures”
  
  (Type: Internet)
- Nov 2013 Science Spot - Getting to grips with seizure prediction
  
  (Type: Internet)
- Oct 2013 BioNewsTexas - UT Arlington Researcher Part of Emerging Technology for Better Understanding Seizure Activity
  
  (Type: Internet)

Support & Funding

This data is entered manually by the author of the profile and may duplicate data in the Sponsored Projects section.

- Sept 2018 to Aug 2022 ALFA-IoT: ALliance For Smart Agriculture in the Internet of Things Era sponsored by University of Texas at El Paso - $145000
  (Funded)
- Sept 2018 to Aug 2019 Decision Analytics for Joint Optimization of Urban Life Environments (JOULE) sponsored by University of Texas at Arlington - $20000
  (Funded)
- Sept 2015 to Aug 2019 Collaborative Research: Decision Model for Patient-Specific Motion Management in Radiation Therapy Planning sponsored by National Science Foundation (NSF) - $65237
  Shouyi Wang (Funded)
- June 2015 to May 2017 A System for Neuro-Feedback Anger Management to Prevent Domestic Violence sponsored by University of Texas at Arlington - $20000
  (Funded)
- Nov 2017 to Dec 2018 Improving Data-Driven Assistive Technologies for Human Performance and Quality Management of Large-Scale Manufacturing Production Line sponsored by S and B Industry Inc. - $53000
  (Funded)
- June 2017 to May 2018 Big Data and Advanced Artificial Intelligence Techniques to Improve Manufacturing Operation Efficiency and Decision-Making sponsored by Foxconn Technology - $234435
  (Funded)
- June 2016 to Aug 2017 Integrated Brain Network Modeling to Improve PreSurgical Evaluation of Epilepsy sponsored by University of Texas at Arlington - $10000
  Shouyi Wang (Funded)

Publications

2019

Journal Article
Probing Protein Allostery as a Residue-Specific Concept via Residue Response Maps
[Hayatshahi, Hamed, Ahuactzin, Emilio, Tao, Peng, Wang, Shouyi, Liu, Jing]. 59(11), 4691-4705.

Journal Article
Emotion Recognition and Analysis Using ADMM-Based Sparse Group Lasso
[Puk, Kin Ming, WANG, Shouyi, Rosenberger, Jay, Grandy, Kellen, Harris, Haley Nicole, Peng, Yuanbo, Nordberg, Anne, Lehmann, Peter, Tommerdahl, Jodi, Chiao, Jung-Chih]. DOI http://dx.doi.org/10.1109/TAFFC.2019.2943551

Journal Article
Machine Learning Classification Model for Functional Binding Modes of TEM-1 β-Lactamase
[Wang, Feng, Shen, Li, Zhou, Hongyu, Wang, Shouyi, Wang, Xinlei, Tao, Peng]. 6, 47.

2018

Journal Article
Cost-effectiveness of Patient-Specific Motion Management Strategy in Lung Cancer Radiation Therapy Planning
[Liu, Shan, Wang, Shouyi, Chaovalitwongse, W.Art, Bowen, StephenR.]. Engineering Economist, Special Issue on Engineering Economic Models in Healthcare Systems.

Journal Article
Discriminative Analysis of Parkinson's Disease Based on fMRI Functional Connectivity at Different Sub-frequency Bands
[Wang, Shouyi, Puk, Kin-Ming, Hosseini, Rahilsadat, Chaovalitwongse, Wanpracha, Grabowski, Thomas]. Brain Informatics.

Journal Article
Machine Learning of Tumor Cluster Dosi-Radiomics to Predict Regional Changes on Early-Response FDG PET/CT Imaging of FLARE-RT Protocol Patients
[Duan, Chunyan, Chaovalitwongse, Wanpracha, Puk, Kinming, Wang, Shouyi, Hippe, Dan, Pierce, L, Liu, X]. Medical Physics. 45(6), E441-E442.

Journal Article
An fNIRS-Based Feature Learning and Classification Framework to Distinguish Hemodynamic Patterns in Children Who Stutter
[Hosseini, Rahilsadat, Walsh, Bridget , Tian, Fenghua , Wang, Shouyi]. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(6), 1254-1263. "IEEE".

Journal Article
Discriminative Spectral Pattern Analysis for Positive Margin Detection of Prostate Cancer
[Chan, Henry, Kapur, Payal, Cadeddu, Jeffrey, Liu, Hanli, , Wang, Shouyi]. IISE Transactions on Healthcare Systems Engineering. 8(2), 144-154. Array: "IISE".

