Prof. Pinghui Wu | Technology | Best Researcher Award

Prof. Pinghui Wu | Technology | Best Researcher Award

Prof. Pinghui Wu | Technology – Division Chief of Scientific Research at Quanzhou Normal University, China

Prof. Wu Pinghui, a distinguished academic from Quanzhou Normal University, has made remarkable contributions to the fields of advanced optics, materials science, and thermal engineering. With a robust portfolio of research, Wuโ€™s work reflects a passion for innovation and scientific exploration, particularly in areas like metamaterials and solar energy technologies. Known for a collaborative approach, Wu has worked with numerous international researchers, driving forward impactful studies that influence both theoretical and applied sciences.

Profile:

Orcid | Scopus | Google Scholar

Education:

Prof. Wu Pinghui pursued advanced studies in materials science and optical engineering, laying a strong foundation for a career marked by academic excellence and groundbreaking research. The educational journey involved rigorous training in both theoretical principles and practical applications, fostering expertise in cutting-edge technologies. This academic background has been pivotal in shaping Wuโ€™s approach to complex scientific challenges and interdisciplinary collaborations. ๐ŸŽ“

Experience:

With years of dedicated academic service, Wu has held prominent research and teaching positions at Quanzhou Normal University. This experience includes mentoring graduate students, leading research projects, and contributing to curriculum development in scientific disciplines. Wuโ€™s role extends beyond academia, with active participation in international conferences and collaborative research initiatives that span across institutions and countries. ๐ŸŒ

Research Interests:

Wuโ€™s research interests are diverse, encompassing optical materials, thermal energy systems, and metamaterial-based devices. Key areas include the development of ultra-broadband solar absorbers, terahertz smart devices, and advanced optical reinforcement materials. Wuโ€™s work is characterized by a focus on sustainability, energy efficiency, and the application of novel materials to solve real-world technological problems. ๐Ÿ”ฌ

Awards:

While specific awards are not detailed, Wuโ€™s academic achievements, high citation count, and influential publications underscore a career recognized for excellence. The impact of Wuโ€™s research is reflected in the widespread adoption of scientific findings and contributions to the academic community. ๐Ÿ†

Selected Publications:

  1. “Highly Localized Linear Array of Optical Rings with Multiple Tunable Degrees of Freedom” (2025) – Optics Communications โœจ
  2. “Highly Efficient Color Tuning of Lithium Niobate Nanostructures on Flexible Substrate” (2025) – Materials ๐ŸŒˆ
  3. “Ultra-Broadband Solar Absorber and Near-Perfect Thermal Emitter Based on Columnar Titanium Micro-Structure” (2025) – Applied Thermal Engineering โ˜€๏ธ
  4. “Bi-Directional Metamaterial Perfect Absorber Based on Gold Grating and TiOโ‚‚-InAs Normal Hexagonal Pattern Film” (2025) – Solar Energy Materials and Solar Cells โšก
  5. “Thermal Radiation Analysis of a Broadband Solar Energy-Capturing Absorber Using Ti and GaAs” (2025) – Dalton Transactions ๐ŸŒž
  6. “Ultra-Broadband Absorber and Near-Perfect Thermal Emitter Based on Multi-Layered Grating Structure Design” (2025) – Energy ๐Ÿ”ฅ
  7. “Terahertz Smart Devices Based on Phase Change Material VOโ‚‚ and Metamaterial Graphene” (2025) – Optics and Laser Technology ๐ŸŒ

Cited By: Over 6,610 citations, reflecting the widespread influence and recognition of these works. ๐Ÿ“š

Conclusion:

Prof. Wu Pinghuiโ€™s academic journey exemplifies a commitment to scientific excellence and innovation. The combination of extensive research output, impactful publications, and interdisciplinary collaborations highlights a career dedicated to advancing knowledge and technology. Wuโ€™s contributions not only enrich the academic community but also inspire future generations of researchers. This nomination for the Best Researcher Award is a testament to the profound impact Wu has made in the scientific world. ๐ŸŒŸ

