Hau Xuan Nguyen | Medicine and Dentistry | Best Researcher Award

Assist. Prof. Dr. Hau Xuan Nguyen | Medicine and Dentistry | Best Researcher Award

Hanoi Medical University | Vietnam

Assist. Prof. Dr. Hau Xuan Nguyen is a renowned oncologist and surgical innovator from Vietnam, currently serving as Vice Director of the Oncology Center at Hanoi Medical University Hospital and Associate Professor of Medicine at Hanoi Medical University. With over a decade of experience in oncology and surgical oncology, he has made pioneering contributions to cancer diagnosis and treatment, particularly in head, neck, thyroid, and breast cancers. Assist. Prof. Dr. Hau Xuan Nguyen has significantly advanced minimally invasive surgical techniques, notably the transoral endoscopic thyroidectomy vestibular approach (TOETVA), which has improved patient outcomes and reduced post-surgical complications. His expertise spans clinical oncology, surgical oncology, and palliative care, making him a multifaceted leader in both academic and clinical domains. In addition to his clinical roles, he is an accomplished researcher and educator, having published extensively in national and international journals indexed in Scopus, PubMed, and Web of Science. Assist. Prof. Dr. Hau Xuan Nguyen has co-authored over 80 peer-reviewed articles and several influential medical textbooks, contributing to the academic growth of oncology in Vietnam. His research has gained international recognition through collaborations with leading institutions in Ireland, South Korea, and Japan. Assist. Prof. Dr. Hau Xuan Nguyen dedication to patient care, medical research, and surgical innovation underscores his role as a driving force in global oncology.

Professional Profile

Scopus

Education

Assist. Prof. Dr. Hau Xuan Nguyen academic journey reflects a steady progression of excellence and commitment to oncology and surgical innovation. He began his medical career at Hanoi Medical University, where he earned his degree as a General Practitioner. His keen interest in oncology led him to pursue residency training in Oncology at the same institution, equipping him with strong foundations in cancer management. He later advanced his training internationally, undertaking a surgical oncology fellowship at Beaumont Hospital, Royal College of Surgeons in Ireland, where he gained exposure to global practices in cancer surgery. Further strengthening his expertise, he completed another fellowship at the Thyroid Cancer Center, Yonsei University Hospital, South Korea, specializing in innovative thyroid cancer treatments. Assist. Prof. Dr. Hau Xuan Nguyen pursued his Ph.D. in Oncology at Hanoi Medical University, during which he developed expertise in cancer biology, surgical techniques, and clinical research. He achieved the distinguished title of Associate Professor of Medicine in Oncology, affirming his academic leadership. His comprehensive education, both domestic and international, has provided him with a unique blend of clinical excellence, research capability, and surgical innovation, preparing him to serve as a leader in oncology in Vietnam and globally.

Professional Experience

Over the course of his career, Assist. Prof. Dr. Hau Xuan Nguyen has held multiple academic and clinical positions that highlight his leadership and expertise in oncology. he has served as a Lecturer at the Department of Oncology, Hanoi Medical University, where he has trained and mentored the next generation of oncologists. His dedication to clinical practice is evident in his role as a Surgeon at the Department of Oncology and Palliative Care, Hanoi Medical University Hospital, where he provides direct care to cancer patients with complex conditions. Assist. Prof. Dr. Hau Xuan Nguyen was appointed Vice Director of the Oncology Center at Hanoi Medical University Hospital, a prestigious leadership role where he oversees cancer treatment strategies, clinical innovations, and patient care management. Alongside his teaching and clinical responsibilities, he has played a key role in developing advanced surgical practices in Vietnam, particularly in minimally invasive cancer surgery. His leadership extends beyond clinical practice, as he has contributed significantly to academic publishing, national cancer treatment guidelines, and research collaborations. Through his multifaceted professional career, Assist. Prof. Dr. Hau Xuan Nguyen has established himself as a leading figure in oncology, balancing patient care, surgical innovation, teaching, and global research collaborations.

