Giju Eoh | Agricultural and Biological Sciences | Best Researcher Award

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Mr. Giju Eoh | Agricultural and Biological Sciences | Best Researcher Award

Ph.D. student Chungnam National University South Korea

Giju Eoh is a dedicated researcher specializing in AI-driven agricultural technologies, with a particular focus on non-destructive analysis and sustainable cultivation methods. Currently pursuing a Ph.D. in AI-Plant at Chungnam National University, he combines his background in Polymer Engineering with advanced AI applications to revolutionize the field of smart farming. His innovative work, supported by teaching, patent contributions, and academic accolades, showcases his commitment to sustainable and efficient agricultural practices.

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Education 🎓

  • Ph.D. in AI-Plant (Expected Aug. 2026): College of Bio-AI Convergence, Chungnam National University, Republic of Korea.
  • M.S. in AI-Plant (Graduated Aug. 2022): College of Bio-AI Convergence, Chungnam National University, Republic of Korea.
  • B.S. in Polymer Engineering (Graduated Feb. 2019): College of Engineering, Inha University, Republic of Korea.

Experience 💼

Giju Eoh has gained valuable experience as a lecturer in the AI Smart Farm Education Program, where he developed and taught predictive modeling methods for anthocyanin content in red lettuce. Additionally, he has been a key contributor to academic research and innovation, including the co-invention of a patented seedling bed system that optimizes growth efficiency and minimizes waste.

Research Interests 🔍

Giju’s research focuses on the intersection of AI and agriculture, with specific interests in:

  • Non-destructive analysis techniques for phytochemical content in crops.
  • Machine learning and predictive modeling for smart farming applications.
  • Sustainable recycling methods for by-products in protected cultivation systems.

Awards 🏆

  • Outstanding Poster Award (2021): For groundbreaking work on RGB image-based analysis of red lettuce anthocyanin content, presented at The Korean Society for Bio-Environment Control.
  • Outstanding Poster Award (2024): For innovative research on recycling pathways for coir waste substrates, also presented at The Korean Society for Bio-Environment Control.

Publications Top Notes:📚

Eoh, G., Lim, S., & Park, J. (2025). Non-destructive Analysis of Anthocyanin Content Levels Based on RGB Images of Red Lettuce. Published in Horticultural Science and Technology. DOI: 10.7235/HORT.20250005

Eoh, G., Kim, C., Bae, J., & Park, J. (2024). Evaluation of Sodium Chloride Concentrations on Growth and Phytochemical Production of Mesembryanthemum crystallinum L. in a Hydroponic System. Published in Horticulturae. DOI: 10.3390/horticulturae10121304

 

Brahim El Boudani | Engineering | Best Researcher Award

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Dr. Brahim El Boudani | Engineering | Best Researcher Award

Lecturer London South Bank University United Kingdom

🎓 Dr. Brahim El Boudani is a passionate researcher and educator specializing in deep learning, virtual reality, and 5G technologies. With a robust technical background in programming and data analysis, he has dedicated his career to academic excellence and innovative research. Currently, a sessional lecturer at London South Bank University, Dr. El Boudani combines teaching with impactful research in fields such as augmented reality and artificial intelligence.

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Education

📚 Dr. Brahim El Boudani earned his Bachelor of Arts in Modern Letters from Hassan II University, Morocco, and later pursued advanced studies at London South Bank University. He holds a Bachelor of Science in Business Intelligence (First Class Honours) and is completing a Ph.D. on deep learning applications in 5G localization, expected by Summer 2023. His academic journey reflects a commitment to interdisciplinary excellence.

Experience

💼 Dr. El Boudani has diverse professional experience, including roles as Workshop Supervisor at Camara Education LTD and Business Intelligence Analyst at London South Bank University. Since 2017, he has been a sessional lecturer, excelling in teaching deep learning, mobile computing, and software development while mentoring students and leading innovative extracurricular projects.

Research Interests

🔬 Dr. El Boudani’s research focuses on integrating deep learning with 5G IoT networks, indoor 3D positioning, and VR applications. His interests also include data warehousing, big databases, and the interplay of AI in mobile computing, highlighting his drive to innovate and address real-world challenges.

Awards and Achievements

🏆 Dr. El Boudani’s exemplary academic performance, including achieving First Class Honours in Business Intelligence, has earned him accolades. His impactful research, particularly on deep learning architectures for 5G networks, has positioned him as a thought leader in his domain.

Publications Top Notes: 

📄 Dr. El Boudani has contributed significantly to peer-reviewed journals and conferences. His publications include:

Implementing deep learning techniques in 5G IoT networks for 3D indoor positioning (Sensors, 2020) – Cited by 50 articles.

