Oskar Natan

Oskar Natan

Oskar Natan（オスカー ナタン）
Asst. Prof. at the Department of Computer Science and Electronics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada. Member of the Embedded Systems and Robotics Laboratory.

〶 Sekip utara, Bulaksumur, Yogyakarta – 55281, Indonesia
✉ oskarnatan@ugm.ac.id

 

  1. Toyohashi University of Technology (TUT), Japan
    • PhD in Engineering (Computer Science and Engineering), Oct. 2020 – Sep. 2023
  2. Politeknik Elektronika Negeri Surabaya (PENS), Indonesia
    • Master of Applied Engineering (Electrical Engineering), Sep. 2017 – Aug. 2019
    • Bachelor of Applied Science (Electronics Engineering), Sep. 2013 – Aug. 2017
  1. Japan Monbukagakusho (MEXT) Scholarship
    • Issued by The Government of Japan in October 2020
  2. Visiting Student (to Japan Universities) Scholarship
    • Issued by PENS in October 2018
  3. PENS Postgraduate Scholarship
    • Issued by PENS in September 2017
  4. Best GPA Scholarship
    • Issued by PENS in February 2015
  1. Institute of Electrical and Electronics Engineers (IEEE)
    • IEEE Indonesia Section (IEEE-ID)
    • IEEE Young Professionals (IEEE-YP)
    • IEEE Intelligent Transportation Systems Society (IEEE-ITSS)
    • IEEE Robotics and Automation Society (IEEE-RAS)
  2. Indonesian Computer, Electronics and Instrumentation Support Society (IndoCEISS)

Office

Publications

Preprint

  1. O. Natan and J. Miura, “DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle,” arXiv:2307.06647, 2023. [paper] [code] [video]

International Journal

  1. A. E. Putra, O. Natan, and J. E. Istiyanto, “Enhancing CNN Deployment Efficiency on Mobile Devices with FPGA-based Accelerators: Memory-based Convolution and Resource Optimization,” ICIC Express Letters Part B: Applications, vol. x, no. x, pp. xxx-xxx, MM. 2024. [accepted]
  2. O. Natan and J. Miura, “DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real Environments,” IEEE Access, vol. 12, pp. 49590-49601, Apr. 2024. [paper] [code] [video]
  3. O. Natan and J. Miura, “End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 1, pp. 557-571, Jan. 2023. [paper] [code] (presented at IEEE IV2023)
  4. O. Natan and J. Miura, “Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 16249-16266, Sept. 2022. [paper] [code] (presented at IEEE IV2023)
  5. O. Natan, D. U. K. Putri, and A. Dharmawan, “Deep Learning-Based Weld Spot Segmentation Using Modified UNet with Various Convolutional Blocks,” ICIC Express Letters Part B: Applications, vol. 12, no. 12, pp. 1169-1176, Dec. 2021. [paper]
  6. O. Natan, A. I. Gunawan, B. S. B. Dewantara, and J. Ispianto, “Microorganism Estimation in a Shrimp Pond using Gaussian Process Regressor and Gradient Tree Boosting,” International Journal of Intelligent Engineering and Systems, vol. 13, no. 3, pp. 1-10, Jun. 2020. [paper]
  7. O. Natan, A. I. Gunawan, and B. S. B. Dewantara, “Design and Implementation of Embedded Water Quality Control and Monitoring System for Indoor Shrimp Cultivation,” EMITTER International Journal of Engineering Technology, vol. 7, no. 1, pp. 129-150, Jun. 2019. [paper]
  8. O. Natan, A. I. Gunawan, and B. S. B. Dewantara, “A New Feature Extraction Algorithm to Extract Differentiate Information and Improve KNN-based Model Accuracy on Aquaculture Dataset,” International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 3, pp. 999-1007, May. 2019. [paper]

International Conference Paper

  1. J. T. Amael, J. E. Istiyanto, Z. Hakim, R. H. Sari, A. Z. K. Frisky, and O. Natan, “Securing Ventilators: Integrating Hardware Security Modules with SoftHSM and Cryptographic Algorithms,” in Proceedings of the International Symposium on Industrial Electronics (ISIE), Ulsan, South Korea, Jun. 2024, pp. xxx-xxx. [accepted]
  2. Z. Hakim, O. Natan, R. H. Sari, J. T. Amael, A. Dharmawan, and J. E. Istiyanto, “6-DOF Arm Robot Control using Open-Source FPGA,” in Proceedings of the International Conference on Control and Robotics Engineering (ICCRE), Osaka, Japan, May 2024, pp. xxx-xxx. [accepted] [video]
  3. O. Natan and J. Miura, “Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception,” in Proceedings of the Asian Conference on Pattern Recognition (ACPR), Jeju Island, South Korea, Nov. 2021, pp. 352-365. [paper] [code]
  4. D. Yuswantoro, O. Natan, A. N. Angga, A. I. Gunawan, Taufiqurrahman, B. S. B. Dewantara, and M. A. Kurniawan, “Fuzzy Logic-based Control System for Dissolved Oxygen Control on Indoor Shrimp Cultivation,” in Proceedings of the IEEE International Electronics Symposium on Engineering Technology and Applications (IES-ETA), Bali, Indonesia, Oct. 2018, pp. 37-42. [paper]
  5. O. Natan, A. I. Gunawan, B. Sumantri, C. Wiryono, and A. Hendrawan, “SCADA-based Automation System for Steam Turbine Protection and Supervision,” in Proceedings of the IEEE International Electronics Symposium on Engineering Technology and Applications (IES-ETA), Bali, Indonesia, Oct. 2018, pp. 13-18. [paper]

National Journal

  1. O. Natan, A. I. Gunawan, and B. S. B. Dewantara, “Grid SVM: Aplikasi Machine Learning dalam Pengolahan Data Akuakultur,” Jurnal Rekayasa Elektrika, vol. 15, no. 1, pp. 7-17, Apr. 2019. [paper]

Intellectual Property

  1. A. I. Gunawan, Taufiqurrahman, O. Natan, and S. I. Ramdana, “Alat Ukur dan Notifikasi Kondisi Air pada Tambak Udang,” Patent no. IDS000002852, 2019. [link]

Guest Lecture & Others

  1. “Recent Advancement in Autonomous Driving Technology”, DCSE Seminar 2 (UGM & BRIN), June 2024.
  2. “Towards Advanced AI: End-to-end Autonomous Driving”, Festival Elektronika dan Instrumentasi, February 2024.
  3. Guest Lecture on AI Hardware and Acceleration, Bisa AI Academy, 2022.
    • “Multi-task AI on Google Colab: Simultaneous Image Segmentation and Depth Estimation”, December 2022. [code]
    • “Deep Learning on Field-programmable Gate Array (FPGA)”, November 2022. [course]
    • “How to Develop and Deploy AI Models”, October 2022.
    • “GPU-accelerated Semantic Image Segmentation with PyTorch”, September 2022. [code]
  4. “Tutorial and Workshop on Deep Learning for Image Segmentation using Python”, Pascasarjana Terapan PENS, September 2020.