Research Scholar at University of Kashmir, India.
Chao-Tung Yang is a distinguished academic and researcher specializing in cloud computing, big data, edge computing, and AIoT. With a Ph.D. in Computer Science from National Chiao Tung University, Yang currently serves as a Lifetime Distinguished Professor at Tunghai University and Dean of the Office of Library and Information Services. His career is highlighted by numerous awards, including the Outstanding Teaching Award and Outstanding Industry Contribution Award, recognizing his significant contributions to research and industry. Yang’s extensive collaboration with national and international institutions, combined with his applied research in cutting-edge technologies, underscores his impact in advancing the field. His work, although not directly related to environmental health or vector control, contributes to technological advancements that can support various sectors. Yang’s accolades and influential research make him a strong candidate for the Research for Best Researcher Award.
Education🎓
Chao-Tung Yang’s educational background is robust and reflects a strong foundation in computer science. He earned his Ph.D. in Computer Science from National Chiao Tung University in Hsinchu City, Taiwan, in June 1996, following an M.S. in the same field from the same institution in June 1992. Prior to this, he completed his B.Sc. in Computer Science at Tunghai University in Taichung City, Taiwan, in June 1990. This comprehensive education provided Yang with a deep understanding of computer science principles and advanced technologies, laying the groundwork for his subsequent research and professional achievements. His academic journey highlights a continuous pursuit of knowledge and expertise in computer science, which has significantly contributed to his distinguished career in the field.
Professional Experience 🏢
Chao-Tung Yang boasts an impressive career in academia and research, marked by his current role as Lifetime Distinguished Professor in the Department of Computer Science at Tunghai University. His extensive professional experience includes serving as Dean of the Office of Library and Information Services since early 2023 and previously holding distinguished positions such as Director of the Computer Center and Director General of the Library at the same institution. Yang’s leadership extended to the National Center of High-performance Computing and various research centers, demonstrating his commitment to advancing technology. His prior roles include Associate Researcher at the National Space Organization and Assistant Engineer at Taipei Rapid Transit Corporation, showcasing his diverse background. Yang’s tenure in both administrative and research capacities highlights his significant contributions to the field of computer science, emphasizing his expertise in cloud computing, big data, and AIoT.
Environmental Health
Chao-Tung Yang’s research primarily focuses on cloud computing, big data, and AIoT, with less direct emphasis on environmental health. However, his work significantly contributes to the broader field by enhancing data management and analytical capabilities. Advanced cloud computing and big data technologies developed through Yang’s research can be utilized to improve environmental health monitoring and analysis. For example, his innovations in data processing and storage can support large-scale environmental data analytics, leading to better understanding and management of environmental health issues. By enabling efficient data collection, analysis, and visualization, Yang’s contributions have the potential to support research on environmental pollution, disease outbreaks, and public health interventions. Thus, while not directly addressing environmental health, Yang’s technological advancements offer valuable tools that can be applied to environmental health research and practice, facilitating more informed decision-making and interventions.
Research Interests 🔬
Chao-Tung Yang’s research interests lie primarily in the realms of cloud computing, big data, edge computing, and the Internet of Things (AIoT). His work focuses on developing innovative technologies and methodologies that advance these areas, aiming to enhance computational efficiency and data management. Yang explores novel approaches to optimizing cloud infrastructure, leveraging big data analytics for meaningful insights, and integrating edge computing to improve processing capabilities at the network’s edge. His research also encompasses the intersection of AIoT, where he investigates how artificial intelligence can be applied to Internet of Things systems to create smarter and more responsive applications. Through his extensive research, Yang contributes to the evolution of these technologies, addressing both theoretical and practical challenges. His work not only advances the academic understanding of these fields but also supports their application in various industry contexts, driving technological progress and innovation.
Geographic Impact
Yang’s work has had a notable impact on the technological landscape in Taiwan and beyond. His contributions to cloud computing and big data are relevant globally, reflecting the international relevance of his research. His role as a distinguished professor and researcher at Tunghai University has influenced technological advancements and education in his region and potentially on a broader scale.
