Oskar Natan @ UGM

Oskar Natan @ UGM

Oskar Natan （オスカー ナタン）
Asst. Professor, PhD in Engineering

Embedded Systems and Robotics Laboratory
Department of Computer Science and Electronics
Faculty of Mathematics and Natural Sciences
Universitas Gadjah Mada

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

Profiles

Oskar Natan received the BASc degree in electronics engineering and the MAEng degree in electrical engineering from Politeknik Elektronika Negeri Surabaya, Indonesia, in 2017 and 2019, respectively, and the PhD(Eng) degree in computer science and engineering from Toyohashi University of Technology, Japan, in 2023. Since January 2020, he has been affiliated with the Department of Computer Science and Electronics, Universitas Gadjah Mada, Indonesia, first as a Lecturer and currently an Assistant Professor. He has been serving as a reviewer/TPC for some reputable journals and conferences. His research interests include sensor fusion, deep learning, hardware acceleration, and end-to-end systems.
  1. Toyohashi University of Technology (TUT), Japan
    • PhD in Engineering (Computer Science and Engineering), Oct. 2020 – Sep. 2023 [MEXT Scholarship]
  2. Politeknik Elektronika Negeri Surabaya (PENS), Indonesia
    • Master of Applied Engineering (Electrical Engineering), Sep. 2017 – Aug. 2019 [PENS Scholarship]
    • Bachelor of Applied Science (Electronics Engineering), Sep. 2013 – Aug. 2017
  1. Institute of Electrical and Electronics Engineers (IEEE)
    • IEEE Japan Chapter, Nagoya Section (IEEE-JP Nagoya)
    • 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)
  3. Indonesia AI Society (IAIS)
  4. Indonesia Chip Design Collaborative Center (ICDeC)
  5. Indonesian Industrial Robot Association (IIRA)
  1. SINTA: 6736922
  2. Scopus: 57206893471
  3. Web of Science: AAY-1107-2020
  4. Google Scholar: BRjk9YYAAAAJ
  5. PDDikti: Oskar Natan
  6. ResearchGate: Oskar-Natan
  7. ORCID: 0000-0003-3896-0448
  8. GitHub: oskarnatan

Activities

Peer-reviews

  1. IEEE Trans. on Intelligent Vehicles (T-IV)
  2. IEEE Trans. on Intelligent Transportation Systems (T-ITS)
  3. IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT)
  4. IEEE Robotics and Automation Letters (RA-L)
  5. IEEE Sensors Journal (Sensors)
  6. IEEE Access (Access)
  1. Robotics and Autonomous Systems (Robot)
  2. Engineering Applications of Artificial Intelligence (EAAI)
  3. Expert Systems with Applications (ESWA)
  4. Array (Array)
  5. SoftwareX (SoftX)
  1. International Journal of Intelligent Robotics and Applications (IJIRA)
  2. Journal of Real-Time Image Processing (JRTIP)
  3. Signal, Image and Video Processing (SIVP)
  4. International Journal of Machine Learning and Cybernetics (IJMLC)
  5. The Journal of Supercomputing (SuperComp)
  6. Environmental Science and Pollution Research (ESPR)
  1. Advanced Robotics (TADR)
  2. Cybernetics and Systems (CyberSys)
  3. Cogent Engineering (CoEn)
  1. Scientific Reports (SRep)
  2. Plos One (POne)

TPCs

  1. IEEE Int. Conf. on Robotics and Automation (ICRA)
  2. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)
  3. IEEE Int. Conf. on Intelligence and Safety for Robotics (ISR)
  4. IEEE Int. Conf. on Control and Robotics Engineering (ICCRE)
  5. IEEE Int. Conf. on Computer and Information Technology (ICCIT)
  6. IEEE Int. Electronics Symposium (IES)
  7. IEEE Int. Conf. on Recent Progresses in Science, Engineering and Technology (ICRPSET)
  1. ACM International Conference on Computational Intelligence and Intelligent Systems (CIIS)
  1. Int. Conf. on Science and Technology (ICST)
  2. Int. Conf. on Smart Mechatronics (ICSMech)

Talks

  1. “Artificial Intelligence in Autonomous Vehicles and Mobile Robotics”, Prodi Teknik Elektro UNRIYO, Oktober 2024.
  2. “Workshop on Imitation Learning/Behavior Cloning for Autonomous Navigation”, Pusat Riset Mekatronika Cerdas BRIN, September 2024.
  3. “Recent Advancement in Autonomous Driving Technology”, DCSE Seminar 2 UGM, June 2024.
  4. “Towards Advanced AI: End-to-end Autonomous Driving”, Festival Elektronika dan Instrumentasi HMEI, February 2024.
  5. Guest Lecture on AI Hardware and Acceleration, MSIB 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]
  6. “Tutorial and Workshop on Deep Learning for Image Segmentation using Python”, Pascasarjana Terapan PENS, September 2020.

Publications

International Journals

  1. A. E. Putra, O. Natan, and J. E. Istiyanto, “Efficient FPGA Resource Allocation for SHA-3 Implementation with DSP48 and Pipeline Techniques,” IIUM Engineering Journal, vol. x, no. x, pp. x-x, MM. 2025. [accepted]
  2. 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. 15, no. 10, pp. 989-997, Oct. 2024. [paper]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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 Conferences

  1. A. A. G. Y. Pramana, H. M. Zidan, M. F. Maulana, O. Natan, “ESDS: AI-Powered Early Stunting Detection and Monitoring System using Edited Radius-SMOTE Algorithm,” in Proceedings of the ACM International Conference on Computational Intelligence and Intelligent Systems (CIIS), Nagoya, Japan, Nov. 2024, pp. x-x. [paper] [video]
  2. 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 IEEE International Symposium on Industrial Electronics (ISIE), Ulsan, South Korea, Jun. 2024, pp. 1-6. [paper] [video] [SYPA award]
  3. 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 IEEE International Conference on Control and Robotics Engineering (ICCRE), Osaka, Japan, May 2024, pp. 157-161. [paper] [video]
  4. 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]
  5. 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]
  6. 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 Journals

  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]

Preprints

  1. J. T. Amael, J. E. Istiyanto, O. Natan, “Enhancing Industrial Cybersecurity: SoftHSM Implementation on SBCs for Mitigating MITM Attacks,” arXiv:2409.09948, 2024. [paper]
  2. J. T. Amael, O. Natan, J. E. Istiyanto, “High-Security Hardware Module with PUF and Hybrid Cryptography for Data Security,” arXiv:2409.09928, 2024. [paper]
  3. O. Natan and J. Miura, “DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle,” arXiv:2307.06647, 2023. [paper] [code] [video]

Intellectual Properties

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