Complex Systems Monitoring, Modeling and Control Laboratory
Train the next generation of engineers to bring analytical skills and nonlinear thinking into "sensing-modeling-optimization" of complex systems, and build the successful career development of trainees.
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Advanced Sensing and Metrology
Modern industries are investing in advanced sensing modalities and metrology systems such as sensor networks and internet of things to cope with system complexity and increase information visibility.
Data Analytics and Simulation Modeling
Advanced sensing gives rise to big data. Realizing the full potential of big data calls upon analytical modeling and learning of pertinent knowledge about environmental and operational dynamics driving these systems.
Nonlinear Dynamics and Network Science
Nonlinear dynamics arise whenever multifarious entities of a system cooperate, compete, or interfere. Increasing levels of system complexity bring the benefits of flexibility, adaptation and responsiveness, but demanding better predictability and control.
Process Control and System Optimization
Exploit data-driven knowledge for sensor-based modeling, control and optimization of complex systems, toward quality and integrity improvements
Advanced Manufacturing and Smart Health
Expand the "sensing-modeling-optimization" theory to interdisciplinary applications towards advanced manufacturing and smart health that are of vital importance to the nation
Hui Yang, PhD, IISE Fellow
Schreyer Distinguished Honors Faculty Fellow
Director: Center for Health Organization Transformation
Professor: Industrial and Manufacturing Engineering, Biomedical Engineering
Editor-in-Chief: IISE Transactions on Healthcare Systems Engineering
Affiliate: Penn State Cancer Institute (PSCI), Clinical and Translational Science Institute (CTSI), Institute for Computational and Data Sciences (ICDS), CIMP-3D
Office: Leonhard 221, Penn State, University Park | Tel: 814-865-7397
Research Interests: Sensor-based modeling and analysis of complex systems for process monitoring/control, system diagnostics/prognostics, quality improvement, and performance optimization, with special focus on nonlinear stochastic dynamics, and the resulting chaotic, recurrence, multifractal, self-organizing, long-range dependence behaviors:
Sensing systems, data analytics, and artificial intelligence
Network science, nonlinear dynamics, and chaos
Computer simulation, system dynamics, and optimization
Quality engineering and applied statistics
Smart manufacturing and industry 4.0
Smart health, healthcare informatics, signal processing
Biography: Dr. Hui Yang is a Fellow of IISE, a Professor of Industrial and Manufacturing Engineering, Biomedical Engineering at Penn State, and is affiliated with Penn State Cancer Institute (PSCI), Clinical and Translational Science Institute (CTSI), Institute for Computational and Data Sciences (ICDS), CIMP-3D. Currently, he serves as the director of NSF Center for Health Organization Transformation (CHOT). Prior to joining Penn State in 2015, he was an Assistant Professor in the Department of Industrial and Management Systems Engineering at the University of South Florida from 2009 to 2015.
Dr. Yang was the president (2017-2018) of IISE Data Analytics and Information Systems Society, the president (2015-2016) of INFORMS Quality, Statistics and Reliability (QSR) society, and the program chair of 2016 IISE Annual Conference. He is also the Editor-in-Chief (EIC) for IISE Transactions Healthcare Systems Engineering, as well as an Associate Editor (AE) for IISE Transactions, IEEE Journal of Biomedical and Health Informatics (JBHI), ASME Journal of Computing and Information Science in Engineering (JCISE), IEEE Transactions on Automation Science and Engineering (TASE), IEEE Robotics and Automation Letters (RA-L), Quality Technology & Quantitative Management, and an Associate Editor for the Proceedings of IEEE CASE, IEEE EMBC, and IEEE BHI.