Journal Article (In Process)

Submitted
Real Time Prediction of Respiratory Motion Using a Novel Pattern-Based Approach
[Kam, K., Wang, Shouyi, Bowen, S., Chaovalitwongse, W.]. IEEE Transactions on Human Machine Systems.

Submitted
A Novel Information-Integrated Sparse Feature Learning Approach to Identify Biomarkers of Posttraumatic Stress Disorder using Functional Near Infrared Brain Imaging
[Hosseini, Rahilsadat, Wang, Shouyi, Liu, Hanli, Tian, Fenghua]. IEEE Transactions on Neural Systems and Rehabilitation Engineering. "IEEE".

Revising to Resubmit
Low-Rank Representation for EEG Source Localization with Temporal Graph Regularization
[Liu, Feng, Rosenberger, Jay, Lou, Yifei, Wang, Shouyi]. IEEE Transactions on Biomedical Engineering.

Revising to Resubmit
Musical Training and Memorial Advantages in Recognition: An Electrophysiological Study
[Kam, K., Schaeffer, J., Wang, Shouyi, Park, H.]. Brain Informatics.

Submitted
A Minimum Spanning Tree-based Statistical Modeling Approach for Directed Connectivity Analysis of Brain Networks
[Hosseini, Rahilsadat, Wang, Shouyi]. IEEE Journal of Biomedical and Health Informatics. "IEEE".

Submitted
Probing Protein Allostery as a Residue-specific Concept via Residue Perturbation Maps
[Hayatshahi, Hamed, Ahuactzin, Emilio , Tao, Peng, Wang, Shouyi, Liu, Jin]. PLoS Computational Biology. "PLos".

Submitted
Sensitivity analysis of tumor cluster dosi-radiomics to predict regional changes on early-response FDG PET/CT Imaging of FLARE-RT Protocol Patients
[Duan, Chunyan, Chaovalitwongse, Wanpracha, Puk, Kinming, Wang, Shouyi, Hippe, Dan, Pierce, L, Liu, X]. Physics in Medicine & Biology.

Revising to Resubmit
A Supervised Learning Model for Predicting Tibia Soft Tissue Insertions Using Multi-Response Support Vector Regression
[Puk, Kinming, Wang, Shouyi, Rosenberger, JayM]. IEEE Transactions on Knowledge and Data Engineering.

Revising to Resubmit
Sparse Group Selection and Analysis of Function-Related Residue for Protein-State Recognition
[Wang, Shouyi, Puk, Kinming, Zhou, Hongyu, Dong, Zheng, Tao, Peng]. Journal of Computational Chemistry. "John Wiley & Sons".

Submitted
Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Sparse Group Lasso and Topological Features
[Puk, Kinming, Wang, Shouyi]. Neuroinformatics. "Springer".

Revising to Resubmit
An Efficient and Robust Approach for Automated Online Segmentation of Time Series Streams
[Wang, Shouyi, Kam, Kinming, Chaovalitwongse, W.]. Pattern Recognition.

Revising to Resubmit
Discover Discriminative Source Activations in EEG Brain Mapping using a Supervised Sparse Dictionary Learning Approach
[Liu, Feng, Wang, Shouyi, Rosenberger, Jay, Su, Jianzhong, Liu, Hanli]. IEEE Transactions on Knowledge and Data Engineering.

2017

Journal Article
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction
[Xiao, Cao, Wang, Shouyi, Iasemidis, Leon , Wong, Stephen, Wanpracha , Chaovalitwongse]. IEEE Transactions on Big Data. 1(1), 128-140. "IEEE". DOI http://dx.doi.org/10.1109/TBDATA.2017.2675982

Journal Article
Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination
[Liu, Feng, Rosenberger, JayM, Lou, Yifei, Hosseini, Rahilsadat, Su, Jianzhong, Wang, Shouyi]. IEEE Transactions on Big Data. 3(4), 378-391. "IEEE". DOI http://dx.doi.org/10.1109/TBDATA.2017.2756664

Journal Article
Temporal Dynamics of Eye-Tracking and EEG During Reading and Relevance Decisions
[Gwizdka, Jacek, Hosseini, Rahilsadat, Cole, Michael, Wang, Shouyi]. Journal of the Association for Information Science and Technology. 68(10), 2299-2312. "John Wiley & Sons". DOI http://dx.doi.org/10.1002/asi.23904

2016

Journal Article
An integrated feature ranking and selection framework for ADHD characterization
[Xiao, Cao, Bledsoe, Jesse, Wang, Shouyi, Chaovalitwongse, WanprachaArt, Mehta, Sonya, Semrud-Clikeman, Margaret, Grabowski, Thomas]. Brain Informatics. 3(3), 145-155.

