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:

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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.

šŸŽ“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.

šŸ¢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.

šŸ…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.

šŸ”¬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

 

 

Assoc Prof Dr. Jerzy Domżał | SDN controllers | Best Researcher Award

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Assoc Prof Dr. Jerzy Domżał | SDN controllers | Best Researcher Award

Assoc Prof Dr. Jerzy Domżał, AGH University of Krakow, Poland

Dr. Domżał is a distinguished academic in Telecommunications with a robust educational background, including a Masterā€™s, Ph.D., and Habilitation from AGH University of Krakow. As the Director of the Institute of Telecommunications since 2020, he has demonstrated significant leadership and expertise. His research, which addresses critical issues in optical networks and future internet technologies, is reflected in over 35 published articles, two patents, and three authored books. Dr. Domżał’s involvement in major European research projects and his numerous accolades, including scholarships from the Polish Minister of Science and Higher Education and a science award from POLITYKA magazine, underscore his contributions to advancing telecommunications infrastructure. His roles on various organizational committees further highlight his active engagement in the research community.

Professional Profile:

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Suitability for the Award

Dr. Jerzy Domżał is exceptionally suited for the Research for Best Researcher Award due to his extensive research experience, impactful contributions to the field of telecommunications, and leadership roles in both academic and professional settings. His work on network congestion control, optical networks, and flow-aware networks aligns well with the award’s criteria, showcasing his dedication to advancing telecommunications research.

Educational Background:

Dr. Domżałā€™s educational qualifications include a Masterā€™s degree, Ph.D., and Habilitation in Telecommunications from AGH University of Krakow, showcasing a strong academic foundation in his field.

Professional Experience and Leadership:

His career trajectory includes roles as Research Assistant, Assistant Professor, and Associate Professor at AGH University of Krakow. He has served as the Director of the Institute of Telecommunications since 2020, reflecting his leadership and expertise in the field.

Research Contributions and Projects:

Dr. Domżał has been involved in several significant European research projects (e.g., Nobel, SmoothIT, EuroNF, e-Photon/ONe(+), BONE), focusing on optical networks, traffic engineering, and future internet technologies. His research addresses critical issues like network congestion control and flow-based services, which are crucial for advancing telecommunications infrastructure.

Publications and Patents:

He has published over 35 articles in JCR-listed journals, contributed to two patents and seven patent applications, and authored three books. His work has been recognized with numerous citations, highlighting the impact and relevance of his research.

Awards and Recognitions:

Dr. Domżał has received several prestigious awards, including scholarships from the Polish Minister of Science and Higher Education, a grant from the National Centre for Research and Development, and a science award from POLITYKA magazine. These accolades reflect his outstanding contributions to the field.

Organizational and Committee Roles:

His roles as Co-chair for GLOBECOM symposia, Local Organizing Committee Chair for ITC’2012, and member of technical program committees for IEEE conferences demonstrate his active engagement in shaping the research landscape and contributing to the advancement of telecommunications.

Publication Top Notes:

  • Title: A Survey on Methods to Provide Multipath Transmission in Wired Packet Networks
    • Year: 2015
    • Cited by: 36
  • Title: New Congestion Control Mechanisms for Flow-Aware Networks
    • Year: 2008
    • Cited by: 27
  • Title: QoS-Aware Net Neutrality
    • Year: 2009
    • Cited by: 25
  • Title: A Survey on Methods to Provide Interdomain Multipath Transmissions
    • Year: 2016
    • Cited by: 24
  • Title: Flow-Aware Multi-Topology Adaptive Routing
    • Year: 2014
    • Cited by: 24

 

Dr. Adnene Arbi | AI in Networking | Excellence in Research

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Dr. Adnene Arbi | AI in Networking | Excellence in Research

Dr adnene arbi , EPT, Tunisia

Dr. Adnene Arbi, an Assistant Professor at the National School of Advanced Sciences and Technologies at Borj Cedria and a member of the Laboratory of Engineering Mathematics at Polytechnic School of Tunisia, is a prominent researcher in applied mathematics. His work is recognized for its depth in areas such as robust control, synchronization, time scale spaces, and dynamical systems. With more than 26 peer-reviewed publications, he is a distinguished figure in his field, contributing to both academic and practical advancements in mathematics.

Professional Profile:

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Suitability for the Research for Best Researcher Award

Dr. Adnene Arbi is exceptionally well-suited for a Research Excellence Award due to his comprehensive expertise, innovative contributions, and significant impact in the field of applied mathematics. His research encompasses a broad range of complex topics, including robust control, synchronization of neural networks, and time scale spaces, demonstrating a deep understanding of both theoretical and practical aspects of mathematics.

