Complementarity Problems Professors and Supervisors in Australia

Song WangView profile

Professor

Curtin UniversityAustralia

Professor Song Wang is a distinguished academic at Curtin University, holding the position of Professor in the School of Electrical Engineering, Computing, and Mathematical Sciences (EECMS) and Department of Mathematics and Statistics. He previously served as Head of the Department of Mathematics and Statistics at Curtin (2014–2019). His career spans academia and industry, including roles as a Senior Software Engineer and Technical Director in Ireland, and faculty positions at the University of New South Wales, University of Western Australia (UWA), and others. Education: Dr. Wang earned a 4-year BSc in Applied Mathematics from Wuhan University and a PhD in Numerical Analysis from Trinity College, University of Dublin. His research focuses on computational and applied mathematics, particularly numerical solutions for optimal control, PDEs, and financial engineering. He has pioneered methods like the power penalty approach for option pricing and finite volume techniques for singularly perturbed equations. Research interests include numerical methods for optimal control, computational finance (e.g., Black-Scholes equations), and scientific computation. His work has been published in journals like Applied Mathematics and Computation and Journal of Computational Physics . He has supervised numerous PhD candidates and serves on editorial boards for journals such as Journal of Inequalities and Applications and Advances in Difference Equations . Publications (2025–2015) highlight advancements in fractional optimal control, option pricing models, and robust portfolio optimization. His contributions address real-world applications in finance, engineering, and traffic systems. Collaborations span institutions globally, including Germany, China, and Taiwan.

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Ali NajmiView profile

Lecturer

University of New South WalesAustralia

Dr. Ali Najmi is a Lecturer at the Research Centre for Integrated Transport Innovation (rCITI) within the Department of Civil and Environmental Engineering , University of New South Wales (UNSW) . He holds a Ph.D. from UNSW and focuses on transport modelling, equity in network design, and pandemic-related transport strategies. His work bridges theoretical and applied transport systems analysis. Education : Ph.D., University of New South Wales Research Interests include travel demand, activity-based models, and transport equity. His work often integrates game theory, agent-based simulations, and policy evaluation to address multimodal transport challenges. Key Publications (2025–2021) reflect trends in Mobility-as-a-Service (MaaS), pandemic control strategies, and multimodal market equilibrium. These span theoretical advancements and real-world case studies. Scientific Awards : Swiss Government Excellence Postdoctoral Scholarship (2023–2018), Eric Pas Award, Pyke Johnson Award, and Faculty Postdoctoral Writing Fellowship Labs & Affiliations include rCITI , a leader in transport innovation, where he contributes to interdisciplinary research.

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Stijn MasscheleinView profile

Senior Lecturer

The University of Western AustraliaAustralia

Stijn Masschelein is a Senior Lecturer at the UWA Business School's Accounting and Finance department. He holds a PhD from Leuven University (2010) and previously served as an Assistant Professor at Tilburg University (2010-2011). His research focuses on performance measurement, incentive contracting, and decision-making dynamics, particularly in interorganizational contexts. Key interests include the interplay of delegation, incentives, and risk preferences in manufacturing and service sectors. Major projects include studies on decision rights in international hotel chains, enabling controls in learning processes, and transfer pricing negotiations. He has secured grants from AFAANZ (e.g., 2012 and 2019 Control & Learning grants) and received the Ahern Family Award (UWA Business School). His work aligns with UN SDGs in Finance and Business innovation. Teaching: ACCT2206, ACCT3323, ACCT4440, ACCT4590 Grants: AFAANZ grants (AUD 6,000/2,000), BOF grant (Leuven) Awards: Ahern Family Award (2019), Eden Colloquium funding (EUR 750) Research collaborations span institutions like Tilburg University and involve topics such as ABC information fairness, risk aversion in games, and merger-induced information quality changes. Current projects examine long-term partner selection under market competition and resilience models in organizational psychology.

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Toru SuzukiView profile

Senior Lecturer

University of Technology SydneyAustralia

Toru Suzuki is a Senior Lecturer at the University of Technology Sydney (UTS), affiliated with the Economics Discipline Group within the Business School. He holds a PhD in Economics from Boston University. His research focuses on microeconomic theory, game theory, and the intersection of economics with language and bounded rationality. Dr. Suzuki explores topics such as communication frictions, rational miscommunication, and the design of optimal competition schemes. His academic work spans theoretical contributions to areas like indexical silence in communication, expressive directives' motivational impacts, and choice set-dependent performance effects. He has published in top journals including the Journal of Economic Theory , International Journal of Game Theory , and Mathematical Social Sciences . Dr. Suzuki is available to supervise PhD and master’s students in microeconomic theory and game theory. His research also touches on electoral systems, legal economics, and behavioral biases' complementary effects in decision-making contexts.

