Dr. Nikolaos Tsoulias | Precision Agriculture | Best Researcher Award

Dr. Nikolaos Tsoulias, Hochschule Geisenheim University, Germany

Nikos Tsoulias is a Senior Researcher and Lecturer at Hochschule Geisenheim University in Germany, specializing in agricultural engineering with a focus on precision horticulture and the integration of advanced AI and machine learning techniques in agriculture. He holds a Ph.D. in Precision Horticulture from the Agricultural University of Athens and multiple master’s degrees in Precision Farming and Agricultural Engineering. Nikos has extensive research experience in real-time sensor communication, machine vision systems, and data acquisition software development for agricultural applications, particularly in vineyards and perennial crops. His work includes leading projects on ISO-compliant machinery integration, LiDAR and thermal imaging data fusion, and the development of predictive models for crop management. He has contributed to numerous international research collaborations and published widely in journals on smart agricultural technologies. With expertise in programming languages such as Python, MATLAB, and C++, Nikos combines cutting-edge technology with practical agricultural solutions to advance sustainability and productivity in modern farming.

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Summary of Suitability – Nikos Tsoulias for Best Researcher Award

Nikos Tsoulias is an accomplished researcher and academic in the field of precision horticulture and agricultural engineering, with a robust blend of expertise in advanced sensing technologies, machine learning, and real-time agricultural applications. His work focuses on developing innovative solutions that integrate optical sensors, machine vision, and data acquisition systems to enhance sustainable agricultural practices.

🎓 Education

Ph.D. in Precision Horticulture
Agricultural University of Athens, Greece | 2018 – 2021
MSc in Precision Farming
Harper Adams University, UK | 2014 – 2015
MSc in Agricultural Engineering
Agricultural University of Athens, Greece | 2012 – 2014
BSc in Agriculture
Agricultural University of Athens, Greece | 2009 – 2012

💼 Work Experience

Senior Researcher (Agricultural Engineering)
Hochschule Geisenheim University, Germany | Jan 2023 – Present
Postdoctoral Researcher (Precision Horticulture)
Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany | Nov 2021 – Present
Doctoral Researcher (Precision Horticulture)
Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany | Jun 2018 – Nov 2021
Research Associate (Precision Horticulture)
Leibniz Institute for Agricultural Engineering and Bioeconomy, Germany | Jan 2017 – Jun 2017
Research Associate (Precision Farming)
Harper Adams University, UK | Jan 2015 – Aug 2015

🏆 Achievements & Awards

Lead author of impactful journal articles on real-time applications in perennial trees and vegetables, ISO11783-compliant variable rate spraying, and UAV-based fruit detection and yield estimation.
Successfully developed innovative machine vision systems and data acquisition software for precision horticulture applications.
Played a key role in H2020 and EIP-AGRI projects involving machine learning and agricultural robotics.

🌟 Honors & Recognition

Recognized expert in precision horticulture and agricultural engineering with international collaborations and leadership roles.
Contributor to multiple international scientific journals and conferences, enhancing sustainable agricultural technology development.

Publication Top Notes:

Real-time applications in perennial trees and vegetables – A review

Developing an ISO11783-compliant prescription map for variable rate spraying in vineyards based on 3D canopy reconstruction

Fruit Detection and Yield Mass Estimation from a UAV Based RGB Dense Cloud for an Apple Orchard

Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud

Fruit surface temperature data at different ripeness stages and ambient temperature provided as temperature-annotated 3D point clouds of apple trees

Hyper- and Multi-spectral Imaging Technologies

Assist Prof Dr. Dua Weraikat, Rochester Institute of Technology, Dubai

Dr. Dua Weraikat is an Assistant Professor of Industrial Engineering, recognized for her extensive contributions to sustainable supply chain management and value chain coordination. She earned her Ph.D. in Industrial Engineering from Concordia University in Montréal, Québec, Canada, where her dissertation focused on coordination mechanisms for sustainable supply chain management in the pharmaceutical industry. Dr. Weraikat also holds a Master’s degree in Industrial Engineering with a focus on Manufacturing from the University of Jordan and a Bachelor’s degree in Industrial Engineering with a specialization in Management from Jordan University of Science and Technology.

Summary of Suitability for Best Researcher Award

Dr. Dua Weraikat is an accomplished researcher and Assistant Professor in Industrial Engineering with a robust academic and research background. Her contributions to the field of industrial engineering, particularly in sustainable supply chain management and industrial operations, underscore her qualifications for the Best Researcher Award.

Education:

Postdoctoral Researcher
FORAC, Université Laval, Québec, Canada
Project: Coordinating value chain with anticipation in the Forest Industry
2015-2016

Doctor of Philosophy (Ph.D.) in Industrial Engineering
Concordia University, Montréal, Québec, Canada
Dissertation Title: Coordination Mechanisms for Sustainable Supply Chain Management in the Pharmaceutical Industry
2011-2015

Master of Science (M.Sc.) in Industrial Engineering – Manufacturing
University of Jordan, Amman, Jordan
2006-2009

Bachelor of Science (B.Sc.) in Industrial Engineering – Management
Jordan University of Science and Technology, Irbid, Jordan
2000-2004

Work Experience:

Assistant Professor, Industrial Engineering
Rochester Institute of Technology (RIT), UAE
Present

Postdoctoral Researcher
FORAC, Université Laval, Québec, Canada
2015-2016

Conducted research on coordinating value chains with anticipation in the forest industry.

Ph.D. Researcher
Concordia University, Montréal, Québec, Canada
2011-2015

Focused on coordination mechanisms for sustainable supply chain management in the pharmaceutical industry.

Distinctions and Awards:

Outstanding Global Faculty Advisor Award, IISE, May 2024

Regional Faculty Advisor Award, IISE, May 2024

Gold Award, IISE Chapter Recognition Program, IISE, May 2024

Gold Award, IISE Chapter Recognition Program, IISE, June 2023

Best Full Paper Presentation Award, “MaiRobot: AI and IoT-based Underwater Robot For Coral Reef and Water Quality Monitoring,” 14th Annual Undergraduate Research Conference on Applied Computing (URC 2022), Dubai, UAE, October 2022

1st Prize Poster Competition, 4th European IEOM Conference, Rome, Italy, August 3-5, 2021

RIT-internal Research Grant, UAE, December 2018

Nominated for the final selection (1 of 6 among 23) for the 4th Elmaghraby Best Student Paper Award, France, June 2016

Nominated for CAGS/UMI Distinguished Dissertation Award/Prix d’excellence de l’ADESAQ, Concordia University, Canada, February 2016

Doctoral Thesis with Distinction, Excellent, Faculty of Graduate Studies, Concordia University, Canada, December 2015

Concordia Accelerator Awards, Concordia University, Canada, February 2015

Excellence Award – Cooperation Montreal-Québec for the academic year 2014-2015, CIRRELT, December 2014

Best Ph.D. Seminar Award, Concordia University, Canada, April 2014

Partial Tuition Scholarship for International Students, Concordia University, Canada, 2012-2013

Partial Tuition Scholarship for International Students, Concordia University, Canada, 2010-2011

Master’s Thesis with Distinction, Excellent, Faculty of Graduate Studies, University of Jordan, Jordan, May 2009

Scientific Research Award, University of Jordan, Jordan, 2008-2009

Publication top Notes: