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Name NICO Surantha
Official Title Lecturer
Affiliation Department of Electrical, Electronic and Communication Engineering
E-mail nico@tcu.ac.jp
Web
  1. https://www.risys.gl.tcu.ac.jp/Main.php?action=profile&type=detail&selected_lang=E&tchCd=5002214000
  2. https://www.comm.tcu.ac.jp/ubiqintelsyslab/
  3. https://researchmap.jp/nicosurantha
Profile Nico Surantha received the B.Eng. and M. Eng. degrees from the Department of Electrical Engineering, Bandung Institute of Technology, Indonesia, in 2007 and 2009, respectively. He also received a Ph.D. degree from the Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Japan, in 2013. From 2012-2015, He worked for Radrix, Co. Ltd, a Fukuoka-based venture company that provides solutions for digital communication systems as an R&D engineer. From 2015-2016, he worked as a postdoctoral fellow at the Kyushu Institute of Technology. From 2016-2021, he worked as an assistant professor at BINUS Graduate Program, Master of computer science, Bina Nusantara University, Indonesia. He is currently working as a full-time lecturer with the Department of Electrical, Electronics, and Communication Engineering, at Tokyo City University, Japan.

His research interests include artificial intelligence, ubiquitous computing, intelligent systems, and the Internet of things. He has published over 80 international journals and conference papers in electronics, computer science, and information technology. Currently, he is serving as a research expert committee at the IEICE Smart Info Media System Society. He has also been serving as an editor in several journal papers, general chair, and technical program committee in international conference events. He also actively serves as a reviewer for some journals such as IEEE, IEICE, and Springer.

During his graduate school study, he conducted research on signal processing for wireless communication systems. He also has experience developing system-on-chip (SoC) for wireless local area network (WLAN) applications. Currently, he is managing a research lab named Ubiquitous Intelligent System Lab. This lab focuses on the design, development, and evaluation of ubiquitous computing and intelligent system to solve the human being problem. The research can be applied to smart healthcare systems to promote health awareness among society and various internet of things applications towards smart cities.
Research Field(Keyword & Summary)
  1. Keyword: Ubiquitous Computing; Intelligent Systems; Internet-of-Things; Artificial Intelligence

    Summary: The research is conducted in data analysis using machine learning and deep learning algorithm, the development of artificial intelligence solutions on edge computing devices to support real-time and low-cost data analysis, and the development of applications or services to provide feedback on data analysis to users.

    Currently, we are conducting research on the following topics:
    1. Digital transformation on power transmission line inspection using autonomous drone and deep learning.
    2. Smart home energy management using IoT and deep learning
    3. Artificial intelligence on edge computing for health monitoring
Representative Papers
  1. 1. “Intelligent Sleep Monitoring System based on Microservices and Event-Driven Architecture,” in IEEE Access 2022, doi: 10.1109/ACCESS.2022.3167637.
  2. 2.Multiple time series database on microservice architecture for IoT-based sleep monitoring system. Journal of Big Data. 2022 Dec;9(1):1-9.
  3. 3. “Sleep Stage Classification using Extreme Learning Machine and Particle Swarm Optimization for Healthcare Big Data”, Journal of Big Data, Springer Open, Vol. 8, No. 14, 2021. https://doi.org/10.1186/s40537-020-00406-6.
  4. 4. ENHANCING HEALTH MONITORING SYSTEM PERFORMANCE WITH GEO-IP DNS BASED LOAD BALANCING. Int J Innov Comput Inf Control ICIC Int c. 2021;17(6):1937–53.
  5. 5. High-Performance and Resource-Efficient IoT-based Sleep Monitoring System. In2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) 2020 May 25 (pp. 1-5). IEEE.
  6. 6. “SoC design with HW/SW co-design methodology for wireless communication system,” Communications and Information Technologies (ISCIT), 2017 17th International Symposium on, Cairns, Australia, Sept. 2017.
  7. 7. Nutrient Film Technique-Based Hydroponic Monitoring and Controlling System Using ANFIS. Electronics 2023, 12, 1446. https://doi.org/10.3390/electronics12061446
  8. 8. “Arrhythmia Classification using 2D Convolutional Neural Network” International Journal of Advanced Computer Science and Applications(IJACSA), 11(4), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110427
  9. 9. “IoT System for Sleep Quality Monitoring using Ballistocardiography Sensor” International Journal of Advanced Computer Science and Applications (IJACSA), 11(1), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110126
  10. 10. “Digital Transformation on Power Transmission Line Inspection using Autonomous Drone and Deep Learning,” 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI), Singapore, Singapore, 2022, pp. 80-86, doi: 10.1109/RAAI56146.2022.10092983.
Patent
  1. “チャネル推定装置およびチャネル推定プログラム,” 特開 2014-158113, Aug. 28, 2014, 特願 2013-027126, Feb. 14, 2013.
Award 1. Best presentation award at IEEE RAAI (2022)
2. Publons Peer Review Award (2018)
3. Best presenter award at ICCSCI (2018)
Research Grants/Projects including subsidies, donations, grants, etc. 東京都市大学の2023年度「重点推進研究-若手研究」2023 Tokyo City University (Priority Promotion Research – Young Researcher), Title: “Digital transformation of transmission line inspection using autonomous drones and deep learning”
Affiliated academic society (Membership type) IEEE (Member), IEICE (Member)
Education Field (Undergraduate level) Electrical and Electronics Engineering
Education Field (Graduate level) Electrical and Electronics Engineering

Affiliation