Pingping Zhu

Title

Assistant Professor

Department

Department Of Computer Sciences And Electrical Engineering

Institution

Marshall University

zhup@marshall.edu

Education

PhD, Electrical and Computer Engineering, University of Florida

Research Interests

Path Planning Algorithm Deep Learning Feature Extraction Adaptive Distributed Optimal Control

View all research interests

Biography

Dr. Pingping Zhu is an assistant professor in the Department of Computer Science and Electrical Engineering at Marshall University. Prior to joining Marshall University, he was a Research Associate in the Sibley School of Mechanical and Aerospace Engineering at Cornell University. Before that, He worked as a Postdoctoral Associate in the Department of Mechanical Engineering and Materials Science at Duke University. Dr. Pingping Zhu received the Ph.D. and M.S. degrees in the Department of Electrical and Computer Engineering from the University of Florida in 2013 and 2010, respectively, and the M.S. degree from the Institute for Pattern Recognition and Artificial Intelligence and B.S. degree in Department of Electronics and Information Engineering in Huazhong University of Science and Technology, China, in 2008 and 2006, respectively. His research interests include signal processing, machine learning, artificial intelligence, intelligent control, and human behavior research.

Homepages

Contact Information

Marshall University, Huntington, WV Room: WAEC 3103

Research

Not mentioned yet.

Cloud List

Path Planning Algorithm Deep Learning Feature Extraction Adaptive Distributed Optimal Control Digital Signal Processing Web Camera Blind Source Separation Human Face Detection Integrated Mapping Target Recognition Multiscale Dynamical Systems Neural Networks Camera Control Automatic Control Squares Algorithm, Square Algorithm Large Scale Network Systems Neural Computing Adaptive Online Oriented Interaction Video Processing Statistic Signal Processing Kernel Re Kalman Filter, Kalman Filtering Least Squares Time Series Generative Models Intelligent Robots Pattern Recognition Intelligent Control Dynamic Target Tracking Reduced Gradient Method Regional Surveillance Value Function Experimental Psychology Environmental Science Adaptive Dy Model Free Control Sensor Networks Survival Information Potential Reinforcement Learning Approximate Dynamic Programming, Approximate Dynamical Programming Intelligent Systems, Intelligent System Information Engineering Machine Learning Kernel Methods Multiple Scale Research Assistant New Fast Cumulative Distribution Function Fixed Budget New Criterion Artificial Intelligence Primate Brain Activity Finite Set Statistics Control Strategies Multi Targets Detection Design Classification Algorithm Biophysical Modeling Mine Countermeasures Gas Distribution Mapping Design Information Conditional Embedding Operator Kernel Hilbert Space

List of Publications (38)

In 2019

Pingping Zhu, Silvia Ferrari, Julian Morelli, Richard Linares, and Bryce Doerr, "Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps." Sensors 19, no. 7 (2019): 1524.
Found on CV

Julian Morelli, Pingping Zhu, Bryce Doerr, Richard Linares, and Sil- via Ferrari, "Integrated Mapping and Path Planning for Very Large- Scale Robotic (VLSR) Systems." In 2019 International Conference on Robotics and Automation (ICRA), pp. 3356-3362. IEEE, 2019.
Found on CV

In 2018

Bryce Doerr, Richard Linares, Pingping Zhu, and Silvia Ferrari, "Ran- dom Finite Set Theory and Optimal Control for Large Spacecraft Swarms," arXiv preprint arXiv:1810.00696, 2018.
Found on CV

Hongchuan Wei, Pingping Zhu, Miao Liu, Jonathan P. How, and Sil- via Ferrari, "Automatic Pan-tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets," IEEE Transactions on Automatic Control, 2018.
Found on CV

Shi Chang, Jason Isaacs, Bo Fu, Jaejeong Shin, Pingping Zhu, and Sil- via Ferrari, "Confidence Level Estimation in Multi-target Classification Problems," SPIE Defense + Commercial Sensing, 2018, accepted.
Found on CV

