Publications

Books

• Kwon, Jaerock. Windows 95 Communication Programming (Korean), ISBN 10 – 8983540079, ISBN 13 – 9788983540072, Hancom Press, 529 pages, June 1997 (code)
• Kwon, Jaerock. The Korean Alphabet Input and Output System (Korean), ISBN 10 – 8931542593, ISBN 13 – 9788931542592, Seongandang Press, 1996 (code)
• Kwon, J., Chung, S., and Lee, B. Visual Basic 6, from the GROUND UP (translated English to Korean edition), ISBN 10 – 8988723015, ISBN 13 – 9788988723012, Gary Cornell, McGraw-Hill1998, 1095 pages.

Thesis and Dissertation

• Jesudara Omidokun, “Design and Implementation of an Autonomous Driving System with a Deep Learning Approach on a Scaled Vehicle Platform,” Master’s Thesis, University of Michigan-Dearborn, 2022 (code)
• Ahmed Abdelhamed, “Software-In-the-Loop Sensor Fusion Model Using LIDAR and Camera for Detecting and Classifying Obstacles,” Master’s Thesis, Kettering University, 2020
• Akanksha Ashwini, “IEROM Image Processing Pipeline and 3D Real-Time Interactive Visualization Methods for Teravoxel Volumes,” Master’s Thesis, Kettering University, 2020
• Ninad Doshi, “An Approach to Integrate LSTM with CNN and Comparative Analysis of Different Behavioral Cloning Approaches for Autonomous Vehicles,” Master’s Thesis, Kettering University, 2019
• Nikhil Prabhu, “Traffic Sign Detection in Gazebo Simulation Environment Using YOLOv3,” Master’s Thesis, Kettering University, 2019
• Mohamed Fasil Syed Ahamed, “Design and Evaluation of Software-In-the-Loop Modeling and Simulation Framework for Autonomous Vehicles,” Master’s Thesis, Kettering University, 2019
• Li Dang, “A Study of Autonomous Driving with ROS,” Master’s Thesis, Kettering University, 2017
• Shruthi Raghavan, “Acquisition and Analysis of Mouse Brain Vasculature,” Master’s Thesis, Kettering University, 2016
• Joingil Lim, “Design and Implementation of a Network Robotics Framework Using a Smartphone Based Robotics Platform,” Master’s Thesis, Kettering University, 2015
• Kwon, J., “Acquisition and Mining of the Whole Mouse Brain Microstructure,” Ph.D. dissertation, Department of Computer Science, Texas A&M University, College Station, TX, 2009
• Kwon, J., “Design and Implementation of a Korean Language Generator using Feature Structures,” Master’s thesis, Electronic Communication Engineering Department, Hanyang University, Seoul, Korea, 1994

