Find Academic Supervisors

Dimitriou LoukasView profile

Associate Professor

• Sustainable Mobility
• Transportation Systems Design
• Public Transport Planning
• +7 more

Dr. Dimitriou Loukas is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Cyprus, leading the Laboratory of Transportation Engineering. He holds a PhD from the National Technical University of Athens (NTUA) and has held academic positions at King Saud University and the University of Cyprus. His research focuses on sustainable transportation systems, leveraging AI, big data, and econometrics to optimize transport performance and policy design. He teaches 2 mandatory undergraduate and 5 postgraduate courses in Transport Infrastructure Management. His work spans smart city mobility, micromobility systems, freight transport optimization, and emerging transport technologies. He has secured significant national and EU research funding, reviews for top journals, and participates in international conference committees. Key research areas include: Equity in transit budget allocation Spatiotemporal analysis of shared mobility Electric vehicle policy optimization Data-driven infrastructure maintenance Airport network pandemic control strategies His laboratory develops decision-support frameworks for transport systems, integrating machine learning with traditional engineering methods to address urban mobility challenges.

Michael O'DohertyView profile

Professor

• Asset Pricing
• Investments
• Financial Econometrics
• +4 more

Michael O'Doherty is a Professor of Finance and Charles Jones Russell Distinguished Professor at the University of Missouri's Robert J. Trulaske, Sr. College of Business. He serves as the PhD Program Coordinator for the Department of Finance, teaching at undergraduate, MBA, and PhD levels. His research focuses on asset pricing, financial econometrics, mutual funds, and hedge funds, with publications in top journals like the Journal of Finance and Journal of Financial Economics . Key contributions include work on stock return predictability, volatility-managed portfolios, and hedge fund replication. Education: BS in Chemical Engineering and Finance from Iowa State University (2004), PhD in Finance from the University of Iowa (2011). Dr. O’Doherty has received the 2018 TIAA Paul A. Samuelson Award for scholarship on lifelong financial security. His research bridges theoretical finance and practical investment strategies, emphasizing econometric methods and market dynamics. Recent work explores long-term investment risks, mutual fund performance evaluation, and the impact of tax policies on retirement savings. He actively contributes to academic discourse, with over 15 peer-reviewed articles since 2010. Current research interests include lifecycle investment strategies and cross-market equity analysis.

Lawrence ChungView profile

Associate Professor

• Software Engineering
• Requirements Engineering
• Non-Functional Requirements
• +3 more

Dr. Lawrence Chung is an Associate Professor of Computer Science at the University of Texas at Dallas, affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a PhD in Computer Science from the University of Toronto (1993) and has been a faculty member since 1994. His research focuses on software engineering, requirements engineering, and non-functional requirements, with notable contributions to goal-oriented approaches, cloud architecture simulation, and blockchain applications in collaborative systems. Professional Preparation: PhD (1993), M.S. (1981), B.S. (1984), all from the University of Toronto. Prior to academia, he worked in software development at the University of Toronto (1984–1986) and as a Visiting Scholar at Andersen Consulting (1994–1998). Research Interests: Non-functional requirements analysis, software architecture simulation, blockchain for enterprise collaboration, and requirements engineering methodologies. Notable projects include the SilverLining cloud architecture simulator (funded by Google) and frameworks for IoT security policy modeling. Awards: Four Achievement Awards from the World Academy of Sciences (2002–2005) for contributions to computer science research. Active in NSF-funded projects, including $498,323 for Model-Driven Requirements Engineering (2006–2009). Grants and Collaborations: Partnered with Keane Inc., Alcatel, and Texas Enterprise Fund on projects related to software quality and component-based systems. His work often integrates goal-oriented methods with machine learning and big data analytics.

Jian YangView profile

Professor

• International Finance
• Futures Markets
• Commodities
• +3 more

Jian Yang is a distinguished academic and researcher in finance, holding the position of Chair and Research Director at the J.P. Morgan Center for Commodities and Professor of Finance at the University of Colorado Denver. He also serves as a Research Fellow at Tsinghua University’s National Institute of Financial Research and has held visiting roles at institutions like the People’s Bank of China and the Federal Reserve Bank of St. Louis. His expertise spans International Finance, Futures Markets, Commodities, Empirical Asset Pricing, and Real Estate. Yang holds a PhD in Agricultural Economics (Finance minor) from Texas A&M University, and additional degrees from Nankai University in China. His research has been highly cited (over 5,100 Google Scholar citations), featured in major media outlets (e.g., New York Times, Reuters), and utilized by international organizations like the IMF and World Bank. His work addresses global commodity markets, financial policy, and market integration, with a focus on China’s economic dynamics. Yang’s awards include recognition in Marquis Who’s Who and the Laube Community Impact Award. He serves on editorial boards of top journals, including the Journal of Futures Markets and Journal of Commodity Markets . His research has informed policy discussions and influenced market practices worldwide through its analysis of price discovery, volatility transmission, and institutional impacts.

