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 đź’Ľ

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

 

 

Assist Prof Dr. Inam Ullah | Internet of Vehicles | Best Researcher Award

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Assist Prof Dr. Inam Ullah | Internet of Vehicles | Best Researcher Award

Assist Prof Dr. Inam Ullah, Shenzhen University, China

Dr. Inam Ullah, currently at Gachon University, South Korea, holds a Ph.D. in Information & Communication Engineering from Hohai University, China, specializing in adaptive techniques for mobile robot localization. His extensive academic and professional background includes roles as a Postdoctoral Research Fellow at Chungbuk National University, South Korea, and a Project Consultant/Advisor for AI and data science at the University of Dir, Pakistan. Dr. Ullah’s research spans IoT, robotics, autonomous vehicles, and AI, boasting a cumulative Impact Factor of 268.20 and over 23,000 Google Scholar citations. He has significantly contributed to top-tier journals as a guest editor and has received numerous awards, including the Jiangsu Province Distinguished International Students Award and the Distinguished Alumni Award from the University of Science & Technology Bannu.

🌍 Professional Profile:

Google Scholar
Orcid

Suitability Summary for Best Researcher Award

Dr. Inam Ullah demonstrates exceptional qualifications and achievements that make him a strong contender for the Best Researcher Award. His professional and academic journey is marked by significant contributions to the fields of AI, IoT, and data science, backed by a robust publication record and impactful research.

Academic and Professional Background

Dr. Inam Ullah has an impressive academic background, with a Ph.D. in Information & Communication Engineering from Hohai University, China, where he specialized in adaptive techniques for mobile robot localization. His education also includes an MS from the same institution, focusing on underwater localization algorithms, and a bachelor’s degree in Electrical Engineering from the University of Science & Technology Bannu, Pakistan.

Professional Experience

Dr. Ullah currently serves as an Assistant Professor in the Department of Computer Engineering at Gachon University, South Korea. He has also held significant roles as a Postdoctoral Research Fellow at Chungbuk National University, South Korea, and as a Project Consultant/Advisor for AI, Data Science, and Commercialization at the University of Dir, Pakistan. His teaching and research roles have spanned various institutions, including a notable tenure at Hohai University, China.

Research Contributions

Dr. Ullah’s research interests encompass a wide array of advanced topics including IoT, robotics, autonomous vehicles, wireless sensor networks, network security, computer vision, AI, and machine learning. His work has resulted in a cumulative Impact Factor (IF) of 268.20, with 23012 Google Scholar citations, an h-index of 28, and an i10-index of 51. These metrics underscore his research’s widespread recognition and influence.

Publications and Editorial Roles

Dr. Ullah has been an active contributor to top-tier journals and conferences. He has served as a guest editor for several high-impact journals, such as “Computers in Human Behavior,” “Sensors,” “Journal of Marine Science and Engineering,” and “Electronics.” His editorial contributions have furthered the discourse in critical areas like AI, big data analytics, and underwater sensor networks.

Awards and Honors

Dr. Ullah’s excellence in research and academics has been recognized through various awards and honors. Notable among these are the Jiangsu Province Distinguished International Students Award, the Top-100 Outstanding Students Award at Hohai University, and the Distinguished Alumni Award from the University of Science & Technology Bannu.

Publication Top Notes:

  • Title: A Localization Based on Unscented Kalman Filter and Particle Filter Localization Algorithms
    • Citations: 147
    • Year: 2019
  • Title: Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces
    • Citations: 145
    • Year: 2019
  • Title: Localization and Detection of Targets in Underwater Wireless Sensor Using Distance and Angle-Based Algorithms
    • Citations: 132
    • Year: 2019
  • Title: Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network
    • Citations: 86
    • Year: 2021
  • Title: A Multi-Layer Cluster-Based Energy Efficient Routing Scheme for UWSNs
    • Citations: 79
    • Year: 2019

 

Mr. Jakob Zahler | Integration of electromobility | Best Researcher Award

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Mr. Jakob Zahler | Integration of electromobility | Best Researcher Award

Mr. Jakob Zahler, RWTH Aachen University, Germany

Mr. Jakob Zahler, a distinguished Master’s graduate in Industrial Engineering with a focus on Electrical Power Engineering from RWTH Aachen University, is currently a Research Associate and Senior Research Associate at the Research Centre for Energy Economics (FfE) in Munich. His master’s thesis on the impact of cyber attacks on system stability received top honors. With international study experiences at École Centrale d’Électronique and Universidad Pontificia Comillas, Jakob has interned at Artelys in Paris and held research positions at RWTH Aachen University and Enercon GmbH. Proficient in multiple technical skills and languages, he is also known for his volunteer work, including founding studifoto.de and organizing camps in Peru. His interests include bouldering, photography, and mountaineering.

🌍 Professional Profile:

Orcid

🎓Education :

Jakob Zahler completed his Master’s degree in Industrial Engineering, specializing in Electrical Power Engineering, at RWTH Aachen University (2018-2021) with distinction. His master’s thesis, “Assessment of the Effects of Cyber Attacks on System Stability,” earned a perfect score. He also studied at École Centrale d’Électronique in Paris (2020) and Universidad Pontificia Comillas in Madrid (2018), focusing on Connected Objects and Environmental Policy. Jakob holds a Bachelor’s degree from RWTH Aachen (2017) and completed his Abitur and BaccalaurĂ©at at Gymnasium Johanneum Homburg (2013).

🏢 Professional Experience :

Jakob currently serves as a Research Associate and Senior Research Associate at the Research Centre for Energy Economics (FfE) in Munich. His work includes integrating small-scale flexibilities into distribution grids and evaluating electromobility use cases. He interned at Artelys in Paris, contributing to European transmission system models and studies on hydrogen use and offshore wind. Jakob’s previous roles include research positions at RWTH Aachen University and a trainee position at Enercon GmbH.

đź’»Technical Skills :

Jakob is skilled in various software and programming languages, including Excel, VBA, LaTeX, C++, Matlab, Python, and LabView. He is proficient in Spanish, French, and English.

🌍 Volunteer Work :

Jakob has a strong background in volunteer work, including founding studifoto.de, a student initiative providing professional application photos on a donation basis, and working with Misioneros del Sagrado CorazĂłn in Peru, where he organized holiday camps for disadvantaged children.

🧗Interests :

Jakob enjoys bouldering, photography (with exhibitions in Paris, Madrid, and Aachen), and travel and mountaineering.

Publication Top Notes:

  • Title: Unlocking the Potential: An In-Depth Analysis of Factors Shaping the Success of Smart and Bidirectional Charging in a Cross-Country Comparison
  • Year: 2024