Books

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks Online Environmental Field Reconstruction in Space and Time Series: SpringerBriefs in Electrical and Computer Engineering Subseries: SpringerBriefs in Control, Automation and Robotics Xu, Yunfei, Choi, Jongeun, Dass, Sarat C., Maiti, Tapabrata 2016, XII, 115 p. 41 illus., 2 in color. ISBN 978-3-319-21921-9





Linear Parameter-Varying Control for Engineering Applications Series: SpringerBriefs in Electrical and Computer Engineering Subseries: SpringerBriefs in Control, Automation and Robotics White, Andrew P., Zhu, Guoming, Choi, Jongeun 2013, XII, 108 p. 32 illus., 1 in color. ISBN 978-1-4471-5039-8

Robotics and autonomous systems

Journal papers:

• Seungwoo Jeong and Jongeun Choi, "Differentiable Moving Horizon Estimation for Vehicle Kinematics via Learning Covariance Matrices", IEEE Transactions on Intelligent Vehicles, 2023.

• Joohwan Seo, Nikhil P. S. Prakash, Xiang Zhang, Changhao Wang, Jongeun Choi, Masayoshi Tomizuka1, and Roberto Horowitz "Contact-rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control", IEEE Robotics and Automation Letters, 2023.

• Jehyun Park, Jongeun Choi, Sungjae Nah, Dohee Kim, "Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations", Engineering Applications of Artificial Intelligence, Volume 123, Part C, August 2023.

• Seong Chan Jun, Gilho Lee, Heejin Yu, Yun Ji Hwang, Jin Seong, Youngmo Jung, and Jongeun Choi, "Multiplexed DNA-functionalized graphene sensor with artificial intelligence discrimination performance of chemical vapor composition", Microsystems and Nanoengineering , Volume 9, Issue 28, 2023,

• Hyeonwoo Lee, Woosuk Byun, Heecheon Lee, Yusin Kang, and Jongeun Choi, "Integration and Evaluation of an Immersive Virtual Platform", IEEE Access, Volume 11, pages 1335-1347, 2023,

• Jeong-Hoon Lee and Jongeun Choi, "Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies", IEEE Robotics and Automation Letters (RA-L), 2022, IROS2022. 

• Hwanmoo Yong, Joohwan Seo, Jaeyoung Kim, Myonghoe Kim, and Jongeun Choi, "Suspension Control Strategies Using Switched Soft Actor-Critic Models for Real Roads", IEEE Transactions on Industrial Electronics, 2022. 

• Joohwan Seo, Joonho Lee, Eunkyu Baek, Roberto Horowitz, and Jongeun Choi, "Safety-critical Control with Nonaffine Control Inputs via a Relaxed Control Barrier Function for an Autonomous Vehicle", IEEE Robotics and Automation Letters, 2022, ICRA2022. 

• Joonho Lee, Joohwan Seo, and Jongeun Choi, "Output feedback control design using Extended High-Gain Observers and dynamic inversion with projection for a small scaled helicopter", Automatica, Volume 133, November 2021. 

• Hwanmoo Yong, Joohwan Seo, Jungkyu Kim, and Jongeun Choi, "State reconstruction in a nonlinear vehicle suspension system using deep neural networks", Nonlinar Dynamics, Volume 105, Issue 1, Pages 439–455 2021. 

• Myounghoe Kim, Joohwan Seo, Mingoo Lee and Jongeun Choi, "Vision-Based Uncertainty-Aware Lane Keeping Strategy Using Deep Reinforcement Learning", Journal of Dynamic Systems, Measurement, and Control, Aug 2021, 143(8): 084503 (7 pages).  

• Joohwan Seo, Seongwon Lee, Joonho Lee, and Jongeun Choi, "Nonaffine Helicopter Control Design and Implementation Based on a Robust Explicit Nonlinear Model Predictive Control", IEEE Transactions on Control Systems Technology, 2021. 

• Kyubin Bae, Jinho Jeong, Jongeun Choi, Soonjae Pyo, and Jongbaeg Kim, "Large-Area, Crosstalk-Free, Flexible Tactile Sensor Matrix Pixelated by Mesh Layers", ACS Applied Materials and Interfaces, 2021, 13, 10, 12259–1226. 

• Jaehyun Nam, Hwanmoo Yong, Jungho Hwang, and Jongeun Choi "Training an artificial neural network for recognizing electron collision patterns", Physics Letters A, Volume 387, Issue 28, 2021. 

• Jaehyun Lim, Jehyun Park, and Jongeun Choi, "Correction to “Gaussian Process Online Learning With a Sparse Data Stream” [Oct 20 5977-5984]", IEEE Robotics and Automation Letters, Volume 6, Issue 2, April 2021, Pages 429-430. 

• Jehyun Park and Jongeun Choi, "Gaussian Process Online Learning With a Sparse Data Stream", IEEE Robotics and Automation Letters, Volume 5, Issue 4, Oct. 2020, Pages 5977-5984, IROS2022. 

• Jaehyun Lim, Seungchul Ha, and Jongeun Choi, "Prediction of Reward Functions for Deep Reinforcement Learning via Gaussian Process Regression", IEEE/ASME Transactions on Mechatronics, Volume: 25, Issue: 4, Aug. 2020, Presented in 2020 IEEE ASME International Conference on Advanced Intelligent Mechatronics (AIM). 

• Shiyi Yang, Soo Jeon, and Jongeun Choi, "Efficient Sampling for Rapid Estimation of 3D Stiffness Distribution via Active Tactile Exploration", IEEE/ASME Transactions on Mechatronics, IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2020. 

• Shiyi Yang, Soo Jeon, Jongeun Choi, "Multi-Fidelity Sampling for Fast Bayesian Shape Estimation with Tactile Exploration", IEEE Transactions on Industrial Informatics, Volume 16, Issue 7, July 2020. 

• Jehyun Park, Hwanmoo Yong, Seungchul Ha, Jisuk Lee, and Jongeun Choi, "Customer-Specific Robotic Attendant for VR Simulators", IEEE Transactions on Automation Science and Engineering, Volume: 17, Issue: 4, Oct. 2020, Page(s): 1901-1910  

• Myounghoe Kim, Seongwon Lee, Jaehyun Lim, Jongeun Choi, and Seong Gu Kang, "Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning", IEEE Access, Volume 8, 17243-17252, January, 2020. 

• Jehyun Park, Hojoon Son, Jisuk Lee, Jongeun Choi, "Driving Assistant Companion With Voice Interface Using Long Short-Term Memory Networks", IEEE Transactions on Industrial Informatics, Volume 15, Issue 1, 582-590, July, 2018. 

