Mr. Judhi Prasetyo
![Mr. Judhi Prasetyo](/download/a5e5ee95f66ca55bb4e71ef834e6a6dcae88cf933006a17e1b66a2aa5ff2ba76/83728/webdisplay/w152/h200/Judhi%20Pass%20Photo.jpeg)
Name | Mr. Judhi Prasetyo |
---|---|
Job title | DBI - Senior Lecturer in CEI |
Research institute | |
Primary appointment | Dubai Campus |
Email address | J.Prasetyo@mdx.ac.uk |
ORCID | https://orcid.org/0000-0003-2319-6627 |
Contact category | Researcher |
Employment
Head & Founder, RoboTechX Laboratory
Middlesex University Dubai
01 Sept 2019
Senior Lecturer
Middlesex University Dubai
01 Aug 2018
Education and qualifications
PhD in Robotics, Computer Science
01 Sept 2024
Universite de Namur, Belgium
MSc in Engineering Management
01 Sept 2017
Middlesex University
Engineer Graduate in Electronics and Electrical Engineering
01 Aug 1995
Insitut Teknologi Nasional Bandung, Indonesia
External activities
Research outputs
Developing an object detection and gripping mechanism algorithm using machine learning
Mohammad, H., Kishore, S. and Prasetyo, J. 2023. Developing an object detection and gripping mechanism algorithm using machine learning. Journal of Applied Science and Advanced Engineering. 1 (2), pp. 47-54. https://doi.org/10.59097/jasae.v1i2.15Robot swarm democracy: the importance of informed individuals against zealots
Masi, G., Prasetyo, J., Zakir, R., Mankovskii, N., Ferrante, E. and Tuci, E. 2021. Robot swarm democracy: the importance of informed individuals against zealots. Swarm Intelligence. 15 (4), pp. 315-338. https://doi.org/10.1007/s11721-021-00197-3A bio-inspired spatial defence strategy for collective decision making in self-organized swarms
Prasetyo, J., De Masi, G., Zakir, R., Alkilabi, M., Tuci, E. and Ferrante, E. 2021. A bio-inspired spatial defence strategy for collective decision making in self-organized swarms. GECCO 2021. Lille, France 10 - 14 Jul 2021 ACM. pp. 49-56 https://doi.org/10.1145/3449639.3459356Collective decision making in dynamic environments
Prasetyo, J., De Masi, G. and Ferrante, E. 2019. Collective decision making in dynamic environments. Swarm Intelligence. 13 (3-4), pp. 217-243. https://doi.org/10.1007/s11721-019-00169-812
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