Achievements

Publications:

Journal Paper

  1. Surantha N, Sutisna N. Key Considerations for Real-Time Object Recognition on Edge Computing Devices. Applied Sciences. 2025 Jul 4;15(13):7533.
  2. Surantha N. Real-Time Overhead Power Line Component Detection on Edge Computing Platforms. Computers. 2025;14(4):134.
  3. Simanjuntak E, Surantha N. Multiple time series database on microservice architecture for IoT-based sleep monitoring system. Journal of Big Data. 2022 Dec;9(1):1-9.
  4. N. Surantha, O. K. Utomo, E. M. Lionel, I. D. Gozali and S. M. Isa, “Intelligent Sleep Monitoring System based on Microservices and Event-Driven Architecture,” in IEEE Access, doi: 10.1109/ACCESS.2022.3167637.
  5. N. Surantha, T.F. Lesmana, S.M. Isa, “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.

Book Chapter

  1. Surantha N, Jansen VV. Sleep-Stage Identification Using Recurrent Neural Network for ECG Wearable-Sensor System. InCloud Computing in Medical Imaging 2023 (pp. 163-172). Auerbach Publications.

Conference Paper

  1. Y. Yokomine and N. Surantha, “Evaluation of Real-Time Train Overhead Line Component Detection on Edge Device,” 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Fukuoka, Japan, 2025, pp. 0055-0059, doi: 10.1109/ICAIIC64266.2025.10920705.
  2. N. Surantha, E. Yamashina, Y. Sato and T. Iwao, “Power Transmission Line Component Detection Using YOLOv7 on Single-Board Computer Platforms,” 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), Singapore, Singapore, 2024, pp. 1-6, doi: 10.1109/VTC2024-Spring62846.2024.10683056.
  3. Sato Y, Surantha N. Object Detection of Train Line Equipment using YOLOv7 on Jetson Devices. IEICE Proceedings Series. 2024 Dec 5;87(RS2-8).
  4. D. Majima and N. Surantha, “Object detection of Train Line Equipment using SSD and YOLOv7,” 2024 9th International Conference on Information Technology and Digital Applications (ICITDA), Nilai, Negeri Sembilan, Malaysia, 2024, pp. 1-5, doi: 10.1109/ICITDA64560.2024.10810078.
  5. Y. Hosono and N. Surantha, “Deep Learning Based Navigation System for Train Line Equipment Inspection Using Drones,” 2024 9th International Conference on Information Technology and Digital Applications (ICITDA), Nilai, Negeri Sembilan, Malaysia, 2024, pp. 1-7, doi: 10.1109/ICITDA64560.2024.10809405.
  6. Surantha N, Sukizaki Y, Yamashina E, Iwao T. Power Transmission Line Component Detection using YOLO V3 on Raspberry Pi. In2023 22nd International Symposium on Communications and Information Technologies (ISCIT) 2023 Oct 16 (pp. 139-144). IEEE. DOI: 10.1109/ISCIT57293.2023.10376097
  7. D. Majima, N. Surantha, “Object Detection of Train Overhead Line Equipment using Single Shot Multibox Detector,” 2023 International Workshop on Smart Info-Media Systems in Asia (SISA2023), Okinawa, Japan, 2023.
  8. T. Gibo, M. Maehata, N. Surantha, “An Integrated CNN and LSTM Model for Short-Term Power Demand Forecast,” 2023 International Workshop on Smart Info-Media Systems in Asia (SISA2023), Okinawa, Japan, 2023.
  9. N. Surantha, T. Iwao, Z. Ren and H. Morishita, “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.

Award:

  1. Best Presentation Award at The 2nd International Conference on Robotics, Automation, and Artificial Intelligence (RAAI 2022) 

Research Grants:

  1. 2025 NVIDIA Academic Grant Award, Title : “Real-Time Power Line Inspection Using Edge-AI and Drone”.
  2. 2024 Tateishi Science and Technology Foundation International Exchange Grant (Short-term Overseas Research), Title “Research on mitigating cybersecurity challenges in IoT-based healthcare systems.”
  3. Research Grant Name: 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)
    • Period : 2023-2024
    • Digital transformation of transmission line inspection using autonomous drones and deep learning”