• Huan N. Do, Jongeun Choi, Chae Young Lim, and Tapabrata Maiti, "Appearance-Based Localization of Mobile Robots Using Group LASSO Regression", Journal of Dynamic Systems, Measurement, and Control, Volume 140, Issue 9, 2018. 

• Mahdi Jadaliha, Jinho Jeong, Yunfei Xu, Jongeun Choi, and Junghoon Kim, "Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization using Gaussian Markov Random Fields", Sensors, Volume 18, Number 9, 2018. 

• U Kei Cheang, Hoyeon Kim, Dejan Milutinovic, Jongeun Choi, Min Jun Kim, "Feedback control of an achiral robotic microswimmer", Journal of Bionic Engineering, Volume 4, Issue 2, 245-259, 2017.  

• Aqeel Madhag and Jongeun Choi, "A Distributed Navigation Strategy for Mobile Sensor Networks With the Probabilistic Wireless Links" Journal of Dynamic Systems, Measurement, and Control, Volume 139, Issue 3, 2017. 

• Huan N. Do, Mahdi Jadaliha, Mehmet Temel, and Jongeun Choi, "Fully Bayesian Field SLAM using Gaussian Markov Random Fields", Asian Journal of Control, Volume 18, Number 5, Pages 1-14, 2016. 

• Huan N. Do, Mahdi Jadaliha, Jongeun Choi, and Chae Young Lim, "Feature Selection for Position Estimation using an Omnidirectional Camera", Image and Vision Computing, Volume 39, Pages 1-9, July 2015. 

• Jongeun Choi and Dejan Milutinovic, "Tips on Stochastic Optimal Feedback Control and Bayesian Spatio-Temporal Models: Applications to Robotics", in the Special Issue on Stochastic Models, Control, and Algorithms in Robotics, Journal of Dynamic Systems, Measurement and Control, Volume 137, Issue 3, March 2015. 

• Sungjoon Choi, Mahdi Jadaliha, Jongeun Choi, and Songhwai Oh, "Distributed Gaussian Process Regression Under Localization Uncertainty", in the Special Issue on Stochastic Models, Control, and Algorithms in Robotics,  Journal of Dynamic Systems, Measurement and Control, Volume 137, Issue 3, March 2015. 

• Young-San Jeon, Jongeun Choi, and Jeong Oog Lee, "Development of a SLAM System for Small UAVs in Indoor Environments using Gaussian Processes", Journal of Institute of Control, Robotics and Systems (Korean), Volume 20, Issue 11, Pages 1-5, 2014. 

• Soo Jeon, Hyeong-Joon Ahn, and Jongeun Choi, "Scalar Sensor-Based Adaptive Manipulation for Source Seeking", International Journal of Control, Automation and Systems, Volume 12, Number 1, February 2014. 

• Yunfei Xu, Jongeun Choi, Sarat Dass, and Tapabrata Maiti, “Efficient Bayesian Spatial Prediction with Mobile Sensor Networks Using Gaussian Markov Random Fields”, Automatica, Volume 49, Issue 12, Pages 3520-3530, December 2013. 

• Mahdi Jadaliha and Jongeun Choi, “Environmental Monitoring using Autonomous Aquatic Robots: Sampling Algorithms and Experiments”, IEEE Transactions on Control Systems Technology, Volume 21, Issue 3, Pages 899-905, May 2013. 

• Mahdi Jadaliha, Yunfei Xu, Jongeun Choi, Nicholas S. Johnson, and Weiming Li, “Gaussian Process Regression for Sensor Networks under Localization Uncertainty”, IEEE Transactions on Signal Processing, Volume 61, Issue 2, Pages 223-237, January 2013. 

• Yunfei Xu and Jongeun Choi, "Stochastic Adaptive Sampling for Mobile Sensor Networks using Kernel Regression", International Journal of Control, Automation, and Systems (IJCAS),  Volume 10, Number 4, August 2012. 

• Mahdi Jadaliha, Joonho Lee, and Jongeun Choi, “Adaptive Control of Multi-Agent Systems for Finding Peaks of Uncertain Fields”, Journal of Dynamic Systems, Measurement, and Control, Voulme 134, Issue 5, Pages 051007(8), September 2012. 

• Yunfei Xu and Jongeun Choi, “Spatial Prediction with Mobile Sensor Networks Using Gaussian Processes with Built-in Gaussian Markov Random Fields”, Automatica, Volume 46, Issue 8, Pages 1735-1740, August 2012. 

• Yunfei Xu, Jongeun Choi, Sarat Dass, and Tapabrata Maiti, “Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks”, IEEE Transactions on Automatic Control, Volume 57, Issue 8, Pages 2078-2084, August 2012. 

• Yunfei Xu, Jongeun Choi , and Songhwai Oh, "Mobile Sensor Network Navigation Using Gaussian Processes with Truncated Observations", IEEE Transactions on Robotics, Volume 27, Issue 6, Pages 1118-1131, August 2011. 

• Yunfei Xu and Jongeun Choi, “Adaptive Sampling for Learning Gaussian Processes using Mobile Sensor Networks”, Special Issue on Adaptive Sensing, Sensors, Volume 11, Issue 3, Pages 3051-3066, 2011. 

• Jongeun Choi and Roberto Horowitz, "Learning Coverage Control of Mobile Sensing Agents in One-Dimensional Stochastic Environments", IEEE Transactions on Automatic Control, Volume 55, Number 3, Pages 804-809, March 2010. Technical report with Appendix   

• Jongeun Choi, Songhwai Oh, and Roberto Horowitz, "Distributed Learning and Cooperative Control for Multi-Agent Systems", Automatica, Volume 45, Issue 12, Pages 2802-2814, December 2009. 

Conference papers:

• Jiwoo Kim, Hyunwoo Ryu, Jongeun Choi, Joohwan Seo, Nikhil Potu Surya Prakash, Ruolin Li, Roberto Horowitz, “Robotic Manipulation Learning with Equivariant Descriptor Fields: Generative Modeling, Bi-equivariance, Steerability, and Locality,” in RSS 2023 Workshop on Symmetries in Robot Learning, Robotics: Science and Systems (RSS 2023) Jul 10 – Jul 14, 2023 Daegu, Republic of Korea (Best Paper Award)

• Hyunwoo Ryu, Hong-in Lee, Jeong-Hoon Lee, and Jongeun Choi, “Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning,” in The Eleventh International Conference on Learning Representations (ICLR), Monday May 1—Friday May 5 in Kigali Rwanda.

• Jaehyun Lim, Hyeonwoo Lee, and Jongeun Choi, “Nonlinear Model Predictive Control with Cost Function Scheduling for a Wheeled Mobile Robot,” in the Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 23–27, 2022 in the Kyoto International Conference Center, Kyoto, Japan.

