Prof. Dr. Cheolhee Yoon | Autonomous Vehicle | Best Scholar Award

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Prof. Dr. Cheolhee Yoon | Autonomous Vehicle | Best Scholar Award

Prof. Dr. Cheolhee Yoon, Korean National Police University, South Korea

Prof. Dr. Cheolhee Yoon is a distinguished researcher, professor, and ICT project manager with over 20 years of experience in artificial intelligence, digital forensics, and autonomous vehicle technology. His career spans academia, law enforcement, and high-level technology policy, with expertise in AI-driven autonomous driving, cybersecurity, and machine learning. He has held faculty positions at prestigious institutions like Yonsei University and Dongguk University, contributing to AI, deep learning, and programming. Dr. Yoon has also played a crucial role in enhancing cybercrime investigation capabilities internationally. His work integrates advanced AI algorithms to improve object recognition and real-time processing in autonomous systems. His contributions have led to groundbreaking advancements in AI-driven transportation and digital security.

Professional Profile 🌍 

Scopus

Suitability for Best Scholar Award 🏆

Dr. Cheolhee Yoon is an exemplary candidate for the Best Scholar Award due to his extensive contributions to AI, digital forensics, and autonomous vehicle research. His work in applying Convolutional Neural Networks (CNNs) to improve real-time object detection has significantly advanced autonomous driving technology. As a professor and researcher, he has mentored students in AI, deep learning, and cybersecurity while actively participating in international collaborations. His hands-on experience in digital forensics and ICT systems in law enforcement has had a tangible impact on cybersecurity measures. With multiple research publications and contributions to AI-driven smart mobility, Dr. Yoon’s work aligns perfectly with the award’s vision of recognizing outstanding scholarly achievements.

Education 🎓

Dr. Yoon’s academic journey reflects his deep commitment to technological advancements. He earned his Bachelor’s degree in Software Information Systems from Hansung University, Seoul (2004), followed by a Master’s degree in Digital Forensics from Korea University (2016). His Ph.D. in Technology Policy from Yonsei University (2023) focused on AI-driven solutions for autonomous vehicles. His multilingual proficiency and international training in the UK and China further strengthened his research acumen. Additionally, his certifications in Cisco networking, cybersecurity, and Java programming have complemented his academic expertise, making him a well-rounded scholar in AI, digital security, and autonomous systems.

Experience 💼

Dr. Yoon has over two decades of professional experience spanning law enforcement, academia, and ICT systems. He served in the Korean Police Agency’s ICT team (2005–2007), troubleshooting and managing advanced systems. His tenure at the Korean National Police University (2017) involved leading AI-based digital forensic research. As a professor at Yonsei University and Dongguk University (2019–present), he has taught courses on AI, deep learning, machine learning, and programming. He also worked on international cybercrime training programs, enhancing digital investigation capabilities. His industry expertise includes IBM server management, cybersecurity frameworks, and AI applications in autonomous driving, contributing to real-world technological advancements.

Awards and Honors 🏅

Dr. Yoon has received multiple accolades for his contributions to AI and cybersecurity. He was honored for his work in AI-based digital forensic research and awarded for developing an AI-driven road safety system that improved real-time object recognition in autonomous driving. His recognition includes excellence awards from the Korean Police Agency for ICT innovations and multiple best paper awards at international AI and digital security conferences. His contributions to cybersecurity training programs in the Philippines and Bangladesh CID Center further showcase his global impact. His expertise in AI-driven law enforcement solutions has earned him widespread recognition in both academia and industry.

Research Focus 🔬

Dr. Yoon’s research spans AI applications in autonomous vehicles, digital forensics, and cybersecurity. His work on Convolutional Neural Networks (CNNs) has improved vehicle and pedestrian detection in self-driving cars. He has also contributed to AI-based forensic tools for cybercrime investigations, optimizing data retrieval and fraud detection algorithms. His interdisciplinary approach combines AI, cybersecurity, and digital forensics to enhance autonomous systems’ safety and reliability. His work also explores reinforcement learning models for vehicle decision-making and AI-driven solutions for real-time road condition analysis. His groundbreaking research continues to drive innovation in AI-powered transportation and digital security.

