Chien-Lung Hsu | Healthcare | Best Researcher Award

Posted on by Academic achievements

Prof. Chien-Lung Hsu | Healthcare | Best Researcher Award

Professor at Chang-Gung University (CGU), Taiwan.

Dr. Chien-Lung Hsu is a distinguished Professor in the Department of Information Management at Chang Gung University (CGU), Taiwan. Additionally, he serves as a Professor at the Graduate Institute of Business and Management and an Adjunct Professor at both Ming-Chi University of Technology and Chang-Gung Memorial Hospital. He received his Ph.D. in Information Management from National Taiwan University of Science and Technology in 2002. Dr. Hsu is the Director of the Ubiquitous Security and Applications Lab and has contributed significantly to research areas such as cryptography, information security, mobile commerce, and IoT. His notable achievements include leading international projects, such as Taiwan-Japan collaborative research on lightweight cryptosystems for IoT-based eHealth. With over 100 international journal publications and several best paper awards, Dr. Hsu is highly regarded in his field. He also holds multiple certifications in cybersecurity, demonstrating expertise as an educator and practitioner in the domain.

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Education

Dr. Chien-Lung Hsu holds a Ph.D. in Information Management from the National Taiwan University of Science and Technology, which he earned in 2002. He also completed an M.S. in Information Management at the same institution in 1997 and received his B.S. in Business Administration in 1995. Dr. Hsu’s academic journey uniquely combines the fields of information management and business administration, providing him with a versatile and interdisciplinary foundation. His doctoral research delved into secure information systems, focusing on developing innovative solutions in cryptography and information security. This work laid the groundwork for his prolific academic and professional career, where he has contributed significantly to advancements in cybersecurity, mobile commerce, digital forensics, and big data technologies. In addition to his studies, Dr. Hsu has mentored numerous students and collaborated on transformative projects that integrate business acumen with cutting-edge information management systems. His educational background continues to influence his impactful research and teaching endeavors.

Experience

Dr. Hsu’s career spans academia, research, and industry collaboration. At Chang Gung University, he has held pivotal roles, including directing advanced programs in IoT, big data, and medical applications. Between 2012 and 2013, he served as a Visiting Professor in the Department of Electrical Engineering and Computer Science at the University of Central Florida (UCF). Dr. Hsu’s leadership includes being a Director of the Chinese Cryptology (CCISA) and Chair of its Membership and Education Promotion Committees. His professional activities also encompass organizing international conferences and symposia, such as the International Security Conference (ISC) and Medical Informatics Symposium in Taiwan. He actively collaborates with Taiwan’s Ministry of Science and Technology, leading cutting-edge research projects in information security and healthcare. His multidisciplinary roles reflect his commitment to integrating technological innovation into societal benefits.

Research Interests

Dr. Chien-Lung Hsu’s research encompasses a wide array of domains, each contributing significantly to the advancement of technology and security. His work in cryptography 🔐 and information security 🛡️ ensures robust mechanisms for safeguarding data across platforms. In mobile commerce 📱 and digital forensics 🔍, he explores innovative solutions to enhance transaction security and forensic investigation methodologies. Dr. Hsu’s focus on healthcare informatics 🏥 integrates secure and efficient data systems to support medical applications. Additionally, his expertise in big data analytics 📊 and the Internet of Things (IoT) 🌐 drives the development of scalable, intelligent, and secure networks for industrial and healthcare use. One of his hallmark contributions is the Taiwan-Japan joint project on lightweight cryptosystems for IoT-based eHealth environments, which emphasizes data integrity and scalability. By adopting an interdisciplinary approach, Dr. Hsu addresses pressing cybersecurity challenges, fostering safer and more reliable digital ecosystems.

Awards and Honors

Dr. Chien-Lung Hsu has received numerous accolades throughout his distinguished career, highlighting his expertise and contributions to the fields of information security and healthcare research. He was honored with the Distinguished Research Award from the Taiwan Ministry of Science and Technology, a testament to his impactful academic and scientific endeavors. Dr. Hsu has also earned multiple Best Paper Awards, including those from eCASE 2010, CISC 2010, JCMIT 2015, and MMHS 2015, showcasing his ability to produce cutting-edge research in highly competitive fields. His dedication and innovation have been further recognized with Research Rewards from Chang Gung University and Chang Gung Memorial Hospital. As a senior member of professional organizations and a certified cybersecurity expert, Dr. Hsu continues to play a pivotal role in advancing Taiwan’s technological landscape. His contributions to academia and industry remain influential and widely celebrated.

Publications

A Hierarchical Blockchain System for Social Economy Services

Authors: Chin, Y.-C.; Hsu, C.-L.; Lin, T.-W.; Tsai, K.-Y.

Year: 2024

Citations: 0

Design and Evaluation of Device Authentication and Secure Communication System with PQC for AIoT Environments

Authors: Chen, Y.-J.; Hsu, C.-L.; Lin, T.-W.; Lee, J.-S.

Year: 2024

Citations: 0

Technological Empowerment for Aging Workforce in Elderly Care Programs: Service Model Design and Development of an Elderly Care Shared Service Platform

Authors: Tsai, T.-H.; Lo, H.-Y.; Wu, S.-L.; Chen, Y.-P.; Hsu, C.-L.

Year: 2024

Citations: 0

ID-Based Deniable Authentication Protocol with Key Agreement and Time-Bound Properties for 6G-Based WBAN Healthcare Environments

Authors: Hsu, C.-L.; Nguyen, A.-T.; Cheng, G.-L.

