Projects per year
Personal profile
Biography
Muhamad Risqi U. Saputra (Risqi) is Assistant Professor, Data Science, at Monash University, Indonesia. Previously, he was a postdoctoral research associate in the cyber-physical systems group, Department of Computer Science, at University of Oxford, United Kingdom (UK). He obtained his DPhil (PhD) in the same department at the University of Oxford. Prior to Oxford, he gained his master’s (MEng) and bachelor degrees at the Department of Electrical Engineering and Information Technology at Universitas Gadjah Mada, Indonesia.
In the professional space, he’s had experience working as a co-founder of an educational-technology startup company, lexipalindonesia.com, and as a senior data scientist in Jakarta Smart City. He’s received several awards from software development competitions, either nationally or internationally, including Indonesia ICT Awards (INAICTA), International ICT Innovative Services Contest (InnoServe) in Taiwan, and Asia Pacific ICT Alliance Awards (APICTA) in Brunei Darussalam.
Research interests
Risqi's main research interest revolves around the intersection between machine (deep) learning, computer vision, and cyber-physical systems, applied to a wide range of problems including navigation, positioning, mapping, object detection, or semantic segmentation, among others. Nevertheless, he is also keen to work in diverse interdisciplinary areas including, but not limited to, health science, assistive technology, smart cities, environmental monitoring, disaster prevention and management, intersecting with his main research interest.
Monash teaching commitment
ITI9136 Algorithms and Programming Foundations in Python
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, DPhil/PhD, University of Oxford
Award Date: 23 Jan 2021
Information Technology, MEng, Universitas Gadjah Mada (Gadjah Mada University)
Award Date: 22 Jan 2015
Electrical Engineering and Information Technology, BEng (ST), Universitas Gadjah Mada (Gadjah Mada University)
Award Date: 28 Aug 2012
Research area keywords
- Machine Learning
- Deep Learning
- Computer Vision
- Internet of Things (IoT)
Network
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Intelligent and Dynamic Remote Sensing For Sustainable Flood Risk Management and Policy
Saputra, R., Widita, A., Virani, A., Permanasari, E., Lechner, A., Prescott, M. & Marthanty, D. R.
1/09/22 → 31/08/23
Project: Research
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Deep odometry systems on edge with EKF-LoRa backend for real-time indoor positioning
Dai, Z., Saputra, M. R. U., Lu, C. X., Tran, V., Wijayasingha, L. N. S., Arif Rahman, M., Stankovic, J. A., Markham, A. & Trigoni, N., 2022, Proceedings - The 1st Workshop on Cyber Physical Systems for Emergency Response, CPS-ER 2022. Trigoni, N., Stankovic, J. & Markham, A. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Graph-based thermal-inertial SLAM with probabilistic neural networks
Saputra, M. R. U., Lu, C. X., Porto Buarque De Gusmao, P. P. B., Wang, B., Markham, A. & Trigoni, N., 1 Jun 2022, In: IEEE Transactions on Robotics. 38, 3, p. 1875-1893 19 p.Research output: Contribution to journal › Article › Research › peer-review
3 Citations (Scopus) -
SelfVIO: self-supervised deep monocular Visual–Inertial Odometry and depth estimation
Almalioglu, Y., Turan, M., Saputra, M. R. U., de Gusmão, P. P. B., Markham, A. & Trigoni, N., Jun 2022, In: Neural Networks. 150, p. 119-136 18 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile9 Citations (Scopus) -
Cut, Distil and Encode (CDE): Split cloud-edge deep inference
Sbai, M., Saputra, M. R. U., Trigoni, N. & Markham, A., 2021, 2021 18th IEEE International Conference on Sensing, Communication and Networking, SECON 2021. Chiaraviglio, L., Lu, C. & Romer, K. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 9 p. 9491600. (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops; vol. 2021-July).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
5 Citations (Scopus) -
VMLoc: variational fusion for learning-based multimodal camera localization
Zhou, K., Chen, C., Wang, B., Saputra, M. R. U., Trigoni, N. & Markham, A., 2021, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI-21. Leyton-Brown, K. & M. (eds.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), Vol. 35. p. 6165-6173 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 7).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile5 Citations (Scopus)