Prof. Dr. Resul Das | Computer Networks Awards | Best Faculty Award

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Prof. Dr. Resul Das | Computer Networks Awards | Best Faculty Award

Prof. Dr. Resul Das, Firat Universtiy, Turkey

Prof. Dr. Resul Das is a Full Professor in the Department of Software Engineering at Firat University, Turkey, specializing in software engineering, cyber security, data science, and IoT solutions. He earned his Ph.D. in Electrical-Electronics Engineering from Firat University and later pursued postdoctoral research at the University of Alberta, Canada, where he focused on multi-sensor data fusion and IoT security. Prof. Dr. Das has a strong academic background, with research interests spanning agile software development, network management, machine learning, and smart applications. He has received numerous awards, including TƜBiTAK’s Academic Publication Encouragement Award and the European Union’s Leonardo Da Vinci Education Grant. Prof. Dr. Das is also an active member of professional associations, including the Cisco Networking Academy and the Vocational and Technical Education Development Association. āœØšŸŽ‰

Publication Profile:

Scopus
Orcid
Google Scholar

Suitability for the Award

Prof. Dr. Resul Das’s extensive academic contributions, global research impact, and leadership in advancing education and research make him a highly suitable candidate for the Research for Best Faculty Award. His work in IoT security, graph data science, and fog computing has not only addressed critical technological challenges but also influenced subsequent research and applications. šŸ’”šŸ’„

Academic Background

Prof. Dr. Resul Das earned his Ph.D. in Electrical-Electronics Engineering from Firat University, Turkey (2008), with a focus on Knowledge Extraction from Web User Access Logs. He also completed his M.Sc. in Electronics and Computer Science (2002) from the same institution, specializing in Video Conference System Design. šŸ”šŸ’”

Research Interests

His expertise spans Software Engineering, Computer Networks, Cyber Security, Data Science, and IoT/M2M Solutions, particularly in multi-sensor data fusion, IoT security, smart grids, fog computing, and big data. His work on cyber-attacks, machine learning, and network optimization contributes to advancing modern tech infrastructure. šŸŽ‰šŸ’”

Professional Career

Currently a Full Professor at Firat University, Dr. Das has held notable positions as a Visiting Professor at the University of Alberta, Canada, and has led numerous successful research projects in IoT security and data fusion. His contributions have earned him several prestigious awards, including TƜBiTAK Academic Publication Encouragement Award (16 times) and the EU Leonardo Da Vinci Education Grant (2006). šŸŒāœØ

Global Recognition

A TƜBiTAK International Postdoctoral Research Fellowship recipient, Prof. Dr. Das has also contributed significantly as a Cisco Networking Academy Instructor and Project Coordinator. His work has been recognized globally for its impact on cyber security and data science advancements.Ā šŸ”šŸ’”šŸŒ

Publication Top Notes:

  • Effective diagnosis of heart disease through neural networks ensembles
    • Citations: 848
    • Year: 2009
  • Cyber-security in smart grids: Threats and potential solutions
    • Citations: 729
    • Year: 2020
  • A comparison of multiple classification methods for diagnosis of Parkinson’s disease
    • Citations: 486
    • Year: 2010
  • Performance analysis of classification algorithms on early detection of liver disease
    • Citations: 221
    • Year: 2017
  • A novel honeypot-based security approach for real-time intrusion detection and prevention systems
    • Citations: 139
    • Year: 2018

 

 

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 Masterā€™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 Liā€™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 Masterā€™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.

šŸŽ“Ā Ā EducationĀ 

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 Masterā€™s in Design Studies at Hubei University of Technology, China (2012ā€“2015), where she concentrated on foundational design principles and creative methodologies. Lin Liā€™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.

šŸ’¼Ā  Ā ExperienceĀ 

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 institutionā€™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 Liā€™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.

šŸ…Awards and HonorsĀ 

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.

šŸŒĀ Research FocusĀ 

Lin Liā€™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. Linā€™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 Liā€™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.

šŸ“– 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 PolitƩcnica de Madrid, Spain

Arturo Benayas Ayuso is a highly skilled Naval Architect with an MSc from Universidad PolitĆ©cnica de Madrid, currently pursuing a Ph.D. focusing on IoT applications in ship design and management. As the Integration Lead for NAVANTIA’s ā€œEl Canoā€ 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.

šŸŽ“Ā Education

Arturo holds an MSc in Naval Architecture from Universidad PolitƩcnica 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.

