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. 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

Prof. Dr. Chi Xu | Networking Awards | Best Researcher Award

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Prof. Dr. Chi Xu | Networking Awards | Best Researcher Award

Prof. Dr. Chi Xu, Shenyang Institute of Automation, Chinese Academy of Sciences, China

Xu Chi, Ph.D. is a Professor at the Shenyang Institute of Automation, Chinese Academy of Sciences, specializing in control science and engineering. Born on February 2, 1987, in China, he obtained his Ph.D. in Control Theory and Control Engineering from the University of Chinese Academy of Sciences in 2017. Xu has held various academic positions, including Associate Professor and Assistant Professor at the same institute. He is actively involved in multiple guest professorships at institutions like Shenyang University of Technology and Shenyang Ligong University. Xu is a senior member of several professional societies, including IEEE and the China Institute of Communications. His research focuses on industrial wireless networks, tactile internet, and intelligent manufacturing, with significant contributions through various funded projects and numerous publications in leading journals.

Professional Profile:

Google Scholar

Summary of Suitability for the Best Researcher Award

Xu Chi, Ph.D., stands out as an exemplary candidate for the Best Researcher Award due to his profound contributions to control engineering and robotics, evidenced by his extensive research funding, numerous high-impact publications, innovative patents, and active participation in professional societies. His commitment to advancing technology, coupled with his leadership in academia, positions him as a deserving recipient of this prestigious award.

🎓Education:

Dr. Xu Chi completed his Postdoctoral Research in Control Science and Engineering at the Shenyang Institute of Automation, Chinese Academy of Sciences, in Shenyang, China, from June 2019 to June 2022. He earned his Ph.D. in Control Theory and Control Engineering from the University of Chinese Academy of Sciences in Beijing, China, between March 2013 and July 2017. Prior to his doctoral studies, Dr. Xu obtained a Master’s degree in Communication and Information Systems from Liaoning Technical University in Huludao, China, where he studied from September 2010 to January 2013. He also holds a Bachelor’s degree in Communication Engineering from the same institution, which he completed from September 2006 to July 2010, along with a Bachelor (Minor) in Engineering Management earned from May 2008 to July 2010 at Liaoning Technical University.

🏢Work Experience:

Dr. Xu Chi currently serves as a Professor at the State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences in Shenyang, China, a position he has held since March 2023. Before this role, he was an Associate Professor at the same laboratory from March 2020 to February 2023, and he previously worked as an Assistant Professor from September 2017 to February 2020. In addition to his primary appointment, Dr. Xu is a Guest Professor at several institutions, including Shenyang University of Technology since April 2021, Shenyang Ligong University since December 2020, and Shenyang University of Chemical Technology since September 2020. He has also been affiliated with the National Robotics Innovation Centre in Shenyang, China, as a Guest Professor since May 2019.

🏅Awards and Memberships:

Dr. Xu Chi is an esteemed member of various professional societies, reflecting his significant contributions to the field of engineering and technology. He has been a Senior Member of IEEE, the China Institute of Communications, and the Chinese Institute of Electronics since 2022. Additionally, he holds the status of Senior Member at the Chinese Institute of Command and Control and the China Computer Federation since 2021. Dr. Xu actively participates in governance and development initiatives as a Committee Member of the Youth Working Committee of the Chinese Association of Automation since 2021 and the Youth Innovation Promotion Association at the Chinese Academy of Sciences since 2019.

🔬Research Focus:

Dr. Xu Chi’s research primarily focuses on several cutting-edge areas within engineering and technology. His work centers around industrial wireless networks, exploring their potential to enhance communication in various sectors. He is also deeply engaged in the tactile internet, aiming to develop applications that require real-time interactions and feedback. Additionally, Dr. Xu contributes to intelligent manufacturing by researching innovative solutions that integrate automation and data exchange. His efforts include the development and implementation of ultra-reliable and real-time control networks tailored for industrial applications, as well as fusion and unified modeling methods for heterogeneous protocol suites. Furthermore, he is actively involved in researching adaptation technologies for industrial 5G networks to improve efficiency and reliability in manufacturing processes.

Publication Top Notes:

  • Title: End-to-end throughput maximization for underlay multi-hop cognitive radio networks with RF energy harvesting
  • Cited by: 168
  • Title: Outage Performance of Underlay Multihop Cognitive Relay Networks with Energy Harvesting
  • Cited by: 108
  • Title: Real-time scheduling of massive data in time sensitive networks with a limited number of schedule entries
  • Cited by: 62
  • Title: Harvesting-Throughput Tradeoff for RF-powered Underlay Cognitive Radio Networks
  • Cited by: 33
  • Title: Digital twin-driven collaborative scheduling for heterogeneous task and edge-end resource via multi-agent

 

 

Dr. Mokhtar Mohamed | Efficient Networking Awards | Best Researcher Award

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Dr. Mokhtar Mohamed | Efficient Networking Awards | Best Researcher Award

Dr. Mokhtar Mohamed, Delta university for Science and Technology, Egypt

Dr. Mokhtar Mohamed is a dedicated scholar specializing in Engineering Mathematics, currently serving at Delta University for Science and Technology in Egypt. He holds a Ph.D. and an M.Sc. from the Faculty of Engineering at Zagazig University, with his doctoral research focusing on the nonlinear quadrature analysis of photocurrent transients in organic polymer solar cells, resulting in three published papers. Earlier, his master’s thesis explored nonlinear quadrature analysis in nano beam vibration problems, yielding two published papers. Dr. Mohamed’s academic pursuits highlight his expertise in advanced mathematical modeling, with interests spanning group methods for solving partial differential equations, hidden symmetries, fluid dynamics, boundary layer problems, and numerical analysis. His personal skills include effective communication, strong teamwork, and a goal-oriented approach, reflecting his commitment to academic excellence and research advancement in engineering sciences.

Professional Profile:

Google Scholar
Orcid
Scopus

🎓 Education:

Dr. Mokhtar Mohamed is a dedicated scholar specializing in Engineering Mathematics, holding a Ph.D. and an M.Sc. from the Faculty of Engineering at Zagazig University. His doctoral research focused on the nonlinear quadrature analysis of photocurrent transients in organic polymer solar cells, resulting in three published papers. Earlier, his master’s thesis explored nonlinear quadrature analysis in nano beam vibration problems, yielding two published papers. Dr. Mohamed’s academic pursuits highlight his expertise in advanced mathematical modeling and his contributions to the field of engineering sciences.

👨‍🏫 Teaching Topics:

Expertise in Algebra, Analytic Geometry, Differential and Integral Calculus, Numerical Methods, Solution of Ordinary and Partial Differential Equations, Complex Analysis, Special Functions, Laplace Transform, Fourier Transform, Sequences, Infinite Series, Multiple Integrals, Statistics and Probability, Mechanics (Static and Dynamic courses).

🔬 Interests:

Research interests include group methods for solving partial differential equations, hidden symmetries of differential equations, fluid dynamics, boundary layer problems, and numerical analysis of nanobeam problems using DQM.

🌟 Personal Skills:

Known for good communication skills, adept at both independent work and teamwork, quick learner, goal-oriented, highly productive, and efficient worker.

Publication Top Notes: