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Jungme Park

Research Interests

Environmental Perception for Autonomous Driving

Driver Awareness System

HD map generation and Localization for Autonomous Driving

Artificial Intelligence –Deep Neural Networks

Hybrid Electrical vehicle Power management

 

Education

B.S. Statistics, Korea University, Seoul, Korea 1989

M.S. Computer Science, University of Alabama, Tuscaloosa, Alabama 1996

Ph.D. Computer Science, University of Alabama, Tuscaloosa, Alabama 2001

 

Experience

Assistant Professor, Kettering University, Flint, MI, 2017-present

Senior Research Engineer, Changan US R&D, Plymouth, MI, 2015-2016

Senior Research Engineer, Hyundai Mobis, Plymouth, MI, 2014-2015

Research Scientist, University of Michigan Dearborn, Dearborn, MI, 2006-2014

 

Research Activities

High Definition Map generation for Autonomous Driving using Camera and GPS sensors, Changan US R&D center, 2016.

North America Traffic Sign recognition system for the Multi Function Camera, Hyundai Mobis, 2015.

North America GNSS system evaluation for Autonomous Driving, Hyundai Mobis, 2015.

Advanced Speed and Energy Profile Trip Modeling using Static and Dynamic Information, Ford Motor Company-UM alliance program grant (grant number: N013596), 08/01/2010-07/31/2014. PI: Yi L. Murphey, Co-PI: Jungme Park 

Vehicle Implementation and Evaluation of Energy Management Strategy based on Machine Learning Approach Ford Motor Company-UM alliance program grant, Aug. 2009 – July 2010. PI: Y. L. Murphey, Co-PI: Jungme Park.

Cognitive Electric Power Management in Military Vehicular Systems Using Artificial Intelligence” Phase I ~ Phase III, US Army RDECOM-TARDEC, , 2007 ~ 2011, PI: Y. L. Murphey, Co-PI: Chris Mi, Project leader: Jungme Park.

Machine Learning Approaches to Vehicle Power Management, State of Michigan 21st Century Jobs Fund, 2007 ~ 2008, PI: Y. L. Murphey, project leader: Jungme Park.

TRW Educational Foundation, “A Real Time Machine Vision System for Traffic Sign Detection,” 2007 ~ 2010, PI: Y. L. Murphey, project leader: Jungme Park.

TRW Educational Fund, “Robust algorithms for pedestrian detection and tracking,” 2006 ~ 2007, PI: Y. L. Murphey, project leader: Jungme Park.

 

Selected Publications

Jungme Park, Yi L. Murphey, Abul Masrur, “Intelligent Energy Management and Optimization in a Hybridized All-Terrain Vehicle With Simple On–Off Control of the Internal Combustion Engine.” IEEE Transactions on Vehicular Technology 65.6 (2016): 4584-4596.

Jungme Park, Tianyu Wang, “Robust Real Time Traffic Sign Detection Methodology with Smart Adaptive Scanning Scheme,” HKMC group technology 2015 conference.

Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips, “Intelligent Trip Modeling for Prediction of Origin-Destination Traveling Speed Profile,” IEEE Intelligent Transportation System, pp 1-15, Jan. 2014.

Xipeng Wang, Jungme Park, Yi L. Murphey, Kristinsson, Ming Kuang, Tony Phillips, “Intelligent Trip Modeling on Ramps using Ramp Classsification and Knowledge Base,” IEEE International Joint Conference on Neural Networks (IJCNN), 2014.

Qi Dai, Jungme Park, Yi L. Murphey, and Dev Kochhar, “Nonintrusive Automated Heart Rate Estimation Using Video Images with Intelligent Machine Learning,” FISITA 2014 World Automotive Congress, 2014.

Yi L. Murphey, Jungme Park, Leonidas Kiliaris, Ming Kuang, Abul Masrur, Anthony Phillips, and Qing Wang, “Intelligent Hybrid Vehicle Power Control – Part II: Online Intelligent Energy Management,” IEEE Transaction on Vehicular Technology, vol. 62(1), pp 69-79, 2013.

