Seyyed Ali Zendehbad | Engineering | Editorial Board Member

Published on 08/02/202508/02/2025 by Book of Award

Dr. Seyyed Ali Zendehbad | Engineering | Editorial Board Member

Islamic Azad University, Mashhad | Iran

Author Profile

Early Academic Pursuits 🎓

Dr. Zendehbad’s academic journey began with a strong foundation in electronic and information technology engineering. He pursued multiple degrees, culminating in a Ph.D. in Biomedical Engineering from the Islamic Azad University of Mashhad. His doctoral research focused on improving upper limb function in stroke patients using biofeedback and muscle synergy analysis—an innovative approach with profound implications for rehabilitation science.

Professional Endeavors 👨‍🏫

Dr. Zendehbad has an impressive academic career as a professor and head of the Biomedical Engineering department at various prestigious institutions. He has taught specialized courses such as neuromuscular system control, biological system modeling, and biomedical research methodologies. Beyond academia, he has contributed to industry research, including the development of imaging quality enhancements for functional hard endoscopes.

Contributions and Research Focus 🔬

Dr. Zendehbad’s research primarily focuses on:
✅ Electromyogram (EMG) signal classification and analysis
✅ Muscle synergy patterns in stroke rehabilitation
✅ AI-driven biofeedback and assistive technologies
✅ Telehealth solutions and trustworthy AI applications in medical engineering

His work in stroke rehabilitation, particularly in biofeedback mechanisms and AI-driven recovery systems, has set new benchmarks in the field.

Accolades and Recognition 🏅

Dr. Zendehbad’s pioneering work has been recognized with several prestigious awards:
🏆 First Place - 31st Congress of Neurology and Clinical Electrophysiology (2024)
🏆 First Place - Shahid Beheshti University Startup Competition in Telerehabilitation (2021)
🏆 First Place - Mashhad University of Medical Sciences Startup Competition (2020)

These accolades reflect his outstanding contributions to medical engineering and rehabilitation technologies.

Impact and Influence 🌍

Dr. Zendehbad’s research has had a profound impact on both academia and industry. His contributions to AI-driven rehabilitation technologies have paved the way for more effective stroke recovery methods. Additionally, his role in startup competitions has facilitated innovation in telehealth and telerehabilitation, making cutting-edge healthcare solutions more accessible.

Legacy and Future Contributions 🚀

Dr. Zendehbad continues to push the boundaries of biomedical engineering. His ongoing research in AI applications for fatigue detection (FatigueNet project) and telehealth ethics (Trustworthy AI in Telehealth) demonstrates his forward-thinking approach. His legacy will undoubtedly inspire future researchers and innovators in the field of bioelectric engineering and medical technology.

Publications

📄 TraxVBF: A Hybrid Transformer-xLSTM Framework for EMG Signal Processing and Assistive Technology Development in Rehabilitation

Authors: Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari
Journal: Sensing and Bio-Sensing Research
Year: 2025

📄 Identifying The Arm Joint Dynamics Using Muscle Synergy Patterns and SVMD-BiGRU Hybrid Mechanism

Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
Journal: Frontiers in Biomedical Technologies
Year: 2024

📄 Presenting a New Muscle Synergy Analysis Based Mechanism to Design a Trackable Visual Biofeedback Signal: Applicable to Arm Movement Recovery After Ischemic Stroke

Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
Journal: IEEE Access
Year: 2023

📄 A New Visual Biofeedback Protocol Based on Analyzing the Muscle Synergy Patterns to Recover the Upper Limbs Movement in Ischemic Stroke Patients: A Pilot Study

Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
Journal: The Neuroscience Journal of Shefaye Khatam
Year: 2023

📄 Investigation and Analysis of Feature Extraction Methods Based on Multi-Objective Genetic Algorithm and Support Vector Machine for Classification of Electromyogram Signals of Arm Muscles

Authors: Seyyed Ali Zendehbad, Siyamak Haghipour, Hamid Reza Kobravi, Seyyed Amir Zendehbad
Journal: Journal of New Research in Engineering Sciences
Year: 2016

Ali Saad | Health Professions | Best Researcher Award

Published on 12/12/202412/12/2024 by Book of Award

Prof. Ali Saad | Health Professions | Best Researcher Award

King Saud University | Saudi Arabia

Author Profile

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🎓 Early Academic Pursuits

Prof. Ali Saad embarked on a stellar academic journey with a Bachelor’s degree in Electrical Engineering from the University of Saint-Etienne, specializing in electronic and computer systems. He pursued advanced studies in Digital Image Processing, earning a Master’s and Ph.D. from prestigious French universities. His doctoral research on "Filtering and Unsupervised Segmentation of Polarimetric Radar Image" at the University of Nantes set the foundation for his expertise in image processing and electronics.

