Mr. Hung Tran | Antenna | Best Researcher Award

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Mr. Hung Tran | Antenna | Best Researcher Award

Sejong University, South Korea

Dr. Huy Hung Tran is a distinguished researcher in antenna design and electromagnetic wave applications, with expertise in MIMO, reconfigurable, and metasurface-based antennas. Born in Hanoi, Vietnam, he has built an impressive academic and professional career, contributing significantly to the fields of telecommunications and 5G technology. Currently, he is a faculty member at Phenikaa University, Vietnam, where he continues his groundbreaking research in next-generation wireless communication systems.

Publication Profile

Google Scholar

📚 Academic Background

Dr. Tran earned his Ph.D. in Electronics and Electrical Engineering from Dongguk University, Korea (2017–2020), focusing on polarization-reconfigurable and omnidirectional antennas. Prior to this, he obtained his Master’s degree in Electrical and Computer Engineering from Ajou University, Korea (2013–2015), where he specialized in wideband circularly polarized resonant cavity antennas. His undergraduate studies at Hanoi University of Science and Technology (2008–2013) laid the foundation for his expertise in satellite and GPS antenna design.

🏆 Professional Experience

Dr. Tran has extensive research experience in antenna technology. Since 2020, he has been working at Phenikaa University, Vietnam, researching MIMO and reconfigurable antennas. Previously, he was a key researcher at the Electromagnetic Wave Application Lab at Dongguk University, Korea (2017–2019), contributing to the development of metasurface antennas and circularly polarized designs. His earlier work at Ajou University’s Microwave and THz Communication Lab (2013–2016) focused on RFID antennas and beam-steering arrays.

🎖 Awards and Honors

Dr. Tran has received multiple recognitions for his contributions to antenna technology. His research has been published in prestigious journals like IEEE Access and Electronics, highlighting his innovative work in compact, high-isolation MIMO antennas. His expertise in antenna design has positioned him as a leading researcher in Vietnam’s growing telecommunications sector.

🔬 Research Focus

Dr. Tran’s research revolves around the theoretical and practical aspects of electromagnetic wave propagation and antenna radiation in advanced materials. His primary areas of interest include reconfigurable antennas, MIMO systems, compact antennas for mobile applications, and 5G technology. He also specializes in metasurface-based antenna design, enhancing bandwidth, gain, and polarization control.

✨ Conclusion

Dr. Huy Hung Tran is a passionate researcher dedicated to advancing antenna and wireless communication technology. His work in high-performance antenna design is shaping the future of telecommunications, making significant contributions to next-generation networks. His expertise and innovative approach continue to influence the academic and industrial sectors in Vietnam and beyond.

📖 Top Publications

Coupling Reduction of Extremely Closely Spaced Circularly Polarized MIMO Patch Antenna by Phase Shift Method (IEEE Access, 2023) – Read here

A Metasurface-Based MIMO Antenna with Compact, Wideband, and High Isolation Characteristics for Sub-6GHz 5G Applications (IEEE Access, 2023) – Read here

A Flexible and Bandwidth Reconfigurable Antenna for Cognitive Communication (IEEE Access, 2023) – Read here

A Compact Metasurface-Based Circularly Polarized Antenna with High Gain and High Front-to-Back Ratio for RFID Readers (PLOS ONE, 2023) – Read here

Two Closely Spaced Microstrip Patches with High Isolation for Full-Duplex/MIMO Applications (PLOS ONE, 2023) – Read here

Circularly Polarized MIMO Antenna Based on Microstrip Patch and Metasurface Structures (Electronics, 2023) – Read here

A Design of MIMO Antenna with High Isolation and Compact Size Characteristics (IEEE Access, 2023) – Readhere

Mrs. Ionela Chereja | Privacy of data | Best Researcher Award

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Mrs. Ionela Chereja | Privacy of data | Best Researcher Award

Data Engineer and Doctoral student, Technical University of Cluj-Napoca, Romania

Ionela Chereja is a dedicated Data Engineer and doctoral student at the Technical University of Cluj-Napoca, Romania. With over 12 years of experience in data engineering and research, she has contributed significantly to data warehousing, database administration, performance optimization, and data privacy. Her expertise extends to developing frameworks that enhance data security in complex ecosystems.

Publication Profile

Scopus

🎓 Academic Background:

Ionela holds a Bachelor’s degree in Computer Science and a Master’s degree in Databases (Data Science). She is currently pursuing her Ph.D., focusing on privacy assessment frameworks for multilayered data ecosystems. Her academic journey has been marked by a deep commitment to advancing data security and architecture.

💼 Professional Experience:

With extensive industry experience, Ionela has worked on numerous data ecosystem projects in education, media, retail, finance, private hosting, and advertising. She has been instrumental in developing data storage solutions that balance performance and privacy while ensuring compliance with industry regulations.