Positioning as Service for 5G IoT Networks (ConfTELE, IEEE, 2021) – Cited by 20 articles.

SO-KDN: A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing (International Conference on Information Science, 2021) – Cited by 25 articles.

 

Meng Chen | Physics and Astronomy | Best Researcher Award

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Dr. Meng Chen | Physics and Astronomy | Best Researcher Award

PhD student School of Physics China

🎓 Meng Chen, born in Shanxi, China, in 1995, is a dedicated Ph.D. student at the School of Physics, Xidian University, Xi’an, China. Her academic journey has been marked by excellence and commitment to advancing research in electromagnetic pulse effects and computational modeling methods.

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Scopus

Education

📘 Academic Milestones

  • B.S. in Physics: North University of China, Taiyuan, China (2014)
  • M.S. in Radio Physics: Xidian University, Xi’an, China (2018)
  • Ph.D. Candidate: School of Physics, Xidian University (Ongoing)

Professional Experience

💼 Meng Chen has contributed to significant research projects supported by prestigious funding bodies, including the National Natural Science Foundation of China and the Fundamental Research Funds for the Central Universities. She has chaired the Graduate Student Innovation Fund and actively participated in national key projects.

Research Interests

🔬 Meng Chen’s research focuses on the environmental effects of electromagnetic pulses and the finite-difference time-domain (FDTD) method. Her work addresses pressing engineering challenges and seeks innovative solutions to advance electromagnetic protection technologies.

Awards and Achievements

🏆 Nominated for Best Researcher Award
Meng Chen has achieved significant breakthroughs in electromagnetic engineering, combining theoretical advancements with practical applications. Her contributions reflect the spirit of innovation and excellence in scientific research.

Publications Top Notes: 

📚 Selected Publications:

M. Chen et al., “An Efficient FDTD Algorithm for Calculating Low-Frequency Transmission Characteristics of Multilayer Metal Meshes,” IEEE Transactions on Antennas and Propagation, vol. 72, no. 6, 2024. DOI: 10.1109/TAP.2024.3396997.

Cited by: 5 articles.

M. Chen et al., “An Analytical Model for Calculating the Shielding Effectiveness of Dielectric-Embedded Multilayer Metal Meshes,” IEEE Microwave and Wireless Technology Letters, 2024. DOI: 10.1109/LMWT.2024.3507077.

Cited by: 3 articles.

M. Chen et al., “A Fast Modeling Method for BOR–FDTD,” Electronics, vol. 13, 2024. DOI: 10.3390/electronics13234814.

Cited by: 4 articles.

M. Chen et al., “FDTD Complex Terrain Modeling Method Based on Papery Contour Map,” International Journal of Antennas and Propagation, 2023. DOI: 10.1155/2023/2397401.

Cited by: 2 articles.

X. He, M. Chen, et al., “A Hybrid Algorithm of 3-D Explicit Unconditionally Stable FDTD and Traditional FDTD Methods,” IEEE Antennas and Wireless Propagation Letters, 2024. DOI: 10.1109/LAWP.2024.3464523.

Cited by: 6 articles.

Fırat Oğuz | Dentistry | Best Researcher Award

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Assist. Prof. Dr. Fırat Oğuz | Dentistry | Best Researcher Award

Assist. Prof. İnönü University Faculty of Dentistry Department of Orthodontics Turkey

Assistant Professor Firat Oğuz is a dedicated academic specializing in health sciences, dentistry, and orthodontics. He currently serves at the Faculty of Dentistry, Inonu University, where he contributes extensively to clinical sciences. With a strong focus on orthodontics, his work encompasses innovative research, publications, and educational contributions in the field.

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Education 🎓

  • Assistant Professor: Inonu University, Faculty of Dentistry, Clinical Sciences (2024 – Present).
  • Research Assistant: Inonu University, Faculty of Dentistry, Clinical Sciences (2019 – 2024).
  • BDS: Gaziantep University, Faculty of Dentistry (2012 – 2017).

Experience 🩺

Prof. Oğuz has years of experience in orthodontic research and teaching. Beginning his academic career as a Research Assistant, he has advanced to Assistant Professor at Inonu University. His clinical and academic roles include treating complex dental cases and mentoring dental students in innovative practices.

Research Interests 🔬

His research spans health sciences, orthodontics, and clinical dentistry. He is particularly interested in:

  • Orthodontic mechanics
  • Temporary anchorage devices (TADs)
  • Maxillofacial treatments
  • 3D imaging in orthodontics

Awards 🏆

  • Clinical Poster First Prize: Türk Ortodonti Derneği, October 2023.
    This award reflects his groundbreaking research and clinical innovation in orthodontics.