Research Interests

Assist. Prof. Dr. Hau Xuan Nguyen research interests lie at the intersection of surgical oncology, cancer diagnosis, and innovative treatment approaches. His primary focus is on thyroid cancer, head and neck cancers, breast cancer, and gastrointestinal malignancies, where he explores advanced surgical interventions and minimally invasive procedures to improve treatment outcomes. One of his notable areas of expertise is the transoral endoscopic thyroidectomy vestibular approach (TOETVA), a pioneering surgical technique that offers a scar-free solution and reduces post-operative morbidity. He has also conducted extensive research on sentinel lymph node biopsy in thyroid carcinoma, contributing valuable findings to the improvement of surgical staging and treatment planning in oncology. Beyond surgery, Assist. Prof. Dr. Hau Xuan Nguyen is interested in multidisciplinary cancer care, integrating surgery, chemotherapy, targeted therapies, and palliative care to achieve holistic patient management. His publications also reflect a strong commitment to clinical trials, case reports, and molecular studies that provide insights into genetic mutations and their role in cancer progression. Additionally, he has collaborated internationally on studies involving endoscopic and robotic surgical techniques. Through these research interests, Assist. Prof. Dr. Hau Xuan Nguyen is shaping both clinical practice and academic discourse in oncology, with a vision of advancing precision medicine and minimally invasive cancer treatment worldwide.

Research Skills

Assist. Prof. Dr. Hau Xuan Nguyen possesses a comprehensive set of research skills that combine clinical expertise with rigorous scientific methodology. He is highly skilled in designing and conducting clinical trials, particularly those assessing surgical techniques and oncological outcomes. His expertise in endoscopic and minimally invasive surgery has allowed him to contribute to international literature on advanced surgical oncology, with publications in high-impact journals such as Surgical Endoscopy, Oral Oncology, and Journal of Thyroid Research. Assist. Prof. Dr. Hau Xuan Nguyen has strong proficiency in oncological pathology analysis, molecular diagnostics, and cancer genetics, demonstrated by his work on identifying genetic mutations related to breast, thyroid, and colorectal cancers. His ability to use advanced surgical techniques, including robotic and transoral procedures, underscores his practical research contributions. In addition, he has authored six textbooks on oncology and cancer surgery, reflecting his ability to translate research into academic resources for students and practitioners. He also has extensive experience in academic publishing, peer review, and mentoring early-career researchers in oncology. His research skills are further strengthened by collaborations with international partners, where he has applied evidence-based approaches and contributed to comparative surgical studies. Overall, his diverse research competencies make him a global contributor to oncology innovation and academic development.

Awards and Honors

Assist. Prof. Dr. Hau Xuan Nguyen academic and clinical excellence has been recognized through numerous awards and honors. Notably, he received the Best Certificate at the Congress of the Asia Pacific Society of Thyroid Surgery in Japan for his outstanding research on the role of sentinel lymph node biopsy in thyroid carcinoma. His contributions to cancer surgery and research have also been acknowledged nationally through multiple awards for excellence in surgical oncology and publications in Vietnamese medical journals. He has co-authored influential oncology textbooks such as Oncology, Head and Neck Cancer, Thyroid Cancer, and Atlas of Thyroid Surgery, which are widely used by medical professionals and students in Vietnam. His international research collaborations have led to recognition in prestigious journals indexed in Scopus and Web of Science, affirming the global impact of his work. Additionally, his promotion to Associate Professor of Medicine represents a major academic honor, acknowledging his leadership in teaching, research, and clinical practice. Through these accolades, Assist. Prof. Dr. Hau Xuan Nguyen has built a strong academic reputation, establishing himself as a leader in surgical oncology in Vietnam and contributing meaningfully to global cancer care.