🏆 Awards and Honors:

Ionela has been recognized for her research contributions in data privacy and security. Her work on privacy assessment frameworks has been widely appreciated in academic and professional circles, earning her citations and collaborations in high-impact research projects.

🔬 Research Focus:

Her primary research interests include data privacy, data storage systems, and data architecture. She is actively engaged in developing innovative assessment frameworks that address security challenges in complex data ecosystems, aiming to improve vulnerability detection and risk mitigation strategies.

🔎 Conclusion:

Ionela Chereja is a passionate researcher and industry expert committed to enhancing data privacy and security in modern ecosystems. Through her academic and professional journey, she continues to bridge the gap between research and real-world applications, making valuable contributions to the field of data engineering.

🔗 Publications Top Notes:

Mr. Kostas Ordoumpozanis | Computer Vision | Best Researcher Award

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Mr. Kostas Ordoumpozanis | Computer Vision | Best Researcher Award

Phd Cand. Department of Cultural Technology and Communication, University of the Aegean Greece, Greece

Kostas Ordoumpozanis is a dynamic AI researcher, developer, and educator specializing in multi-agent AI systems 🤖. Currently a PhD candidate at the University of the Aegean, Greece, his expertise spans AI-driven automation, large language models (LLMs), retrieval-augmented generation (RAG), and AI-human collaboration. With a background in mechanical engineering and over a decade of experience in full-stack development, AR, and creative technology, he blends technical proficiency with artistic innovation. Kostas is also an entrepreneur, recognized for his startup ventures in AI and augmented reality, making significant contributions to AI-driven storytelling, gamification, and sustainable design 🌍.

Publication Profile

ORCID

🎓 Academic Background

Kostas holds a 5-year Mechanical Engineering degree from the University of Western Macedonia, Greece (2005) 🏗️. He pursued PhD research on hybrid ventilated PV facades at the same institution (2006-2021) and is currently completing an MPhil in Computer Science & AI at the International Hellenic University (2023-present) 🎓. His latest research focuses on AI multi-agent systems as part of his PhD at the University of the Aegean (2024-present), further cementing his expertise in AI agency and intelligent automation.

💼 Professional Experience

With a diverse career spanning multiple domains, Kostas worked as a mechanical engineer and sustainable design simulation expert (2006-2016) before transitioning into digital arts, photography, and cinematography (2013-2020) 🎥. His entrepreneurial journey includes founding a startup specializing in augmented reality (2016-2024) and serving as a skills educator (2008-2023) 📚. Since 2018, he has been a full-stack developer, focusing on AI applications, web technologies, and vector databases. Currently, he is an AI researcher and developer working on LLMs, AI agents, and human-machine collaboration 🤖.

🏆 Awards and Honors

Kostas has received numerous accolades, including recognition as a “Rising Start-Up Business” from the Evros Chamber, Greece (2023) 🚀. He secured first place in the EU Interreg Greece-Bulgaria Startup Contest (2023) and was a finalist in the Athens StartUp Awards (2018) and XR COSMOS Greece (2021). His innovative contributions earned him a patent recognition in Greece (2018) 🏅.

🔬 Research Focus

His research revolves around AI agentic systems, LLM optimization, RAG architectures, and AI-driven storytelling 🧠. He explores the intersection of generative AI, human-computer collaboration, and augmented reality for educational and creative applications. His work also extends to sustainable AI, assessing the carbon footprint of deep learning models and developing efficient AI architectures for various domains.

📝 Conclusion

Kostas Ordoumpozanis is a visionary AI researcher and innovator, merging technical expertise with creative problem-solving. His contributions to AI agents, storytelling, and sustainable AI showcase his commitment to pushing technological boundaries. With a strong academic foundation, industry experience, and entrepreneurial mindset, he continues to shape the future of AI-driven systems and human-machine interaction 🌍.

📚 Top Research Publications

Reviewing 6D Pose Estimation: Model Strengths, Limitations, and Application Fields (2025) – Applied Sciences
Cited by: Multiple AI research articles

Green AI: Assessing the Carbon Footprint of Fine-Tuning Pre-Trained Deep Learning Models in Medical Imaging (2024) – 3ICT Conference, Bahrain
Cited by: Research in sustainable AI and medical imaging

C-LINK Agent: Connecting Social Media Post Generation with Recommender Systems (2024) – SMAP 2024 Conference
Cited by: Works in AI-driven social media automation

A Second-Generation Agentic Framework for Generative AI-Driven Augmented Reality Educational Games” (2025) – EDUCON Conference
Cited by: Research in AI and AR-driven education

Energy, Comfort, and Indoor Air Quality in Nursery and Elementary School Buildings in the Cold Climatic Zone of Greece” (Published in Energy and Buildings)
Cited by: Sustainability and green architecture studies

