Dr. Nikolaos Tsoulias | Precision Agriculture | Best Researcher Award

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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.

Professional Profile:

GOOGLE SCHOLAR

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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

Ms. Maria Nuria Conejero | Agriculture | Best Researcher Award

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Ms. Maria Nuria Conejero | Agriculture | Best Researcher Award 

Ms. Maria Nuria Conejero, Universidad Politécnica de Madrid, Spain

Mª Nuria Conejero Rodríguez is a Robotics Research Engineer at the Centro de Automática y Robótica (CAR) UPM-CSIC, currently working on the FlexiGroBots project. She holds a Ph.D. position in Automation and Robotics at the Polytechnic University of Madrid, building on her Master’s Degree in Robotics and Automation from Carlos III University of Madrid and a Bachelor’s in Industrial Electronics and Automation Engineering from the Polytechnic University of Valencia. With a passion for robotics and its future potential, she has gained valuable experience through roles such as a Research Fellow at CAR and an internship at Embention Sistemas Inteligentes. Mª Nuria’s dedication to the field is demonstrated by her achievements, including the Cátedra Fundación Torrecid Award for the best Final Degree Project and a top 3 finish in the National Ranking of Industrial Electronic Engineering and Automation. Proficient in a range of technologies, including ROS, Python, and various robotics simulators, she is driven by a strong desire to contribute to innovative research in robotics and automation.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Maria Nuria Conejero Rodríguez is a highly talented and dedicated researcher in the field of Robotics and Automation, with a strong foundation in industrial electronics, robotic systems, and control systems. Her academic background, combined with her impressive research experience and hands-on work with advanced robotic projects, makes her an exceptional candidate for the Best Researcher Award.

🎓 Education

  • PhD in Automation and Robotics
    Polytechnic University of Madrid | 09/2023-Present

  • Master’s Degree in Robotics and Automation
    Carlos III University of Madrid | 09/2020 – 06/2022

  • Degree in Industrial Electronics and Automation Engineering
    Polytechnic University of Valencia | 09/2016 – 06/2020
    ARA Group (High Academic Achievement)

  • Erasmus Stay
    University of Skövde, Sweden | 09/2019 – 01/2020

💼 Work Experience

  • Robotics Researcher Engineer
    Centro de Automática y Robótica (CAR) UPM-CSIC | 08/2022-Present
    Project: FlexiGroBots

  • Research Fellow
    Centro de Automática y Robótica (CAR) UPM-CSIC | 10/2021-06/2022
    JAE Fellowship Intro 2021

  • Internship at Embention Sistemas Inteligentes, SL
    Alicante, Spain | 07/2019-08/2019
    Control Area

🏆 Achievements

IT Skills:

  • Programming & Software: ROS, Python (+OpenCV), Matlab, C/C++, GitHub, Arduino, LaTeX, Robot Simulators (Gazebo, OpenRave), RobotStudio, Mathematica, Blender, Motive

  • Machine/Deep Learning, Proteus, Microsoft Office

Languages:

  • English: Cambridge Certificate of Proficiency in English (CPE)

🏅 Awards and Honors

  • Cátedra Fundación Torrecid Award
    For the Best Final Degree Project (2019/2020 academic year)

  • 3rd Position
    National Ranking of Industrial Electronic Engineering and Automation 2020 of the Spanish Society of Academic Excellence

  • Best University Entrance Record
    Award for students with the best university entrance record (2016/2017 academic year)

Publication Top Notes:

A collaborative robotic fleet for yield mapping and manual fruit harvesting assistance

Collaborative Harvest Robot

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

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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:

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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

Prof. Bouabdellah Kechar | Smart Farming Awards | Best Innovation Award

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Prof. Bouabdellah Kechar | Smart Farming Awards | Best Innovation Award

Prof. Bouabdellah Kechar, University of Oran1 Ahmed Benbella, Algeria

Professor Bouabdellah Kechar, is a prominent Full Professor and Director of the RIIR laboratory at Oran1 Ahmed Benbella University. He earned his Bachelor’s degree in Mathematics in 1982, followed by an Engineering degree in Software from the Institute of Computer Science at the University of Oran Es-Sénia in 1987, both with excellent marks. He further advanced his studies by obtaining a Magister in Computer Science (CAD/IAO & Simulation) in 1997 and a PhD in Computer Science with a focus on Networking in 2010, both awarded with high honors. Professor Kechar’s research interests are diverse and encompass wireless sensor networks (WSN), Internet of Things (IoT) architectures, energy harvesting, machine learning, and cybersecurity, among other topics. He has taught various courses at the undergraduate and postgraduate levels, including wireless networks, information systems security, and advanced databases. As a dedicated educator, he has supervised 19 PhD theses and 18 Magister theses, contributing significantly to the academic development of his students. In addition to his teaching and research, he has evaluated numerous theses and developed educational materials. Professor Kechar maintains an active presence in the scientific community and can be contacted via email at kechar.bouabdellah@univ-oran1.dz.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Innovation Award:

Dr. Kechar Bouabdellah is a highly deserving candidate for the Best Innovation Award, thanks to his significant contributions and innovative approaches in the fields of wireless sensor networks (WSN), the Internet of Things (IoT), and cybersecurity. Here is a detailed summary highlighting his qualifications

Education 🎓

  • Bachelor’s Degree in Mathematics
    University of Oran, Algeria (1982)
  • Engineer in Software
    Institute of Computer Science, University of Oran Es-Sénia, Algeria (1987) – Very Good
  • Magister in Computer Science (CAD/IAO & Simulation)
    University of Oran Es-Sénia, Algeria (1997) – Very Honorable
  • PhD in Computer Science (Networking)
    University of Oran Es-Sénia, Algeria (2010) – Very Honorable

Work Experience 🏢

  • Full Professor / Director of the RIIR Laboratory
    Department of Computer Science, Faculty of Exact and Applied Sciences
    Oran1 Ahmed Benbella University, Algeria
  • Teacher-Researcher
    Engaged in teaching various courses at the undergraduate and graduate levels, including:

    • Wireless Sensor Networks
    • Information Systems Security
    • Cryptography and Security of Wireless Networks

Achievements 🏆

  • Supervision of Theses:
    • 19 PhD theses defended
    • 18 Magister theses defended
    • 44 Master’s theses (defended and in progress)
    • 10 Bachelor’s theses (defended and in progress)
  • Theses and Dissertations Evaluated:
    • Evaluated a total of 44 doctoral theses in Science and LMD
    • Evaluated 5 Magister’s theses

Awards and Honors 🥇

  • University Accreditations: 12
  • Recognized Contributions: Expertise in developing educational materials and supervising numerous successful theses.
  • International Recognition: Frequent participation in national and international conferences, enhancing collaboration and knowledge exchange in his fields of interest.

Publication Top Notes:

CITED:148
CITED:72
CITED:71
CITED:46
CITED:37

Mr. Huangfu Yi | Smart Agriculture Awards | Best Researcher Award

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Mr. Huangfu Yi | Smart Agriculture Awards | Best Researcher Award 

Mr. Huangfu Yi, Yunnan Agricultural University, China

Huangfu Yi is a dedicated and innovative Master’s degree candidate in Mechanical Design and Manufacturing at Yunnan Agricultural University, with a focus on smart agriculture, point cloud and image processing, and end-to-end object detection and perception. Born in Hohhot, Inner Mongolia, he earned his Bachelor’s degree in Computer Science and Technology from Inner Mongolia University of Science and Technology. Huangfu has contributed to the field through impactful research, including a method for panoramic image stitching of corn ears and the development of a citrus greening disease detection system. His work has led to accepted publications in SCI Zone 2 journals and has resulted in an authorized invention patent. With strong technical skills in deep learning, machine learning, and programming languages such as Java, C/C++, and Python, he is proficient in developing applications for agricultural solutions. Huangfu is also actively engaged in competitions, earning recognition for his programming skills. He is fluent in reading English literature, and his proactive involvement in work-study and volunteer activities has honed his communication skills and work ethic.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Huangfu Yi

Personal Profile: Huangfu Yi is a Master’s degree candidate at Yunnan Agricultural University, specializing in mechanical design and manufacturing. At just 26 years old, he has made significant strides in the fields of smart agriculture, point cloud and image processing, and end-to-end object detection and perception. His educational background, which includes a Bachelor’s degree in Computer Science and Technology, equips him with a strong foundation in technology that enhances his research capabilities.

🎓 Education Background:

  • Master’s Degree in Mechanical Design and Manufacturing
    Yunnan Agricultural University (2022.09 – 2025.09)
  • Bachelor’s Degree in Computer Science and Technology
    Inner Mongolia University of Science and Technology (2017.09 – 2021.07)

🔧 Projects and Contributions:

  • Panoramic Stitching System for Corn
  • Citrus Huanglongbing Detection System
  • Information Transmission Between Internet Sensors

📜 Patents:

  • Title: Method and Device for Detecting Huanglongbing Based on Deep Learning

🛠️ Research Skills:

  • Deep Learning, Machine Learning, Linux System Programming, Java, C/C++, PHP, Python, Web Crawling, OpenCV.

🏆 Competition Experience:

  • 2018: NAGC Software Engineer Certificate
  • 2019: National NetEase Security Cup, Excellent Prize
  • 2020: China University Student Programming Contest, Third Prize Nationally

Publication Top Notes

HHS-RT-DETR: A Method for the Detection of Citrus Greening Disease

Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming

 

 

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

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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

 

 

Assist Prof Dr. Dua Weraikat | Smart Farming Award | Best Researcher Award

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Assist Prof Dr. Dua Weraikat | Smart Farming Award | Best Researcher Award

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.

Professional Profile:

SCOPUS

 

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:

Study on Collaborative Smart Farming over Digital Platform

Demand Forecasting with Real Case Analysis for Effective Retail Decision-Making

Improving sustainability in a two-level pharmaceutical supply chain through Vendor-Managed Inventory system

Effect of Tantalum (Ta) addition to zinc-aluminum alloy 5 (ZA5) on its microstructure and fatigue life

Two-echelon pharmaceutical reverse supply chain coordination with customers incentives

Coordinating a green reverse supply chain in pharmaceutical sector by negotiation