Journal Article
A Patient-Specific Model for Predicting Tibia Soft Tissue Insertions From Bony Outlines Using a Spatial Structure Supervised Learning Framework
[Xiao, Cao, Wang, Shouyi, Zheng, Liying, Zhang, Xudong, Chaovalitwongse, WanprachaArt]. IEEE Transactions on Human Machine Systems. 46(5), 638-646. "IEEE".

Journal Article
Using Wireless EEG Signals to Assess Memory Workload in the $ n $-Back Task
[Wang, Shouyi, Gwizdka, Jacek, Chaovalitwongse, W.Art]. IEEE Transactions on Human Machine Systems. 46(3), 424-435.

2015

Journal Article
Online prediction of driver distraction based on brain activity patterns
[Wang, Shouyi, Zhang, Yiqi, Wu, Changxu, Darvas, Felix, Chaovalitwongse, WanprachaArt]. IEEE Transactions on Intelligent Transportation Systems : A Publication of the IEEE Intelligent Transportation Systems Council. 16(1), 136-150. "IEEE".

2014

Journal Article
Respiratory trace feature analysis for the prediction of respiratory-gated PET quantification
[Wang, Shouyi, Bowen, StephenR., Chaovalitwongse, W.Art, Sandison, GeorgeA., Grabowski, ThomasJ., Kinahan, PaulE.]. Physics in Medicine & Biology. 59(4), 1027. "IOP".

Journal Article
A gradient-based adaptive learning framework for online seizure prediction
[Wang, Shouyi, Chaovalitwongse, WanprachaArt, Wong, Stephen]. International journal of data mining and bioinformatics. 10(1), 49-64. "Inderscience".

2013

Journal Article
Online seizure prediction using an adaptive learning approach
[Wang, Shouyi, Chaovalitwongse, WanprachaArt, Wong, Stephen]. IEEE Transactions on Knowledge and Data Engineering. 25(12), 2854-2866.

2012

Journal Article
Machine learning algorithms in bipedal robot control
[Wang, Shouyi, Chaovalitwongse, Wanpracha, Babuska, Robert]. IEEE Transactions on Systems, Man and Cybernetics. Part C, Applications and Reviews. 42(5), 728-743. "IEEE".

2011

Journal Article
Early detection of numerical typing errors using data mining techniques
[Wang, Shouyi, Lin, Cheng-Jhe, Wu, Changxu, Chaovalitwongse, WanprachaArt]. IEEE Transactions on Systems, Man, and Cybernetics. Part A, Systems and Humans : A Publication of the IEEE Systems, Man, and Cybernetics Society. 41(6), 1199-1212.

Journal Article
Pattern-and network-based classification techniques for multichannel medical data signals to improve brain diagnosis
[Chaovalitwongse, WanprachaArt, Pottenger, RebeccaS., Wang, Shouyi, Fan, Ya-Ju, Iasemidis, LeonD.]. IEEE Transactions on Systems, Man, and Cybernetics. Part A, Systems and Humans : A Publication of the IEEE Systems, Man, and Cybernetics Society. 41(5), 977-988. "IEEE". DOI http://dx.doi.org/10.1109/TSMCA.2011.2106118

Journal Article (In Process)

Accepted
Construction of Sparse Weighted Directed Network from the Multivariate Time-series
In Proceedings of the 2018 International Conference on Brain Informatics
[Hosseini, Rahilsadat, Wang, Shouyi].

Submitted
A Novel Automated Approach for Online Segmentation of Time Series Data
The Thirty-Third AAAI Conference on Artificial Intelligence
[Wang, Shouyi, Kam, Kinming, , ]. "AAAI 2019".

Accepted
Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso
In Proceedings of the 2018 International Conference on Brain Informatics
[Puk, Kin-Ming, Wang, Shouyi, Xiang, Wei, Chaovalitwongse, Wanpracha, Grabowski, Thomas].

Accepted
Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization
In Proceedings of the 2018 International Conference on Brain Informatics
[Liu, Feng, Rosenberger, Jay, Lou, Yifei, Wang, Shouyi]. IEEE Transactions on Biomedical Engineering.

2017

Conference Proceeding
EEG source imaging based on spatial and temporal graph structures
In Proceedings of 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)
[Qin, Jing, Liu, Feng, Wang, Shouyi, Rosenberger, JayM]. 1, 1-6.