NEWS
| - 10/2023, Featured research in the IISE Magazine: Virtual sensing networks help find Neo in the "Matrix". |
| - 09/2023, A factory Digital-Twin paper is published "Digital Twinning and Optimization of Manufacturing Process Flows". |
| - 08/2023, A heart Digital-Twin book is published "Sensing, Modeling and Optimization of Cardiac Systems". |
| - 07/2023, An INFORMS tutorial is published "Mining Nonlinear Dynamics in Operational Data for Process Improvement". |
| - 01/2023, A sensor Digital-Twin paper is published "Virtual Sensing Network for Statistical Process Monitoring". |
| - 08/2022, Dr. Yang received the 'Fulbright Award in Science, Technology and Innovation'. |
| - 06/2022, Dr. Yang named 'SME's list of 25 Leaders Transforming Manufacturing' by Society of Manufacturing Engineers. |
| - 05/2022, Rui Zhu, Dr. Aqlan and Dr. Yang win the best paper award in Work Systems, IISE Annual Conference 2022. |
| - 05/2022, Congratulations! Adam Meyers will join the University of Miami as an asistant professor, starting in Spring 2023. |
| - 04/2022, Haedong Kim wins Best Poster Award, NSF CHOT National IAB meeting, Louisville KY. |
| - 06/2021, Featured research in the PSU news - Six-sigma methods for additive manufacturing quality control. |
| - 05/2021, PSU news - Dr. Yang named international society fellow. |
| - 05/2021, Rui Zhu, Dr. Aqlan and Dr. Yang win the best paper award in Human Factors and Ergonomics, IISE Annual Conference 2021. |
| - 04/2021, Congratulations! Rui Zhu will join the University of Oklahoma as an asistant professor, starting in Fall 2021. |
| - 11/2020, A new research project is sponsored by Clean Energy Smart Manufacturing Innovation Institute (CESMII) to design and develop novel self-powered sensing and analytical methods for smart manufacturing. |
| - 10/2020, Featured research in the PSU news - New method enables automated protections for sensitive data. |
| - 10/2020, Featured research in the IISE Magazine - Detecting mental disorders with sensor-based virtual reality. |
| - 07/2020, A research project, in collaboration with Argolytics, is sponsored by Manufacturing PA Innovation Program to design and develop sensor-based statistical quality control methods for advanced manufacturing. |
| - 05/2020, Congratulations! Siqi Zhang and Runsang Liu will receive the NSF INTERN scholarship to augment their academic research with industrial training in Summer 2020 with the IoT and AI group at IBM Thomas J. Watson Research Center. |
Please click here for more news from Complex Systems Lab.
PHD STUDENTS
Siqi Zhang Data Science & Analytics
Hankang Lee Artificial Intelligence & Smart Manufacturing
Marta Ventura Operations Research & Healthcare Analytics
Timothy Kuo Smart Manufacturing & Data Science
Kevin Mekulu Artificial Intelligence & Health Informatics
Runsang Liu Smart Manufacturing & Engineering Design
Omran Alomran Healthcare Systems Engineering
Mohammed Buqammaz Healthcare Systems Engineering
Wei Liu Smart Manufacturing & Engineering Design
PUBLICATIONS
For a full list of publications, please click the Research Gate Link or Google Scholar.
For research talks, please click the Presentations Slides Link.
For research software, please click the Software Toolbox Link.
For videos lectures and seminars, please visit the Youtube Channel.
(* Advisee and student authors from the Complex Systems Lab)
Operations Engineering
[1] H. Yang*, “Mining Nonlinear Dynamics in Operational Data for Process Improvement”, INFORMS TutORials in Operations Research, 109-132, 2023, DOI: 10.1287/educ.2023.0261
[2] A. Krall*, D. Finke, and H. Yang, “Virtual sensing network for statistical process monitoring,” IISE Transactions, Vol. 56, No. 11, p1-15, 2023, 10.1080/24725854.2022.2148779
[3] H. Yang, S. Kumara, S. Bukkapatnam, and F. Tsung, “The internet of things for smart manufacturing – a review,” IISE Transactions, Vol. 51, No. 11, p1190-1216, 2019, 10.1080/24725854.2018.1555383
[4] B. Yao*, C. McLean*, and H. Yang, “Robust optimization of dynamic route planning in the same-day delivery networks,” Networks, Vol. 73, No. 4, p434-452, 2019, 10.1002/net.21890
