Mr. JeongHun Woo | Network Services | Excellence in Research

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Mr. JeongHun Woo | Network Services | Excellence in Research

Mr. JeongHun Woo, Changwon National University, South Korea

Mr. JeongHun Woo is a dedicated researcher specializing in Network Services, Wireless Networks, and Streaming Optimization. He completed his education at Changwon National University, South Korea, and has been actively involved in cutting-edge research projects, particularly in AI-based optimization and predictive analytics. His work on Yard Image AI Recognition for logistics optimization resulted in a technology patent, showcasing his innovative contributions to industrial applications. Additionally, his 2023 first-author publication on adaptive bitrate algorithms and bandwidth prediction has significantly enhanced video streaming quality. His ongoing research on CNC tool replacement cycle prediction highlights his expertise in applying machine learning to industrial automation. With a strong foundation in AI-driven network optimizations and industrial predictive modeling, Mr. Woo continues to push technological boundaries, contributing valuable insights to academia and industry. His research excellence makes him a key player in advancing intelligent network systems. 📡📶🔬

🌏 Professional Profile

Google Scholar

🏆 Suitability for Award 

Mr. JeongHun Woo’s outstanding contributions to network optimization, AI-driven prediction models, and wireless communication technologies make him a strong candidate for the Excellence in Research Award. His groundbreaking work in adaptive video streaming algorithms has significantly improved the Quality of Experience (QoE) in streaming services, addressing critical issues in network bandwidth prediction. His Smart Yard AI project, which optimizes industrial logistics through image recognition, showcases his ability to bridge academic research with real-world applications. The issuance of a technology patent from his research further validates the impact of his work. His ongoing research on predictive maintenance for CNC machine tools highlights his versatility in applying AI-driven methodologies to industrial automation and smart manufacturing. His ability to produce innovative, high-impact research across wireless networks, AI, and predictive analytics sets him apart as a leading researcher in his field. 🏆📡📊

🎓 Education 

Mr. JeongHun Woo pursued his education at Changwon National University, South Korea, where he developed a strong foundation in Network Services, Wireless Communication, and AI-Driven Optimization. His academic journey equipped him with expertise in machine learning applications, network bandwidth prediction, and industrial AI integration. Throughout his education, he focused on research-driven problem-solving, contributing to the development of streaming optimization algorithms and predictive analytics for industrial automation. His exposure to AI-powered logistics and wireless technologies has positioned him as an emerging expert in intelligent network solutions. His academic background not only fueled his passion for research but also enabled him to lead innovative projects such as AI-based yard logistics optimization and CNC machine tool lifecycle prediction. With a strong interdisciplinary approach, his education has played a crucial role in shaping his research excellence and industry-driven solutions. 🎓📚🔍

👨‍🔬 Experience

Mr. JeongHun Woo has been deeply engaged in research projects that integrate AI, wireless communication, and industrial automation. He played a key role in the Smart Yard Industry-Academic Cooperation Project (2022), where he developed an AI-based image recognition system to optimize logistics and process flow in industrial yards. This work led to the successful issuance of a technology patent, reinforcing his contributions to real-world AI applications.

In 2023, he authored a research paper focusing on adaptive bitrate algorithms and bandwidth prediction for enhanced video streaming experiences. His work in network bandwidth prediction using gated recurrent unit models demonstrated his expertise in machine learning-driven optimizations. Currently, he is working on predicting CNC machine tool replacement cycles, leveraging AI for predictive maintenance in smart manufacturing. His diverse experience across network systems, industrial AI applications, and streaming optimizations showcases his strong research acumen and technological impact. 🏭📡🤖

🏆 Awards and Honors 

Mr. JeongHun Woo has been recognized for his pioneering research in wireless networks, AI-driven optimization, and industrial analytics. His Smart Yard AI Recognition project led to the issuance of a technology patent, highlighting the innovative real-world impact of his research. His 2023 first-author publication on adaptive bitrate streaming and bandwidth prediction has been widely acknowledged in the field of wireless networks and multimedia communication.