Publication Top Notes 📊 

Leveraging Cyberattack News Tweets for Advanced Threat Detection and Classification using Ensemble of Deep Learning Models with Wolverine Optimization Algorithm

 

 

Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

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Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel, PNU, Mexico

Anthony Kyung Guzmán Leguel, originally from Busan, Korea, is a passionate electrical engineer dedicated to advancing technology for sustainable solutions. With a stellar academic background, he earned his Bachelor’s degree from ITESO (2014-2019) and is currently a GKS Scholar pursuing a Master’s in Electrical Engineering at PNU (2021-2024). Throughout his journey, Anthony has balanced academics with extracurricular activities, including teaching high school students about electrical systems and practicing Soo Bahk Do for 25 years. He has been recognized for his contributions to the field, showcasing an impressive blend of technical expertise and commitment to community engagement.

Professional Profile

Orcid

Recommendation for Anthony Kyung Guzmán Leguel for the Best Researcher Award

Anthony Kyung Guzmán Leguel is an exceptional candidate for the Best Researcher Award due to his extensive academic achievements, innovative research contributions, and significant industry experience in electrical engineering. His current pursuit of a Master’s degree at Pusan National University (PNU) as a GKS Scholar underscores his commitment to academic excellence, evidenced by a remarkable GPA of 9.6/10 during his Bachelor’s studies at ITESO.

🎓  Education 

Anthony began his educational journey at ITESO, where he earned a Bachelor’s degree in Electrical Engineering, graduating with a commendable GPA of 9.6/10 (2014-2019). He then became a GKS Scholar, pursuing a Master’s in Electrical Engineering at PNU from 2021 to 2024. During his Master’s program, he has engaged in cutting-edge research, particularly in areas related to reinforcement learning and V2X communications. This academic path reflects his commitment to both theoretical understanding and practical application, positioning him as a forward-thinking engineer poised to contribute to renewable energy integration. Anthony’s bilingual skills in Spanish and English, along with his intermediate proficiency in Korean and French, further enhance his capacity for collaboration in diverse environments, emphasizing the global nature of modern engineering challenges.

💼  Experience 

Anthony’s professional experience includes significant roles at PNU’s Vialab, where he has worked on developing a V2X beaconing scheme using reinforcement learning. His contributions led to a notable reduction in computation time for CenterPoint 3D Object Detection, showcasing his ability to enhance technological efficiency. Before this, he interned and later became an engineer at Intel, contributing to the development of algorithms for multi-agent autonomous systems, thus significantly impacting the creation of intellectual property. His early career included a role at ITESO, where he reviewed embedded systems master thesis projects and taught high school students about electrical engineering applications. This blend of internships, academic projects, and teaching experiences has equipped Anthony with a robust skill set, allowing him to effectively navigate the challenges of modern electrical engineering and technology development.

🏅Awards and Honors 

Anthony’s dedication and achievements have garnered numerous accolades throughout his academic and extracurricular pursuits. Notably, he was inducted into the Tae Kwon Do Hall of Fame in 2013, reflecting his excellence in martial arts. As a member of the Mexican Technical Advisory Committee for Soo Bahk Do Moo Duk Kwan, he has demonstrated leadership and commitment to martial arts. His participation as a captain of ITESO University’s Tae Kwon Do team from 2017-2019 further showcases his ability to inspire and lead others. Additionally, Anthony’s work in electrical engineering has led to patents that contribute to advancements in autonomous systems and V2X communications. These accomplishments, alongside his role as a GKS Scholar, position him as a prominent figure in both sports and engineering, embodying a well-rounded individual dedicated to excellence in multiple arenas.

🌍 Research Focus 

Anthony’s research focus lies at the intersection of electrical engineering and innovative technology, particularly in the realm of renewable energy integration and autonomous systems. His current work at PNU’s Vialab involves utilizing reinforcement learning to enhance V2X communications, aiming to improve efficiency and reliability in connected vehicle networks. This work not only addresses the growing need for intelligent transportation systems but also aligns with global sustainability goals. Additionally, his research extends to 3D object detection, where he explores methods to reduce computational demands while maintaining accuracy, crucial for autonomous driving applications. By investigating decentralized trajectory planning and human-robot collaboration, Anthony aims to contribute to the development of smarter, more efficient systems that facilitate renewable energy solutions. His interdisciplinary approach, combining advanced algorithms with practical applications, positions him as a forward-thinking researcher poised to make significant impacts in the field of electrical engineering.

📖 Publication Top Notes

Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach

Mr. Xiaoyu Ding | Automotive Intelligence | Best Researcher Award

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Mr. Xiaoyu Ding | Automotive Intelligence | Best Researcher Award

Mr. Xiaoyu Ding | Automotive Intelligence | Best Researcher Award

Mr. Xiaoyu Ding is a Senior Engineer at SAIC Motor’s R&D Innovation Headquarters, specializing in automotive electrification and intelligence. He holds a bachelor’s degree from Nanjing University of Science and Technology and a master’s degree from Tongji University, where he is currently pursuing a doctoral degree in Vehicle Engineering. With over a decade of experience at SAIC Group, Mr. Ding has been instrumental in developing electric drive systems for innovative vehicles, including the Roewe eRX5 hybrid SUV and the SAIC Audi 800V high-voltage electric drive system. He has published five papers and filed numerous patents, focusing on electric vehicle innovation, propulsion system control, and intelligent vehicle actuators. His contributions have earned him the “Best Research Award” for his work on electric-drive-wheel development, underscoring his leadership in advancing intelligent vehicle technologies and shaping the future of electric mobility.

Professional Profile:

Orcid

Suitability for the Award:

Mr. Xiaoyu Ding’s extensive contributions to electric vehicle development, his innovation in electric drive systems, and his blend of academic research and practical industry experience make him an excellent fit for the Best Researcher Award. His work not only advances the field of EV technology but also has significant implications for sustainable transportation and intelligent automotive systems.

Education Background

He holds a bachelor’s degree from Nanjing University of Science and Technology and a master’s degree from Tongji University. Currently, he is pursuing a doctoral degree in Vehicle Engineering at Tongji University.

Professional Experience

With over a decade at SAIC Group, Mr. Ding has played a pivotal role in developing electric drive systems for innovative vehicles such as the Roewe eRX5 hybrid SUV and the SAIC Audi 800V high-voltage electric drive system.

Professional Designation

Mr. Xiaoyu Ding is a Senior Engineer at SAIC Motor’s R&D Innovation Headquarters, specializing in automotive electrification and intelligence.

Research & Development Contributions

Mr. Ding has made significant contributions to the field of electric vehicle technology, publishing five papers and applying for numerous patents. His current research interests include electric vehicle innovation, propulsion system control, intelligent vehicle actuators, and chassis-by-wire development.

Recognition and Awards

He was awarded the “Best Research Award” for his work on electric-drive-wheel development, recognized by Actuator for his contributions to the field.

🔧 Mr. Xiaoyu Ding’s expertise and leadership in automotive electrification are driving advancements in intelligent vehicle technologies, shaping the future of electric mobility.

Publication Top Note:

Comprehensive Analysis and Development of Electric-Drive-Wheel with Idler Gear

 

 

Dr. Hany Hassan | V2I Speed Warning Messages | Best Researcher Award

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Dr. Hany Hassan : V2I Speed Warning Messages

Dr. Hany Hassan, Louisiana State University, United States

✨ Dr. Hany Hassan is currently working as an assistant professor in transportation at the department of civil and environmental engineering, Louisiana State University, USA . Hany received his Ph.D. degree in Civil Engineering (transportation engineering with specialization in traffic safety) from the University of Central Florida (UCF), USA while; he was awarded his bachelor and master degrees in Civil Engineering from Ain Shams University, Egypt. 🎉💥

🌟 Dr. Hassan has over 20 years’ experience in the Transportation engineering field. He has served as an assistant professor of Transportation Engineering at Ain Shams University, Egypt and King Saud University, Saudi Arabia. Hany spent about five years in the private sector during working as projects manager of Transportation Engineering at Tatweer for Traffic Assets & Systems Operation and Management L.L.C., Abu Dhabi, UAE. During this period, he managed several projects related to roads design, traffic impact studies, Intelligent Transportation Systems, developing a GIS-based traffic safety management system for Abu Dhabi, and developing a national transportation tracking system for UAE.🌟

🎉⚡ Dr. Hassan has also more than 12 years’ experience in teaching undergraduate/graduate courses of transportation engineering including Traffic Safety, Highway Geometric Design, Structural Design of Highways pavement, Traffic Engineering, applications of statistics in Transportation Engineering and Surveying. In addition, Dr. Hassan has many influential papers published in the top Journals of Transportation Engineering including Accident Analysis and Prevention, Transportation Research C & F, Journal of Intelligent Transportation Systems, Journal of the Transportation Research Board, Journal of Safety Research and Journal of Transportation Safety and Security. ⚡💥