[5] G. Liu* and H. Yang, “Self-organizing network for group variable selection and predictive modeling,” Annals of Operations Research, Vol. 33, No. 9, p1399-1418, 2017, 10.1007/s10479-017-2442-2
Automation
[1] A. Meyers* and H. Yang, “Markov chains for fault-tolerance modeling of stochastic networks,” IEEE Transactions on Automation Science and Engineering, Vol. 19, No. 3, p2591-2606, 2022, 10.1109/TASE.2021.3093035
[2] B. Yao*, Y. Chen*, and H. Yang, “Constrained Markov decision process modeling for optimal sensing of cardiac events in mobile health,” IEEE Transactions on Automation Science and Engineering, Vol. 73, No. 4, p434-452, 2019, 10.1109/TASE.2021.3052483
[3] B. Yao* and H. Yang, “Markov decision process for image-guided additive manufacturing,” IEEE Robotics and Automation Letters, Vol. 3, No. 4, p2792-2798, 2018, 10.1109/LRA.2018.2839973
[4] Y. Chen* and H. Yang, “Sparse modeling and recursive prediction of space-time dynamics in stochastic sensor networks,” IEEE Transactions on Automation Science and Engineering, Vol. 13, No. 1, p215-226, 2016,
10.1109/TASE.2015.2459068
[5] H. Yang, C. Kan*, G. Liu* and Y. Chen*, “Spatiotemporal differentiation of myocardial infarctions,” IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 4, p938-947, 2013, 10.1109/TASE.2013.2263497
Manufacturing
[1] H. Lee* and H. Yang, “Digital Twinning and Optimization of Manufacturing Process Flows”. ASME Journal of Manufacturing Science and Engineering, 145(11): 111008, 2023, DOI: 10.1115/1.4063234
[2] R. Liu* and H. Yang, “Multimodal probabilistic modeling of melt pool geometry variations in additive manufacturing,” Additive Manufacturing, Vol. 61, p.103375, 2023, 10.1016/j.addma.2022.103375
[3] H. Yang, R. Chen*, and Soundar Kumara “Stable matching of customers and manufacturers for sharing economy of additive manufacturing,” Journal of Manufacturing Systems, Vol. 61, p.288-299, 2021, 10.1016/j.jmsy.2021.09.013
[4] H. Yang, P. Rao, T. Simpson, Y. Lu, P. Witherell, A. Nassar, E. W. Reutzel, and S. Kumara, “Six-sigma quality management of additive manufacturing,” Proceedings of the IEEE , Vol. 109, No. 4, p347-376, 2020. 10.1109/JPROC.2020.3034519
[5] H. Yang, R. Liu*, and S. Kumara, “Self-organizing network modelling of 3D objects,” CIRP Annals, Vol. 69, No. 1, p409-412, 2020, 10.1016/j.cirp.2020.04.099
Health Informatics
[1] A. Krall*, D. Finke, and H. Yang, "Mosaic privacy-preserving mechanisms for healthcare analytics," IEEE Journal of Biomedical and Health Informatics, Vol. 25, No. 6, p2184-2192, 2020, 10.1109/JBHI.2020.3036422
[2] B. Yao*, R. Zhu*, and H. Yang, "Characterizing the location and extent of myocardial infarctions with inverse ECG modeling and spatiotemporal regularization," IEEE Journal of Biomedical and Health Informatics, Vol. 22, No. 5, p1445 - 1455, 2018, 10.1109/JBHI.2017.2768534
[3] C. Kan*, K. Yip, and H. Yang, "Two-phase greedy pursuit algorithm for automatic detection and characterization of transient calcium signaling," IEEE Journal of Biomedical and Health Informatics, Vol. 19, No. 2, p687-697, 2015, 10.1109/JBHI.2014.2312293
[4] H. Yang, C. Kan*, A. Krall*, and D. Finke, "Network modeling and Internet of Things for smart and connected health systems," IISE Transactions on Healthcare Systems Engineering , Vol. 10, No. 3, p159-171, 2020, 10.1080/24725579.2020.1741738
[5] C. Cheng and H. Yang, "Multi-scale graph modeling and analysis of locomotion dynamics towards sensor-based dementia assessment," IISE Transactions on Healthcare Systems Engineering , Vol. 9, No. 1, p95-102, 2018, 10.1080/24725579.2018.1530315
Electrocardiology
[1] B. Yao* and H. Yang, "Physics-driven spatiotemporal regularization for high-dimensional predictive modeling: a novel approach to solve the inverse ECG problem," Scientific reports, Vol. 6, p39012, 2016, 10.1038/srep39012
[2] D. Du*, H. Yang, A. Ednie, and E. Bennett, "Statistical metamodeling and sequential design of computer experiments to model glyco-altered gating of sodium channels in cardiac myocytes," IEEE Journal of Biomedical and Health Informatics, Vol. 20, No. 5, p1439-1452, 2016, 10.1109/JBHI.2015.2458791
[3] D. Du*, H. Yang, S. Norring, and E. Bennett, "In-silico modeling of glycosylation modulation dynamics in hERG ion channels and cardiac electrical signals," IEEE Journal of Biomedical and Health Informatics, Vol. 18, No. 1, p205-214, 2013, 10.1109/JBHI.2013.2260864
