Wei Liang | Healthcare Data Analysis | Best Researcher Award

Dr. Wei Liang | Healthcare Data Analysis | Best Researcher Award

Doctorate at East China University of Science and Technology, China

 Author Profile 👨‍🎓

Early Academic Pursuits 🎓

Dr. Wei Liang embarked on his academic journey at East China University of Science and Technology, where he earned his Bachelor’s degree in Engineering (B.E.) in 2020. His interest in Brain-Computer Interfaces (BCI) and Machine Learning became evident during his undergraduate studies, setting the stage for his continued academic success. Currently, he is pursuing his PhD at the same institution, delving deeper into the intersection of neuroscience, computer science, and biomedical engineering. His early education laid a strong foundation for his research in the emerging field of BCI technology.

Professional Endeavors 💼

As a PhD candidate, Wei Liang is already contributing to the rapidly evolving field of Brain-Computer Interfaces, particularly in motor imagery and neural signal processing. His research involves collaboration with prominent experts in the fields of computer science, neuroscience, and biomedical engineering, such as Andrzej Cichocki, Ian Daly, and Brendan Allison. Liang’s professional journey has been shaped by these collaborations, allowing him to gain insights from diverse disciplines, further honing his expertise in BCI.

Contributions and Research Focus 🧠

Wei Liang’s research focuses on advancing Brain-Computer Interface (BCI) technology, particularly in motor imagery and neural signal processing. His work has led to the development of SecNet, a second-order neural network designed to improve motor imagery decoding from electroencephalography (EEG) signals. Liang’s innovative approaches include variance-preserving spatial patterns for EEG signal processing and the use of graph convolutional networks for optimal channel selection. These contributions have enhanced the accuracy and reliability of BCI systems, making them more applicable to real-world scenarios such as stroke rehabilitation and neural engineering.

Impact and Influence 🌍

Wei Liang’s work is making significant strides in improving BCI systems, which have far-reaching applications in medicine, rehabilitation, and human-computer interaction. By optimizing EEG decoding strategies, his research could impact the development of more effective neuroprosthetics and assistive technologies for individuals with motor impairments. His collaboration with leading researchers from around the world further amplifies the global impact of his work, positioning him as a rising star in BCI research.

Academic Citations 📚

Despite being in the early stages of his career, Wei Liang has already made a notable impact on the academic community. His research has led to the publication of five papers, accumulating a total of 14 citations and an h-index of 2. Notable papers include works published in Information Processing & Management, Frontiers in Human Neuroscience, and IEEE Journal of Biomedical and Health Informatics, among others. These publications highlight his contributions to improving BCI systems and their applications.

Technical Skills 🛠️

Wei Liang possesses a strong technical skill set, particularly in the areas of machine learning, neural network architecture, and EEG signal processing. He has expertise in developing novel algorithms for motor imagery decoding, including the use of second-order neural networks and graph convolutional networks. Liang is proficient in various computational tools and programming languages necessary for his research, positioning him as an expert in his field.

Teaching Experience 🏫

Though primarily focused on research, Wei Liang’s academic journey has also included some teaching experience, collaborating with faculty and providing guidance to students. His strong academic background, coupled with his research expertise, allows him to mentor and inspire others in the field of Brain-Computer Interfaces.

Legacy and Future Contributions 🌟

Wei Liang’s research trajectory holds great promise for shaping the future of Brain-Computer Interface technology. His innovative methodologies have the potential to revolutionize how we understand and utilize EEG signals for communication and rehabilitation. In the long term, his contributions could lead to breakthroughs in neuroprosthetics, enhancing the quality of life for individuals with disabilities. With continued dedication and innovation, Liang is on track to leave a lasting legacy in the realm of neuroscience and technology.

Teaching and Mentorship 🧑‍🏫

Although Liang is primarily focused on research, his experiences collaborating with top researchers and participating in academia have enriched his teaching and mentorship skills. His ability to translate complex ideas into understandable concepts makes him an effective communicator, ready to guide the next generation of researchers in the field of BCI.

Awards and Recognition 🏆

Wei Liang has been recognized for his groundbreaking research, publishing in high-impact journals and earning accolades for his contributions to BCI technology. As a promising young researcher, he is poised to receive even greater recognition as his work continues to influence and shape the future of the field.

Top Noted Publications📖

Novel Channel Selection Model Based on Graph Convolutional Network for Motor Imagery
    • Authors: W Liang, J Jin, I Daly, H Sun, X Wang, A Cichocki
    • Journal: Cognitive Neurodynamics
    • Year: 2023
Variance Characteristic Preserving Common Spatial Pattern for Motor Imagery BCI
    • Authors: W Liang, J Jin, R Xu, X Wang, A Cichocki
    • Journal: Frontiers in Human Neuroscience
    • Year: 2023
SecNet: A Second Order Neural Network for MI-EEG
    • Authors: W Liang, BZ Allison, R Xu, X He, X Wang, A Cichocki, J Jin
    • Journal: Information Processing & Management
    • Year: 2025
Multiscale Spatial-Temporal Feature Fusion Neural Network for Motor Imagery Brain-Computer Interfaces
    • Authors: J Jin, W Chen, R Xu, W Liang, X Wu, X He, X Wang, A Cichocki
    • Journal: IEEE Journal of Biomedical and Health Informatics
    • Year: 2024
Leveraging Transfer Superposition Theory for StableState Visual Evoked Potential Cross-Subject Frequency Recognition
    • Authors: X He, BZ Allison, K Qin, W Liang, X Wang, A Cichocki, J Jin
    • Journal: IEEE Transactions on Biomedical Engineering
    • Year: 2024

Sadoon Abdallah | Data Analysis | Best Researcher Award

Dr. Sadoon Abdallah | Data Analysis | Best Researcher Award

Doctorate at University of Anbar, Iraq

👨‍🎓 Profiles

Orcid Profile
Google Scholar Profile
Research Gate Profile

🌟 Academic Background

Dr. Abdallah is a seasoned lecturer in Civil Engineering, specializing in building and construction materials as well as construction management. With significant experience in collaborating with sponsors, stakeholders, and solution providers, he emphasizes sustainable construction technologies and their practical applications. His research interests include construction waste management and valorisation. Dr. Abdallah is recognized for his meticulous organization, analytical skills, and ability to perform under pressure, ensuring high-quality project delivery within budget.

🎓 Education

  • PhD in Civil and Environmental Engineering from Brunel University London, UK (Oct 2013 – Nov 2017). His research focused on bonding mechanisms and strength of steel fibre reinforced cementitious composites (SFRCCs).
  • MSc (Hons) in Structural Engineering from University Sains Malaysia (USM), Malaysia (Jul 2010 – Apr 2012). His dissertation explored the use of waste glass as a fine aggregate replacement in concrete blocks.
  • BSc (Hons) in Civil Engineering from University of Anbar, Iraq (Sept 2002 – Jun 2006). His final year dissertation studied the effect of aggregate size on the mechanical properties of concrete.

💼 Employment History

  • Lecturer/Head of Studies and Planning Unit at University of Anbar, Iraq (Oct 2018 – Present). Dr. Abdallah teaches various modules, develops innovative teaching practices, engages in research, and maintains professional relationships.
  • Area Manager at Relief International, Iraq (Jan 2018 – Sep 2018). He managed operations, ensured safety, and facilitated communication with local governments and donors.
  • Teaching Assistant/Research Associate at Brunel University London, UK (Oct 2013 – Jan 2018). He prepared lectures, assisted in experimental programs, and evaluated student work.
  • National Project Assistant with FAO and UNIDO, Iraq (Oct 2009 – Dec 2010). He supported project management and implementation.
  • Supervisor Engineer at USAID/Management System International (MSI), Iraq (Apr 2008 – Jun 2009). Responsibilities included project planning, team management, and compliance with standards.
  • Site Engineer at International Relief & Development (IRD) Organization, Iraq (Nov 2007 – Mar 2008). He oversaw civil engineering projects and coordinated contractor work.

🏅 Awards

  • Dean’s Prize for Innovation and Impact from Brunel University London, UK (2017).
  • Vice-Chancellor’s Travel Prize for Postgraduate Research from Brunel University London, UK (2016).

🔬 Professional Activities

Dr. Abdallah serves as a peer reviewer for leading journals including Construction and Building Materials, Waste Management, and Structural Concrete.

🏛️ Memberships

  • Member of the Institution of Civil Engineers (ICE), UK.
  • Member of Brunel University Civil Engineering Society, UK.
  • Member of the Iraqi Engineers Union, Iraq.

📖 Publications

Bonding mechanisms and strength of steel fiber–reinforced cementitious composites: Overview

  • Authors: S. Abdallah, M. Fan, D.W.A. Rees
  • Journal: Journal of Materials in Civil Engineering
  • Year: 2018

Characteristics of concrete with waste glass as fine aggregate replacement

  • Authors: S. Abdallah, M. Fan
  • Journal: International Journal of Engineering and Technical Research
  • Year: 2014

Bond-slip behaviour of steel fibres in concrete after exposure to elevated temperatures

  • Authors: S. Abdallah, M. Fan, K.A. Cashell
  • Journal: Construction and Building Materials
  • Year: 2017

Pull-out behaviour of hooked end steel fibres embedded in ultra-high performance mortar with various W/B ratios

  • Authors: S. Abdallah, M. Fan, X. Zhou
  • Journal: International Journal of Concrete Structures and Materials
  • Year: 2017

Anchorage effects of various steel fibre architectures for concrete reinforcement

  • Authors: S. Abdallah, M. Fan, X. Zhou, S. Le Geyt
  • Journal: International Journal of Concrete Structures and Materials
  • Year: 2016