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Guanglu ZhouView profile

Associate Professor

Curtin UniversityAustralia

Guanglu Zhou is an Associate Professor at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences, within the Centre for Optimisation and Decision Science. He holds a PhD from the University of New South Wales (2000) and has held academic roles at institutions including the National University of Singapore and the University of Birmingham. His research focuses on numerical optimization, computational methods, tensor computation, and industrial applications. Education : BSc, Shandong Normal University (1988) MSc, Qufu Normal University (1992) PhD, University of New South Wales (2000) Research Interests : Numerical Optimization and Computational Methods Tensor Analysis and Applications Complementarity Problems and Mathematical Programming Industrial Problem Solving Key Achievements : Recipient of the ARC Queen Elizabeth II Fellowship (2006-2010) Principal Investigator on ARC Discovery Grants focusing on optimization and computational methods Teaching : Courses in Mathematics, Computational Mathematics, Optimization, and Logistics Modeling. Grants : Led ARC projects on robust optimization methods (2006-2010) and cone optimization applications (2011-2013).

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Xiaojun ChenView profile

Researcher

University of New South WalesAustralia

Dr. Xiaojun Chen serves as a Researcher at the University of New South Wales within the School of Civil and Environmental Engineering. Holding a PhD from UNSW (2015), Master of Information Technology (UNSW, 2016), and Bachelor of Engineering from Tongji University (2008), his academic foundation spans computational engineering and applied mathematics. Education: PhD, University of New South Wales, 2015 Master of Information Technology, University of New South Wales, 2016 Bachelor of Engineering, Tongji University, 2008 His research focuses on computational mechanics with emphasis on structural safety, fracture analysis, and uncertainty quantification. Key areas include virtual modeling techniques for dynamic structural response, machine learning applications in material behavior prediction, and sparse optimization methods. His work bridges civil engineering with advanced computational mathematics, particularly addressing nonlinear dynamics in composite materials and infrastructure systems. Analysis of his recent publications reveals strong trends in virtual modeling integration with phase-field methods for fracture mechanics and machine learning-aided uncertainty quantification. His work increasingly combines stochastic analysis with material-geometric randomness, demonstrating interdisciplinary innovation at the intersection of civil engineering and computational science. While no scientific awards are publicly documented in the provided materials, his extensive publication record in high-impact journals like Computer Methods in Applied Mechanics and Engineering and Mathematical Programming reflects significant scholarly contributions. Dr. Chen maintains active research collaborations within UNSW's Civil Engineering Building (H20, Level 6, Room CE616), focusing on computational frameworks for structural safety assessment under extreme loading conditions including fire, impact, and fatigue scenarios.

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Shankar SankaranView profile

Professor

University of Technology SydneyAustralia

Professor Shankar Sankaran is a leading academic at the University of Technology Sydney , affiliated with the School of the Built Environment and serving as a Core Member of the Robotics Institute in the Faculty of Engineering and Information Technology. He joined UTS in 2006 and is also associated with the UTS Climate Society and Environment Research Centre . His work bridges project management with sociotechnical systems , focusing on human-robot teaming and ESG (Environmental, Social, Governance) principles in megaprojects. He has supervised 50 higher-degree research students to completion. Research Interests : Project Governance, Sociotechnical Systems, Organisational Project Management, Systems Thinking, Action Research Leadership Roles : Chief Investigator, ARC Research Hub for Human-Robot Teaming; Associate Editor, Project Management Journal His research trends encompass: Project governance in sustainable construction AI and robotics integration in project management ESG impacts on megaprojects Public-private partnership frameworks Digital transformation in construction Scientific Awards : PMI Research Achievement Award (2022) IPMA Research Award (2021) PMI David Cleland Literati Award (2021) Walter Lipke Award (2019) Supervision & Grants : Supervised 50+ PhD/Master’s students Secured major grants from ARC Linkage Projects, PMI, and UTS including: Governance of Innovation in 3P , ESG reporting impacts , and Human-Robot Teaming Labs & Teams : Core member of UTS Robotics Institute Contributor to UTS Climate Society and Environment Research Centre Active in Engineers Australia’s College of Leadership and Management

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