Professor at Feng Chia University, Taiwan
Profiles:
🎓Early Academic Pursuits
Chih-Cheng Chen was born on October 28, 1973, and from a young age, he exhibited a keen interest in engineering and technology. This passion led him to pursue higher education in the field of Mechatronics Engineering. He earned his Master of Science (M.S.) degree from the Department of Mechatronics Engineering at the National Changhua University of Education (NCUE) in Taiwan in 2006. Following this, he continued his academic journey at the same institution, earning a Ph.D. in Mechatronics Engineering in 2011. Throughout his academic training, Chih-Cheng Chen focused on developing a strong foundation in interdisciplinary fields, combining mechanical engineering, electronics, and computer science. His graduate research laid the groundwork for his future contributions to the fields of the Internet of Things (IoT), deep learning, and intelligent data systems.
👨💻Professional Endeavors
After completing his Ph.D., Dr. Chih-Cheng Chen embarked on a diverse and impactful academic career. He began his professional journey as an Assistant Professor at several institutions in Taiwan, including the National Chin-Yi University of Technology (NCUT), Chung Shan Medical University, and Chaoyang University of Technology. His roles at these institutions from 2011 to 2017 provided him with rich experience in teaching, research, and collaboration across various fields of engineering and technology.
In 2017, Dr. Chen’s career took a significant step forward when he was appointed as an Associate Professor at the School of Information Engineering at Jimei University in Xiamen, China. His expertise and leadership in the field were soon recognized, and by 2020, he was promoted to the position of Professor. At Jimei University, he has been instrumental in leading research and academic programs that focus on emerging technologies such as IoT, deep learning, and intelligent systems. He also served as a Research Fellow at the RFID and IoT Laboratories of Lee Ching Co., Ltd. in Taichung, Taiwan, from 2007, where he worked on cutting-edge projects in RFID technology and IoT systems.
🔬Contributions and Research Focus
Dr. Chih-Cheng Chen’s research contributions are both broad and impactful, spanning across several key areas in modern engineering and technology. His work primarily revolves around the Internet of Things (IoT), deep learning, big data, RFID (Radio-Frequency Identification), and data mining. He has been particularly focused on the development and application of AI-driven IoT systems, with a special interest in areas such as ZIGBEE, AI IoT sensor design, and system integration. His projects have often merged these technologies to create innovative solutions for real-world problems, particularly in intelligent manufacturing, autonomous driving, and intelligent transportation systems.
🏆Accolades and Recognition
Throughout his career, Dr. Chih-Cheng Chen has been recognized for his academic excellence and contributions to the field of engineering. He has published over 46 academic articles in prestigious journals, including IEEE Access and MDPI, and he holds three patents for his innovative work. His research has not only been published but has also received significant funding and support from various institutions. Notably, he has led several projects funded by the National Natural Science Foundation of China and Fujian Province, further underscoring the impact and relevance of his work.
Dr. Chen’s leadership in the academic community is also evident in his roles as a program committee chair and workshop co-chair for various international conferences, including the IEEE International Conference on Information, Communication, and Engineering (ICICE). His contributions to these conferences have helped shape the discourse in his field and foster collaboration among researchers worldwide.
🌍Impact and Influence
Dr. Chih-Cheng Chen’s work has had a profound impact on both academia and industry. His research in IoT, deep learning, and information security has influenced the development of new technologies and methodologies in these fields. His contributions to intelligent manufacturing and autonomous driving have potential applications in various industries, from automotive to aerospace, where the need for advanced, AI-driven systems is rapidly growing.
🌟Legacy and Future Contributions
As Dr. Chih-Cheng Chen continues his work at Jimei University, his legacy as a researcher, educator, and innovator is firmly established. His contributions to IoT, deep learning, and information security will undoubtedly continue to influence these fields for years to come. Looking ahead, Dr. Chen is likely to further explore the intersection of these technologies, pushing the boundaries of what is possible in intelligent systems and AI applications. His ongoing research projects, such as those funded by Fujian Province’s high-level talent introduction plans, suggest that he will continue to play a pivotal role in advancing technology and fostering innovation.
📖Publications:
Paper Title: Bibliometric analysis on tendency and topics of artificial intelligence over last decade
- Authors: Gao, F., Jia, X., Zhao, Z., Geng, Z., Song, X.
- Journal: Microsystem Technologies
- Year: 2021
Paper Title: Analysis of functional brain network based on electroencephalography and complex network
- Authors: Bin, S., Sun, G., Chen, C.-C.
- Journal: Microsystem Technologies
- Year: 2021
Paper Title: Investigation of undoped ZnO@SiO2 core–shell phosphors with green luminescence
- Authors: Yuan, Z.-S., Lin, C.-Y., Sun, S.-H., Yang, C.-F., Chen, C.-C.
- Journal: Microsystem Technologies
- Year: 2021
Paper Title: Effect of different temperatures to remove reduction gas on the photoluminescence properties of Eu-doped Li2(Ba1-xSrx)SiO4 phosphors
- Authors: Li, J., Lu, Y.-M., Yang, Q.-H., Chen, C.-C., Houng, M.-P.
- Journal: Luminescence
- Year: 2021
Paper Title: Improved AND/OR Tree Search Algorithm in Analysis of Stochastic and Time-Dependent Shortest Path Problem
- Authors: Xie, Z.-Y., He, Y.-R., Jiang, Y.-T., Chen, C.-C.
- Journal: Scientific Programming
- Year: 2021