Conference Proceeding
Supervised Discriminative EEG Brain Source Imaging with Graph Regularization
In Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017
[Liu, Feng , Hosseini, Rahilsadat , Rosenberger, JayM, Wang, Shouyi, Su, Jianzhong].

Conference Proceeding
An interactive multisensing framework for personalized human robot collaboration and assistive training using reinforcement learning
In Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments
[Tsiakas, Konstantinos, Papakostas, Michalis , Theofanidis, Michail , Bell, Morris , Mihalcea, Rada , Wang, Shouyi, Burzo, Mihai , Makedon, Fillia]. 423-427. "ACM".

Conference Proceeding
A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping.
In Proceedings of the 31th AAAI Conference on Artificial Intelligence
[Liu, Feng, Wang, Shouyi, Rosenberger, JayM, Su, Jianzhong, Liu, Hanli]. 1431-1437. "AAAI 2017".

2016

Conference Proceeding
A Novel Mutual-Information-Guided Sparse Feature Selection Approach for Epilepsy Diagnosis Using Interictal EEG Signals
In Proceedings of International Conference on Brain and Health Informatics
[Wang, Shouyi, Xiao, Cao, Tsai, JeffreyJ., Chaovalitwongse, Wanpracha, Grabowski, ThomasJ.]. 274-284. "Springer".

Conference Proceeding
A Comprehensive Feature and Data Mining Study on Musician Memory Processing Using EEG Signals
In Proceedings of International Conference on Brain and Health Informatics
[Kam, KinMing, Schaeffer, James, Wang, Shouyi, Park, Heekyeong]. 138-148. "Springer".

Conference Proceeding
Pattern Classification and Analysis of Memory Processing in Depression Using EEG Signals
In Proceedings of International Conference on Brain and Health Informatics
[Puk, KinMing, Gandy, KellenC., Wang, Shouyi, Park, Heekyeong]. 124-137. "Springer".

Conference Proceeding
Prediction of seizure spread network via sparse representations of overcomplete dictionaries
In Proceedings of International Conference on Brain and Health Informatics
[Liu, Feng, Xiang, Wei, Wang, Shouyi, Lega, Bradley]. 262-273. "Springer".

Conference Proceeding
An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction.
In Proceedings of the 30th AAAI Conference on Artificial Intelligence
[Wang, Shouyi, Kam, KinMing, Xiao, Cao, Bowen, StephenR., Chaovalitwongse, WanprachaArt]. 2159-2165. "AAAI 2016".

2015

Conference Proceeding
Pattern-Based Variant-Best-Neighbors Respiratory Motion Prediction Using Orthogonal Polynomials Approximation.
In Proceedings of the 29th AAAI Conference on Artificial Intelligence
[Kam, KinMing, Wang, Shouyi, Bowen, StephenR., Chaovalitwongse, WanprachaArt]. 1364-1370. "AAAI 2015".

2014

Conference Proceeding
A Novel Probabilistic Framework to Personalize Online Epileptic Seizure Prediction
In Proceedings of BrainKDD: International Workshop on Data Mining for Brain Science
[Wang, Shouyi, Chaovalitwongse, W., Wong, S.]. "KDD".

2010

Conference Proceeding
A novel reinforcement learning framework for online adaptive seizure prediction
In Proceedings of 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
[Wang, Shouyi, Chaovalitwongse, WanprachaArt, Wong, Stephen]. 499-504. "IEEE".

2006

Conference Proceeding
Reinforcement learning control for biped robot walking on uneven surfaces
Proceedings of International Joint Conference on Neural Networks (IJCNN) 2006.
[Wang, Shouyi, Braaksma, Jelmer, Babuska, Robert, Hobbelen, Daan]. 4173-4178. "IEEE".

2018

Research Report
A Comprehensive Simulation-Based Approach for iPhone Manufacturing System Modeling and Operations Optimization
FIH Mobile University Partnership Program Research Report
[Wang, Shouyi, Puk, Kinming, Thriu Elangho Raj, Arvind]. Array.

Research Report
Integration of the Intelligent Pattern Learning System with Multiple Automated Micro-screw Driving Platforms
Foxconn Advanced Manufacturing Research Center Research Report
[Wang, Shouyi, Liu, Feng, Puk, Kinming]. Array.

Research Report
High-Precision Pattern Classification of Micro-Screw Driving Operations Using Torque Feedback Signals
Foxconn Advanced Manufacturing Research Center Research Report
[Wang, Shouyi, Liu, Feng]. Array.

