Find Academic Supervisors

• Business Process Management
• Strategy
• Technology Management
• +12 more

Dr Jeff Chamberlain is a Senior Lecturer at Deakin Business School, Faculty of Business and Law, Deakin University, where he also serves as Deputy Director of the MBA program. With over two decades of industry experience at the Australian Taxation Office (ATO), he transitioned into academia, bringing a pragmatic, industry-informed approach to teaching and research. His work centers on the 'triple helix' model linking strategy, business processes, and technology. Doctor of Philosophy, Deakin University Master of Electronic Commerce, Deakin University Graduate Diploma of Electronic Commerce, Deakin University Graduate Certificate of Electronic Commerce, Deakin University Graduate Certificate of Higher Education, Deakin University Bachelor of Business, Deakin University CPA (Certified Practising Accountant), CPA Australia His research focuses on business process management, digital transformation in SMEs, enterprise systems (especially ERP), and organizational learning. He explores how SMEs strategize for technological change and the role of awareness and learning in enterprise transformation. Recent work includes a study on a Global Advisory Program (GAP) for innovative SMEs. The recent articles reflect a strong trajectory in e-government, digital services, and cross-cultural project management, with a pivot toward educational innovation and flexible learning models. His work bridges public sector digital transformation and academic pedagogy, emphasizing practical application. Vice Chancellor's Award for Teaching Excellence, 2017 Fellow, CPA Australia (FCPA), 2016 Fellow, Institute of Managers and Leaders (FIML), 2016 Dean's Lecturing Legend Award, 2012 Australia Day Achievement Award, 2002 Jeff has supervised numerous student capstone projects, led industry-university partnerships, and secured internal grants such as the BPM Deakin project. He has been involved in executive education with DeakinCo, delivering transformation leadership programs to Tata Aerospace. He also serves on the board of Eastern Innovation Business Centre, supporting sustainable startups. He leads the 'BPMDeakin' virtual community and has developed innovative teaching models like 'Start Anytime' and 'Cloud First'. His teaching units include MBA705 Enterprise Optimisation and Transformation, emphasizing real-world applicability and digital agility.

Alan SutherlandView profile

Professor

• International Macroeconomics
• Monetary Economics
• International Finance
• +3 more

Alan Sutherland is a Professor of Economics at the University of St Andrews' Business School. He specializes in international macroeconomics, monetary economics, and financial market integration. His research focuses on the macroeconomic implications of exchange rate policies, monetary policy regimes, and cross-country financial linkages. He leads projects funded by the Economic & Social Research Council, including 'The Macroeconomics of Financial Globalisation' (2011-2015) and 'Monetary Policy Welfare and International Financial Markets' (2006-2007). Research Interests: International macroeconomic policy design Exchange rate determination Financial market integration effects Numerical methods for macroeconomic modeling His recent work emphasizes the role of international financial flows in transmitting economic shocks between countries. He has developed influential solution methods for analyzing multi-country general equilibrium models. Key contributions include frameworks for understanding optimal monetary policy under incomplete financial markets and asymmetric information conditions. Scientific Recognition: 2013 Fellow of the Royal Society of Edinburgh Recipient of 2 ESRC-funded research grants

Anker Degn JensenView profile

Professor

• Chemical Reaction Engineering
• Catalysis
• Particle Technology
• +10 more

Anker Degn Jensen is a Professor in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), where he is affiliated with the CHEC Research Centre. His research spans chemical reaction engineering, catalysis, and particle technology with applications in energy and sustainability. His research interests include chemical reaction engineering , catalysis , combustion , gasification of solid fuels , flue gas cleaning (especially NOx and Hg removal), production of liquid fuels , and fluidized bed processes for coating and agglomeration in white biotechnology. His work significantly contributes to UN Sustainable Development Goals related to clean energy and climate action. The recent publications highlight a strong trend in bio-oil upgrading , ammonia synthesis , plasma-assisted methane conversion , and adsorption modeling . These works reflect a deep engagement with sustainable fuel production, catalytic process optimization, and fundamental surface reaction mechanisms. Conversion of Furfural as a Bio-Oil Model Compound An Adsorption Isotherm That Includes Interactions Plasma-Assisted Non-Oxidative Coupling of Methane Optimisation of a Haber-Bosch Synthesis Loop Production of Phenolic Compounds from Argan Shell Waste Anker Degn Jensen is actively supervising multiple PhD students and leading research projects in hydrogen production, CO2 and H2O electrochemical reduction, bio-oil hydrotreating, and catalytic upgrading of biomass. He is involved in over 100 projects, including active grants on Conversion of hydrocarbons to hydrogen , Modeling electrochemical CO2 reduction , and Catalytic upgrading of pyrolysis oil . He is associated with the CHEC Research Centre at DTU, a hub for chemical engineering and catalysis research. His team collaborates on advanced reactor designs and catalytic processes for renewable fuels and chemicals.

