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Elisabeth LAHALLEView profile

Associate Professor

• Signal Processing
• Medical Imaging
• Mechanical Vibration Analysis
• +3 more

Elisabeth LAHALLE is an Associate Professor at CentraleSupélec, affiliated with the Laboratoire des signaux et systèmes (L2S). Her research focuses on signal processing, medical imaging, mechanical vibration analysis, environmental monitoring, and compressed sensing. She leads projects in systems control, telecommunications, and data science applications in energy, Industry 4.0, and healthcare. Her work includes developing sparse spectral analysis techniques for blade vibration diagnostics, compressed sensing algorithms for medical imaging, and AI-driven environmental monitoring systems. She supervises PhD students such as Lisa Poirier-Herbeck (environmental surveillance), Antoine Bouchain (blade vibration analysis), and Grégory Baral-Baron (3D speed measurement). Teaching responsibilities include signal processing, data science, and biomedical imaging courses for engineering students at CentraleSupélec. She is part of the Inverse Problems Group and Modeling & Estimation Team within L2S, collaborating on projects like SYCOMORE and COMEDY. Active in international conferences and journal publications since 2008, her research bridges theoretical signal processing with practical applications in aerospace, healthcare, and environmental safety. Elisabeth holds a patent for Doppler-based aircraft speed measurement (EP 2720066 A1, 2014). She contributes to seminars like the UQSay and Energy@L2S, maintaining L2S’s reputation in interdisciplinary engineering research.

George KapetaniosView profile

Professor

• Econometrics
• Structural Change Analysis
• Large Data Sets
• +2 more

George Kapetanios is a Professor of Finance and Econometrics and Head of the Banking & Finance Department at King's Business School, King's College London. He joined King's in 2015 after roles at the National Institute of Economic and Social Research, the Bank of England, and Queen Mary University of London, where he previously led the School of Economics and Finance. His research focuses on econometric structural change analysis, large data applications in finance and macroeconomics, and forecasting methodologies. He has contributed to influential forecasting models at central banks and developed postgraduate finance programs emphasizing employability. Education: MSc from the London School of Economics and Political Science PhD from the University of Cambridge Research Interests: George's work centers on advanced econometric techniques, including panel data modeling, structural change analysis, and macroeconomic forecasting. His recent studies explore applications such as UK inflation dynamics, pandemic consumer behavior, and text-based economic indicators. He emphasizes interdisciplinary approaches using large datasets and machine learning techniques to address policy-relevant questions. Key Contributions: His research has been applied in central bank policies, including the Bank of England's inflation forecasting frameworks. He leads the Data Analytics for Finance and Macro (DAFM) research center, focusing on quantitative methods for financial markets and macroeconomic trends. Grants & Labs: Kapetanios oversees the DAFM center and collaborates with institutions like the Qatar Centre for Global Banking & Finance. His work includes organizing conferences on topics like non-traditional data in economics and historical policy analysis.

Saqib AZIZView profile

Professor

• Corporate Finance
• Corporate Governance
• Mergers and Acquisitions (M&A)
• +3 more

Dr. Saqib Aziz is a Full Professor of Finance at Rennes School of Business (France), currently serving as Academic Associate Dean for Research and Director of DBA Programmes. He holds a PhD in Finance from Université de Rennes 1 (2016) and has held academic roles at institutions like SKEMA Business School and IESEG School of Management. His research focuses on corporate finance, M&A, banking stability, and sustainable finance. He has published extensively in top-tier journals like European Financial Management and International Review of Financial Analysis . Aziz has received the Prix Recherche IGR-IAE Fondation (2018) and serves on editorial boards, including the Journal of Financial Management & Economics . He has organized major conferences like the 38th International AFFI Conference (2022) and contributed to policy-related training sessions on financial risk and technology. Education: Ph.D. Finance, University of Rennes 1, France (2016) Master SKEMA Business School, Lille, France (2008) M.B.A., NUST Business School, Pakistan (2002) Research Interests: His work bridges theoretical finance with practical applications in corporate governance, cross-border M&A, and sustainability. Key themes include the impact of political risk on corporate decisions, cultural factors in M&A success, and machine learning applications in finance. Recent studies explore how societal trust influences Sukuk markets and environmental policies affect insolvency risk. Professional Contributions: Refereed over 50 academic articles for journals like Banker, Markets & Investors and Applied Economics Trained faculty on Bloomberg terminals and fintech topics Advisor on risk management for institutions like GARP Labs/Teams: Active in Rennes School of Business’s research centers, particularly the AI-Driven Business and Financial Market & Corporate Outcomes (FMCO) groups. Collaborates with global networks like CEMS and the Financial Engineering and Banking Society.