Energy and Thermal Modeling of Building Façade Integrated Photovoltaics” (Published in Thermal Science)
Cited by: Research in sustainable energy and architecture

Dr. Uddalak Mitra | Machine learning | Best Researcher Award

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Dr. Uddalak Mitra | Machine learning | Best Researcher Award

Assistant Professor, JIS College of Engineering, India

Dr. Uddalak Mitra is an esteemed Assistant Professor at JIS College of Engineering, specializing in bioinformatics, machine learning, and deep learning 🧬🤖. With a strong academic foundation and a passion for research, he has significantly contributed to the intersection of computational intelligence and biological sciences. His expertise lies in decoding DNA, RNA, and protein sequences using cutting-edge AI techniques, paving the way for advancements in healthcare and genomics. Dr. Mitra’s work seamlessly blends theoretical knowledge with real-world applications, making impactful strides in both academia and industry.

Publication Profile

Google Scholar

🎓 Education:

Dr. Mitra has built a solid academic background in computational sciences, equipping himself with the expertise required to address complex biological challenges. His educational journey has provided him with the technical prowess to integrate artificial intelligence into biomedical research.

💼 Experience:

As an Assistant Professor at JIS College of Engineering, Dr. Mitra actively engages in research and mentoring, shaping the next generation of scientists. His work focuses on applying machine learning models to analyze biological data, improving early disease detection methodologies. Additionally, he has authored several research papers and contributed to the academic community through his innovative studies.

🏆 Awards and Honors:

Dr. Mitra has made commendable contributions to scientific research, earning recognition for his published works. He holds 9 patents, showcasing his dedication to innovation. His memberships in esteemed organizations like IFERP and ISTE reflect his commitment to professional development and research excellence.

🔬 Research Focus:

His research primarily revolves around bioinformatics, machine learning, and deep learning. He explores information-theoretic tools for biological sequence analysis, integrating artificial intelligence to derive meaningful insights from genomic data. His recent studies focus on clinical applications of AI, particularly in disease diagnosis and personalized medicine.

🔍 Conclusion:

Dr. Uddalak Mitra is a pioneering researcher dedicated to bridging the gap between bioinformatics and artificial intelligence. His contributions to genomic research, coupled with his expertise in AI-driven disease diagnosis, make him a valuable asset to the scientific community. With a strong foundation in computational biology, he continues to push the boundaries of research, striving for innovations that benefit both medicine and technology.

📚 Publications:

Leveraging AI and Machine Learning for Next-Generation Clinical Decision Support Systems (CDSS) – Published in AI-Driven Innovation in Healthcare Data Analytics, 2025.

Cognitive Handwriting Insights for Alzheimer’s Diagnosis: A Hybrid Framework – Information, 2025

Integrated System for Disease Detection Using Semiconductor-Based Gas Sensors and AI/ML – IN Patent A61B0005080000, 2025

Significance of AI/ML Wearable Technologies for Education and Teaching – Wearable Devices and Smart Technology for Educational Teaching Assistance, 2025

Integrating AI/ML With Wearable Devices for Monitoring Student Mental Health – Wearable Devices and Smart Technology for Educational Teaching Assistance, 2025

The Evolution of Entrepreneurship in the Age of AI – Advanced Intelligence Systems and Innovation in Entrepreneurship, 2024

A Novel Algorithm for Genomic STR Mining: Application to Phylogeny Reconstruction and Taxa Identification – International Journal of Bioinformatics Research and Applications, 2024

Dr. Alexander Vaccaro | Biotechnology | Best Researcher Award

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Dr. Alexander Vaccaro | Biotechnology | Best Researcher Award

President, Rothman Orthopaedics, United States

Dr. Alexander Richard Vaccaro, M.D., Ph.D., F.A.C.S., is a globally renowned orthopaedic spine surgeon and a pioneer in spinal cord injury research. He serves as the Chairman of Orthopaedics at Sidney Kimmel Medical College at Thomas Jefferson University and the President of the Rothman Institute. With decades of expertise in orthopaedic and neurosurgical advancements, he has played a pivotal role in developing innovative treatments for spinal disorders. His dedication to clinical research, surgical education, and leadership has earned him prestigious awards and global recognition.

Publication Profile

ORCID

🎓 Education

Dr. Vaccaro’s academic journey reflects excellence in medicine, surgery, and business leadership. He graduated Summa Cum Laude in Biology from Boston College (1983), followed by an M.D. from Georgetown University School of Medicine (1987). His surgical internship at Cedars-Sinai Medical Center (1988) and orthopaedic residency at Thomas Jefferson University Hospital (1992) laid the foundation for his career. Further specializing in spine surgery, he completed a Spine Fellowship at the University of California, San Diego (1993). He also earned a Ph.D. from the University of Utrecht, Netherlands (2007) and an MBA from Temple University Fox School of Business (2015), receiving the Dean’s Certificate of Excellence.

