Our research topics
IoT and Networks
Welcome to Ailee 2024 Smart & Connected Car!
Ailee 2024 ushers in a new era of smart and connected cars by combining innovative technologies with outstanding engineering. Our vision is to make cities smarter and safer.
City sensing and analysis technology will play a major role in understanding the city's situation in real time and taking optimal measures by collecting and analyzing various data generated in the city. This includes the development of Edge AI Accelerator for city sensing and city anomaly detection service. Mobile interactive media technologies facilitate interactions between smart & connected cars and citizens.
With the power of technology, we will strive to make cities smarter based on connected car projects. We hope that our smart & connected cars will shine with the hopes and expectations of future cities.
Since our establishment in February 2002, our Lab has been actively engaged in the study of real-time and embedded systems, Internet of Things (IoT), and Artificial Intelligence (AI). Originally known as the real-time and embedded systems Lab (RESL), we gained recognition in 2005 when we were selected as the 7th member of Auto-ID Labs (autoidlabs.org), a global organization focused on Ubiquitous Sensor Networks (USN). In 2007, we also became a National Research Lab (NRL) of Korea. In 2017, reflecting our evolving research scope, we rebranded our lab as the Data Engineering and Analytics Lab (DEAL). We have expanded our research interests to include a broader range of topics such as IoT, Machine Learning, Data Engineering, and Blockchain.
At DEAL, we strive to stay at the forefront of technological advancements and contribute to the development of cutting-edge solutions in these areas. Our dedicated team of researchers and experts collaborates closely with industry partners and academic institutions to drive innovation and address real-world challenges. Through our research and development efforts, we aim to unlock the potential of emerging technologies, drive digital transformation, and shape the future of data-driven decision-making. We look forward to continuing our journey of exploration, discovery, and impactful contributions to the ever-evolving landscape of real-time systems, IoT, AI, and data analytics.
We are looking for possible collaborators or sponsors and qualified students and researchers in computer science and engineering area. If you have interested in joining us please don’t hesitate to contact Prof. Daeyoung Kim