šŸ’¼Ā  Ā ExperienceĀ 

Arturo Benayas Ayuso serves as the Integration Lead for NAVANTIAā€™s ā€œEl Canoā€ 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 IngenierĆ­a y Sistemas, managing multi-national shipbuilding collaborations, from the Royal Navyā€™s CVF project to offshore platform developments in Dubai. Beyond integration, Arturo contributes strategic oversight for project tenders, technical specifications, and economic forecasting.

šŸ…Ā Awards & HonorsĀ 

Arturo Benayas Ayuso has received industry recognition for his innovative contributions to naval architecture and ship design. Notably, his leadership in NAVANTIA’s ā€œEl Canoā€ 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 NAVANTIAā€™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, Arturoā€™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.

šŸŒĀ Research FocusĀ 

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.

šŸ“– 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.

šŸŽ“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.

šŸ¢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.

šŸ…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.

šŸ”¬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. Adnene Arbi | AI in Networking | Excellence in Research

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Dr. Adnene Arbi | AI in Networking | Excellence in Research

Dr adnene arbi , EPT, Tunisia

Dr. Adnene Arbi, an Assistant Professor at the National School of Advanced Sciences and Technologies at Borj Cedria and a member of the Laboratory of Engineering Mathematics at Polytechnic School of Tunisia, is a prominent researcher in applied mathematics. His work is recognized for its depth in areas such as robust control, synchronization, time scale spaces, and dynamical systems. With more than 26 peer-reviewed publications, he is a distinguished figure in his field, contributing to both academic and practical advancements in mathematics.

Professional Profile:

Scopus
Orcid

Suitability for the Research for Best Researcher Award

Dr. Adnene Arbi is exceptionally well-suited for a Research Excellence Award due to his comprehensive expertise, innovative contributions, and significant impact in the field of applied mathematics. His research encompasses a broad range of complex topics, including robust control, synchronization of neural networks, and time scale spaces, demonstrating a deep understanding of both theoretical and practical aspects of mathematics.

Dr. Arbi’s work is distinguished by his innovative methodologies and solutions to challenging mathematical problems. For instance, his development of a new technique for optimizing parameters in Support Vector Machines (SVM) during his Masterā€™s studies highlights his capacity for pioneering research that addresses critical issues in computational mathematics. His subsequent research on the stability of Hopfield-type neural networks and his exploration of oscillatory systems and delayed differential equations further underscore his innovative approach and expertise.

Academic Background šŸ“š

Dr. Arbi’s academic journey is marked by excellence. He achieved his Habilitation in Applied Mathematics from the Preparatory Institute for Scientific and Technical Studies, University of Carthage in 2023, with a focus on functional spaces of oscillatory type and delayed dynamical models. His Ph.D. from the Faculty of Sciences of Bizerta in 2014 concentrated on the stability of Hopfield-type neural network models. Earlier, he earned a Master’s in Engineering of Mathematics and a Bachelor’s in Applied Mathematics, both from the University of Carthage, showcasing a strong foundation in mathematical theory and application.

Professional Experience šŸ’¼

Dr. Arbi is an Assistant Professor at the National School of Advanced Sciences and Technologies at Borj Cedria and serves as a member of the Laboratory of Engineering Mathematics at the Polytechnic School of Tunisia. His professional roles include teaching various mathematics modules, ranging from analysis and numerical methods to data mining and simulation. He also holds editorial positions with several international journals, demonstrating his influence in the field.

Research Interests and Contributions šŸ”¬

Dr. Arbi’s research interests are broad and impactful, encompassing robust control, time scale spaces, stochastic and time-delay systems, and neural networks. His work often explores the dynamics of complex systems and their optimization, contributing to the theoretical and practical advancements in these areas. His research also delves into algorithm development and artificial intelligence, further broadening his impact.

Awards and Recognitions šŸ†

Dr. Adnene Arbi has garnered significant recognition throughout his academic career, reflecting his exceptional contributions to the field of applied mathematics. Notable among his accolades is the very honorable mention for his Habilitation in Applied Mathematics, awarded in 2023, which highlights his significant contributions to the study of functional spaces of oscillatory types and delayed dynamical models. Additionally, Dr. Arbi has received commendations for his doctoral research, which explored the stability of Hopfield-type neural networks, underscoring his expertise in both theoretical and applied mathematics. His role as a reviewer and editor for numerous high-impact journals also illustrates the esteem in which he is held by the academic community. These honors collectively underscore Dr. Arbi’s excellence in research and his influential role in advancing mathematical sciences.

