Fulin Liu | Cardiology | Best Researcher Award

Prof. Fulin Liu | Cardiology | Best Researcher Award

Prof. Fulin Liu, Affiliated Hospital of Hebei University , China

Prof. Fulin Liu is a distinguished researcher and cardiac surgeon affiliated with the Affiliated Hospital of Hebei University, where he has worked since 1988. He holds a degree from Hebei Medical University and has made significant contributions to cardiovascular health, particularly in myocardial ischemia-reperfusion injury and the therapeutic effects of hydrogen-rich water. Liu has authored numerous high-impact journal articles, with recent work focusing on mitochondrial function, glioma research, and innovative healthcare solutions. His research is widely recognized in leading medical journals, underscoring his global impact and ongoing commitment to advancing medical science and patient care.

Author Profile:

🎓 Education:

Prof. Fulin Liu completed his undergraduate education at Hebei Medical University in Shijiazhuang City, Hebei, China. He attended the university from September 1983 to June 1988, where he received a medical degree, which laid the foundation for his career in cardiac surgery and medical research. This academic background has been pivotal in shaping his research focus, particularly in the fields of cardiovascular health, ischemia-reperfusion injury, and the application of hydrogen-rich water in medical treatments. Liu’s educational experiences at Hebei Medical University have significantly influenced his innovative contributions to healthcare and medical science.

💼 Professional Experience:

Prof. Fulin Liu has extensive professional experience in both clinical and research settings. Since 1988, he has been a cardiac surgeon at the Affiliated Hospital of Hebei University, where he has developed expertise in treating cardiovascular conditions, particularly myocardial ischemia-reperfusion injury. In addition to his clinical role, Liu has made significant contributions to medical research, publishing numerous articles on topics such as hydrogen-rich water, mitochondrial function, and glioma. His work bridges the gap between clinical practice and scientific discovery, advancing both patient care and medical knowledge. Liu’s career reflects a dedicated commitment to improving cardiovascular health and innovative therapies.

🌍Research Contributions:

Prof. Fulin Liu’s research contributions focus primarily on cardiovascular health, particularly myocardial ischemia-reperfusion injury and the protective effects of hydrogen-rich water. His studies have revealed critical insights into mitochondrial function and its role in heart disease, with a focus on improving therapeutic strategies. Liu has also made notable contributions to the understanding of gliomas, including the role of circular RNAs and N6-methyladenosine modifications in tumor progression. His work extends to advanced healthcare technologies, such as knowledge graphs and mobile computing in medical applications. Through his numerous published articles, Liu continues to drive innovative research with significant clinical and therapeutic implications.

🥇Award and Honors:

Prof. Fulin Liu has received numerous awards and honors throughout his distinguished career, recognizing his contributions to the field of cardiac surgery and medical research. His groundbreaking work on myocardial ischemia-reperfusion injury, hydrogen-rich water’s therapeutic effects, and his studies on gliomas have earned him widespread acclaim in the scientific community. Liu’s research has been published in top-tier medical journals, and his expertise has garnered international recognition. His dedication to advancing both clinical practices and scientific understanding has established him as a leader in his field, earning him significant accolades and reinforcing his reputation as a pioneering researcher.

Conclusion:

Prof. Fulin Liu’s extensive research and clinical expertise have made him a prominent figure in the field of cardiac surgery and biomedical research. His work on myocardial ischemia-reperfusion injury, hydrogen-rich water, and its therapeutic potential highlights his commitment to advancing cardiovascular medicine. Liu’s contributions to the understanding of molecular mechanisms in diseases like glioma further underscore his multidisciplinary approach to health research. With a remarkable publication record and ongoing involvement in clinical practice, Liu’s impact on both academic and medical communities is profound, establishing him as a leading figure in his field.