Journal Articles

• Feeza Khan Khanzada, Elahe Delavari, Woojin Jeong, Young Seek Cho, Jaerock Kwon, “Comparative Study on Simulated Outdoor Navigations for Agricultural Robots,” MDPI Sensors, 2024
• Aydin Zaboli, Junho Hong, Jaerock Kwon, John Moore, “A Survey on Cyber-Physical Security of Autonomous Vehicles Using a Context Awareness Method,” IEEE Access, 2023
• Donghyun Kim, Aws Khalil, Haewoon Nam, Jaerock Kwon, “OPEMI: Online Performance Evaluation Metrics Index for Deep Learning-Based Autonomous Vehicles,” IEEE Access, 2023
• Subhadip Ghosh, Aydin Zaboli, Junho Hong, Jaerock Kwon, “An Integrated Approach of Threat Analysis for Autonomous Vehicles Perception System, ” IEEE Access, 2023
• Jaerock Kwon, Aws Khalil, Donghyun Kim, Haewoon Nam, “Incremental End-to-End Learning for Lateral Control in Autonomous Driving,” IEEE Access, 2022.
• Junho Hong, Yong-Hwa Kim, Hong Nhung-Nguyen, Hyojong Lee, Jaerock Kwon, “Deep-Learning Based Fault Events Analysis in Power Systems,” MDPI Energies, Special Issue “Artificial Intelligence for Power Electronics and Energy Systems Applications,” 2022
• Gyouho Cho, Mengqi Wang, Youngki Kim, Jaerock Kwon, Wencong Su, “A Physics-Informed Machine Learning Approach for Estimating Lithium-Ion Battery Temperature,” IEEE Access, 2022.
• Aws Khalil, Ahmed Abdelhamed, Girma Tewolde, Jaerock Kwon, “Ridon Vehicle: Drive-by-Wire System for Scaled Vehicle Platform and Its Application on Behavior Cloning,” MDPI Energies, Special Issue “Autonomous Vehicles Perception and Control,” 2021.
• Young Seek Cho, Kyungjoon Choi, Jaerock Kwon, “Self-sustainable wireless sensor network for low temperature application,” Microwave and Optical Technology Letters, 2021
• Jaerock Kwon, Jehyung Lee, Yunju Lee, “Comparative Study of Markerless Vision-based Gait Analyses for Person Re-identification,” MDPI Sensors, 2021
• Dajeong Park, Seok-Ju Lee, Jaerock Kwon, Seyeong Choi, Localization of Mobile Robot Based on Artificial Landmark, The Journal of Korean Institute of Communications and Information Sciences 45(12):2150-2153 DOI: 10.7840/kics.2020.45.12.2150, December 2020
• Jongil Lim, Girma Tewolde, Jaerock Kwon, Seyeong Choi, “Design and Implementation of a Network Robotic Framework Using a Smartphone-Based Platform,” IEEE Access, 2019
• Jongil Lim, SeokJu Lee, Girma Tewolde, Jaerock Kwon, Indoor Localization and Navigation for a Mobile Robot Equipped with Rotating Ultrasonic Sensors Using a Smartphone as the Robot’s Brain, International Journal of Handheld Computing Research (IJHCR) Volume 7, Issue 1, January – March 2016
• Seok-Ju Lee, Girma Tewolde, Jongil Lim, Jaerock Kwon, Vision Based Localization for Multiple Mobile Robots Using Low-cost Vision Sensor, International Journal of Handheld Computing Research (IJHCR) Volume 7, Issue 1, January – March 2016
• Young Seek Cho, Jaerock Kwon, and Seyeong Choi, “Design and Implementation of Wireless Sensor Network for Freeze Dryer,” Journal of information and communication convergence engineering, vol. 13, no. 1, pp.21-26, March 2015.
• Matthew Clark, Jongil Lim, Girma Tewolde, Jaerock Kwon, Affordable Remote Health Monitoring System for the Elderly Using Smart Mobile Device, Sensors & Transducers Journal and Magazine,  pp.77-83  (ISSN: 2306-8515, e-ISSN 1726-5479) Vol.184, Issue 1, January 2015
• Jaewook Yoo, Jaerock Kwon, and Yoonsuck Choe, Predictable Internal Brain Dynamics in EEG and Its Relation to Conscious States, Frontiers in Neurorobotics, 2014
• Young Seek Cho, Jaerock Kwon, and Hwan-Yong Kim, Design and Implementation of LED Dimming System with Intelligent Sensor Module, Journal of information and communication convergence engineering, Vol 11 (4), 2013.
• Yoonsuck Choe, Jaerock Kwon and Ji Ryang Chung, Time, Consciousness, and Mind Uploading, International Journal of Machine Consciousness (IJMC), 2012.
• David Mayerich, Jaerock Kwon, Chul Sung, Louise Abbott, John Keyser, and Yoonsuck Choe, Fast macro-scale transmission imaging of microvascular networks using KESM, Biomedical Optics Express, Vol. 2, Issue 10, pp. 2888-2896 (2011)
• J. R. Chung, C. Sung, D. Mayerich, J. Kwon, D. E. Miller, T. Huffman, L. C. Abbott, J. Keyser, and Y. Choe. Multiscale exploration of mouse brain microstructures using the knife-edge scanning microscope brain atlas. Frontiers in Neuroinformatics, 2011.
• Yoonsuck Choe, David Mayerich, Jaerock Kwon, Daniel E. Miller, Chul Sung, Ji Ryang Chung, Todd Huffman, John Keyser, and Louise C. Abbott. Specimen Preparation, Imaging, and Analysis Protocols for Knife-Edge Scanning Microscopy. Journal of Visualized Experiments, 2011.
• Kwon, J. and Choe, Y., Facilitating Neural Dynamics for Delay Compensation: A Road to Predictive Neural Dynamics?, IEEE Transactions on Neural Networks, April 2009

