Prof Leila Shahmoradi | Health Information Management | Best Researcher Award |

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Prof. Leila Shahmoradi | Health Information Management | Best Researcher Award.

Tehran University of Medical Sciences , Iran

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

 👨‍🎓 Bio Summary:

Professor Leila Shahmoradi is a renowned academic and researcher in Health Information Management and Medical Informatics. She is currently serving at the Tehran University of Medical Sciences, where she has made significant contributions to the field of medical education and health informatics. Her innovative work, which integrates technology into healthcare systems, has earned her national recognition. Throughout her career, Professor Shahmoradi has been actively involved in various research projects, leadership roles, and academic initiatives that enhance the intersection of technology and healthcare.

🎓 Educational Background:

Professor Shahmoradi holds a Ph.D. in Health Information Management (2012) from Tehran University of Medical Sciences, Iran. She also earned an M.Sc. in Education of Medical Records from Iran University of Medical Sciences (2004) and a B.Sc. in Medical Records from Tehran University of Medical Sciences (1999). Her educational background provides a strong foundation for her expertise in healthcare information management and medical informatics.

🔍 Research Focus:

Professor Shahmoradi’s research primarily revolves around health information systems, mobile health (mHealth) solutions, decision support systems, and the integration of new technologies like augmented reality into healthcare education. Her work aims to improve healthcare outcomes through the effective use of digital tools and informatics. She has designed and developed numerous mobile-based decision support systems that assist in areas like lung transplant patient management and kidney survival prediction.

🏆 Honors & Awards:

Throughout her career, Professor Shahmoradi has received several prestigious awards. She was recognized as the Top Researcher at Iran University of Medical Sciences in 2009. She has also been an award recipient at several national conferences, including the Shahid Motahari Educational Festival, for her innovative educational processes such as the use of augmented reality in physiotherapy education and the development of mobile health applications.

💼 Professional Experience:

Professor Shahmoradi has held key academic and administrative roles, including Deputy Dean of Research Affairs (2021-2023) and Head of the Medical Library and Information Sciences Department (2019-2021) at Tehran University of Medical Sciences. She has been an active member of various educational and interview committees under the Ministry of Health and Medical Education, contributing to curriculum planning and examination processes. Her leadership extends to the Iranian Association of Information Technology and Management, where she served on the Board of Directors.

📚 Top Noted Publications :

The Application of Internet of Things in Healthcare: A Systematic Literature Review and Classification

Authors: H. Ahmadi, G. Arji, L. Shahmoradi, R. Safdari, M. Nilashi, M. Alizadeh

Journal: Universal Access in the Information Society

Citations: 333

Index: Scopus

Year of Publication: 2019

 

A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method

Authors: M. Nilashi, O. Ibrahim, H. Ahmadi, L. Shahmoradi

Journal: Telematics and Informatics

Citations: 298

Index: Scopus

Year of Publication: 2017

 

An Analytical Method for Diseases Prediction Using Machine Learning Techniques

Authors: M. Nilashi, O. Bin Ibrahim, H. Ahmadi, L. Shahmoradi

Journal: Computers & Chemical Engineering

Citations: 234

Index: Scopus

Year of Publication: 2017

 

Hospital Information System Adoption: Expert Perspectives on an Adoption Framework for Malaysian Public Hospitals

Authors: H. Ahmadi, M. Nilashi, L. Shahmoradi, O. Ibrahim

Journal: Computers in Human Behavior

Citations: 214

Index: Scopus

Year of Publication: 2017

 

Diseases Diagnosis Using Fuzzy Logic Methods: A Systematic and Meta-Analysis Review

Authors: H. Ahmadi, M. Gholamzadeh, L. Shahmoradi, M. Nilashi, P. Rashvand

Journal: Computer Methods and Programs in Biomedicine

Citations: 205

Index: Scopus

Year of Publication: 2018

Conclusion:

Professor Leila Shahmoradi is an exceptional candidate for the Best Researcher Award. Her innovative contributions to health informatics, leadership roles, and strong research background make her well-suited for this recognition. By further expanding her international collaborations and diversifying her research, she could solidify her position as a leading global researcher in medical informatics.

Prof Dr Chien-Hua Tsai | Information Security | Best Researcher Award |

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Prof Dr. Chien-Hua Tsai | Information Security | Best Researcher Award.

Chihlee University of Technology ,Taiwan

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

Prof. Dr. Chien-Hua Tsai is a Full Professor in the Department of Accounting Information at Chihlee University of Technology, Taiwan. He holds a Ph.D. in Electrical Engineering and Computer Science from Case Western Reserve University, Ohio, USA. A Certified Ethical Hacker (CEH), Dr. Tsai specializes in information security, focusing on identity-based verification schemes and cryptographic approaches to NFTs and blockchain technology. His research contributions are widely recognized, with numerous publications in prestigious journals. In addition to his academic role, he provides consulting services on network management practices to various organizations.

