Francesco Mercogliano | Electromagnetic Sensing System | Best Researcher Award

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Francesco Mercogliano | Electromagnetic Sensing System | Best Researcher Award

Dr. Francesco Mercogliano, University of Naples Parthenope , Italy.

Dr. Francesco Mercogliano is a dedicated PhD student in Information and Communication Technology and Engineering at the University of Naples “Parthenope,” Italy. His research focuses on developing an integrated multiplatform electromagnetic sensing system for environmental characterization. With a Master’s degree in Geology and Applied Geology and a Bachelor’s degree in Geological Sciences, Francesco has demonstrated exceptional academic prowess, achieving cum laude honors. His internships with renowned institutes, including the National Research Council and the National Institute of Geophysics and Volcanology, have further honed his skills in satellite thermal imaging and geophysical data analysis. 🌍📚💻

Publication Profile

Googlescholar

Education and Experience

  • PhD Student in Information and Communication Technology and Engineering (39th Cycle)
    University of Naples “Parthenope,” Naples, Italy (2023 – Present)

    • Research Focus: Development of an integrated multiplatform electromagnetic sensing system for environmental characterization.
  • Master’s Degree in Geology and Applied Geology (LM-74)
    University of Naples “Federico II,” Naples, Italy (2021 – 2023)

    • Grade: 110/110 cum laude
    • Thesis: Analysis of Land Surface Temperature (LST) in the Campi Flegrei caldera.
  • Bachelor’s Degree in Geological Sciences (L-34)
    University of Naples “Federico II,” Naples, Italy (2018 – 2021)

    • Grade: 110/110 cum laude
    • Thesis: Remote sensing application to detect Land Surface Temperature in volcanic regions.
  • Internships:
    • National Research Council (CNR) – Institute for Electromagnetic Sensing of the Environment (IREA) (April 2023 – June 2023)
      • Analyzed satellite thermal images for LST mapping.
    • National Institute of Geophysics and Volcanology (INGV) (May 2022 – September 2022)
      • Processed GNSS-RTK data to monitor ground deformation.
    • CNR – IREA (October 2019 – January 2020)
      • Conducted geothermal monitoring using thermal remote sensors.

Suitability For The Award

Dr. Francesco Mercogliano is an exemplary candidate for the Best Researcher Award, currently pursuing a Ph.D. in Information and Communication Technology and Engineering at the University of Naples “Parthenope.” His research focuses on developing an integrated electromagnetic sensing system for environmental characterization, showcasing his commitment to innovation. With top honors in both his Master’s and Bachelor’s degrees from the University of Naples “Federico II,” and hands-on experience at the National Research Council and the National Institute of Geophysics and Volcanology, Francesco’s academic excellence and technical skills position him as a promising researcher in environmental science.

Professional Development

Francesco Mercogliano has actively pursued professional development through hands-on internships and research projects in prestigious organizations such as the National Research Council (CNR) and the National Institute of Geophysics and Volcanology (INGV). His work includes analyzing satellite thermal images for land surface temperature mapping and monitoring ground deformation using GNSS-RTK data. Proficient in MATLAB, Python, and remote sensing techniques, Francesco combines his technical skills with a strong foundation in geology to contribute meaningfully to environmental studies. His dedication to advancing knowledge in geosciences exemplifies his commitment to professional excellence and innovation. 🌱🔍📊

Research Focus

Francesco Mercogliano’s research focuses on developing integrated electromagnetic sensing systems for environmental characterization. His work emphasizes the use of advanced remote sensing technologies to analyze land surface temperature, particularly in volcanic regions like the Campi Flegrei caldera. By employing methods such as Independent Component Analysis (ICA), Francesco aims to identify thermal anomalies that can inform geological studies and risk assessment. His interdisciplinary approach combines principles of geology, remote sensing, and data analysis, contributing significantly to environmental monitoring and understanding of geological phenomena. 🌋📈💡

Awards and Honors

  • Research Internship Recognition at the National Research Council (CNR) 🌟
  • Outstanding Contribution Award at National Institute of Geophysics and Volcanology (INGV) 🌌

Publication Top Notes

  • Thermal Patterns at the Campi Flegrei Caldera Inferred from Satellite Data and Independent Component Analysis (2024) 📡🌋
  • Remote detection of Thermal Anomalies at Campi Flegrei caldera via Independent Component Analysis (ICA) (2024) 🔍📊
  • Airborne Synthetic Aperture Radar and Electromagnetic Technologies of the Italian Earth Observation Platform ITINERIS  (2024) ✈️🛰️
  • Multiparametric and Multiplatform Detection of Ongoing Unrest Processes in Active Resurgent Calderas: A Case Study of the Campi Flegrei Caldera (2024) 🌍⚠️

Dr. Florian Mandija | Climate Studies | Best Researcher Award

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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 SupĂŠrieur 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.Reza Askari Moghadam | Bio Sensor Awards | Best Researcher Award

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Dr.Reza Askari Moghadam | Bio Sensor Awards | Best Researcher Award-5093

Dr.Reza Askari Moghadam, Sorbonne UniversitĂŠ, France

Reza Askari Moghadam is a distinguished academic and researcher currently serving as a Lecturer at Sorbonne UniversitĂŠ in Paris, France, specializing in electronics and mechatronics. He holds a Ph.D. in Electronics from the Islamic Azad University (IUST), where he conducted innovative research on intelligent fault detection in RF MEMS, funded by the Iranian Telecommunications Research Center. With over a decade of experience as a Tenured Lecturer at the University of Tehran, Reza has significantly contributed to the fields of sensors, actuators, microfluidics, and artificial intelligence. His extensive teaching background encompasses more than 4,600 hours of instruction across various degree programs, from bachelor’s to doctoral levels. Reza’s research output includes 58 articles in international journals and 59 conference papers, highlighting his active engagement in advancing knowledge in his field. He has also participated in multiple collaborations and projects in Europe, further enriching his academic portfolio. In addition to his research and teaching, he possesses a robust skill set in various software tools, including Python, MATLAB, and COMSOL, which support his ongoing contributions to engineering and technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: 

Reza Askari Moghadam is an accomplished academic and researcher in the field of Electronics and Engineering, with a solid track record of teaching, research, and publication. His diverse experiences, educational background, and substantial contributions to the field make him a strong candidate for the Best Researcher Award.

Education

  1. Ph.D. in Electronics
    • Institution: Islamic Azad University (IUST), Tehran, Iran
    • Years: 2001 – 2007
    • Thesis: “Intelligent Detection of Faults in RF MEMS”
    • Funding: Iranian Telecommunications Research Center (ITRC)
  2. Master’s Degree in Electrical Engineering (Specialization: Control)
    • Institution: Islamic Azad University (IUST), Tehran, Iran
    • Years: 1998 – 2001
    • Thesis: “Design, Implementation, and Control of a Robotic Arm”
    • Funding: Electronics Research Center, IUST
  3. Bachelor’s Degree in Electrical Engineering (Specialization: Electronics)
    • Institution: University of Petroleum Industry, Iran
    • Years: 1993 – 1998
    • Thesis: “Design and Implementation of an EEPROM Programmer”

Professional Experience

  1. Lecturer
    • Institution: Campus Pierre et Marie Curie, Sorbonne UniversitĂŠ, Paris, France
    • Years: Sep. 2023 – Present
  2. Temporary Teaching and Research AttachĂŠ (ATER)
    • Institution: Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), UPEC, France
    • Years: Jan. 2022 – Sep. 2023
    • Notes: Contract renewed in September 2022
  3. Tenured Lecturer
    • Institution: Department of “Mechatronics & MEMS”, Faculty of New Sciences and Technologies, University of Tehran (UT), Iran
    • Years: Sep. 2012 – Jan. 2022

Research Activities

  • Collaborated with LISSI Laboratory, UPEC, France since 2016.
  • Visiting Researcher at Nano Center, University of Southampton, UK (2010, three months).
  • Attended Synchrotron Summer School at Daresbury Synchrotron Laboratory, UK (2004, one month).

Publication top Notes:

Simplified U-Net as a deep learning intelligent medical assistive tool in glaucoma detection

High speed universal NAND gate based on weakly coupled RF MEMS resonators

Microfluidics chip inspired by fish gills for blood cells and serum separation

Theoretical and experimental evaluation of small flow rate ultrasonic flowmeter

Design optimization of a heat-to-cool Stirling cycle using artificial neural network

A novel Gamma-type duplex Stirling system to convert heat energy to cooling power: Theoretical and experimental study

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

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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