[4] G. Liu*, and H. Yang, "Multiscale adaptive basis function modeling of spatiotemporal cardiac electrical signals," IEEE Journal of Biomedical and Health Informatics, Vol. 17, No. 2, p484-492, 2013, 10.1109/JBHI.2013.2243842
[5] H. Yang, "Multiscale recurrence quantification analysis of spatial cardiac vectorcardiogram (VCG) signals," IEEE Transactions on Biomedical Engineering, Vol. 58, No. 2, p339-347, 2011, 10.1109/TBME.2010.2063704
Nonlinear Science
[1] A. Meyers*, and H. Yang, “Cross recurrence analysis for pattern matching of multidimensional physiological signals,”
Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 30, No. 12, p123125, 2012,
10.1063/5.0030838
[2] H. Yang, C-B. Chen* and S. Kumara, “Heterogeneous recurrence analysis of spatial data,”
Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 30, No. 1, p013119, 2019,
10.1063/1.5129959
[3] C-B. Chen*, H. Yang and S. Kumara, “Recurrence network modeling and analysis of spatial data,”
Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 28, No. 8, p085714, 2018,
10.1063/1.5024917
[4] H. Yang and Y. Chen*, “Heterogeneous recurrence monitoring and control of nonlinear stochastic processes,”
Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 24, No. 1, p013138, 2014,
10.1063/1.4869306
[5] H. Yang and G. Liu*, “Self-organized topology of recurrence-based complex networks,”
Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 23, No. 4, p043116, 2013,
10.1063/1.4829877
TEACHING
IE 597 System Informatics and Control
IE 516 Applied Stochastic Processes
IE 330 Engineering Analytics
IE 323 Statistical Methods in Industrial Engineers
EGN 3443 Probability and Statistics for Engineers
ESI 6247 Statistical Design Models
ESI 5236 Reliability Engineering
ESI 4221 IndustrialStatistics and Quality Control
ESI 6934 Advanced Analytics I
PROFESSIONAL ACTIVITIES
Refree, IISE Transactions, IISE Transactions Healthcare Systems Engineering, Technometrics, Journal of Manufacturing Systems, Annuals of Operation Research, INFORMS Journal on Computing, INFORMS Journal on Service Science, Computer and Industrial Engineering, International Journal of Production Research, Quality and Reliability Engineering International, IEEE Transactions on Automation Science and Engineering, Journal of the Royal Society Interface, Proceedings of the Royal Society A: Mathematical, Physical & Engineering Science, ASME Journal of Manufacturing Science and Engineering, Chaos, Physics Review, Biophysical Journal, Physical Letters, Medical Engineering and Physics, Computers in Biology and Medicine, IEEE Access, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Industrial Informatics, IEEE Intelligent Systems, IEEE Sensors Journal, IEEE Transactions on Reliability, IEEE Transactions on Systems, Man, and Cybernetics
Editor-in-Chief, IISE Transactions Healthcare Systems Engineering
Department Editor [Health Informatics], IISE Transactions Healthcare Systems Engineering
Associate Editor, IISE Transactions, IISE Transactions Healthcare Systems Engineering, IEEE Journal of Biomedical and Health Informatics (JBHI), IEEE Robotics and Automation Letters (RA-L), IEEE Transactions on Automation Science and Engineering, Quality Technology and Quality Management
Associate Editor, IEEE Conference Proceedings (CASE, EMBC, BHI/BSN)
Editorial Board Member, Journal of Manufacturing Systems
Guest Editor, IEEE Intelligent Systems
Guest Editor, Information Systems and e-Business Management
Program Chair, IISE Annual Conference, Anaheim, CA, May 21-24, 2016
President, IISE Society of Data Analytics and Information Systems, 2017~2018
Chair, INFORMS Quality, Statistics and Reliability (QSR) section, 2015~2016
Council member, INFORMS Data Mining section, 2012~2014
Council member, INFORMS Quality, Statistics and Reliability (QSR) section, 2012~2014
Newsletter editor, INFORMS Quality, Statistics and Reliability (QSR) section, 2010~2012
Cluster Chair, Quality, Statistics and Reliability (QSR) section, 2015 INFORMS Annual Meeting
Cluster Chair, Artificial Intelligence (AI) section, 2014 INFORMS Annual Meeting
Program Chair, 2012 INFORMS Workshop on Data Mining and Health Informatics
