Dr. Obada Al-Khatib | Network Security | Best Researcher Award

Dr. Obada Al-Khatib | Network Security | Best Researcher Award

Dr. Obada Al-Khatib, University of Wollongong in Dubai, United Arab Emirates

Dr. Obada Al-Khatib is an esteemed researcher and academic specializing in electrical and information engineering. He currently serves as an Assistant Professor and Discipline Leader for Electrical, Computer, and Telecommunications Engineering at the University of Wollongong Dubai. Holding a Ph.D. from The University of Sydney, he has made significant contributions to wireless networks, IoT applications, and AI-driven signal processing. With industry experience as an electrical engineer and memberships in IEEE and Engineers Australia, Dr. Al-Khatib bridges the gap between academia and industry. His dedication to research, mentorship, and technological advancements makes him a prominent figure in engineering education. โšก๐Ÿ“ก

๐ŸŒ Professional Profile:

Google Scholar

๐Ÿ† Suitability for Award

Dr. Obada Al-Khatib’s exceptional contributions to wireless networks, IoT applications, and AI-driven signal processing position him as an outstanding candidate for the Best Researcher Award. His research significantly enhances the optimization and security of modern communication networks, addressing global technological challenges. His leadership as Discipline Leader at the University of Wollongong Dubai demonstrates his commitment to education and innovation. With numerous publications, industry experience, and professional memberships, Dr. Al-Khatibโ€™s work has broad academic and industrial impact. Recognizing his achievements would highlight his role in advancing cutting-edge research in electrical and information engineering. ๐Ÿ†๐Ÿ“ถ

๐ŸŽ“ Educationย 

Dr. Obada Al-Khatib holds a Ph.D. in Electrical and Information Engineering from The University of Sydney, Australia (2015), where he focused on optimizing wireless networks and communication systems. He further pursued a Master of Education in Higher Education from the University of Wollongong, Australia (2017), enhancing his expertise in academic leadership and pedagogy. Additionally, he earned a Master of Engineering in Communication and Computer from the National University of Malaysia (2010), where he explored advanced networking technologies. His diverse educational background equips him with a unique combination of technical expertise and teaching excellence. ๐ŸŽ“๐Ÿ“ก

๐Ÿ”ฌ Experienceย 

Dr. Al-Khatib has extensive experience in both academia and industry. Since 2016, he has been an Assistant Professor at the University of Wollongong Dubai, where he also serves as Discipline Leader for Electrical, Computer, and Telecommunications Engineering (since 2022). His industry background includes working as an Electrical Engineer at CCIC in Qatar (2006-2009), gaining hands-on experience in large-scale engineering projects. He has also contributed to educational development by mentoring students and serving on university committees, shaping academic policies. His expertise in wireless networks, AI applications, and network security makes him a leader in the field. โšก๐Ÿ”ง

๐Ÿ… Awards and Honorsย 

Dr. Obada Al-Khatib has received numerous accolades for his contributions to research and academia. His work on wireless networks optimization and AI-driven signal processing has been recognized in IEEE conferences and journals. As an active IEEE member, he has contributed to high-impact publications and technical committees. His role as Discipline Leader at the University of Wollongong Dubai reflects his leadership and dedication to academic excellence. Additionally, his achievements in higher education development and mentoring have earned him recognition within the university. His expertise and contributions continue to influence the evolution of communication engineering. ๐Ÿ…๐Ÿ“ก

๐Ÿ“ถ Research Focusย 

Dr. Al-Khatib’s research spans wireless networks optimization, IoT applications, AI-driven signal processing, machine learning, mobile edge computing, and network security. His work focuses on enhancing network performance, ensuring secure communications, and leveraging AI for smarter signal processing. His studies in 5G/6G networks, cloud computing, and energy-efficient communications contribute to next-generation network advancements. Additionally, his research on IoT security and edge computing addresses challenges in data privacy and system resilience. By integrating AI and machine learning into wireless networks, Dr. Al-Khatib pioneers innovations that drive the future of smart connectivity. ๐ŸŒ๐Ÿ“ถ

๐Ÿ“–ย Publication Top Notesย 

  • Traffic Modeling and Optimization in Public and Private Wireless Access Networks for Smart Grids
    • Year: 2014
    • Citations: 30
  • Traffic Modeling for Machine-to-Machine (M2M) Last Mile Wireless Access Networks
    • Year: 2014
    • Citations: 29
  • Spectrum Sharing in Multi-Tenant 5G Cellular Networks: Modeling and Planning
    • Year: 2018
    • Citations: 26
  • Queuing Analysis for Smart Grid Communications in Wireless Access Networks
    • Year: 2014
    • Citations: 10
  • Pursuit Learning-Based Joint Pilot Allocation and Multi-Base Station Association in a Distributed Massive MIMO Network
    • Year: 2020
    • Citations: 8

 

Prof. Yi-Nan Xu | In-Vehicle Network Security | Best Researcher Award

Prof. Yi-Nan Xu | In-Vehicle Network Security | Best Researcher Award

Prof. Yi-Nan Xu, College of Engineering/Yanbian University, China

Prof. Yi-Nan Xu is a distinguished professor in the Department of Electronics and Communication Engineering at the College of Engineering, Yanbian University, China ๐Ÿ“š. With a profound expertise in automotive electronic control and in-vehicle communication networks, he has made significant contributions to these fields, particularly in system-level chip design and automotive safety ๐ŸŒŸ. Professor Xu’s research prowess is evidenced by his authorship of over 50 SCI/EI papers, focusing on fault-tolerant control, communication networks, and intelligent transportation systems ๐Ÿ”ฌ. He has also led prestigious national and provincial projects, advancing fault tolerance mechanisms and security protocols in automotive systems, thus shaping the landscape of automotive technology research and development in China.