📚Publication Top Notes:

Hydrogen Protects Mitochondrial Function by Increasing the Expression of PGC-1α and Ameliorating Myocardial Ischaemia–Reperfusion Injury
Journal of Cellular and Molecular Medicine, 2024
📖 Citations: 0
[DOI: 10.1111/jcmm.70236]

Spatiotemporal lipidomics reveals key features of brain lipid dynamic changes after cerebral ischemia and reperfusion therapy
Pharmacological Research, 2022
🧠 Citations: 15
[DOI: 10.1016/j.phrs.2022.106482]

Identification and characterization of N6-methyladenosine modification of circRNAs in glioblastoma
Journal of Cellular and Molecular Medicine, 2021
🔬 Citations: 8
[DOI: 10.1111/jcmm.16750]

Multitask Healthcare Management Recommendation System Leveraging Knowledge Graph
Journal of Healthcare Engineering, 2021
💡 Citations: 19
[DOI: 10.1155/2021/1233483]

Medical Knowledge Graph in Chinese Using Deep Semantic Mobile Computation Based on IoT and WoT
Wireless Communications and Mobile Computing, 2021
🌐 Citations: 6
[DOI: 10.1155/2021/5590754]

M6A modification in RNA: Biogenesis, functions and roles in gliomas
Journal of Experimental and Clinical Cancer Research, 2020
🧬 Citations: 117
[DOI: 10.1186/s13046-020-01706-8]

Metabolomics Analysis of the Effect of Hydrogen-Rich Water on Myocardial Ischemia-Reperfusion Injury in Rats
Journal of Bioenergetics and Biomembranes, 2020
💧 Citations: 6
[DOI: 10.1007/s10863-020-09835-7]

Advances in circular RNAs and their role in glioma (Review)
International Journal of Oncology, 2020
🔄 Citations: 26
[DOI: 10.3892/ijo.2020.5049]

New understanding of the damage of SARS-CoV-2 infection outside the respiratory system
Biomedicine and Pharmacotherapy, 2020
🦠 Citations: 222
[DOI: 10.1016/j.biopha.2020.110195]

Pressurizing and Stretching Experiment in Arterialized Veins of Rabbits
Yiyong Shengwu Lixue/Journal of Medical Biomechanics, 2020
🐇 Citations: Not available
[DOI: 10.3969/j.issn.1005-8936.2020.02.006]

Yazan Otoum | Heart Disease | Best Researcher Award

Education:

Dr. Yazan Otoum holds a Ph.D. in Electrical and Computer Engineering from the University of Ottawa, Canada, where he focused on developing AI-based intrusion detection systems to enhance the security of the Internet of Things (IoT). He earned his M.Sc. in Networks Engineering and Management from DePaul University in the USA in 2009 and a B.Sc. in Software Engineering from Philadelphia University in Jordan in 2006. Dr. Otoum’s diverse educational background equips him with a robust understanding of network security, software development, and emerging technologies, allowing him to contribute significantly to research and teaching in his field.

Professional Experience:

 

Dr. Yazan Otoum is an Assistant Professor of Cybersecurity at Algoma University in Brampton, Ontario, Canada, since 2024. He teaches graduate courses such as Data Structures I, Data Structures II, and Introduction to Cybersecurity. Prior to this, he was a part-time professor at the University of Ottawa and Algonquin College, where he instructed courses in data structures, algorithms, and digital forensics. Dr. Otoum has a solid background in research and teaching, having guided master’s students in developing security frameworks focused on IoT and Federated Learning during his tenure as a Research Assistant at the University of Ottawa. Previously, he was a lecturer at Majmaah University in Saudi Arabia, where he initiated the “Digital Citizenship” project under Saudi Vision 2030, enhancing digital literacy and responsible technology use. His early career included significant roles in system administration for educational projects in Jordan, where he managed platforms serving over 2 million users and led efforts in disaster recovery and cybersecurity analysis.

 

Honours and Awards:

 

Dr. Yazan Otoum has received several accolades for his contributions to cybersecurity education and community engagement. In 2023, he was awarded the Cybersecurity Career Mentor Badge by the EC-Council, recognizing his efforts in mentoring aspiring cybersecurity professionals. He also earned the Cisco Instructor 5 Years of Service Badge in 2019 for his impactful teaching in the Cisco Networking Academy. Notably, in 2018, he received an Award and Certificate of Appreciation from “Saudi Vision 2030” for his role in the “Digital Citizenship” project, which won the best project award. His other recognitions include multiple certificates of appreciation from Majma’ah University for his significant contributions to ABET accreditation, organizing a nationwide robotics competition, and conducting a national cybersecurity boot camp. Additionally, he was acknowledged by the University of Jadara in 2011 for delivering an impactful presentation on eLearning in education.