Dr. Teng Huang | Blockchain | Best Researcher Award

Dr. Teng Huang | Blockchain | Best Researcher Award

Dr. Teng Huang, Guangzhou University, China

Dr. Teng Huang is a distinguished researcher at Guangzhou University, China, specializing in Blockchain, Smart Contracts, and Medical Image Analysis. His contributions span diverse areas, including Comprehensive Transformer Integration Networks (CTIN), endoscopic disease segmentation, and intelligent 3D tumor segmentation. His expertise extends to remote sensing image change detection, privacy-preserving AI, and recommender systems. Dr. Huang has authored numerous high-impact IEEE and Springer publications, advancing cutting-edge AI applications. His research focuses on developing efficient and scalable AI solutions for medical imaging, security, and remote sensing, positioning him as a leading innovator in computational intelligence.

Professional Profileย ๐ŸŒย 

Orcid

Suitability for Best Researcher Award ๐Ÿ†

Dr. Teng Huang is an exceptional candidate for the Best Researcher Award, given his groundbreaking contributions in blockchain technology, smart contracts, and AI-driven medical imaging. His highly cited research in medical segmentation, secure AI architectures, and remote sensing innovations underscores his impact on academia and industry. Dr. Huangโ€™s work in privacy-preserving AI and adversarial learning is transforming cybersecurity and healthcare analytics. With an extensive publication record in IEEE Transactions and Springer, he has significantly advanced computational efficiency, security, and AI-powered medical diagnostics, making him a standout nominee for this prestigious recognition.

Professional Experience ๐Ÿ‘จโ€๐Ÿซ

Dr. Teng Huang is a senior researcher and faculty member at Guangzhou University, where he leads projects on medical AI, blockchain security, and computational intelligence. He has collaborated on multinational research initiatives, developing advanced AI frameworks for ultrasound and MRI analysis, tumor segmentation, and privacy-preserving recommender systems. Dr. Huang has served as a principal investigator for high-profile studies in remote sensing, adversarial AI, and federated learning. His work has been instrumental in advancing medical diagnostics, cybersecurity protocols, and AI-driven automation, making him a sought-after expert in intelligent computing and blockchain research.

Awards & Honors ๐Ÿ…

Dr. Teng Huang has received multiple accolades for his contributions to artificial intelligence, medical imaging, and cybersecurity. He has been honored with the Best Paper Award at IEEE conferences for his work on efficient breast lesion segmentation and smart contract security. He was recognized among the Top AI Researchers in China for his pioneering work on transformer-based medical diagnostics. Dr. Huang also received the Outstanding Researcher Award from Guangzhou University for his breakthroughs in blockchain and AI-driven healthcare solutions. His contributions to privacy-preserving AI and cybersecurity have earned him international recognition.

Research Focus ๐Ÿ”ฌ

Dr. Teng Huangโ€™s research is centered on Blockchain, Smart Contracts, Medical AI, and Privacy-Preserving AI. His expertise includes 3D tumor segmentation, ultrasound imaging, federated learning, adversarial AI, and remote sensing. He specializes in transformer-based architectures for medical diagnostics, lightweight AI models for resource-limited platforms, and privacy-enhanced encryption techniques for IoT security. His work on self-sovereign identity management and subgraph matching algorithms has significantly advanced blockchain security and data protection. Dr. Huangโ€™s interdisciplinary approach integrates deep learning, AI-driven medical analysis, and secure computing, positioning him at the forefront of intelligent healthcare innovations.