• Mathematical Finance
• Probability Theory
• Stochastic Analysis
• +5 more

Sigrid Källblad Nordin is an Associate Professor at KTH Royal Institute of Technology, affiliated with the Department of Mathematics (Division of Probability, Mathematical Physics, and Statistics). Her research focuses on Mathematical Finance, Probability Theory, and Stochastic Analysis, with an emphasis on measure-valued processes, martingale optimal transport, and model uncertainty. She holds a DPhil from the University of Oxford (2014). Her work bridges theoretical advancements in stochastic control, optimization, and financial applications. Recent research includes Bayesian optimal adaptive control, robust option pricing, and dynamically consistent investment strategies under uncertainty. She teaches courses such as Financial Mathematics and Financial Derivatives, and supervises PhD students Linn Engström and Chaorui Wang. Publications span journals like Annals of Applied Probability , Finance and Stochastics , and SIAM Journal on Control and Optimization , reflecting contributions to optimal transport, stochastic processes, and financial modeling. She is currently hiring a new PhD student and welcomes inquiries about master thesis supervision.

Shu-Jung Sunny YangView profile

Professor

• Supply Chain Resilience
• Sustainable Operations
• Data-Driven Operations
• +3 more

Shu-Jung Sunny Yang is a Professor and Chair in Operations Management at the School for Business and Society, University of York. He has held faculty positions at institutions including the University of Melbourne, University of Essex, and National Taiwan University, alongside administrative roles such as department head and research centre director. He earned his PhD in Management from the Australian Graduate School of Management (AGSM) at the University of Sydney and University of New South Wales. His research focuses on Supply Chain Resilience, Sustainable Operations, and Data-Driven Operations, combining formal theory, data science, and operational research. Recent work includes modeling supply chain collaboration for medical mask distribution during disruptions and exploring altruistic venturing through community-based approaches. His book Building Resilience: Consistent Re-rationalisation in Digital Transformation and Business Inheritance won the 2022 Golden Book Award in Taiwan. Awards: 2022 Golden Book Award (Taiwan) 2004 Sasakawa Young Leader Fellow (Japan) 2019 Ta-Yu Wu Memorial Award (Taiwan) Yang leads the Human futures in the digital transformation interdisciplinary cluster. His teaching includes Operations Management and Supply Chain Management. He currently serves as a guest editor for Transportation Research Part E and holds editorial roles at Journal of General Management and Journal of Management and Systems . Research grants include the British Academy-funded project on Optimising Product Line Design in Professional Service Operations . He actively collaborates with industry and academia, emphasizing practical applications of operations strategy.

Nguyen DangView profile

Lecturer

• combinatorial optimisation
• algorithms
• machine learning
• +5 more

Nguyen Dang is a Lecturer at the School of Computer Science, University of St Andrews, actively supervising PhD students and teaching AI-related modules including Artificial Intelligence (CS3105), Artificial Intelligence Practice (CS5011), Machine Learning (CS5014), and Uncertainty in Artificial Intelligence (CS5016). He leads the Centre for Interdisciplinary Research in Computational Algebra and maintains an active research profile with numerous publications in top conferences. University of St Andrews, School of Computer Science Lecturer (equivalent to assistant professor) Supervising PhD students including Tai Nguyen Teaching multiple AI and Machine Learning courses Dr. Dang's research focuses on the intersection of machine learning and optimization, particularly automated algorithm configuration and design. His work centers on leveraging machine learning techniques to automate the development of optimization algorithms, with special emphasis on deep reinforcement learning for Dynamic Algorithm Configuration and integrating machine learning into constraint programming. His research has significant applications across various domains, especially in automated constraint modeling. The publications reflect strong activity in combinatorial optimization, algorithm selection, and benchmark instance generation. His recent publications demonstrate consistent output in top venues including Artificial Intelligence Journal, GECCO, FOGA, and CP conferences, with notable achievements including Best Paper Awards at GECCO'2025 and GECCO'2022. The research spans theoretical foundations of parameter control, practical applications in constraint programming, and innovative approaches to algorithm configuration. Best paper award at GECCO'2025 Best paper award at GECCO'2022 Nomination for best paper award at FOGA'2023 Best paper award at GECCO'2017 Dr. Dang holds a Leverhulme Early Career Fellowship (2020-2023) worth £90,000 for his project on constraint-based automated generation of synthetic benchmark instances. He has secured additional funding including EPSRC High Performance Computing grants totaling over 2.2 million CPU hours and a COST Action grant. His research group actively develops tools and frameworks for automated algorithm configuration and benchmark instance generation, with several open-source datasets available on GitHub. He is involved with multiple research groups including the Centre for Interdisciplinary Research in Computational Algebra and collaborates extensively with researchers at University of St Andrews and internationally, including at Université de Paris I Panthéon-Sorbonne where he conducted visiting research.