Chao-Tung Yang has earned numerous prestigious awards and honors throughout his distinguished career, underscoring his significant contributions to the field of computer science. Notably, he received the Outstanding Teaching Award and the Outstanding Industry Contribution Award from the Institute of Engineering Education Taiwan (IEET) and Taiwan Association of Cloud Computing (TACC), respectively, in 2023. His exceptional achievements have also been recognized with the Medal of Honor Award by the International Institute of Computational Mathematics (IICM) and multiple Outstanding Engineering Professor Awards from the Chinese Institute of Engineers. Yang’s dedication to research and teaching is further highlighted by his numerous accolades from Tunghai University, including the Outstanding Research Paper Award and Excellent Industry-Academic Cooperation Award. His contributions have also been acknowledged through awards for his theses and papers, demonstrating his impactful work in cloud computing and big data.
Chao-Tung Yang possesses exceptional research skills that have significantly advanced the fields of cloud computing, big data, and AIoT. His expertise includes designing and implementing complex computing systems, analyzing large datasets, and developing innovative algorithms for data processing and management. Yang’s proficiency in cloud architecture and edge computing enables him to create scalable and efficient solutions for diverse technological challenges. He is adept at integrating emerging technologies with existing systems, enhancing their functionality and performance. His strong analytical skills are demonstrated through his ability to tackle complex problems and produce impactful research outcomes. Yang’s experience in leading research projects and collaborating with national and international institutions further highlights his capability to drive significant advancements in his field. His extensive publication record and numerous awards underscore his proficiency and leadership in research, making him a distinguished figure in his areas of expertise.
Chao-Tung Yang is a strong candidate for the Research for Best Researcher Award due to his significant contributions to cloud computing, big data, and AIoT. His extensive experience, collaborative efforts, and numerous awards reflect his excellence and impact in the field. While his research does not directly address some specific areas such as environmental health or vector control, his technological advancements have the potential to support and enhance research in these fields. His recognition and awards further validate his suitability for this prestigious award.
Publications Top Notes 📚
- Hybrid CUDA, OpenMP, and MPI Parallel Programming on Multicore GPU Clusters
- Authors: CT Yang, CL Huang, CF Lin
- Journal: Computer Physics Communications
- Year: 2011
- Volume: 182
- Issue: 1
- Pages: 266-269
- Citations: 200
- Implementation of an Intelligent Indoor Environmental Monitoring and Management System in Cloud
- Authors: CT Yang, ST Chen, W Den, YT Wang, E Kristiani
- Journal: Future Generation Computer Systems
- Year: 2019
- Volume: 96
- Pages: 731-749
- Citations: 127
- Wiki-Based Rapid Prototyping for Teaching-Material Design in e-Learning Grids
- Authors: WC Shih, SS Tseng, CT Yang
- Journal: Computers & Education
- Year: 2008
- Volume: 51
- Issue: 3
- Pages: 1037-1057
- Citations: 115
- Implementation of a Medical Image File Accessing System on Cloud Computing
- Authors: CT Yang, LT Chen, WL Chou, KC Wang
- Conference: 2010 13th IEEE International Conference on Computational Science and Engineering
- Year: 2010
- Citations: 101
- On Improvement of Cloud Virtual Machine Availability with Virtualization Fault Tolerance Mechanism
- Authors: CT Yang, JC Liu, CH Hsu, WL Chou
- Journal: The Journal of Supercomputing
- Year: 2014
- Volume: 69
- Pages: 1103-1122
- Citations: 83
- Lifetime Elongation for Wireless Sensor Network Using Queue-Based Approaches
- Authors: FC Jiang, DC Huang, CT Yang, FY Leu
- Journal: The Journal of Supercomputing
- Year: 2012
- Volume: 59
- Pages: 1312-1335
- Citations: 77
- A Parallel Loop Self-Scheduling on Grid Computing Environments
- Authors: KW Cheng, CT Yang, CL Lai, SC Chang
- Conference: 7th International Symposium on Parallel Architectures, Algorithms and Networks
- Year: 2004
- Citations: 68
- Accessing Medical Image File with Co-Allocation HDFS in Cloud
- Authors: CT Yang, WC Shih, LT Chen, CT Kuo, FC Jiang, FY Leu
- Journal: Future Generation Computer Systems
- Year: 2015
- Volume: 43
- Pages: 61-73
- Citations: 63
- Integrating Grid with Intrusion Detection
- Authors: FY Leu, JC Lin, MC Li, CT Yang, PC Shih
- Conference: 19th International Conference on Advanced Information Networking and Applications
- Year: 2005
- Citations: 57
- Implementation of a Big Data Accessing and Processing Platform for Medical Records in Cloud
- Authors: CT Yang, JC Liu, ST Chen, HW Lu
- Journal: Journal of Medical Systems
- Year: 2017
- Volume: 41
- Pages: 1-28
- Citations: 56