Welcome to

Dr. Jie Shen's Homepage

 


 

Last modified on Monday, April 8, 2019 4:54:10 EST

 

Dr. Shen is a professor in the department of computer & information science, the University of Michigan-Dearborn, USA. He is a fellow of ASME & IET, and the editor-in-chief of the International Journal of Modelling and Simulation (CiteScore 2019: 1.15), which is an EI-indexed, peer-reviewed research journal published through UK-based Taylor & Francis Group both in print and online. Professor Shen has published about 140 technical papers, 3 books, and organized many international conferences/workshops. His research areas include Modeling and Simulation, Machine Learning and Artificial Intelligence, Numerical Analysis and Optimization, Robotics, Data Science, Sensor Technology, Data Fusion, and Computational Materials Science. Dr. Shen is an innovator who is the creator of two software tools: (a) UM GeoModifier and (b) UM MatDiagnoser. He also contributed to the development of the well-known software OptiStruct.

 


Recent Research News

 


February 15, 2020: Our work on artificial potential field for path planning of autonomous vehicles has been accepted by International Journal of Advanced Robotic Systems (ISI Impact Factor: 1.22).


Jan 2, 2020: We published a first-of-its-kind study on the scale-invariant morphological patterns of microchannels in coconut shells with respect to impact performance (ISI impact factor: 2.22)


December 2, 2019: Our another machine learning work on motion tracking has been published by IEEE Access (ISI Impact Factor: 4.10).


October 15, 2019: Our deep learning work on road conditions has been published in Elsevier J. Vis. Commun. Image R. (ISI impact factor: 2.259)


September 30, 2019: Hassan Ibrahim obtained a "Most Intriguing Poster" award on his project entitled "A virtual tesing system for autonomous vehicles".


August 12, 2019: We completed a paper entitled "Robust Object Tracking using Affine Transformation and Convolutional Features."


August 10, 2019: We always have a high regard to the Brown-Miller model with Morrow's mean stress correction because it is widely accepted in industry as one of the best methods for predicting fatigue life. Still, we have found a new predictor that beats this model significantly.


August 3, 2019: We completed a paper on a new active safety distance model of autonomous vehicles based on sensor occluded scenes.


August 2, 2019: Our paper ("Design and analysis of output feedback constraint control for antilock braking system based on Burckhardt's Model") has been published in Assembly Automation (ISI impact factor: 2.056).


July 29, 2019: Our book review on Multiscale Theory of Composites and Random Media has been published in International Journal of Modelling and Simulation (CiteScore: 1.03).


June 28, 2019: We finished a paper on deep learning on the classification of road surface conditions, which is a core problem for autonomous driving.


May 30, 2019: The 2018 CiteScore of our journal (International Journal of Modelling and Simulation)has passed 1.0 threshold and will cruise into Q2 category as a very competitive research journal in the filed of modelling and simulation with a manuscript acceptance rate around 15%.


May 27, 2019: Nolan Denoyer, Anthony Picciuto, Brandy Boggs, and Caleb Gagnon are joining us to develop an intelligent virtual testing and racing game system based on artificial intelligence.


April 8, 2019: our paper ("High Precision Extraction of Segment Points of 2D Profiles Based on a Dynamic Grid Method") has been accepted for publication in Mathematical Problems in Engineering.


March 28, 2019: Hassan Ibrahim will join us in his summer research.


March 10, 2019: After the development through the past several years, we formally release a software tool, UM GeoModifier, which can be used to conduct the data processing and simplification of point cloud data. The single license with regular tech support is $500, and the single license with extensive tech support is $1,000. Here is a link of a brochure.


March 8, 2019: J.Li, K.Pan, and W.Liu will join us this coming Fall.


March 5, 2019: Our paper on a fast voxel-based method for outlier removal in laser measurement has been accepted for publication in International Journal of Precision Engineering and Manufacturing.


February 28, 2019: Our paper ("Neural Burnout -- A Virtual Testing System") has been accepted by CAD'19.


December 28, 2018: Our paper on the Output Feedback Constraint Control for Antilock Braking Systems has been accepted for publication in Assembly Automation.


December 20, 2018: Our paper ("Design and analysis of output feedback constraint control for antilock braking system with time-varying slip ratio") has been accepted for publication in Mathematical Problems in Engineering.


December 10, 2018: Our students (Jacob Hasenau, Kenny Rogale and Bradon Lackowski) have developed a fully customized interactable driving simulation tool(Neural Burnout)based on evolutionary neural network for simulated races with learning.


December 8, 2018: 2018 CiteScore Tracker of Internatonal Journal of Modelling and Simulation has reached 0.93.


October 1, 2018: We will organize 2019 Computer Aided Modeling, Simulation and Analysis (CAMSA) to be held at Saint Petersburg University, Saint Petrsburg, Russia (July 1st-4th)


July 11, 2018: Nancy Fang joined the group.


Nov. 21, 2017: Our paper ("Research on Potential Traffic Accident Areas Identification and Innovative Safety Distance Model of Intelligent Vehicle") was under review


Nov. 20, 2017: We will organize 2018 Computer Aided Modeling, Simulation and Analysis (CAMSA) to be held at Monash University, Australia (July 2th-5th)


Oct. 30, 2017: Dr. Yozhi He joined in the group


Oct 26, 2017: Our paper ("Design and Analysis of an Auto-braking System Controller for Autonomous Vehicles under the Influence of Perturbation") was accepted by IEEE Transactions on Vehicular Technology


Oct 13, 2017: A special journal issue ("Data Processing, Mining, and Fusion via Modelling and Simulation") was released to the public for submission


Oct 10, 2017: A special journal issue ("Optimization and Machine Learning via Modelling and Simulation") was released to the public for submission


Sept 28, 2017: Dr. Y. Xie joined in the group


Sept. 1, 2017: Our solution won a semi-finalist of Next Challenge --- Smart Cities 2017


Aug. 16, 2017: Our proposal ("Research on identification and avoidance of potential traffic accident risks based on information fusion for autonomous vehicles") was awarded.


Aug. 10, 2017: Our paper ("Denoising of point cloud data") was accepted by Engineering with Computers


May 1, 2017: Our proposal ("Virtual Testing of Connected and Automated Vehicles") was awarded by M-Cubed program