• Strategic Human Resource Management
• Human Resource Development/Training
• Employee Wellbeing
• +3 more

Dr Yanqing Lai is a Senior Lecturer at the Business School of Manchester Metropolitan University. Their research focuses on strategic human resource management (HRM), human resource development/training, employee wellbeing, and entrepreneurship. Current research interests include exploring nonlinear impacts of HR practices on wellbeing, management training effects on SME performance, and the implications of work-from-home models post-pandemic. Dr Lai's work emphasizes contextual and systemic factors in organizational studies, including meta-analytic investigations into training effectiveness and the interplay between HR practices and firm performance. They advocate for greater methodological rigor in evaluating training outcomes and have published widely on topics such as workplace partnerships, job satisfaction, and the role of learning & development professionals in organizational strategy. Key research contributions include: Examining HR sub-bundles and occupational skill differences in wellbeing Linking management training to SME export performance Systematic reviews of national HRD research Advocating for contextualized frameworks in training studies Dr Lai's office is located in 5.06B Business School, and they can be contacted at y.lai@mmu.ac.uk.

Babu Lourduraj John-MariadossView profile

Professor

• B2B Relationships
• B2B Sales Strategy
• Brand Identity
• +3 more

Babu Lourduraj John-Mariadoss is the J.B. Hoskins Professor of Marketing and Associate Professor at the Rawls College of Business, Texas Tech University. He specializes in B2B relationships, brand strategy, and international marketing. His roles include faculty director for assurance of learning and teaching undergraduate/graduate courses like Marketing Strategy and PhD Research Methods. PhD: University of Houston (2007) MBA: National Institute of Technology, India BEng: Anna University, India (Mechanical Engineering) Research focuses on B2B sales strategy, digital marketing, and innovation. His work appears in top journals like Journal of Marketing and Journal of Marketing Research . Editorial roles include editor-in-chief of Marketing Intelligence & Planning and associate editor for Journal of International Marketing . Awards include the Louis Stern Award (twice), Harold & Muriel Berkman Award (2022), and multiple doctoral dissertation honors. Previously taught at Washington State University for 13 years. Active in editorial reviews for leading journals and serves on multiple editorial boards.

• Accounting
• Auditing
• Fraud Examination
• +5 more

Dr. Arline Savage is a Professor and Chair of the Accounting and Finance department at the Collat School of Business, University of Alabama at Birmingham. She has held her professorship since August 15, 2012, and has served as Department Chairperson from August 1, 2014 to December 31, 2018, and again beginning August 10, 2024. Dr. Savage earned her PhD in Accounting from Nelson Mandela Metropolitan University in 1999, following a Master of Accounting (1996) and Bachelor of Science in Mathematics with a focus on Business/Commerce (1977) from the same institution. Dr. Savage's research spans multiple areas within accounting, with particular focus on Accounting Information Systems, Fraud Examination, Corporate Governance, and Ethics in Accounting. Her work bridges theoretical and practical aspects of accounting, with numerous publications examining the intersection of technology and accounting practices. She has made significant contributions to understanding research trends in top accounting journals through text mining approaches, and has developed educational materials such as audit simulations that are widely used in accounting education. Dr. Savage's scholarly output demonstrates a clear evolution from foundational work in accounting information systems toward more sophisticated analyses of accounting research trends and ethics. Her recent work (2020-2025) shows increased focus on mathematical modeling of internal controls, text mining of accounting literature, and the public interest implications of financial statement fraud. She has maintained consistent publication activity across multiple top-tier accounting journals, with particular emphasis on practical applications for both educators and practitioners. Reviewer for Journal of Accounting Education Reviewer for Journal of Forensic Accounting Research Reviewer for Issues in Accounting Education Reviewer for Alabama Performance Excellence Award Member of CSOB Executive Committee Member of Data Governance Committee As an educator, Dr. Savage has taught a wide range of accounting courses including Principles of Accounting, Financial Accounting, Accounting Information Systems, and Fraud Examination. She has mentored students through internship courses (AC464, AC564, FN460) and specialized topics in accounting (MBA684). Her commitment to connecting academic knowledge with professional practice is evident in her call for practitioners to engage more deeply with academia to provide students with real-world knowledge. Dr. Savage has been instrumental in integrating data analytics into the accounting program at UAB and has organized campus visits for the Alabama A&M Business Leadership and Support Team. Her work on the Integration of Data Analytics into Accounting Program reflects her commitment to modernizing accounting education to meet industry demands for data-savvy professionals.

