Chun-An Chou

Assistant Professor,  Mechanical and Industrial Engineering


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  • 301 SN
  • 617.373.3865

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Research Focus

Mathematical Optimization, Data Mining, Machine Learning, Healthcare Analytics, Computational Neuroscience, Decision Support Systems


  • 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


Research Overview

Mathematical Optimization, Data Mining, Machine Learning, Healthcare Analytics, Computational Neuroscience, Decision Support 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 for supporting decision-making in various applications such as healthcare. The most recent research is related to (1) Interpretable decision models and analytics for personalized health, medical diagnosis, and healthcare operations and (2) Multi-modal dynamical learning and recognition (Explainable AI) of complex systems such as human body network, brain, transportation, etc.


Selected Research Projects

Selected Publications

  • Haidong Gu, Chun-An Chou, Optimizing Non-Uniform Multivariate Embedding for Multi-Scale Entropy Analysis of Complex Systems, Biomedical Signal Processing and Control, 2022
  • Yilin Yin, Chun-An Chou, A Novel Switching State Space Model for Post-ICU Mortality Prediction and Survival Analysis, IEEE Journal of Biomedical and Health Informatics, 2021

  • Ruilin Ouyang, Chun-An Chou, Integrated Optimization Model and Algorithm for Pattern Generation and Selection in Logical Analysis of Data, Computers & Operations Research, 105049, 2020

  • 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 Engineering, 10(1), 2020, 60-73 (Featured Research Article in 2019 November Issue of ISE Magazine)
  • Lei Zhou, Zhe Liang, Chun-An Chou, Wanpracha Art Chaovalitwongse (2020). Airline planning and scheduling: Models and solution methodologies. Frontiers of Engineering Management, 7(1),1-26. 10.1007/S42524-020-0093-5
  • Tsai, Jeffrey Che-Hung, Weng, Shao-Jen, Liu, Shih-Chia, Tsai, Yao-Te, Gotcher, Donald F., Chen, Chih-Hao, Chou, Chun-An, Kim, Seung-Hwan (2020). Adjusting Daily Inpatient Bed Allocation to Smooth Emergency Department Occupancy Variation. Healthcare, 8(2),78. 10.3390/HEALTHCARE8020078
  • 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
  • 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
chun-an "joe" chou


Nov 01, 2021

INFORMS Data Mining Chair-Elect

MIE Assistant Professor Chun-An Chou was nominated and voted as Chair-Elect of the INFORMS Section on Data Mining. The Data Mining Section is one of large INFORMS communities in the fields of operations research, management science, and analytics.

abstract photo of women doctor pointing to tablet with medical imagery around it


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 […]

chun-an "joe" chou


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.”

chun-an "joe" chou


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.

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