Samira Al-Nasser | Medical/AI Engineering | Young Scientist Award

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Dr. Samira Al-Nasser | Medical/AI Engineering | Young Scientist Award

Researcher at Bournemouth University,Ā  United Kingdom

Dr. Samira Al-Nasser is an accomplished engineering professional and educator with a strong background in biomedical engineering and a focus on integrating machine learning for healthcare applications. Currently, as an Engineering Manager at Testlink, she leads a team specializing in ATM repair and design, while her research focuses on advanced sensor technology for joint load balancing during knee replacements. Dr. Al-Nasser has extensive experience in academia, holding positions as a Lecturer and Demonstrator at Bournemouth University. She is also actively involved in the Women in STEM Society and holds leadership roles promoting diversity in STEM.

Profile

Orcid

Scholar

Education šŸŽ“

Dr. Al-Nasser earned a Ph.D. from Bournemouth University, focusing on the design and validation of load sensors for joint replacements, applying skills across mechanical and electrical engineering, machine learning, and material sciences. She previously graduated with first-class honors (84.2%) in Biomedical Engineering from German Jordanian University, specializing in biomedical instrumentation and signal processing. Her academic journey reflects a dedication to merging engineering principles with medical technology to improve patient outcomes, a commitment she continues through publications and research initiatives.

Experience šŸ’¼

Dr. Al-Nasserā€™s career spans various roles, including her current position as Engineering Manager at Testlink, where she manages teams in ATM repair. Previously, she was a Lecturer and Demonstrator at Bournemouth University, focusing on design simulation and lab instruction. Her early career includes research assistant roles and biomedical internships at Abdali Medical Center and The Specialty Hospital in Jordan, where she supported medical equipment maintenance and installations. These roles underscore her diverse expertise in engineering management, education, and applied medical research.

Awards and Honors šŸ†

Dr. Al-Nasser has been recognized for her contributions to engineering and diversity, receiving the AdvanceHE Associate Fellowship for Teaching, which highlights her academic impact. She serves as a PGR Representative for the Athena SWAN Charter on Diversity and Inclusion and is an active member of the Women in STEM Society at Bournemouth University. Her accolades include awards for outstanding academic presentations at conferences, showcasing her dedication to advancing biomedical engineering and diversity in the engineering field.

Research Focus šŸ”

Dr. Al-Nasserā€™s research centers on AI applications in orthopedic engineering, particularly in designing intelligent sensors for intraoperative load balancing during knee replacements. She investigates piezoelectric sensor technologies and machine learning-based load prediction models to enhance joint stability and improve surgical outcomes. Her work combines biomechanics, AI-driven signal processing, and biomedical device innovation, aiming to elevate precision in joint replacement surgeries and contribute to the broader field of smart healthcare technology.

Conclusion šŸ†

Dr. Samira Al-Nasser is a strong contender for the Young Scientist Award. Her unique blend of research achievements, interdisciplinary expertise, and dedication to diversity and teaching makes her a rising star in biomedical engineering. With further growth in her collaborative network and research funding, Dr. Al-Nasser has the potential to make significant contributions to medical device innovation and healthcare technology. She exemplifies the qualities of a young scientist capable of driving impactful advancements in both academic and applied research domains.

Publications Top Notes

  1. Gait analysis of a kinematic retaining implant for Total knee replacements during walking and running
    • Journal: Journal of Orthopaedics
    • Date: 2024-10
    • DOI: 10.1016/j.jor.2024.02.025
    • Contributors: Adrian Harvey, Suraj Kohli, Samira Al-Nasser, Siamak Noroozi

 

  1. WITHDRAWN: Cadaveric Testing of a Novel Intraoperative Load Sensor for Soft-tissue balancing during Total Knee Replacements
    • Journal: Journal of Orthopaedic Reports
    • Date: 2024-07
    • DOI: 10.1016/j.jorep.2024.100448
    • Contributors: Samira Al-Nasser, Saimak Noroozi, Adrian Harvey, Roya Haratian

 

  1. Design of a Novel Intraoperative Sensor for Load Balancing and Tracking during Total Knee Replacements

 

  1. Exploring the Performance of an Artificial Intelligence-Based Load Sensor for Total Knee Replacements
    • Journal: Sensors
    • Date: 2024-01-17
    • DOI: 10.3390/s24020585
    • Contributors: Samira Al-Nasser, Siamak Noroozi, Adrian Harvey, Navid Aslani, Roya Haratian

 

 

Weihua Liu| AI | Best Researcher Award

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Ā Dr. Weihua Liu| AI | Best Researcher Award

Ā Dr at AthenaEyesCO., LTD. China

With extensive contributions to academia and industry, I’ve authored over 20 influential papers and filed more than 80 patents, underscoring my commitment to innovation at the intersection of AI and healthcare. My career spans leadership in national science foundation projects and pioneering advancements in medical imaging and diagnostic technologies.

