Dr. Ardalan Awlla | Machine Learning for Big Data | Best Researcher Award

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Dr. Ardalan Awlla| Machine Learning for Big Data | Best Researcher Award

Dr. Ardalan Awlla, Cihan University Sulaimaniya, Iraq

Dr. Ardalan Awlla is a dedicated computer science educator and researcher, currently pursuing his Ph.D. at Sulaimani Polytechnic University. With a Master’s in Computer Science from Nanjing University of Information Science and Technology (NUIST), where he earned the Outstanding International Graduate Student and Academic Excellence awards, Dr. Awlla has built a strong academic foundation. He has taught a wide range of subjects, including Software Engineering, System Integration, Game Programming, and Data Structures, as a faculty member at institutions such as the University of Human Development and Qaiwan International University. His research focuses on network and information security, machine learning, and big data, reflecting his commitment to advancing technology and education in the region.

Professional Profile:

Google Scholar
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Suitability for the Award:

Dr. Awlla’s focus on network security and machine learning applications demonstrates a commitment to solving critical technological issues that have both academic and practical significance. His achievements, particularly in botnet detection research, position him as an asset to the cybersecurity field. Additionally, his contributions to academic excellence in teaching core computer science subjects strengthen his candidacy, as he shapes the next generation of computer scientists with knowledge in current, high-demand areas.

Education & Expertise:

Dr. Taku Ito holds a Doctor of Medicine degree from Tokyo Medical and Dental University, where he has developed extensive expertise in Otorhinolaryngology (ENT) and Cognitive-Behavioral Medicine applications in ENT care.

Professional Roles:

Currently serving as an Associate Professor in the Department of Otorhinolaryngology at Tokyo Medical and Dental University, Dr. Ito has previously held positions as an Assistant Professor and Visiting Lecturer in the same department, demonstrating his commitment to advancing ENT medicine and education.

Research Interests & Innovations:

His research focuses on clinical and surgical innovations in otolaryngology, improved imaging and diagnostic techniques, and the integration of cognitive-behavioral medicine within ENT. His work has driven forward critical improvements in surgical outcomes and diagnostic accuracy.

Achievements & Recognition:

With over 20 publications in peer-reviewed journals, numerous presentations at global conferences, and several research grants, Dr. Ito is a recognized leader in his field. He has also developed clinical protocols that significantly enhance patient outcomes in ENT surgeries.

Publications Top Notes:

  • Performance Analysis and Prediction Student Performance to build effective student Using Data Mining Techniques
    • Citations: 10
    • Year: 2019
  • Botnet detection based on genetic neural network
    • Citations: 9
    • Year: 2015
  • Prediction of CoVid-19 mortality in Iraq-Kurdistan by using Machine learning
    • Citations: 5
    • Year: 2021
  • Secure device to device communication for 5G network based on improved AES
    • Citations: 3
    • Year: 2021
  • A Hybrid Simulated Annealing and Back-propagation Algorithm for Feed-forward Neural Network to Detect Credit Card Fraud
    • Citations: 2
    • Year: 2017

 

 

 

Prof. Wan Quan Liu | Big Data Analysis | Best Researcher Award

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Prof. Wan Quan Liu | Big Data Analysis | Best Researcher Award

Prof. Wan Quan Liu, Sun Yat-sen University, China

Prof. Wan Quan Liu is a prominent professor at the School of Intelligent System Engineering at Sun Yat-sen University, where he has been serving since 2021. He earned his Ph.D. in Electrical Engineering from Shanghai Jiaotong University (1991-1993) and holds a Master of Science in Operational Research and Control from the Institute of Systems Science at the Chinese Academy of Science (1985-1988), as well as a Bachelor’s degree in Mathematics from Qufu Normal University (1981-1985). Previously, he was an ARC Fellow and Senior Lecturer at Curtin University of Technology from 2000 to 2021. Prof. Liu’s research focuses on computer vision, deep learning networks, optimization, and intelligent control systems, where he has made significant contributions that advance these fields.

Professional Profile

Scopus
Orcid

Suitability for the Best Researcher Award:

Prof. Wan Quan Liu’s combination of an extensive educational background, significant research contributions, and recognition in the form of awards makes him an excellent candidate for the Best Researcher Award. His work in computer vision, deep learning, and intelligent control systems is highly relevant in today’s technology-driven landscape, with implications for various sectors including robotics, automation, and artificial intelligence.

The recognition he has received, both at the national and provincial levels, further solidifies his status as a leading researcher in his field. His ongoing research and publications contribute to advancements in critical technologies, making a tangible impact on both academia and industry.

Educational Background:

Prof. Wan Quan Liu earned his PhD in Electrical Engineering from Shanghai Jiaotong University (1991-1993). He holds a Master of Science in Operational Research and Control from the Institute of Systems Science at the Chinese Academy of Science (1985-1988) and a Bachelor’s degree in Mathematics from Qufu Normal University (1981-1985).

Academic Experience:

Currently, Prof. Liu is a professor at the School of Intelligent System Engineering at Sun Yat-sen University (2021-present). Prior to this, he held various positions, including ARC Fellow and Senior Lecturer at Curtin University of Technology (2000-2021).