🧑‍🏫 Professional Endeavors

Prof. Saad has been an integral part of King Saud University since 2000, rising from Assistant Professor to Full Professor. Over two decades, he has enriched the academic fabric with courses in image processing, biomedical instrumentation, signal processing, and microcontroller programming. His teaching portfolio reflects his diverse knowledge and commitment to mentoring students across undergraduate and postgraduate levels.

📚 Contributions and Research Focus

Prof. Saad’s research spans innovative areas such as artificial intelligence in medical imaging, drug delivery models, and numerical analysis of two-phase flows. His recent work leverages AI for early brain tumor detection and nanoparticle visualization for nanomedicine. His contributions to computational methods, diagnostic tools, and medical systems underscore his role as a thought leader in applied sciences.

🏆 Accolades and Recognition

Prof. Saad’s achievements include international grants from NIH and ASTF, recognition by the Cambridge Blue Book, and awards for strategic planning at King Saud University. Notably, he played a pivotal role in KSU’s ABET accreditation and received certificates of appreciation from global organizations. His honorary memberships and accolades highlight his influence in academic and research circles.

🌍 Impact and Influence

Beyond academics, Prof. Saad has contributed to institutional excellence through leadership roles in quality assurance, accreditation, and strategic planning. His consultancy with the NCAAA and participation in academic advisory boards reflect his impact on higher education standards and policy formulation.

🌟 Legacy and Future Contributions

Prof. Ali Saad’s legacy lies in his interdisciplinary expertise, innovative teaching methodologies, and groundbreaking research. As a pioneer in merging AI and biomedical imaging, he continues to inspire the scientific community and shape the future of technology-driven solutions in healthcare. His dedication to advancing knowledge ensures his contributions will resonate for years to come.

Publications

📄 Optimal Air Flow Modeling in Real Healthcare Facilities for Quick Removal of Contaminated Air

Journal: Processes
Year: 2024
Authors: Omar Altwijri, Ravish Javed, Yousif A. Algabri, Fakhouri Abdulaziz Saud, Khaled Alqarni, Reema Altamimi, Sarah Alqahtani, Mohammed Almijalli, Ali Saad

📄 Novel Deep-Learning Approach for Automatic Diagnosis of Alzheimer’s Disease from MRI

Journal: Applied Sciences
Year: 2023
Authors: Omar Altwijri, Reem Alanazi, Adham Aleid, Khalid Alhussaini, Ziyad Aloqalaa, Mohammed Almijalli, Ali Saad

📄 Artificial Intelligence Approach for Early Detection of Brain Tumors Using MRI Images

Journal: Applied Sciences
Year: 2023
Authors: Adham Aleid, Khalid Alhussaini, Reem Alanazi, Meaad Altwaimi, Omar Altwijri, Ali Saad

📄 Estimation of SPIO Nanoparticles Uptakes by Macrophages Using Transmission Electron Microscopy

Journal: International Journal of Molecular Sciences
Year: 2022
Authors: Adham Aleid, Khalid Alhussaini, Mohammed Almijalli, Ali Saad

📄 Numerical Analysis for Two-Phase Flow with Non-Equilibrium Capillary Pressure in Anisotropic Porous Media

Journal: Advances in Computational Mathematics
Year: 2022
Authors: Ali Saad, Khaled Bouadjila, Ali Samir Saad, Mazen Saad, Wissal Mesfar

Doohyun Park | Computer Science | Best Researcher Award

Published on 21/09/202421/09/2024 by Book of Award

Dr. Doohyun Park | Computer Science | Best Researcher Award

VUNO Inc. | South Korea

Author Profile

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Early Academic Pursuits 🎓

Dr. Doohyun Park embarked on his academic journey at Yonsei University, where he earned his Bachelor's degree in Electrical and Electronic Engineering (2012-2016). His deep interest in medical applications of technology led him to pursue a Ph.D. at the same institution. His doctoral thesis focused on artificial intelligence-based preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images, which showcases his commitment to integrating AI in healthcare. His academic path laid the foundation for his future contributions to biomedical research and medical image analysis.

Professional Endeavors 💼

Dr. Park’s professional career is marked by his significant role at VUNO Inc., where he is part of the Lung Vision AI team. His work involves the development of computer-aided detection and diagnosis (CADe/CADx) on lung CT, focusing on innovative solutions for lung health. He has also worked on projects assessing the severity of COVID-19 and anomaly detection in spine CT. His expertise in the intersection of AI and healthcare has positioned him as a key contributor to advanced diagnostic technologies, reflecting his ability to bridge academia and industry.

Contributions and Research Focus 🔬

Dr. Park's research interests are centered around biomedical and clinical research, with a particular emphasis on computer-aided detection, diagnosis, and medical image analysis. He has published numerous papers on topics ranging from deep learning-based joint effusion classification to the development of AI models for lung cancer screening. His research has garnered recognition in top-tier journals, reinforcing his role in advancing AI applications in healthcare. He also holds multiple international and domestic patents related to prognosis prediction using image features, underscoring his contributions to the global research community.

Accolades and Recognition 🏆

Dr. Park’s outstanding contributions to medical image analysis have earned him several prestigious awards. Notably, he won the Best Paper Award at the 2023 MICCAI Grand Challenge for Aorta Segmentation and secured third place in the competition. His academic excellence has also been recognized through scholarships, including the Brain Korea 21 Scholarship and various research and teaching assistant scholarships during his time at Yonsei University. His consistent track record of achievements highlights his dedication to both research and education.

Impact and Influence 🌍

Dr. Park's work has had a profound impact on the field of medical AI, particularly in improving diagnostic tools for lung and breast cancer. His development of cutting-edge algorithms for image analysis has the potential to revolutionize early detection and prognosis in clinical settings. His invited talks at high-profile forums like the Global Engagement & Empowerment Forum on Sustainable Development (GEEF) further showcase his influence on global health initiatives, particularly in the context of the United Nations' Sustainable Development Goals.

Legacy and Future Contributions ✨

As Dr. Park continues his career, his legacy is being built on the foundations of innovation, interdisciplinary collaboration, and a commitment to improving healthcare outcomes. His ongoing projects, including AI-based lung cancer screening and prognosis prediction for adenocarcinoma, promise to shape the future of diagnostic medicine. With a robust portfolio of patents, publications, and collaborative research, Dr. Park is poised to make lasting contributions to both academic and clinical communities, further solidifying his role as a pioneer in medical AI.

Publications

📝 Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective Study
Authors: Hyeyeon Won, Hye Sang Lee, Daemyung Youn, Doohyun Park, Taejoon Eo, Wooju Kim, Dosik Hwang
Journal: Diagnostics
Year: 2024

📝 M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography
Authors: Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang
Journal: Book Chapter
Year: 2024

📝 Weakly Supervised Deep Learning for Diagnosis of Multiple Vertebral Compression Fractures in CT
Authors: Euijoon Choi, Doohyun Park, Geonhui Son, Seongwon Bak, Taejoon Eo, Daemyung Youn, Dosik Hwang
Journal: European Radiology
Year: 2023

📝 Development and Validation of a Hybrid Deep Learning–Machine Learning Approach for Severity Assessment of COVID-19 and Other Pneumonias
Authors: Doohyun Park, Ryoungwoo Jang, Myung Jin Chung, Hyun Joon An, Seongwon Bak, Euijoon Choi, Dosik Hwang
Journal: Scientific Reports
Year: 2023

📝 Importance of CT Image Normalization in Radiomics Analysis: Prediction of 3-Year Recurrence-Free Survival in Non-Small Cell Lung Cancer
Authors: Doohyun Park, Daejoong Oh, MyungHoon Lee, Shin Yup Lee, Kyung Min Shin, Johnson SG Jun, Dosik Hwang
Journal: European Radiology
Year: 2022

Oliver Skan | Medicine and Dentistry | Best Researcher Award

Published on 27/05/202427/05/2024 by Book of Award

Dr. Oliver Skan | Medicine and Dentistry | Best Researcher Award

Royal Free London NHS Trust | United Kingdom

Author Profile

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Early Academic Pursuits

Dr. Oliver Skan embarked on his medical journey at Keble College, University of Oxford, where he pursued a BM BCh degree from 2014 to 2020. His academic performance was exceptional, earning him a distinction in his BM BCh and a First Class Honours in Medical Sciences. Throughout his studies, he demonstrated outstanding aptitude, securing numerous prestigious educational prizes. These include the Meakins McLaren Medal for the highest overall performance during clinical school, the Sir Roger Bannister Prize for clinical neuroscience, and the Stewart Greenall Memorial Prize for excelling in OSCE examinations. His consistent excellence also earned him the Sir Peter Morris Prize in Surgery and the Gibbs Prize for his performance in first BM examinations part II, along with a scholarship from Keble College.

Professional Endeavors

Dr. Skan's clinical experience is extensive and diverse. He began his foundation training in North Central London, where he spent four months each in General Surgery (F1) and Plastic Surgery (F2). His commitment to surgical excellence led him to a Junior Clinical Fellowship in Plastic Surgery at The Royal Free Hospital in London from August 2022 to February 2023. His skill and dedication were further recognized when he ranked first nationally in the 2023 Core Surgical Training applications, leading to his current position in Core Surgical Training from October 2023 to October 2025.