He has been actively involved in industry-academic collaborative projects, leading groundbreaking research that merges AI with industrial automation. His contributions to predictive analytics for CNC machine tool maintenance have positioned him at the forefront of smart manufacturing and AI-driven optimization. Through his patented technology, high-impact publications, and ongoing research in predictive maintenance, Mr. Woo has demonstrated exceptional excellence in research, making him a deserving candidate for the Research for Excellence in Research Award. 🏆📜🚀

🔬 Research Focus 

Mr. JeongHun Woo’s research revolves around Network Services, Wireless Networks, Streaming Optimization, and AI-driven Industrial Automation. His work is at the intersection of machine learning, predictive analytics, and real-world network applications.

His key research areas include:

✅ Streaming Optimization: Developing buffer-based adaptive bitrate algorithms to improve the Quality of Experience (QoE) for video streaming.
✅ AI for Industrial Automation: Leading AI-driven logistics optimization through yard image recognition and predictive maintenance in smart manufacturing.
✅ Wireless Networks & Bandwidth Prediction: Utilizing deep learning (Gated Recurrent Unit models) for accurate network bandwidth forecasting.
✅ Predictive Maintenance: Researching CNC machine tool lifecycle prediction to enhance manufacturing efficiency and reduce downtime.

His interdisciplinary approach combining network optimizations, AI, and industrial analytics makes him a key contributor to next-generation intelligent systems. 🌍📶📊

📚 Publication Top Notes:

Title: Improving the Quality of Experience of Video Streaming Through a Buffer-Based Adaptive Bitrate Algorithm and Gated Recurrent Unit-Based Network Bandwidth Prediction
Published Year: 2024

 

 

Prof. Weijun Hu | Network Virtualization | Best Researcher Award

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Prof. Weijun Hu | Network Virtualization | Best Researcher Award

Prof. Weijun Hu | Jilin University | China

Dr. Hu Weijun 🎓 is a Professor and Doctoral Supervisor at Jilin University’s College of Archaeology 🏛️. With a PhD in Art 🎨 and a Postdoctoral Fellowship in Chinese Language and Literature 📚, he excels in brand strategy, museum exhibition design 🖼️, cultural product design 🎁, and intangible cultural heritage protection 🌏. A former visiting scholar to the U.S. 🌍, he has led over 20 research projects 📊 and published 60+ academic papers 📄 and 14 books 📖. As an Adobe Certified Creative Designer 💻, he’s received prestigious awards 🏆 like “China Design 40 Years Emerging Designer.”

Professional Profile:

ORCID

Suitability for the Best Researcher Award

Dr. Hu Weijun is a highly accomplished academic and researcher whose multidisciplinary expertise spans archaeology, art, cultural heritage, and design. His diverse academic background, combined with practical achievements, demonstrates his ability to bridge traditional cultural studies with modern applications. His leadership in over 20 research projects and authorship of more than 60 academic papers and 14 books reflect his strong research productivity and contribution to knowledge

Education & Experience 

  • 🎓 PhD in Art – Advanced expertise in creative disciplines
  • 📚 Postdoctoral Fellowship in Chinese Language & Literature – Specialized research focus
  • 🌍 Visiting Scholar in the United States – International academic exposure
  • 👨‍🏫 Professor & Doctoral Supervisor – Department of Cultural Heritage, Jilin University
  • 🏛️ College of Archaeology, Jilin University – Leading academic institution

Professional Development 

Dr. Hu Weijun’s professional journey is marked by diverse achievements 🌟. He has led 20+ major research projects 📊, including those funded by the National Social Science Foundation of China 🇨🇳 and the China Postdoctoral Science Foundation 📑. His work spans brand strategy 💼, museum exhibition design 🏺, cultural product development 🎨, and social innovation design 🤝. As an Adobe Certified Creative Designer 💻, he bridges academia and creative industries, influencing both sectors. His designs have been featured in exhibitions 🎭 like the China Youth Design Art Biennale and documented in top publications 📚.