In 2017

Pingping Zhu, Jason Isaacs, Bo Fu, Silvia Ferrari, "Deep Learning Feature Extraction for Target Recognition and Classification in Under- water Sonar Images," IEEE Conference on Decision and Control (CDC), 2017, accepted.
Found on CV

In 2016

Songlin Zhao, Badong Chen, Zheng Cao, Pingping Zhu, Jose C. Principe, "Self-Organizing Kernel Adaptive Filtering," EURASIP Journal on Ad- vances in Signal Processing, 2016.1 (2016): 106.
Found on CV

Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Miao Liu, Robert H. Klein, Shayegan Omiddshafiei, Jonathan P. How, "Informa- tion value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models," Automatica, 74, 360-368, 2016.
Found on CV

Greg Foderaro, Pingping Zhu, Hongchuan Wei, Thomas A. Wetter- gren, Silvia Ferrari, "Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking," IEEE Transactions on Control of Net- work Systems, 2016.
Found on CV

John D. Albertson, Tierney A. Foster-Wittig, Greg Foderaro, Pingping Zhu, Xiaochi Zhou, Silvia Ferrari, Shahrooz Amin, Mark Modrak, Hal- ley Brantley, and Eben D. Thoma, "A Mobile Sensing Approach for Regional Surveillance of Fugitive Methane Emissions in Oil and Gas Pro- duction," Environmental Science & Technology, Vol. 50(5), pp. 2487- 2497, 2016.
Found on CV

Wenjie Lu, Pingping Zhu, and Silvia Ferrari, "A Hybrid-Adaptive Dy- namic Programming Approach for the Model-free Control of Nonlinear Switched Systems," IEEE Trans. on Automatic Control, Vol. 61 (10), 2016.
Found on CV

Silvia Ferrari, Greg Foderaro, Pingping Zhu, and Thomas A. Wetter- gren, "Distributed Optimal Control of Multiscale Dynamical Systems: A Tutorial," IEEE Control Systems Magazine, Vol. 36 (2), 102-116, 2016.
Found on CV

Pingping Zhu, Julian Morelli, Silvia Ferrari, "Value Function Approx- imation for Multiscale Dynamical Systems," IEEE Conference on Deci- sion and Control (CDC), 2016.
Found on CV

In 2015

Pingping Zhu, Wenjie Lu, Hongchuan Wei, Silvia Ferrari, "Multi- Kernel Probability Distribution Regressions," International Joint Con- ference on Neural Networks (IJCNN), 2015.
Found on CV

In 2014

Pingping Zhu, Badong Chen, and Jose C. Principe, "Learning Nonlin- ear Generative Models of Time Series with a Kalman Filter in RKHS," IEEE Trans. on Signal Processing, Vol. 62 (1): 141-155, 2014.
Found on CV

Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Robert Klein, Shayegan Omidshafiei, Patrick How, "Camera Control for Learn- ing Nonlinear Target Dynamics Via Bayesian Nonparametric Dirichlet Process Gaussain Process (DP-GP) Models," Intel ligent Robots and Sys- tems (IROS) IEEE/RSJ International Conference on, 2014.
Found on CV

In 2013

Songlin Zhao, Badong Chen, Pingping Zhu, Jose C. Principe, "Fixed Budget Quantized Kernel Least Mean-Square Algorithm," Signal Pro- cessing, Vol. 93 (9), 2759-2770, 2013.
Found on CV

Badong Chen, Songlin Zhao, Pingping Zhu, Jose C. Principe, "Quan- tized Kernel Recursive Least Squares Algorithm," IEEE Trans. on Neu- ral Networks, Vol. 24, pp. 1484-1491, 2013.
Found on CV

Pingping Zhu, Jose C. Principe, "Analysis on Extended Kernel Re- cursive Least Squares Algorithm," International Conference on Neural Networks (IJCNN), 2013.
Found on CV

Jongmin Lee, Pingping Zhu, Jose C. Principe, "A Parameter-free Ker- nel Design Based on Cumulative Distribution Function for Correntropy," International Conference on Neural Networks (IJCNN), 2013.
Found on CV