• Jaehyun Lim, Jehyun Park, Sungjae Nah and Jongeun Choi, “Multi-output Infinite Horizon Gaussian Processes,” in the Proceedings of 2021 IEEE International Conference on Robotics and Automation (ICRA), 1542-1549.

• Hwanmoo Yong, Jisuk Lee, and Jongeun Choi, “Emotion Recognition in Gamers Wearing Head-mounted Display,” in the Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Osaka, Japan, 23-27 March 2019.

• Junbong Kim, Minki Lee, Jongeun Choi, Kisung Seo “GA-based Filter Selection for Representation in Convolutional Neural Networks,” in the Proceedings of the European Conference on Computer Vision (ECCV), The European Conference on Computer Vision (ECCV) Workshops, 2018

• Aqeel Madhag and Jongeun Choi, “Distributed navigation strategy of mobile sensor networks with probabilistic wireless communication links,” in the Proceedings of ASME Dynamic Systems and Control Conference (DSCC), October 28-30, 2015, Hilton Columbus Downtown Hotel in Columbus, Ohio, USA.

• Huan N. Do and Jongeun Choi, “Appearance-based outdoor localization using Group LASSO regression,” in the Proceedings of ASME Dynamic Systems and Control Conference (DSCC), October 28-30, 2015, Hilton Columbus Downtown Hotel in Columbus, Ohio, USA.

• Huan N. Do, Jongeun Choi, Chae Young Lim, Tapabrata Maiti, “Appearance-based localization using Group LASSO regression for an indoor experiment,” in the Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, July 7-11, 2015, Busan, Korea.

• Huan N. Do, Jogneun Choi, and Chae Young Lim, “Visual feature selection for GP-based localization using an omnidirectional camera,” in the Proceedings of the American Control Conference, July 1-3, 2015, Chicago, IL.

• U K. Cheang, Dejan Milutinovic, Jongeun Choi,  and Minjun Kim, "Towards Model-Based Control of Achiral Microswimmers," in the Proceedings of ASME Dynamic Systems and Control Conference (DSCC), October 22-24, 2014, San Antonio, Texas.

• Sungjoon Choi, Mahdi Jadaliha, Jongeun Choi, and Songhwai Oh, “Distributed Gaussian Process Regression for Mobile Sensor Networks Under Localization Uncertainty,” in the Proceedings of the 52nd IEEE Conference on Decision and Control, December 10-13, 2013 at Palazzo dei Congressi, Florence, Italy.

• Mahdi Jadaliha and Jongeun Choi, “Fully Bayesian Simultaneous Localization and Spatial Prediction Using Gaussian Markov Random Fields (GMRFs),” in the Proceedings of American Control Conference (ACC), June 17-19, 2013, Washington, DC, USA.

• Yunfei Xu, Jongeun Choi, Sarat Dass, and Taps Maiti, “A Unified Bayesian Approach for Prediction and Detection Using Mobile Sensor Networks,” in the Proceedings of the 51st IEEE Conference on Decision and Control December 10-13, 2012, Maui, Hawaii,USA.

• Mahdi Jadaliha, Yunfei Xu, and Jongeun Choi, “Efficient Spatial Prediction Using Gaussian Markov Random Fields under Uncertain Localization,” (Best Student Paper Award Finalist)  in the Proceedings of ASME Dynamic Systems and Control Conference, October 17-19, 2012, Hilton Fort Lauderdale Marina, Ft. Lauderdale, FL, USA.

• Soo Jeon and Jongeun Choi, “Cooperative Field Estimation and Tracking by Autonomous Manipulator and Mobile Robots,” in the Proceedings of ASME Dynamic Systems and Control Conference, October 17-19, 2012, Hilton Fort Lauderdale Marina, Ft.Lauderdale, FL, USA.

• Yunfei Xu, Jongeun Choi, Sarat Dass and Taps Maiti, “Efficient Bayesian Spatial Prediction with Mobile Sensor Networks Using Gaussian Markov Random Fields,”  in the Proceedings of American Control Conference (ACC), June 27 - 29, 2012 at Fairmont Queen Elizabeth in Montreal, Canada.

• Mahdi Jadaliha, Yunfei Xu and Jongeun Choi, “Gaussian process regression using Laplace approximations under localization uncertainty” in the Proceedings of American Control Conference (ACC), June 27 - 29, 2012 at Fairmont Queen Elizabeth in Montreal,Canada.

• Yunfei Xu and Jongeun Choi, “Spatial Prediction with Mobile Sensor Networks using Gaussian Markov Random Fields,” (Best Student Paper Award Finalist) in the Proceedings of ASME Dynamic Systems and Control Conference (DSCC), October 31-November 2, 2011, Arlington, VA.

• Yunfei Xu, Jongeun Choi, Sarat Dass, Taps Maiti, “Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks,”  in Proceedings of American Control Conference (ACC), San Francisco, California, USA June 29-July 1, 2011. 

• Songhwai Oh, Yunfei Xu, and Jongeun Choi, "Explorative Navigation of Mobile Sensor Networks Using Sparse Gaussian Processes," Proceedings of  the 49th IEEE Conference on Decision and Control (CDC), December 15-17, 2010, Atlanta, GA, USA.

• Songhwai Oh and Jongeun Choi, "Distributed Learning in Mobile Sensor Networks Using Cross Validation," Proceedings of the 49th IEEE Conference on Decision and Control (CDC),  December 15-17, 2010, Atlanta, GA, USA.

• Mahdi Jadaliha, Joonho Lee and Jongeun Choi, “Adaptive Control of Multi-Agent Systems for Finding Peaks of Unkonwn Fields,” Proceedings of 2010 ASME Dynamic Systems and Control Conference (DSCC), September 13-15, 2010, Cambridge, Massachusetts.

• Yunfei Xu and Jongeun Choi, "Stochastic Adaptive Sampling for Mobile Sensor Networks using Kernel Regression," Proceedings of  the American Control Conference (ACC), June 30-July 2, 2010, Baltimore, Maryland.  

• Muhannad Quwaider, Azizah Muhammad, Jongeun Choi, and Subir Biswas, "Posture-Predictive Power Control in Body Sensor Networks using  Linear-Quadratic Gaussian Control," Proceedings of the First International Conference on Networks & Communications (NetCoM-2009), Le Royal Meridien, 27-29 December 2009, Chennai, India.

• Yunfei Xu, Jongeun Choi, N. Peter Reeves, and Jacek Cholewicki "Optimal Neuromuscular Control of Spine Systems,"  Proceedings of  2009 ASME Dynamic Systems and Control Conference (DSCC),  October 12-14, 2009 Hollywood,California.