💼 Experience

Dr. Vaccaro has over three decades of experience in orthopaedic surgery, neurosurgery, and spinal cord injury treatment. Since 2014, he has been the Chairman of Orthopaedics at Sidney Kimmel Medical College and the Endowed Richard H. Rothman Professor and Chairman of the Department of Orthopaedic Surgery. His long-standing association with Thomas Jefferson University Hospital includes roles as Professor of Orthopaedic Surgery (since 2000) and Professor of Neurosurgery (since 2005). He is also the Co-Director of the Spine Fellowship Program, the Regional Spinal Cord Injury Center of Delaware Valley, and the Reconstructive Spine Service at Rothman Institute. His leadership in spine surgery innovation, education, and research has significantly impacted the field.

🏆 Awards and Honors

Dr. Vaccaro has received numerous prestigious awards for his contributions to spinal surgery and clinical research. Notably, he was the President and Founder of the Association for Collaborative Spine Research (2013). His research excellence has been recognized with the Best Paper Award (2012), the Outstanding Clinical Research Paper (2011), and the Louis A. Goldstein Award for Best Clinical Poster Presentation (2011). His North American Spine Society Top 10 Best Abstracts Award (2011) and multiple international accolades highlight his significant contributions to the field.

🔬 Research Focus

Dr. Vaccaro’s research centers on spinal cord injuries, cervical and lumbar spine disorders, surgical advancements, and spinal biomechanics. His groundbreaking studies have influenced clinical decision-making, surgical techniques, and patient outcomes in orthopaedic and neurosurgical spine treatment. He has led multicenter studies on cervical spondylotic myelopathy, spinal cord trauma, and adjacent segment disease, shaping modern spine surgery practices worldwide.

🔚 Conclusion

Dr. Alexander R. Vaccaro is a visionary leader in spine surgery and orthopaedic research. His exceptional academic background, extensive clinical experience, groundbreaking research, and prestigious accolades make him a trailblazer in spinal cord injury treatment. Through his innovations in spine surgery, mentorship of future surgeons, and relentless pursuit of medical advancements, he continues to transform global spine care and orthopaedic research. 🚀

📖 Publications

Stingers—A Review of Current Understanding and Management – Applied Sciences, 2025 🔗 DOI: 10.3390/app15073510

Epidemiology of Spinal Cord Injury and Associated Mortality, Past and Present. Is There a Difference? – World Neurosurgery, 2024 🔗 DOI: 10.1016/j.wneu.2024.10.009

Cellular Bone Matrix Leading to Disseminated Tuberculosis After Spinal Fusion – JBJS Case Connector, 2023 🔗 DOI: 10.2106/JBJS.CC.23.00047

The Role of Exercise in the Alleviation of Neuropathic Pain Following Traumatic Spinal Cord Injuries: A Systematic Review and Meta-analysis – Neurospine, 2023 🔗 DOI: 10.14245/ns.2346588.294

Complete Versus Incomplete Surgical Resection in Intramedullary Astrocytoma: Systematic Review with Individual Patient Data Meta-Analysis – Global Spine Journal, 2023 🔗 DOI: 10.1177/21925682221094766

Muhammad Bilal Mahmood | Security | Best Researcher Award

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Mr. Muhammad Bilal Mahmood | Security | Best Researcher Award

PhD Scholar, Dalian University of Technology, China

Muhammad Bilal Mahmood is a dedicated researcher and educator in Software Engineering, currently pursuing his Ph.D. at Dalian University of Technology, China 🎓. With a strong foundation in Computer Engineering and extensive expertise in machine learning, natural language processing, and cybersecurity, he has contributed significantly to academia and research. As a lecturer at The University of Lahore, Pakpattan Campus, since 2017, he has been instrumental in shaping young minds and fostering innovation 💡. His research interests include deep learning, facial expression recognition, and AI-driven cybersecurity solutions.

Publication Profile

ORCID

📚 Education

Muhammad Bilal Mahmood’s academic journey reflects his passion for cutting-edge technology and innovation 🚀. He is currently a Ph.D. candidate in Software Engineering (2021–2025) at Dalian University of Technology, China. Prior to this, he earned his MS in Computer Engineering from NUST College of Electrical & Mechanical Engineering, Rawalpindi, Pakistan (2015) 🎓. His undergraduate studies in Computer System Engineering were completed at NFC Institute of Engineering & Technological Training, Multan, Pakistan (2011), laying the groundwork for his expertise in programming and research.

💼 Experience

With over six years of academic and research experience, Muhammad Bilal Mahmood has been serving as a Lecturer at The University of Lahore, Pakpattan Campus, since 2017 🏫. His responsibilities include developing system requirement specifications, designing databases, programming under strict coding guidelines, and ensuring seamless project management 📊. His ability to mentor students and collaborate with fellow researchers has made him a valuable asset in the field of software engineering.

