PhD Candidates

Sanjit is a Master of Computer Science student at the University of Melbourne. His project is regarding finding minimal test sets to accurately evaluate algorithms. He is supervised by Mario Andrés Munoz Acosta.

Jinxi Wang is a PhD candidate at the University of Melbourne supervised by Prof. Uwe Aickelin and Dr. Ling Luo. His research focuses on time series segmentation and temporal dependency modelling. His current work explores the application of Patient-Ventilator Asynchrony (PVA) detection, aiming to enhance the accuracy and robustness of identifying asynchrony events in mechanical ventilation.

David Ceddia is a PhD student in the School of Mathematics and Statistics at The University of Melbourne. He has a Bachelor of Aerospace Engineering (Hons) and Science (Hons) and a Master of Philosophy in Physics from Monash University. In his PhD, he is working on athletic performance modelling and optimisation. His supervisors are OPTIMA Chief Investigators, Prof. Howard Bondell and Prof. Peter Taylor.

Hamrah Kor is a PhD candidate in the School of Mathematics and Statistics at The University of Melbourne under the supervision of Dr Joyce Zhang and Dr Mark Fackrell.

His research interests include applications of Operations Research, Optimisation Methods, Machine Learning, and Deep Learning in Transportation Systems, Supply Chain Management, and Socio-Economic Systems. Currently, he is working on optimising Loading Zone Usage systems as a PhD project.

Yasir Kidwai is a PhD candidate in the Department of Data Science and AI at Monash University under the supervision of Dr. John Betts, Prof. Peter Stuckey, Dr. Campbell Wilson and Dr. Janis Dalins.

Yasir’s research is focussed on Detecting Threats in Temporal Networks. Crime in the modern world is characterised by large networks of criminals operating across national borders and transacting via multiple communication channels. His research aims to better understand how and when changes in patterns of communication within the network can be indicative of threats to life or imminent major criminal operation.

Mitra Heidari is a PhD student in the School of Computing and Information Systems at the University of Melbourne, under the supervision of Prof. Uwe Aickelin, Dr ling luo and Dr Mohammad Golzarijalal. Mitra hold’s a Bachelor’s and a Master’s degree in Industrial Engineering, with their Master’s thesis focused on linear multi-objective optimization. Mitra’s current research focuses on multi-fidelity blackbox optimization using machine learning algorithms.

Haohan Xu’s project focuses on modelling pricing schemes in Vehicle-to-Grid (V2G) systems to influence sustainable consumer charging and discharging behaviour. He is supervised by OPTIMA CI Dr. Joyce Zhang at the University of Melbourne.