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. 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. Dipali Shende | Multicast Routing Award | Best Researcher Award

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Dr. Dipali Shende | Multicast Routing Award | Best Researcher Award

Dr. Dipali Shende, PCCOER,Ravet, India

👩‍🎓 Dr. Dipali K. Shende, Ph.D., is an accomplished educator with a background in E & TC Engineering. She earned her Ph.D. from Savitribai Phule Pune University in 2023, specializing in the field. With nearly 17 years of teaching experience, she currently serves as an Assistant Professor at Pimpri Chinchwad College of Engineering and Research, Ravet, since August 2022. Dr. Shende has garnered recognition for her dedication to education, receiving awards such as the Best Teacher Award at PCCOER, Ravet, the International Adroit Teacher Award, and the Innovative Technologist & Dedicated Teaching Professional Award. 🏫🏆

Professional Profile:

Scopus

Google Scholar

👩‍🎓 Education:

Dr. Dipali K. Shende holds a Ph.D. in E & TC Engineering from Savitribai Phule Pune University, awarded in 2023. She completed her M.E. in E & TC Engineering with a specialization in VLSI-Embedded in 2011, and her B.Tech in E & TC Engineering with distinction in 2003 from Dr. Babasaheb Ambedkar Marathwada University.

🏫 Teaching Experience:

With 16 years and 11 months of teaching experience, Dr. Shende has served as an Assistant Professor at Pimpri Chinchwad College of Engineering and Research, Ravet, since August 2022. She previously held positions at Sinhgad Institute of Technology Lonavala and Hi-Tech College of Engineering.

🏆 Awards:

Dr. Shende has received numerous awards recognizing her contributions to education, including the Best Teacher Award at PCCOER, Ravet, the International Adroit Teacher Award, and the Innovative Technologist & Dedicated Teaching Professional Award.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 06 documents indexed in Scopus.
  • 📊 Citations: A total of 67 citations for his publications, reflecting the widespread impact and recognition of Dr. Dipali Shende’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 148 📖
    • h-index: 06  📊
    • i10-index: 06 🔍
  • Since 2018:
    • Citations: 146 📖
    • h-index: 06 📊
    • i10-index: 06 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

  1. CrowWhale-ETR: CrowWhale optimization algorithm for energy and trust aware multicast routing in WSN for IoT applications
    • Published in Wireless Networks in 2020.
    • Cited by 64 articles.
  2. A Comprehensive Survey of the Routing Schemes for IoT applications
    • Published in Scalable Computing: Practice and Experience in 2020.
    • Cited by 21 articles.
  3. IoT Based Geographic Multicast Routing Protocol with DPA through WSN
    • Published in International Journal of Creative Research Thoughts in 2018.
    • Cited by 14 articles.
  4. Dementia patient activity monitoring and fall detection using IoT for elderly
    • Published in International Journal of Trend in Scientific Research and Development in 2019.
    • Cited by 12 articles.
  5. An iterative CrowWhale-based optimization model for energy-aware multicast routing in IoT
    • Published in International Journal of Information Security and Privacy (IJISP) in 2022.
    • Cited by 11 articles.

 

 

 

 

 

Prof Dr. María-del-Mar Camacho-Miñano | Network Operation and Management | Best Paper Award

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Prof Dr. María-del-Mar Camacho-Miñano | Network Operation and Management | Best Paper Award

Prof Dr. María-del-Mar Camacho-Miñano, Complutense University of Madrid, Sudan

🎓 Dr. María-del-Mar, currently pursuing a PhD in Accounting at the Universidad Complutense de Madrid, exemplifies a commitment to academic excellence and research in the field of accounting and finance. With a wide array of research interests spanning bankruptcy, accounting education, earnings management, auditing, and sheltered employment centers, she demonstrates a passion for delving into complex financial issues. Driven by a keen eye for detail and a desire to uncover insights, she aims to contribute to improved financial practices and education, making a positive impact in both academic and practical realms. 📊🔍