🏆 Awards and Honors

Throughout his career, Muhammad Bilal Mahmood has been recognized for his contributions to research and academia 🏅. His innovative work in deep learning, NLP, and cybersecurity has earned him appreciation within the research community. His expertise in artificial intelligence-driven security solutions has led to impactful publications, making significant contributions to advancing technological frontiers.

🔬 Research Focus

Muhammad Bilal Mahmood’s research primarily revolves around artificial intelligence, deep learning, and cybersecurity 🔍. His work includes speech emotion recognition, malicious package detection in PyPI, and facial expression analysis using convolutional neural networks 🤖. He has also contributed to medical image processing, topic discovery in health data, and chatbot development for university applications. His interdisciplinary research bridges the gap between AI and real-world applications, improving human-computer interactions.

📝 Conclusion

Muhammad Bilal Mahmood is a passionate researcher, educator, and software engineer dedicated to advancing AI-driven solutions and cybersecurity methodologies 💡. His commitment to academia, combined with his innovative research projects, makes him a valuable contributor to the field. Through his teaching and research, he continues to inspire the next generation of engineers and scientists, pushing the boundaries of technological advancements. 🚀

📄 Publications

Recognizing Semi-Natural and Spontaneous Speech Emotions Using Deep Neural Networks – This research explores deep learning-based speech emotion recognition to enhance human-computer interaction. [Published in: Journal Name, Year] 📜🔗

PypiGuard: A novel meta-learning approach for enhanced malicious package detection in PyPI through static-dynamic feature fusion – This paper introduces a cutting-edge security framework for detecting malicious packages in Python’s package repository. [Published in: Journal Name, Year] 📜🔗

Assist. Prof. Dr. Teerasak Somsak | renewable energy | Best Researcher Award

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Assist. Prof. Dr. Teerasak Somsak | renewable energy | Best Researcher Award

Lecturer, Ragamagala University of Technology Lann, Thailand

Asst. Prof. Teerasak Somsak (Ph.D.) is a dedicated academic and researcher in the field of Electrical Engineering, specializing in renewable energy and energy applications. Currently serving as a Lecturer at Rajamangala University of Technology Lanna, Thailand, he has made significant contributions to sustainable energy solutions, non-destructive testing, and rural development. With a strong background in photovoltaic systems, energy storage, and inductive wireless power transfer, he has been instrumental in advancing energy-efficient technologies. His extensive research and academic contributions continue to impact the fields of electrical engineering and environmental sustainability.

Publication Profile

Google Scholar

🎓 Education

Dr. Teerasak Somsak holds a Ph.D. in Electrical Engineering from Kanazawa University, Japan (2008). Prior to that, he earned an M.Eng. in Energy Technology (2000) and a Graduate Diploma in Energy Technology (1998) from King Mongkut’s University of Technology Thonburi. His academic journey began with a Higher Diploma in Electrical Power from Patumwan Institute of Technology in 1996, equipping him with a strong foundation in electrical and energy technologies.

💼 Experience

With over two decades of experience, Dr. Somsak has been actively engaged in research and academia. From 1998 to 2011, he worked as a researcher at King Mongkut’s University of Technology Thonburi, focusing on energy technology and sustainable power solutions. Since 2011, he has been a Lecturer at Rajamangala University of Technology Lanna, where he mentors students and leads research projects in renewable energy, energy storage, and rural electrification. His expertise extends to non-destructive testing and engineering solutions for agriculture.

🏆 Awards and Honors

Dr. Somsak’s contributions to renewable energy research have been widely recognized. In 2004, he received the Best Poster Presentation Award at the Photovoltaic Science and Engineering Conference (PVSEC-14) in Bangkok for his work on PV-Diesel Hybrid Systems. He was also a recipient of the prestigious Monbukagakusho (MEXT) Scholarship from the Japanese Ministry of Education, Culture, Sports, Science, and Technology, supporting his doctoral studies at Kanazawa University (2005-2008).

🔬 Research Focus

Dr. Somsak’s research primarily revolves around renewable energy applications, including photovoltaic, hydro, wind, and biomass energy systems. His work also extends to energy storage technologies and their applications in sustainable power generation. He has a keen interest in engineering solutions for agricultural sustainability (3EforA) and rural electrification. Additionally, he explores non-destructive testing methods using Eddy-current techniques, contributing to advancements in material evaluation and energy efficiency.

📚 Publications

A 10 kW Inductive Wireless Power Transfer Prototype for EV Charging in Thailand, IEEE Transactions on Electrical Engineering, Electronics, and Communications, 20(1), pp. 83-95. Cited in IEEE.

 Optimal solar energy on thermoelectric cooler of water generator in case study on flood crisis, Japanese Journal of Applied Physics, 57, 08RH05. Cited in JJAP.

 An economic evaluation comparison of solar water pumping system with engine pumping system for rice cultivation, Japanese Journal of Applied Physics, 54, 08KH01. Cited in JJAP.

Economic and Sensitivity Analyses for an Optimal Hybrid Power Generation for Stand-Alone Power Systems: Case of Klongrua, Phato, Chumphon, Thailand, 2022 International Electrical Engineering Congress (iEECON), Khon Kaen, Thailand. DOI: 10.1109/iEECON53204.2022.9741700.

A Prototype of Block UU Shape Ferrite Cores Inductive Wireless Power Transfer for EV Charger, 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Chiang Mai, Thailand. DOI: 10.1109/ECTICON51831.2021.9454859.

🔚 Conclusion

Dr. Teerasak Somsak is a distinguished educator and researcher dedicated to advancing renewable energy solutions and sustainable power systems. His expertise in photovoltaic systems, wireless power transfer, and rural electrification has made a significant impact in the field of electrical engineering. Through his research, teaching, and numerous publications, he continues to contribute to global energy sustainability and technological advancements. 🌱⚡

Dr. Fuhou Li | Biotechnology | Best Researcher Award

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Dr. Fuhou Li | Biotechnology | Best Researcher Award

Associate Professor, Jilin University, China

Dr. Fuhou Li 🎓 is an accomplished researcher and Associate Professor at the College of Animal Science, Jilin University, China. His expertise lies in silage research, ruminant nutrition, and microbial fermentation, with a strong focus on improving animal health and feed efficiency. Currently, he is a visiting scholar at the University of Illinois at Urbana-Champaign, furthering his research in animal science. Dr. Li has significantly contributed to understanding lactic acid bacteria’s role in silage fermentation, optimizing animal nutrition, and investigating rumen microbial communities. His work has been widely recognized through numerous high-impact publications in leading peer-reviewed journals. 📚🔬

Publication Profile

🎓 Education

Dr. Li earned his Ph.D. (2017-2021) and Master’s degree (2014-2017) from the College of Pastoral Agriculture Science and Technology, Lanzhou University, specializing in silage research and animal nutrition. His undergraduate studies (2010-2014) in grassland science were completed at Jilin Agricultural University. His strong academic background has enabled him to contribute significantly to the field of animal nutrition. 🎓📖

💼 Experience

Dr. Li’s academic journey includes postdoctoral research (2021-2024) at Lanzhou University, focusing on silage and ruminant nutrition. Since 2024, he has been serving as an Associate Professor at Jilin University, where he continues to advance research in animal science. His current role as a visiting scholar at the University of Illinois at Urbana-Champaign (2025-) further strengthens his international research collaborations. His extensive experience in microbial fermentation and animal feed optimization has made him a respected scientist in his field. 🏫🔬

🏆 Awards and Honors

Dr. Li has been recognized for his outstanding contributions to silage research and animal nutrition. His publications in top-tier journals, along with his active role in international conferences, have earned him accolades from the scientific community. His innovative research on lactic acid bacteria and fermentation quality has positioned him as a leading expert in ruminant nutrition. 🏅📜

🔬 Research Focus

Dr. Li’s research revolves around the effects of lactic acid bacteria on silage fermentation and animal health, microbial interactions in ruminant digestion, and optimizing silage quality to enhance livestock productivity. His work explores how microbial communities and enzyme-producing bacteria influence fermentation characteristics and nutrient availability in silage, benefiting both dairy and meat production industries. His findings contribute to sustainable livestock management and improved animal health. 🐄🌿

📖 Publications

Responses of microbial community composition and CAZymes encoding gene expression in ensiled Elymus nutans to altitudinal gradients in alpine region. Applied and Environmental Microbiology.

Effects of inoculating feruloyl esterase-producing Lactiplantibacillus plantarum A1 on ensiling characteristics, in vitro ruminal fermentation, and microbiota of alfalfa silage. Journal of Animal Science and Biotechnology.

Probiotic effect of feeding feruloyl esterase-producing Lactobacillus plantarum inoculated alfalfa silage on digestion, antioxidant, and immunity status of lactating dairy goats. Animal Nutrition.

Nutrient utilization of native herbage and oat forage as feed for Tibetan sheep (Ovis aries). Grassland Science.

The effects of Lactobacillus plantarum with feruloyl esterase-producing ability or high antioxidant activity on fermentation, chemical composition, and antioxidant status of alfalfa silage. Animal Feed Science and Technology.

Effects of class IIa bacteriocin-producing Lactobacillus species on fermentation quality and aerobic stability of alfalfa silage. Animals.

Pretreatment of Pennisetum sinese silages with ferulic acid esterase-producing lactic acid bacteria and cellulase at two dry matter contents: Fermentation characteristics, carbohydrate composition, and enzymatic saccharification. Bioresource Technology.

Ferulic acid esterase-producing lactic acid bacteria and cellulase pretreatments of corn stalk silage at two different temperatures: Ensiling characteristics, carbohydrate composition, and enzymatic saccharification. Bioresource Technology.

📚 Conclusion

Dr. Fuhou Li is a dedicated scientist whose research has significantly impacted the field of silage fermentation and ruminant nutrition. His extensive experience, high-impact publications, and ongoing international collaborations reflect his commitment to advancing animal science. Through his innovative research, he continues to drive improvements in animal feed efficiency, microbial interactions, and sustainable livestock nutrition. 🌱🔬🐑

Prof. Saida Mebarek | biochemistry | Best Researcher Award

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Prof. Saida Mebarek | biochemistry | Best Researcher Award

Professor, UNIVERSITE LYON 1, France

Dr. Saida Mebarek is a distinguished Professor of Biochemistry at Université Lyon 1, Villeurbanne, France. With a career spanning over two decades, she has made significant contributions to the fields of biochemistry, extracellular vesicles, and bone mineralization. Her expertise in protein interactions, tissue engineering, and molecular biology has positioned her as a leading researcher in her domain. She has published extensively in high-impact journals and supervised numerous research projects, earning recognition for her outstanding scientific contributions.

Publication Profile

ORCID

🎓 Education

Dr. Mebarek obtained her Ph.D. in Biochemistry from INSA de Lyon, Villeurbanne, France (2006), following a Master’s degree in Biochemistry from Université Lyon 1 (2001-2002), where she ranked 5th among 31 students. She also earned her Bachelor’s degree in Biochemistry from the same university (1998-2001), achieving an impressive 4th rank out of 140 students. Her strong academic background laid the foundation for her groundbreaking research in biochemistry and molecular biology.

💼 Experience

Dr. Mebarek began her research journey as a Postdoctoral Fellow at CNRS, Marseille, France (2006-2007), under the mentorship of Dr. Gerard Hilaire. She then served as a Junior Lecturer at INSA de Lyon (2005-2006), where she honed her teaching skills. In 2007, she joined Université Lyon 1 as an Associate Professor in Biochemistry at UMR CNRS 5246, ICBMS, and held this position until 2022. She was accredited to supervise research in 2015, and in 2022, she was promoted to the position of Professor of Biochemistry at Université Lyon 1, where she continues to lead pioneering research and mentor future scientists.

🏆 Awards and Honors

Dr. Mebarek’s contributions to biochemistry and molecular biology have earned her prestigious recognition in the scientific community. Her research excellence has been reflected in high-impact publications, international collaborations, and funding for groundbreaking projects. She has been an active participant in global scientific discussions, contributing significantly to advancements in extracellular vesicles and biomolecular interactions.

🔬 Research Focus

Dr. Mebarek’s research revolves around biochemistry, extracellular vesicles, bone mineralization, and tissue engineering. Her work explores protein interactions, cellular signaling, and therapeutic applications of biomolecules. She has made notable advancements in understanding the role of extracellular vesicles in cancer diagnostics and regenerative medicine. Her recent studies on space radiation, osteoanabolic therapies, and diet-induced bone health improvements have garnered international attention.

📝 Publications

A protein corona modulates the function of mineralization-competent matrix vesicles (2025) – JBMR Plus [🔗 DOI: 10.1093/jbmrpl/ziae168]

Teriparatide administration is osteoanabolic but does not impact atherosclerotic plaque calcification and progression in a mouse model of menopause (2024) – Bone [🔗 DOI: 10.1016/j.bone.2024.117316]

Positive impact of pyrocarbon and mechanical loading on cartilage-like tissue synthesis in a scaffold-free process (2024) – Journal of Bioscience and Bioengineering [🔗 DOI: 10.1016/j.jbiosc.2024.09.005]

Space radiation damage rescued by inhibition of key spaceflight-associated miRNAs (2024) – Nature Communications [🔗 DOI: 10.1038/s41467-024-48920-y]

Brazil nut-enriched diet modulates bone mineral density and body composition in an experimental model of chronic kidney disease (2024) –

Nutrition [🔗 DOI: 10.1016/j.nut.2024.112482]

The surface proteomic profile of serum extracellular vesicles as a diagnostic and prognostic tool in breast cancer (2024) – Current Opinion in Physiology [🔗 DOI: 10.1016/j.cophys.2023.100734]

Do Media Extracellular Vesicles and Extracellular Vesicles Bound to the Extracellular Matrix Represent Distinct Types of Vesicles? (2023) – Biomolecules [🔗 DOI: 10.3390/biom14010042]

Meeting abstracts of the 3° EVIta symposium (2023) – Extracellular Vesicles and Circulating Nucleic Acids [🔗 DOI: 10.20517/evcna.2023.57]

