Dr. Florian Mandija | Climate Studies | Best Researcher Award

Dr. Florian Mandija | Climate Studies | Best Researcher Award

Dr. Florian Mandija, CNRS, France

Dr. Florian Mandija is a scientific researcher at the Institute Pierre Simon Laplace (IPSL) and the National Center for Scientific Research (CNRS) in Paris, France. With a focus on environmental studies, his expertise spans data analysis, statistics, air pollution monitoring, aerosol research, atmospheric sciences, urban air quality, emission assessments, and electromagnetic exposure. Dr. Mandija has authored 49 peer-reviewed articles (41 as the first author), 57 conference presentations (37 as the first author), 8 conference proceedings, 22 review articles, and 9 funded research projects. He collaborates with 23 international research institutions, comprising 37 researchers. His research interests include atmospheric and environmental issues, particularly air pollution and aerosol studies. He holds a Ph.D. in atmospheric sciences and has worked in multidisciplinary research fields, including aerosol studies and remote sensing methods. Additionally, he has held teaching positions, including at Sorbonne University and the Institute of Higher Electronics in Paris, and is a research consultant at Science for Change in Barcelona. Dr. Mandija has contributed significantly to international research, including collaborations in Canada, Poland, Spain, and Italy, and his work has been published in prominent scientific journals.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. Mandija’s primary research interests lie in atmospheric sciences, with a particular focus on aerosol studies, air pollution, and climate change. His work on these critical issues addresses environmental challenges that have global implications. His contributions have been widely recognized through numerous publications (49 articles, 41 as the first author) and international presentations (57, with 37 as the first author). His research has been published in peer-reviewed journals, demonstrating his leadership in the field.

Education:

  • Ph.D. in Atmospheric Sciences, 2012
    University of Shkodra, Albania
    Thesis: Research on aerosols, atmospheric electricity, and ion clusters.

Work Experience:

  • Product Manager, Kunlun Digital Technology Co., Ltd.
    Paris, France
    Current role focusing on AI and IoT applications for the oil and gas industry, edge intelligence, and cloud-edge collaborative technologies.
  • Postdoctoral Researcher, National Center for Scientific Research (CNRS) / Institute Pierre Simon Laplace (IPSL)
    Paris, France
    Worked in two laboratories: Laboratory of Dynamic Meteorology (LMD) on the Banteque project, and Laboratory of Atmospheres, Spatial Observations (LATMOS) on the Contrails project.
  • Consulting Researcher, Science for Change (SfC)
    Barcelona, Spain
    Focused on odor pollution, modeling methodologies, and societal involvement, including the improvement of the OdourCollect application.
  • Professor, Institut Supérieur d’Électronique de Paris (ISEP)
    Paris, France
    Taught electromagnetism, waves, and environmental radiation, particularly in atmospheric and environmental physics.
  • Postdoctoral Researcher, Environmental Physics Laboratory, University of Vigo
    Vigo, Spain
    Studied aerosol events over Europe, focusing on coarse mode aerosols and using models like BSC-DREAM8b, AERONET, and satellite products.
  • Researcher, Geophysical Institute, University of Warsaw
    Warsaw, Poland
    Analyzed biomass combustion aerosols during summer 2015, using AERONET data for polarization analysis.
  • Researcher, Andalusian Interuniversity Institute of Earth System Research (IISTA) / Polytechnic University of Catalonia (UPC)
    Granada and Barcelona, Spain
    Investigated desert dust intrusions in the Iberian Peninsula, studying optical/microphysical properties of aerosols during transport.
  • Researcher, Department of Physics, University of Milan
    Milan, Italy
    Focused on theoretical interpretation of ion clusters and ultrafine aerosol particle equilibrium in atmospheric research.

