Publications

Some selected publications (with associated code where available) are listed below. My complete peer-reviewed publications are maintained by Google Scholar.

Conference Papers

• Ferdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, and Alan Whone. 2023. Multimodal Indoor Localisation in Parkinson’s Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ‘23). Association for Computing Machinery, New York, NY, USA, 4273–4283. [paper | code | dataset]
• Jovan, F. and Bernardini, S. 2023. Adaptive Temporal Planning for Multi-Robot Systems in Operations and Maintenance of Offshore Wind Farms. Proceedings of the AAAI Conference on Artificial Intelligence. 37, 13 (Jun. 2023), 15782-15788. [paper]
• Bernardini, S., Jovan, F., Jiang, Z., Watson, S., Weightman, A., Moradi, P., Richardson, T., Sadeghian, R. and Sareh, S., 2020. A multi-robot platform for the autonomous operation and maintenance of offshore wind farms. Autonomous Agents and Multi-Agent Systems (AAMAS) 2020, pp.1696-1700. [paper]
• Jovan, F., Wyatt, J. &; Hawes, N.. (2018). Efficient Bayesian Methods for Counting Processes in Partially Observable Environments. Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research, 84:1906-1913. [paper]
• F. Jovan, J. Wyatt, N. Hawes and T. Krajník, “A Poisson-spectral model for modelling temporal patterns in human data observed by a robot,” 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea (South), 2016, pp. 4013-4018, doi: 10.1109/IROS.2016.7759591. [paper]

Journal Papers

• Catherine Morgan, Alessandro Masullo, Majid Mirmehdi, Hanna Kristiina Isotalus, Ferdian Jovan, Ryan McConville, Emma L. Tonkin, Alan Whone, Ian Craddock; Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson’s Disease Severity. Digit Biomark 29 March 2023; 7 (1): 92–103. [paper]
• Jovan, F., Tomy, M., Hawes, N. et al. Efficiently exploring for human robot interaction: partially observable Poisson processes. Auton Robot 47, 121–138 (2023). [paper | code | dataset]
• Jiang, Z., Jovan, F., Moradi, P., Richardson, T., Bernardini, S., Watson, S., et al. (2023) A multirobot system for autonomous deployment and recovery of a blade crawler for operations and maintenance of offshore wind turbine blades. Journal of Field Robotics, 40, 73–93. [paper]
• N. Hawes et al., “The STRANDS Project: Long-Term Autonomy in Everyday Environments,” in IEEE Robotics & Automation Magazine, vol. 24, no. 3, pp. 146-156, Sept. 2017, doi: 10.1109/MRA.2016.2636359. [paper | code]
• Jatmiko, W., Jovan, F., Dhiemas, R. Y. S., Alvissalim, M. S., Febrian, A., Widiyanto, D., … & Sekiyama, K. (2016). PSO algorithm for single and multiple odor sources localization problems: progress and challenge. International Journal on Smart Sensing and Intelligent Systems, 9(3), 1431. [paper]

Preprints

• Jovan, F., McConville, R., Morgan, C., Tonkin, E., Whone, A., & Craddock, I. (2022). Multimodal Indoor Localisation for Measuring Mobility in Parkinson’s Disease using Transformers. arXiv preprint arXiv:2205.06142. [paper | code]

Workshop Papers

• Morgan, C., Masullo, A., Isotalus, H., Tonkin, E., Mirmehdi, M., Jovan, F., Whone, T., Oikonomou, G., McConville, R., Tourte, G. and Kinnunen, K., 2022, September. Real-world sit-to-stand evaluation. In MOVEMENT DISORDERS (Vol. 37, pp. S195-S196). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY.
• Jovan, F., & Bernardini, S. (2021, August). Multi-Robot Coordination in Operations and Maintenance of Off Shore Wind Farms with Temporal Planning. In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS2021), Guangzhou, China (pp. 2-13). [paper | video]
• Kunze, L., Karaoguz, H., Young, J., Jovan, F., Folkesson, J., Jensfelt, P., & Hawes, N. (2018). SOMA: a framework for understanding change in everyday environments using Semantic Object Maps. 47–54. [paper]

Thesis

Jovan, F. (2019). Statistical inference for periodic and partially observable poisson processes (Doctoral dissertation, University of Birmingham). [paper]