2017

Research Report
An Ensemble Pattern Learning and Prediction Framework for Multivariate Sensory Signals
Foxconn Advanced Manufacturing Research Center Research Report
[Wang, Shouyi, Puk, Kinming]. Array.

Journal Article (In Process)

Published
A Real-Time Smart Pattern Recognition and Visualization System for an Automated Micro-screw Driving Platform
[Wang, Shouyi].

2017

Other
Applied optimization and data mining
[Chaovalitwongse, W.Art, Chou, Chun-An, Liang, Zhe, Wang, Shouyi]. Annals of Operations Research. 249(1-2), "Springer US". DOI http://dx.doi.org/10.1007/s10479-017-2402-x

2010

Book Chapter
Evaluating and Comparing Forecasting Models
Encyclopaedia of Operations Research and Management Science
[Wang, Shouyi, Chaovalitwongse, W.]. "Wiley & Sons".

Book Chapter
Operations Research in Data Mining
Encyclopaedia of Operations Research and Management Science
[Wang, Shouyi, Seref, O., Chaovalitwongse, W.]. "Wiley & Sons".

Presentations

- October 2019
  Wang, Shouyi (Author), "Deep Representation Learning of Heterogeneous Patient Data For Treatment Response Prediction in Radiotherapy", Seattle, WA. (October 20, 2019).
- May 2019
  Wang, Shouyi, "Machine Learning and Deep Learning Research in Medical Imaging and Healthcare Informatics", The University of Texas Southwestern Medical Center (UTSW), Dallas, TX. (May 8, 2019).
- August 2018
  Wang, Shouyi, "Future Factory: How Data Science and AI Technologies Are Transforming Manufacturing", Foxconn Global Advanced Manufacturing Research Center, Taiyuan, China. (August 1, 2018).
- January 2018
  Wang, Shouyi, "Data Analytics and Machine Learning in Manufacturing", Foxconn IE University, Zhengzhou, China. (January 10, 2018).
- November 2017
  Wang, Shouyi, "Discriminative EEG Source Imaging with Machine Learning Algorithm", Beijing, China. (November 17, 2017).
- October 2017
  Wang, Shouyi, "Data Analytics and Modeling in Medical Imaging Analysis and Decision Making", Houston, USA. (October 21, 2017).
- August 2017
  Wang, Shouyi, "The Future of Manufacturing with Data Analytics and Machine Learning", Foxconn China Headquarters in Shenzhen, Shenzhen, China. (August 13, 2017).
- November 2016
  Wang, Shouyi, "Discriminating Parkinson’s Disease Using Supervised Learning of Brain Network Analysis", Nashville, TN, USA. (November 13, 2016).
- November 2015
  Wang, Shouyi, "A CT-Imaging-Based Structural Learning Framework to Recover Natural Anatomy of Soft Tissue Insertions for Knee Reconstruction Surgery", Arlington, TX, USA. (November 10, 2015).
- November 2015
  Wang, Shouyi, "An Efficient Orthogonal-polynomial-based Approach for Time Series Representation and Prediction", Philadelphia, USA. (November 2, 2015).
- November 2015
  Wang, Shouyi, "Big Data Analytics and Supercomputing for Healthcare", Austin, TX, USA. (November 1, 2015).
- June 2015
  Wang, Shouyi, "Discriminating Parkinson’s Disease (PD) Using Functional Connectivity and Brain Network Analysis", Stanford, CA, USA. (June 1, 2015).
- March 2015
  Wang, Shouyi, "Classification of EEG signals of memory between musicians and non-musicians", San Francisco, CA, USA. (March 1, 2015).
- January 2015
  Wang, Shouyi, "Pattern-Based Variant-Best-Neighbors Respiratory Motion Prediction Using Orthogonal Polynomials Approximation", Austin, TX, USA. (January 1, 2015).
- November 2014
  Wang, Shouyi, "Using Physiological Signals to Assess Mental Workload on Human-Computer Interaction Tasks", San Francisco, CA, USA. (November 10, 2014).
- August 2014
  Wang, Shouyi, "An Adaptive Learning Framework for Personalized Online Epileptic Seizure Prediction", New York, NY, USA. (August 1, 2014).
- March 2014
  Wang, Shouyi, "Automated Time Series Modeling and Pattern Learning for Personalized Healthcare Decision-Making Systems". (March 1, 2014).
- October 2013
  Wang, Shouyi, "Enhancing Clinical Utility of Respiratory-Gated PET/CT by Respiratory-Motion-Based Patient Classification", Minneapolis, MI, USA. (October 7, 2013).
- October 2012
  Wang, Shouyi, "A Probabilistic Prediction Framework for Personalized Online Prediction of Epileptic Seizures", Phoenix, AZ, USA. (October 14, 2012).
- October 2012
  Wang, Shouyi, "Online Monitoring and Prediction of Complex Time Series Events", Phoenix, AZ, USA. (October 14, 2012).
- June 2012
  Wang, Shouyi, "Adaptive Learning Approaches for Online Monitoring and Prediction of Epileptic Seizures", Beijing, China. (June 1, 2012).
- June 2012
  Wang, Shouyi, "An Efficient Approach for Automated Online Segmentation of Time Series", Beijing, China. (June 1, 2012).
- November 2011
  Wang, Shouyi, "A Gradient-Based Adaptive Learning Framework for an Online Seizure Prediction", Charlotte, NC, USA. (November 13, 2011).
- December 2010
  Wang, Shouyi, "A Novel Reinforcement Learning Framework for Online Adaptive Seizure Prediction", Hong Kong, China. (December 18, 2010).
- July 2006
  Wang, Shouyi, "Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces", Vancouver, Canada. (July 16, 2006).