Francisco BenitaView profile

Lecturer

• Data Science & Analytics
• Optimisation & Decision Science
• Economics & Public Policy
• +1 more

Francisco Benita is an Adjunct Lecturer at the Engineering Systems and Design (ESD) Pillar of Singapore University of Technology and Design (SUTD). He holds a PhD in Engineering Sciences from Monterrey Tech (2016) and an MSc in Industrial Economics from Universidad Autónoma de Nuevo León (2012). Prior to SUTD, he was a postdoctoral fellow at SUTD’s Architecture and Sustainable Design Pillar and a Senior Advisor at the ITESM-BMGI Lean Six Sigma Program. His research focuses on urban systems, optimization, data science, and their intersections with economics and public policy. Key areas include transportation networks, spatial livability indices, and pandemic impacts on urban environments. Benita’s interdisciplinary work spans fields like sustainable urban design, carbon emissions modeling, and global trade dynamics. Recent publications highlight trends in transportation innovation (e.g., ride-sharing impacts, aircraft routing frameworks), climate-resilient urban planning (e.g., walkway thermal comfort), and pandemic analysis. His projects often integrate quantitative methods with real-world data, emphasizing actionable insights for policymakers and urban planners. Though no scientific awards are explicitly mentioned, his extensive international collaborations—including research visits to TU Berlin, Vrije Universiteit Brussel, and Supélec—reflect his global academic engagement. Students and grants are not listed in the provided texts. Benita’s work is anchored in labs/teams within SUTD’s ESD Pillar, though specific lab affiliations are not detailed. His research bridges theoretical optimization with practical urban challenges, contributing to both academic discourse and applied solutions in smart cities.

Ehsan PashajavidView profile

Senior Lecturer

• Stochastic modeling/optimisation
• Microgrids/Smartgrid
• Renewable Energy Resources
• +3 more

Dr. Ehsan Pashajavid is a Senior Lecturer at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences, within the Faculty of Science and Engineering. His research focuses on stochastic optimization, renewable energy integration, microgrid control, and electric vehicle systems. Research interests include: Microgrid and smart grid control algorithms Renewable energy resource management Power system stability and operation Energy storage optimization Electric vehicle-grid integration His publications demonstrate significant contributions to power system resilience, with recent work emphasizing battery storage economics, fault-tolerant converters, and model predictive control for grid stability. Article trends show strong focus on renewable integration challenges and optimization techniques for modern energy systems. Awards include Senior Member status in IEEE and its Power & Energy, Industrial Applications, and Power Electronics societies. Teaching responsibilities encompass graduate courses in Renewable Power Generation Systems, Smart Grid Control, and Renewable Energy Principles.

Hyungwoong AhnView profile

Senior Lecturer

• Adsorption Processes
• CO2 Capture
• Carbon Capture and Storage
• +5 more

Dr. Hyungwoong Ahn is a Senior Lecturer in Chemical Engineering at the University of Edinburgh and an Adjunct Professor at Yonsei University. His expertise lies in adsorption process engineering, particularly for CO2 capture and gas separation. He leads the Carbon Capture Group and coordinates exchange programs for chemical engineering students. Dr. Ahn holds a BSc, MSc, and PhD in Chemical Engineering from Yonsei University. Roles: Senior Lecturer (Edinburgh) & Adjunct Professor (Yonsei) Research Focus: Pressure Swing Adsorption (PSA), CO2 capture technologies, hydrogen purification, and industrial decarbonisation Key Projects: PSA-SPUR technology development, ship-based carbon capture, and collaboration with HD Korea Shipbuilding Awards: KOFST Brain Pool Fellow, IChemE Global Awards finalist, and Honeywell UniSim Design Challenge winner His research integrates equilibrium theory analysis, numerical simulation, and experimental validation to advance carbon capture systems. He has authored over 50 publications (H-index 32) and secured funding from EPSRC, BEIS, KETEP, and others.