Yi L. Murphey, Jungme Park, and Abul Masrur, “Intelligent Energy Management in a Low Cost Hybrid Electric Vehicle Power System,” IEEE Vehicular Technology Conference: VTC2013-Fall, Sep. 2013, Las Vegas, USA.

Jungme Park, Yi L. Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, and Tony Phillips, “Intelligent speed profile prediction on urban traffic networks with machine learning,” IJCNN 2013, August 2013.

Yi L. Murphey, Jungme Park, ZhiHang Chen, Ming Kuang, Abul Masrur, Anthony Phillips, “Intelligent Hybrid Vehicle Power Control – Part I: Machine Learning of Optimal Vehicle Power,” IEEE Transaction on Vehicular Technology, vol. 61(8), pp 3519-3530, 2012.

Jungme Park, Li Dai, Yi L. Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, and Tony Phillips, “Real time vehicle speed profile generation using neural network,” IJCNN 2011, July 2011.

Ruoqian Liu, Shen Xu, Jungme Park, and Yi L. Murphey, “Real time vehicle speed prediction using gas-kinetic traffic modeling,” IEEE Symposium Series on Computational Intelligence – SSCI 2011, April 2011.

Jungme Park, Zhihang Chen and Yi L. Murphey, “Intelligent vehicle power management through neural learning,” IJCNN2010, July 2010.

Jungme Park,  ZhiHang Chen, Leonidas Kiliaris, Ming Kuang, Abul Masrur, Anthony Phillips and Yi L. Murphey, “Intelligent  Vehicle Power Control based on Machine Learning of Optimal Control Parameters and Prediction of Road Type and Traffic Congestions,” IEEE Transactions on Vehicular Technology, vol. 58, No. 9,  November, 2009.

Jialin Jiao, Zhong Zheng, Jungme Park and Yi L. Murphey, “A robust multi-class traffic sign detection and classification system using asymmetric and symmetric features,” 2009 IEEE International Conference on Systems, Man& Cybernetics, October. 2009.

Jungme Park, Y Luo, H Wang, and Yi L. Murphey, “Pedestrian detection by modeling local convex shape features,” International Conference for Pattern Recognition, December 2008.

Jungme Park and Hong Tae Kang, “Prediction of Fatigue Life for Spot Welds Using Back-Propagation Neural Networks,” Materials & Design, vol. 28, pp. 2577-2584, 2007.

Yi L. Murphey, Zhihang Chen, L Kiliaris, Jungme Park, Ming Kuang, A Masrur, and A Phillips, “Neural learning of predicting driving environment for vehicle power management,” IJCNN2008, June 2008.

Jungme Park, Z Chen, L Kiliaris, Ming Kuang, A Masrur, A Phillips, and Yi L. Murphey “Intelligent vehicle power control based on prediction of road type and traffic congestions,” IEEE 68th Vehicular Technology Conference, September, 2008.

Jungme Park, H. Chen, and S. T. Huang, “A new gray-level edge thinning method,” Proceedings of the ISCA 13th International Conference: Computer Applications in Industry and Engineering, pp. 114-119, Honolulu, Hawaii, USA, November, 2000

Jungme Park, C. Looney, and H. C. Chen, “A fast connected component labeling algorithm,” Proceedings of ISCA 15th International Conference: Computer and their Applications, pp. 373-376, New Orleans, Louisiana, USA, March, 2000.

D. S. Chen, H. C. Chen and Jungme Park, “Solving Constrained Cell Formation Problems: A Neural Network Approach,” in Group Technology & Cellular Manufacturing Methodologies & Applications, (A. K. Kamrani editor), Chapter 8, 1997.

D. S. Chen, H. C. Chen and Jungme Park, “An Improved ART Neural Net for Machine Cell Formation,” Journal of Materials Processing Technology, vol 61, pp1-6, 1996.

 

Contact Information

Email: jpark@kettering.edu

Phone: (810) 762-7852

Office: 2-7030 AB