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Nijianjun

Professor

Department: College of IOT Engineering

Subject:

Teach Department:

Tel: +86 (0519) 85191711

Email: njjhhuc@gmail.com

Office:

Address:

PostCode:

10 Access

Resume

Jianjun Ni received his Ph.D. degree in Department of Information and Electrical Engineering from
China University of Mining and Technology, Xuzhou, China, in 2005. He was a Visiting Professor
with the Advanced Robotics and Intelligent Systems (ARIS) Laboratory at the University of Guelph
in Canada from November 2009 to October 2010. He is currently a Professor of College of IOT Engineering at Hohai University, China. His research interests include fuzzy systems, neural networks, robotics, machine
intelligence, and multi-agent system.

About

  • Name: Nijianjun
  • Gender: male
  • Degree:
  • Date of Birth: 1978-02-26 00:00:00.0
  • Education Level:
  • Alma Mater:

Education Experiences

2002 — 2005  PhD in Control Science, School of Information and Electrical  Engineering, China University of Mining and Technology, China.

Dissertation: Research on Multi-Agent Modeling and Simulating Method of Complex Adaptive System and Its Application

 

1999 — 2002  Master of Engineering in Mineral Processing Engineering, China University of Mining and Technology, China.

Dissertation: The Application Research on the Quick Clean Coal Filter Computer Control System

 

1995 — 1999  Bachelor of Engineering in Mineral Processing Engineering, China University of Mining and Technology, China.


WorkExperience

1College of IOT Engineering, Hohai University, China, 2005.07 ~ 

Position: Professor / Doctoral Advisor


2School of Engineering, University of Guelph, Canada, 2009.11-2010.10

Position: Visiting Professor / Post-doctoral Fellow


3School of Computer Science & Electronics Engineering, University of Essex, United Kingdom, 2015.7-2015.8

Position: Visiting Professor

 

Main Engineering skills: Computer control system; PLC; Configuration software; and so on


Main Research fields: Multi-robot system; Artificial intelligence, Complex system control and decision making, intelligent information acquisition and processing, computer modeling and simulation, and so on.


Field

Multi-robot system,

Artificial intelligence,

Complex system control and decision making,

Intelligent information acquisition and processing,

Computer modeling and simulation,

and so on.


Project

(1) National Natural Science Fund projects of China: Research on the collaborative semantic SLAM for heterogeneous multi-robots under indoor environments based on bio-inspired methods (No. 61873086)

Time2019.1 ~ 2022.12

ResponsibilityProject leader

 

(2) National Natural Science Fund projects of China: Research on the cooperative goal foraging for multi-robots inspired from animal spatial cognition (No. 61203365)

Time2013.1 ~ 2015.12

ResponsibilityProject leader

 

(3) Jiangsu Province Natural Science Fund projects: Research on the cooperative search and rescue for multi-robots based on bio-inspired neural networks (No. BK2012149)

Time2012.7 ~ 2015.6

ResponsibilityProject leader


Thesis

[1] Jianjun Ni, and Simon X. Yang. Bioinspired Neural Network for Real-Time Cooperative Hunting by Multirobots in Unknown Environments, IEEE Transactions on Neural Networks, 2011, 22(12): 2062-2077

[2] Jianjun Ni, Chuanbiao Zhang, Li Ren and Simon X. Yang Abrupt Event Monitoring for Water Environment System Based on KPCA and SVM, IEEE Transactions on Instrumentation and Measurement, 2012,61(4): 980-989

[3] Jianjun Ni, Minghua Liu, Li Ren, and Simon X.Yang. A Multi-agent Q-learning Based Optimal Allocation Approach for Urban Water Resource Management System, IEEE Transactions on Automation Science and Engineering, 2014,11(1): 204-214

[4] Jianjun Ni, Chuanbiao Zhang, and Simon X. Yang. An Adaptive Approach Based on KPCA and SVM for Real-Time Fault Diagnosis of HVCBs. IEEE Transactions on Power Delivery, 2011, 26(3): 1960 – 1971

[5] Jianjun Ni, Liuying Wu, Xinnan Fan, and Simon X. Yang. Bioinspired Intelligent Algorithm and Its Applications for Mobile Robot Control: A Survey, Computational Intelligence and Neuroscience, 2016, Vol. 2016, Article ID 3810903

[6] Jianjun Ni, Xiaofang Yang, Junfeng Chen, and Simon X. Yang. Dynamic bioinspired neural network for multi-robot formation control in unknown environments. International Journal of Robotics and Automation, 30(3):256-266, 2015

[7] Jianjun Ni, Liu Yang L, Liuying Wu, and Xinnan Fan. An Improved Spinal Neural System-Based Approach for Heterogeneous AUVs Cooperative Hunting. International Journal of Fuzzy Systems, 2018,20(2):672-686

[8] Jianjun Ni, L. Wu, P. Shi, and S. X. Yang. A dynamic bioinspired neural network based real-time path planning method for autonomous underwater vehicles, Computational Intelligence and Neuroscience, 2017, Vol. 2017, Article ID: 9269742

[9] Jianjun Ni, Minghua Liu, Juntao Fei and Huawei Ma. Reinforcement Learning Based Multi-Agent Cooperation for Water Price Forecasting Decision Support System, Information-An International Interdisciplinary Journal, 2012,15(5):1889-1899

[10] Ni, Jianjun; Wang, Chu; Fan, Xinnan; Yang, Simon X. A Bioinspired Neural Model Based Extended Kalman Filter for Robot SLAM, Mathematical Problems in Engineering, 2014, vol.2014, Article number: 905826

[11] Jianjun Ni, and Simon X. Yang. A Fuzzy-Logic Based Chaos GA for Cooperative Foraging of Multi-Robots in Unknown Environments, International Journal of Robotics and Automation, 2012, 27(1): 15-30

[12] Jianjun Ni, Li Ren, Minghua Liu, and Daqi Zhu, “A Multiagent Dynamic Assessment Approach for Water Quality Based on Improved Q-Learning Algorithm,” Mathematical Problems in Engineering, vol. 2013, Article ID 812032

[13] Ni, Jianjun; Wu, Wenbo; Shen, Jinrong; Fan, Xinnan. An Improved VFF Approach for Robot Path Planning in Unknown and Dynamic Environments, Mathematical Problems in Engineering, 2014, vol.2014, Article number: 461237


Achievements

Open Course

Teaching achievements

Teaching resources

Social Position

Honor

Admissions