Publication Top Notes

  • Evaluate treatment results of stage II bladder cancer treatment with partial bladder surgery in National Cancer Hospital — 2014

  • Clinical features of stage III-IV tongue cancers treated by chemotherapy pre-surgery and/or radiotherapy — 2014

  • Evaluating the results of surgery for thyroid cancer at Hanoi Medical University Hospital — 2015

  • Evaluate the role of needle biopsy in the diagnosis of lung cancer before treatment — 2014

  • Evaluating the results of endoscopic surgery for benign thyroid at Hanoi Medical University Hospital — 2015

  • Evaluation of the results of the combination regimen of Gemcitabine with Cisplatin for the treatment of stage IV non-small-cell lung cancer — 2015

  • The results of the sentinel lymph node biopsy by methylene blue in thyroid cancer — 2017

Conclusion

Assist. Prof. Dr. Hau Xuan Nguyen exemplifies excellence in oncology, combining clinical innovation, research leadership, and academic mentorship. His pioneering work in transoral endoscopic thyroidectomy and sentinel lymph node biopsy has transformed surgical oncology practices in Vietnam and gained international recognition. With over 80 national and international publications, several oncology textbooks, and leadership roles in both academia and clinical care, he has significantly advanced the standards of cancer treatment and education. His strong research background, global collaborations, and focus on minimally invasive cancer therapies position him as a leader in the future of oncology. Beyond his academic achievements, his dedication to patient care and commitment to training the next generation of oncologists demonstrate his holistic approach to advancing medical science and society. Assist. Prof. Dr. Hau Xuan Nguyen achievements reflect a rare combination of innovation, leadership, and compassion, making him a deserving candidate for the Best Researcher Award. His future research will likely continue to push the boundaries of surgical oncology, enhancing cancer treatment outcomes not only in Vietnam but across the global medical community.

Hyun-Soo Choi | Medical Domain | Best Researcher Award

Prof Dr. Hyun-Soo Choi | Medical Domain | Best Researcher Award

Assistant Professor at Seoul National University of Science and Technology, South Korea

Dr. Hyun-Soo Choi is an Assistant Professor in the Department of Computer Science and Engineering at Seoul National University of Science and Technology. He holds a Ph.D. in Electrical and Computer Engineering from Seoul National University. His research focuses on artificial intelligence, machine learning, deep learning, biomedical data learning, and causal inference. With significant contributions to the field, Dr. Choi has published extensively in renowned journals, including IEEE Transactions on Neural Networks and Learning Systems and the Journal of Clinical Medicine. His work on deep learning-based medical diagnostics and imbalanced data classification has garnered attention for its innovative approaches and practical applications. In addition to his academic role, he serves as the Chief Technical Officer at Ziovision and has previously worked as a researcher at SK Telecom. Dr. Choi has received accolades such as the Annual Excellence Award from Seoul National University, recognizing his impactful research and academic achievements.

Profile

Dr. Hyun-Soo Choi’s educational journey is marked by distinguished achievements and a solid foundation in engineering and computer science. He earned his Bachelor of Science degree in Computer and Communication Engineering from Korea University in February 2013, where he developed a strong base in computing principles. He then pursued advanced studies at Seoul National University, completing his Ph.D. in Electrical and Computer Engineering in February 2020. During his doctoral studies, he was supervised by Prof. Sungroh Yoon and focused on “Imbalanced Data Learning: Advances in Techniques and Applications,” contributing significant advancements to the field of artificial intelligence and machine learning. This academic background not only reflects his expertise in data analysis and bio-medical data learning but also highlights his commitment to advancing knowledge through innovative research.

Professional Experience

Dr. Hyun-Soo Choi has accumulated a diverse range of professional experiences across academia and industry. Currently, he serves as an Assistant Professor in the Department of Computer Science and Engineering at Seoul National University of Science and Technology since February 2023. In this role, he teaches advanced courses in programming, natural language processing, and deep learning. Concurrently, Dr. Choi is the Chief Technical Officer at Ziovision, overseeing technological innovations and developments since October 2021. Previously, he was an Assistant Professor at Kangwon National University from March 2021 to February 2023, where he contributed to various courses on data analysis and machine learning. Dr. Choi also has experience as a researcher at SK Telecom’s T-brain, focusing on advanced artificial intelligence applications from February 2020 to February 2021. His academic background includes a Ph.D. from Seoul National University, where he was mentored by Prof. Sungroh Yoon.