Graduate Co-Supervision:

Dr. Yazan Otoum has supervised several innovative research projects in the field of cybersecurity and healthcare technology. In 2023, he guided Pratish Pushparaj in developing an Intrusion Detection System Model using LLaMA 2 with generative dataset augmentation. Chaosheng Hu’s project focused on heart disease prediction through federated learning and blockchain integration, while Siddhant Tiwari explored a differential privacy-driven framework for enhancing heart disease prediction. Navya Gottimukkala investigated the application of machine learning in metaverse security. Earlier, in the 2022-2023 academic year, Paritosh Singh worked on deep collaborative learning for robust healthcare security. Dr. Otoum also supervised Yue Wan’s research on a federated transfer learning-based IDS for the Internet of Medical Things (IoMT) and Sai Yadlapalli’s framework for securing IoT through federated transfer learning during the 2020-2021 academic year.

Graduate Courses:

Dr. Yazan Otoum’s teaching portfolio includes advanced topics in cybersecurity, focusing on the integration of machine learning and artificial intelligence for practical applications. He covers wireless ad-hoc networking and the innovative frameworks of software-defined networks (SDN) and cloud computing, which are essential for modern network management. Additionally, his courses explore multimedia communication, emphasizing the importance of secure data transmission in diverse formats. Dr. Otoum also introduces students to deep learning (DL) and reinforcement learning (RL), equipping them with the skills needed to leverage these cutting-edge technologies in cybersecurity.

Conclusion:

Dr. Yazan Otoum’s extensive experience in cybersecurity education, research, and practical applications positions him as a pivotal figure in shaping the next generation of cybersecurity professionals. His commitment to integrating advanced technologies such as machine learning, blockchain, and cloud computing into his curriculum reflects a forward-thinking approach to education. Through his mentorship and innovative teaching methods, Dr. Otoum not only imparts critical knowledge but also inspires students to tackle emerging challenges in the field. His contributions to projects like “Digital Citizenship” under the Saudi Vision 2030 initiative and recognition from prestigious organizations further underscore his dedication to enhancing cybersecurity awareness and education globally. As he continues to lead initiatives and mentor future experts, Dr. Otoum plays a crucial role in advancing cybersecurity practices and fostering a secure digital environment.

Top Notable Publications:

Enhancing Heart Disease Prediction with Federated Learning and Blockchain Integration

Authors: Chaosheng Hu, Yazan Otoum, et al.

Year: 2024

Journal: Future Internet

DOI: 10.3390/fi16100372

Machine Learning in Metaverse Security: Current Solutions and Future Challenges

Authors: Yazan Otoum, et al.

Year: 2024

Journal: ACM Computing Surveys

DOI: 10.1145/3654663

DL-IDS: a deep learning–based intrusion detection framework for securing IoT

Authors: Yazan Otoum, et al.

Year: 2022

Journal: Transactions on Emerging Telecommunications Technologies

DOI: 10.1002/ett.3803

FTLIoT: A Federated Transfer Learning Framework for Securing IoT

Authors: Yazan Otoum, et al.

Year: 2022

Conference: IEEE Global Communications Conference

DOI: 10.1109/GLOBECOM48099.2022.10001461

WOSUID: WOS:000922633501029

Transfer Learning-Driven Intrusion Detection for Internet of Vehicles (IoV)

Authors: Yazan Otoum, et al.

Year: 2022

Conference: International Wireless Communications and Mobile Computing Conference

DOI: 10.1109/IWCMC55113.2022.9825115

WOSUID: WOS:001058917600060

AS-IDS: Anomaly and Signature Based IDS for the Internet of Things

Authors: Yazan Otoum, et al.

Year: 2021

Journal: Journal of Network and Systems Management

DOI: 10.1007/s10922-021-09589-6

On securing IoT from Deep Learning perspective

Authors: Yazan Otoum, et al.

Year: 2021

ISBN: 978-1-7281-8087-8