• Intelligent Systems
• Internet of Things
• Wireless Sensor Networks
• +1 more

Gopal Lal Rajora is a Researcher in Training and doctoral student at the Institute of Technological Research (IIT) of Comillas Pontifical University, Madrid, Spain, since November 2020. His work focuses on intelligent systems and their application to power systems. Education : B.Tech in Electronics Instrumentation and Control Engineering (Rajasthan Technical University, 2015), M.Sc. in Applied Telecommunications and Engineering Management (Universitat Politècnica de Catalunya, Spain), and M.Sc. in Finance (University of Siena, Italy). Research Interests include Intelligent Systems , Internet of Things (IoT) , Wireless Sensor Networks , and Predictive Maintenance . His work applies machine learning and AI to optimize asset management in power systems and develop IoT solutions for agricultural monitoring. Projects involve Horizon 2020 grants like REDREAM (Real Consumer Engagement) and ATTEST (Advanced Tools for Decarbonization), as well as collaborations with Union Internationale des Chemins de Fer (UIC) and VERESCENCE La Granja S.L. His publications highlight trends in open-source toolboxes, HVDC systems, and pandemic impacts on energy consumption. Technical Skills span Python (data analysis, AWS Lambda, PySpark), HTML5, CSS3, JavaScript, and machine learning frameworks.

Andrew FodorView profile

Professor

• Asset Pricing
• Behavioral Finance
• Corporate Governance
• +3 more

Andrew Fodor is the Leona Hughes Professor of Finance at the College of Business, Ohio University, where he has served as Chair since 2013. He holds a PhD in Finance from Florida State University (2008) and dual B.A. degrees in Math and Economics from Capital University (2004). His research focuses on asset pricing, behavioral finance, corporate governance, and the connectedness of stock and option markets. He has published extensively in top journals such as the Journal of Futures Markets , Financial Management , and Journal of Business, Finance, and Accounting . His work examines how investor behavior and market microstructure influence pricing anomalies, volatility dynamics, and predictive return patterns. Notable contributions include analyzing option moneyness concentration's predictive power for stock returns and the role of implied dividends in signaling corporate actions. He explores topics like intraday trading effects, earnings announcement impacts, and extreme return prediction for portfolio management. Prof. Fodor has advised numerous academic papers and contributed to policy-relevant research on tax-efficient retirement strategies and market efficiency. His interdisciplinary approach bridges theoretical finance models with practical market behaviors.

Ivana Bestvina BukvićView profile

Associate Professor

• Corporate Banking
• EU Funding
• Cultural Management
• +1 more

Ivana Bestvina Bukvić is an Associate Professor at the Department of Finance and Accounting, Faculty of Economics and Business, Josip Juraj Strossmayer University in Osijek. She serves as head of the Lifelong Learning Center and has extensive industry experience in corporate banking at Zagrebačka banka. Her academic roles include positions at the Academy of Arts and Culture in Osijek, where she developed accredited study programs. Education & Affiliations: PhD in Accounting and Financial Reporting (2012) Master's in Accounting, Auditing and Finance (2005) Member of J.J. Strossmayer University Lifelong Learning Programs Committee Research Focus: Her work bridges finance, cultural management, and EU funding mechanisms. Key interests include: Financial analysis of public investments EU fund utilization in cultural/ICT sectors Behavioral aspects of digital payments Sustainability in financial practices Publication Trends: Recent works demonstrate strong focus on pandemic-era economic adaptations, AI in finance, and green financing instruments. Methodologies combine empirical data analysis with policy evaluation, particularly in Central European contexts. Projects & Advising: Coordinates projects on fiscal policies and economic growth. Currently developing financial literacy frameworks for educational applications.