Innovations and Impact šŸš€

Dr. Adnene Arbiā€™s innovation is highlighted by his development of novel techniques in parameter optimization for Support Vector Machines (SVM), enhancing machine learning efficiency. His work on oscillatory systems and time scale spaces introduces new analytical methods for dynamical systems. This innovation not only advances theoretical understanding but also has practical implications in control systems and artificial intelligence. Dr. Arbiā€™s contributions are widely recognized through his extensive publications and editorial roles, reflecting his significant impact on both academic research and real-world applications.

Publication Top Notes:

  1. Artificial Intelligence Techniques for Bankruptcy Prediction of Tunisian Companies: An Application of Machine Learning and Deep Learning-Based Models
    • Year: 2024
    • Journal: Journal of Risk and Financial Management
  2. Robust Model Predictive Control for Fractional-Order Descriptor Systems with Uncertainty
    • Year: 2024
    • Journal: Fractional Calculus and Applied Analysis
  3. Synchronization Analysis of Novel Delayed Dynamical Clifford-Valued Neural Networks on Timescales
    • Year: 2024
    • Journal: Journal of Algorithms and Computational Technology
  4. Morlet Wavelet Neural Network Investigations to Present the Numerical Investigations of the Prediction Differential Model
    • Year: 2023
    • Journal: Mathematics
  5. Designing a Bayesian Regularization Approach to Solve the Fractional Layla and Majnun System
    • Year: 2023
    • Journal: Mathematics
  6. Stability Analysis of Inertial Neural Networks: A Case of Almost Anti-Periodic Environment
    • Year: 2022
    • Journal: Mathematical Methods in the Applied Sciences
  7. Dynamics of Delayed Cellular Neural Networks in the Stepanov Pseudo Almost Automorphic Space
    • Year: 2022
    • Journal: Discrete and Continuous Dynamical Systems – Series S

Dr. Yasir AlKubaisi | Efficient Networking | Best Researcher Award

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Dr. Yasir AlKubaisi | Efficient Networking | Best Researcher Award

Dr. Yasir AlKubaisi, Dubai Academic Health Corporation, United Arab Emirates

Dr. Yasir AlKubaisi is a distinguished electrical engineer and sustainable energy expert currently serving at the Dubai Academic Health Corporation, UAE. With a Ph.D. in Electrical Engineering from University Putra Malaysia, his research has significantly advanced energy harvesting systems. He also holds an MSc in Computer Engineering and a BSc in Electrical and Computer Engineering from the University of Technology, Baghdad. Since 2009, Dr. AlKubaisi has been pivotal in implementing sustainable projects within Dubai’s healthcare sector, including the Sustainable Blood Donation Bus. His extensive skills in project management, data analysis, and system design are complemented by his proficiency in LEED standards and various technical tools like MATLAB and AutoCAD. Recognized with numerous awards, including the MDIP Best Researcher Award in 2024, Dr. AlKubaisi’s work focuses on sustainable energy, electrical and control engineering, and robotics and automation.

Professional Profile:

Scopus
Orcid
Google scholar
šŸŽ“ Education:

PhD: Electrical Engineering, University Putra Malaysia (UPM), May 2020.,Dissertation: “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building.”,MSc: Computer Engineering, University of Technology, Baghdad, Iraq, May 2005.,BSc: Electrical and Computer Engineering, University of Technology, Baghdad, Iraq, June 1994

šŸ’¼ Work Experience:

Dubai Academic Health Corporation, Dubai, UAE (2009-present):,Sustainable Engineer, Corporate Environmental Health-Safety & Sustainability Dept.,Key projects include the Sustainable Blood Donation Bus and various energy-saving initiatives.,Dubai Health Authority, Dubai, UAE (2009-2017),Various roles in the Engineering Department, focusing on project management, sustainability, and quality control.,Higher Education Computer Center, Iraq (1994-2007):,Significant experience in overseeing design solutions and managing technical teams.

šŸŒ Skills:

  • trong project management and technical skills including data analysis, system design, and process improvement.
  • Proficient in LEED standards, ISO, and JCI requirements for healthcare buildings.
  • Skilled in MATLAB, MS Office Suite, AutoCAD, and 3D Max

šŸ† Awards & Recognition:

  • MDIP Best Researcher Award, International Research Awards on Sensing Technology, 2024
  • Reviewer Recognition, Elsevier “Journal of Cleaner Production”, 2023
  • Various Certificates of Appreciation from Dubai Health Authority for environmental and sustainability contributions.