Research Focus 

Dr. Hu Weijun’s research focuses on cultural heritage protection 🌏, blending traditional values with modern design thinking 🎨. His work includes brand strategy development 💼, museum exhibition design 🏛️, and innovative cultural product creation 🎁. He emphasizes social innovation design 🤝 to address contemporary challenges through cultural narratives. Additionally, he’s dedicated to safeguarding intangible cultural heritage 🌐, ensuring cultural continuity in a globalized world 🌍. His interdisciplinary approach connects history, art, and technology, fostering creative solutions for cultural preservation 📖.

Awards & Honors 

  • 🏆 “China Design 40 Years Emerging Designer” Award – Recognizing innovative design excellence
  • 🖼️ Featured in China Youth Design Art Biennale – Celebrating artistic achievements
  • 📚 Published in China Design Yearbook – Highlighting influential design contributions
  • 💻 Adobe Certified Creative Designer – Credentialed for advanced creative skills
  • 🏅 Leader of 20+ National Research Projects – Recognized for academic excellence

Publication Top Notes:

  • 📚 Authentic Leadership: Bridging the Gap Between Perception of Organizational Politics and Employee Attitudes in Public Sector Museums – Humanities and Social Sciences Communications
  • 📡 Beyond Bookshelves: How 5/6G Technology Will Reshape Libraries – Technology in Society
  • 🏛️ Intangible Cultural Heritage Research in China: From the Perspective of Intellectual Property Rights – Humanities and Social Sciences Communications
  • 🏢 Impact of Perceived Supervisor Support: On Employees’ Intention to Leave in Public Sector Museums – Frontiers in Psychology
  • 🧠 Intelligent Software-Driven Immersive Environment: For Online Political Guiding via Brain-Computer Interface – Automated Software Engineering
  • 🌍 Causal Effects of Imports & FDI: On Indigenous Innovation in Developing Countries – International Journal of Emerging Markets

 

 

 

Dr. Ugur Koklu | Network Machining | Best Researcher Award

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Dr. Ugur Koklu | Network Machining | Best Researcher Award

Dr. Ugur Koklu, Karamanoglu Mehmetbey University, Turkey

Prof. Dr. Ugur Koklu is a distinguished academic in the field of mechanical engineering, currently serving as a professor at Karamanoğlu Mehmetbey University in Turkey. He earned his Ph.D. in machining from Marmara University and holds both an M.Sc. and B.Sc. in Mechanical Engineering from Dumlupinar University. With over 60 publications in peer-reviewed journals and conference proceedings, Prof. Koklu has made significant contributions to the field of machining, particularly in conventional machining of metals and composite materials. His research is recognized for its practical applications in advanced manufacturing, with a focus on solving real-world industrial challenges. He is also an active reviewer for renowned international publishers, including Elsevier, Springer, and SAGE. Prof. Koklu’s work bridges the gap between academia and industry, enhancing the understanding and application of machining processes in modern manufacturing systems. 🛠️📚🔬

Professional Profile

Scopus
Orcid
Google Scholar

Suitability for Award

Prof. Dr. Ugur Koklu is highly deserving of the Research for Best Researcher Award due to his significant contributions to the field of mechanical engineering and advanced manufacturing. His expertise in machining, particularly the conventional machining of metals and composites, has led to over 60 publications in esteemed journals and conferences. Prof. Koklu’s research has provided cutting-edge solutions to real-world problems in manufacturing, demonstrating his ability to bridge the gap between academia and industry. His role as a reviewer for top international publishers further underscores his influence in the field. His ongoing commitment to advancing machining technologies, coupled with his academic leadership, positions him as a leading researcher. Prof. Koklu’s work continues to shape the future of manufacturing, making him a prime candidate for this prestigious award. 🏆🔧🌍

Education 

Prof. Dr. Ugur Koklu has a solid educational foundation in mechanical engineering. He obtained his Ph.D. in machining from Marmara University in Istanbul, Turkey, in 2010, where his research focused on advancing machining techniques. Prior to that, he earned an M.Sc. in Mechanical Engineering from Dumlupinar University in 2005, specializing in manufacturing processes. Prof. Koklu completed his B.Sc. in Mechanical Engineering at Dumlupinar University in 2001. His academic journey has equipped him with a deep understanding of mechanical engineering principles, particularly in machining and manufacturing technologies. This strong educational background has served as the cornerstone for his groundbreaking research and contributions to the field of advanced manufacturing. 📚🎓🛠️