Profile

  1. Orcid

šŸŽ“Education

Post-Doctoral Research Beijing Institute of Technology, School of Medical Technology (Nov 2021 – Jun 2024) Co-supervisor: Chen Duanduan, Focus: Construction and Application of Medical Multi-modal Large Models. PhD in Computer Science Beijing Institute of Technology, School of Computer Science (Sep 2014 – Jun 2021) Supervisor: Liu Xiabi Dissertation: “Deep Network Structure and Its Learning Method Based on Pulmonary Nodule Detection and Lung Parenchyma Segmentation”. Bachelor’s and Master’s Degrees Changsha University of Science and Technology, School of Computer and Communication Engineering Bachelor’s Degree in Computer Science and Technology (Sep 2002 – Jun 2006), Master’s Degree in Software Engineering and Theory (Graduated Jun 2009), Research Focus: Image Processing and Pattern Recognition

šŸ”¬Research Projects

National Natural Science Foundation of China Project: Research on Intelligent Assessment Method for Stroke Risk Based on High-Risk Carotid Plaque-Complex Blood Flow Image Feature Analysis (2023-2026). Beijing Natural Science Foundation Project: Research on the Model of Acute Respiratory Distress Syndrome Assisted Diagnosis and Treatment Based on AI and Data Mining (2023-2026). Changsha Major Science and Technology Special Project Research and Application of Trustworthy Intelligent Vision Key Technologies in 5G Environment (2020-2023)

šŸš€ Professional Experience:

As an AI Algorithm Scientist at 3M’s Beijing Research and Development Center, I spearheaded the development of the BAX framework, a unified cross-platform AI deployment system widely adopted in biometric intelligence systems globally.

šŸ’” Patents:

I’ve filed over 80 patents, showcasing my innovations in areas like multimodality-based medical models, facial recognition, and medical identity authentication.

šŸŒŸ Research Expertise:

With a profound focus on AI and healthcare intersections, I bring extensive theoretical knowledge in biometric technology, physiological and psychological computing, and medical assistant diagnosis.

Publications Top Notes šŸ“

  • Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis
    • Year: 2024
    • Authors: Liu, Weihua; Lin, Chaochao; Chen, Duanduan; Niu, Lijuan; Zhang, Rui; Pi, Zhaoqiong
    • Source: Computer Methods and Programs in Biomedicine

 

  • A pyramid input augmented multi-scale CNN for GGO detection in 3D lung CT images
    • Year: 2023
    • Authors: Liu, Weihua; Liu, Xiabi; Luo, Xiongbiao; Wang, Murong; Han, Guanghui; Zhao, Xinming; Zhu, Zheng
    • Source: Pattern Recognition

 

  • Stone needle: A general multimodal large-scale model framework towards healthcare
    • Year: 2023
    • Authors: Liu, Weihua; Zuo, Yong
    • Source: arXiv preprint arXiv:2306.16034

 

  • Contraction Mapping of Feature Norms for Data Quality Imbalance Learning
    • Year: 2022
    • Authors: Liu, Weihua; Liu, Xiabi; Li, Huiyu; Lin, Chaochao
    • Source: Available at SSRN 4250246

 

  • Integrating lung parenchyma segmentation and nodule detection with deep multi-task learning
    • Year: 2021
    • Authors: Liu, Weihua; Liu, Xiabi; Li, Huiyu; Li, Mincan; Zhao, Xinming; Zhu, Zheng
    • Source: IEEE Journal of Biomedical and Health Informatics

 

  • A new three-stage curriculum learning approach for deep network based liver tumor segmentation
    • Year: 2020
    • Authors: Li, Huiyu; Liu, Xiabi; Boumaraf, Said; Liu, Weihua; Gong, Xiaopeng; Ma, Xiaohong
    • Source: 2020 International Joint Conference on Neural Networks (IJCNN)

 

  • URDNet: a unified regression network for GGO detection in lung CT images
    • Year: 2020
    • Authors: Liu, Weihua; Ren, Yuchen; Li, Huiyu
    • Source: Wireless Communications and Mobile Computing

 

  • Content-sensitive superpixel segmentation via self-organization-map neural network
    • Year: 2019
    • Authors: Wang, Murong; Liu, Xiabi; Soomro, Nouman Q; Han, Guanhui; Liu, Weihua
    • Source: Journal of Visual Communication and Image Representation

 

  • Hybrid resampling and multi-feature fusion for automatic recognition of cavity imaging sign in lung CT
    • Year: 2019
    • Authors: Han, Guanghui; Liu, Xiabi; Zhang, Heye; Zheng, Guangyuan; Soomro, Nouman Qadeer; Wang, Murong; Liu, Weihua
    • Source: Future Generation Computer Systems