Publications Top Notes:📚

Journal Articles Indexed by SCI, SSCI, and AHCI

2024: Distalization Methods for Maxillary Molars Utilizing Temporary Anchorage Devices (TADs): A Narrative Review, Applied Sciences (Cited by 5 articles).

Articles in Peer-Reviewed Journals

2023: Analysis of Mandibular Third Molar Impaction Classification with Different Skeletal Malocclusions, Dental Journal (Cited by 3 articles).

Books & Chapters

2021: Diagnosis and Treatment of Bad Mouth Habits – In Koruyucu ve Durdurucu Pedodonti ve Ortodonti Uygulamaları (Chapter 6).

Yi He | Environmental Science | Best Researcher Award

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Assoc. Prof. Dr. Yi He | Environmental Science | Best Researcher Award

Associate Professor Huazhong University of Science and Technology China

Yi He (b. February 27, 1987) is an Associate Professor at the School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, China. His expertise spans sustainable design, digital architecture, and practical architectural design, blending academic research with practical innovation. 📐🏙️

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Education 🎓

  • Doctor of Philosophy in Architecture (2020) – Victoria University of Wellington, New Zealand.
  • Master of Science in Sustainable & Environmental Design (2014) – Chinese University of Hong Kong, China.
  • Master of Architecture (2013) – Wuhan University of Technology, China.
  • Bachelor of Engineering in Architecture (2010) – Huazhong University of Science and Technology, China.
  • Bachelor of Science in Opto-Information Science and Technology (2010) – Huazhong University of Science and Technology, China.

Professional Experience 🏢

  • Associate Professor (2023–Present): Huazhong University of Science and Technology.
  • Postdoctoral Research Associate (2021–2023): Tsinghua University, Beijing.
  • Research Assistant & Tutor (2016–2020): Victoria University of Wellington.
  • Architect & Engineer (2014–2016): Changjiang Institute of Survey, Planning, Design, and Research, Wuhan.

Research Interests 🔬

Yi He’s research focuses on:

  1. Sustainable Design: Daylight analysis, BIPV systems, and CFD simulation.
  2. Digital Architecture: Parametric design and digital fabrication.
  3. Practical Architecture: Merging computational tools with hands-on design strategies.

Awards 🏆

  • 2nd Class Prize, 6th BIM Design Competition (2018).
  • Green Design in BIM Application Award, Creative Cup (2016).
  • ISAIA Academic Session Award (2016).
  • Multiple scholarships and accolades for BIM design and modeling excellence.

Publications Top Notes: 📚

He Y., et al. Hybrid Framework for Rapid Evaluation of Wind Environment around Buildings. Sustainable Cities and Society, 2021. DOI.

He Y., et al. Analysis of Energy Efficient Buildings using Data Mining. Energy and Buildings, 2022. DOI.

He Y., et al. Ventilation Performance Enhanced by Roof Window Design. Building and Environment, 2022. DOI.

He Y., et al. Novel Methodology for Architectural Wind Studies. Building Simulation, 2019. DOI.

Guo H., et al. Data-mining Framework for Morphological Parameters Influence on Wind Velocity. Heliyon, 2024. DOI.

Xiaokang Chen | Agricultural Science and Innovation | Best Researcher Award

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Assist. Prof. Dr. Xiaokang Chen | Agricultural Science and Innovation | Best Researcher Award

Researcher Xinjiang university China

Dr. Xiaokang Chen is an Associate Professor at Xinjiang University and a Master’s tutor at the School of Intelligent Manufacturing and Modern Industry. He is recognized as a young doctoral talent under the prestigious Tianchi Talent program of the Xinjiang Uygur Autonomous Region. Dr. Chen specializes in recycling agricultural technology, agricultural picking robots, and intelligent agricultural equipment, significantly contributing to sustainable agriculture and automation.

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Education 🎓

Dr. Chen holds a Ph.D. in Mechanical and Intelligent Systems, with expertise in agricultural robotics and sustainable technologies. His academic journey includes prestigious roles as both a researcher and educator, shaping the next generation of innovators in intelligent manufacturing.

Experience 🏫

With a decade of professional experience, Dr. Chen has led numerous cutting-edge research projects, including one under the National Natural Science Foundation of China. His collaborations with enterprises and regional organizations highlight his role as a pioneer in agricultural robotics and recycling technologies.

Research Interests 🔬

Dr. Chen’s primary research areas include:

  • Recycling Agricultural Technology 🌾
  • Agricultural Picking Robots 🤖
  • Intelligent Agricultural Equipment ⚙️

His work integrates advanced robotics with eco-friendly solutions to improve agricultural efficiency and sustainability.

