Dr. Nikolaos Tsoulias | Precision Agriculture | Best Researcher Award

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

ORCID

SCOPUS

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.

πŸŽ“ 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

πŸ’Ό 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

πŸ† 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.

PublicationΒ 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

Dr. Meinan Wang | Agriculture | Best Researcher Award

Dr. Meinan Wang | Agriculture | Best Researcher AwardΒ 

Dr. Meinan Wang, Washington State University, Dep. of Plant Pathology, United States

Dr. Meinan Wang is a plant pathologist with extensive expertise in the biology, genetics, and management of stripe rust in wheat. He earned his Ph.D. in Plant Pathology from Northwest A & F University in China, following a Master’s and Bachelor’s in related agricultural sciences from the same institution. Currently serving as a Research Associate and Laboratory Manager at Washington State University since 2010, Dr. Wang has played a critical role in advancing research on the virulence, population genetics, and genomic structure of the stripe rust pathogen. His work focuses on identifying novel resistance genes, developing disease-resistant wheat germplasms, and conducting genetic mapping of resistance traits. A former associate professor and experienced international collaborator, Dr. Wang is also an active member of the American Phytopathological Society and frequently serves as a reviewer for leading journals in plant science and genetics.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Dr. Meinan Wang is a distinguished plant pathologist with over three decades of experience in academic research, specializing in the genetic and molecular study of stripe rustβ€”a devastating disease in wheat. With a Ph.D. in Plant Pathology and a strong track record of contributions at both Northwest A & F University and Washington State University (WSU), Dr. Wang exemplifies the qualities of a high-impact researcher in agricultural biotechnology and crop protection.

πŸŽ“ Education

  • πŸ“ Ph.D. in Plant Pathology – Northwest A & F University, China (2002)

  • πŸ“ M.S. in Plant Pathology – Northwest Agricultural University, China (1999)

  • πŸ“ B.S. in Plant Protection – Northwest Agricultural University, China (1992)

πŸ’Ό Work Experience

  • πŸ§ͺ Research Associate & Laboratory Manager
    Washington State University, Pullman, WA, USA (2010–Present)

  • 🌾 Visiting Scholar
    Washington State University, Pullman, WA, USA (2005–2010)

  • πŸŽ“ Associate Professor
    Northwest A & F University, China (2003–2005)

  • 🧬 Lecturer
    Northwest A & F University, China (1998–2002)

  • πŸ”¬ Research Assistant
    Northwest Agricultural University, China (1992–1997)

πŸ† Achievements

  • 🧬 Advanced research on stripe rust pathogen biology, genetics, and virulence

  • 🌱 Identified novel resistance genes and developed disease-resistant wheat germplasms

  • 🧫 Conducted genetic and molecular mapping of resistance genes/QTLs in wheat

  • πŸ“š Reviewer for major journals like Plant Disease, Phytopathology, Molecular Ecology Resources, etc.

πŸŽ–οΈ Awards & Honors

  • 🌎 Member of the American Phytopathological Society

  • πŸ… Recognized expert in plant pathology and crop disease resistance research

PublicationΒ Top Notes:

CITED:227
CITED:175
CITED:158
CITED:156
CITED:154
CITED:139

 

Mr. Mohammad Mohiuddin | Agriculture | Best Researcher Award

Mr. Mohammad Mohiuddin | Agriculture | Best Researcher AwardΒ 

Mr. Mohammad Mohiuddin, Chiitagong University of Engineering & Technology (CUET), Bangladesh

Mohammad Mohiuddin is an emerging academic and engineering professional with a strong background in Electrical and Electronic Engineering, currently serving as an Adjunct Lecturer at the Chittagong Institute of Engineering and Technology (CIET). He holds an M.Sc. in Electronics and Telecommunication Engineering from Chittagong University of Engineering & Technology (CUET), where he graduated with a perfect CGPA of 4.00 and received a Postgraduate Scholarship. He also earned his B.Sc. in Electrical and Electronic Engineering from East Delta University, graduating Summa Cum Laude with several academic distinctions, including the Chairman’s Outstanding Student Award. Mohammad has teaching experience in both theoretical and practical courses, particularly in areas such as Digital Electronics, Machine Learning, Circuit Design, and Power Electronics. Alongside his academic career, he works as a Communication Engineer at Total Marine & Safety Solution Ltd., where he specializes in satellite and radio communication systems, onboard networking, and technical training. His research interests span a wide range of modern technological areas, including the Internet of Things (IoT), machine learning, signal processing, smart grids, and biomedical applications. His postgraduate thesis focused on intelligent fault diagnosis using deep learning techniques. Mohammad is passionate about advancing science and technology through education, research, and hands-on technical expertise.