Year: 2023

Citations: 0

Developing the “Healthcare CEO App” for Patients with Type 1 Diabetes Transitioning from Adolescence to Young Adulthood: A Mixed-Methods Study

Authors: Chiang, Y.-T.; Chang, C.-W.; Yu, H.-Y.; An, C.; Moons, P.

Year: 2023

Citations: 2

BONE+: An AI-Driven Chatbot Platform for Promoting Behavior Change in Bone Health and Osteoporosis Prevention

Authors: Tsai, T.-H.; Hsieh, Y.-S.; Ho, C.-S.; Pei, Y.-C.; Hsu, C.-L.

Year: 2023

Citations: 0

Privacy-Preserved Hierarchical Authentication and Key Agreement for AI-Enabled Telemedicine Systems

Authors: Lin, T.-W.; Hsu, C.-L.

Year: 2023

Citations: 2

A Hybrid Blockchain-Based Log Management Scheme with Nonrepudiation for Smart Grids

Authors: Le, T.-V.; Hsu, C.-L.; Chen, W.-X.

Year: 2022

Citations: 18

Evaluating Digital Divide Based on Big Wireless Logs: A Case Study among Remote Tribes in Taiwan

Authors: Chen, S.-H.; Li, H.-C.; Liaw, Y.-C.; Le, T.-V.; Luo, W.-L.

Year: 2022

Citations: 2

A Novel Three-Factor Authentication Protocol for Multiple Service Providers in 6G-Aided Intelligent Healthcare Systems

Authors: Le, T.-V.; Lu, C.-F.; Hsu, C.-L.; Chou, Y.-F.; Wei, W.-C.

Year: 2022

Citations: 24

Conclusion

Dr. C.L. Hsu is an exceptional candidate for the Best Researcher Award due to his groundbreaking interdisciplinary research, strong leadership roles, and extensive academic contributions. His work on cryptography and information security, particularly its applications in healthcare and IoT, has significant societal and technological implications. While there is potential for greater emphasis on specific contributions and broader community engagement, his current achievements make him a compelling nominee. Recognizing Dr. Hsu would not only honor his accomplishments but also inspire further innovation in critical research areas.

 

Anuridhi Gupta | Public health informatics | Women Researcher Award

Posted on by Academic achievements

Ms. Anuridhi Gupta | Public health informatics | Women Researcher Award 

Graduate Research Assistantships at George Mason University, United States

Anuridhi Gupta is a dedicated Ph.D. student and graduate research assistant specializing in Information Technology at George Mason University. Her academic journey reflects a consistent pursuit of excellence, marked by her inclusion on the dean’s list throughout her undergraduate studies in Computer Science. Currently pursuing her Ph.D. with a focus on applied machine learning, natural language processing, and social computing, Anuridhi is committed to leveraging technology for societal benefit.

Profile

Google scholar

Education

Anuridhi Gupta’s academic foundation is robust, beginning with her Bachelor of Science in Computer Science from George Mason University, where she was recognized for her exemplary performance as part of the dean’s list for all semesters. She subsequently earned her Master of Science in Applied Information Technology, concentrating on Cyber-Human Systems, further honing her expertise in the intersection of technology and human interaction. As she works towards her Ph.D. in Information Technology, she engages in groundbreaking research under the guidance of Dr. Hemant Purohit in the Humanitarian Informatics Lab, expected to be completed in 2026.

Experience

In her role as a graduate researcher at George Mason University, Anuridhi has significantly contributed to understanding and modeling human behavior through social media data analytics. Her research focuses on employing large language models to enhance scalability and reduce human effort in explainable stance detection. Additionally, she is involved in a National Science Foundation project aimed at developing effective approaches to protect individuals with developmental disabilities from cybercrimes in online social media environments. Anuridhi has also served as a teaching assistant, where she facilitated courses in SQL, Object-Oriented Programming, Data Structures, and Python, contributing to the academic development of her peers.

Research Interests

Anuridhi Gupta’s research interests are deeply rooted in applied machine learning, data mining, natural language processing, and social computing. Her work addresses critical issues such as bias detection in machine learning models, particularly in the context of cyber safety for vulnerable populations. Anuridhi explores how large language models can be harnessed to improve data analytics solutions and mitigate biases in online interactions. Her innovative approach to understanding human behavior and linguistic patterns on social media highlights her commitment to advancing knowledge in her field while prioritizing humanitarian outcomes.

Awards

Throughout her academic career, Anuridhi has been recognized for her contributions to research and academia. Her efforts have led to multiple accepted publications in prominent journals and conferences, underscoring her dedication to impactful research. Her work not only contributes to the academic community but also provides insights that are essential for societal advancement.

Publications

Anuridhi Gupta has authored and co-authored several significant publications that reflect her research focus and contributions to the field:

Bias Detection and Mitigation in Zero-Shot Spam Classification using LLMs (2024) – Accepted at the IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (IEEE-TPS).

Intent Mining Framework for Understanding Online Conversations on Vaping to Inform Social Media-based Intervention Design (2024) – Featured Article in Behavior and Information Technology Journal (BIT).

Summarizing Social Media News Streams for Crisis-related Events by Integrated Content-Graph Analysis: TREC-2023 CrisisFACTS Track (2023) – Presented at The Thirty-Second Text REtrieval Conference (TREC).

Conclusion

Anuridhi Gupta is a well-qualified candidate for the Research for Women Researcher Award. Her strong academic background, impactful research, and dedication to addressing societal issues align well with the award’s objectives. While there are opportunities for growth, particularly in expanding her impact and networking, her current achievements and commitment to advancing knowledge in her field make her an excellent nominee for this recognition.