Experience

Prof. Dr. Ugur Koklu currently holds the position of Professor in the Department of Mechanical Engineering at Karamanoğlu Mehmetbey University in Karaman, Turkey, a role he has held since 2019. Throughout his career, Prof. Koklu has worked in close collaboration with industry experts, focusing on the practical application of advanced manufacturing techniques to address real-world challenges. His research primarily involves conventional machining of metals and composite materials using experimental techniques. Prof. Koklu has also contributed to the academic community as a regular reviewer for leading international publishers such as Elsevier, Springer, and SAGE. His extensive experience in both academia and industry enables him to offer valuable insights into the future of machining and manufacturing. Prof. Koklu’s leadership and expertise have earned him a respected position in the field of mechanical engineering, where he continues to contribute to the advancement of manufacturing technologies. 🏫🔬🤝

Awards and Honors 

Prof. Dr. Ugur Koklu’s career has been marked by numerous accolades recognizing his contributions to mechanical engineering and manufacturing. His research has been published extensively in top-tier journals, and his work has earned him widespread recognition within the academic community. Prof. Koklu has been honored with various awards for his outstanding contributions to machining and manufacturing research, further establishing his reputation as a leader in the field. He has also been recognized for his role as a reviewer for prestigious international publishers, including Elsevier, Springer, and SAGE, a testament to his expertise and influence in the academic community. Prof. Koklu’s achievements reflect his dedication to advancing machining technologies and his commitment to bridging the gap between academic research and industrial application. His work continues to inspire the next generation of researchers and engineers in the field of mechanical engineering. 🏅🎖️🌟

Research Focus 

Prof. Dr. Ugur Koklu’s research focuses on network machining, manufacturing processes, metal cutting, drilling, and composites. He is particularly interested in the conventional machining of metals and composite materials, employing experimental techniques to enhance manufacturing efficiency and precision. His work aims to improve the understanding and application of machining technologies in industrial settings, addressing the challenges of modern manufacturing systems. Prof. Koklu’s research also explores innovative methods for optimizing machining processes, with a focus on improving quality, productivity, and sustainability in manufacturing. His contributions to the field have provided valuable insights into the practical applications of machining techniques in industries ranging from aerospace to automotive. Through his research, Prof. Koklu continues to drive advancements in machining technology, contributing to the development of more efficient and effective manufacturing processes. 🛠️🔩📊

Publication Top Notes

  • Title: Cryogenic Machining of Carbon Fiber Reinforced Plastic (CFRP) Composites and the Effects of Cryogenic Treatment on Tensile Properties: A Comparative Study
    • Cited by: 206
    • Year: 2018
  • Title: An Experimental Study on the Effects of Various Drill Types on Drilling Performance of GFRP Composite Pipes and Damage Formation
    • Cited by: 124
    • Year: 2019
  • Title: The Effects of Stacking Sequence on Drilling Machinability of Filament Wound Hybrid Composite Pipes: Part-1 Mechanical Characterization and Drilling Tests
    • Cited by: 112
    • Year: 2020
  • Title: Influence of Molding Conditions on the Shrinkage and Roundness of Injection Molded Parts
    • Cited by: 98
    • Year: 2010
  • Title: The Effects of Stacking Sequence on Drilling Machinability of Filament Wound Hybrid Composite Pipes: Part-2 Damage Analysis and Surface Quality
    • Cited by: 96
    • Year: 2020

 

Dr. Shidong Han | Network Optimizations | Best Researcher Award

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Dr. Shidong Han | Network Optimizations | Best Researcher Award

Dr. Shidong Han, Nanjing University of Aeronautics and Astronautics, China

Dr. Shidong Han is a dedicated researcher in navigation, guidance, and control systems. Born in Jiangsu Province, China, in 1990, he has pursued a career that combines academic rigor with practical innovation. He is currently a Ph.D. candidate at Nanjing University of Aeronautics and Astronautics, where his work focuses on inertial navigation and multi-agent cooperative navigation. With a strong foundation in control engineering, Dr. Han has contributed to advancing navigation technologies through his research, supported by the National Natural Science Foundation of China. His commitment to excellence and innovation positions him as a rising star in his field.

