Mr. Judhi Prasetyo
| Name | Mr. Judhi Prasetyo |
|---|---|
| Job title | DBI - Senior Lecturer in CEI |
| Research institute | |
| Primary appointment | Dubai - Design Engineering & Mathematics |
| Email address | j.prasetyo@mdx.ac.uk |
| ORCID | https://orcid.org/0000-0003-2319-6627 |
| Contact category | Academic staff |
Supervision
Employment
Head & Founder, RoboTechX Laboratory
Middlesex University Dubai
01 Sept 2019
Senior Lecturer
Middlesex University Dubai
01 Aug 2018
Education and qualifications
Grants
Prizes and Awards
External activities
Research outputs
A collaborative inquiry into integrating artificial intelligence into curriculum design
King, S. and Prasetyo, J. 2023. A collaborative inquiry into integrating artificial intelligence into curriculum design. Emerging Trends in Multi-Disciplinary Research: 5th International Research Conference. Dubai, United Arab Emirates 29 - 31 May 2023Automated mobile platform for transporting a residential garbage bin to the collection point
Hamzeh, O.A. and Prasetyo, J. 2026. Automated mobile platform for transporting a residential garbage bin to the collection point. Journal of Applied Science and Advanced Engineering. 4 (2), pp. 35-46. https://doi.org/10.59097/jasae.v4i2.92Towards reducing power consumption in classrooms and labs: a case study at Middlesex University of Dubai
Prasetyo, J., Romano, R. and Bashir, E. 2019. Towards reducing power consumption in classrooms and labs: a case study at Middlesex University of Dubai. 1st International Conference on Technology, Innovation and Sustainability in Business Management. Middlesex University Dubai 02 - 02 May 2019A collaborative inquiry into integrating Artificial Intelligence into curriculum design: an institutional autoethnography [Presentation]
King, S. and Prasetyo, J. 2023. A collaborative inquiry into integrating Artificial Intelligence into curriculum design: an institutional autoethnography [Presentation]. 2nd International Conference on Technology, Innovation and Sustainability in Business Management (ICTIS 2023). Middlesex University Dubai 03 - 04 May 2023Teaching physical computing in a non-physical environment during the Covid19 pandemic situation [Presentation]
Bashir, E. and Prasetyo, J. 2021. Teaching physical computing in a non-physical environment during the Covid19 pandemic situation [Presentation]. 2nd Teaching and Learning Conference: New Frontiers in Higher Education Teaching and Learning: Strategy and Planning for the Digital Learning Age. Middlesex University, Dubai, UAE (Online) 16 Jun 2021Assessing generative A.I. through the lens of the 2023 Gartner Hype Cycle for Emerging Technologies: a collaborative autoethnography
King, S. and Prasetyo, J. 2023. Assessing generative A.I. through the lens of the 2023 Gartner Hype Cycle for Emerging Technologies: a collaborative autoethnography. Frontiers in Education. 8. https://doi.org/10.3389/feduc.2023.1300391Developing 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: Genetic and Evolutionary Computation Conference. Lille, France 10 - 14 Jul 2021 Association for Computing Machinery (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/s11721-019-00169-8The best-of-n problem with dynamic site qualities: achieving adaptability with stubborn individuals
Prasetyo, J., De Masi, G., Ranjan, P. and Ferrante, E. 2018. The best-of-n problem with dynamic site qualities: achieving adaptability with stubborn individuals. ANTS 2018: 11th International Conference on Swarm Intelligence. Rome, Italy 29 - 31 Oct 2018 Springer. pp. 239-251 https://doi.org/10.1007/978-3-030-00533-7_19787
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