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

Assoc Prof Dr. Wujing Cao | Intelligent Agriculture Award | Best Researcher Award

Assoc Prof Dr. Wujing Cao | Intelligent Agriculture Award | Best Researcher Award 

Assoc Prof Dr. Wujing Cao, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Wujing Cao is an Associate Professor at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), and serves as a Master’s thesis supervisor at the University of Chinese Academy of Sciences. Recognized as a young talent by the China Association for Science and Technology, recommended by the Chinese Society of Rehabilitation Medicine, his research focuses on lower limb exoskeletons and intelligent prosthetics. He has led or contributed to 10 national, provincial, and municipal research projects, publishing 20 SCI-indexed journal articles, including 2 ESI Highly Cited Papers as first or corresponding author. With 25 patents to his name, Wujing has earned several prestigious awards, including the Second Prize of the Science and Technology Award from the Chinese Society of Rehabilitation Medicine and the Chapecoense Outstanding Young Scholar Award. His contributions have also been instrumental in winning the First Prize for Technological Invention in Guangdong Province and Shenzhen City, as well as the Second Prize for Scientific and Technological Progress in Chongqing Municipality. He currently holds several prominent roles, including Standing Committee Member and Secretary-General of the Youth Working Committee of the Chinese Society of Rehabilitation Medicine, youth editorial board member of the “Robot” magazine, and special issue editor for three SCI-indexed journals.

Professional Profile:

ORCID

Suitability for the Best Researcher Award: Wujing Cao

In evaluating Wujing Cao’s suitability for the Best Researcher Award, his academic and research accomplishments make a strong case. As an Associate Professor at the Shenzhen Institute of Advanced Technology, CAS, and a Master’s supervisor at the University of Chinese Academy of Sciences, his research focuses on lower limb exoskeletons and intelligent prosthetics—both critical areas in rehabilitation technology and biomechatronics. Supported by the China Association for Science and Technology, he has demonstrated leadership in these fields.

Education:

  • Ph.D. (Details about the institution and year are not provided)
  • Master’s Thesis Supervisor, University of Chinese Academy of Sciences

Professional Experience:

  • Associate Professor, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS)
  • Master’s Thesis Supervisor, University of Chinese Academy of Sciences
  • Young Talent, Supported by the China Association for Science and Technology (recommended by the Chinese Society of Rehabilitation Medicine)

Publication top Notes:

Modeling and Rotation Control of Servo System With Flexible Structure Based on New Deformation Description

Rotation Angle Control Strategy for the Hip Joint of an Exoskeleton Robot Assisted by Paraplegic Patients Considering Time-Varying Inertia

The Human–Machine Interface Design Based on sEMG and Motor Imagery EEG for Lower Limb Exoskeleton Assistance System

An Autoencoder-Based Feature Extraction Method Applied to the Detection of Lateral Walking Gait Phase

Development and Evaluation of a Hip Exoskeleton for Lateral Resistance Walk Exercise

Inertial Sensing for Lateral Walking Gait Detection and Application in Lateral Resistance Exoskeleton