Dr. Arbi’s work is distinguished by his innovative methodologies and solutions to challenging mathematical problems. For instance, his development of a new technique for optimizing parameters in Support Vector Machines (SVM) during his Masterā€™s studies highlights his capacity for pioneering research that addresses critical issues in computational mathematics. His subsequent research on the stability of Hopfield-type neural networks and his exploration of oscillatory systems and delayed differential equations further underscore his innovative approach and expertise.

Academic Background šŸ“š

Dr. Arbi’s academic journey is marked by excellence. He achieved his Habilitation in Applied Mathematics from the Preparatory Institute for Scientific and Technical Studies, University of Carthage in 2023, with a focus on functional spaces of oscillatory type and delayed dynamical models. His Ph.D. from the Faculty of Sciences of Bizerta in 2014 concentrated on the stability of Hopfield-type neural network models. Earlier, he earned a Master’s in Engineering of Mathematics and a Bachelor’s in Applied Mathematics, both from the University of Carthage, showcasing a strong foundation in mathematical theory and application.

Professional Experience šŸ’¼

Dr. Arbi is an Assistant Professor at the National School of Advanced Sciences and Technologies at Borj Cedria and serves as a member of the Laboratory of Engineering Mathematics at the Polytechnic School of Tunisia. His professional roles include teaching various mathematics modules, ranging from analysis and numerical methods to data mining and simulation. He also holds editorial positions with several international journals, demonstrating his influence in the field.

Research Interests and Contributions šŸ”¬

Dr. Arbi’s research interests are broad and impactful, encompassing robust control, time scale spaces, stochastic and time-delay systems, and neural networks. His work often explores the dynamics of complex systems and their optimization, contributing to the theoretical and practical advancements in these areas. His research also delves into algorithm development and artificial intelligence, further broadening his impact.

Awards and Recognitions šŸ†

Dr. Adnene Arbi has garnered significant recognition throughout his academic career, reflecting his exceptional contributions to the field of applied mathematics. Notable among his accolades is the very honorable mention for his Habilitation in Applied Mathematics, awarded in 2023, which highlights his significant contributions to the study of functional spaces of oscillatory types and delayed dynamical models. Additionally, Dr. Arbi has received commendations for his doctoral research, which explored the stability of Hopfield-type neural networks, underscoring his expertise in both theoretical and applied mathematics. His role as a reviewer and editor for numerous high-impact journals also illustrates the esteem in which he is held by the academic community. These honors collectively underscore Dr. Arbi’s excellence in research and his influential role in advancing mathematical sciences.

Innovations and Impact šŸš€

Dr. Adnene Arbiā€™s innovation is highlighted by his development of novel techniques in parameter optimization for Support Vector Machines (SVM), enhancing machine learning efficiency. His work on oscillatory systems and time scale spaces introduces new analytical methods for dynamical systems. This innovation not only advances theoretical understanding but also has practical implications in control systems and artificial intelligence. Dr. Arbiā€™s contributions are widely recognized through his extensive publications and editorial roles, reflecting his significant impact on both academic research and real-world applications.

Publication Top Notes:

  1. Artificial Intelligence Techniques for Bankruptcy Prediction of Tunisian Companies: An Application of Machine Learning and Deep Learning-Based Models
    • Year: 2024
    • Journal: Journal of Risk and Financial Management
  2. Robust Model Predictive Control for Fractional-Order Descriptor Systems with Uncertainty
    • Year: 2024
    • Journal: Fractional Calculus and Applied Analysis
  3. Synchronization Analysis of Novel Delayed Dynamical Clifford-Valued Neural Networks on Timescales
    • Year: 2024
    • Journal: Journal of Algorithms and Computational Technology
  4. Morlet Wavelet Neural Network Investigations to Present the Numerical Investigations of the Prediction Differential Model
    • Year: 2023
    • Journal: Mathematics
  5. Designing a Bayesian Regularization Approach to Solve the Fractional Layla and Majnun System
    • Year: 2023
    • Journal: Mathematics
  6. Stability Analysis of Inertial Neural Networks: A Case of Almost Anti-Periodic Environment
    • Year: 2022
    • Journal: Mathematical Methods in the Applied Sciences
  7. Dynamics of Delayed Cellular Neural Networks in the Stepanov Pseudo Almost Automorphic Space
    • Year: 2022
    • Journal: Discrete and Continuous Dynamical Systems – Series S

Dr. Yasir AlKubaisi | Efficient Networking | Best Researcher Award

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Dr. Yasir AlKubaisi | Efficient Networking | Best Researcher Award