Contributions and Research Focus

Dr. Skan has made significant contributions to medical research, particularly focusing on surgical outcomes and medical education. His research on gender-based discrimination and sexual harassment among medical students was published in Medical Teacher in 2024. He has also been actively involved in the STARSurg initiative, where he coordinated data collection for the RECON study, demonstrating his leadership and data management skills. His work has been published in reputable journals such as the British Journal of Anaesthesia and the British Journal of Surgery.

Accolades and Recognition

Dr. Skan's academic and professional journey is marked by numerous accolades. His educational achievements at Oxford are complemented by recognition for his teaching excellence, such as the Certificate of Merit from Whittington Hospital. His research presentations and posters have been well-received at various national and international conferences, showcasing his ability to contribute valuable insights to the medical community.

Impact and Influence

Dr. Skan has significantly influenced medical education and research. His efforts to improve clinical education through courses like 'Fantastic Bleeps and How to Field Them' have benefited numerous medical students nationally and internationally. His role in audits and quality improvement projects, such as improving UTI management through telemedicine, underscores his commitment to enhancing patient care and clinical practice.

Legacy and Future Contributions

Looking ahead, Dr. Skan's legacy is one of excellence, leadership, and dedication to medical science and education. His ongoing Core Surgical Training and involvement in significant research projects position him to make further impactful contributions to the field. As a national committee member for We Are Donors, he also plays a vital role in promoting organ donation and transplantation education. Dr. Skan's future contributions are expected to continue shaping the landscape of medical education and surgical practice, benefiting both patients and the medical community at large.

Notable Publications

Examining medical students’ experience of gender-based discrimination and sexual harassment from clinical teachers at a UK medical school 2024

Chansokhon Ngan | Medicine and Dentistry | Best Researcher Award

Published on 10/04/202410/04/2024 by Book of Award

Mr. Chansokhon Ngan | Medicine and Dentistry | Best Researcher Award

West China Hospital of Sichuan University | China

Author Profile

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Early Academic Pursuits

Mr. Chansokhon Ngan embarked on his academic journey with a fervent dedication to advancing knowledge in critical care medicine. As a PhD student specializing in Critical Care Medicine at West China Hospital of Sichuan University, he cultivated a strong foundation in research methodologies, data analysis, and clinical practice. His academic pursuits equipped him with the necessary skills to address complex clinical challenges and contribute meaningfully to patient care and medical research.

Professional Endeavors

Throughout his career, Mr. Ngan has been committed to advancing knowledge in critical care medicine through his research endeavors. One of his notable studies, titled "Cardiac index and heart rate as prognostic indicators for mortality in septic shock: A retrospective cohort study from the MIMIC-IV," exemplifies his dedication to excellence in research. Published in Heliyon Journal, this study investigated the relationship between cardiac index (CI), heart rate (HR), and mortality in septic shock patients, utilizing sophisticated data analysis techniques.

Contributions and Research Focus

Mr. Ngan's research focus revolves around critical illnesses, such as septic shock and acute respiratory distress syndrome (ARDS). His contributions to the field include studies on prognostic indicators for mortality in septic shock and predicting the early incidence and stratification of ARDS. Additionally, he is engaged in investigating the application of critical care ultrasound in managing acute respiratory and circulatory dysfunction, aiming to enhance clinical practices and improve patient outcomes.

Accolades and Recognition

Mr. Ngan's dedication to excellence in research has earned him recognition in the medical community. His study on prognostic indicators for mortality in septic shock, published in Heliyon Journal, showcases his commitment to advancing knowledge in critical care medicine. His contributions have been acknowledged for their implications for clinical practice and patient care.

Impact and Influence

Mr. Ngan's research endeavors have made a significant impact on the field of critical care medicine. By investigating prognostic indicators for mortality in septic shock and exploring the application of critical care ultrasound, he has contributed valuable insights that have the potential to improve patient outcomes and enhance clinical practices. His work has influenced the way healthcare providers monitor and manage critical illnesses, leading to more informed decision-making and improved patient care.

Legacy and Future Contributions

As Mr. Ngan continues his academic journey, he remains dedicated to making meaningful contributions to the field of critical care medicine. His research legacy encompasses a commitment to excellence, innovation, and improving patient outcomes. Through his ongoing endeavors, he aims to advance knowledge in critical care medicine, ultimately leaving a lasting impact on the field and paving the way for enhanced clinical practices and patient care.