Rasha Al-Huthaifi - Transportation - Best Researcher Award

Southwest Jiaotong University - China

AUTHOR PROFILE

GOOGLE SCHOLAR

RASHA AL-HUTHAIFI: INNOVATIVE RESEARCHER IN MACHINE LEARNING AND CYBERSECURITY 🌟

EDUCATION AND EARLY CAREER JOURNEY 🎓

Rasha Al-Huthaifi is a dedicated researcher and educator with a robust background in computer science and engineering. She earned her Bachelor's degree from Sanaa University, where she excelled in teaching Object Oriented Programming using C#. Her academic journey continued with a Master's degree, focusing on enhancing antivirus security systems through innovative memory on-access scanner technologies. This groundbreaking work led to publications in prestigious journals and conferences, including the International Conference on Computer Science, Computer Engineering and Education Technologies.

EXPERTISE IN MACHINE LEARNING AND CYBERSECURITY 🔍

Rasha's expertise spans across a wide range of technologies and methodologies essential for modern cybersecurity and machine learning applications. Her proficiency includes Python programming, federated learning, and the development of secure traffic flow prediction systems using graph-based models. She has also contributed significantly to projects in data mining, bioinformatics, and information retrieval, demonstrating a versatile skill set in tackling complex technological challenges.

SIGNIFICANT PROJECT CONTRIBUTIONS 🚀

Throughout her career, Rasha has spearheaded numerous impactful projects. These include the development of FedAGAT and FedGODE systems for real-time traffic flow prediction in smart cities, leveraging federated learning and graph-based models to ensure privacy and efficiency. Her contributions extend to cybersecurity innovations such as antivirus enhancements and anti-copying software, addressing critical security vulnerabilities in software applications.

ACADEMIC AND PROFESSIONAL ENGAGEMENTS 💼

Rasha's professional journey includes roles as a PhD student at Southwest Jiaotong University, where she continues to contribute to cutting-edge research initiatives. Previously, she served as a Teacher Assistant at Jordan University of Science and Technology, imparting her knowledge in programming labs and mentoring students in computer science fundamentals.

RESEARCH IMPACT AND PUBLICATIONS 📚

Rasha's research has been published in reputable journals and conferences, highlighting her dedication to advancing the field of cybersecurity and machine learning. Her work on automatic Arabic multi-document summarizers and glaucoma disease detection algorithms reflects her commitment to leveraging technology for societal benefit and healthcare advancements.

AWARDS AND RECOGNITIONS 🏆

Rasha's academic achievements include the distinction of having the best graduation project in her Bachelor's program, showcasing her innovative spirit and academic excellence. Her contributions to cybersecurity and machine learning have earned her recognition within the academic community, underscoring her leadership and impact in the field.

FUTURE DIRECTIONS AND INNOVATIONS 🌐

Looking ahead, Rasha remains committed to pushing the boundaries of cybersecurity and machine learning research. Her future endeavors aim to integrate emerging technologies and methodologies to address global cybersecurity challenges and enhance the efficiency of machine learning applications in various domains.

NOTABLE PUBLICATION

FedAGAT: Real-time traffic flow prediction based on federated community and adaptive graph attention network 2024 (1)

Authors: Rasha Al-Huthaifi, Tianrui Li, Zaid Al-Huda, Chongshou Li

Publication date: 2024/5/1

Journal: Information Sciences

Publisher: Elsevier

FedGODE: Secure traffic flow prediction based on federated learning and graph ordinary differential equation networks

Authors: Rasha Al-Huthaifi, Tianrui Li, Zaid Al-Huda, Wei Huang, Zhipeng Luo, Peng Xie

Publication date: 2024/6/10

Journal: Knowledge-Based Systems

Publisher: Elsevier

Federated learning in smart cities: Privacy and security survey 2023 (54)

Authors: Rasha Al-Huthaifi, Tianrui Li, Wei Huang, Jin Gu, Chongshou Li

Publication date: 2023/6/1

Source: Information Sciences

Publisher: Elsevier.

Enhancements of LEACH protocol: Security and open issues 2017 (12)

Authors: Muneer Bani Yassein, Shadi Aljawarneh, Rasha K Al-huthaifi

Publication date: 2017/8/21

Conference: 2017 International Conference on Engineering and Technology (ICET)

Publisher: IEEE

EARLY ACADEMIC PURSUITS

Maksym Diachuk initiated his academic journey with a Master's Degree in Mechanical Engineering, specializing in Automobile Transport, from the Prydniprovs’ka State Academy of Civil Engineering and Architecture, Ukraine. He further pursued a PhD in Motor Vehicles and Tractors from the Kharkiv National Automobile and Highway University, Kharkiv, Ukraine, focusing on automotive research and technology.

PROFESSIONAL ENDEAVORS

With over 20 years of experience, Maksym Diachuk has made significant contributions to the fields of automotive engineering and simulation. He has held various roles, including Mechanical Engineer at the Kremenchuk Automobile Plant, Simulation Engineer at the Yuzhnoye Design Office, and Mechanical Engineer at GG Freight Services Inc. and Always Moving Forward Inc. in Vaughan, ON, Canada.

CONTRIBUTIONS AND RESEARCH FOCUS

Maksym Diachuk's expertise lies in automotive design, vehicle dynamics, control systems, and autonomous vehicles. He has conducted extensive research and projects in these areas, focusing on mathematical modeling, simulations, algorithm development, and data analysis. His research publications and projects have contributed to advancements in autonomous transport, model predictive control, and vehicle dynamics.

IMPACT AND INFLUENCE

Maksym Diachuk's work has had a significant impact on the automotive industry, particularly in the development of autonomous vehicles and advanced control systems. His research publications, including papers on autonomous vehicle motion planning and trajectory optimization, have been widely recognized for their innovative approaches and practical implications.

ACADEMIC CITES

Maksym Diachuk's research publications have been cited by peers in the field, indicating the relevance and influence of his work in automotive engineering and simulation. His contributions to conferences, symposiums, and journals have facilitated knowledge exchange and collaboration within the academic and industrial communities.

LEGACY AND FUTURE CONTRIBUTIONS

As Maksym Diachuk continues to advance in his career, his legacy in the field of autonomous transport is expected to grow further. Through continued research, innovation, and industry collaboration, he aims to contribute to the development of safer, more efficient, and sustainable transportation systems. His future contributions hold the potential to shape the future of autonomous vehicles and revolutionize the automotive industry.