Research Interests:

Prof. Liu specializes in computer vision, deep learning networks, optimization, and intelligent control systems, contributing significantly to advancements in these fields.

Awards and Recognition:

His exceptional work has earned him several accolades, including:

  • 2023: National Talented Researcher from the National Education Committee
  • 2022: Pearl Leading Researcher from Guangdong Province

Publication Top Notes:

  • Title: AFS-FCM with Memory: A Model for Air Quality Multi-dimensional Prediction with Interpretability
    • Publication Year: 2024
  • Title: Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection
    • Publication Year: 2024
  • Title: Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification
    • Publication Year: 2024
  • Title: FedREM: Guided Federated Learning in the Presence of Dynamic Device Unpredictability
    • Publication Year: 2024
  • Title: Invertible Residual Blocks in Deep Learning Networks
    • Publication Year: 2024

 

Prof Dr. Weixu liu | Big Data Award | Best Researcher Award

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Prof Dr. Weixu liu | Big Data Award | Best Researcher Award

Prof Dr. Weixu liu, Anhui Medical University, China

Associate Professor Weixu Liu of Anhui Medical University’s Department of Computer Science earned his Ph.D. from Zhejiang University in 2022. Specializing in big data analysis, machine learning, non-destructive evaluation, and structural health monitoring, Dr. Liu has published over 20 peer-reviewed articles and holds numerous patents and software copyrights. A senior member of the China Instrument and Control Society and the Chinese Society for Vibration Engineering, he has been recognized with multiple teaching awards, including a third-class prize in Anhui Province. His leadership in significant projects, such as the Anhui Provincial Outstanding Young Talent Project, and his involvement in national key R&D plans underscore his impactful contributions to the field of computer science and engineering.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award

Assoc. Prof. Dr. Weixu Liu is a highly suitable candidate for the Research for Best Researcher Award due to his significant contributions to the fields of big data analysis, machine learning, non-destructive evaluation, and structural health monitoring. His academic achievements, extensive research activities, and innovative contributions highlight his excellence in research and development.

🎓 Academic Expertise

Associate Professor, Department of Computer Science, Anhui Medical University 🎓
Weixu Liu is an accomplished Associate Professor, Deputy Director, and Master Supervisor at Anhui Medical University’s Department of Computer Science. He earned his Ph.D. from Zhejiang University in 2022.

Research Interests and Contributions

Dr. Liu’s research focuses on big data analysis, machine learning, non-destructive evaluation, and structural health monitoring. He has published over 20 peer-reviewed journal articles and holds more than ten national invention patents, twenty utility model patents, and ten national computer software copyrights. His work has been supported by various government and corporate grants.

Professional Achievements

Dr. Liu is a senior member of the China Instrument and Control Society and a member of the Chinese Society for Vibration Engineering. He has received multiple awards for his teaching achievements, including a third-class prize in Anhui Province. He has led several significant projects, including Anhui Provincial Outstanding Young Talent Project and various municipal and national science and technology projects.

Innovations and Impact

Dr. Liu’s research has resulted in substantial scientific and technological advancements, including a conversion of achievements worth 500,000 RMB. His involvement in national key R&D plans and extensive project experience highlights his significant role in advancing the field of computer science and engineering.

Publication Top Notes:

  • Title: Multi-Feature Integration and Machine Learning for Guided Wave Structural Health Monitoring: Application to Switch Rail Foot
    • Citations: 20
    • Year: 2021
  • Title: Numerical Investigation of Locating and Identifying Pipeline Reflectors Based on Guided-Wave Circumferential Scanning and Phase Characteristics
    • Year: 2020
    • Open Access: Yes
  • Title: Sprouting Potato Recognition Based on Deep Neural Network GoogLeNet
    • Citations: 5
    • Year: 2018
  • Title: Phase Characteristic Analysis and Experimental Study on the Guided Wave Reflected from Expressway Guardrail Posts
    • Citations: 3
    • Year: 2017
  • Title: Numerical Simulation and Experimental Investigation on Ultrasonic Guided Waves in Multilayered Pipes Based on SAFE
    • Citations: 14
    • Year: 2014

 

 

Prof. Jianfeng Guo | Big Data Analysis in Innovation | Best Researcher Award

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Prof. Jianfeng Guo | Big Data Analysis in Innovation | Best Researcher Award

Prof. Jianfeng Guo, University of Chinese Academy of Sciences, China

Prof. Jianfeng Guo is a distinguished professor at the Energy and Environmental Policy Research Center of the Institute of Policy and Management, Chinese Academy of Sciences (CAS), where he has been a key figure since 2010 and has served as a professor since 2018. He earned his Ph.D. in Mechanical Engineering and Automation from Zhejiang University in 2007 and completed postdoctoral research at Tsinghua University. Jianfeng’s research spans Energy and Environmental Policy, Big Data Analysis, Technology Foresight, Decision Support Systems, and Knowledge Management. He has led over 60 significant projects, including collaborations with Baidu Big Data Lab and Ant Financial Services Group, and has published more than 90 papers and holds multiple patents and software copyrights. His international experience includes visits to top institutions and collaborations with global software companies.