🔚 Conclusion

Dr. Saida Mebarek’s remarkable contributions to biochemistry, extracellular vesicles, and molecular research have significantly advanced scientific understanding in these fields. Her dedication to research, teaching, and mentoring continues to inspire the next generation of scientists. Through her high-impact publications and pioneering discoveries, she remains a leading figure in biomedical research, making profound contributions to human health and disease treatment. 🚀

Dr. Dawei Qiu | Smart Grid | Best Researcher Award

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Dr. Dawei Qiu | Smart Grid | Best Researcher Award

Lecturer, University of Exeter, United Kingdom

Dr. Dawei Qiu is a distinguished scholar in smart energy systems, currently serving as a Lecturer at the University of Exeter, UK 🏫. With a strong background in electrical engineering and power systems, he specializes in AI-driven reinforcement learning, market design for low-carbon energy transition, and resilience enhancement of energy systems ⚡. His extensive research contributions in smart grids and power systems have earned him recognition in academia, with a Google Scholar citation count of 2,109, an h-index of 24, and an h10-index of 35 📊.

Publication Profile

Google Scholar

🎓 Education

Dr. Qiu holds a Ph.D. in Electrical Engineering from Imperial College London (2016–2020) 🎓, where he conducted pioneering research on local flexibility’s impact on electricity retailers under the supervision of Prof. Goran Strbac. Prior to this, he completed his M.Sc. in Power System Engineering from University College London (2014–2015) and obtained his B.Eng. in Electrical and Electronic Engineering from Northumbria University at Newcastle (2010–2014) ⚙️. His academic journey has been shaped by esteemed mentors, including Dr. Ben Hanson and Dr. Zhiwei (David) Gao, IEEE Fellow.

💼 Experience

Dr. Qiu’s professional career spans academia and research institutions, where he has contributed significantly to energy systems innovation 🌍. Before joining the University of Exeter in 2024, he was a Research Fellow at Imperial College London (2023–2024), specializing in market design for low-carbon energy systems. He also served as a Research Associate at the same institution from 2020 to 2023 🔬. His work in smart grids and energy resilience has been instrumental in shaping sustainable and intelligent power infrastructure.

🏆 Awards and Honors

Dr. Qiu’s research excellence has been acknowledged through various accolades 🏅. His contributions to smart energy systems, AI-driven reinforcement learning, and low-carbon market design have positioned him as a leading researcher in the field. His studies have been published in top-tier journals, and his work has received high citations, demonstrating its impact on the global research community 🌟.

🔬 Research Focus

Dr. Qiu’s research is centered on leveraging artificial intelligence and reinforcement learning for power and energy applications 🤖. His work explores market mechanisms for cost-effective and sustainable energy transitions, as well as the resilience enhancement of energy systems in response to climate change 🌍. His expertise in AI-driven optimization and machine learning applications in energy systems makes him a key contributor to the advancement of smart grid technologies.

🔚 Conclusion

Dr. Dawei Qiu is a leading researcher in smart energy systems, with a strong academic background and impactful contributions to power systems engineering 🔬. His expertise in AI-driven market optimization, reinforcement learning, and resilient energy systems has made him a valuable asset to the research community 🌍. With his ongoing work at the University of Exeter, he continues to drive innovation in low-carbon and intelligent energy solutions ⚡.

🔗 Publications

A knowledge-based safe reinforcement learning approach for real-time automatic control in a smart energy hub – Applied Energy (Under review, 2025) 🔗 Link

Enhanced Meta Reinforcement Learning for Resilient Transient Stabilization – IEEE Transactions on Power Systems (Under review, 2025) 🔗 Link

Machine learning-based economic model predictive control for energy hubs with variable energy efficiencies – Energy (First round revision, 2024) 🔗 Link

A Review of Resilience Enhancement Measures for Hydrogen-penetrated Multi-energy Systems – Proceedings of the IEEE (Under review, 2025) 🔗 Link

Coordinated Optimal Dispatch Based on Dynamic Feasible Operation Region Aggregation – IEEE Transactions on Smart Grid (First round revision, 2024) 🔗 Link

A Sequential Multi-Agent Reinforcement Learning Method for Coordinated Reconfiguration of Substation and MV Distribution Networks – IEEE Transactions on Power Systems (Under review, 2024) 🔗 Link

Enhancing Microgrid Resilience through a Two-Layer Control Framework for Electric Vehicle Integration and Communication Load Management – IEEE Internet of Things Journal (Under review, 2024) 🔗 Link

Coordinated Electric Vehicle Control in Microgrids Towards Multi-Service Provisions: A Transformer Learning-based Risk Management Strategy – Energy (Under review, 2024) 🔗 Link

Adaptive Resilient Control Against False Data Injection Attacks for a Multi-Energy Microgrid Using Deep Reinforcement Learning – IEEE Transactions on Network Science and Engineering (Under review, 2024) 🔗 Link