🎓 Education:

Prof. Dr. Chien-Hua Tsai earned his Ph.D. in Electrical Engineering and Computer Science from Case Western Reserve University, Ohio, USA, in 2000. He also holds a professional certificate in Information Security with a focus on Certified Ethical Hacking (CEH), acquired from EC-Council in 2007.

🔍 Research Focus:

Prof. Tsai specializes in security-related research projects, including identity-based verification schemes and cryptographic approaches in NFT technologies. His work explores the intersection of blockchain, cryptography, and secure digital communications.

🏆 Honors & Awards:

Throughout his career, Prof. Tsai has received numerous accolades for his contributions to the field of information security and network management practices. His expertise and innovative research have been widely recognized in the academic and professional communities.

Professional Experience: 💼

Prof. Tsai serves as a Full Professor in the Department of Accounting Information at Chihlee University of Technology, Taiwan. He also provides extensive consulting services on network management practices to various organizations, leveraging his deep knowledge and experience in the field.

 📚 Top Noted Publications :

“A Secure and Efficient Blockchain-Powered Scheme for e-Invoicing Application” [DOI: 10.1016/j.bcra.2024.100219]

“Supply Chain Financing Scheme Based on Blockchain Technology from a Business Application Perspective” [DOI: 10.1007/s10479-022-05033-3]

“A Robust Secure Self-Certified Concurrent Signature Scheme from Bilinear Pairings” [DOI: 10.34028/18/4/6]

“The Application of Multi-Server Authentication Scheme in Internet Banking Transaction Environments” [DOI: 10.1007/s10257-020-00481-5]

“An Efficient and Secure Weighted Threshold Signcryption Scheme” [DOI: 10.3966/160792642019092005018]

“New Proxy Blind Signcryption Scheme for Secure Multiple Digital Messages Transmission Based on Elliptic Curve Cryptography” [DOI: 10.3837/tiis.2017.11.020]

Author Metrics 📊 : 

Prof. Tsai’s research has garnered significant attention, with his publications being widely cited in the academic community. His contributions have helped advance the fields of blockchain technology and information security, reflecting his impact and influence in these areas.

📅 Research Timeline:

Prof. Tsai has a robust research timeline, consistently contributing to the field since earning his Ph.D. in 2000. His ongoing projects continue to address critical issues in security and cryptography, ensuring the relevance and application of his work in emerging technologies.

Dr Xianrui Liu | scientific data | Best Researcher Award |

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Dr. Xianrui Liu | scientific data | Best Researcher Award.

school of information management, wuhan university,China

Professional Profiles:

SCOPUS

ORCID 

👨‍🎓 Bio Summary:

Dr. Xianrui Liu is a distinguished scholar in the field of library science, focusing on information policy, data governance, data ethics, and critical data studies. With a strong academic background and extensive research experience, Dr. Liu has made significant contributions to understanding and advancing data management and ethics.

🎓 Education:

Dr. Liu completed a Ph.D. in Library Science at Wuhan University under the guidance of Advisor Si Li, achieving a GPA of 3.7. Prior to this, Dr. Liu earned a Master of Library Science (M.L.S.) degree, also from Wuhan University, with a GPA of 3.6, mentored by Ran Congjing. Dr. Liu’s academic journey began with a Bachelor of Arts in Information Resource Management from Sichuan University, where a GPA of 3.5 was maintained.

🔍 Research Focus:

Dr. Liu’s research interests encompass a broad range of topics within library science, including information policy and service, data governance, data ethics and rights, and critical data studies. This research aims to address the complexities of data management and ensure ethical standards in information handling.

🏆 Honors & Awards:

Throughout Dr. Liu’s academic career, several accolades have been received, including being named an Outstanding Academic Team Member of the “Wuhan University Academic Development Programme for Young Scholars in Humanities and Social Sciences” in 2020. Dr. Liu was also recognized as the 2019 Sichuan University Outstanding Graduate, an Outstanding Student in 2018, and received the Comprehensive First-Class Scholarship in 2017.