• Statistical Dependence Modeling
• Actuarial Risk
• Stochastic Orders
• +3 more

Xiaohu Li is a Teaching Associate Professor in the Department of Mathematical Sciences at Stevens Institute of Technology's Charles V. Schaefer, Jr. School of Engineering and Science. He holds dual PhDs in Applied Mathematics from Lanzhou University and Engineering/Applied Sciences from University of New Orleans, with additional MA degrees from both institutions. His research focuses on: Statistical dependence modeling in reliability and risk Actuarial applications of stochastic orders Redundancy allocation in engineered systems Prior to Stevens, Dr. Li held academic positions at Xiamen University and Lanzhou University, plus postdoctoral research roles at University of Alberta and University of Texas at San Antonio. He serves as Associate Editor for Stochastic Models and Statistics & Probability Letters, and provides statistical consulting to Hackensack University Medical Center. His recent publications concentrate on: Stochastic comparisons in reliability systems Actuarial risk modeling with dependence structures Optimization of redundancy mechanisms

Anastasios Tasos MegaritisView profile

Lecturer

• Empirical Finance
• Asset Pricing
• Volatility Modelling
• +5 more

Anastasios Tasos Megaritis is a Lecturer in Finance at Keele Business School since 2022. He holds a PhD in Finance from Essex Business School, MSc in Mathematical Modelling and Financial Engineering from NTUA, and BSc in Economics from the University of Athens. His research focuses on empirical finance, asset pricing, volatility modeling, and risk management with emphasis on macro-finance linkages. He explores areas such as credit risk, macroeconomic forecasting, and interactions between macroeconomy and financial markets (equity/commodities). Education: PhD in Finance, Essex Business School MSc Mathematical Modelling & Financial Engineering, NTUA BSc Economics, University of Athens His teaching includes courses on corporate finance, portfolio management, econometrics, and company performance analysis. He welcomes PhD supervision in macro-finance (macroeconomic uncertainty/financial markets, monetary policy impacts), volatility forecasting, and risk management. Office location: Smart Innovation Hub, 0.017.

• Empirical Corporate Finance
• Corporate Governance
• Household Finance
• +5 more

Prof. Markus Schmid is a Professor of Corporate Finance at the School of Business and Economics (SBF-HSG) at the University of St. Gallen. He holds a Ph.D. in Finance from the University of Basel and has held positions at leading institutions including the University of Mannheim and New York University. His research focuses on Empirical Corporate Finance , Corporate Governance , and Household Finance , with particular emphasis on ESG and Sustainable Finance. He has published extensively in top journals and serves on editorial boards such as Management Review Quarterly and Financial Markets and Portfolio Management . Education: 2010: Habilitation, University of St. Gallen 2004: Ph.D. in Finance, University of Basel 2001: Diploma in Economics and Business Administration, University of Basel Research interests include analyzing corporate governance mechanisms, firm valuation, and household financial behavior. His work bridges theoretical frameworks with empirical evidence, addressing questions like the impact of board structures on firm value, CEO tenure dynamics, and the role of financial advice in investor outcomes. Notable contributions include studies on IPO underperformance and hedge fund liquidity. Awards include the Engelbert Dockner Memorial Prize (2017) and the BAI Wissenschaftspreis (2013). He currently teaches courses on Corporate Finance and Empirical Methods at both undergraduate and doctoral levels. His editorial roles and affiliations with organizations like the German Finance Association highlight his leadership in academic finance.

