جست‌وجوی استاد و پژوهشگر

Hajo Adamمشاهده پروفایل

استاد

• Organizational Psychology
• Cross-Cultural Management
• Conflict Resolution
• +۳ مورد دیگر

Hajo Adam is a Professor in the Department of Management at the University of Bath, affiliated with the Strategy & Organisation group. His research focuses on organizational psychology, particularly cultural influences and conflict dynamics. He explores how multicultural experiences and cultural differences shape decision-making, creativity, and identity, while also investigating emotional management in negotiations and cross-cultural conflict resolution. Education: M.Sc. and Ph.D. from INSEAD, followed by a Postdoctoral Fellowship at Northwestern University’s Kellogg School of Management and a prior role as Assistant Professor at Rice University’s Jones Graduate School of Business. Recognized for teaching excellence at Kellogg, Rice, and Bath, he was also named one of the world’s 40 top business school professors under 40 by Poets & Quants. Research interests span cultural psychology (e.g., multiculturalism’s impact on identity) and conflict resolution (e.g., anger’s role in negotiations). His work bridges theory and practice, with findings featured in outlets like Psychological Science and popular media such as the New York Times and Harvard Business Review . Awards: Teaching Excellence Awards (Kellogg, Rice, Bath) Poets & Quants ‘40 Under 40’ Recognition His advising and grants history remains unspecified, though his research contributions emphasize organizational dynamics and cultural influences. He has contributed to executive education programs on negotiation and decision-making.

Simon Parkerمشاهده پروفایل

مدرس ارشد

• Business and Society
• Critical Management Studies
• Organizational Justice
• +۴ مورد دیگر

Dr. Simon Parker serves as a Senior Lecturer in Business and Society at Bayes Business School, City St George's, University of London. He joined Bayes Business School in July 2024 following previous academic positions at Nottingham University Business School and Warwick Business School, where he earned his PhD. His academic work focuses on critical perspectives examining issues of justice and fairness in organizational contexts. Dr. Parker's research program centers on alternative organizational forms such as cooperatives and sustainable financial institutions that challenge conventional business practices. His work frequently employs critical management studies frameworks to investigate how these alternative structures disrupt dominant ways of organizing while also examining deviant actors and misconduct within traditional organizational settings. His publications span organizational theory, entrepreneurship, business ethics, and gender studies. His recent scholarly output demonstrates a strong focus on institutional change, organizational wrongdoing, and the relationship between gender and innovation. Parker's 2025 publications in Academy of Management Review on 'Institutional Parasites' represent significant theoretical contributions to understanding how illegitimate actors can paradoxically maintain and transform institutions. His research often employs qualitative and critical methodologies to examine taken-for-granted assumptions in organizations. Lord Dearing award for student engagement and teaching (2023) As an educator, Dr. Parker has developed creative pedagogical methods that earned him the Lord Dearing award at the University of Nottingham. His teaching spans various business topics across educational levels, with emphasis on critical perspectives and experiential learning through alternative organizations. He encourages students to confront inconsistencies and ambiguities in organizational practices, fostering deeper critical reflection on business practices.

Gianluca Baioمشاهده پروفایل

استاد

• Health Economics
• Bayesian Statistics
• Causal Inference
• +۵ مورد دیگر

Gianluca Baio is a Professor of Statistics and Health Economics at University College London (UCL), Department of Statistical Science. He holds a PhD in Applied Statistics from the University of Florence and has worked extensively in Bayesian statistical modeling for healthcare applications, including cost-effectiveness analysis and causal inference. His research focuses on hierarchical models, missing data methods, and health economic evaluation, with notable contributions to HPV vaccination cost-effectiveness and policy impact assessments. Education: PhD in Applied Statistics, University of Florence (Italy) Master's in Statistics and Economics, University of Florence Visiting Researcher, MIT Sloan School of Management (USA) Research Interests: Bayesian methods in health economics Missing data imputation in clinical trials Cost-effectiveness analysis Interrupted time series for policy evaluation Value of Information analysis Healthcare resource allocation Key Grants: Wellcome Trust-funded study on Bayesian hierarchical frameworks for policy evaluation (2021–2025) MRC grant on regression discontinuity design for drug evaluation (2013–2015) NIHR grants on stepped-wedge trial methodologies Awards & Recognition: None explicitly listed, but recognized for contributions to Bayesian HTA methodologies. Professional Activities: Lead of UCL's Statistics for Health Economic Evaluation Group Author of R packages BCEA and survHE Editorial board member of Medical Decision Making

• Behavioral Economics
• Experimental Economics
• