Ousmane Thiare | Smart agriculture | Best Researcher Award

Prof. Dr Ousmane Thiare |  Smart agriculture |  Best Researcher Award

Gaston Berger University of Saint-Louis,  Senegal

Professor Ousmane Thiaré has a distinguished academic and professional career, primarily at Gaston Berger University (GBU) in Saint-Louis, Senegal, where he has contributed significantly to the fields of computer science and higher education. Thiaré joined GBU in 1994, later obtaining a PhD in Computer Science from CY Cergy Paris University in 2007. His career includes various academic roles at GBU, including Assistant, Assistant Professor, Senior Lecturer, and ultimately Full Professor in 2015, recognized as an Exceptional Class Professor in 2021.

 

Publication Profile

Current Positions:

  • General Manager at the National Cyber-Infrastructure for Higher Education, Research, and Innovation (CINERI), Ministry of Higher Education, Senegal (since June 2022).
  • Full Professor in Computer Science at Gaston Berger University (since April 2021).
  • Head of the RESOCC Research Team (Networks, Communicating Objects, and Cybersecurity) at GBU (since June 2024).
  • Full Member of the National Academy of Sciences and Techniques of Senegal (since December 2021).
  • Expert Evaluator for various international academic projects, including ARES (Belgium), ANR (France), and CAMES (Africa).

Past Leadership Roles:

  • Rector (Vice-Chancellor) of Gaston Berger University (May 2018 – March 2023), leading the university’s academic strategy and operational management.
  • Director of the African Centre of Excellence for Mathematics, Informatics, and ICT (ACE-MITIC), enhancing educational opportunities for youth in STEM (2017-2020).

Professor Thiaré’s extensive leadership experience is complemented by his contributions to digital infrastructure, cyberinfrastructure, and academic excellence at national and international levels, including serving as an advisor on higher education policies and cyber strategies.

Research and Expertise:

Professor Thiaré’s research spans several areas of computer science, including:

  • Distributed systems and resource management
  • Cloud computing and mobile ad hoc networks
  • Artificial intelligence and the Internet of Things (IoT)
  • Cybersecurity, wireless sensor networks, and computing grids

He is also involved in the European Research Project URBANE, focusing on One Health approaches in agroecology.

Notable Contributions:

  • Led the Scholars Program at GBU, securing significant funding to train 1,000 students by 2030 in digital fields, agriculture, health, and engineering.
  • Played a crucial role in CINERI, managing Senegal’s national supercomputing resources and improving digital services for education and research.
  • Supported the development of scientific infrastructure in Senegal and contributed to international collaborations in higher education and research.

Professor Thiaré’s vision continues to shape the future of higher education, digital transformation, and scientific collaboration across Africa and beyond.

Citations:

  • Total Citations: 806
  • Citations Since 2019: 660
  • h-index: 15 (total), 13 (since 2019)
  • i10-index: 26 (total), 17 (since 2019)

Publication Top Note:

  • Enabling Privacy and Security in Cloud of Things: Architecture, Applications, Security & Privacy Challenges
    Published in Applied Computing and Informatics, 2024 – 111 citations.
  • Flood Forecasting Based on an Artificial Neural Network Scheme
    Published in Natural Hazards, 2020 – 75 citations.
  • Resource Allocation Scheme for 5G C-RAN: A Swarm Intelligence Based Approach
    Published in Computer Networks, 2019 – 71 citations.
  • HGC: HyperGraph-Based Clustering Scheme for Power-Aware Wireless Sensor Networks
    Published in Future Generation Computer Systems, 2020 – 52 citations.
  • A Study on IoT Solutions for Preventing Cattle Rustling in the African Context
    Published in ICC, 2017 – 36 citations.
  • Low-Cost Antenna Technology for LPWAN IoT in Rural Applications
    Published in IEEE International Workshop on Advances in Sensors and Interfaces, 2017 – 33 citations.
  • Nature-Based One Health Approaches to Urban Agriculture Can Deliver Food and Nutrition Security
    Published in Frontiers in Nutrition, 2022 – 25 citations.
  • Outdoor Localization and Distance Estimation Based on Dynamic RSSI Measurements in LoRa Networks: Application to Cattle Rustling Prevention
    Published in International Conference on Wireless and Mobile Computing, 2019 – 21 citations.
  • A Comparative Study of Machine Learning and Deep Learning Methods for Flood Forecasting in the Far-North Region, Cameroon
    Published in Scientific African, 2024 – 18 citations.
  • Applications of Probiotic-Based Multi-Components to Human, Animal, and Ecosystem Health: Concepts, Methodologies, and Action Mechanisms
    Published in Microorganisms, 2022 – 18 citations.

 

T Akilan | Precision Agriculture | Excellence in Innovation

Mr  T Akilan |  Precision Agriculture |  Excellence in Innovation

Research Coordinator at  Amity University Kolkata,  India

Akilan Tamilselvan is dedicated to achieving academic excellence and delivering high-quality education with a strong focus on Computer Science. His commitment to fostering a deep understanding of the subject aims to inspire and equip students with the skills needed to excel in the ever-evolving field of technology.

Profile:

Educational Qualifications:

  • Ph.D. (Computer Science and Engineering)
    Galgotias University, Registered in Winter, January 2021
  • M.E. (Computer Science and Engineering)
    Annamalai University, Chidambaram, India (2013-2015)
    Aggregate: 7.58/10.0
  • B.E. (Computer Science and Engineering)
    Annamalai University, Chidambaram, India (2009-2013)
    Aggregate: 7.86/10.0
  • HSC
    Ramasamy Chettiar Town Higher Secondary School, Chidambaram, India (2009)
    Aggregate: 61.75%
  • SSLC
    Ramasamy Chettiar Town Higher Secondary School, Chidambaram, India (2007)
    Aggregate: 71.8%

Teaching Experience

  • Subjects Taught for B.Tech:
    • Introduction to Microprocessor
    • Object Oriented System Design
    • Web Technology
    • Operating System

Professional Experience

  • Research Coordinator
    Amity University, Kolkata, India (September 2022 – Present)
  • Assistant Professor
    Apex Institute of Technology (Chandigarh University), Mohali, Punjab, India (August 2022 – September 2022)
  • Assistant Professor
    Galgotias College of Engineering and Technology, Greater Noida, Delhi NCR, India (July 2018 – July 2022)
  • Data Science Team Lead
    Singapore Leads Inc., India (January 2018 – June 2018)
  • Operations Controller
    SBP Global Pte Ltd, Singapore (September 2017 – November 2017)
  • Logistics Assistant
    Compass Rose Freight Forwarding System Pte Ltd, Singapore (July 2016 – August 2017)

Publication Top Notes:

  • Reusing drainage water for leaching of saline and sodic soils in the Khuzestan province, Iran. Water Supply. (2024). DOI: 10.2166/ws.2024.091
  • Investigating the long-term effect of livestock grazing, slope location, and sampling depth on soil moisture characteristic curves. Rangeland Ecology & Management. (2024). DOI: 10.1016/j.rama.2024.01.005
  • Effect of precipitation and sediment concentration on the loss of nitrogen and phosphorus in the Pasikhan River. Journal of Water Supply: Research and Technology-Aqua. (2022). DOI: 10.2166/aqua.2022.097
  • Variation entry of sediment, organic matter, and different forms of phosphorus and nitrogen in flood and normal events in the Anzali wetland. Journal of Water and Climate Change. (2022). DOI: 10.2166/wcc.2021.456
  • Assessing the distribution of cadmium under different land-use types and its effect on human health in different gender and age groups. Environmental Science and Pollution Research. (2021). DOI: 10.1007/s11356-021-12881-2
  • Investigation of soil compaction on yield and agronomic traits of wheat under saline and non-saline soils. Archives of Agronomy and Soil Science. (2018). DOI: 10.1080/03650340.2018.1431832

 

Jianguo Wu | Agricultural Intelligent Equipment | Best Researcher Award

Mr Jianguo Wu |  Agricultural Intelligent Equipment | Best Researcher Award

Postgraduate at  Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, China

Jianguo Wu, a graduate student specializing in agricultural intelligent equipment, is currently affiliated with the Precision Pesticide Application Department at the Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences. Born on March 16, 1995, Jianguo began his master’s degree in Mechanical Engineering at the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University in September 2021. His academic journey led him to joint training at the Intelligent Equipment Research Center from June 2022 to June 2024, focusing on designing a spray boom height control system for sprayers.

 

Profile:

Educational Journey:

🎓 Master’s in Mechanical Engineering from the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University (commenced in September 2021). 📚 Joint Training at the Intelligent Equipment Research Center from June 2022 to June 2024.

Professional Experience:

📝 Published two core papers in Chinese. 🌐 Published one JCR Q1 paper. 🏆 Holder of a Chinese invention patent and a computer software copyright.

Achievements:

  • 📈 H-index and Cumulative Impact Factor: 6.342.
  • 🏅 Received 4 awards and recognitions.
  • 👥 Active member of 40 professional bodies.

Jianguo Wu’s research and innovations significantly contribute to advancing agricultural intelligent equipment technology, making strides toward the future of autonomous farming. 🌾🔧

Research Focus in Agricultural Intelligent Equipment:

Jianguo Wu’s research focuses on advancing Agricultural Intelligent Equipment, particularly specializing in the precision and efficiency of pesticide application. His work, based at the Intelligent Equipment Research Center of the Beijing Academy of Agriculture and Forestry Sciences, centers on developing innovative systems for spray boom height control in agricultural sprayers. Through his expertise, Jianguo aims to enhance the automation and effectiveness of farming practices, contributing to sustainable agricultural solutions and improved crop yield management.

Publication:

Model for Detecting Boom Height Based on an Ultrasonic Sensor for the Whole Growth Cycle of Wheat Agriculture, 2023-12-22 | Journal Article DOI: 10.3390/agriculture14010021