Conference Papers

• Subhadip Ghosh, Aydin Zaboli, Junho Hong, Jaerock Kwon, “Object-focused Risk Evaluation of AI-driven Perception Systems in Autonomous Vehicles,” The 2024 IEEE Transportation Electrification Conference & Expo, June 19-21, 2024, Rosemont, IL, USA
• Aws Khalil, Jaerock Kwon, “ANEC: Adaptive Neural Ensemble Controller for Mitigating Latency Problems in Vision-based Autonomous Driving,” The 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), October 1 – 5, 2023, Detroit, Michigan, USA. (code)
• Donghyun Kim, Jaerock Kwon, Haewoon Nam, “VAE-based Future Road Image Generation for Autonomous Driving,” Proceedings of Symposium of the Korean Institute of Communications and Information Sciences, June 21-24, 2023, Jeju Island, Korea
• Byung Chan Choi, Jaerock Kwon, Haewoon Nam, “Image Prediction for Lane Following Assist using Convolutional Neural Network-based U-Net,” The 4th International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2022), Feb 21-24, 2022
• Donghyun Kim, Jaerock Kwon, Haewoon Nam, “End-to-End Learning-based Self-Driving Control Imitating Human Driving”, The 12^th International Conference on ICT Convergence (ICTC 2021), Jeju Island, Korea, October 20-22, 2021
• Gyouho Cho, Youngki Kim, Jaerock Kwon, Mengqi Wang, Wencong Su, “Impact of Data Sampling Methods on the Performance of Data-driven Parameter Identification for Lithium ion Batteries,” 2021 Modeling, Estimation and Control Conference, (MECC 2021)
• Ahmed Abdelhamed, Girma Tewolde, and Jaerock Kwon, Simulation Framework for Development and Testing of Autonomous Vehicles, International IOT, Electronics and Mechatronics Conference, Vancouver, Canada, Sep 2020
• Nikhil Prabhu, Sewoong Min, Haewoon Nam, Girma Tewolde, and Jaerock Kwon, Integrated Framework of Autonomous Vehicle with Traffic Sign Recognition in Simulation Environment, IEEE International Conference on Electro/Information Technology, Naperville, IL, USA, July 2020
• Shobit Sharma, Girma Tewolde, and Jaerock Kwon, Lateral and Longitudinal Motion Control of Autonomous Vehicles using Deep Learning,* IEEE International Conference on Electro/Information Technology, Brookings, South Dakota, USA, May 2019*
• Shruthi Raghavan and Jaerock Kwon, Tracing Tubular Structures from Teravoxel-Sized Microscope Images, * the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’18), Honolulu, HI, USA, July 17-21, 2018*
• Akanksha Ashwini and Jaerock Kwon, Image Processing Pipeline for Web-Based Real-Time 3D Visualization of Teravoxel Volumes, The Third International Conference on Data Mining and Big Data (DMBD’2018), Shanghai, China, June 2018
• Shobit Sharma, Girma Tewolde, and Jaerock Kwon, Behavioral Cloning for Lateral Motion Control of Autonomous Vehicles using Deep Learning,* The 17th Annual IEEE I International Electro/Information Technology Conference, May 2018, Rochester, MI, USA*
• Mohamed Fasil Syed Ahamed, Girma Tewolde, and Jaerock Kwon, Software-in-the-loop Modeling and Simulation Framework for Autonomous Vehicles, The 17th Annual IEEE I International Electro/Information Technology Conference,  May 2018, Rochester, MI, USA
• Taajwar Bey, Girma Tewolde, and Jaerock Kwon, Short Survey of Vehicular Communication Technology, The 17th Annual IEEE I International Electro/Information Technology Conference, May 2018, Rochester, MI, USA
• Jaren Golenbiewski, Girma S. Tewolde, Jaerock Kwon, Evaluation of Indoor Positioning Technologies for prototyping at Kettering University, The 17th Annual IEEE I International Electro/Information Technology Conference, May 2018, Rochester, MI, USA