Professional Profile

Orcid

Suitability for the Best Researcher Award

Dr. Shidong Han is a strong candidate for the Best Researcher Award due to his groundbreaking work in navigation systems. His research on inertial and multi-agent cooperative navigation demonstrates both innovation and practical relevance. With support from the National Natural Science Foundation of China, Dr. Han has contributed significantly to advancing navigation technologies, making him a valuable asset to the scientific community. His dedication, academic achievements, and impactful research outputs exemplify the qualities of an outstanding researcher deserving of this recognition.

Education

Dr. Han earned his Master’s Degree in Control Engineering from Nanjing Tech University in 2016, where he developed a solid foundation in automation and control systems. He is currently pursuing a Ph.D. in Navigation, Guidance, and Control at Nanjing University of Aeronautics and Astronautics. His academic journey reflects a consistent focus on cutting-edge research in navigation technologies, with particular attention to inertial and cooperative navigation systems. His educational achievements are complemented by active involvement in projects funded by prestigious grants, showcasing his dedication to advancing the field.

Experience

Dr. Han has been affiliated with Nanjing University of Aeronautics and Astronautics since 2016, first as a Master’s student and now as a Ph.D. candidate. His professional experience includes extensive research in inertial navigation systems and multi-agent cooperative navigation. Supported by the National Natural Science Foundation of China, he has worked on optimizing networked navigation systems, contributing significantly to the advancement of autonomous and cooperative technologies. His hands-on approach to research ensures practical applicability and innovation in his work.

Awards and Honors

Dr. Han’s research excellence has been recognized through funding from the National Natural Science Foundation of China, a testament to his impactful contributions to navigation technologies. His work on network optimizations and multi-agent cooperative navigation has earned him accolades in the academic community. As a rising researcher in his field, Dr. Han has demonstrated the potential to drive transformative advancements in navigation systems.

Research Focus

Dr. Han’s research is centered on inertial navigation and multi-agent cooperative navigation. He explores the optimization of networked systems to enhance the precision and reliability of navigation technologies. His work addresses critical challenges in autonomous systems, focusing on the integration of inertial sensors and cooperative strategies to achieve robust and efficient navigation solutions. Supported by prestigious funding, his research aims to revolutionize navigation systems for aerospace and other advanced applications.

Publication Top Notes

Title: An Adaptive Cooperative Localization Method for Heterogeneous Air-to-Ground Robots Based on Relative Distance Constraints in Satellite Denial Environment
  • Journal: Sensors
  • Publication Date: 2024-08-13

 

 

 

Dr. Lin Li | AI in Networking | Best Researcher Award

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Dr. Lin Li | AI in Networking | Best Researcher Award

Dr. Lin Li, upm, Malaysia

Lin Li, born in Wuhan, China, is an accomplished academic and researcher specializing in the convergence of Artificial Intelligence and Public Art, with a focus on intelligent interaction and restorative therapeutic perspectives. She earned her Ph.D. in Landscape Architecture from Universiti Putra Malaysia and her Master’s in Design Studies from Hubei University of Technology. Lin Li serves as a Lecturer at the Wuhan Institute of Design and Sciences, where she has been dedicated to enhancing the design curriculum and mentoring students since 2008. Her work emphasizes the therapeutic potential of public art, blending technology with traditional design to create interactive experiences that positively impact public spaces. Lin Li’s expertise spans advertising creativity, corporate branding, and digital marketing, contributing significantly to the fields of design and landscape architecture through her innovative research, teaching, and active involvement in workshops and seminars.