Students Supervised

- Present
  Jie Han, (Industrial Engineering)
  Probablistic Machine Learning for Healthcare Data Analytics
- Present
  Bahareh Nasirian, (Industrial Engineering)
  Data Fusion and Supervised Machine Learning for Data-Driven Smart Manufacturing
- Dec 2019
  Sai Abhishek Devar, (Industrial Engineering)
  Multivariate Time Series Pattern Recognition Using Machine Learning And Deep Learning Methods
- Aug 2019
  Alireza Fallahi, (Industrial Engineering)
  Linear Programming-based Optimization Approaches for Multi-Agent Demand Response Management
- Dec 2018
  Singh Jashandeep, (Industrial Engineering)
  Developing Simulation-based Approaches for Manufacturing Process Modeling and Optimization (Collaborative Research with Foxconn)
- Dec 2018
  Sharukh Kamal, (Industrial Engineering)
  Using machine learning to discover evolutionary mechanisms of antibiotic resistance and the emergence of superbugs (Collaborative Research with SMU Chemistry Department)
- Aug 2018
  Aditya Sheth, (Industrial Engineering)
  Developing Automated Data Extraction and Statistical Analysis for iPhone Manufacturing Process (Collaborative Research with Foxconn)
- Aug 2018
  Kinming Puk, (Industrial Engineering)
  Spatial-temporal Medical Imaging Analytics and Prediction for Patients with Lung Cancer (Collaborative Research with UW Radiation Oncology)
- Aug 2018
  Juan Castillo, (Industrial Engineering)
  Statistical Meta-Model For Air Traffic Flow And Capacity Management Based On Airspace Optimization-Simulation: The Continuous Challenge Of The Hub Of The America Congestion
- Aug 2018
  Kinming Puk, (Industrial Engineering)
  Supervised Sparse Learning with Applications in Bioinformatics
- Aug 2018
  Rahilsadat Hosseini, (Industrial Engineering)
  A Sparse Network Construction Method and a Mutual-Information based Sparse Feature Selection Algorithm for Multivariate Time-series Analysis & Its Application in Medical Diagnostic Problems
- May 2018
  Yanyan Xu, (Industrial Engineering)
  Quality control and Statistical Modeling of Mobile Phone Manufacturing Process (Collaborative Research with FIH Mobile Fort Worth)
- Mar 2018
  Feng Liu, (Industrial Engineering)
  Supervised Sparse Learning and Network Optimization for Bioinformatics & Neurosciences
- Dec 2017
  Arvind Thriu Elangho Raj, (Industrial Engineering)
  Data-Driven Quality Management for Process Improvement in Smartphone Manufacturing (Collaborative Research with Foxconn)
- Nov 2017
  Jianwei Cao, (Bioengineering)
  Revealing hemodynamic response and dynamic changes in functional cortical networks using functional near-infrared spectroscopy (fNIRS)
- Aug 2017
  Tejas Pawar, (Industrial Engineering)
  Discrete-Event Simulation to Support Manufacturing Logistics Decision-Making (Collaborative Research with Foxconn)
- Aug 2017
  Ying Chen, (Industrial Engineering)
  Plug-In Hybrid Electric Vehicle Charging Station Using Stochastic Dynamic Programming
- Dec 2016
  Srividya Sekar, (Industrial Engineering)
  Improving Data Collection and Statistical Analysis of Manufacturing Operations Management
- Dec 2016
  Marjan Sayadi, (Industrial Engineering)
  A Design And Analysis Of Computer Experiments Approach For Green Building
- Dec 2016
  Soma Sek Balasubramanian, (Industrial Engineering)
  Evaluating the Risk Factors Associated with Hospital Closures and Deployment of Quality Improvement Initiatives
- Aug 2016
  Wei Xiang, (Computer Science and Engineer)
  Deep Learning and GPU Accelerated Computing for Brain Imaging Analytics Research
- May 2016
  Daniel Taylor Gellerup, (Industrial Engineering)
  Discriminating Parkinson’s Disease Using Functional Connectivity And Brain Network Analysis (Collaborative Research with UW Integrated Brain Imaging Center)
- May 2016
  Kellen Gandy, (Psychology)
  An EEG Investigation Of A Depressive Self-Schema Related To Levels Of Processing In Individuals With High Depressive Symptomatology
- May 2016
  Shalini Gupta, (Industrial Engineering)
  Sleep monitoring and neuromodulation using EEG signals
- May 2015
  Kinming Kam, (Industrial Engineering)
  Stationary And Non-stationary Time Series Prediction Using State Space Model And Pattern-based Approach
- Apr 2014
  Asama Kulvanitchaiyanunt, (Industrial Engineering)
  A Design And Analysis Of Computer Experiments-based Approach To Approximate Infinite Horizon Dynamic Programming With Continuous State Spaces