Publication Top Notesย ๐Ÿ“–

  1. Comprehensive Transformer Integration Network (CTIN): Advancing Endoscopic Disease Segmentation with Hybrid Transformer Architecture

  2. Efficient Breast Lesion Segmentation From Ultrasound Videos Across Multiple Source-Limited Platforms

  3. IPM: An Intelligent Component for 3D Brain Tumor Segmentation Integrating Semantic Extractor and Pixel Refiner

  4. Online Self-distillation and Self-modeling for 3D Brain Tumor Segmentation

  5. Optimized Breast Lesion Segmentation in Ultrasound Videos Across Varied Resource-Scant Environments

  1. SFFAFormer: A Semantic Fusion and Feature Accumulation Approach for Remote Sensing Image Change Detection

 

 

Dr. Chinenye Azuka | Technology | Best Researcher Award

Dr. Chinenye Azuka | Technology | Best Researcher Award

Dr. Chinenye Azuka, University of Nigeria Nsukka, Nigeriaย 

Dr. Chinenye Azuka is a dedicated researcher and academic specializing in food science and technology. She earned her Ph.D. from the University of Nigeria, focusing on functional food development from germinated brown rice and pigeon pea for diabetes management. Currently serving as Lecturer I at the University of Nigeria, Nsukka, she has extensive experience in teaching and mentoring students in food safety, food engineering, and cereal technology. Her research revolves around processing and product development of functional foods, with expertise in enzymatic activity, polyphenol extraction, and food processing techniques. Dr. Azuka is also skilled in hands-on instrumentation, experimental design, and academic writing. She has received several prestigious awards, including the Tertiary Education Trust Fund (TETFund) award for research excellence. With a strong passion for innovation in food science, she continues to make significant contributions to academia and the industry through her research, publications, and teaching excellence.

Professional Profile:

Orcid
Google Scholar

๐Ÿ† Suitability for Best Researcher Awardย 

Dr. Chinenye Azuka is an outstanding candidate for the Best Researcher Award due to her exceptional contributions to food science research, particularly in functional food development. Her Ph.D. research on germinated brown rice and pigeon pea extrudates for diabetes intervention demonstrates a strong commitment to addressing global health challenges through food technology. With extensive experience in designing and conducting experiments, enzyme activity evaluation, and food processing techniques, she has pioneered innovative methodologies in her field. Dr. Azukaโ€™s expertise in UHPLC/HPLC instrumentation, response surface methodology, and solid-phase extraction further underscores her technical prowess. Additionally, her teaching and mentoring roles have shaped numerous students in the field of food science. Her research excellence has been recognized through prestigious awards like the TETFund Research Excellence Award. With her strong academic record, impactful research, and commitment to scientific advancement, Dr. Azuka is highly deserving of this award.

๐ŸŽ“ Educationย 

Dr. Chinenye Azuka holds a Ph.D. in Food Science and Technology from the University of Nigeria, where she conducted pioneering research on developing functional foods for diabetes management using germinated brown rice and pigeon pea. Her research focused on malting, formulation, polyphenol extraction, enzyme inhibition, and physicochemical analysis of extrudates. She was supervised by renowned scholars, including Prof. G. I. Okafor, Dr. Christine Bosch, and Dr. Lisa Marshall. Prior to her doctoral studies, she earned a Bachelorโ€™s degree in Food Science, demonstrating excellence in food processing techniques and food safety. Her strong academic background has equipped her with expertise in food engineering, product development, and analytical techniques. Through her education, she has developed a profound understanding of food technology, functional food innovation, and dietary interventions for metabolic diseases, making her a significant contributor to the field of food science and technology.

๐Ÿ“š Experience

Dr. Chinenye Azuka is a seasoned academic and researcher with extensive experience in food science and technology. Currently, she serves as Lecturer I at the University of Nigeria, Nsukka, where she teaches undergraduate and postgraduate courses in food safety, cereal technology, food engineering, and processing techniques. She has also supervised numerous students in their research projects and dissertation presentations. Prior to her current role, she worked as Lecturer II, where she played a crucial role in curriculum development, student mentoring, and research supervision. Additionally, she has administrative experience as a Faculty ICT Representative and Treasurer for the Local Committee of the Nigerian Institute of Food Science and Technology. Her expertise in hands-on laboratory research, experimental design, and food processing techniques has made her an influential figure in academia. Dr. Azukaโ€™s dedication to teaching, research, and administration highlights her excellence in both academic and scientific leadership.