Professional Profile

Orcid

Suitability for the Best Researcher Award

Lin Li stands out as a compelling candidate for the Best Researcher Award due to her unique blend of academic excellence, practical experience, and a strong focus on innovative research areas within landscape architecture and design. Her Ph.D. in Landscape Architecture from Universiti Putra Malaysia, complemented by her Master’s in Design Studies from Hubei University of Technology, underscores her robust academic foundation. Her research specialization in Artificial Intelligence and Public Art, particularly in intelligent interaction and restorative therapeutic perspectives, positions her at the forefront of interdisciplinary research that merges technology, design, and mental well-being.

🎓  Education 

Lin Li holds a Ph.D. in Landscape Architecture from Universiti Putra Malaysia, where she focused on integrating Artificial Intelligence into public art to explore its therapeutic potential and applications in intelligent interaction. Her research investigates how AI can create restorative environments that enhance public well-being, contributing new insights to the fields of landscape architecture and public art. Previously, she completed a Master’s in Design Studies at Hubei University of Technology, China (2012–2015), where she concentrated on foundational design principles and creative methodologies. Lin Li’s academic journey is marked by her interdisciplinary approach, linking design theory with advanced AI technologies to develop sustainable and meaningful public art experiences. Her educational background supports her ongoing exploration into the intersections of creativity, technology, and public engagement, establishing her as a thought leader in therapeutic art and innovative design strategies.

💼   Experience 

Lin Li has been a Lecturer at the Wuhan Institute of Design and Sciences, China, since 2008, where she delivers courses in advertising creativity, brand marketing communication, and corporate image design. Her role involves not only teaching but also shaping the institution’s design curriculum and mentoring students in their professional development. Lin organizes workshops and seminars, fostering a dynamic learning environment where students can deepen their understanding of design principles. Her experience in academia is complemented by her professional expertise in creative content and digital marketing, particularly within interactive art and corporate branding. Lin Li’s innovative approach combines her deep understanding of design theory with a practical focus on media applications, making her an influential figure in the Chinese design education landscape. She has contributed significantly to advancing public art’s therapeutic and communicative aspects through her teaching and research initiatives.

🏅Awards and Honors 

Lin Li has earned recognition for her contributions to design education and her research in public art. She has received multiple awards for her innovative approaches to integrating Artificial Intelligence within public art, underscoring her dedication to advancing restorative and interactive public spaces. Her accolades include the Excellence in Design Education Award from the Wuhan Institute of Design and Sciences, which celebrates her commitment to student mentorship and curriculum development. Additionally, she has been honored at international design forums for her impactful research on the therapeutic effects of public art, gaining recognition from both academic and professional communities. Lin’s awards reflect her vision of blending technology and creativity to benefit public spaces and her ongoing contribution to enriching the fields of design and landscape architecture through a forward-thinking approach.

🌍 Research Focus 

Lin Li’s research centers on the application of Artificial Intelligence within Public Art, specifically exploring intelligent interaction and restorative, therapeutic perspectives. Her work investigates how AI-driven designs can transform public spaces into interactive, healing environments, providing sensory and emotional benefits to visitors. Lin’s approach combines traditional art forms with digital interactivity, creating art installations that respond to audience engagement. Her studies in landscape architecture have led her to focus on the therapeutic potential of AI-enabled public art in promoting mental well-being, as well as how intelligent design elements can foster community connection and reflection in urban spaces. Lin Li’s research interest in public art communication and restorative effects aligns with her aim to blend AI technologies with art, pioneering a new frontier in both therapeutic design and sustainable public engagement.

📖 Publication Top Notes

  • Title: The Impact of Virtual Immersive Public Art on the Restorative Experience of Urban Residents

 

Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

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Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

Prof. Yiyang Ni, Jiangsu Second Normal University, China

Prof.  Ni Yiyang is the Vice Dean of the School of Computer Engineering at Jiangsu Second Normal University. A member of the Communist Party of China, she completed her Ph.D. in Communication and Information Systems at Nanjing University of Posts and Telecommunications in April 2016. Yiyang is recognized for her contributions to intelligent communication and resource allocation in the Internet of Vehicles. With extensive academic involvement, she has also served as a postdoctoral researcher and lecturer, making significant strides in her field through various research projects and publications.