• Li Dang, Nishanth Sriramoju, Girma Tewolde, Xiaoyuan Zhang, Designing a cost-effective Autonomous Vehicle Control System Kit (AVCS Kit), 2017 IEEE AFRICON, September 2017
• Li Dang, Girma Tewolde, Xiaoyuan Zhang, Jaerock Kwon, Reduced resolution lane detection algorithm, 2017 IEEE AFRICON, September 2017
• Seokju Lee, Girma Tewolde, Jongil Lim, Jaerock Kwon, 2D SLAM Solution for Low-Cost Mobile Robot based on Embedded Computer Board, The 2017 World Congress on Advances in Structural Engineering and Mechanics. KINTEX, Ilsan(Seoul), Korea, August 2017
• Li Dang, Jaerock Kwon, Design of a New Cost-Effective Head for a Low-Cost Humanoid Robot, The 7th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, New York City, USA, October 2016
• Shruthi Raghavan, Matthew Goodman, Todd Huffman, Cody Daniel, Corey Monteith, and Jaerock Kwon. Internet-Connected High-Throughput and High-Resolution Three-Dimensional Tissue Scanner to Enable Large-Scale Automated Histology. 2016 IEEE International Conference on Imaging Systems and Techniques (IST), Crete, Greece, October 2016.
• Daniel E. Miller, Raj S. Shah, Wencong Zhang, Jaewook Yoo, Jaerock Kwon, David Mayerich, John Keyser, Louise C. Abbott, and Yoonsuck Choe. Fast submicrometer-scale imaging of whole zebrafish using the knife-edge scanning microscope. In Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016.
• Shruthi Raghavan, Jaerock Kwon. Fully Automated Image Preprocessing for Feature Extraction from Knife-Edge Scanning Microscopy Image Stacks, 9th International Joint Conference on Biomedical Engineering Systems and Technologies, Rome, Italy, February 2016.
• Li Dang, Xiaoyuan Zhang, Girma Tewolde, Jaercok Kwon. Reduced Resolution Lane Detection Algorithm, IEEE AFRICON 2017.
• Phanindra Amaradi, Nishanth Sriramoju, Li Dang, Girma Tewolde, Jaerock Kwon. Lane Following and Obstacle Detection Techniques in Autonomous Driving Vehicles, 2016 IEEE INTERNATIONAL CONFERENCE on ELECTRO/INFORMATION TECHNOLOGY, Grand Forks, North Dakota, USA 2016.
• Girma Tewolde and Jaerock Kwon, Arduinos, Mobile Robots, and Smartphones for a Computer Engineering Summer Camp, Proceedings of the 2015 ASEE North Central Section Conference
• Seok-Ju Lee, Girma Tewolde, Jongil Lim, Jaerock Kwon, QR-code based Localization for Indoor Mobile Robot with Validation using a 3D Optical Tracking Instrument, 2015 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Busan, Korea.
• Jongil Lim, SeokJu Lee, Girma Tewolde Jaerock Kwon, Indoor Localization and Navigation for a Mobile Robot Equipped with Rotating Ultrasonic Sensors Using a Smartphone as the Robot’s Brain, 2015 IEEE International Conference on Electro/Information Technology, DeKalb, IL, USA
• Seok-Ju Lee, Girma Tewolde, Jongil Lim, Jaerock Kwon, Vision Based Localization for Multiple Mobile Robots Using Low-cost Vision Sensor, 2015 IEEE International Conference on Electro/Information Technology, DeKalb, IL, USA
• Young Seek Cho, Jaerock Kwon, Seyeong Choi, and Dae-Hee Park, Development of Smart LED Lighting System Using Multi–Sensor Module and Bluetooth Low Energy Technology, IEEE International Conference on Sensing, Communications and Networking (SECON), 2014
• Jongil Lim, SeokJu Lee, Girma Tewolde, and Jaerock Kwon, Ultrasonic-Sensor Deployment Strategies and Use of Smartphone Sensors for Mobile Robot Navigation in Indoor Environment, 2014 IEEE International Conference on Electro/Information Technology