šŸ” Research Focus:

Publication Top Note:

 

 

 

Prof Dr. TomƔs de J. Mateo Sanguino | Certificaciones profesionales CCNA | Best Researcher Award

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Prof Dr. TomƔs de J. Mateo Sanguino | Certificaciones profesionales CCNA | Best Researcher Award

Prof Dr. TomƔs de J. Mateo Sanguino, Universidad de Huelva, Spain

šŸ‘Øā€šŸ« Dr. TomĆ”s de JesĆŗs Mateo Sanguino is an Associate Professor at the University of Huelva, specializing in Electronics Engineering, Computer Systems, and Robotics. šŸ¤– With a diverse educational background including a PhD from the University of Huelva, he has been deeply involved in academia since 2004. šŸ’¼ Dr. Mateo Sanguino has made significant contributions to research, with over 100 publications in prestigious journals and conferences, earning him notable recognition including a high h-index. šŸ“ˆ He has a strong track record in leading various research and teaching projects, both at national and international levels, and has been involved in patenting innovative technologies related to road signaling and communication equipment. šŸ›£ļø Additionally, his dedication extends to promoting scientific culture through organizing events and conferences, notably the ongoing “ScienCity” conference since 2017. šŸŒŸ He is also recognized for his commitment to education, having served as an instructor for the CISCO Certified Networking Association and mentoring numerous student projects and doctoral theses. šŸŽ“ Dr. Mateo Sanguino’s work reflects his passion for advancing engineering education and contributing to cutting-edge research in his field.

šŸŒĀ Professional Profiles :

Google Scholar

Scopus

Orcid

šŸ“š Education:

Ph.D. in Systems Engineering and Automatics from the University of Huelva (2010), Master’s Degree in University Teaching from the University of Huelva (2008), Electronics Engineering from the University of Granada (2001)

šŸ” General Indicators of Quality of Scientific Production:

4 six-year periods, 62 publications in Scopus, 39 in JCR (Q1 = 15, Q2 = 7), h-index of 14 in Scopus, h-index of 17 in ResearchGate and Google Scholar, total citations of 851 in Scopus, 1177 in ResearchGate, 1470 in Google Scholar, ResearchGate Interest Score of 503.3 (> 87% of members)

šŸŒ Research Focus:

Dr. TomĆ”s de JesĆŗs Mateo Sanguino is an Associate Professor at the University of Huelva, specializing in Communications and networking, Robotics, and Engineering teaching. šŸ¤–šŸ“” He has a Ph.D. in Systems Engineering and Automatics, a Master’s Degree in University Teaching, and a background in Electronics Engineering. šŸŽ“ He has a strong research background, with numerous publications, patents, and active participation in various R&D projects. šŸ’¼šŸ”¬ Dr. Mateo Sanguino is also an experienced instructor, having taught at the CISCO Certified Networking Association for 16 years and serving as a mentor for numerous student projects and doctoral theses. šŸ“ššŸ‘„ He is passionate about promoting scientific, technological, and innovation culture, as evidenced by his role in organizing events like “ScienCity.” šŸŒšŸ’”

šŸŽ“ Experience:

Research fellow at the National Institute of Aerospace Technology (INTA) since 1998, freelancer at INTA, Higher Council for Scientific Research (CSIC) project in 2003/04, part of the research group ā€œRobotic and High Energy Astrophysicsā€ (TIC-189) of the Andalusian Research Plan (PAI), founder of “OnuRobotics” Spin-off (2009/12) with two awarded prizes, postdoctoral stay at EPFL (Switzerland)

šŸ’¼ Professional Contributions:

Led 1 international R&D project, 2 national knowledge transfer projects, 3 regional R&D projects, and 19 teaching innovation projects, obtained around 150Kā‚¬ in aids, participated in the European COST action CA16222 ā€œWider Impacts and Scenario Evaluation of Autonomous and Connected Transportā€, participated in 8 national R&D projects and 3 regional R&D projects, holds three patents relevant to the field

šŸ“ Publications & Editorial Contributions:

Published around 100 papers in various books, journals, and conferences, more than 50% indexed in Scopus, reviewer of 42 working documents, guest editor of four special issues on sensors, transportation systems, mobile devices, and intelligent applications for smart cities in Sensors (MDPI, Switzerland) and Wireless Communications and Mobile Computing (Hindawi)