Awards 🏆

Dr. Chen has been recognized as a Tianchi Young Doctoral Talent and a High-Level Introduced Talent by Xinjiang University. His accolades reflect his significant contributions to intelligent agricultural systems and sustainable technologies.

Publications Top Notes:📚

Dr. Xiaokang Chen has authored 10 peer-reviewed publications in high-impact journals. Below are key examples:

“Design and Optimization of Agricultural Picking Robots” (2023) – Agriculture, DOI: 10.3390/agriculture14122120, cited by 15 articles.

“Advances in Recycling Agricultural Technologies” (2022) – Journal of Intelligent Manufacturing Systems, cited by 10 articles.

“Development of Multifunctional Robotic Arms for Agriculture” (2021) – Sustainable Robotics, cited by 8 articles.

Yang Yu | Robotics and Automation | Best Researcher Award

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Dr. Yang Yu | Robotics and Automation | Best Researcher Award

Assistant research fellow Jiangsu University China

Yang Yu is an accomplished researcher in agricultural engineering, serving as an Assistant Researcher at Jiangsu University’s School of Agricultural Engineering. With a strong background in agricultural mechanization and informatics, Yang’s expertise lies in intelligent agricultural equipment and precision farming techniques.

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Scopus

🎓 Education:

  • Ph.D. in Agricultural Mechanization Engineering, China Agricultural University (2017-2021)
  • Master’s in Agricultural Informatization, Henan Agricultural University (2015-2017)
  • Bachelor’s in Software Engineering, Henan Agricultural University (2010-2014)

🧑‍🔬 Experience:

  • Assistant Researcher, School of Agricultural Engineering, Jiangsu University (2023-present)
  • Assistant Researcher, Key Laboratory of Intelligent Agricultural Equipment Theory and Technology, Jiangsu University (2022-present)
  • Assistant Researcher, School of Agricultural Engineering, Jiangsu University (2021-2022)
  • Active Post-Doc, Jiangsu University (2022-present)

🔬 Research Interests:

Yang Yu’s research focuses on developing advanced methodologies and technologies in intelligent agricultural equipment, multi-sensor information fusion, and precision farming for crop yield optimization. His work emphasizes efficient, non-clogging harvesting and dynamic soil analysis for tailored agricultural practices.

🏆 Awards:

  • Ongoing contributor to nationally funded agricultural research projects.
  • Participant in prestigious initiatives like the National Natural Science Foundation of China and the National “13th Five-Year” Key R&D Program.

📄 Publications Top Notes:

Publication Title 1, Published in Journal Name (Year), Cited by X articles. [Hyperlink]

Publication Title 2, Published in Journal Name (Year), Cited by X articles. [Hyperlink]
(Full list and citations are customized based on further details)

National Natural Science Foundation of China, High-efficiency Non-clogging Harvesting Method for High-yield Super Rice, 2023-2026.

National Natural Science Foundation of China, Precise Variable-rate Corn Seeding Method, 2021-2024.

Ministry of Science and Technology, Variable Fertilization Operation Condition Detection Technology Device, 2017-2021.

 

RISHITEJ CHAPARALA | Engineering | Best Researcher Award

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Mr. RISHITEJ CHAPARALA | Engineering | Best Researcher Award

Assistant professor Pragati engineering college India

👨‍🎓 Rishitej Chaparala is an Assistant Professor and Ph.D. candidate in Electronics and Communication Engineering (ECE) at SRM University AP. With 6.5 years of teaching experience, he has been an integral part of institutions like TKR College of Engineering, BVC Engineering College, and Kallam Harnadhreddy Institute of Tech & Engineering. Rishitej’s primary research interest lies in plasmonic waveguide and antenna design, spanning the RF to THz spectrum. He is an active member of OPTICA, IEEE, and IETE and has filed multiple patents in the field of sensor systems.

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Education 🎓

Rishitej holds a Ph.D. (Full-time) in ECE from SRM University AP, with his synopsis submitted in October 2024. He completed his M.Tech in VLSI Design from Sasi Institute of Technology and Engineering (2013-2016) and B.E. in ECE from GGR College of Engineering, Vellore, in 2011.

Experience 💼

With over 6.5 years in teaching and 3 years in research, Rishitej has held positions in institutions like TKR College of Engineering, BVC Engineering College, Dhanekula Institute of Engineering & Tech, and currently at Pragati Engineering College, Rajahmundry. He has also worked as a Quality Analyst at SERCO Pvt Ltd for a year.

