Anna Vitali
PhD Candidates
Anna Vitali is a PhD student in Computer Science and Engineering at the University of Bologna, collaborating with SCM Group, a prominent Italian company specialized in machinery and industrial components. Her research project focuses on the automated setup of various components on industrial equipment, utilizing Constraint Programming techniques. She is co-supervised by Prof. Maurizio Gabbrielli (University of Bologna) and OPTIMA AI Prof. Roberto Amadini
Simone Gazza
PhD Candidates
Simone is a research fellow in the Department of Computer Science and Engineering at the University of Bologna. His research project, titled ‘Optimal Deployment of Microservices,’ aims to investigate and implement constraint-based models for the optimal and automated deployment of microservices architectures over Cloud-IoT infrastructures. He is supervised by OPTIMA AI Prof. Roberto Amadini
Hongjie Xu
PhD Candidates
I am a second year Computer Science PhD student at RMIT university. My research interests include Machine learning and Combinatorial Optimization. My recent research project focuses on developing machine learning techniques to enhance traditional optimization methods such as column generation and (meta)heuristics.
Soobok Yoon
PhD Candidates
Soobok Yoon is currently pursuing his PhD in civil engineering at Monash University. His research revolves around tackling the charging scheduling problems for electric vehicle fleets operating within the Monash microgrid, particularly developing smart charging algorithms. Furthermore, his scholarly pursuits extend to optimizing the infrastructure design and investment strategies of smart charging systems.
Bhagya Rupasinghe
PhD Candidates
Bhagya is a PhD student at Monash University. My project is titled “Road Pavement Maintenance Scheduling Accounting for Minimizing Congestion.” The primary objective of my research is to optimize the scheduling of pavement upgrades with the following goals in mind: minimizing traffic disruption across the Melbourne road network, ensuring upgrades are completed on time, and matching the work scheduled to the available equipment and appropriately skilled people. My supervisors are former OPTIMA CI Professor Mark Wallace and Associate Investigator Dr Ilankaikone Senthooran. Also there are two other non optima supervisors Dr Graeme Gange and Professor Le Hai Vu.
Liam Timms
PhD Candidates
Liam is a PhD student at the University of Melbourne, working on distributed optimisation with applications to making road planning more environmentally friendly.
Seyed (Sina) Mohri
PhD Candidates
Sina is currently enrolled as a full-time Ph.D. candidate and serving as a part-time Research Assistant within the Transportation group at The University of Melbourne, he dedicates his studies to mathematical modeling in Operations Research, Operations Management, and Transportation Planning. With a professional background spanning 7 years across academic and industrial settings, he boasts an extensive publication record, contributing to over 20 research publications in esteemed journals such as EJOR, TRE, TRA, and CAIE. Additionally, he actively participates as a reviewer for journals like TRE, EJOR, and POM. On a personal note, he enjoys engaging in hobbies such as pencil drawing, playing soccer/volleyball, and biking.
Amir Fayaz Heidari
PhD Candidates
Amir Fayaz Heidari is a Ph.D. student in the Power and Energy System group at the Department of Electrical and Electronic Engineering at the University of Melbourne. Amir’s project title is “Impact of Distributed Energy Resources on Electricity Markets” under the supervision of Prof. Tansu Alpcan. His research interests concentrate on the optimization and analysis of planning and operation problems for power systems under renewable generation. He received his M.Sc. degree in Power System Engineering from Sharif University of Technology, Iran in September 2017
Zhe Chen
PhD Candidates
Zhe Chen is undertaking a PhD project at Monash University. His research interest lies in the areas of Multi-agent Path Finding, Heuristic Search, and Planning. His recent research focuses on creating innovative algorithms to address the complex challenges of real-world Multi-agent Path Finding applications.
Leilah Taouk
PhD Candidates
Leilah is completing a Masters of Mathematics & Statistics at The University of Melbourne. Her research project aims to optimise the allocation of resources in an environmental landscape, to limit the spread of forest fires. Leilah’s research project is supervised by A/Prof Alysson Costa and Dr Vera Somers.