Dr. Florian Mandija | Climate Studies | Best Researcher Award

Posted on by ScienceFather

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:

ORCID

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 SupĂ©rieur 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. Redouane Larbi Boufeniza | Climat award | Excellence in Research

Posted on by ScienceFather

Dr. Redouane Larbi Boufeniza | Climat award | Excellence in Research

Dr. Redouane Larbi Boufeniza, nanjing university of information science and technology, China

Boufeniza Redouane Larbi, is a multidisciplinary researcher and engineer with extensive experience in marine science, remote sensing, and coastal management. He holds a Bachelor’s degree from Abd ELHAK BENHAMOUDA High School and a Master’s degree in Marine Science from the Higher National School of Marine Sciences and Coastal Management (ENSSMAL) in Algeria. In 2021, he earned a Ph.D. in Space Oceanography and Coastal Monitoring, focusing on evaluating the color and biological quality of Algiers’ coast using multispectral satellite imagery. His research interests span marine science, remote sensing, GIS, climate studies, and the application of artificial intelligence in fisheries and aquaculture.

Professional Profile:

Summary of Suitability for Excellence in Research: 

Boufeniza Redouane Larbi’s academic and professional background is highly suited for consideration under the “Excellence in Research” category, especially within the fields of marine science, remote sensing, GIS, and coastal monitoring. Key elements that highlight his candidacy include.

Education:

  • PhD in Space Oceanography and Coastal Monitoring (May 2021)
    Higher National School of Marine Sciences and Coastal Management (ENSSMAL), Algeria
    Research Topic: Evaluation of color and biological quality of Algiers coast from multispectral satellite imagery.
    Research Laboratories:

    • Laboratory of Marine and Littoral Ecosystems “ECOSSYS MARL” (ENSSMAL)
    • Space Oceanography Laboratory (USTHB)
  • Advanced Master in Sustainable Blue Growth (Feb 2022)
    University of Trieste and OGS, Italy
    Research Topic: Application of artificial intelligence in fishing and aquaculture: A methodological overview.
  • PhD Student in Meteorology (Sep 2022 – Present)
    Nanjing University of Information Science and Technology (NUIST), China
    Research Topic: Deep learning-based downscaling of climate and aquaculture management in the Mediterranean Sea.
    Research Laboratory: Institute of Climate and Application Research (ICAR)
  • Master’s Degree in Marine Science (Jul 2014)
    Higher National School of Marine Sciences and Coastal Management (ENSSMAL), Algeria
    Research Topic: Geographic Information System (GIS) for a bathymetric and sedimentological study in Algiers Bay and El Djamila Bay, Algeria.
  • Engineering Degree in Coastal Management (Jul 2013)
    Higher National School of Marine Sciences and Coastal Management (ENSSMAL), Algeria
    Research Topic: GIS for the spatialization of physicochemical parameters in the Bay of Algiers.
  • Fishing Lieutenant (Jul 2012)
    Higher National Institute of Fisheries and Aquaculture (INSPA), Algeria
  • Bachelor’s Degree (Jun 2008)
    Abd ELHAK BENHAMOUDA High School, Algeria

Work Experience:

  • Engineer Project Manager (Feb 2015 – Jun 2021)
    Public Works Directorate, Marine and Airport Infrastructure Services, Algeria
  • University Teacher (Substitute, 2015–2019)
    University of Science and Technology Houari Boumediene (USTHB), Algeria

    • Taught Biostatistics and Mathematical Statistics and Computing (MSI) modules.
  • University Teacher (Substitute, 2016–2017)
    Higher National School of Marine Sciences and Coastal Management (ENSSMAL), Algeria

    • Taught Remote Sensing and Computer Science (Practical Work) modules.
  • Engineer Project Manager (Sep 2014 – Feb 2015)
    National Office of Management and Restructuring, Algeria

Publication top Notes:

Deep learning for sea surface temperature applications: A comprehensive bibliometric analysis and methodological approach

Spatio-temporal quantification and distribution of diatoms and dinoflagellates associated with algal blooms and human activities in Algiers Bay (Algeria) using Landsat-8 satellite imagery

Quantification of phytoplanktonic algae density in algiers bay (Algeria) by combining in situ measurements and landsat satellite images

Estimation of dinoflagellate and diatoms algae in algiers bay from landsat satellite data

Using GIS for spatio-temporal assessment of some physicochemical parameters in the bay of Algiers

Prof. Marcos Bamonte | Environmental monitoring Award | Best Researcher Award

Posted on by ScienceFather

Prof. Marcos Bamonte | Environmental monitoring Award | Best Researcher Award

Prof. Marcos Bamonte ,Universidad Austral,Argentina

Marcos F. Bamonte is a distinguished M.Sc. Eng. Professor with over 16 years of expertise in Robotics and Automatic Control Systems. He holds a Master’s degree in Numerical Simulation and Control from Universidad de Buenos Aires and is currently pursuing a Ph.D. at Universidad Austral. His research focuses on emotion recognition through biometric sensors and artificial intelligence. Marcos is committed to fostering intellectual and cultural growth among students, demonstrated through his role in educational projects and his coordination of the Univ Cono Sur International Congress. Proficient in programming languages such as Python and LaTeX, he combines his technical skills with a dedication to innovation and learning. His volunteering work with “Universitarios para el Desarrollo” highlights his strong commitment to humanitarian efforts and community development.

Professional Profile:

Orcid

Summary of Suitability for the Best Researcher Award

Marcos F. Bamonte is highly suitable for the Best Researcher Award due to his significant contributions to the fields of robotics, control systems, and artificial intelligence. His innovative research on emotion recognition, combined with his extensive experience, academic achievements, leadership roles, and commitment to community service, make him an exemplary candidate. Marcos’s work not only advances scientific knowledge but also contributes to societal well-being, aligning well with the criteria for the Best Researcher Award.

🎓Education:

Marcos F. Bamonte is currently a Ph.D. candidate in Engineering at Universidad Austral in Buenos Aires, Argentina, a position he has held since 2020. He earned his Master of Science in Numerical Simulation and Control from Universidad de Buenos Aires, graduating in 2016. His academic journey began with a degree in Electronic Engineering from Instituto TecnolĂłgico de Buenos Aires (ITBA), where he completed his studies in 2001.

🏢Work Experience:

Marcos F. Bamonte has been serving as an Associate Professor at Universidad Austral in Buenos Aires, Argentina, since 2023, where he teaches courses in Control Systems, Automation, and Robotics. Prior to this role, he was an Assistant Professor at the same institution from 2016 to 2022, also focusing on Control Systems, Automation, and Robotics. From 2002 to 2010, he held the position of Head of Practical Work, where he taught various courses including Logic and Digital Circuits, Electronic Circuits, Introduction to Computing, and Digital Systems Design.

🏆Awards and Recognition:

Marcos F. Bamonte was honored with the Outstanding Achievement in Educational Projects award by Universidad Austral in 2023, acknowledging his innovative approaches to educational project development and implementation. Additionally, he received Recognition for Humanitarian Efforts from Universitarios para el Desarrollo in 2022, highlighting his significant contributions to humanitarian initiatives and community development.

Publication Top Notes:

  • Title: Emotion Recognition Based on Galvanic Skin Response and Photoplethysmography Signals Using Artificial Intelligence Algorithms
  • Title: Determining the Optimal Window Duration to Enhance Emotion Recognition Based on Galvanic Skin Response and Photoplethysmography Signals
  • Title: Determining the Optimal Window Duration to Enhance Emotion Recognition Based on Galvanic Skin Response and Photoplethysmography Signals