• Yunfei Xu and Jongeun Choi "Optimal coordination of mobile sensor networks using Gaussian processes," Proceedings of  2009 ASME Dynamic Systems and Control Conference (DSCC), October 12-14, 2009 Hollywood, California.

• Yunfei Xu and Jongeun Choi, “Mobile Sensor Networks for Learning Anisotropic Gaussian Processes,” Proceedings of the American Control Conference (ACC), June 10-12, 2009, St. Louis, Missouri.

• Jongeun Choi, Joonho Lee and Songhwai Oh "Biologically inspired Navigation Strategies for Swarm Intelligence using Spatial Gaussian Processes" in the Invited Session: Sensing, Estimation, Consensus and Control Over Networks, Proceedings of  the 17th International Federation of Automatic Control (IFAC) World Congress 2008. 

• Jongeun Choi, Joonho Lee and Songhwai Oh "Swarm Intelligence for Achieving the Global Maximum using Spatio-Temporal Gaussian Processes", Proceedings of the American Control Conference (ACC) 2008. movie 

• Jongeun Choi, Songhwai Oh and Roberto Horowitz, "Cooperatively Learning Mobile Agents for Gradient Climbing", Proceedings of  the 46th IEEE Conference on Decision and Control 2007. 

• Jongeun Choi and Roberto Horowitz, "Topology Preserving Neural Networks that Achieve a Prescribed Feature Map Probability Density Distribution", Proceedings of the 24th American Control Conference (ACC) June 8 to 10, 2005, Portland, Oregon, USA. a finalist for the ACC 2005 Student Best Paper Award.

Human motor control systems

Journal papers:

• Jong In Han, Jeong-Hoon Lee, Ho Seon Choi, Jung-Hoon Kim, Jongeun Choi "Policy Design for an Ankle-Foot Orthosis Using Simulated Physical Human-Robot Interaction via Deep Reinforcement Learning", IEEE Transactions on Neural Systems and Rehabilitation Engineering 2022. 

• Kyubaek Yoon, Hojun You, Wei-Ying Wu, Chae Young Lim, Jongeun Choi, Connor Boss, Ahmed Ramadan, John M. Popovich, Jacek Cholewicki, N. Peter Reeves, and Clark J. Radcliffe, "Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters: Application to Head-Neck Position Tracking", Engineering Applications of Artificial Intelligence , Volume 113, August, 2022. 

• Jacek Cholewicki, John M. Popovich Jr, N. Peter Reeves, Lisa A. DeStefano, Jacob J. Rowan, Timothy J. Francisco, Lawrence L. Prokop, Mathew A. Zatkin, Angela S. Lee, Alla Sikorskii, Pramod K. Pathak, Jongeun Choi, Clark J. Radcliffe, Ahmed Ramadan, "The effects of osteopathic manipulative treatment on pain and disability in patients with chronic neck pain: A single-blinded randomized controlled trial", PM and R, 31 October 2021. 

• N. Peter Reeves, Victor Giancarlo Sal y Rosas Celi, Ahmed Ramadan, John M.Popovich Jr., Lawrence L. Prokop Mathew A. Zatkin, Lisa A.DeStefano, Timothy J.Francisco, Jacob J.Rowan, Clark J. Radcliffe, Jongeun Choi, Nathan D.Cowdin, and Jacek Cholewicki, "Stability threshold during seated balancing is sensitive to low back pain and safe to assess", Journal of Biomechanics, Volume 125, 26, August, 2021. 

• N. Peter Reeves, Victor Giancarlo Sal y Rosas Celi, Ahmed Ramadan, John M. Popovich, Clark J. Radcliffe, Jongeun Choi, and Jacek Cholewicki, "Quantifying trunk neuromuscular control using seated balancing and stability threshold", Journal of Biomechanics, Volume 112, 9 November 2020, 110038. 

• Ahmed Ramadan, Jongeun Choi, Clark J Radcliffe, John M Popovich, N Peter Reeves, "Inferring Control Intent During Seated Balance Using Inverse Model Predictive Control", IEEE Robotics and Automation Letters, Volume 4, Issue 2, Pages 224-230, 2019. 

• Ahmed Ramadan, Jongeun Choi, Jacek Cholewicki, N Peter Reeves, John M Popovich, Clark J Radcliffe, "Feasibility of incorporating test-retest reliability and model diversity in identification of key neuromuscular pathways during head position tracking", IEEE Transactions on Neural Systems and Rehabilitation Engineering, Volume 27, Issue 2, Pages 275-281, 2019. 

• Ahmed Ramadan, Connor Boss, Jongeun Choi, N. Peter Reeves, Jacek Cholewicki, John M. Popovich Jr., and Clark J. Radcliffe, "Selecting Sensitive Parameter Subsets in Dynamical Models With Application to Biomechanical System Identification", Journal of biomechanical engineering, Volume 140, Number 7, 2018. 

• Ahsan Ijaz and Jongeun Choi, "Anomaly Detection of Electromyographic Signals", IEEE Transactions on Neural Systems and Rehabilitation Engineering, Volume 26, Issue 4, Pages 770-779, 2018. 

• John M. Popovich, Jr., N. Peter Reeves, M. Cody Priess, Jacek Cholewicki, Jongeun Choi, and Clark J. Radcliffe, "Quantitative Measures of Sagittal Plane Head-Neck Control: a Test-Retest Reliability Study", Journal of Biomechanics, Volume 48, Issue 3, Pages 549-554, February 2015. 

• Martin Cody Priess, Jongeun Choi, Clark Radcliffe, John M. Popovich Jr., Jacek Cholewicki, and N. Peter Reeves, "Time-Domain Optimal Experimental Design in Human Seated Postural Control Testing", Journal of Dynamic Systems, Measurement and Control, Volume 137, Issue 5, May 2015. Technical Report 

• Martin Cody Priess, Richard Conway, Jongeun Choi, John M. Popovich Jr., and Clark Radcliffe, "Solutions to the Inverse LQR Problem with Application to Biological Systems Analysis", IEEE Transactions on Control Systems Technology, Volume 23, Issue 2, Pages 770-777, March 2015. 

• N. Peter Reeves, John M. Popovich Jr, M. Cody Priess, Jacek Cholewicki, Jongeun Choi, and Clark J. Radcliffe, “Reliability of Assessing Trunk Motor Control using Position and Force Tracking and Stabilization Tasks”, Journal of Biomechanics,  Volume 47, Issue 1, Pages 44-49, January 2014. 

• Chris Ramsey, Jongeun Choi, Clark J. Radcliffe, Jacek Cholewicki, N. Peter Reeves, M. Cody Priess, and John M. Popovich, Jr., "Letter to the Editor: Determination of Body Segment Masses and Centers of Mass using a Force Plate Method", Medical Engineering and Physics, Volume 36, Issue 6, Pages 805-806, June 2014. 

• Yunfei Xu, Jongeun Choi, N. Peter Reeves, and Jacek Cholewicki, "Optimal Control of Spine Systems", Journal of Biomechanical Engineering, Volume 132, Issue 5, March 2010. 

Conference papers:

• Ahmed Ramadan, Jongeun Choi, Clark Radcliffe, "Inverse MPC Intent-Inferring of Human Subjects in Motor Control Tasks,” in the Proceedings of the American Control Conference, July 6-8, 2016, Boston, MA, USA.

• Martin Cody Priess, Jongeun Choi, Clark Radcliffe, "The Inverse Problem of Continuous-Time Linear Quadratic Gaussian Control with Application to Biological Systems Analysis," in the Proceedings of ASME Dynamic Systems and Control Conference (DSCC), October 22-24, 2014, San Antonio, Texas.

• Martin Cody Priess, Jongeun Choi, Clark Radcliffe, John M. Popovich Jr., Jacek Cholewicki, N. Peter Reeves, "Time-Domain Optimal Experimental Design in Human Postural Control Testing," in the Proceedings of the 17th U.S. National Congress on Theoretical & Applied Mechanics, June 15-20, 2014, East Lansing, MI.

• Norman Peter Reeves, John Popovich Jr., Martin Cody Priess, Jacek Cholewicki,  Jongeun Choi, and  Clark Radcliffe, "Reliability of assessing trunk motor control using position and force tracking and stabilization tasks," in the Proceedings of the 17th U.S. National Congress on Theoretical & Applied Mechanics, June 15-20, 2014, East Lansing, MI.

• John Michael Popovich, Jr., Norman Peter Reeves, Martin Cody Priess, Jacek Cholewicki, Jongeun Choi, and Clark J. Radcliffe, "Quantitative measures of head-neck motor control: test-retest reliability," in the Proceedings of the 17th U.S. National Congress on Theoretical & Applied Mechanics, June 15-20, 2014, East Lansing, MI.

• Martin Cody Priess, Jongeun Choi, Clark Radcliffe, John M. Popovich Jr., Jacek Cholewicki, N. Peter Reeves, “Time-Domain Optimal Experimental Design in Human Postural Control Testing," in the Proceedings of American Control Conference June 04-June 06, 2014.

• Martin Cody Priess, Jongeun Choi, Clark J. Radcliffe, “Determining Human Control Intent using Inverse LQR Solutions,” in the Proceedings of ASME Dynamic Systems and Control Conference (DSCC), Stanford University, Munger Center, Palo Alto, CA, October 21-23, 2013.

• Martin Cody Priess, Jongeun Choi, Kyle Crayne, John Popovich, Norman Peter Reeves, Jacek Cholewicki, and Clark J. Radcliffe, “Robust Optimal Experimental Design for Study of the Human Head-Neck Tracking Response,” in the Proceedings of ASME Dynamic Systems and Control Conference, October 17-19, 2012, Hilton Fort Lauderdale Marina, Ft. Lauderdale, FL, USA.

• Martin Cody Priess, Clark Radcliffe, and Jongeun Choi, "Application of Image Distortion Compensation to a Firearm Simulation Environment," Proceedings of 2010 ASME Dynamic Systems and Control Conference (DSCC), September 13-15, 2010, Cambridge, Massachusetts.

AI in Healthcare

Journal papers:

• Kyubaek Yoon, Hye-Min Jeong, Jin-Woo Kim, Jung-Hyun Park, and Jongeun Choi, "AI-Based Dental Caries and Tooth Number Detection in Intraoral Photos: Model Development and Performance Evaluation", Journal of Dentistry, 2023.

• Bogyeong Suh, Heejin Yu, Hyeyeon Kim, Sanghwa Lee, Sunghye Kong, Jin-Woo Kim, and Jongeun Choi, "Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation", Journal of Medical Internet Research, Volume 25 2023. 

• Kyubaek Yoon, Jae-Young Kim, Sun-Jong Kim, Jong-Ki Huh, Jin-Woo Kim, and Jongeun Choi, "Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement", Computer Methods and Programs in Biomedicine, Volume 233, May 2023, 107465. 

• Jinho Jeong, Kidon Chang, Jisuk Lee and Jongeun Choi, "A warning system for urolithiasis via retrograde intrarenal surgery using machine learning: an experimental study", BMC Urology, June 6, 2022. 

• Susie Ryu, Jun Hong Kim, Heejin Yu, Hwi-Dong Jung, Suk Won Chang, Jeong Jin Park, Soonhyuk Hong, Hyung-Ju Cho, Yoon Jeong Choi, Jongeun Choi, Joon Sang Lee, "Diagnosis of obstructive sleep apnea with prediction of flow characteristics according to airway morphology automatically extracted from medical images: Computational fluid dynamics and artificial intelligence approach", Computer Methods and Programs in Biomedicine, Volume 208, September 2021. 

• Kyubin Bae, Jinho Jeong, Jongeun Choi, Soonjae Pyo, and Jongbaeg Kim, "Large-Area, Crosstalk-Free, Flexible Tactile Sensor Matrix Pixelated by Mesh Layers", ACS Applied Materials and Interfaces, Volume 13, No 10, pages 12259-12267 2021. 

• Zhenxiang Jiang, Jongeun Choi, and Seungik Baek, "Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications", Computers in Biology and Medicine, Volume 133, June 2021. 

• Susie Ryu, Jun Hong Kim, Heejin Yu, Hwi-Dong Jung, Suk Won Chang, Jeong Jin Park, Soonhyuk Hong, Hyung-Ju Cho, Yoon Jeong Choi, Jongeun Choi, and Joon Sang Lee, "Diagnosis of obstructive sleep apnea with prediction of flow characteristics according to airway morphology automatically extracted from medical images: Computational fluid dynamics and artificial intelligence approach", Computer Methods and Programs in Biomedicine, Volume 208, September 2021. 

• Jeong-Hoon Lee, Hee-Jin Yu, Min-ji Kim, Jin-Woo Kim, Jongeun Choi, "Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks", BMC Oral Health, Volume 20 Number 1 Pages 270 2020. 

• Yu, Hee-Jin, Cho, S. R., Kim, M. J., Kim, W. H., Kim, Jin-Woo,Jongeun Choi, "Automated Skeletal Classification with Lateral Cephalometry Based on Artificial Intelligence", Journal of Dental Research, 99(3), pages 249–256, 2020. 

• Young Woo Kim, Hee-Jin Yu, Jung-Sun Kim, Jinyong Ha, Jongeun Choi, Joon Sang Lee, "Coronary artery decision algorithm trained by two-step machine learning algorithm", Royal Society of Chemistry, 10, pages 4014–4022, 2020. 