• SeokJu Lee, Jongil Lim, Jaerock Kwon, and Girma Tewolde, Autonomous Tour Guide Robot by using QR code Recognition in Indoor Environment, 2014 IEEE International Conference on Electro/Information Technology
• Girma Tewolde and Jaerock Kwon, Robots and Smartphones for Attracting Students to Engineering Education, 2014 Zone 1 Conference of the American Society for Engineering Education, Bridgeport, Connecticut, 2014.
• SeokJu Lee, Girma Tewolde, and Jaerock Kwon, Design and Implementation of Vehicle Tracking System Using GPS/GSM/GPRS Technology and Smartphone Application, IEEE World Forum on Internet of Things WF-IoT 2014.
• Jaerock Kwon, Enhanced Image Processing Pipeline and Parallel Generation Of Multiscale Tiles for Web-Based 3D Rendering of Whole Mouse Brain Vascular Networks, International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2014.
• Y.C. Kim, W.S Yang, J. Kwon, Y.S. Choe, S. Choi and D.H. Park, Development of LED Lighting System using Bluetooth Wireless Communication, The Korean Institute of Electrical and Electronic Material Engineers General Meeting & Annual Autumn Conference, 2012.
• Yoonsuck Choe, David Mayerich, Jaerock Kwon, Daniel Miller, Ji Ryang Chung, Chul Sung, John Keyser, and Louise Abbott , Knife-Edge Scanning Microscopy for Connectomics Research, IJCNN 2011 – International Joint Conference on Neural Networks, San Jose, California, 2011.
• G. Tewolde and J. Kwon, Efficient WiFi-based Indoor Localization using Particle Swarm Optimization, International Conference on Swarm Intelligence, Chongqing, China, 2011.
• Kwon, J., David, M., and Choe, Y., Automated Cropping and Enhanced Noise Removal for Knife-Edge Scanning Microscopy, IEEE International Symposium on Biomedical Imaging. Chicago, Illinois, 2011.
• David, M., Kwon, J., Panchal A., Keyser, J., and Choe, Y., Fast Cell Detection in High-throughput Imagery Using GPU-Accelerated machine Learning, IEEE International Symposium on Biomedical Imaging. Chicago, Illinois, 2011.
• Jaerock Kwon and Yoonsuck Choe. Predictive internal neural dynamics for delay compensation. In Second World Congress on Nature and Biologically Inspired Computing(NaBIC2010), 2010.
• Kwon, J. and Choe, Y., Facilitating Neural Dynamics for Delay Compensation: A Road to Predictive Neural Dynamics?, IEEE Transactions on Neural Networks, April 2009
• Chung, J., Kwon, J., and Choe, Y., Evolution of Recollection and Prediction in Neural Networks., International Joint Conference on Neural Networks, 2009
• Kwon, J., and Choe, Y., Internal State Predictability as an Evolutionary Precursor of Self-Awareness and Agency.* In Proceedings of the Seventh International Conference on Development and Learning, pages 109-114. IEEE, 2008*
• David, M., Kwon, J., Choe, Y., and Keyser, J., Constructing High-Resolution Microvascular Models.,* 3rd International Workshop on Microscopic Image Analysis with Applications in Biology, 2008*
• Kwon, J. and David, M., Lateral Sectioning for Knife-Edge Scanning Microscopy.*, IEEE International Symposium on Biomedical Imaging., Paris, France, 2008*
• Kwon, J. and Choe, Y., Enhanced Facilitatory Neuronal Dynamics for Delay Compensation.*, In Proceedings of the International Joint Conference on Neural Networks., Piscataway, NJ, 2007. IEEE Press. (Awardee of travel grants for IEEE IJCNN 2007 conference)*
• Kwon, J., Kang, S., Kim, Y., Woo, Y., Kim, H., and Choi, B., The Design and Implementation of Korean Generator Using Feature Structure.*, In Proceedings of the Institute of Electronics Engineers of Korea., Vol. 16, 2. p979-983, November 1993*

