Projects per year
Personal profile
Biography
Surya G. Nurzaman is a Senior Lecturer at Monash University Malaysia. He obtained his PhD in 2011 from Osaka University, Japan, with the support of the Monbukagakusho scholarship from the Japanese government. Before joining Monash in 2015, he was a Research Fellow in Osaka University (Japan), ETH Zürich (Switzerland) and University of Cambridge (UK) from 2011 to 2015. Prior to coming to Japan in 2007, he finished his Bachelor and Master degrees in Institute of Technology Bandung (Indonesia), and worked as a technology consultant in Accenture for a few years, accomplishing various projects in Indonesia, Singapore, Malaysia and United States. His research interests include soft robotics, bio-inspired robotics, embodied intelligence, dynamical systems and machine learning.
Research interests
Bio-inspired robotics, soft robotics, dynamical systems, embodied intelligence and morphological computation.
Monash teaching commitment
- MEC3453 - Dynamics II (2015-...)
- MEC2407 - Electromechanics (2015-2018)
- MEC2402 - Engineering Design I (2019-2020)
- ENG1001- Engineering Design: Lighter, faster, stronger (2021-...)
Education/Academic qualification
Robotics, PhD
Award Date: 25 Mar 2011
Research area keywords
- Soft robotics
- Bio-inspired robotics
- Embodied intelligence
- Dynamical systems
- Machine learning
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Finished
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Towards efficient search by autonomous mobile robots in uncertain environments: an investigation of the fundamental biologically inspired principle
Nurzaman, S., Ong, S. H., Binti Che Yusoff, N. & Chee Pin, T.
15/08/17 → 14/11/21
Project: Research
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Development of observer schemes for soft robotic systems to achieve state estimation, and fault detection
Chee Pin, T., Kok Yew, K. & Nurzaman, S.
15/08/17 → 14/02/21
Project: Research
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An embodied intelligence-based biologically inspired strategy for searching a moving target
Tan, J. K. P., Tan, C. P. & Nurzaman, S. G., 4 Aug 2022, In: Artificial Life. 28, 3, p. 348-368 21 p.Research output: Contribution to journal › Article › Research › peer-review
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A zero-shot soft sensor modeling approach using adversarial learning for robustness against sensor fault
Ding, Z. Y., Loo, J. Y., Nurzaman, S. G., Tan, C. P. & Baskaran, V. M., 2022, (Accepted/In press) In: IEEE Transactions on Industrial Informatics. 11 p.Research output: Contribution to journal › Article › Research › peer-review
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Musculoskeletal modelling and simulation of oil palm fresh fruit bunch harvesting
Chan, Y. S., Teo, Y. X., Gouwanda, D., Nurzaman, S. G., Gopalai, A. A. & Thannirmalai, S., 14 May 2022, In: Scientific Reports. 12, 1, 13 p., 8010.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Robust multimodal indirect sensing for soft robots via neural network-aided filter-based estimation
Loo, J. Y., Ding, Z. Y., Baskaran, V. M., Nurzaman, S. G. & Tan, C. P., Jun 2022, In: Soft Robotics. 9, 3, p. 591-612 22 p.Research output: Contribution to journal › Article › Research › peer-review
6 Citations (Scopus) -
Closed-structure compliant gripper with morphologically optimized multi-material fingertips for aerial grasping
Lee, L. Y., Malik, O. A. S., Tan, C. P. & Nurzaman, S. G., Apr 2021, In: IEEE Robotics and Automation Letters. 6, 2, p. 887-894 8 p.Research output: Contribution to journal › Article › Research › peer-review
3 Citations (Scopus)