Professional Profile:

ORCID

πŸ† Summary of Suitability for Best Researcher Award

Mohammad Mohiuddin is an emerging researcher and academician with a strong foundation in Electrical and Electronic Engineering (EEE) and a growing research portfolio in Artificial Intelligence, Machine Learning, and Biomedical Applications. While he is in the early stages of his research career, his dedication, academic excellence, and potential make him a promising candidate for future recognition. Below is an assessment of his suitability for the Research for Best Researcher Award

πŸŽ“ Education

  • M.Sc. in Electronics & Telecommunication Engineering (ETE)
    πŸ“ Chittagong University of Engineering & Technology (CUET)
    πŸ—“οΈ Passed: 26 November 2023
    πŸ“ˆ CGPA: 4.00/4.00
    πŸ… Achievement: PG Scholarship

  • B.Sc. in Electrical & Electronics Engineering (EEE)
    πŸ“ East Delta University
    πŸ—“οΈ Passed: 2020
    πŸ“ˆ CGPA: 3.91/4.00
    πŸ† Achievements:

    • Summa Cum Laude

    • Chairman’s Outstanding Student Award

    • Vice Chancellor’s List

    • Dean’s List

  • Diploma in Engineering (Electrical Technology)
    πŸ“ Chittagong Technical College
    πŸ—“οΈ Passed: 2016
    πŸ“ˆ CGPA: 3.93/4.00
    πŸŽ–οΈ Achievements:

    • Principal’s Outstanding Student Award

    • World Bank Scholarship

  • Secondary School Certificate (SSC)
    πŸ“ Uttar Rangunia High School
    πŸ—“οΈ Passed: 2012
    πŸ“ˆ GPA: 4.88/5.00

πŸ’Ό Work Experience

  1. Adjunct Lecturer – CIET (Chittagong Institute of Engineering and Technology)
    πŸ—“οΈ March 1, 2023 – Present
    πŸ“š Department: Electrical and Electronic Engineering (EEE)
    πŸ‘¨β€πŸ« Responsibilities:

    • Conducted theory and lab classes

    • Estimation and requisition of lab materials

    • Administrative and academic coordination

  2. Communication Engineer – Total Marine & Safety Solution Ltd.
    πŸ—“οΈ October 26, 2022 – Present
    🚒 Responsibilities:

    • Conducted training on marine telecommunication

    • Worked with satellite (VSAT, STARLINK) & onboard radio systems

    • Maintained CCTV and networking equipment

    • Prepared technical specs and documentation

  3. Instructor – Chittagong Technical College (CTC)
    πŸ—“οΈ November 1, 2019 – May 1, 2020
    πŸ› οΈ Department: Electrical
    πŸ“š Responsibilities:

    • Conducted electrical classes and workshops

    • Supervised lab activities and requisition processes

πŸ… Awards & Honors

  • πŸ† PG Scholarship – CUET

  • πŸ† Summa Cum Laude – East Delta University

  • πŸ₯‡ Chairman’s Outstanding Student Award

  • πŸ“œ Vice Chancellor’s and Dean’s List

  • πŸŽ“ Principal’s Outstanding Student Award – CTC

  • 🌍 World Bank Scholarship

PublicationΒ Top Notes:

A Novel Deep Learning Technique for Brain Tumor Detection and Classification Using Parallel CNN with Support Vector Machine

Internet of Things (IoT)-Based Smart Agriculture Irrigation and Monitoring System Using Ubidots Server

Feature Optimization for Machine Learning Based Bearing Fault Classification

Hybrid model-based Brain Tumor Detection and Classification using Deep CNN-SVM

Intelligent Fault Diagnosis of Rolling Element Bearings Based on Modified AlexNet

Rolling Element Bearing Faults Detection and Classification Technique Using Vibration Signals

MRI-Image based Brain Tumor Detection and Classification using CNN-KNN

Air Quality Monitoring in Chittagong by a Low Cost IoT Based Air Quality Monitoring System

 

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

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-SΓ©nia 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 πŸŽ“

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

  • 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 πŸ₯‡

  • 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.

PublicationΒ Top Notes:

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

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

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 MontrΓ©al, QuΓ©bec, 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, UniversitΓ© Laval, QuΓ©bec, Canada
    Project: Coordinating value chain with anticipation in the Forest Industry
    2015-2016
  • Doctor of Philosophy (Ph.D.) in Industrial Engineering
    Concordia University, MontrΓ©al, QuΓ©bec, 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, UniversitΓ© Laval, QuΓ©bec, Canada
    2015-2016

    • Conducted research on coordinating value chains with anticipation in the forest industry.
  • Ph.D. Researcher
    Concordia University, MontrΓ©al, QuΓ©bec, 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, β€œMaiRobot: 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-QuΓ©bec 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

 

 

 

Mr. Ridip Khanal | Smart Farming | Top Researcher Award

Mr. Ridip Khanal | Smart Farming | Top Researcher Award

Mr. Ridip Khanal, Jeonbuk National University ,South Korea

Ridip Khanal, a Nepali national, is a dedicated doctoral student in the Division of Computer Science and Engineering at Jeonbuk National University, Jeonju, Republic of Korea, a position he has held since March 2023. Ridip holds a Master’s of Computer Application (MCA) from Kantipur City College, affiliated with Purbanchal University, Nepal, where he graduated in 2016 with an impressive CGPA of 3.7 out of 4.0. His academic journey began with a Bachelor’s degree in Information Technology (BIT) from Himalayan WhiteHouse International College, also affiliated with Purbanchal University, which he completed in 2005 with a CGPA of 3.40 out of 4.0. He further strengthened his foundational knowledge with an Intermediate in Science (I.Sc.) from Mechi Multiple Campus, Tribhuvan University, Nepal, completed in 2001, and a School Leaving Certificate (SLC) from the Nepal Board in 1997.

Professional Profile

πŸ“š Education:

  • Ph.D. Candidate in Computer Science and Engineering, Jeonbuk National University, Jeonju, Republic of Korea (Since March 2023) πŸŽ“
  • MCA from Kantipur City College (KCC), Purbanchal University, Nepal (2016) – CGPA: 3.7/4.0 πŸŽ“
  • BIT from Himalayan WhiteHouse Int’l College, Purbanchal University, Nepal (2005) – CGPA: 3.40/4.0 πŸŽ“
  • I.Sc. from Mechi Multiple Campus, Tribhuvan University, Nepal (2001) πŸ§ͺ
  • School Leaving Certificate (SLC) from Nepal Board (1997) πŸ“œ

πŸ’Ό Professional Experience:

  • Assistant Professor of Computer Applications, Tribhuvan University, Mechi Multiple Campus, Bhadrapur, Jhapa, Nepal (Since April 21, 2021) πŸ“˜ [Currently on study leave]
  • Head of the Department, Computer Science and Applications, Mechi Multiple Campus, Bhadrapur, Jhapa, Nepal (November 17, 2021 – February 28, 2023) πŸ–₯️
  • Lecturer (Part-Time) for the BCA program, Tribhuvan University, Ratna Rajyalaxmi Campus, Kathmandu, Nepal (November 6, 2019 – April 20, 2021) 🏫
  • IT and Communication Expert, National Human Rights Commission (NHRC) Nepal, Lalitpur, Nepal (July 17, 2019 – December 16, 2019) 🌐
  • Information Technology (IT) Officer, NHRC Nepal, Lalitpur, Nepal (January 30, 2017 – March 14, 2019) πŸ–₯️
  • Academic Director, Bridgewater Education Foundation and Research Center, Kathmandu, Nepal (September 17, 2018 – April 20, 2021) πŸŽ“
  • Head of the Department, Computer Science, Liverpool Int’l College, Kathmandu, Nepal (July 31, 2011 – January 28, 2017) πŸ–₯️
  • Head of the Department, Computer Science (Full-Time), Himalayan WhiteHouse Int’l College, Kathmandu, Nepal (August 16, 2008 – July 14, 2012) πŸŽ“

 

.Publications Notes:πŸ“„