Chun-An Chou
Assistant Professor, Mechanical and Industrial Engineering
Office
- 301 SN
- 617.373.3865
Related Links
Research Focus
Mathematical Optimization, Data Mining, Machine Learning, Healthcare Analytics, Computational Neuroscience, Decision Support Systems, Complex Systems
Education
- 2011 PhD in Industrial & Systems Engineering, Rutgers University
- 2007 MS in Operations Research, Columbia University
Honors & Awards
- Research Foundation for SUNY Collaboration Fund Award, 2013
- Finalist, The INFORMS Data Mining Best Student Paper Award, 2011
- Honorable Mention, The Annual New Jersey INFORMS Student Operations Research Contest, 2009
Professional Affiliations
- INFORMS
Research Overview
Mathematical Optimization, Data Mining, Machine Learning, Healthcare Analytics, Computational Neuroscience, Decision Support Systems, Complex Systems
Mathematical Optimization modeling, Computation, and Analytics Lab
The overall mission of MOCA research lab is to develop problem-driven, data-informed decision models and computational tools, which provide not only mathematically optimal solutions but also practically explainable results for supporting decision-making in healthcare related applications. The most recent research is related to (1) Interpretable decision models and analytics (Explainable AI) for personalized health, medical diagnosis, and healthcare operations and (2) Multi-modal dynamical learning and recognition of complex systems such as human body network, brain, transportation, etc.
Selected Research Projects
- Decoding Multi-Modal Physiological Response Patterns for Assessing Post-Stroke Cognitive Impairment in VR- based Driving
- – Principal Investigator, Tufts CTSI
- Data-Driven Method for Recognizing and Learning Dynamical Systems in Computational Neuroscience
- – Principal Investigator, Burroughs Wellcome Fund CRTG Program
Department Research Areas
Selected Publications
- C.-A. Chou, Q. Cao, S.-J. Weng, C.-H. Tsai, Mixed-Integer Optimization Approach to Learning Association Rules for Unplanned ICU Transfer, Artificial Intelligence in Medicine, 13, 2020, 101806
- W. Bomela, S. Wang, C.-A. Chou, Jr-S. Li, Real-Time Inference and Detection of Disruptive EEG Network for Epileptic Seizures, Nature Scientific Reports, 10, 2020, 8653
- S. Qian, S.-C.Yen, E. Folmar, C.-A. Chou, Self-Expressive Subspace Learning to Recognize Motion Dynamics for Chronic Ankle Instability, IISE Transactions on Healthcare Systems Engineer-ing, 10(1), 2020, 60-73
- Miaolin Fan, Chun-An Chou, Detecting Abnormal Patterns of Epileptic Seizures Via Temporal Synchronization of EEG Signals, IEEE Transactions on Biomedical Engineering, 66(3), 601-608, 2019
- Chun-An Chou, Xiaoning Jin, Amy V Mueller, Sarah Ostadabbas, Multimodal Data Fusion – Moving from Domain-Specific Algorithms to Trans-Domain Understanding for Accelerated Solution Development, IEEE Sensors Letters, 3(1) 2019
- Miaolin Fan, Albert C. Yang, Jong-Ling Fuh, Chun-An Chou, Topological Pattern Recognition of Severe Alzheimer’s Disease Via Regularized Supervised Learning of EEG Complexity, Frontiers in Neuroscience, 12, Article 685, 2018
- Sina Khanmohammadi, Chun-An Chou, Adaptive Seizure Onset Detection Framework Using a Hybrid PCA-CSP Approach, IEEE Journal of Biomedical and Health Informatics, 22(1), 154-160, 2018
- Mohammad S. Tootooni, Prahalad K. Rao, Chun-An Chou, Zhenyu Kong, A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes, IEEE Transactions on Automation Science and Engineering, 15(1), 127-144, 2018
- Chun-An Chou, Tiberius O. Bonates, Chungmok Lee, W. Art Chaovalitwongse, Multi-Pattern Generation Framework for Logical Analysis of Data, Annals of Operations Research, 249(1), 329-349, 2017
- Vladimir Miskovic, Xinpei Ma, Chun-An Chou, Miaolin Fan, Max Owens, Hiroki Sayama, Brandon E. Gibb, Developmental Changes in Spontaneous Electrocortical Activity and Network Organization from Early to Late Childhood, Neuroimage, 118, 237-247, 2015
- Chun-An Chou, Kittipat Kampa, Sonya H. Mehta, Rosalia F. Tungaraza, W. Art Chaovalitwongse, Thomas J. Grabowski, Voxel Selection Framework in Multi-Voxel Pattern Analysis of fMRI Signals for Prediction of Neural Response to Visual Stimuli, IEEE Transactions on Medical Imaging, 33(4), 925-934, 2014
- Chun-An Chou, Zhe Liang, W. Art Chaovalitwongse, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Saad Sheikh, Mary V. Ashley, Isabel C. Caballero, Column Generation Framework of Nonlinear similarity Model for Reconstructing Sibling Groups, INFORMS Journal on Computing, 27(1), 35-47, 2014
May 11, 2021
Just What the Doctor Ordered
Human beings are some of the most complex systems in the world, and responses to illness, disease, and impairments manifest in countless different ways. When it comes to making sure that your system stays up and running, healthcare professionals typically have their own deep well of knowledge—but the addition of artificial intelligence tools offers unprecedented […]
Jan 08, 2020
MIE Faculty Awarded Tufts CTSI Pilot Studies Program Grant
MIE Assistant Professor Chun-An (Joe) Chou (PI), together with MIE Professor Yingzi Lin (Co-PI) and Bouve PTMRS Associate Clinical Professor Sheng-Che Yen (Co-PI), received the award from the 2020 Tufts CTSI Pilot Studies Program for the research project “Decoding Mutli-Modal Physiological Response Patterns for Assessing Post-Stroke Cognitive Impairment in VR-based Driving.”
Nov 13, 2019
Chou Featured in ISE for Research in Chronic Ankle Instability
MIE Assistant Professor Chun-An “Joe” Chou was featured in the ISE: Industrial and Systems Engineering at Work’s journal article about Research Inside IISE Journals: “Rediscovering chronic ankle instability: Gait data has map for diagnosis, treatment”.
Jun 20, 2019
Chou Awarded Burroughs Wellcome Fund Travel Grant
MIE Assistant Professor Chun-An (Joe) Chou was awarded a Collaborative Research Travel Grant from Burroughs Wellcome Fund for his research project, entitled “Data-Driven Method for Learning and Recognizing Dynamical Systems in Computational Neuroscience.” The BMF CRTG program supports academic scientists to begin and continue a collaboration to address biomedical questions.
Aug 07, 2018
2018 MMDF Workshop Report is Out
The very productive 2018 Multimodal Data Fusion (MMDF) workshop hosted in March 2018 at Northeastern resulted in insightful discussion and productive suggestions for moving the field of multimodal data fusion forward in the coming years.
Mar 23, 2017
FY18 TIER 1 Award Recipients
21 COE faculty and affiliates were recipients of FY18 TIER 1 Interdisciplinary Research Seed Grants for 12 different projects representing $600K dollars of investment in research.
Sep 01, 2016
New Faculty Spotlight: Chun-An Chou
Chun-An Chou joins the Mechanical & Industrial Engineering department in Fall 2016 as an Assistant Professor.