🌐 Professional Profiles :

Scopus

Orcid

Google Scholar

🎓 Education:

👩‍🎓 Dr. María-del-Mar is currently pursuing a PhD in Accounting at the Universidad Complutense de Madrid. Her dedication to advancing knowledge in the field of accounting and finance is evident through her ongoing pursuit of higher education at one of Spain’s prestigious institutions. With a focus on academic excellence and research, Dr. María-del-Mar is poised to make significant contributions to the field. 📚

Research Interest :

🔍 Dr. María-del-Mar’s research interests span a wide range of topics including bankruptcy, accounting education, earnings management, auditing, and sheltered employment centers. With a keen eye for detail and a passion for exploring complex financial issues, she is dedicated to advancing knowledge in these areas. Through her research endeavors, Dr. María-del-Mar seeks to uncover insights that can contribute to better financial practices, education, and management strategies, ultimately making a positive impact in both academic and practical domains.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 46 documents indexed in Scopus.
  • 📊 Citations: A total of 779 citations for his publications, reflecting the widespread impact and recognition of Dr. María-del-Mar’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 2278 📖
    • h-index: 25  📊
    • i10-index: 40 🔍
  • Since 2018:
    • Citations: 1711 📖
    • h-index: 21 📊
    • i10-index: 37 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

  1. ‘Surely they can’t do as well’: a comparison of business students’ academic performance in English-medium and Spanish-as-first-language-medium programmes
    • Published in Language and Education in 2014.
    • 269 citations.
  2. Exploring the impact of English-medium instruction on university student academic achievement: The case of accounting
    • Published in English for Specific Purposes in 2016.
    • 213 citations.
  3. The impact of SME’s pre-bankruptcy financial distress on earnings management tools
    • Published in International Review of Financial Analysis in 2015.
    • 163 citations.
  4. What can we learn from the evolution of research on lean management assessment?
    • Published in International Journal of Production Research in 2013.
    • 124 citations.
  5. Impacto de la motivación intrínseca en el rendimiento académico a través de trabajos voluntarios: Un análisis empírico
    • Published in Revista Complutense de Educación in 2015.
    • 86 citations.

 

 

 

 

 

 

Prof Dr. Alvaro Barradas | Routing | Best Researcher Award

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Prof Dr. Alvaro Barradas | Routing | Best Researcher Award

Prof Dr. Alvaro Barradas, University of Algarve, Portugal

Dr. Alvaro Barradas holds a PhD in Electronic Engineering and Computing (2009/11) and a Bachelor’s in Computer Science Management from the University of Algarve. 🎓 With a teaching career spanning 2013 to 2019 at the same university, he specialized in Electrotechnical Engineering, Electronics, and Informatics. 🏫 Dr. Barradas is a prolific researcher with 15 articles and a book to his credit, focusing on Substation Automation Systems, Interoperability, and Routing Algorithms. 📚 Currently affiliated with the University of Algarve’s Center for Optoelectronics, Electronics, and Telecommunications, his projects include SensWorking, blending IoT with biological monitoring, and optimizing wireless mesh and sensor networks.

🌐 Professional Profiles :

Scopus

Orcid

🎓 Education:

Dr. Alvaro Barradas completed his PhD in Electronic Engineering and Computing in 2009/11 from the University of Algarve, specializing in Computer Systems Architecture. He also holds a Bachelor’s degree in Computer Science Management from the University of Algarve.

🏫 Teaching Experience:

With a career spanning from 2013 to 2019, Dr. Barradas served as an Assistant Professor at the University of Algarve, Portugal, imparting knowledge in the fields of Electrotechnical Engineering, Electronics, and Informatics.

📚 Research Focus:

Dr. Barradas has contributed significantly to the academic community with 15 articles published in specialized journals and 1 book. His research interests include Substation Automation Systems, Interoperability, Computer Networks, Optical Networks, and Routing Algorithms.