Professional Experience: 💼

Dr. Liu has actively participated in various research programs and projects. During the Ph.D. program at Wuhan University, Dr. Liu contributed to the “Construction of National Digital Scientific and Technological Literature Resources Long-term Preservation System” and the “Research on the Construction of Multilingual and Shared Economic Management Database for the Countries Along the Belt and Road.” As an M.L.S. student, Dr. Liu was involved in projects such as “Research on Institutional Regulation and National Governance of Big Data” and “Research on Government Big Data Governance Mechanism.” Additionally, during the undergraduate years at Sichuan University, Dr. Liu engaged in cataloging American religion microfilm, investigating primary school libraries, and researching composite reading behavior.

 📚 Top Noted Publications :

Nip Risks in the Bud: Research Data Ethics Governance Framework and Collaborative Network from the Perspective of UK Policy

Authors: Si Li, Liu Xianrui

Citation: Aslib Journal of Information Management, 2024

 

 Research Practice and Progress of Models and Algorithms Applied in Topic Identification and Prediction Based on the Analysis of CNKI

Authors: Guo Sheng, Si Li, Liu Xianrui

Citation: Applied Sciences (Switzerland), 2023, 13(13), 7545

Author Metrics 📊 : 

Dr. Liu’s research has been widely recognized and cited, reflecting the impact and importance of the work in the field of library science and data governance.

📅 Research Timeline:

2022-Present: Ph.D. in Library Science, Wuhan University.

2019-2022: M.L.S. in Library Science, Wuhan University.

2015-2019: B.A. in Information Resource Management, Sichuan University.

2019: Internship at the National Science Library, Chinese Academy of Sciences.

2017-2019: Various research projects and publications during undergraduate studies.

Mr Mohamed OUHSSINI | Cloud security | Best Research Article Award |

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Mr. Mohamed OUHSSINI | Cloud security | Best Research Article Award.

University IBN Zohr,Morocco

Professional Profiles:

ORCID

SCOPUS

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Mohamed OUHSSINI is a Professor in the Computer Science Department at University IBN ZHOR in Agadir, Morocco. His expertise spans cloud security, DDoS attack detection and mitigation, and the applications of machine learning and deep learning in IoT security. He has significantly contributed to advancing research and education in computer science, particularly in cybersecurity.

🎓 Education:

Mohamed OUHSSINI earned a Master’s degree in Computer Science in 2017. This academic background laid the foundation for his expertise in cloud security and related technologies, enabling him to address complex challenges in the field.

🔍 Research Focus:

Mohamed’s research interests include cloud security, DDoS attacks detection and mitigation, deep learning, machine learning, and IoT security. He focuses on developing comprehensive frameworks and proactive systems for detecting and preventing cyber threats in cloud environments.

🏆 Honors & Awards:

Throughout his career, Mohamed has received recognition for his contributions to computer science. His innovative approaches to cloud security and DDoS attack mitigation have garnered accolades in both academic and professional circles.

Professional Experience: 💼

Mohamed has been a Professor in high school for seven years, where he has dedicated himself to teaching and mentoring students in computer science. His practical experience in the field complements his academic endeavors, providing a well-rounded perspective on cybersecurity challenges and solutions.

📚 Top Noted Publications :

DeepDefend: A comprehensive framework for DDoS attack detection and prevention in cloud computing”
Ouhssini, M., Afdel, K., Agherrabi, E., Akouhar, M., Abarda, A.
Journal of King Saud University – Computer and Information Sciences, 2024, 36(2), 101938
This paper presents a comprehensive framework for detecting and preventing DDoS attacks in cloud computing environments.

“Distributed intrusion detection system in the cloud environment based on Apache Kafka and Apache Spark”
Ouhssini, M., Afdel, K., Idhammad, M., Agherrabi, E.
5th International Conference on Intelligent Computing in Data Sciences, ICDS 2021, 2021
This conference paper discusses a distributed intrusion detection system leveraging Apache Kafka and Apache Spark, cited 4 times.

“Towards a Proactive System of DDoS Attacks Detection in the Cloud”
Ouhssini, M., Afdel, K., Agherrabi, E.
Advances in Intelligent Systems and Computing, 2021, 1383 AISC, pp. 921–933
This conference paper explores a proactive system for detecting DDoS attacks in the cloud, aimed at enhancing security measures.

Author Metrics 📊 : 

Mohamed’s research contributions are reflected in his author metrics, with notable presence on platforms such as ORCID, ResearchGate, and Google Scholar. His Google Scholar profile, for example, showcases numerous citations and a strong h-index, highlighting the influence of his work in the academic community.

📅 Research Timeline:

Since obtaining his Master’s degree in 2017, Mohamed has consistently advanced his research in computer science. Over the past seven years, he has developed and refined methodologies for enhancing cloud security and mitigating DDoS attacks. His research timeline illustrates a dedicated effort to address pressing issues in cybersecurity through innovative solutions and collaborative projects.