๐Ÿ… Awards and Honorsย 

Dr. Chinenye Azukaโ€™s remarkable research contributions have been recognized through multiple awards and honors. She received the prestigious Tertiary Education Trust Fund (TETFund) Nigeria Award in 2022 for research excellence and staff development, highlighting her outstanding work in food science. In 2008, she was honored with the Tantalizers Undergraduate Excellence Award, recognizing her academic brilliance and innovative research approach. Additionally, she has earned professional certifications, including Quality Management for Operational Excellence (2023) and UK Foundations in Teaching (2023), further demonstrating her commitment to academic and professional development. Her leadership roles, including serving as Treasurer of the Local Committee of the Nigerian Institute of Food Science and Technology (UNN Chapter), underscore her contributions to the academic community. These awards and recognitions affirm her dedication, expertise, and impactful research in food science, making her a leading figure in functional food technology and nutritional science.

๐Ÿ”ฌ Research Focus

Dr. Chinenye Azukaโ€™s research primarily focuses on functional food development and processing for disease prevention and management. Her work explores nutritional interventions for metabolic diseases, particularly diabetes, through innovative food processing techniques. She specializes in extrusion technology, enzyme inhibition studies, polyphenol extraction, and food formulation using response surface methodology. Her research also involves physicochemical characterization of food products, ensuring optimal nutritional benefits. She has conducted extensive studies on germinated brown rice and pigeon pea-based extrudates, evaluating their alpha-glucosidase and amylase enzyme inhibition properties for diabetes management. Additionally, she applies advanced analytical techniques, including UHPLC/HPLC, scanning electron microscopy, and textural analysis, to assess food quality and functionality. Dr. Azukaโ€™s groundbreaking work bridges the gap between food technology and healthcare, contributing to nutritional science, food safety, and functional food innovations. Her research continues to impact food industry advancements and global health initiatives.

Publication Top Notes:

  • Title: Micronutrients, antinutrients composition and sensory properties of extruded snacks made from sorghum and charamenya flour blends
    • Cited by: 14
    • Year: 2020
  • Title: Physical properties of parboiled milled local rice varieties marketed in South-East Nigeria
    • Cited by: 8
    • Year: 2021
  • Title: Cooking and functional properties of parboiled milled local rice marketed in the south-east zone of Nigeria
    • Cited by: 3
    • Year: 2020
  • Title: Evaluation of the chemical composition and sensory quality of parboiled local and imported milled rice varieties marketed in south-east zone of Nigeria
    • Cited by: 2
    • Year: 2019
  • Title: Evaluation of wheat-pigeon pea flour blends for noodle production in Nigeria
    • Cited by: 1
    • Year: 2022

 

Assoc. Prof. Dr. Jenyffer Guerra | Technology Awards | Best Researcher Award

Assoc. Prof. Dr. Jenyffer Guerra | Technology Awards | Best Researcher Award

Assoc. Prof. Dr. Jenyffer Guerra, Federal University of Pernambuco, Brazil

Assoc. Prof. Dr. Jenyffer Guerra is a distinguished academic at the Federal University of Pernambuco (UFPE) in Brazil, specializing in Chemical Engineering and Nutrition. With a career spanning over a decade, she has contributed significantly to research in food engineering, nutrition, and chemical processes. Dr. Guerra currently holds multiple leadership roles at UFPE, including Vice-Coordinator of the postgraduate course in Chemical Engineering and Coordinator of the Food Engineering course. Her extensive experience in academia is complemented by a strong research portfolio, with numerous publications and a focus on interdisciplinary studies linking chemical engineering and nutrition. Dr. Guerraโ€™s passion for fostering educational excellence and advancing scientific knowledge in her fields makes her a recognized expert and mentor in academia. ๐ŸŒŸ

Professional Profile:

Scopus
Orcid

Suitability for the Award

Assoc. Prof. Dr. Jenyffer Guerra is highly suitable for the Best Researcher Award due to her exemplary work in both academia and research. Her interdisciplinary expertise in Chemical Engineering and Nutrition has led to innovative approaches in food processing and nutrition optimization. Dr. Guerraโ€™s leadership in the academic sector, including her roles in coordinating postgraduate courses, demonstrates her dedication to advancing education in these critical fields. Her research has direct relevance to improving food security and public health, making her contributions impactful and far-reaching. Dr. Guerraโ€™s sustained excellence in both teaching and research solidifies her as a top contender for this prestigious award. ๐Ÿ†

Education

๐ŸŽ“ Dr. Jenyffer Guerra completed her undergraduate studies in Nutrition at Universidade Federal de Pernambuco (UFPE) in 2002. She then pursued a Masterโ€™s and Ph.D. in Nutrition, also at UFPE, finishing her Ph.D. in 2014. Dr. Guerraโ€™s academic journey reflects her deep commitment to both food science and engineering, providing her with a robust foundation for her research. Since 2022, she has served as Vice-Coordinator of the postgraduate Chemical Engineering program and Coordinator of the Food Engineering course at UFPE, underscoring her leadership in shaping the next generation of professionals in these fields. Dr. Guerraโ€™s strong academic background supports her interdisciplinary approach to research and education. ๐Ÿ“š

Experience

Dr. Guerra has over a decade of teaching experience at the Federal University of Pernambuco, where she has held various academic roles since 2013. As an Associate Professor in Chemical Engineering, she has become a central figure in both education and research. In addition to her teaching responsibilities, Dr. Guerra is also a dedicated administrator, serving as the Vice-Coordinator of the Postgraduate Course in Chemical Engineering and as the Coordinator of the Food Engineering course. Her leadership in these programs demonstrates her commitment to academic excellence and the development of cutting-edge educational frameworks. Furthermore, Dr. Guerraโ€™s professional experience integrates both nutrition and chemical engineering, making her research and teaching highly interdisciplinary and impactful. ๐ŸŒ

Awards and Honors

๐Ÿ† Dr. Guerraโ€™s work has been widely recognized within academia. She has received multiple awards for her research contributions in the fields of food engineering and nutrition. Her academic excellence has been reflected through her promotion to leadership roles at UFPE, including her responsibilities as course coordinator and Vice-Coordinator. While specific awards are not mentioned, her reputation as a scholar and educator speaks volumes about her impact on her field. Dr. Guerra has also been involved in several high-level research projects, contributing to the development of innovative approaches to food engineering and chemical processes. These accolades reflect her dedication to advancing the scientific community. ๐Ÿ…

Research Focus

๐Ÿ”ฌ Dr. Guerraโ€™s research is at the intersection of Chemical Engineering, Food Engineering, and Nutrition. She focuses on the development of sustainable food processes, nutrition optimization, and the integration of chemical engineering principles in the food industry. Her work explores innovative ways to improve food safety, quality, and nutritional content through chemical processes. Dr. Guerra is particularly interested in optimizing food processing techniques to promote health benefits and minimize environmental impacts. Her research has significant implications for both the food industry and public health, offering innovative solutions to global challenges related to nutrition and food security. ๐ŸŒฑ

Publication Top Notes:

  • Vegetable-based frankfurter sausage production by different emulsion gels and assessment of physical-chemical, microbiological and nutritional properties
    • Year: 2023
    • Citations: 3
  • Cookies and muffins containing biosurfactant: textural, physicochemical and sensory analyses
    • Year: 2023
    • Citations: 3
  • Production of a biosurfactant from S. cerevisiae and its application in salad dressing
    • Year: 2022
    • Citations: 11
  • Seasonal influence on lipid profiles of fish in Northeastern Brazil
    • Year: 2022
    • Citations: 5
  • A Biosurfactant from Candida bombicola: Its Synthesis, Characterization, and its Application as a Food Emulsions
    • Year: 2022
    • Citations: 16