Courses

Service to the University

- June 2014 to Present Committee Member
  
  The iPerform Center for Assistive Technologies to Enhance Human Performance
  Reach out and establish university-industry collaborative research on human assistive technologies and human-centered computing.
- Feb 2014 to Present Committee Member
  
  UTA Data-Driven Discovery for Knowledge Enhancement Research Group
  University Strategic Thrust Areas
- Feb 2014 to Present Committee Member
  
  UTA Health and the Human Condition Research Group
  University Strategic Thrust Areas
- Sept 2013 to Present Committee Member
  
  Center On Stochastic Modeling, Optimization, & Statistics (COSMOS)
- Sept 2013 to Present Committee Member
  
  Industrial and Manufacturing Systems Engineering Research Committee

Service to the Profession

- Oct 2014 to Present
  Member
  Institute of Industrial Engineers (IIE)
- Aug 2012 to Present
  Member
  Institute of Electrical and Electronics Engineers (IEEE)
- Oct 2010 to Present
  Member
  Institute for Operations Research and the Management Sciences (INFORMS)
- Feb 2017 to Dec 2019
  Editor, Book
  Springer Book: Data Analytics - Models and Applications in Matlab
  Editor for the new Book “Data Analytics - Models and Applications in Matlab” by Springer, book proposal approved, planned book publication in 2017.
- June 2018 to Aug 2019
  Editor, Associate Editor
  International Supply Chain Technology Journal (ISCTJ)
  My main role as one of the associate editor is to ensure high-quality paper submissions; provide constructive feedback to authors; assign and evaluate the performance of reviewers and makes recommendations for the paper improvements to ensuring the readability and high quality.
- Aug 2018 to Dec 2018
  Editor, Conference Proceedings (Arlington, TEXAS, United States)
  The 11th International Conference on Brain Informatics
- Oct 2017 to Nov 2018
  Council Member
  INFORMS Data Mining Section
- Oct 2017 to Nov 2018
  Workshop Organizer (Phenix , Arizona, United States)
  The 13TH INFORMS Workshop On Data Mining & Decision Analytics
- June 2016 to Aug 2018
  Reviewer, Journal Article
  Brain Informatics (6 papers)
- Jan 2014 to Aug 2018
  Reviewer, Journal Article
  Annals of Operations Research (3 paper)
- Apr 2018 to Apr 2018
  Committee Member (Arlington, TEXAS, United States)
  The 2018 Smart and Connected Cyber Secured Internet of Things (IoT) - RFID Conference
- Jan 2017 to Nov 2017
  Workshop Organizer
  The 2nd International Workshop on Big Data Neuroimaging Analytics for Brain and Mental Health (in joint with BI17 )
- Nov 2016 to Nov 2017
  Publicity Chair (Beijing, China)
  International Conference on Brain Informatics & Health (BIH)
- Feb 2017 to Oct 2017
  Session Chair
  INFORMS Annual Meeting - Session Data Analytics and Modeling for Medical Prognosis and Decision Making
- Jan 2014 to Aug 2017
  Reviewer, Journal Article
  IEEE Transactions on Human Machine Systems (4 papers)
- Sept 2014 to Feb 2017
  Editor, Journal Editor
  Annals of Operations Research, Special Volume: Applied Optimization and Data Mining: Theory and Applications
  Guest Editor, Annals of Operations Research, Special Volume: Applied Optimization and Data Mining: Theory and Applications (2014 – Present), to be published in 2016.
- Mar 2016 to Nov 2016
  Session Chair (Nashville, TN ,
  INFORMS Annual Conference - Data Analytics and Modeling for Medical Prognosis and Decision Making
- Mar 2016 to Nov 2016
  Committee Member