Pingping Zhu, Jose C. Principe, "Kernel Recurrent System Trained by Real-Time Recurrent Learning Algorithm," International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , 3572-3576, 2013.
Found on CV

In 2012

Pingping Zhu, Badong Chen, and Jose C. Principe, "A Novel Extended Kernel Recursive Least Squares Algorithm," Neural Networks, Vol. 32, pp. 349-357, Aug. 2012.
Found on CV

Badong Chen, Songlin Zhao, Pingping Zhu, Jose C. Principe, "Quan- tized Kernel Least Mean Square Algorithm," IEEE Trans. on Neural Networks, Vol. 23, pp. 22-32, 2012
Found on CV

Badong Chen, Songlin Zhao, Pingping Zhu, Jose C. Principe, "Mean square convergence analysis for kernel least mean square algorithm," Signal Processing, Vol. 92, No. 11, pp. 2624-2632, 2012
Found on CV

In 2011

Badong Chen, Pingping Zhu, Jose C. Principe, "Survival Information Potential: a New Criterion for Adaptive System Training," IEEE Trans. on Signal Processing, 2011
Found on CV

In 2009

Pingping Zhu, Jianguo Liu, Shengkui Dai, "Scaled AAN for Fixed- point Multiplier-free IDCT," EURASIP Journal on Advances in Signal Processing, 2009
Found on CV

Pingping Zhu, Jianguo Liu, Shengkui Dai, "Fixed-Point IDCT without multiplications based on B.G. Lee(cid:48) s algorithm," Digital Signal Process- ing, Vol. 19, Issue. 4, Jul. 2009
Found on CV

In 2008

Shengkui Dai, Jianguo Liu, Guoyou Wang, Pingping Zhu, "Fast Integer- DCT Implement without Multiplication", Microelectronics and Com- puter, Vol. 25, No. 5, 2008
Found on CV

Pingping Zhu, Jianguo Liu, Shengkui Dai, "Scaled ANN for Fixed- point IDCT without Multiplication," Proc. of the 14th National Con- ference on Image and Graph, Fuzhou, China, 2008
Found on CV

Pingping Zhu, Pan Chao, Jianguo Liu, Chen Hu, "Efficient Fast Al- gorithm of the Forward MDCT," Proc. of the 14th National Conference on Image and Graph, Fuzhou, China, 2008
Found on CV

In 2007

Pingping Zhu, Jianguo Liu, Shengkui Dai, "Fixed-point B.G. Lee IDCT without Multiplication," International Symposium on Multispec- tral Image Processing and Pattern Recognition Vol. 6789 67891W-1, Wuhan, China, 2007
Found on CV

Unspecified

Keith Rudd, Greg Foderaro, Pingping Zhu, Silvia Ferrari, "A General- ized Reduced Gradient Method for the Optimal Control of Very-Large- Scale Robotic Systems," IEEE Transactions on Robotics, accepted.
Found on CV

Hanna Oh, Jeffrey M. Beck, Pingping Zhu, Marc A. Sommer, Sil- via Ferrari, Tobias Egner, "Satisficing in split-second decision making is characterized by strategic cue discounting," Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(12), 1937-1956.
Found on CV

Pingping Zhu Page 3 of 7
Found on CV

Pingping Zhu Page 4 of 7
Found on CV

Hongchuan Wei, Wenjie Lu, Pingping Zhu, Guoquan Huang, John Leonard, Silvia Ferrari, "Optimized Visibility Motion Planning for Tar- get Tracking and Localization," Intel ligent Robots and Systems (IROS)
Found on CV

Pingping Zhu, Badong Chen, Jose C. Principe, "Extended Kalman Filter Using a Kernel Recursive Least Squares Observer," International Joint Conference on Neural Networks (IJCNN), pp. 1402-1408, Jul.
Found on CV

Pingping Zhu Page 5 of 7
Found on CV

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Colleagues

Jordan Keenan

Marshall University

Molly Mao

Marshall University

Nandini Manne

Marshall University

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