• Large deformation FE analysis of soils
• Soil–structure interaction
• Offshore foundation systems
• +7 more

Yuxia Hu is a Professor at the University of Western Australia, affiliated with the School of Engineering (Civil, Environmental and Mining Engineering) and the School of Social Sciences, Planning and Transport Research Centre. Her research focuses on geotechnical engineering, particularly in large deformation FE analysis, offshore foundation systems, and soil-structure interaction. She has contributed to advancements in suction caissons, plate anchors, and computational mechanics, with applications in offshore wind energy and infrastructure stability. Research Interests: Large deformation FE analysis of soils, soil-structure interaction, offshore foundation systems, soil mechanics, and pavement engineering. Awards: Telford Premium, British Geotechnical Association Prize, and Significant Junior/Senior Paper Award. Grants: Leads projects on offshore anchors, carbon capture in pavements, and road maintenance optimization. Her work addresses challenges in geotechnical design and sustainable infrastructure, with a focus on numerical modeling and experimental validation. Collaborations span academia and industry, emphasizing practical solutions for complex soil-structure systems.

• Artificial Intelligence
• Machine Learning
• Game Theory
• +7 more

Prof. Tansu Alpcan is a Professor and Reader in the Department of Electrical and Electronic Engineering at The University of Melbourne, Australia. He holds a PhD from the University of Illinois at Urbana-Champaign (UIUC) and has held academic positions at Technical University Berlin and Deutsche Telekom Laboratories. His research focuses on AI/ML applications in engineering, game theory, cybersecurity, Industry 4.0, quantum machine learning, smart grids, and communication networks. Education: PhD in Electrical and Computer Engineering (UIUC, 2006); MSc (UIUC, 2003); BEng (Bogazici University, 1999). Research interests include adversarial machine learning, cybersecurity games, quantum computing, and renewable energy systems. Authored over 200 papers and two books, including Network Security: A Decision and Game Theoretic Approach (Cambridge, 2011). Recipient of IEEE Senior Membership (2012) and multiple best paper awards. He leads the WILAB and has secured grants such as the ARC Training Centre in Optimisation Technologies. Current projects include quantum machine learning, adversarial reinforcement learning, and smart grid modeling. Supervised 17 PhD and 3 Master’s students.

Christine CurrieView profile

Professor

• Operational Research
• Simulation Optimisation
• Healthcare Management
• +9 more

Professor Christine Currie is a Professor of Operational Research within the School of Mathematical Sciences at the University of Southampton. She is a Fellow of the Alan Turing Institute and previously served as Director of the Centre for Operational Research, Management Science and Information Systems (CORMSIS). Her research is primarily funded by EPSRC and spans healthcare, disaster relief, and pricing optimisation. Research Interests: Simulation Optimisation Healthcare Management Decision Making Under Uncertainty Disaster Relief Logistics Optimal Pricing and Revenue Management Her recent work focuses on real-time simulation for emergency departments, infectious disease modelling, patient flow optimisation, food relief procurement in Indonesia, and robust pricing models in transportation and leisure sectors. The trend in her publications shows a strong emphasis on applied operational research with societal impact, particularly in digital twin integration and stochastic optimisation under uncertainty. Scientific Awards: Companion of Operational Research (2024) Professor Currie actively supervises PhD students and has secured multiple research grants, primarily from EPSRC. She has led projects such as 'Dial-a-Ride', 'CREST-OR', and 'Designing a resilient food supply network for natural disasters in West Java, Indonesia'. She also collaborates with external organisations and has supervised student projects with industry partners. Leadership and Editorial Roles: Editor-in-Chief, Journal of Simulation (2015–2024) Member, Editorial Board, Royal Society Open Science (2021–present) Co-chair, OR63 National Operational Research Conference (2021) Member, Operational Research Society Research Panel She is actively involved in the operational research community and leads interdisciplinary research teams including the Operational Research group, Institute for Life Sciences, CORMSIS, and the Centre for Healthcare Analytics.

