Prof Cristina Martínez Ruedas | Industry | Best Researcher Award |

Prof. Cristina Martínez Ruedas, Industry, Best Researcher Award.

Universidad de Córdoba, Spain

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

Prof. Cristina Martínez Ruedas is a seasoned professional with over 18 years of experience in project management and research and development (R&D) in the field of Information and Communication Technologies (ICT). She holds a PhD in Automatic Analysis of Arboreal Strata from the University of Cordoba and Seville, along with two master’s degrees in Telecommunications Engineering and Representation and Design in Engineering and Architecture. Currently, she is a Researcher at the University of Cordoba, specializing in Electronics and Computer Engineering, and is a member of the R&D Group on SmartGrids, Instrumentation, and Industrial Electronics (IEI -TIC 240).

🎓 Education:

 Cristina completed her PhD in Automatic Analysis of Arboreal Strata at the University of Cordoba and Seville. She also holds two master’s degrees: one in Representation and Design in Engineering and Architecture from the University of Cordoba and another in Telecommunications Engineering from the University of Seville.

🔍 Research Focus:

Cristina’s research focuses on ICTs, particularly in automation and connectivity solutions. She has worked on projects involving the automatic identification and quantification of trees and units with ecological significance in olive groves and dehesa ecosystems, among others.

👩‍💼 Professional Journey:

Cristina’s professional journey has been marked by significant contributions to the field of ICT. She has held key roles at Vodafone, CITIC, Wismasis GmbH, and DEUSER, where she has honed her skills in project management, business development, and R&D.

🏆 Honors & Awards:

Cristina has received several honors and awards for her contributions to the field of ICT and her research achievements.

Professional Experience: 💼

Cristina’s professional journey includes roles at various prestigious organizations. She started as a Large Accounts Executive at Vodafone and later transitioned to the role of a senior programmer for R&D projects at CITIC. She then worked as an R&D engineer at Wismasis GmbH, focusing on business development, design, and algorithm development. Prior to joining the University of Cordoba, Cristina served as the Head of the RDi Department at DEUSER, where she planned, designed, implemented, and maintained technology solutions for industrial process automation.

📚 Top Noted Publications :

Integrating and interconnecting of older SINUMERIK CNC machines with industry 4.0 using a plug-and-play system

Year of Publication: January 2024

Index: DOI: 10.1016/j.jii.2024.100583

Development of a customisable hardware data acquisition system using standardized protocols

Year of Publication: September 2023

Index: IEEE 13th International Conference on Consumer Electronics (ICCE-Berlin) 2023-09-02

Convolutional Neural Networks for Planting System Detection of Olive Groves

Year of Publication: 2023

Index: Springer, Cham. 10.1007/978-3-031-40688-1_17

A Methodology for Automatic Identification of Units with Ecological Significance in Dehesa Ecosystems

Year of Publication: 2022

Index: Forests. 13, pp. 581-603. DOI: 10.3390/f13040581

Methodology for the Automatic Inventory of Olive Groves at the Plot and Polygon Level

Year of Publication: 2022

Index: Agronomy. 12, pp. 1-20. DOI: 10.3390/AGRONOMY12381735

Author Metrics 📊 : 

Cristina’s research has been recognized for its impact and relevance in the field, as evidenced by her author metrics in such as scopus, orcid .

📅 Research Timeline:

Cristina’s research journey has been marked by a series of significant projects and contributions, highlighting her commitment to advancing the field of ICT through innovative research and development efforts.

Dr Hanchao Zhang | Remote Sensing | Best Researcher Award |

Dr Hanchao Zhang , Remote Sensing, Best Researcher Award.

Chinese Academy of Surveying & Mapping,China

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Hanchao Zhang, a dedicated Young Scientist in Remote Sensing based in Beijing, China, specializing in change detection for natural resource monitoring. As a principal investigator, Hanchao has led key projects at both national and provincial levels, showcasing a commitment to advancing the field.

🎓 Education:

Ph.D. in Photogrammetry and Remote Sensing from Wuhan University.

B.Sc. in Remote Sensing Science and Technology, Wuhan University.

🔍 Research Focus:

Hanchao’s research primarily revolves around remote sensing change detection for natural resource monitoring. Noteworthy innovations include introducing novel change detection network models, addressing issues like class imbalance, scene perception, spatial details, and feature fusion.

👩‍💼 Professional Journey:

Assistant Researcher at the Chinese Academy of Surveying & Mapping.

Instrumental in developing the ACID software system, an intelligent remote sensing image change detection system widely adopted by 28 user units and multiple national monitoring projects.

Successful team leader, leading a team in developing a multi-stage change detection framework.

🏆 Honors & Awards:

The 8th Youth Talent Support: Recognized for exceptional contributions to the development of remote sensing monitoring by the China Association for Science and Technology.

Top Ten New Stars: Honored by Wuhan University School of Remote Sensing Information Engineering for outstanding performance during the academic period.

📚 Top Noted Publications :

Multi-stage Progressive Change Detection on High-Resolution Remote Sensing Imagery

Authors: Ning, X.; Zhang, H.; Zhang, R.; Huang, X.

Published in the ISPRS Journal of Photogrammetry and Remote Sensing, 2024, Volume 207, Pages 231–244.

 

Spatial-Temporal Semantic Perception Network for Remote Sensing Image Semantic Change Detection

Authors: He, Y.; Zhang, H.; Ning, X.; Chang, D.; Hao, M.

Published in Remote Sensing, 2023, Volume 15(16), Pages 4095.

Citations: 4

 

We Need to Communicate: Communicating Attention Network for Semantic Segmentation of High-Resolution Remote Sensing Images

Authors: Meng, X.; Zhu, L.; Han, Y.; Zhang, H.

Published in Remote Sensing, 2023, Volume 15(14), Pages 3619.

 

PyRS: A Python Package to Process Remotely Sensed Data for Geomatics Education

Authors: Meng, X.; Han, Y.; Zhang, H.; Song, J.; Liu, Z.

Published in the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives, 2023, Volume 48(5/W1-2023), Pages 21–28.

 

Global-aware Siamese Network for Change Detection on Remote Sensing Images

Authors: Zhang, R.; Zhang, H.; Ning, X.; Wang, J.; Cui, W.

Published in the ISPRS Journal of Photogrammetry and Remote Sensing, 2023, Volume 199, Pages 61–72.

Author Metrics 📊 : 

Published over 20 SCI/El papers.

Secured 6 patents.

Authored a monograph.

📅 Research Timeline:

2010-2014: BSc in Remote Sensing Science and Technology, Wuhan University.

2014-2019: PhD in Photogrammetry and Remote Sensing, Wuhan University.

Ongoing: Current position as an Assistant Researcher at the Chinese Academy of Surveying & Mapping, with a focus on urban expansion monitoring and technical research.

This summarizes Hanchao Zhang’s impressive journey, emphasizing significant achievements, contributions, and ongoing dedication to advancing remote sensing technology.