๐ŸŒ Professional Profile:

Orcid

Scopus

๐Ÿ“š Education and Experience

Yi-Nan Xu is a distinguished professor in the Department of Electronics and Communication Engineering at the College of Engineering, Yanbian University. With a robust background in automotive electronic control and in-vehicle communication networks, he has dedicated his career to advancing these fields. His expertise extends to system-level chip design, contributing significantly to the intersection of technology and automotive safety.

๐ŸŒŸ Academic Achievements

Professor Xu has authored over 50 SCI/EI papers, focusing on fault-tolerant control, communication networks, and intelligent transportation systems. His research has garnered acclaim and has been pivotal in shaping the understanding and development of automotive systems.

๐Ÿ”ฌ Research Leadership

He has led multiple prestigious projects, including three national natural science fund projects on fault tolerance mechanisms in automotive systems and security protocols for on-board networks. His contributions also extend to the “Twelfth Five Year Plan” science and technology research project of Jilin Provincial Department of Education, where he focused on the design of on-board communication network systems.

Publication Top Notes:

  • Arduino-based Omnidirectional Mobile Intelligent Vehicle Control System
    • Conference: Proceedings – 2023 3rd International Conference on Robotics, Automation and Intelligent Control, ICRAIC 2023
    • Year: 2023
  • Analysis on Network Security of Intelligent Connected In-vehicle Bus
    • Conference: Proceedings of SPIE – The International Society for Optical Engineering
    • Year: 2023
  • Intelligent Connected Vehicle CAN-FD Bus Network Security Protocol
    • Conference: Proceedings – 2023 International Conference on Mobile Internet, Cloud Computing and Information Security, MICCIS 2023
    • Year: 2023
  • Dynamic Rearrangement Compression Algorithm for Intelligent Connected Vehicles
    • Journal: IEEE Transactions on Vehicular Technology
    • Year: 2022
  • Research of CAN Bus Information Anomaly Detection Based on Convolutional Neural Network
    • Journal: International Journal of Computer Theory and Engineering
    • Year: 2021

 

 

Prof. Hao Tian | Communication security | Best Researcher Award

Prof. Hao Tian | Communication security | Best Researcher Award

Prof. Hao Tian, Hubei Key Laboratory of Digital Finance Innovation, China

Prof. Hao Tian received the Ph.D. degrees in Cartography and Geographic information Engineering from Wuhan University, Wuhan, China, in 2014. He currently works as a professor in the School of Information Engineering, Hubei University of Economics, Wuhan. His main research directions are machine learning, computational intelligence, semantic technology, etc. In recent years, he has hosted and participated in 12 scientific research projects such as the National Natural Science Foundation and the Hubei Provincial Natural Science Foundation.

๐ŸŒ Professional Profile:

Orcid

๐ŸŽ“ Education:

Ph.D. in Cartography and Geographic Information Engineering, Wuhan University, 2014

๐Ÿ” Research Interests:

Hao Tian’s primary research interests lie in machine learning, computational intelligence, and semantic technology.

๐Ÿ”ฌ Research Accomplishments:

He has an extensive research portfolio, having hosted and participated in 12 scientific research projects, including those funded by the National Natural Science Foundation and the Hubei Provincial Natural Science Foundation.

๐Ÿ“š Publications:

Hao Tian has authored 2 academic monographs and published over 30 papers in prestigious domestic academic journals such as “Applied Energy”, “IEEE Transactions on Geoscience and Remote Sensing”, and “Process Safety and Environmental Protection”. His contributions have been recognized with ESI Highly Cited awards three times and he has a selected ESI Hot Paper to his credit.

Scopus Metrics:

  • ๐Ÿ“ย Publications: 14 documents indexed in Scopus.
  • ๐Ÿ“Šย Citations: A total of 188 citations for his publications, reflecting the widespread impact and recognition of Prof. Hao Tianโ€™s research within the academic community.

Publication Top Notes:

  1. Title: Hemisphere-separated Cross-connectome Aggregating Learning via VAE-GAN for Brain Structural Connectivity Synthesis
    • Journal: IEEE Access
    • Year: 2023
  2. Title: Bi-objective optimization and environmental assessment of SOFC-based cogeneration system: performance evaluation with various organic fluids
    • Journal: Process Safety and Environmental Protection
    • Year: 2023
  3. Title: Blend of flue gas from a methane-fueled gas turbine power plant and syngas from biomass gasification process to feed a novel trigeneration application: Thermodynamic-economic study and optimization
    • Journal: Energy
    • Year: 2023
  4. Title: Hybrid Memetic Pretrained Factor Analysis-Based Deep Belief Networks for Transient Electromagnetic Inversion
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Year: 2022