 Research Interest

Dr. Hyun-Soo Choi’s research focuses on advanced artificial intelligence (AI) and machine learning techniques, with a particular emphasis on deep learning, universal learning machines, and causal inference. His work addresses the challenges of bio-medical data learning, aiming to enhance the accuracy and efficiency of data-driven healthcare solutions. Dr. Choi’s research contributions include developing innovative algorithms for imbalanced data learning and applying deep learning methods to various medical fields, such as organ localization and ECG analysis. His recent projects explore novel approaches in facial fracture detection, drug monitoring, and real-time health monitoring, underscoring his commitment to translating AI advancements into practical medical applications. By integrating interdisciplinary methodologies, Dr. Choi strives to push the boundaries of AI research, improving diagnostic and predictive capabilities in healthcare and beyond.

 Research Skills

Dr. Hyun-Soo Choi exhibits a broad and advanced skill set in artificial intelligence and machine learning, particularly in deep learning, causal inference, and bio-medical data analysis. His expertise spans a range of research techniques, including the development of advanced algorithms for imbalanced data learning and generative adversarial networks (GANs). Dr. Choi is proficient in employing deep learning models for diverse applications, such as facial fracture detection, organ localization in wireless capsule endoscopy, and electrocardiography analysis. His ability to integrate machine learning methods with real-world medical data demonstrates a strong aptitude for translating complex theoretical models into practical solutions. Additionally, Dr. Choi’s experience with causal inference methods and universal learning machines highlights his skill in handling intricate data structures and extracting meaningful insights. His comprehensive understanding of these areas is evident through his numerous high-impact publications and contributions to cutting-edge research in his field.

Conclusion

Dr. Hyun-Soo Choi is a strong candidate for the “Research for Best Researcher Award” due to his prolific research output, interdisciplinary expertise, and leadership roles in both academia and industry. However, to further strengthen his application, it would be beneficial to highlight his success in securing research funding, previous awards or recognitions, mentorship activities, and the broader societal impact of his research. With these additions, Dr. Choi would present a well-rounded profile that exemplifies excellence in research and its application to solving real-world challenges.

 

Publications Top Notes

  • A Comprehensive Study on a Deep-Learning-Based Electrocardiography Analysis for Estimating the Apnea-Hypopnea Index
    • Authors: Kim, S., Choi, H.-S., Kim, D., … Kim, Y., Lee, W.H.
    • Year: 2024
  • A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness
    • Authors: Kim, D., Choi, H.-S., Lee, D., … Park, J.-H., Park, J.
    • Year: 2024
    • Citations: 1
  • Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study
    • Authors: Park, S.W., Yeo, N.Y., Kang, S., … Lim, C.-M., Heo, J.
    • Year: 2024
    • Citations: 2
  • Explicit Feature Interaction-Aware Graph Neural Network
    • Authors: Kim, M., Choi, H.-S., Kim, J.
    • Year: 2024
    • Citations: 1
  • In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables
    • Authors: Kim, M., Kim, T.-H., Kim, D., … Han, S.-S., Choi, H.-S.
    • Year: 2024
  • Improving Generalization Performance of Electrocardiogram Classification Models
    • Authors: Han, H., Park, S., Min, S., … Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 3
  • On the Impact of Knowledge Distillation for Model Interpretability
    • Authors: Han, H., Siwon, K., Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 1
  • Multi-View Computed Tomography Network for Osteoporosis Classification
    • Authors: Hwang, D.H., Bak, S.H., Ha, T.-J., … Kim, W.J., Choi, H.-S.
    • Year: 2023
    • Citations: 1
  • PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation
    • Authors: Jung, D., Bae, H., Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 3
  • ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records
    • Authors: Park, S., Bong, J.-W., Park, I., … Choi, H.-S., Kang, S.
    • Year: 2022
    • Citations: 1