• Quantitative Economics
• Macroeconomics
• Economic Growth
• +3 more

Markus Kondziella is an Assistant Professor of Quantitative Economics at the University of St. Gallen (HSG), affiliated with the School of Economics and Political Science (SEW). His research focuses on macroeconomic dynamics, firm behavior, and distributional economic issues. He holds a PhD and has published extensively on topics such as firm dynamics, wealth distribution effects, and inflation analysis. Research Interests: Quantitative Macroeconomics Economic Growth Mechanisms Portfolio Choice Behavior Structural Economic Shifts Monetary Policy Impacts Publications highlight his work on firm-level data analysis and macroeconomic forecasting, with recent contributions exploring how microeconomic heterogeneity influences aggregate outcomes. His work bridges theoretical models with empirical validation using advanced econometric techniques.

Muhammad ShujahatView profile

Lecturer

• Human Resource Management
• Productive Organizational Behaviours
• Knowledge Management
• +5 more

Muhammad Shujahat is a Lecturer in Business and Management at Essex Business School (University of Essex) , specializing in Human Resource Management, Productive Organizational Behaviours, and Knowledge Management. He joined in October 2022 after completing his PhD from the University of Hong Kong. PhD (2022), University of Hong Kong M.S. (2017), COMSATS University Islamabad (Attock Campus) B.S. (2015), COMSATS University Islamabad (Attock Campus) His research focuses on employee well-being and sustainability-oriented performance , exploring managerial practices affecting productivity in gig economies, knowledge-sharing dynamics, and digital innovation. His work has been recognized in the European Union’s 2020 Innovation Policy Report. Scientific distinctions : Three Web of Science ESI Top 1% Highly Cited Articles Advance HE Fellowship (2024) Publons/Web of Science Top Peer-review Award (2018) Students-Nominated Most Inspiring Teacher (2023) He has secured over $100,000 in research grants from institutions in Kuwait, Hong Kong, and Saudi Arabia. His teaching integrates gamified e-learning and socio-cognitive constructivism, impacting students through modules like New Venture Creation and Strategic Management.

Spyridon VrontosView profile

Professor

• Actuarial Science
• Financial Data Science
• Predictive Modelling
• +4 more

Spyridon Vrontos is a Professor and Head of the School of Mathematics, Statistics and Actuarial Science at the University of Essex. He holds a PhD in Statistics from Athens University of Economics and Business (2005), alongside MSc and BSc degrees in Statistics from the same institution. His expertise lies in Actuarial and Financial Data Science, with a focus on predictive modeling, risk management, and asset-liability management. He has received the Charles A. Hachemeister Prize from the Casualty Actuarial Society and has secured funding from organizations like the Society of Actuaries and Innovate UK. His research spans actuarial science, financial mathematics, and quantitative finance, addressing topics such as bonus-malus systems, volatility modeling, and pension fund performance evaluation. Professor Vrontos has extensive consulting experience in areas like pension fund valuation, insurance ratemaking, and financial planning tools. His work combines theoretical advancements with practical applications, bridging academic research and industry needs. He has supervised numerous projects funded by entities including the Hellenic Foundation for Research and Innovation and various insurance companies. His contributions to the field are evident through publications in top journals such as the International Journal of Forecasting and Quantitative Finance. His research portfolio reflects interdisciplinary collaboration, integrating statistical methodologies with financial and actuarial challenges. Recent work includes modeling the economic impacts of the pandemic using dynamic panel models and exploring machine learning approaches for volatility forecasting. He actively engages in teaching and curriculum development, having led the BSc and MSc Actuarial Science programs at Essex.

Anne-Marie CroteauView profile

Professor

• Strategic Management of Information Technology
• IT Governance
• Impact of the Gig-Economy
• +3 more

Anne-Marie Croteau is the first woman Dean of the John Molson School of Business at Concordia University. She holds the rank of Full Professor in the Department of Supply Chain and Business Technology Management. Her research focuses on strategic management of information technology, governance of IT, and the impact of the gig-economy. She has been recognized as one of Concordia's most popular professors for seven consecutive years by Maclean's magazine. Education: PhD in Administration (specializing in organizational information systems) from Université Laval, MSc and BBA in Information Systems from HEC Montréal, and BSc in Actuarial Mathematics from Concordia University. Research interests include governance of IT, adoption of IT by SMEs, and algorithmic management fairness. Her work appears in journals like the Journal of Strategic Information Systems and International Journal of Accounting Information Systems . Awards include the Dean’s mid-career award for distinguished scholarship (2012), Méritic – Carrière en TI (2017), and Top 20 of Diversity (2019). She serves on boards such as Hydro-Québec and the Autorité des marchés financiers, and chairs committees like the Digital Technology Committee at Hydro-Québec.

