Dr. Leonid Malyshev | Agriculture | Best Researcher Award

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Dr. Leonid Malyshev | Agriculture | Best Researcher Award 

Dr. Leonid Malyshev | Agriculture | N. I. Vavilov All-Russian Institute of Plant Genetic Resources | Russia

Dr. Malyshev L. L., a distinguished plant geneticist from the N.I. Vavilov All-Russian Institute of Plant Genetic Resources, Saint Petersburg, Russian Federation, has established a strong reputation in the field of plant genetic diversity, metabolomics, and agricultural sensing technology. His academic foundation is built upon a Ph.D. in Plant Genetics, which provided the groundwork for his innovative research in genetic conservation and biochemical profiling of crop species. Throughout his professional career, Dr. Malyshev L. L. has contributed extensively to the enhancement of global agricultural sustainability through the genetic evaluation of seed quality, germplasm preservation, and molecular breeding methods. His professional experience includes active participation in both national and international research collaborations that focus on genetic resource characterization, plant adaptability under environmental stress, and metabolomic analysis of rare and wild plant accessions. Dr. Malyshev L. L.’s research interests primarily revolve around seed biology, metabolomic profiling, genetic diversity studies, and advanced sensing-based phenotyping techniques, demonstrating his commitment to improving the understanding of crop genetics and resilience. His research skills encompass molecular marker analysis, bioinformatics, statistical modeling, and advanced data interpretation, alongside proficiency in managing complex databases of genetic materials. With a strong record of 22 Scopus-indexed publications and 58 citations, his scholarly output underscores the depth and influence of his research contributions. He has also played a leadership role in curating the VIR genetic resource collections, ensuring the preservation and scientific documentation of plant diversity across various agroecological zones.

Professional Profiles: Scopus

Featured Publications 

  1. Malyshev, L. L. (2025). Interrelations between the main seed quality characteristics of narrowleaf lupine from the VIR collection. Vavilovskii Zhurnal Genetiki i Selektsii. 1 Citation.

  2. Malyshev, L. L. (2025). The use of metabolomic profiling to evaluate Aegilops tauschii Coss accessions of various geographical origin from the VIR collection. Proceedings on Applied Botany, Genetics and Breeding. 1 Citation.

  3. Malyshev, L. L. (2024). Evaluation of genetic diversity in wheat accessions using metabolomic markers. Journal of Plant Genetics and Breeding. 3 Citations.

  4. Malyshev, L. L. (2023). Seed germination performance and environmental adaptation of lupine species from the VIR collection. Genetic Resources and Crop Evolution. 2 Citations.

  5. Malyshev, L. L. (2023). Comparative metabolomic study of rye and wheat varieties under stress conditions. Plant Physiology Reports. 4 Citations.

  6. Malyshev, L. L. (2022). Assessment of biochemical markers for identifying high-yielding grain crops. Applied Botany and Genetics Research. 5 Citations.

  7. Malyshev, L. L. (2021). Genetic resource evaluation and conservation strategies of Russian cereal crops. Advances in Plant Science and Research. 6 Citations.

Dr. Meinan Wang | Agriculture | Best Researcher Award

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Dr. Meinan Wang | Agriculture | Best Researcher Award 

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 rust—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.

🎓 Education

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

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

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

💼 Work Experience

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

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

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

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

  • 🔬 Research Assistant
    Northwest Agricultural University, China (1992–1997)

🏆 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

  • 📚 Reviewer for major journals like Plant Disease, Phytopathology, Molecular Ecology Resources, etc.

🎖️ Awards & Honors

  • 🌎 Member of the American Phytopathological Society

  • 🏅 Recognized expert in plant pathology and crop disease resistance research

Publication Top Notes:

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

 

Mr. Mohammad Mohiuddin | Agriculture | Best Researcher Award

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Mr. Mohammad Mohiuddin | Agriculture | Best Researcher Award 

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

🏆 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

🎓 Education

  • M.Sc. in Electronics & Telecommunication Engineering (ETE)
    📍 Chittagong University of Engineering & Technology (CUET)
    🗓️ Passed: 26 November 2023
    📈 CGPA: 4.00/4.00
    🏅 Achievement: PG Scholarship

  • B.Sc. in Electrical & Electronics Engineering (EEE)
    📍 East Delta University
    🗓️ Passed: 2020
    📈 CGPA: 3.91/4.00
    🏆 Achievements:

    • Summa Cum Laude

    • Chairman’s Outstanding Student Award

    • Vice Chancellor’s List

    • Dean’s List

  • Diploma in Engineering (Electrical Technology)
    📍 Chittagong Technical College
    🗓️ Passed: 2016
    📈 CGPA: 3.93/4.00
    🎖️ Achievements:

    • Principal’s Outstanding Student Award

    • World Bank Scholarship

  • Secondary School Certificate (SSC)
    📍 Uttar Rangunia High School
    🗓️ Passed: 2012
    📈 GPA: 4.88/5.00

💼 Work Experience

  1. Adjunct Lecturer – CIET (Chittagong Institute of Engineering and Technology)
    🗓️ March 1, 2023 – Present
    📚 Department: Electrical and Electronic Engineering (EEE)
    👨‍🏫 Responsibilities:

    • Conducted theory and lab classes

    • Estimation and requisition of lab materials

    • Administrative and academic coordination

  2. Communication Engineer – Total Marine & Safety Solution Ltd.
    🗓️ 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)
    🗓️ November 1, 2019 – May 1, 2020
    🛠️ Department: Electrical
    📚 Responsibilities:

    • Conducted electrical classes and workshops

    • Supervised lab activities and requisition processes

🏅 Awards & Honors

  • 🏆 PG Scholarship – CUET

  • 🏆 Summa Cum Laude – East Delta University

  • 🥇 Chairman’s Outstanding Student Award

  • 📜 Vice Chancellor’s and Dean’s List

  • 🎓 Principal’s Outstanding Student Award – CTC

  • 🌍 World Bank Scholarship

Publication 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

 

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:

SCOPUS
ORCID

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