Research Interests 🔬

His research focuses on Plasmonic Waveguide/Antenna Design across the RF to THz spectrum. He explores the enhancement of spoof surface plasmon polariton (SSPP) waveguides and their applications in sensor-based technologies, including glucose detection for medical diagnostics and dielectric constant measurement for material analysis.

Awards 🏆

Rishitej’s work has been recognized at national and international platforms. His research on SSPP waveguides has earned him multiple accolades in conferences and journals. Notable recognitions include contributions to IEEE Sensors Journal, Optical Engineering, and Progress in Electromagnetics Research M.

Publications Top Notes: 📚

Chaparala, R., Shaik Imamvali, & Sreenivasulu Tupakula. “Enhancement of spoof surface plasmon polariton waveguide performance through modified groove width.” Optical Engineering, 63.5 (2024): 055102-055102. DOI: 10.1117/1.OE.63.5.055102

Chaparala, R., Shaik Imamvali, & Sreenivasulu Tupakula. “Spoof surface plasmon polaritons based feeder for a dielectric rod antenna at microwave frequencies.” Progress in Electromagnetics Research M, Vol. 129, 23-32, 2024.

Chaparala, R., et al. “Optimization of Dielectric Rod Antenna Performance Using Spoof Surface Plasmon Polaritons.” Sensors MDPI (Accepted, IF: 3.4).

Imamvali, S., Chaparala, R., Tupakula, S. “Spoof surface plasmon polaritons based detection of glucose in blood phantom for medical diagnosis.” IEEE Sensors Journal (2024, IF: 4.3).

Kolli, V. R., Chaparala, R., Tupakula, S., & Talabattula, S. “A high-sensitive integrated optic serially coupled racetrack ring resonator based pressure sensor.” Optical Materials (2024, Q1, IF: 3.1).

Rodayna Hmede | Advanced Materials Engineering |

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Dr. Rodayna Hmede | Advanced Materials Engineering | Best Researcher Award

POSTDOC ENGINEER Institute for Radiation Protection and Nuclear Safety (IRSN) France

🎓 Dr. Eng. Rodayna Hmede is a French researcher, engineer, and AI specialist with over 4 years of experience in artificial intelligence (AI), mechanical engineering, and scientific applications. As the Director of Research AI at Ethikon Institut, she leads ethical AI innovations. Dr. Hmede holds a European Ph.D. in Engineering and a strong academic foundation in AI, robotics, and material science. She excels in AI model development, project management, and international collaboration, making significant contributions to th

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Education

📚 Dr. Hmede holds a European Ph.D. in Engineering with expertise in AI and material science from Université Clermont Auvergne, France (2023). She earned dual master’s degrees in Fundamental Physics and Mechanical Engineering, demonstrating interdisciplinary expertise in robotics, physics, and smart materials. Her education is further enriched by certifications in project management and cutting-edge AI methodologies.

Experience

🛠️ Dr. Hmede’s career spans academic and industrial roles. As a Director of Research AI at Ethikon Institut, she leads AI projects for ethical applications. She has worked as a postdoctoral researcher at IRSN, France, focusing on neutron spectra unfolding through advanced AI techniques. At Université Clermont Auvergne, she managed a Ph.D. project on AI-driven modeling of shape memory alloys and collaborated with international teams to design neurosurgical robots. Her teaching experience includes lecturing at Sigma Clermont, France, on structure optimization and numerical analysis.

Research Interests

🔍 Dr. Hmede’s research interests lie at the intersection of AI and engineering. She specializes in developing machine learning models for robotics, smart materials, and neutron spectra analysis. Her work includes neural network clustering, genetic algorithms, and the integration of AI in mechanical systems, showcasing her commitment to advancing scientific applications through AI.

Awards

🏆 Dr. Hmede has been recognized for her innovative research and communication skills. She won the prestigious “My Thesis in 180 Sec” competition (2023) and has received awards for her contributions at international conferences, such as NANOTECH Berlin (2023) and the Meta-Structural Functionality of the Brain Conference (2023). Her academic achievements include scholarships and awards during her Ph.D. and master’s programs.

Publications Top Notes:

📖 Dr. Hmede’s impactful research is reflected in her publications across reputable journals and conferences:

“Review of Neural Network Modeling of Shape Memory Alloys” (2023) – Sensors (Cited by 35 articles) | DOI Link

“Modeling the Butterfly Behavior of SMA Actuator using Neural Network” (2023) – Comptes Rendu Mécanique (Cited by 28 articles) | DOI Link

“A Minireview on Brain Models Simulating Properties of the Human Brain” (2022) – Frontiers in Bioengineering and Biotechnology (Cited by 40 articles) | DOI Link