Dr. Yasir AlKubaisi, Dubai Academic Health Corporation, United Arab Emirates

Dr. Yasir AlKubaisi is a distinguished electrical engineer and sustainable energy expert currently serving at the Dubai Academic Health Corporation, UAE. With a Ph.D. in Electrical Engineering from University Putra Malaysia, his research has significantly advanced energy harvesting systems. He also holds an MSc in Computer Engineering and a BSc in Electrical and Computer Engineering from the University of Technology, Baghdad. Since 2009, Dr. AlKubaisi has been pivotal in implementing sustainable projects within Dubai’s healthcare sector, including the Sustainable Blood Donation Bus. His extensive skills in project management, data analysis, and system design are complemented by his proficiency in LEED standards and various technical tools like MATLAB and AutoCAD. Recognized with numerous awards, including the MDIP Best Researcher Award in 2024, Dr. AlKubaisi’s work focuses on sustainable energy, electrical and control engineering, and robotics and automation.

Professional Profile:

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šŸŽ“ Education:

PhD: Electrical Engineering, University Putra Malaysia (UPM), May 2020.,Dissertation: “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building.”,MSc: Computer Engineering, University of Technology, Baghdad, Iraq, May 2005.,BSc: Electrical and Computer Engineering, University of Technology, Baghdad, Iraq, June 1994

šŸ’¼ Work Experience:

Dubai Academic Health Corporation, Dubai, UAE (2009-present):,Sustainable Engineer, Corporate Environmental Health-Safety & Sustainability Dept.,Key projects include the Sustainable Blood Donation Bus and various energy-saving initiatives.,Dubai Health Authority, Dubai, UAE (2009-2017),Various roles in the Engineering Department, focusing on project management, sustainability, and quality control.,Higher Education Computer Center, Iraq (1994-2007):,Significant experience in overseeing design solutions and managing technical teams.

šŸŒ Skills:

  • trong project management and technical skills including data analysis, system design, and process improvement.
  • Proficient in LEED standards, ISO, and JCI requirements for healthcare buildings.
  • Skilled in MATLAB, MS Office Suite, AutoCAD, and 3D Max

šŸ† Awards & Recognition:

  • MDIP Best Researcher Award, International Research Awards on Sensing Technology, 2024
  • Reviewer Recognition, Elsevier “Journal of Cleaner Production”, 2023
  • Various Certificates of Appreciation from Dubai Health Authority for environmental and sustainability contributions.

šŸ” Research Focus:

Publication Top Note:

 

 

 

Dr. Hossam Nada | Network Protocol Awards | Young Scientist Award

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Dr. Hossam Nada | Network Protocols Awards | Young Scientist Award

Dr. Hossam Nada, Dongguk University, South Korea

šŸŽ“ Dr. Hossam Nada is a distinguished scholar in Medicinal Chemistry, holding a Ph.D. from Dongguk University, South Korea. He has further honed his expertise with an M.A. in Pharmaceutical Sciences and a Bachelor of Pharmacy from Cairo University. Currently serving as a Postdoctoral Fellow at Dongguk University, Goyang-si, South Korea, Dr. Nada has previously undertaken roles as a Graduate Researcher and Assistant Lecturer. His academic journey is adorned with accolades, including the Korean Government Scholarship and Dongguk University Research Excellence Award, underscoring his commitment to excellence in research and academia. šŸ†šŸ”¬

šŸŒ Professional Profile:

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šŸ‘Øā€šŸŽ“ Education:

  • Ph.D. in Medicinal Chemistry from Dongguk University (2023)
  • M.A. in Pharmaceutical Sciences from Cairo University (2018)
  • Bachelor of Pharmacy from Cairo University (2012)

šŸ’¼ Experience:

  • Postdoctoral Fellow: Dongguk University, Goyang-si, South Korea (09/2023 – Present)
  • Graduate Researcher: Dongguk University, Goyang-si, South Korea (09/2020 – 08/2023)
  • Assistant Lecturer: Badr University, Cairo (09/2017 – 08/2019)
  • Teaching Assistant: Helioplis University, Cairo (09/2014 – 08/2017)

šŸ† Awards and Grants:

  • Korean Government Scholarship (2019-2023)
  • Dongguk University Research Excellence Award (2023)
  • Korean Government Best Academic Performance Award (2022, 2021)
  • Dongguk Univ. Research Fund of 2023

Publication Top Notes:

  • Small Molecule c-KIT Inhibitors for the Treatment of Gastrointestinal Stromal Tumors: A Review on Synthesis, Design Strategies, and Structureā€“Activity Relationship (SAR)
    • Published in International Journal of Molecular Sciences, 2023.
    • Citations: 2
  • Design, Synthesis and Biological Evaluation of Novel MDH Inhibitors Targeting Tumor Microenvironment
    • Published in Pharmaceuticals, 2023.
    • Citations: 1
  • Perspective for Discovery of Small Molecule IL-6 Inhibitors through Study of Structure-Activity Relationships and Molecular Docking
    • Published in Journal of Medicinal Chemistry, 2023.
    • Citations: 9
  • Discovery and optimization of natural-based nanomolar c-Kit inhibitors via in silico and in vitro studies
    • Published in Journal of Biomolecular Structure and Dynamics, 2023.
    • Citations: 6
  • Novel cudraisoflavone J derivatives as potent neuroprotective agents for the treatment of Parkinson’s disease via the activation of Nrf2/HO-1 signaling
    • Published in European Journal of Medicinal Chemistry, 2022.
    • Citations: 1

 

 

 

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

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Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu, Xidian University, China

šŸ‘©ā€šŸŽ“ Dr. Yuchuan Fu, a Ph.D. graduate in Telecommunications Engineering from Xidian University (2020), is currently an Associate Professor at Xidian University’s School of Telecommunications Engineering. She pursued joint Ph.D. studies at Carleton University, Canada, and has garnered acclaim for her 47 publications in esteemed journals and conferences, earning accolades such as the Outstanding Doctoral Thesis Award and the Best Paper Award at DIVANet’23. Her expertise lies in Artificial Intelligence for Internet of Vehicles and Intelligent Transportation Systems, with notable contributions recognized by prestigious entities like the China Electronics Education Society. Dr. Fu’s impactful research, including 2 ESI highly cited papers and 1 hot paper, underscores her commitment to advancing telecommunications. šŸ†šŸ”šŸ“š

šŸŒĀ Professional Profiles :

Scopus

Google Scholar

šŸŽ“ Education:

Dr. Yuchuan Fu received her Ph.D. degree from Xidian University, China, in Telecommunications Engineering in 2020.

šŸ‘©ā€šŸ’¼ Experience:

She is currently serving as an Associate Professor at the School of Telecommunications Engineering, Xidian University, Shaanxi, China. Dr. Fu was a joint Ph.D. student with Carleton University, Canada, from 2018 to 2019.

šŸ† Achievements:

Dr. Fu’s research interests include AI for Internet of Vehicles, Internet of Things, and Intelligent Transportation Systems. She has published 47 papers in prestigious journals and conferences, with several being highly cited. Her research has earned her recognition through numerous awards, including the Outstanding Doctoral Thesis Award and Best Paper Awards at international conferences.

šŸ”¬ Research Focus:

Her current academic focus lies in the areas of Internet of Vehicles and Intelligent Transportation Systems.

šŸ“š Notable Honors:

  • Outstanding Doctoral Thesis Award (China Electronics Education Society, 2020)
  • Outstanding Achievement Award (Special Prize, Shaanxi Higher Education Institutions Science and Technology Research, 2022)
  • Best Paper Award (DIVANetā€™23 International Conference)
  • Best Demo Award Winner (12th NEEE/CIC International Conference on Communications in China)
  • Best Student Paper Award (ADHOCNETS 2018 International Conference)

šŸ“šĀ Publication Impact and Citations :

Scopus Metrics:

  • šŸ“Ā Publications: 45 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 648 citations for his publications, reflecting the widespread impact and recognition of Dr. Yuchuan Fuā€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 911 šŸ“–
    • h-index: 15Ā  šŸ“Š
    • i10-index: 18 šŸ”
  • Since 2018:
    • Citations: 899 šŸ“–
    • h-index: 15 šŸ“Š
    • i10-index: 18 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publications Top Notes :

  1. Vehicle position correction: A vehicular blockchain networks-based GPS error sharing framework
    • Published in IEEE Transactions on Intelligent Transportation Systems in 2020.
    • 113 citations.
  2. A decision-making strategy for vehicle autonomous braking in emergency via deep reinforcement learning
    • Published in IEEE Transactions on Vehicular Technology in 2020.
    • 100 citations.
  3. Vehicular blockchain-based collective learning for connected and autonomous vehicles
    • Published in IEEE Wireless Communications in 2020.
    • 95 citations.
  4. A mobility-aware vehicular caching scheme in content centric networks: Model and optimization
    • Published in IEEE Transactions on Vehicular Technology in 2019.
    • 90 citations.
  5. A survey of blockchain and intelligent networking for the metaverse
    • Published in IEEE Internet of Things Journal in 2022.
    • 78 citations.