🌍 Professional Profile

Scopus

🎓 Education

Jianfeng Guo earned his Ph.D. in Mechanical Engineering and Automation from Zhejiang University in December 2007. He completed postdoctoral research at the CIMS Engineering Research Center of Tsinghua University from January 2008 to December 2009. He was a Senior Visiting Scholar at NEC China Research Institute from August 2009 to March 2010.

🔬 Research Interests

Jianfeng specializes in Energy and Environmental Policy, Big Data Analysis, Technology Foresight, Decision Support Systems, and Knowledge Management.

🏢 Current Position

Since March 2010, Jianfeng has been with the Energy and Environmental Policy Research Center of the Institute of Policy and Management, Chinese Academy of Sciences (CAS), where he has served as a professor since 2018. He is also the Director of the Research Department for Think Tank Construction at the Institutes of Science and Development, CAS.

🌐 Notable Projects & Collaborations

Jianfeng has led over 60 projects, including NSFC projects, national programs, and enterprise-commissioned projects. He has collaborated with Baidu Big Data Lab and Ant Financial Services Group, contributing to advancements in big data and financial security.

📝 Publications & Patents

He has published more than 90 papers, including over 60 in international journals, and holds 4 invention patents and 15 computer software copyrights.

🌍 International Experience

Jianfeng has visited prestigious institutions such as the University of Oldenburg, Imperial College, and Cambridge University, and worked with international software companies like ASCORA and TIE.

Publication Top Notes:

  • Title: Graph-based algorithm for exploring collaboration mechanisms and hidden patterns among top scholars
    • Cited by: 1
    • Year: 2024
  • Title: A framework of cloud-edge collaborated digital twin for flexible job shop scheduling with conflict-free routing
    • Cited by: 3
    • Year: 2024
  • Title: Simulation research on the evolution pathway planning of energy supply and demand in China under the dual carbon targets
    • Cited by: 2
    • Year: 2023
  • Title: Electric vehicle adoption and local PM2.5 reduction: Evidence from China
    • Cited by: 7
    • Year: 2023
  • Title: Pathways for municipalities to achieve carbon emission peak and carbon neutrality: A study based on the LEAP model
    • Cited by: 53
    • Year: 2023

 

 

 

Prof. Mamede de Carvalho | Big Data Awards | Best Researcher Award

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Prof. Mamede de Carvalho | Big Data Awards | Best Researcher Award

Prof. Mamede de Carvalho, Faculdade de Medicina , Universidade de Lisboa, Portugal

Prof. Mamede de Carvalho is a distinguished medical professional renowned for his contributions to neurology and physiology. He obtained his MD from Nova Lisbon University in 1985, specializing in Neurology at the University Hospital in Lisbon in 1993. He earned his PhD in Neurology from the University of Lisbon in 2000, followed by a Habilitation in Neurosciences in 2007. Since 2010, he has served as a Full Professor of Physiology at the University of Lisbon, where he has made significant advancements in clinical neurology, particularly in ALS and neuromuscular disorders. Prof. de Carvalho’s leadership roles include Vice-Dean at the Faculty of Medicine and President of the Reynaldo dos Santos Technological Center in Lisbon. He also directed the Neuromuscular Unit at CHLN – Hospital de Santa Maria from 2009 to 2019, further cementing his impact on neurology research and practice.

🌐 Professional Profile:

Scopus

Orcid

Google Scholar

🎓 Education

Prof. Mamede de Carvalho is a distinguished medical professional with a robust academic background. He obtained his MD from Nova Lisbon University in Lisbon, Portugal, in 1985, followed by specialization in Neurology at the University Hospital in Lisbon in 1993. He earned his PhD in Neurology from the University of Lisbon in 2000 and completed his Habilitation in Neurosciences at the same institution in 2007. Since 2010, he has served as a Full Professor of Physiology at the University of Lisbon, contributing significantly to the fields of neurology and neuroscience through his research and academic leadership.

🌐 Professional Experience & Leadership

Prof. Mamede de Carvalho is a distinguished figure in neurology and physiology, having served as the President of the Reynaldo dos Santos Technological Center in Lisbon, Portugal, from 2017 to 2022. Prior to this, he held the position of Vice-Dean at the Faculty of Medicine – University of Lisbon from 2015 to 2022. With extensive expertise, he also served as the Director of the Neuromuscular Unit at CHLN – Hospital de Santa Maria in Lisbon from 2009 to 2019, contributing significantly to advancements in clinical neurology and neuromuscular disorders.

🔬 Clinical Research & Funding

Prof. Mamede de Carvalho is a pioneering figure in clinical neurology research, renowned for his contributions to advancements like Transcranial Magnetic Stimulation and the Threshold Technique for Axonal Excitability. His leadership has been instrumental in securing significant funding for projects focused on amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases, including grants from JPND and FCT.

Publication Top Notes: