About AIoTCA Lab
AIoTCA LAB (Artificial Intelligence of Things and Communication Applications Laboratory) is dedicated to integrating and applying Artificial Intelligence (AI), the Internet of Things (IoT), and advanced communication technologies. Our mission is to bridge theoretical innovation with practical implementation, cultivating professionals equipped with strong technical expertise and real-world engineering capabilities.
The laboratory actively participates in national and international competitions and invention exhibitions, fostering hands-on system development and interdisciplinary integration skills. Through research-driven projects, students strengthen their abilities in system architecture design, algorithm development, and engineering implementation.
We are deeply engaged in industry–academia collaboration programs, patent development, and major scientific research projects. By aligning research with industrial demands, we enhance practical competence and ensure that technological innovations possess real-world applicability and translational value.
Academically, the laboratory strongly encourages publications in international journals and at conferences. We emphasize global academic engagement to broaden international perspectives, increase research visibility, and create opportunities for international collaboration. We have active cross-institutional partnerships with domestic and international universities, supporting joint research and resource sharing.
Research Areas Include (but are not limited to):
- Artificial Intelligence and Deep Learning Applications
- Intelligent IoT System Integration
- Wireless Communications and Smart Sensing Technologies
- Embedded Systems and Edge Computing
- Smart Cities and Intelligent Living Applications
With AI, IoT, and communication technologies, AIoTCA LAB is committed to creating solutions that make life smarter, more efficient, and more convenient.
Please note that the laboratory maintains a highly active schedule, including research projects, competitions, collaborative programs, and academic activities. Prospective members are strongly advised to carefully evaluate their time commitment, academic workload, and professional goals before initiating discussions regarding joining the lab.
We warmly welcome motivated, research-oriented students passionate about AI and intelligent IoT applications.
For inquiries regarding membership, please contact us via email. If you do not receive a response within one week, kindly resend your message, as high email volume may occasionally result in correspondence being missed. We sincerely appreciate your understanding.
Partners [Update: 2026-05-01]
- National Tsing Hua University, Taiwan
- National Taipei University of Education, Taiwan
- National Taipei University of Technology, Taiwan
- National Formosa University, Taiwan
- National Yunlin University of Science and Technology, Taiwan
- Tamkang University, Taiwan
- Asia Eastern University of Science and Technology, Taiwan
- Lunghwa University of Science and Technology, Taiwan
- Hungkuo Delin University of Technology, Taiwan
- Taipei Municipal Songshan High School of Agriculture and Industry, Taiwan
- LinkWen Electronics Co., Ltd., Taiwan
- Tunku Abdul Rahman University of Management and Technology, Malaysia
- Ningde Normal University, China
- Qian Wei New Energy Co., Ltd., China
[Notice] Our collaborations span diverse partners, including industry sectors, academic institutions (such as individual departments or research laboratories), professional associations, and legal entities. To ensure clarity and consistency in presentation, the following representation principles are applied: 1. When multiple departments within a single company are involved, the organization is represented by the company name as a whole. 2. Similarly, when collaborations extend across multiple departments or laboratories within an academic institution, the institution is represented by its official university or school name. 3. This approach makes partner classification easier while maintaining broad, deep collaboration and ensuring an accurate, consistent representation across the platform.