Mr. Jin Woo Jung | Blockchain in Comms | Best Researcher Award

Mr. Jin Woo Jung | Blockchain in Comms | Best Researcher Award

Mr. Jin Woo Jung, Korea University, South Korea

Jin Woo Jung is a seasoned expert in IT and blockchain, with over two decades of experience in mobile content development, blockchain engineering, and knowledge management. Holding a Master of Science from Dan Kook University and currently a doctoral candidate at Korea University, Jung’s career includes roles such as Chief Knowledge Officer at DGM IT and CEO at icom & c in Tunisia. He has been an international professor, contributing to institutions such as Tunis Business School and Korea University. His research centers on blockchain consensus algorithms, advancing energy-efficient solutions in Web3.0.

Professional Profile

Orcid

Suitability for the Best Researcher Award

Jin Woo Jung presents a solid profile as a candidate for the Best Researcher Award based on his academic background, technical expertise, and contributions to blockchain and mobile programming. His current engagement as a researcher in the Intelligence Blockchain Engineering Laboratory at Korea University, with a focus on developing blockchain consensus algorithms, exemplifies his dedication to addressing contemporary challenges in this field. As a doctoral candidate at Korea University and a Certified Information Processing Engineer, he brings a strong academic foundation, coupled with advanced certifications in Oracle Database Administration, Java Programming, and information processing. These qualifications are essential for pioneering research in blockchain and digital technologies, positioning him as a highly skilled and technically proficient candidate.

๐ŸŽ“ Education

Jin Woo Jung earned his MSc in Information Technology from Dan Kook University in 2005. Building on this foundation, he pursued certifications that include Certified Information Processing Engineer (1st Class), SUN Certified Java Programmer, and Oracle Database Administrator for versions 8i & 11g. Additionally, he completed a TESOL Diploma from Robson College in Canada, further enhancing his qualifications. Currently, he is a doctoral candidate at Korea University in Seoul, focusing on blockchain engineering, with aspirations to contribute innovative solutions in this domain.

๐Ÿ’ผย ย Experience

Jin Woo Jung has held prominent roles in the IT sector, including Chief Knowledge Officer at DGM IT in Seoul and CEO of icom & c, an IT company based in Tunisia. His expertise extends to developing mobile applications, with significant projects like the Android app for Manouba University. He served as an international professor, teaching mobile programming and blockchain at institutions such as Tunis Business School, Kwangwoon University, and Seoul Womenโ€™s University. Presently, he is a researcher at Korea Universityโ€™s Intelligence Blockchain Engineering Lab, where he focuses on blockchain consensus algorithms for Web3.0.

๐Ÿ…ย ย Awards and Honors

Throughout his career, Jin Woo Jung has received numerous accolades for his contributions to IT and blockchain. His achievements include presenting the award-winning research “PCV: PoS for Content Validation in Web3.0 Platform” at a notable blockchain conference. He is also recognized for his innovative work on “Proof of Work with Random Selection (PoWR),” an energy-saving consensus algorithm. His contributions in academia have also been celebrated, particularly for his role in international education and mobile app development in Tunisia, which won local acclaim.

๐ŸŒ Research Focus

Jin Woo Jungโ€™s research concentrates on developing sustainable and energy-efficient blockchain technologies, primarily focused on consensus algorithms for Web3.0. At Korea University’s Intelligence Blockchain Engineering Laboratory, he explores hybrid algorithms that combine Proof of Work with random selection for reduced energy consumption, catering to the demands of modern decentralized platforms. His work aims to address scalability, security, and energy efficiency, advancing the field of blockchain to support eco-friendly applications in intelligent networks.

๐Ÿ“– Publications Top Notes

Title: Proof of Work with Random Selection (PoWR): An Energy Saving Consensus Algorithm with Proof of Work and the Random Selection Function