Konstantinos BaltasView profile

Senior Lecturer

• Financial Stability
• Banking
• Financial Economics
• +11 more

Dr Konstantinos Baltas is a Senior Lecturer (Associate Professor) in Banking and Finance at Essex Business School (EBS), University of Essex, and a Fellow of the Higher Education Academy. He holds a PhD in Economics & Finance from Queen Mary University of London. His research focuses on Financial Stability, Fintech, Regulation, and Efficiency Analysis, with notable contributions to banking efficiency, cryptocurrency markets, and green finance. He has secured grants including a £19,858 award from the ESRC/The Productivity Institute (2023) and a €140,000 grant from the Hellenic Foundation for Research & Innovation (2024). Dr Baltas currently serves as Undergraduate Programme Director, Academic Lead of Partnerships, and Director of Study Abroad Studies at EBS. He has supervised multiple PhD students in Finance, including recent graduates Hamid Nejadghorban and Gadim Gadimov. His work spans 15+ peer-reviewed articles in journals like International Journal of Finance and Economics and Environmental and Resource Economics , addressing topics such as M&A efficiency, green bond performance, and post-pandemic healthcare resource management. He actively engages in global academic networks, presenting at conferences like the European Financial Management Association Annual Meeting (EFMA) and the Hellenic Finance and Accounting Association (HFAA). His research bridges theoretical finance with real-world applications in policy, sustainability, and crisis response.

Zijian GuoView profile

Associate Professor

• High-dimensional statistics
• Causal Inference
• Nonparametric Statistics
• +4 more

Zijian Guo is an Associate Professor in the Department of Statistics at Rutgers University, School of Arts and Sciences. He holds a PhD in Statistics from the University of Pennsylvania (2017) and a B.S. in Mathematics from The Chinese University of Hong Kong (2012). His research focuses on high-dimensional statistical inference, causal inference with instrumental variables, nonparametric methods, and applications in health and genomics data. Education: Ph.D., Statistics, The Wharton School, University of Pennsylvania (2017) B.S. (First Honor), Mathematics, The Chinese University of Hong Kong (2012) Research Interests: His work addresses uncertainty quantification in high-dimensional models, causal inference with invalid instruments, and machine learning applications in healthcare. Notable contributions include federated meta-learning, semi-supervised risk prediction, and robust Mendelian randomization analysis. Grants: NIH R01LM013614 (Co-PI): Semi-supervised Approaches to Denoising Electronic Health Records NIH R01GM140463 (PI): Predictive Modeling with High-Dimensional Incomplete Data NSF DMS 2015373 (Co-PI): Repro Sampling Method for Discrete Parameter Inference Awards: ICSA New Researcher Award (2019) Bernoulli Society New Researcher Award Honorable Mention (2023) President Gutmann Leadership Award (2017) He has developed R packages like SIHR, RobustIV, and DDL for high-dimensional statistical inference. Teaching includes Financial Data Mining and Advanced Modern Statistical Inference at the PhD level.

• Sharing Economy
• Customer Relationship Management (CRM)
• Marketing Strategy
• +3 more

Dominik Georgi is a Professor and Head of the Competence Center for Marketing Management at the Lucerne School of Business (HSLU). He holds a Habilitation (2007) and PhD (2000) in Business Administration from the University of Basel. His academic career includes roles as a Professor at Frankfurt School of Finance and Management (2007–2014) and Senior Consultant at Vectia (2000–2002). His research focuses on the Sharing Economy, Customer-to-Customer Interactions, and Sustainable Marketing strategies. Georgi’s research interests span Peer-to-Peer Strategies, CRM, and Digital Marketing. He has led projects on sustainable consumer behavior, sharing platforms, and electrification of urban infrastructure. Key publications include works on referral reward programs, sustainable online retail, and cognitive dissonance in consumer decisions. His professional activities include advising companies like BLS AG and collaborating with institutions on sustainability initiatives. Georgi emphasizes bridging academic insights with practical applications, contributing to both theoretical advancements and industry solutions in service and marketing domains.