Book Chapters

• Ji Ryang Chung, Jaerock Kwon, Timothy A. Mann, and Yoonsuck Choe. Evolution of time in neural networks: From the present to the past, and forward to the future. In A. Ravishankar Rao and Guillermo A. Cecchi, editors, The Relevance of the Time Domain to Neural Network Models. Springer, Berlin, 2011.
• Yoonsuck Choe, Jaerock Kwon, David Mayerich, and Louise C. Abbott. Connectome, Mouse. In Dieter Jaeger and Ranu Jung, editors, Encyclopedia of Computational Neuroscience. Springer, p976-979, Berlin, 2022.
• Y. Choe, L.C. Abbott, D. Han, P. Huang, J. Keyser, J. Kwon, D. Mayerich, Z. Melek, B.H. McCormick, Knife-Edge Scanning Microscopy: High-throughput Imaging and Analysis of Massive Volumes of Biological Microstructures, In R. Rao and G. Cecchi, editors, High-throughput Image Reconstruction and Analysis: Intelligent Microscopy Applications, Series on Bioinformatics and Biomedical Imaging, Artech House Publishers, 2008.

Abstracts

• Bibash Lama, Jaerock Kwon, Yunju Lee, “Validation of BPNET For Human Motion Dataset Preparation For Gait Feature Extraction,” The American Society of Biomechanics Annual Conference, Knoxville, Tennessee, 2023
• Raksha Varahamurthy, Jaerock Kwon, “Toward Human Body 3D Key Joint Position Estimation from 2D Images,” IEEE Southeastern Michigan Spring Conference 2023
• Shefali Gokarn, Jaerock Kwon, “Design and Implementation of Drive-By-Wire System for a Scaled Vehicle: OSCAR_PIX 4,” IEEE Southeastern Michigan Spring Conference 2023
• Byung Chan Choi, Haewoon Nam, and Jaerock Kwon. “Analysis of Features from Convolutional Neural Network-based Encoder for Image Retrieval-based Vehicle Localization.” Conference on Artificial Intelligence in Smart Cities 2021, Virtual
• Yoonsuck Choe, Jaewook Yoo, and Jaerock Kwon. Prediction, resilience to change, and evolution of consciousness. In ICDL Workshop on Spatio-temporal Aspects of Embodied Predictive Processing 2021 (StEPP21), 2021.
• Jaerock Kwon and Mohamed Houssem Fehri. “Sensorimotor Association Learning and Internal Simulation Network (SALIS-Net) for Autonomous Driving.” Conference on Artificial Intelligence in Smart Cities 2021, Virtual
• Mohamed Houssem Fehri and Jaerock Kwon. “Sensory Motor Integration Learning for Autonomous Driving.” US-Korea Conference (UKC) 2020 Virtual
• Mohamed Houssem Fehri and Jaerock Kwon, Sensory Motor Integration Learning for Autonomous Driving, Dearborn AI Symposium, 2020
• Jaerock Kwon, and Rohan Pradeepkumar Nair, Autonomous Vehicle Research Platform, Dearborn AI Symposium, 2020
• Jaerock Kwon, and Sanjyot Thete, Compensation Latency in Autonomous Driving, Dearborn AI Symposium, 2020
• Li Dang, Nishanth Sriramoju, Amaradi Phanindra, Xiaoyuan Zhang, Girma Tewolde, Jaerock Kwon. Enhanced Lane and Obstacle Detection Technique for Intelligent Vehicles. ASEE-North Central Section, 2016.
• A. Ashwini, S. Raghavan, Y. Choe, D. Mayerich, T. Huffman, M. Goodman, C. Daniel, J. Kwon. Web-based real-time 3D visualization framework for teravoxel volumes. Society for Neuroscience Annual Meeting, San Diego, California 2016.
• Shruthi Raghavan, Jaerock Kwon. DIVIDE, CONQUER, AND COMBINE ALGORITHM TO TRACE COMPLEX TUBULAR STRUCTURES FROM TERAVOXEL-SIZED MICROSCOPE IMAGE STACKS, The 2016 International Symposium on Biomedical Imaging. Prague, The Czech Republic, April 2016.
• S. RAGHAVAN, Y. CHOE, D. MAYERICH, T. HUFFMAN, M. GOODMAN, C. DANIEL, J. KWON. Internet-enabled robotic microscope powered by knife-edge scanning microscopy, Society for Neuroscience Annual Meeting, Chicago, Illinois, October 2015.
• Mr. Woo Seok Yang, Mr. Hye Myeong Kim, Prof. Young Seek Cho, Prof. Seyoung Choi, Prof. Jaerock Kwon, Prof. Dae Hee Park. Development of Intelligent LED Lighting System with Bluetooth Wireless Interface. International Conference on Advanced Electromaterials, ICAE, Jeju, Korea, Nov 2013.
• W. S. Yang, H. M. Kim, J. Kwon, Y.S. Choe, S. Choi, D.H. Park, Implementation of LED Dimming System using Ultrasonic sensor and MCU, The Korean Institute of Electrical and Electronic Material Engineers General Meeting & Annual Summer Conference, 2013.
• H.M. Kim, W.S Yang, J. Kwon, Y.S. Choe, S. Choi, D.H. Park, Control of LED Lighting System using Bluetooth Wireless Communication, The Korean Institute of Electrical and Electronic Material Engineers General Meeting & Annual Summer Conference, 2013.