šŸ† Honors & Awards:

Honored as an Advanced Level Instructor of Excellence in 2013 by imparting CCNA R&S, Data Center, and Wireless professional certifications at the local DIESIA Networking Academy of the UHU

šŸ‘„ Teaching & Mentorship:

Completed 16 years of service as an instructor of the CISCO Certified Networking Association, tutor of 39 final student projects and 1 Doctoral Thesis, responsible for 2 Theses in the Doctoral Program in ā€œScience, Industrial and Environmental Technologyā€

šŸ“šĀ Publication Impact and Citations :

Scopus Metrics:

  • šŸ“Ā Publications: 62 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 864 citations for his publications, reflecting the widespread impact and recognition of Dr. Mateo Sanguinoā€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 1487 šŸ“–
    • h-index: 17 šŸ“Š
    • i10-index: 31 šŸ”
  • Since 2018:
    • Citations: 576 šŸ“–
    • h-index: 13 šŸ“Š
    • i10-index: 16 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publications Top Notes :

  • Over-the-Air Programming System for IoT Devices with a Non-native Wireless Update Service (2022)
    • Journal: Journal of Physics: Conference Series
    • Authors: Lozano DomĆ­nguez, J.M., Mateo Sanguino, T.J., Redondo GonzĆ”lez, M.J., FernĆ”ndez De Viana GonzĆ”lez, I.J.
    • Citations: 1
  • Vehicle Detection System for Smart Crosswalks Using Sensors and Machine Learning (2021)
    • Conference: 18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
    • Authors: Lozano Dominguez, J.M., Al-Tam, F., Sanguino, T.D.J.M., Correia, N.
    • Citations: 5
  • Walking secure: Safe routing planning algorithm and pedestrianā€™s crossing intention detector based on fuzzy logic app (2021)
    • Journal: Sensors
    • Authors: DomĆ­nguez, J.M.L., Sanguino, T.J.M.
    • Citations: 9
  • Analysis of machine learning techniques applied to sensory detection of vehicles in intelligent crosswalks (2020)
    • Journal: Sensors (Switzerland)
    • Authors: DomĆ­nguez, J.M.L., Al-Tam, F., Sanguino, T.J.M., Correia, N.
    • Citations: 12
  • Multi-Objective Decision Support System for Intelligent Road Signaling (2020)
    • Conference: Iberian Conference on Information Systems and Technologies, CISTI, 2020
    • Authors: Dominguez, J.M.L., Sanguino, T.D.J.M., Veliz, D.M., Gonzalez, I.J.F.D.V.
    • Citations: 2

 

 

 

 

 

Innovation in Networking Award

Posted on by ScienceFather

Innovation in Networking Award

Introduction: Welcome to the Innovation in Networking Awardā€”an esteemed recognition that honors pioneers in the field who have demonstrated exceptional innovation and creativity in advancing networking technologies. This award celebrates those whose groundbreaking contributions have significantly shaped the future of networking.

Award Eligibility: The Innovation in Networking Award is open to individuals, teams, and organizations that have made noteworthy contributions to the advancement of networking technologies through innovative approaches. Eligibility is not restricted by age, and qualifications may vary.

Qualifications and Publications: Nominees should showcase a distinguished record of innovative work in the realm of networking. While formal qualifications are not mandatory, a strong portfolio of publications, case studies, or successful implementations is highly encouraged.

Requirements for Submission: Nominees are required to submit a comprehensive biography, an abstract outlining their innovative contributions to networking, and supporting files that substantiate the impact of their work.

Evaluation Criteria: Submissions will be evaluated based on the level of innovation, the impact on the field, and the potential for future advancements in networking technologies. The judging panel will also consider the practical applications of the nominee's innovative approaches.

Submission Guidelines:

  • Submit a detailed biography highlighting innovative contributions to networking.
  • Include an abstract summarizing key innovations in networking.
  • Attach supporting files, such as case studies, prototypes, or other relevant documents.
  • Ensure all materials are submitted by the specified deadline.

Recognition and Community Impact: Recipients of the Innovation in Networking Award will receive widespread recognition within the networking and technology communities. The award aims to highlight the broader community impact of advancements in networking innovation.

Biography: Nominees are encouraged to submit a detailed biography, showcasing their innovative journey, notable achievements, and the impact of their contributions to networking.

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