Publication top Notes:

Climatology of Cirrus Clouds over Observatory of Haute-Provence (France) Using Multivariate Analyses on Lidar Profiles

Desert dust episodes over the Region of Balkan Peninsula

The climatology of dust events over the European continent using data of the BSC-DREAM8b model

The climatology of dust events over the European continent using data of the BSC-DREAM8b model

Estimation of the variability of dust aerosol optical depth over several European regions based on the forecast model data

Dr. Zhan Chen | Smart Sensors | Best Researcher Award

Dr. Zhan Chen | Smart Sensors | Best Researcher Award

Dr. Zhan Chen, Northwestern Polytechnical University, China

Chen Zhan is a dedicated Doctoral Student at the Unmanned System Research Institute of Northwestern Polytechnical University in Xi’an, China. With a strong background in Mechatronic Engineering, he is committed to advancing the field of intelligent unmanned systems. His research emphasizes multi-agent consistency, information fusion, and UAV formation control. Chen is actively involved in innovative projects that explore state estimation and planning control, contributing significantly to the evolving landscape of autonomous technologies. With a passion for collaboration and cutting-edge research, Chen is poised to make impactful contributions to the realm of unmanned systems, making him a promising figure in the scientific community.

Professional Profile 

orcid

Summary of Suitability for the Award

Chen Zhan’s impressive academic credentials, relevant research experience, and notable contributions to the field of unmanned systems make him a suitable candidate for the Best Researcher Award. His work addresses significant challenges in UAV technology and showcases a commitment to advancing the field through innovative research. Granting him this award would not only recognize his individual efforts but also encourage continued exploration and advancement in unmanned systems research.

 🎓 Education 

Chen Zhan earned his Bachelor of Science degree in Mechatronic Engineering from Tianjin University of Science and Technology in 2018. He is currently pursuing his Ph.D. in intelligent unmanned systems science and technology at Northwestern Polytechnical University, where he is deepening his understanding of advanced technologies in autonomous systems. His academic journey has equipped him with a solid foundation in engineering principles and practical applications. Chen’s education combines theoretical knowledge with hands-on experience, enabling him to approach complex problems with innovative solutions. His commitment to academic excellence and research in unmanned systems sets a strong precedent for his future contributions to the field.

 💼 Experience 

As a Doctoral Student at the Unmanned System Research Institute, Chen Zhan has engaged in various research projects focusing on multi-agent systems and UAV technologies. His work includes developing algorithms for state estimation and guidance in unmanned aerial vehicles. In addition to his research, he collaborates with peers and mentors, contributing to academic conferences and publications that advance knowledge in the field. Chen’s experience in both individual and collaborative projects has strengthened his skills in information fusion, planning control, and game guidance. His practical experiences complement his academic background, making him well-prepared to tackle challenges in intelligent unmanned systems.

 🏅 Awards and Honors 

Chen Zhan has received recognition for his contributions to the field of unmanned systems and robotics. His innovative research on distributed information filtering methods for state estimation has garnered attention at academic conferences, leading to publications in reputable journals. Chen’s commitment to excellence has also earned him scholarships and grants to support his studies and research initiatives. His proactive approach to learning and collaboration with established researchers enhances his visibility within the academic community, paving the way for future accolades and recognition. As he progresses in his career, Chen is poised to achieve further honors that reflect his dedication and impact in the field.

 🌍 Research Focus 

Chen Zhan’s research focuses on intelligent unmanned systems, with specific interests in multi-agent consistency, information fusion, and UAV formation control. His work aims to develop robust algorithms that improve state estimation and planning control in complex environments. By exploring game guidance and multi-aircraft coordination, Chen seeks to enhance the performance and reliability of unmanned systems in various applications. His dedication to advancing knowledge in these areas is evident in his active participation in research projects and conferences. Through innovative methodologies, Chen aims to contribute to the next generation of intelligent systems, fostering advancements in autonomous technologies.

Publication Top Notes

Layout of Detection Array Based on Multi-Strategy Fusion Improved Adaptive Mayfly Algorithm in Bearing-Only Sensor Network
Distributed Cubature Information Filtering Method for State Estimation in Bearing-Only Sensor Network