Professional Profile

Google Scholar

Suitability of Prof. Yiyang Ni for the Research for Best Researcher Award

Prof. Yiyang Ni is a distinguished female researcher in the field of communication engineering, whose contributions significantly align with the objectives of the Research for Best Researcher Awards. Her academic background, robust research agenda, and leadership roles position her as an exemplary candidate for this honor.

Education 

Prof. Yiyang Ni’s academic journey began at Nanjing University of Posts and Telecommunications, where she earned her Bachelor’s Degree in Communication Engineering in June 2008. She continued her studies at the same institution, pursuing a Master-Doctoral Program in Communication and Information Systems. Under the mentorship of Advisor Zhang Naitong, she successfully obtained her Ph.D. in April 2016. Her education laid a robust foundation for her future research endeavors, particularly in intelligent communication technologies.

Experience 

Prof. Yiyang Ni has accumulated diverse teaching and research experiences since 2008. She started as a Teaching Assistant at Nanjing University, progressing to Lecturer and Associate Professor roles at Jiangsu Second Normal University from April 2016 to May 2022. Currently, as Vice Dean, she plays a pivotal role in the School of Computer Engineering. Additionally, since January 2019, she has been involved in postdoctoral research, focusing on innovative communication systems and leading several significant research projects in her field.

Awards and Honors 

Prof. Yiyang Ni has received numerous accolades throughout her career, reflecting her exceptional contributions to the field of communication. Notable awards include the Second Prize for her IoT Intelligent Management System at the China Communication Society’s Science and Technology Award (2021) and the First Prize at the Jiangsu Information and Communication Industry Science and Technology Award (2021). Her innovative projects have garnered recognition, including the Second Prize for Key Technologies in Edge Networks from the China Institute of Electronics in 2021.

Research Focus 

Prof. Yiyang Ni’s research interests lie at the intersection of intelligent communication, wireless communication, and resource allocation within the Internet of Vehicles. She leads various ongoing projects aimed at developing cutting-edge communication technologies, including the integration of industrial Internet systems and the study of intelligent wireless communication theories for future networks. Her contributions to terahertz communication and device-to-device technologies are particularly noteworthy, advancing the understanding and application of these crucial areas in modern communication systems.

Publiaction Top Notes

  1. Title: Blockchain for the IoT and industrial IoT: A review
    Citation: 415
  2. Title: Beamforming and interference cancellation for D2D communication underlaying cellular networks
    Citation: 56
  3. Title: Performance Analysis for RIS-Assisted D2D Communication Under Nakagami-Fading
    Citation: 44
  4. Title: Energy efficiency and spectrum efficiency in underlay device-to-device communications enabled cellular networks
    Citation: 40
  5. Title: Weighted adaptive KNN algorithm with historical information fusion for fingerprint positioning
    Citation: 31

 

Prof. Arturo Benayas Ayuso | AI in Networking | Best Researcher Award

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Prof. Arturo Benayas Ayuso | AI in Networking | Best Researcher Award

Prof. Arturo Benayas Ayuso, Universidad Politécnica de Madrid, Spain

Arturo Benayas Ayuso is a highly skilled Naval Architect with an MSc from Universidad Politécnica de Madrid, currently pursuing a Ph.D. focusing on IoT applications in ship design and management. As the Integration Lead for NAVANTIA’s “El Cano” platform, he leads the digital transformation of naval shipbuilding, harnessing Industry 4.0 principles. Arturo has held pivotal roles across major projects, such as the Spanish S80P submarine and multi-national shipbuilding collaborations. His expertise encompasses platform integration, project management, and overseeing PLM (Product Lifecycle Management) systems, contributing significantly to modernizing naval architecture and ship design through digitization. Additionally, Arturo has co-authored influential publications and presented at global conferences on smart ship technology, IoT, and cybersecurity, marking him as an innovative force in the naval engineering field.