Program Chair, 2014 INFORMS Workshop on Data Mining and Analytics
Member, American Heart Association (AHA), Institute for Industrial Engineers (IIE), American Society of Engineering Education (ASEE), The Industrial Engineering Honor Society (Alpha Pi Mu), Institute of Electrical and Electronics Engineers (IEEE), American Association for the Advancement of Science (AAAS), Amecian Society of Mechanical Engineers (ASME), Institute for Operations Research and the Management Sciences (INFORMS)
HONORS AND AWARDS
2022, Fulbright Award in Science, Technology and Innovation
2021, IISE Fellow Award
2020, Schreyer Distinguished Honors Faculty Fellow
2015, NSF CAREER Award
2015, Harold and Inge Marcus Professorship
2015, USF Outstanding Faculty Award
2015, IERC Best Paper Award, Computer and Information Systems Track, Nashville, Tennessee
2010, IERC Best Paper Award, Computer and Information Systems Track, Cancun, Mexico
2009, IERC Best Paper Award, Manufacturing and Design Track, Miami, FL
2009, Phoenix Award Finalist, Oklahoma State University
2008, Niblack Biomedical Research Fellowship, Pfizer and Oklahoma State University
2008, Distinguished Graduate Fellowship, Oklahoma State University, Stillwater
2007, NSF Travel Grant, Division of Civil, Mechanical and Manufacturing Innovation, NSF
Advised Student Honors
2022, Rui Zhu, Best Paper Award, Work Systems, IISE Annual Conference 2022
2022, Haedong Kim, Best Poster Award, NSF CHOT National IAB meeting, Louisville KY
2021, Rui Zhu, Best Paper Award, Human factors and ergonomics, IISE Annual Conference 2021
2020, Runsang Liu, NSF INTERN Scholarship, IoT and AI group at IBM Research
2020, Siqi Zhang, NSF INTERN Scholarship, IoT and AI group at IBM Research
2019, Juan Gomez Lorente, Student Marshal and Schreyer Scholar, Penn State
2018, Bing Yao, NSF Sponsored Travel Award, ASME MSEC 2018, College Station, TX, June 18-22
2018, Bing Yao, Best Poster Award, The 1st Northeast Regional Conference on Complex Systems, April 11-14
2018, Daniel Stauffer (undergraduate REU), Best Poster Award, Service Enterprise Engineering poster competition
2017, Wenxin Tong (undergraduate REU), Erickson Discovery Grant
2017, Bing Yao, NSF Sponsored Travel Award, IEEE BHI Conference, Las Vegas, NV, March 4-7, 2018
2017, Bing Yao, Winner of Best Student Paper Competition, Health Systems, IISE Annual Conference, Pittsburg, PA
2017, Cheng-Bang Chen, Best Paper Award, Computer and Information Systems, IISE Annual Conference, Pittsburg, PA
2017, Bing Yao, Winner of graduate student research poster competition, Penn State IME
2016, Bing Yao, Finalist in INFORMS MIF student poster competition, INFORMS 2016
2016, Chen Kan, Finalist in the Best Student Paper competition, QCRE, ISERC 2016
2015, Yun Chen, Best Paper Award, IIE Annual Conference 2015, Nashville, Tennessee
2014, Yun Chen and Gang Liu, Best Student Paper Finalist, IEEE CASE 2014, Taibei, Taiwan
2014, Dongping Du and Chen Kan, Entrepreneurship Lead, NSF I-Corps Team
2014, Dongping Du, Doctoral Dissertation Fellowship, University of South Florida
2014, Dongping Du, Placed 1st in the CIEADH Doctoral Colloquium competition, IIE Annual Conference
2014, Chen Kan and Dongping Du, Placed 2nd in the IIE CIS Mobile App Competition, IIE Annual Conference
2014, Gang Liu, Best Student Paper Award, IIE Annual Conference 2014
2013, Yun Chen, Graduate Student Research Challenge Grant, University of South Florida
2012, Yun Chen, SRC student scholarship, ASA Spring Research Conference, Harvard University, Cambridge, MA
2011, Dongping Du, IBM Best Student Paper Award, IEEE EMBC 2011, Boston, MA
Thanks to Sponsors
National Science Foundation (NSF) ;
National Institute of Health (NIH) ;
MxD-The Digital Manufacturing and Cybersecurity Institute ;
CESMII-The Smart Manufacturing Institute ;
National Institute of Standards and Technology (NIST);
NSF Center for e-Design;
Lockheed Martin;
General Motors;
IBM;
Susan G Koman Cancer Foundation;
Highmark;
Siemens Healthineers;
NSF Center for Health Organization Transformation;
Manufacturing PA Innovation Program;
Applied Research Lab;
Institute of Cyberscience;
James A. Haley Veterans Hospital;
Florida James and Esther King Biomedical research program