• Zhenxiang Jiang, Huan N. Do, Jongeun Choi, Whal Lee and Seungik Baek, "A Deep Learning Approach to Predict Abdominal Aortic Aneurysm Expansion Using Longitudinal Data", Frontiers in Physics: Research Topic on Machine Learning Applications for Physics-Based Computational Models of Biological Systems, 7, Article 235, 2020. 

• Yingjie Li, Liangliang Zhang, Andrea Bozoki, David C. Zhu, Jongeun Choi, Taps Maiti, "Early prediction of Alzheimer’s disease using longitudinal volumetric MRI data from ADNI", Health Services and Outcomes Research Methodology, 20, pages 13–39, 2020. 

• Liangliang Zhang, Zhenxiang Jiang, Jongeun Choi, Chae Young Lim, Tapabrata Maiti, Seungik Baek, "Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion using Bayesian Calibration", IEEE Journal of Biomedical and Health Informatics, 23(6), pages 2537-2550 2019. 

• Huan N. Do, Ahsan Ijaz, Hamidreza Gharahi, Byron Zambrano, Jongeun Choi, Whal Lee, and Seungik Baek, "Prediction of Abdominal Aortic Aneurysm Growth using Dynamical Gaussian Process Implicit Surface", IEEE Transactions on Biomedical Engineering, 66(3), pages 609-622, 2018. 

• Liangliang Zhang, Chae Young Lim, Tapabrata Maiti, Yingjie Li, Jongeun Choi, Andrea Bozoki, and David C. Zhu, "Analysis of Conversion of Alzheimer’s Disease using a Multi-State Markov Model", Statistical methods in medical research, 28(9), 2901-2819, 2019. 

• Byron A. Zambrano, Hamidreza Gharahi, Jongeun Choi, Whal Lee, and Seungik Baek, "Association of Intraluminal Thrombus, Hemodynamic Forces, and Abdominal Aortic Aneurysm Expansion using Longitudinal CT Images", Annals of Biomedical Engineering, in press, 2015. 

• Sajjad Seyedsalehi, Liangliang Zhang, Jongeun Choi, and Seungik Baek, "Prior Distributions of Material Parameters for Bayesian Calibration of Growth and Remodeling Computational Model of Abdominal Aortic Wall", Journal of Biomechanical Engineering, Volume 137, October 2015. 

• Mehdi Farsad, Shahrokh Zeinali-Davarani, Seungik Baek, and Jongeun Choi, "Computational Growth and Remodeling of Abdominal Aortic Aneurysms Contsrained by the Spine", Journal of Biomechanical Engineering, Volume 137, September 2015. 

• Hamidreza Gharahi, Byron A. Zambrano, Chae Young Lim, Jongeun Choi, Whal Lee, and Seungik Baek, "On Growth Measurements of Abdominal Aortic Aneurysm using Maximally Inscribed Sphere", Medical Engineering & Physics, Volume 37, Issue 7, Pages 683-691, July 2015. 

• Shahrokh Zeinali-Davarani,Jongeun Choi, and Seungik Baek, “On Parameter Estimation for Biaxial Mechanical Behavior of Arteries”, Journal of Biomechanics, Volume 42, Issue 4, Pages 524-530, March 2009.   

Conference papers:

• Seungik Baek, Liangliang Zhang, Sajjad Seyedsalehi, Jongeun Choi, Chae Young Lim, and Tapabrata Maiti, “Bayesian Calibration of A Growth And Remodeling Computational Model of Abdominal Aortic Aneurysms,” in the Proceedings of the 2015 Summer Biomechanics, Bioengineering and Biotransport Conference (SB3C2015), June 17-20, 2015, Snowbird, Utah.

• H. Gharahi, B. Zambrano, C.-Y. Lim, Jongeun Choi, W. Lee, S. Baek, "An alternative method to measure the diameter of abdominal aortic aneurysms using maximally inscribed spheres," BMES Conference,  San Antonio, Oct. 25, 2014.

• S. Seyedsalehi, L. Zhang, Jongeun Choi, Seungik Baek, "Prior distribution of material parameters for a computational model of the abdominal aorta," BMES Conference,  San Antonio, Oct. 25, 2014.

• S. Baek, B.A. Zambrano, Jongeun Choi, C-Y Lim, "Growth prediction of abdominal aortic aneurysms and its association of intraluminal thrombus," WCCM, Barcelona, Spain, July 21, 2014.

• S. Baek, Jongeun Choi, "Growth and remodeling model of abdominal aortic aneurysm: Toward clinical applications," WCB, Boston, July 8, 2014.

• B. A. Zambrano, Jongeun Choi, S. Baek, "Effect of Intraluminal thrombus in abdiminal aortic aneurysm expansion: A longitudinal patient study," BMES, Seattle, Sept. 25, 2013.

• Ahsan Ijaz, Jongeun Choi, Whal Lee, Seungik Baek, “Prediction of abdominal aortic aneurysms using sparse Gaussian Process regression,” in the Proceedings of the ASME2013 Summer Bioengineering Conference, Sunriver, Oregon, June 26-29, 2013.

Control theory and its applications

Journal papers:

• Seongwon Lee, Joowhan Seo, Joonho Lee, Connor Boss, and Jongeun Choi, "Output feedback control design for quadrotor using recursive least square dynamic inversion", Mechatronics , Volume 92, June 2023, 102981. 

• Dong Eui Chang, Karmvir Singh Phogat, and Jongeun Choi, "Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding into Euclidean Space", IEEE Transactions on Automatic Control, Volume 65, Issue 7, July 2020, Page 3191-3198. 

• Ali Khudhair Al-Jiboory, Guoming G. Zhu, and Jongeun Choi, "Guaranteed Performance Gain Scheduling Control with Uncertain Scheduling Parameters", Journal of Dynamic Systems, Measurement and Control, Volume 138, Issue 1, October 2015. 

• Andrew White, George Zhu, and Jongeun Choi, "Optimal LPV control with Hard Constraints", International Journal of Control, Automation and Systems, Volume 14, Issue 1, Pages 148-162, February 2016. 

• Ali Khudhair Al-Jiboory, Andrew Whilte, Shupeng Zhang, Guoming G. Zhu, and Jongeun Choi, "Linear Matrix Inequalities Approach to Input Covariance Constraint Control With Application to Electronic Throttle", Journal of Dynamic Systems, Measurement and Control, Volume 137, Issue 9, September 2015. 

• Andrew White, Zhen Ren, Guoming Zhu, and Jongeun Choi, “Mixed H2/Hinf Observer-Based LPV Control of a Hydraulic Engine Cam Phasing Actuator”, IEEE Transactions on Control Systems Technology, Volume 21, Issue 1, Pages 229-238, January 2013. 

