Dr. Zhan Wang (IEEE member) obtained the B.Sc. degree from Wuhan university of technology (China) in 2012, the M.Eng. degree from university of the Chinese Academy of Sciences in 2015 and the doctor degree of robotics from Université Paris-Sud (France) in 2018. His research activities mainly focus on developing and optimizing guaranteed solutions for robotic localization, navigation and mapping issues, using related computer vision, multi-sensor fusion and constraint programming technologies. He currently works as a researcher in Institut supérieur d'électronique de Paris (ISEP), enrolled in the international project Horizon 2020 IoRL (Internet of Radio Light), presiding over the research work on visible light communication based indoor positioning and navigation system.which aims at developing a safer, more secure, customizable and intelligent building network that reliably delivers increased throughput (greater than 10Gbps) from access points pervasively located within buildings, whilst providing positioning accuracy of less than 10 cm in indoor environment. He is the editorial board members of Journal of Computers, Computer Sciences, and the reviewer for Sensors, Electronics, International Journal of Sensors&Sensor Networks. He has published 10+ scientific papers in interationals journals and conference proceedings and a book.

Research interests: SLAM, Localization & Navigation, Multi-sensor Fusion, Deep learning, Computer vision, Embedded system, Algorithm

09/2008 - 07/2012 Wuhan University of Technology Bachelor of Optical Information Science and Technology

06/2009-09/2011 UNIVERSITY PHYSICS LABORATORY, DEPARTMENT OF SCIENCE, WHUT

Lab. Assistant, assist in preparing experiments for freshman, acting as a tutor in some particular experiments.

• 1. Zhan Wang, Alain Lambert, Xun Zhang. Dynamic ICSP graph optimization approach for car-like robot localization in outdoor environment, Computers, 2019 (Accepted).

  2. Zhan Wang, Xun Zhang, Alain Lambert, et al. A Set-membership Approach for Visible Light Positioning with Fluctuated RSS Measurements, International conference on Indoor Positioning and Indoor Navigation (IPIN), 2019 (Accepted).

  3. Zhan Wang, Xun Zhang, Wenxiao Wang, et al. Deep Convolutional Auto-Encoder based Indoor Visible Light Positioning Using RSS Temporal Image. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2019.

  4. Lina Shi, Wenxiao Wang, Xun Zhang, Andrei Vladimirescu, Zhan Wang, et al. PAPR reduction based on deep autoencoder for DCO-OFDM VLC system. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2019.

  5. Zhan Wang. "Guaranteed Localization and Mapping for Autonomous Vehicles: applied interval analysis and constraint propagation." Editions Universitaires Européennes, 2019.

  6. Zhan Wang and Alain Lambert. "A Low-Cost Consistent Vehicle Localization Based on Interval Constraint Propagation." Journal of Advanced Transportation, 2018.

  7. Kangni Kueviakoe, Zhan Wang, Alain Lambert, et al. Localization of a vehicle: A Dynamic Interval Constraint Satisfaction Problem based approach[J], Journal of Sensors, 2018.

  8. Zhan Wang and Alain Lambert. "ICSP based visual teach and repeat for outdoor car-like robot localization." 10th Computer Science and Electronic Engineering Conference (CEEC), September, 2018.

  9. Zhan Wang and Alain Lambert. "A reliable and low cost vehicle localization approach using interval analysis." IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), August 2018.

  10. Bastien Vincke, Zhan Wang, Alain Lambert, and Abdelhafid Elouardi. "Constraint Propagation based Approach for Simultaneous Localization and Mapping of Mobile Robots." submitted to Journal of Advanced Transportation, 2018.

  11. Zhan Wang, Chenshan HAN, Xiangzhi LI, et al. Analysis the Effect of Control Error of the Boresight Angle on the Imaging Quality of Space Camera [J]. Journal of Applied Optics, 2015, 36(1), 21-26.

  12. Zhan Wang, Chenshan HAN, Xiangzhi LI, et al. An Efficient Large Region Image Inpainting Algorithm [J]. Computer Applications and Software, 2015, 32(10), 178-180.

  13. Zhan Wang, Chenshan HAN, Liang HUANG, et al. Design of Satellite-affair Simulation System for Space Camera [J]. Computer Engineering and Design, 2015, 8, 2014-2018.

  14. Zhan Wang, Chenshan HAN, Liang HUANG, et al. Design of Simulation Software for 1553B bus of Aerospace Camera [J]. Journal of Computer Application, 2015, S1, 199-202.

  15. Zhan Wang, Liang HUANG, Xiangzhi LI, et al. Thermal Experimental system for Aerospace Camera Based on 1553B Bus [J]. Computer Measurement & Control, 2015, 4, 1090-1093.

  16. Zhan Wang, Chenshan HAN, Qinglei ZHAO, et al. Design and Realize of Space Camera 1553B Communication System Based on DSP [J]. Computer Measurement & Control, 2014, 22(5), 1575-1578.

11/ 2017: Awarded as “Advanced Individual” Education Department of Chinese Embassy in France

06/2014: Awarded as “The Merit Student of University of Chinese Academy of Science ” Education Ministry of P. R. China

06/2012: Outstanding Graduate Student of Wuhan University of Technology Wuhan University of Technology

11/2011: The National Encouragement Scholarship Education Ministry of P. R. China

10/2011: Awarded as “The Merit Student of Wuhan University of Technology” Wuhan University of Technology

11/2010: The National Encouragement Scholarship Education Ministry of P. R. China

10/2010: Awarded as “The Excellent Student cadre” Wuhan University of Technology

05/2010: Awarded as "The Excellent League Member" Wuhan University of Technology

11/2009: The School First-class Scholarship Wuhan University of Technology

• 1. 05/2019 - present Editorial Board member of Journal of Computer and Computer Sciences

  2. 02/2019 - present Reviewer for Sensors, Electronics, IV2018, BMSB2019, etc.

  3. 09/2017 - 09/2018 Secretary General of ASSOCIATION DES BOURSIERS CSC EN ILE DE FRANCE (ABCF)

  4. 10/2017 - 11/2017 Teaching - Robotic Operating System (ROS), IUT, University of Paris-Sud

  5. 01/2019 - 12/2019 Teaching - Système d'électronque pour l'object connecté, Institut Supérieur d'Electronique de Paris