🌞 Currently, Dr. Hassan is serving as a Handling Editor or the Journal of Transportation Research Record. In addition he is currently serving at member and paper review coordinator of two TRB committees.
– TRB Standing Committee on Intelligent Transportation Systems, ACP15, and
– TRB Standing committee on Human Factors of Infrastructure Design and Operation, ACH40

Through his career, Dr. Hassan was awarded several academic prizes including the Intelligent Transportation Society of Florida scholarship (the Anne S. Brewer Scholarship), one of three recipients on the Florida state level. 🚀✨

🌐 Professional Profiles : 

Scopus

Google Scholar

ORCID

🏆 Award and Honors :

💥 Dr. Hany Hassan is celebrated for his outstanding contributions in the realm of Transportation Engineering, garnering recognition and accolades throughout his career. He stands as a nominee for the Civil department level award for an exceptional Ph.D. dissertation at the Faculty of Engineering, University of Central Florida, USA, showcasing the depth of his scholarly achievements. In March 2011, Dr. Hassan received the prestigious Arab American Community Center Endowed Scholarship in Orlando, underscoring his dedication to academic excellence and community engagement. Further adding to his accolades, he was honored as one of three recipients of the Intelligent Transportation Society of Florida scholarship (the Anne S. Brewer Scholarship) in December 2009, a testament to his prowess in the field of intelligent transportation. 🌟🎓

🧠 Research Interests 🔬🌐 :

🚗 Dr. Hany Hassan is a distinguished figure in the realm of Transportation Engineering, weaving his expertise across a dynamic tapestry of research interests. From delving into Traffic Safety to exploring the intricacies of Smart/Intelligent Transportation Systems, Dr. Hassan is at the forefront of the evolving landscape. His focus on Emerging Technologies in Transportation Engineering, including connected and autonomous vehicles and smart cities, reflects a commitment to shaping the future of mobility. With a keen eye for Highway Geometric Design and an understanding of Human factors and drivers’ behaviors, Dr. Hassan contributes to the development of roadways that prioritize both safety and efficiency. Engaging in Traffic Operation and Simulation, he navigates the complexities of urban traffic flow, while his exploration of Statistical Applications in Transportation Engineering adds a data-driven dimension to his impactful research. 🌐

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 26 documents indexed in Scopus.
  • 📊 Citations: A total of 674 citations for his publications, reflecting the widespread impact and recognition of Dr. Hany Hassan’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 1071 📖
    • h-index: 16 📊
    • i10-index: 18 🔍
  • Since 2018:
    • Citations: 777 📖
    • h-index: 14 📊
    • i10-index: 18 🔍

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

Publications ( Top Note ) :

1.  Real-time prediction of visibility-related crashes

Published Year: 2012, Journal: Transportation research part C: emerging technologies, Cited By: 153

2.  Analysis of drivers’ behavior under reduced visibility conditions using a Structural Equation Modeling approach

Published Year: 2011, Journal: Transportation research part F: traffic psychology and behaviour, Cited By: 117

3.  Predicting reduced visibility-related crashes on freeways using real-time traffic flow data

Published Year: 2013, Journal: Journal of safety research, Cited By: 105

4.  Exploring the safety implications of young drivers’ behavior, attitudes, and perceptions

Published Year: 2013, Journal: Accident Analysis & Prevention, Cited By: 105

5.  A deep learning based traffic crash severity prediction framework

Published Year: 2021, Journal: Accident Analysis & Prevention, Cited By: 74

6.  Estimation of real-time crash risk: are all freeways created equal?

Published Year: 2011, Journal: Transportation Research Record: Journal of the Transportation Research Board, Cited By: 57

7.  Driver behavior and preferences for changeable message signs and variable speed limits in reduced visibility conditions

Published Year: 2012, Journal: Journal of Intelligent Transportation Systems, Cited By: 53

8.  Investigation of drivers’ behavior towards speeds using crash data and self-reported questionnaire

Published Year: 2017, Journal: Accident Analysis & Prevention, Cited By: 51

9.  Exploring the risk factors associated with the size and severity of roadway crashes in Riyadh

Published Year: 2013, Journal: Journal of safety research, Cited By: 49

10.  Factors that influence older Canadians’ preferences for using autonomous vehicle technology: A structural equation analysis

Published Year: 2019, Journal: Transportation research record, Cited By: 42