Lukasz SzpruchView profile

Professor

• Probability Theory
• Stochastic Analysis
• Theoretical Machine Learning
• +10 more

Lukasz Szpruch serves as Professor at the University of Edinburgh's School of Mathematics and Programme Director for Finance and Economics at The Alan Turing Institute. He leads the FAIR research programme on responsible AI adoption in financial services and co-investigates the UK Centre for Greening Finance & Investment (CGFI), directing partnerships with the National Office for Statistics, Accenture, Bill & Melinda Gates Foundation, and HSBC. He maintains affiliations with the Oxford-Man Institute for Quantitative Finance. His research focuses on probability theory , stochastic analysis , and theoretical machine learning , with current investigations into deep learning foundations, mean-field models, reinforcement learning, game theory, multiagent systems, and computational optimal transport. These theoretical frameworks are rigorously applied to financial economics problems including market dynamics, risk modeling, and regulatory compliance, emphasizing mathematical precision in AI system design. Recent publications reveal a strategic shift toward responsible AI deployment in finance , addressing large language model governance, synthetic data privacy, and non-asymptotic sampling theory. His work consistently bridges abstract mathematics with financial sector applications, particularly through the FAIR programme's industry collaborations that translate theoretical advances into practical frameworks for trustworthy AI adoption. As Principal Investigator of FAIR and CGFI co-Investigator, Szpruch manages significant research funding streams focused on AI ethics in financial services and sustainable finance. His academic leadership drives cross-sector initiatives where theoretical research directly informs regulatory policy development and industry best practices, though specific student mentoring details remain unspecified in source materials. Szpruch operates at the nexus of three critical research ecosystems: the FAIR programme's industry partnerships, CGFI's sustainability-focused finance research, and the Oxford-Man Institute's quantitative finance initiatives. These interconnected teams combine mathematical rigor with real-world financial applications, developing frameworks for AI assurance, green finance metrics, and synthetic data validation that address systemic challenges in modern financial systems.

Matthew K. TamView profile

Associate Professor

• continuous optimisation and its applications
• monotone operator theory
• variational and convex analysis
• +3 more

Matthew K. Tam is an Associate Professor at the School of Mathematics and Statistics, The University of Melbourne, specializing in Operations Research. He is also an investigator at the Melbourne Centre for Data Science and an associate investigator in the ARC Training Centre OPTIMA. PhD in Mathematics (2016) from University of Newcastle under Jonathan Borwein Postdoctoral research at University of Göttingen with RTG-2088 and Alexander von Humboldt Foundation Junior Professor at University of Göttingen (2017-2020) His research focuses on continuous optimization, monotone operator theory, and variational analysis, with applications in wavelet construction and inverse problems. Key trends include distributed algorithms, resolvent splitting, and convergence analysis for feasibility problems. Discovery Early Career Researcher Award (DECRA) Alexander von Humboldt Fellowship He collaborates with institutions like ANZIAM, Springer, and IEEE, with publications spanning mathematical optimization, harmonic analysis, and computational mathematics. His work emphasizes algorithmic design for complex data systems and real-world applications in imaging and industrial modeling.

• Climate and Energy Finance
• Corporate Risk Management
• International Economics/Finance
• +3 more

Dr. Bernard Njindan Iyke is a Lecturer in Finance at La Trobe University, specializing in climate and energy finance, corporate risk management, and international economics/finance. He holds an ORCID identifier (0000-0002-9217-1856) and has extensive experience as a consultant for central banks and international organizations. His recent research includes leading the Australian Government-funded 'Quantum Enhanced Optimisation for Energy Efficient Data Centres' project. He actively supervises postgraduate research students focusing on Sustainable Development Goals 13 (Climate Action) and 7 (Affordable and Clean Energy). Dr. Iyke's research interests span climate finance, energy security, geopolitical risk analysis, and macroeconomic policy interactions. His work frequently explores emerging markets, particularly in Asia and Africa, with notable contributions on financial stability, currency dynamics, and pandemic economic impacts. He has presented at institutions like the University of Oxford and the Asian Development Bank Institute. His recent publications analyze topics such as financial cycle synchronization in emerging economies, energy investment under climate risks, and the interplay between monetary policy and asset prices in ASEAN countries. While no explicit awards are listed, his high citation counts (e.g., over 90 citations for his 2024 energy security paper) reflect significant academic impact. He teaches courses on commercial lending and bank strategy, integrating real-world financial technology and regulatory challenges. Dr. Iyke has secured government grants totaling millions AUD, notably the 2024 Quantum Optimisation project. He advises on policy matters related to energy transition and financial resilience, maintaining active collaboration with central banks and multilateral institutions. His research agenda emphasizes bridging theoretical economics with practical policy solutions for sustainable development.