Lawrence KryzanowskiView profile

Professor

• Corporate Finance
• Capital Markets
• Investment Management
• +5 more

Lawrence Kryzanowski is a Professor and Honorary Concordia University Research Chair (Tier 1) in Finance at the Department of Finance, Concordia University. He previously held the Senior Concordia University Research Chair in Finance Tier 1 and Ned Goodman Chair in Investment Finance. He serves on the editorial boards of several journals, including the European Journal of Finance and Canadian Journal of Administrative Sciences , and was founding chairperson of the Northern Finance Association (1988). Research Interests include corporate finance, capital market regulation, political corruption and risk, natural disaster impacts on finance, behavioral finance, and risk management. His work spans equity eligibility rules, syndicated loans, and asset pricing models. Scientific Awards Barclays Global Investors Canada Research Award (2001) OSFI Award for Excellence in Research (2000) Prix ACFAS/Caisse de dépôt et placement du Québec (1996) Best Paper Award (tied), Multinational Finance Journal (2000) ASAC Finance Division Best Paper Awards (2024, 2022, 2021) Publications include over 175 refereed journal articles and eight texts, with recent work focusing on investor communications, carbon pricing effects, and political connections in Chinese mutual funds. His articles appear in Journal of Finance , Journal of Financial Economics , and Review of Finance .

Minsoo KimView profile

Senior Lecturer

• Financial Intermediation
• Empirical Asset Pricing
• International Finance
• +3 more

Dr. Minsoo Kim is a Senior Lecturer (equivalent to Assistant Professor) in the Department of Finance at the University of Melbourne's Faculty of Business and Economics. He joined the university in 2019 and specializes in financial intermediation, empirical asset pricing, and international finance. His research explores liquidity dynamics in fixed income markets, fund behavior, and pension fund performance under market stress. Dr. Kim holds a Ph.D. in Finance from London Business School, an M.S. in Statistics from the University of Chicago, and dual B.B.A. and B.A. degrees in Business Administration and Education from Korea University. Before his doctoral studies, he worked as a Research Professional at the Fama-Miller Center for Research in Finance at the University of Chicago Booth School of Business. His recent work investigates liquidity shocks, fund flows, and the implications of early pension fund withdrawals on asset prices. He has published influential papers on interest rate derivatives, corporate bond selling by mutual funds, and pension fund performance under liquidity constraints. Dr. Kim’s research integrates empirical finance with statistical methods to address real-world market challenges, focusing on financial stability and institutional investor behavior.

Qiang LiuView profile

Professor

• Dielectric Fluids
• High Voltage Insulation
• Transformer Engineering
• +2 more

Qiang Liu is Professor of High Voltage Engineering at the University of Manchester and Head of the High Voltage Research Group. He holds a Ph.D. in Electrical Power Engineering from University of Manchester (2011), M.Eng. from Xi’an Jiaotong University (2008), and B.Eng. from Xi’an Jiaotong University (2005). His research focuses on dielectric fluids applications in power equipment, discharge mechanisms, transformer thermal modeling, and high voltage insulation systems. Specific interests include environmentally friendly insulating liquids, breakdown mechanisms, transformer thermal performance, and asset management. He chairs the Cigre D1.01 Advisory Group on Dielectric Liquids and serves as associate editor of IET High Voltage Journal. Research outputs demonstrate consistent focus on improving insulation reliability for power systems, with recent work on dielectric fluids characterization, thermal modeling, and advanced diagnostic techniques. Publications combine experimental investigations with computational approaches for practical applications. Awards include the Best Paper Award at CIGRE Paris Session 2018 for research on gas-to-liquid transformer oils.

• Macroeconomics

Francisco Ruge-Murcia is a Full Professor in McGill University's Department of Economics, serving as Department Chair (2019-2024). Recognized with the Bank of Canada Fellowship (2017-2021), he was President of the Canadian Economics Association (2021-2022). His research examines macroeconomics, monetary policy, and collective decision-making in central banks. He has published extensively on inflation targeting, monetary policy committees, and DSGE modeling. Has supervised 12 PhD students to completion with placements in academia and policy institutions. Holds visiting affiliations with major central banks worldwide and teaches graduate courses in macroeconomics and international economics.