1. Research Area

Big Data creates big and interesting problems!!!

DataLab focuses on analyzing huge volumes of data for understanding behaviors of humans and things. Primary research of DataLab covers a wide range of topics in big data managements and analytics.

- Overview of research area

√ Big data analysis and management for distributed/heterogenous data sources

√ Efficient query processing algorithms and index structures on Big data

√ Enhancing the quality and fairness of Big data based on deep learng approahes

√ Improving the performance of Blockchain databases

- Keyword

√ Big data management and processing

√ Deep Learning, Data mining, Bid Data analytics

√ Data quality and fairness

√ Distributed query processing, Index Structures

√ Blockchain database

2. Research Overview

- Development of a distributed query processing and deep analysis framework for mobility big data based on a deep learning model (2020.06.01.-2030.05.31, 10 years, PI)

- Development of data improvement and dataset correction technology based on data quality assessment (2020.04.01.-2021.12.31., PI)

- Smart Museum project: Development of the artificial intelligence system of visitors' trajectory big data for operation of a smart museum (2018.07.01.-2020.12.31., PI)

- The big-data real-time system of social phenomena monitoring and social simulation for risk management of a hyper-connected society, Convergence Research Center (CRC) project (2018.08.01.-2022.02.29., Co-PI)

- Blockchain ITRC center (2020.07.01.-2022.12.31, Co-PI)

3. Research Achievements

- Recent internaltion journal publications (after 2017)

- Hani Ramadhan, Fitri Indra Indikawati, Joonho Kwon, Bonyong Koo, MusQ: A Multi-Store Query System for IoT Data Using a Datalog-Like Language. IEEE Access 8: 58032-58056 (2020)

- Hani Ramadhan, Yoga Yustiawan, Joonho Kwon, Applying Movement Constraints to BLE RSSI-Based Indoor Positioning for Extracting Valid Semantic Trajectories. Sensors 20(2): 527 (2020)

- Muhammad H Murdani, Joonho Kwon, Yoon-Ho Choi, Bonghee Hong, Efficient Proximity Computation Techniques Using ZIP Code Data for Smart Cities. Sensors 18, no. 4: 965. (2018)

- Putu Wiramaswara Widya, Yoga Yustiawan, Joonho Kwon, A oneM2M-Based Query Engine for Internet of Things (IoT) Data Streams. Sensors 18(10): 3253 (2018)

- Fadhilah Kurnia Putri, Giltae Song,Joonho Kwon, Praveen Rao, DISPAQ: Distributed Profitable-Area Query from Big Taxi Trip Data, Sensors, vol 17(10), 2201 (2017)

- Titus Irma Damaiyanti, Ardi Imawan, Fitri Indra Indikawati, Yoon-Ho Choi, Joonho Kwon, A similarity query system for road traffic data based on a NoSQL document store. Journal of Systems and Software 127: 28-51 (2017)

- Jae-Young Yang, Ledan Wu, Yafeng Zhou, Joonho Kwon, Han-You Jeong, Maximizing the Throughput of Wi-Fi Mesh Networks with Distributed Link Activation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(11): 2425-2438 (2017)

- Lewis Nkenyereye, Joonho Kwon, Yoon-Ho Choi, Secure and Lightweight Cloud-Assisted Video Reporting Protocol over 5G-Enabled Vehicular Networks. Sensors 17(10): 2191 (2017)