Professional Profile

Orcid

suitable for this Research for Best Researcher Award

Arturo Benayas Ayuso demonstrates significant qualifications for the “Best Researcher Award,” particularly in fields related to Industry 4.0 applications, IoT integration in naval architecture, and advanced project management in the shipbuilding industry. With an academic foundation in naval architecture and an ongoing Ph.D. focusing on IoT in ship design and management, Arturo brings both specialized knowledge and continuous research activity, which align well with the award’s requirements for impactful and progressive research contributions.

🎓 Education

Arturo holds an MSc in Naval Architecture from Universidad Politécnica de Madrid, with a specialization in marine motors. He is also a Ph.D. researcher focusing on IoT applications in naval engineering, particularly in ship design, shipbuilding, and management. His advanced studies delve into integrating IoT technologies within the naval architecture industry, emphasizing innovations in Industry 4.0, smart ship design, and naval automation. Arturo has undertaken extensive training in critical industry software, such as Siemens Teamcenter PLM and PTC Windchill PLM, equipping him with sophisticated skills to address the complex challenges of modern shipbuilding. His ongoing academic pursuits and certifications, including machine learning from Stanford and advanced system administration for PLM platforms, underscore his dedication to continuous learning and technological advancement in naval architecture.

💼   Experience 

Arturo Benayas Ayuso serves as the Integration Lead for NAVANTIA’s “El Cano” platform, orchestrating comprehensive integration efforts for advanced naval shipbuilding, which involves embracing Industry 4.0 digitalization. His previous roles as Technical Account Manager and Solution Architect have seen him shape FORAN-PLM integration for high-profile naval projects, like the Spanish Navy’s S80P submarine. With extensive experience in PLM systems (Windchill, Teamcenter), Arturo leads a dynamic team to deliver custom integrations for NAVANTIA’s global naval operations, ensuring optimal functionality and efficient lifecycle management. His career also includes work at SENER Ingeniería y Sistemas, managing multi-national shipbuilding collaborations, from the Royal Navy’s CVF project to offshore platform developments in Dubai. Beyond integration, Arturo contributes strategic oversight for project tenders, technical specifications, and economic forecasting.

🏅 Awards & Honors 

Arturo Benayas Ayuso has received industry recognition for his innovative contributions to naval architecture and ship design. Notably, his leadership in NAVANTIA’s “El Cano” platform exemplifies his commitment to advancing naval engineering with cutting-edge digital solutions and IoT integration. Arturo has been honored for his technical expertise, particularly in integrating PLM systems like Windchill and Teamcenter, which has significantly optimized NAVANTIA’s digital transformation. His presentations and publications, such as those at the RINA Smart Ship Technology conference, have won acclaim, further establishing his role as a thought leader in naval engineering. Additionally, Arturo’s contributions to pioneering the modernization of naval architecture through the FORAN-PLM platform have been acknowledged by peers in both industry and academia, marking his impact on the future of naval design and management.

🌍 Research Focus 

Arturo’s research emphasizes IoT applications within naval architecture, particularly in ship design, shipbuilding, and management. His Ph.D. work explores innovative IoT integrations for smart ship technology, aiming to advance ship management efficiency and safety. His research also delves into PLM system integrations, with a focus on optimizing Product Lifecycle Management for the naval industry, bridging the gap between physical and digital shipbuilding processes. Arturo is passionate about cybersecurity within IoT networks, exploring how blockchain can serve as a foundational security layer, especially for IoT-dependent naval platforms. His scholarly work, including conference presentations and journal articles, provides insights into Industry 4.0 applications, smart ships, and data management strategies for efficient maritime operations. His work positions him at the forefront of applying IoT and digital solutions in naval engineering, setting new standards for smart and secure shipbuilding.

📖 Publication Top Notes

  • CAD Sensitization, an Easy Way to Integrate Artificial Intelligence in Shipbuilding
  • Internet of Things Cybersecurity – Blockchain as First Securitization Layer of an IoT Network
  • Automated/Controlled Storage for an Efficient MBOM Process in Shipbuilding Managing IoT Technology
  • Data Management for Smart Ship or How to Reduce Machine Learning Cost in IoS Applications
  • RFID Tagging for a Connected Shipyard