🌐 Affiliation & Projects:

Currently affiliated with the University of Algarve’s Center for Optoelectronics, Electronics, and Telecommunications, Dr. Barradas is involved in projects such as SensWorking, aiming to merge IoT with biological monitoring. He has also been part of strategic projects focusing on wireless mesh and sensor networks optimization.

Scopus Metrics:

  • 📝 Publications: 24 documents indexed in Scopus.
  • 📊 Citations: A total of 148 citations for his publications, reflecting the widespread impact and recognition of Dr. Mahrokh’s research within the academic community.

Publications Top Notes :

  1. DAG-Coder: Directed Acyclic Graph-Based Network Coding for Reliable Wireless Sensor Networks
    • Published in IEEE Access in 2020.
    • 6 citations.
  2. Design of network coding based reliable sensor networks
    • Published in Ad Hoc Networks in 2019.
    • 8 citations.
  3. A Bounded Heuristic for Collection-Based Routing in Wireless Sensor Networks
    • Published in IEEE Access in 2018.
    • 2 citations.
  4. GACN: Self-Clustering Genetic Algorithm for Constrained Networks
    • Published in IEEE Communications Letters in 2017.
    • 18 citations.
  5. Resource design in constrained networks for network lifetime increase
    • Published in IEEE Internet of Things Journal in 2017.
    • 10 citations.

 

 

 

 

 

 

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

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

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

👨‍🏫 Dr. Tomás de Jesús Mateo Sanguino is an Associate Professor at the University of Huelva, specializing in Electronics Engineering, Computer Systems, and Robotics. 🤖 With a diverse educational background including a PhD from the University of Huelva, he has been deeply involved in academia since 2004. 💼 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. 📈 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. 🛣️ Additionally, his dedication extends to promoting scientific culture through organizing events and conferences, notably the ongoing “ScienCity” conference since 2017. 🌟 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. 🎓 Dr. Mateo Sanguino’s work reflects his passion for advancing engineering education and contributing to cutting-edge research in his field.

🌐 Professional Profiles :

Google Scholar

Scopus

Orcid

📚 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)

🔍 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)

🌐 Research Focus:

Dr. Tomás de Jesús Mateo Sanguino is an Associate Professor at the University of Huelva, specializing in Communications and networking, Robotics, and Engineering teaching. 🤖📡 He has a Ph.D. in Systems Engineering and Automatics, a Master’s Degree in University Teaching, and a background in Electronics Engineering. 🎓 He has a strong research background, with numerous publications, patents, and active participation in various R&D projects. 💼🔬 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. 📚👥 He is passionate about promoting scientific, technological, and innovation culture, as evidenced by his role in organizing events like “ScienCity.” 🌐💡

🎓 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 “Robotic and High Energy Astrophysics” (TIC-189) of the Andalusian Research Plan (PAI), founder of “OnuRobotics” Spin-off (2009/12) with two awarded prizes, postdoctoral stay at EPFL (Switzerland)

💼 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 150K€ in aids, participated in the European COST action CA16222 “Wider Impacts and Scenario Evaluation of Autonomous and Connected Transport”, participated in 8 national R&D projects and 3 regional R&D projects, holds three patents relevant to the field

📝 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)

🏆 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

👥 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 “Science, Industrial and Environmental Technology”

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 62 documents indexed in Scopus.
  • 📊 Citations: A total of 864 citations for his publications, reflecting the widespread impact and recognition of Dr. Mateo Sanguino’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 1487 📖
    • h-index: 17 📊
    • i10-index: 31 🔍
  • Since 2018:
    • Citations: 576 📖
    • h-index: 13 📊
    • i10-index: 16 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

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 Domínguez, J.M., Mateo Sanguino, T.J., Redondo González, M.J., Fernández De Viana González, 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 pedestrian’s crossing intention detector based on fuzzy logic app (2021)
    • Journal: Sensors
    • Authors: Domínguez, 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: Domínguez, 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