• C. SUNG, D. MAYERICH, J. KWON, D. E. MILLER, L. C. ABBOTT, J. KEYSER, T. HUFFMAN, *Y. CHOE, Web-based knife-edge scanning microscope brain atlas in vector-graphics for enhanced performance, Society for Neuroscience Annual Meeting, New Orleans, Louisiana, October 2012.
• Yoonsuck Choe, Louise C. Abbott, Giovanna Ponte, John Keyser, Jaerock Kwon, David Mayerich, Daniel Miller, Donghyeop Han, Anna Maria Grimaldi, Graziano Fiorito, David B. Edelman, and Jeffrey L. McKinstry. Charting out the octopus connectome at submicron resolution using the knife-edge scanning microscope. BMC Neuroscience, 11(Suppl 1):P136, 2010. Nineteenth Annual Computational Neuroscience Meeting: CNS*2010.
• Y. CHOE, L. C. ABBOTT, J. KEYSER, D. E. MILLER, D. HAN, H.-F. YANG, J. R. CHUNG, C. SUNG, D. MAYERICH, J. KWON, K. MICHEVA, S. J. SMITH, Multiscale imaging, analysis, and integration of mouse brain networks. Society for Neuroscience Annual Meeting, San Diego, CA, October 2010
• J. KWON, D. MAYERICH, Y. CHOE, Automated cropping and artifact removal for Knife-Edge Scanning Microscopy,  Society for Neuroscience Annual Meeting, San Diego, CA, October 2010
• Yoonsuck Choe, Anna Maria Grimaldi, Donghyeop Han, Daniel Miller, David Mayerich, Jaerock Kwon, John Keyser, Giovanna Ponte, Louise Abbott, Graziano Fiorito, Charting out the Octopus Connectome at Submicron Resolution Using the Knife-Edge Scanning Microscope.CNS*2010, San Antonio, TX, July 2010
• Yoonsuck Choe and Jaerock Kwon, Open issues in high-fidelity simulation of the connectome. CNS*2010 Workshop on High-throughput 3D microscopy and high-performance computing for multi-scale modeling and simulation of large-scale neuronal circuits, San Antonio, TX, July 2010
• Louise C. Abbott, David Mayerich, Jaerock Kwon, and Yoonsuck Choe High-throughput imaging of whole mouse brain using the Knife-Edge Scanning Microscope. CNS*2010 Workshop on High-throughput 3D microscopy and high-performance computing for multi-scale modeling and simulation of large-scale neuronal circuits, San Antonio, TX, July 2010
• Y. Choe, D. Han, P. Huang, J. Keyser, J. Kwon, D. Mayerich, L. C. Abbott, Complete submicrometer scans of mouse brain microstructure: Neurons and vasculatures. Society for Neuroscience Annual Meeting, Chicago, IL, October 2009
• Y. Choe and J. Kwon. Internal state predictability as an evolutionary precursor of self-awareness and agency. In Neuroscience Meeting Planner, Washington, DC: Society for Neuroscience, 2008. Program No. 738.14. Online.
• Y. Choe, L.C. Abbott, J. Keyser, J. Kwon, David MayerichZ. Melek, and Bruce H. McCormick, Enhanced microvascular staining and tracing in large volumes of mouse brain tissue. Society for Neuroscience Annual Meeting, San Diego, CA, November 2007
• J. Kwon, D.M. Mayerich, J. Keyser, Y. Choe, L. Abbott, B.H. McCormick, Automatic Data Acquisition for Knife-Edge Scanning Microscopy. Industrial Affiliates Program, October 2007
• B.H. McCormick, L.C. Abbott, D.M. Mayerich, J. Keyser, J. Kwon, and Y. Choe, Automated Concurrent Serial-Sectioning and Microimaging of Whole Small Animal Brain at Submicron Resolution, Symposium on Imaging Neurons and Neural Activity, Cold Spring Harbor Laboratories, March 2007
• Bruce H. McCormick, Louise C. Abbott, Yoonsuck Choe, John Keyser, Jaerock Kwon, David Mayerich, Kristina Micheva, Stephen J. Smith, Multiscale Imaging of Mouse Brain Microstructure, National Institute of Health Multi-Scale Modeling Meeting, Washington D.C., April 2007
• D.M. Mayerich; Z. Melek, J. Kwon, J. Keyser, Y. Choe, L. Abbott, B.H. McCormick, Imaging and Mapping Brain Microvasculature, Industrial Affiliates Program, March 2007
• B.H. McCormick, L.C. Abbott, D.M. Mayerich, J. Keyser, J. Kwon, Z. Melek, Y. Choe, Full-Scale submicron neuroanatomy of the mouse brain, Society for Neuroscience Annual Meeting, Atlanta, GA, October 2006
• Bruce H. McCormick, Louise C. Abbott, Yoonsuck Choe, John Keyser, Jaerock Kwon, and David Mayerich, Full-scale Submicron Neuroanatomy to Constrain Computational Models of Biologically Accurate Neuron and Networks. WAM-BAMM (World Association of Modelers.Biologically Accurate Modeling Meeting), 3/24/2006, San Antonio, TX

Magazine Articles (Korean)

• Modem sharing using SAPS (SpartaCom Asynchronous Port Sharing), PC PLUS, September 1997 p391 – p397
• Making an Audio CD Player with Video Clip using TOOLBOOK 3.0, I LOVE PC, December 1995 p196 – p209
• Making a Hangul(Korean Alphabet) Word Processor, 1,2,3, C Program World Magazine, from June to August 1994
• Making an application using C language – Make PIMS application, Hello PC, January – May 1993
• Housekeeping account book software – Oink, Personal Computer, March 1990 p206 – p223
• Design and Implementation of HSIC (Hanyang Simplified Instructional Computer) Assembler, Personal Computer, September 1991 p102 – p114
• How to use multiple fonts in an application, Personal Computer, January 1991 p268 – p273, p310

Magazine Articles (Translation)

• Question and Answer C++, Paul DiLascia, Microsoft System JournalKorean Edition, January 1999
• Bug Slayer, Microsoft System Journal Korean Edition, November 1998
• Control Spy Exposes the Clandestine Life of Windows Common Controls, Part II, Microsoft System Journal Korean Edition, October 1998
• Control Spy Exposes the Clandestine Life of Windows Common Controls, Part I, Microsoft System Journal Korean Edition, August 1998
• Question and Answer C++, Microsoft System Journal Korean Edition, July 1998
• Minimizing the Memory Footprint of Your Windows CE-based Program, Microsoft System Journal Korean Edition, June 1998
• Question and Answer, Microsoft System Journal Korean Edition, May 1998
• Why Do Certain Win32 Technologies Misbehave in Windows NT services, Microsoft System Journal Korean Edition, April 1998
• Manipulate Windows NT Services by Writing a Service Control Program, Jeffery Richer, Microsoft System Journal Korean Edition, March 1998
• Q & A ActiveX/COM, Don Box, Microsoft System Journal Korean Edition, February 1998
• Under The Wood, Matt Pietrek, Microsoft System Journal Korean Edition, January 1998
• Windows Programming Supervisor, Microsoft System Journal Korean Edition, December 1997
• Introducing the Bugslayer: Annihilating Bugs in an Application Near You, John Robbins, Microsoft System Journal Korean Edition, November 1997
• Extend Developer Studio 97 With Your Own Add-ins, Macros, and Wizards, Steve Zimmerman, Microsoft System Journal Korean Edition, October 1997
• Seven Great Multithreading Ideas Part II, Microsoft System JournalKorean Edition, August 1997
• Q & A Win32, Microsoft System Journal Korean Edition, June 1997