Prof. Dr. Ousmane Thiare | Smart agriculture Awards | Excellence in Research

Prof. Dr. Ousmane Thiare | Smart agriculture Awards | Excellence in Research 

Prof. Dr. Ousmane Thiare, Université Gaston Berger, Senegal

Professor Ousmane Thiare is a distinguished academic from Senegal, currently serving as a Professor Titulaire [Classe exceptionnelle] at Gaston Berger University in Saint-Louis. He began his academic journey at UGB in 1994, earning a DEA in Applied Mathematics in 2000 and later pursuing further studies in France, where he obtained a second DEA in Computer Science and a Doctorate from CY Cergy Paris University in 2007. Alongside his studies, he has held various teaching positions at UGB, progressing from Assistant to Maître de Conférences HDR before becoming a full professor in 2015. Professor Thiare has also served as an Associate Professor at the African University of Science and Technology in Nigeria since 2014. His administrative roles include heading the Computer Science Department and directing the Centre de Calcul Ousmane Seck. As a recognized expert evaluator for the National Authority for Quality Assurance in Higher Education since 2014, he has significantly contributed to the academic landscape, including leading the African Center of Excellence for Mathematics, Computer Science, and ICT from 2017 to 2020. Notably, he was appointed Rector of Gaston Berger University from May 2018 to March 2023, overseeing academic programs and implementing strategic initiatives to enhance the university’s global competitiveness. With a robust background in research and a commitment to improving educational outcomes, Professor Thiare continues to be a pivotal figure in the advancement of higher education in Senegal and beyond.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Ousmane Thiare

Research Focus and Contributions: Ousmane Thiare is a highly accomplished researcher in the field of computer science, specifically focusing on wireless sensor networks (WSN), the Internet of Things (IoT), and distributed systems. With a robust academic background, he holds a PhD in computer science from Cergy Paris Université and has served as a full professor at Gaston Berger University in Senegal since 2002. His extensive research contributions, totaling over 80 published works, demonstrate his impact on the scientific community, particularly in developing innovative solutions for IoT and network systems.

🎓 Education

  • Doctorat Unique en Informatique
    CY Cergy Paris Université, France (2007)
  • DEA en Informatique
    École Polytechnique de l’Université François Rabelais de Tours, France (2002)
  • DEA en Mathématiques Appliquées
    Université Gaston Berger, Saint-Louis, Sénégal (2000)

💼 Work Experience

  • Professeur Titulaire de Classe Exceptionnelle
    Université Gaston Berger, Saint-Louis, Sénégal (Depuis avril 2021)
  • Professeur Associé
    African University of Science and Technology (AUST), Abuja, Nigéria (Depuis avril 2014)
  • Professeur Titulaire des Universités
    Université Gaston Berger, Saint-Louis, Sénégal (Depuis juillet 2015)
  • Maître de Conférences HDR en Informatique
    Université Gaston Berger, Saint-Louis, Sénégal (2010-2015)
  • Maître Assistant Titulaire en Informatique
    Université Gaston Berger, Saint-Louis, Sénégal (2008)
  • Assistant Titulaire en Informatique
    Université Gaston Berger, Saint-Louis, Sénégal (2002)
  • Recteur et Président du Conseil Académique
    Université Gaston Berger, Saint-Louis, Sénégal (Mai 2018 – Mars 2023)

🌟 Achievements

  • Directeur du Centre d’Excellence Africain pour les Mathématiques, Informatique et TIC (CEA-MITIC)
    (2017-2020) – Projet de 8 millions de dollars de la Banque Mondiale pour la formation en Mathématiques, Informatique et TIC.
  • Expert Évaluateur
    Autorité Nationale d’Assurance Qualité de l’Enseignement Supérieur (ANAQ-Sup) depuis 2014.
  • Membre du Conseil Scientifique et Pédagogique
    École Doctorale des Sciences et des Technologies, Université Gaston Berger (2014-2019).

🏅 Awards and Honors

  • Professeur Titulaire de Classe Exceptionnelle
    Université Gaston Berger (2021) – Reconnaissance pour l’excellence académique et l’engagement en enseignement supérieur.

Publication Top Notes:

A Hybrid Biologically-Inspired Optimization Algorithm for Data Gathering in IoT Sensor Networks

A collaborative WSN-IoT-Animal for large-scale data collection

A comparative study of Machine Learning and Deep Learning methods for flood forecasting in the Far-North region, Cameroon

A Lightweight Authenticated Key Agreement Scheme for Resource-Constrained Devices Based on Implicit Certificates and Finite Graphs

Correlation Clustering Adapted for Cell Site Management of Mobile Networks in Developing Countries

Angelo Azevedo | Internet of Things | Best Researcher Award

Dr. Angelo Azevedo | Internet of Things | Best Researcher Award

A PhD student at ESALQ / USP, Brazil

Angelo Tiago Azevedo is a dedicated researcher and educator specializing in Agricultural Systems Engineering. He graduated with a degree in Agricultural and Environmental Engineering from UFRRJ in 2019 and earned his Master’s from ESALQ – USP in 2021, focusing on irrigation. Currently, he is pursuing his Ph.D. in Agricultural Systems Engineering at the same institution, working under the guidance of Rubens Duarte Coelho. His research interests lie in agricultural automation, irrigation management, and the integration of technology in agriculture. Azevedo is also actively involved in teaching at the Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro, where he imparts knowledge in irrigation, hydraulics, and geoprocessing. His commitment to sustainable agricultural practices is reflected in his ongoing projects and collaborations.

Profile:

Scopus Profile

Strengths for the Award:

  1. Strong Educational Background: Angelo Tiago Azevedo has an impressive academic trajectory, with a Bachelor’s degree in Agricultural and Environmental Engineering, a Master’s in Agricultural Systems Engineering, and ongoing PhD studies at a prestigious institution (ESALQ – USP). His solid foundation in agrarian sciences and engineering enhances his research credibility.
  2. Focused Research Contributions: Azevedo’s research is highly specialized in irrigation, agricultural automation, and instrumentation. His work on automatic irrigation management systems and energy partitioning in crops demonstrates his commitment to addressing critical challenges in modern agriculture.
  3. Diverse Project Involvement: He has participated in multiple research projects that explore various aspects of agricultural productivity, such as evaluating crop adaptability under different irrigation regimes and developing innovative irrigation systems. This breadth of experience showcases his versatility and ability to tackle diverse agricultural issues.
  4. Teaching and Mentorship: As a teacher in technical and technological education, Azevedo actively contributes to the development of future professionals in his field. His involvement in guiding students through research projects highlights his commitment to education and mentorship.
  5. Recognition and Awards: Azevedo has received accolades for his work in scientific research, including recognition for his presentations at academic conferences. This indicates that his peers value his contributions and insights.
  6. Editorial and Peer Review Roles: His position on the editorial board of a scientific journal and as a referee for academic publications demonstrates his recognition as a knowledgeable figure in his field, contributing to the quality and rigor of agricultural research.

Areas for Improvement:

  1. Publication Volume: While Azevedo has published significant work, increasing the volume of publications in high-impact journals could enhance his visibility and influence within the scientific community.
  2. Language Proficiency: Although he has reasonable comprehension of English and Spanish, improving his fluency in these languages could broaden his opportunities for international collaboration and dissemination of research findings.
  3. Interdisciplinary Collaboration: Engaging more with researchers from related fields, such as environmental science, technology, and data science, could lead to innovative approaches and enhance the applicability of his research.
  4. Outreach and Communication: Developing skills in science communication could help him effectively share his research findings with broader audiences, including policymakers and practitioners, increasing the impact of his work.

Education:

Angelo Tiago Azevedo holds a Bachelor’s degree in Agricultural and Environmental Engineering from the Universidade Federal Rural do Rio de Janeiro (UFRRJ), completed in 2019. He further pursued a Master’s in Agricultural Systems Engineering at ESALQ – USP, where he graduated in 2021, specializing in irrigation management. Currently, he is a Ph.D. candidate in Agricultural Systems Engineering at ESALQ – USP, focusing on automation and instrumentation in agriculture, particularly irrigation systems. His academic journey has been marked by significant contributions to research, supported by grants from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). Azevedo has also enhanced his expertise through various complementary courses, including advanced training in irrigation systems and programming languages, positioning him as a knowledgeable figure in the fields of agronomy and agricultural engineering.

Experience: 

Angelo Tiago Azevedo has extensive experience in agricultural research and education. He has worked as a consultant in Agri-Environmental Systems and has participated in various research projects, including the development of automatic irrigation systems and agricultural automation technologies. Azevedo has served as a research assistant at both UFRRJ and ESALQ – USP, contributing to significant projects such as the automatic weight control system for beehives. Currently, he is a researcher and educator at the Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro, where he teaches courses on irrigation, hydraulics, and geoprocessing. His professional experience also includes coordinating research activities related to irrigation management, crop productivity, and resource optimization. Azevedo’s active involvement in research projects showcases his commitment to advancing agricultural practices and enhancing the efficiency of irrigation systems.

Awards and Honors:

Angelo Tiago Azevedo has been recognized for his contributions to agricultural science through various awards and honors. In 2018, he received accolades for his outstanding work presented at the VI Reunião Anual de Iniciação Científica da UFRRJ, specifically for projects on hydraulic conductivity and automation in soil analysis. His innovative research has been acknowledged for its practical applications in irrigation management. Azevedo was also awarded an Honorable Mention in the 7th Mathematics Olympiad (OBMEP) in 2011, reflecting his strong analytical skills. These achievements highlight his commitment to excellence in research and education, motivating him to contribute further to the field of agricultural engineering. His dedication to sustainability and efficiency in agriculture continues to earn him recognition within the academic community.

Research Focus:

Angelo Tiago Azevedo’s research focus is centered on agricultural automation and instrumentation, particularly within irrigation management. His work aims to optimize water usage and enhance crop productivity through advanced technologies and systems. Azevedo explores the development of automated irrigation systems that integrate climate and soil data to improve resource efficiency. His current projects include evaluating the adaptability of various crop cultivars under different irrigation techniques and developing intelligent systems for precision agriculture. He also investigates the effects of water quality on crop yield, specifically examining the impacts of high electrical conductivity on lettuce production. Azevedo’s research contributions are vital in promoting sustainable agricultural practices and improving the overall efficiency of irrigation systems, addressing the growing challenges of water scarcity and food security.

Publications Top Notes:

  • Development of an Automatic Weather Station for Irrigation Management via IoT
  • Water Use Efficiency and Canopy Temperature Response of Soybean Subjected to Deficit Irrigation

Conclusion:

Angelo Tiago Azevedo is a strong candidate for the Research for Best Researcher Award, with a robust educational background, focused research initiatives, and a commitment to teaching and mentorship. His contributions to agricultural engineering and irrigation management are significant and impactful. By addressing areas for improvement, such as increasing publication volume and enhancing language skills, Azevedo can further solidify his reputation and influence in the field. His dedication to innovation in agricultural practices positions him as a valuable asset to the scientific community and the agricultural sector.

Dr. Bingwen Qiu | Crop Monitoring Award | Women Researcher Award

Dr. Bingwen Qiu | Crop Monitoring Award | Women Researcher Award 

Dr. Bingwen Qiu, Fuzhou University, China.

Dr. Qiu Bingwen is a Research Professor at the Key Laboratory of Spatial Data Mining & Information Sharing of the Ministry of Education, based at Fuzhou University in Fujian, China. He holds a Ph.D. in Cartology and GIS from the Graduate School of the Chinese Academy of Sciences, where he conducted multi-scale analyses of regional land use patterns. Dr. Qiu’s research interests center on mapping cropping systems at large scales using optical and radar time series datasets, integrating spatial data for environmental assessment. He has held visiting scholar positions at the Carnegie Institution for Science and the University of Cambridge, working under renowned scientists such as Joe Berry and Robert Haining. His academic background includes a Master’s degree in Environmental Engineering from Huazhong Agricultural University and a Bachelor’s degree in Soil Science from Hunan Agricultural University.

Professional Profile:

SCOPUS

Summary of Suitability for Women Researcher Award:

Dr. Qiu Bingwen, a Research Professor with extensive experience in GIS, cartology, and environmental engineering, has significantly contributed to mapping large-scale cropping systems using optical and radar datasets. She has multiple high-impact publications in the fields of agricultural systems, crop mapping, and sustainability, indicating a strong research portfolio. Dr. Qiu’s academic path includes a Ph.D. from the Chinese Academy of Sciences and multiple visiting scholar appointments at prestigious institutions like the Carnegie Institution for Science and the University of Cambridge.

Education:

  • Ph.D. in Cartology and GIS
    Institute of Geographic Sciences and Natural Resources Research, Graduate School of Chinese Academy of Sciences, Beijing, China
    Sept 2002 – Jun 2006
    Dissertation: Multi-scale analysis of regional land use patterns and its change modeling
    Supervisor: Tianhe Chi
  • Master of Science in Environmental Engineering
    Huazhong Agricultural University, Wuhan, China
    Sept 1997 – Jun 2000
    Thesis: Water & Land Resource analysis and Assessment in South Lake and Shizi Mountain area of Wuhan city Based on GIS
  • Bachelor of Agronomy in Soil Science
    Hunan Agricultural University, Changsha, China
    Sept 1993 – Jun 1997

Work Experience:

  • Visiting Scholar
    Carnegie Institution for Science, Department of Global Ecology
    Sept 2018 – March 2021
    Supervisors: Joe Berry, Gregory P. Asner
  • Visiting Scholar
    University of Cambridge, Department of Geography
    Aug 2009 – Aug 2010
    Supervisor: Robert Haining

Publication top Notes:

National-scale 10-m maps of cropland use intensity in China during 2018–2023

A temporal-spatial deep learning network for winter wheat mapping using time-series Sentinel-2 imagery

National-scale 10 m annual maize maps for China and the contiguous United States using a robust index from Sentinel-2 time series

Mapping upland crop–rice cropping systems for targeted sustainable intensification in South China

Unveiling grain production patterns in China (2005–2020) towards targeted sustainable intensification

Where is tea grown in the world: A robust mapping framework for agroforestry crop with knowledge graph and sentinels images