• Andrew White, Guoming Zhu, and Jongeun Choi, “Hardware-in-the-Loop Simulation of Robust Gain-Scheduling Control of Port-Fuel-Injection Processes”, IEEE Transactions on Control Systems Technology, Volume 19, Number 6, Pages 1433-1443, November 2011. 

• Andrew White, Jongeun Choi, Ryozo Nagamune, and Guoming Zhu, "Gain-Scheduling Control of Port-Fuel-Injection Processes", Control Engineering Practice, Volume 19, Issue 4, Pages 380-394, April 2011. 

• Richard Conway, Jongeun Choi, Ryozo Nagamune, and Roberto Horowitz "Robust Track-Following Controller Design in Hard Disk Drives based on Parameter Dependent Lyapunov Functions", IEEE Transactions on Magnetics, Volume 46, Number 4, Pages 1060-1068, April 2010. 

• Jongeun Choi, Ryozo Nagamune, and Roberto Horowitz, "Multiple Robust Track-Following Controller Design in Hard Disk Drives", the Special Issue on Intelligent Control and Its Applications to Hard Disk Drives for the International Journal of Adaptive Control and Signal Processing 2008, Volume 22, Number 4, Pages 359-373, Published online 22 August 2007. 

• Si-Hyung Lim, Jongeun Choi, Roberto Horowitz, and Arunava Majumdar, "Design and Fabrication of a Novel Bimorph Micro-Opto-Mechanical Sensor", Journal of Microelectromechanical Systems, Volume 14, Number 4, Pages 683-690, August 2005. 

• Jongeun Choi, Yamaguchi J, Morales S, Horowitz R, Yang Zhao, and Majumdar A., "Design and Control of a Thermal Stabilizing System for a MEMS Optomechanical Uncooled Infrared Imaging Camera", Sensors and Actuators A-Physical, Volume 104, Issue 2, Pages 132-142, April 2003.

Conference papers:

• Joonho Lee, Jongeun Choi, and Hassan K. Khalil, “New Implementation of High-Gain Observers in the Presence of Measurement Noise Using Stochastic Approximation,” in the Proceedings of the 15th European Control Conference (ECC16), Aalborg, Denmark June 29-July 1, 2016.

• Joonho Lee and Jongeun Choi, “Output feedback control design for quadrotors in the presence of uncertainties,” in the Proceedings of ASME Dynamic Systems and Control Conference (DSCC), October 28-30, 2015, Hilton Columbus Downtown Hotel in Columbus, Ohio, USA.

• Joonho Lee and Jongeun Choi, “Stabilization of inverted pendulum on a cart in the presence of uncertainties,” in the Proceedings of ASME Dynamic Systems and Control Conference (DSCC), October 28-30, 2015, Hilton Columbus Downtown Hotel in Columbus, Ohio, USA.

• Andrew White, Guoming Zhu, Jongeun Choi, “A Linear Matrix Inequality Solution to the Input Covariance Constraint Control Problem,” in the Proceedings of ASME Dynamic Systems and Control Conference (DSCC), Stanford University, Munger Center, Palo Alto, CA, October 21-23, 2013.

• Andrew White, Guoming Zhu, and Jongeun Choi, “Guaranteed l2 to linf Control for Discrete-Time Polytopic LPV Systems,” in the Proceedings of American Control Conference (ACC), June 17-19, 2013, Washington, DC, USA.
  

• Andrew White, Guoming Zhu, and Jongeun Choi, “Dynamic, Output-Feedback, Gain-Scheduling Control of an Electric Variable Valve Timing System,” in the Proceedings of American Control Conference (ACC), June 17-19, 2013, Washington, DC,USA.

• Andrew White, Guoming Zhu, and Jongeun Choi, “A Linear Matrix Inequality Solution to the Output Covariance Constraint Control Problem,” in the Proceedings of ASME Dynamic Systems and Control Conference, October 17-19, 2012, Hilton Fort Lauderdale Marina, Ft. Lauderdale, FL, USA.

•  Andrew White, Zhen Ren, Guoming Zhu and Jongeun Choi, “ Mixed H2/Hinf Observer-based LPV control of a Hydraulic Engine Cam Phasing Actuator,”  in the Proceedings of ASME Dynamic Systems and Control Conference (DSCC), October 31-November 2, 2011, Arlington, VA. 

•  Andrew White, Jongeun Choi, Guoming Zhu, “Dynamic Gain-Scheduling Controller Design for Port-Fuel-Injection Processes,”  in Proceedings of American Control Conference (ACC), San Francisco, California, USA June 29-July 1, 2011. 

•  Andrew White, Guoming Zhu and Jongeun Choi, “Hardware-In-the-Loop Simulation of Robust Gain-Scheduling Control of Port-Fuel-Injection Processes,” Proceedings of  2010 ASME Dynamic Systems and Control Conference (DSCC), September 13-15, 2010, Cambridge, Massachusetts.

•  Andrew White, Jongeun Choi, Ryozo Nagamune, Guoming Zhu, "Gain-Scheduling Control of Port-Fuel-Injection Processes." Proceedings of the American Control Conference (ACC), June 30-July 2, 2010, Baltimore, Maryland.  
  

• Jongeun Choi, Ryozo Nagamune and Roberto Horowitz, "Multiple Robust Controller Design based on Parameter Dependent Lyapunov Functions." Proceedings of the 17th International Symposium on Mathematical Theory of Networks and Systems (MTNS), Kyoto, Japan, July 24-28, 2006.

• Leonardo Contreras, Richard Conway, Sarah Felix, Jongeun Choi and Roberto Horowitz, "An Objective Oriented Framework for the Synthesis of Robust Multi-rate Controllers for Hard Disk Drives (HDD)", Proceedings of the 10th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI) 2006, Orlando, Florida, July 16-19, 2006. 

• Jongeun Choi, Ryozo Nagamune and Roberto Horowitz, "Synthesis of Multiple Robust Controllers for Parametric Uncertain LTI Systems", Proceedings of the 25th American Control Conference (ACC) June 14 to 16, 2006, Minneapolis, Minnesota, USA. 

• Yang Zhao, Jongeun Choi, Horowitz R, Majumdar A, Kitching J, Norton PR., "Characterization and performance of optomechanical uncooled infrared imaging system", SPIE-Int. Soc. Opt. Eng. Proceedings of Spie - the International Society for Optical Engineering, vol.4820, 2003, pp.164-74. USA. 