Nick TsitsianisView profile

Associate Professor

• Corporate Governance
• Financial Performance Analysis
• Sustainability and Environmental Economics
• +3 more

Dr. Nick Tsitsianis is an Associate Professor and Reader in Accounting at Queen Mary University of London's School of Business and Management. He serves as Programme Director for the MSc Accounting and Finance, a joint initiative with the School of Economics and Finance. His academic roles include membership in the Department of Accounting and Financial Management and the Accounting and Accountability Research Centre. Education: PhD in Labour Economics and Microeconometrics from Brunel University Previous Positions: Academic roles at Brunel University, University of Kent, and University of Hertfordshire Research Interests: Focuses on corporate governance, financial performance, sustainability reporting, Big Data analytics, and labour market dynamics. Recent work explores carbon emissions, business models in financialized environments, and stakeholder visibility. Publications: Over 30 refereed articles in journals like Critical Perspectives in Accounting and British Journal of Industrial Relations , plus four books and book chapters. Key themes include corporate strategy, financial leverage, and digital divide analyses. Awards: CABS LTSE 2018 Poster Competition Winner, Fellow of the Higher Education Academy (FHEA) Teaching & Supervision: Teaches labour economics, research methods, and accounting. Supervises five PhD students and has eight doctoral completions. External examiner roles at Manchester Business School and others. Professional Contributions: Contributed to Global MBA modules, developed non-credit courses, and produced impact reports on outsourcing and bio-pharma sectors.

Lurion De MelloView profile

Senior Lecturer

• Energy Economics
• Financial Markets
• Climate Finance
• +4 more

Dr. Lurion De Mello is a Senior Lecturer at the Department of Applied Finance within Macquarie Business School at Macquarie University. He is affiliated with the Centre for Risk Analytics and Transforming Energy Markets Research Centre. His research focuses on energy economics, financial markets, climate finance, and commodity pricing dynamics. He has held teaching roles since 2012, receiving multiple teaching awards including the Deans Award (2015) and Macquarie Business School L&T Award (2020). Educated at... [Details not explicitly provided in text] Key research areas include analyzing investor sentiment, climate variability impacts on financial instruments, and macroeconomic policy effects like the Federal Reserve's quantitative easing. He explores energy crisis dynamics, electricity pricing challenges, and commodity market volatility linked to climate patterns. Recent work highlights the interplay between El Niño forecasts and commodity returns. His 2023-2025 publications address modern economic challenges like cost of living pressures and energy transition complexities. Media engagements include expert commentary on 2GB Radio and ABC TV regarding inflation, interest rates, and energy affordability. Projects: Led initiatives like 'The Impacts of a Carbon-Constrained World on the Financial Industry' (2018-2019) and contributed to the National Equity in Business Education Program (2020-2021) Active in academic community organizing events like the Australasian Development Economics Workshop (2023) and presenting at forums like the Macquarie University Economics Society (2022).

Dion BongaertsView profile

Professor

• Financial Technology
• Credit Rating Agencies
• Market Liquidity
• +3 more

Prof. Dion Bongaerts is Professor of Financial Technology and Data Analytics at Rotterdam School of Management (RSM), Erasmus University Rotterdam, and Academic Director of Fintech at the Erasmus Center for Data Analytics. His research examines credit markets, liquidity dynamics, and FinTech applications. Research interests include the behavior of credit rating agencies, pricing mechanisms for credit instruments, origins of market illiquidity, blockchain technology, and AI applications in finance. His work combines empirical analysis with theoretical models to address market efficiency questions. Publications demonstrate consistent focus on market microstructure innovations, regulatory impacts, and sustainable finance. Recent work explores circuit breakers in crisis prevention and liquidity dynamics in green bond markets. Significant Awards: ERIM Outstanding Young Researcher Award (2011) Lamfalussy Fellowship (ECB) Multiple NWO research grants Extensive PhD supervision includes 12 completed doctoral projects on topics spanning banking, market coordination, and financial technology.