  INFORMS Data Mining Student Paper Competition
- Jan 2016 to Nov 2016
  Session Chair
  INFORMS Annual Meeting - Session Data Analytics and Modeling for Medical Prognosis and Decision Making
- Jan 2016 to Nov 2016
  Committee Member
  INFORMS Data Mining Student Paper Competition
- Jan 2016 to Oct 2016
  Workshop Organizer (Omaha, Nebraska, USA)
  The First International Workshop on Big Data Neuroimaging Analytics for Brain and Mental Health (in joint with BIH 2016)
  Organized the The 1st International Workshop on Big Data Neuroimaging Analytics for Brain and Mental Health (in joint with BIH 2016).
- Feb 2016 to Oct 2016
  Workshop/Special Session Co-Chair
  International Conference on Brain Informatics & Health (BIH)
- Feb 2015 to Nov 2015
  Session Chair (Philadelphia, PA, United States)
  INFORMS Annual Conference - Data Analytics and Statistical Learning Session in Data Mining Cluster
- Jan 2015 to Nov 2015
  Session Chair
  INFORMS Annual Conference - Recent Advances on Support Vector Machines Research in Big Data Cluster
- Feb 2015 to Nov 2015
  Session Chair
  The Reborn of Traditional OR Methods in the Era of Big Data Session in Modeling and Methodologies in Big Data Cluster, INFORMS Annual Conference
- May 2015 to Aug 2015
  Reviewer, Journal Article
  Neurophotonics (1 paper)
- Feb 2015 to June 2015
  Reviewer, Journal Article
  OMEGA (1 paper)
- Mar 2015 to June 2015
  Reviewer, Journal Article
  IEEE Journal of Biomedical and Health Informatics (1 paper)
- Jan 2015 to Mar 2015
  Reviewer, Journal Article
  Computers in Biology and Medicine (1 paper)
- Feb 2014 to Nov 2014
  Committee Member
  INFORMS Data Mining Student Paper Competition
- Feb 2014 to Nov 2014
  Session Chair
  INFORMS Annual Conference - Optimization and Modeling in Radiation Therapy Treatment Planning Session in Data Mining Cluster
- Jan 2014 to Mar 2014
  Reviewer, Journal Article
  IIE Transactions on Healthcare Systems Engineering (1 paper)
- Jan 2014 to Mar 2014
  Reviewer, Journal Article
  Optimization Letters (1 paper)
- Mar 2013 to Oct 2013
  Session Chair
  INFORMS Annual Conference - Data Analytics and Modeling for Healthcare Management I & II Session in Data Mining Cluster
- Feb 2012 to Oct 2012
  Session Chair
  INFORMS Annual Conference - Decision Making and Planning: Methods and Applications Session in Data Mining Cluster
- Feb 2012 to Oct 2012
  Session Chair
  INFORMS Annual Conference - Optimization and Machine Learning Methods for Brain Data Analysis” in Health Informatics Cluster
- Feb 2012 to Oct 2012
  Session Chair
  International INFORMS Conference - Data Mining and Human Factors in Healthcare Systems Session in OR/MS in Medicine and Healthcare Cluster

Service to the Community

- Sept 2015 to Present
  Program Coordinator (Fort Worth, TX, United States)
  Fort Worth Regional Science and Engineering Fair
  Assist program director and board committees on various organization activities, coordinate schedule, and assignment of judges, and provide assistance for student project demonstration.

Faculty & Staff Resources

Dr Shouyi Wang

[Dr Shouyi Wang]

Research Interests

Research Interests

Teaching Interests

Teaching Interests

Biography

Biography

Education

Education

Appointments

Appointments

Memberships

Awards and Honors

News Articles

News Articles

Support & Funding

Support & Funding

Publications

Presentations

Students Supervised

Courses

Service to the University

Service to the Profession

Service to the Community

Service to the Community