• Jongeun Choi, J. Yamaguchi, S. Morales, R. Horowitz, Y. Zhao, A. Majumdar and P. Norton, "Design And Control Of A Thermal Stabilizing System For An Optomechanical Uncooled Infrared Imaging Camera.", Proceedings of the 15th Triennial World Congress of the International Federation of Automatic Control, Barcelona, Spain, July 21-26, 2002. 

Parameter estimation and system identification

Journal papers:

• Jongeun Choi, Soo Jeon, Nicholas S. Johnson, Cory O. Brant, and Weiming Li, "Odor-Conditioned Rheotaxis of the Sea Lamprey: Modeling, Analysis, and Validation", Bioinspiration & Biomimetics, Volume 8, Number 4, Pages 046011(9), 2013. 

• Yu-Wen Chung-Davidson, M. Cody Priess, Chu-Yin Yeh, Cory O. Brant, Nicholas S. Johnson, Ke Li, Kaben G. Nanlohy, Mara B. Bryan, C. Titus Brown, Jongeun Choi, and Weiming Li, “A Thermogenic Secondary Sexual Character in Male Sea Lamprey”, Journal of Experimental Biology, Volume 216, Issue 14, Pages 2702-2712, July 2013. 

• Nicholas S. Johnson, Azizah Muhammad, Henry Thompson, Jongeun Choi, and Weiming Li, "Sea Lamprey Orient Toward a Source of a Synthesized Pheromone using Odour-Conditioned Rheotaxis", Behavioral Ecology and Sociobiology, Volume 66, Issue 12, Pages 1557-1567, December 2012. 

• Jongeun Choi and Jung-Wuk Hong, "Characterization of Wavelet Coefficients for Ultrasonic Signals", Journal of Applied Physics, Volume 107, Issue 11, 2010. 

• Andrew White, Jung-Wuk Hong, Soonsung Hong, and Jongeun Choi, "Parameter Estimation for Wavelet Transformed Ultrasonic Signals", NDT & E International, Volume 44, Issue 1, Pages 32-40, January 2011. 

• Jongeun Choi and L. Guy Raguin, "Robust Optimal Design of Diffusion-Weighted Magnetic Resonance Experiments for Skin Microcirculation", Journal of Magnetic Resonance, Volume 206, Issue 2, Pages 246-254, October 2010. 

• Ryozo Nagamune and Jongeun Choi, "Parameter Reduction of Estimated Model Sets for Robust Control", Journal of Dynamic Systems, Measurement, and Control, Volume 132, Issue 2, Pages 021002(10), March 2010. 

Conference papers:

• Alejandro Diaz, Jongeun Choi, Tomas Holt, Steven Chermak and Joshua Freilich, "Data- driven system identification of the social network dynamics in online postings of an extremist group," in the Proceedings of the 4th International Conference on Cybercrime and Computer Forensics, Simon Fraser University, Vancouver, Canada, 12-14 June 2016.

• Ahsan Ijaz, Jongeun Choi, "Tracking Heteroscedastic Progression of Opinions with an Aggregation Bias Correction Model," in the Proceedings of the 10th international Conference on Semantic Computing, Laguna Hills, California, February 3-5, 2016.

• Jongeun Choi, Soo Jeon, Nicholas Johnson, Cory Brant, and Weiming Li, "Modeling and analysis for odor-conditioned rheotaxis of the sea lamprey," in the Proceedings of the 17th U.S. National Congress on Theoretical & Applied Mechanics, June 15-20,2014, East Lansing, MI. 

• Ryozo Nagamune and Jongeun Choi “Parameter Reduction of Nonlinear Least-Squares Estimates via Nonconvex Optimization”, in the Proceedings of the American Control Conference (ACC) 2008.

• Ryozo Nagamune and Jongeun Choi "Parameter Reduction of Nonlinear Least-Squares Estimates via Singular Value Decomposition", in the Proceedings of the 17th International Federation of Automatic Control (IFAC) World Congress 2008. 

• Gael Cordier, Jongeun Choi and Guy Raguin "Evaluation of Three Inverse Problem Models to Quantify Skin Microcirculation Using Diffusion-Weighted MRI", in the Scientific Committee of the 6th International Conference on Inverse Problems in Engineering: Theory and Practice (ICIPE 2008), in Dourdan (Paris), France on June 15-19, 2008. This paper appears in Journal of Physics: Conference Series. Vol. 135. No. 1. IOP Publishing, 2008.

• Emily Wandell, Nicholas Beechnau, William Smits, Seungik Baek, Jongeun Choi, Mark de Zee, and Tamara Reid Bush, "Computer model analysis of cervical lateral function forsymmetric and asymmetric/symptomatic subject groups", World Congress on Neck Pain. January 20 - 22, 2008 at The Hyatt Regency Century Plaza Los Angeles, California. Oral and Poster Presentations.

Patents and Invention Disclosures

• Jongeun Choi, Martin Cody Priess, Clark Radcliffe, Jacek Cholewicki, N. Peter Reeves, and John M. Popovich Jr., TECHNIQUE FOR PRODUCING OPTIMAL INPUT PERTURBATION SEQUENCE FOR SEATED POSTURAL CONTROL TESTING, U.S. Serial No. 62/170,509 HDP Ref. No. 6550-000278-US-PS1.

• Clark Radcliffe, Jacek Cholewicki, N. Peter Reeves, Jongeun Choi, and Martin Cody Priess, “Enhanced Maximum Stabilizing Torque for Rotary Actuators,” TEC2015-0117, MSU Technologies, 2015.

• Jongeun Choi, Taiwoo Park, Jacek Cholewicki, N. Peter Reeves, Ahmed Ramadan, and Martin Cody Priess, “Gamification of Assessing and Shaping Motor Control: Patient-Specific Rehabilitation for People with Motor Control Impairment,” TEC2015-0103, MSU Technologies, 2015.

• Jongeun Choi, Martin Cody Priess, Clark Radcliffe, Jacek Cholewicki, N. Peter Reeves, and John M. Popovich Jr., “Robotic Chair and Control Algorithms for Producing Optimal Input Perturbation Sequences to Maximize the Quality of the Human System Parameter Estimates,” TEC2015-0101, MSU Technologies, 2015.

• Mehdi Farsad, Jongeun Choi, Seungik Back, “A Growth and Remodeling Software to Account for the Effect of Interacting with Spine on AAA’s Expansion,” TEC2014-0039, MSU Technologies, 2013.

• Si-Hyung Lim, Jongeun Choi, Roberto Horowitz, and Arunava Majumdar, "Improved Design for Bi-Material Thermo MEMS Sensors and Actuators", Non-Confidential Disclosure B03-061,  2003. The Office of Technology Licensing, University of California at Berkeley filed this disclosure (B03-061) 2004. U.S. Provisional Patent Application No. 60/621,170, October 21, 2004.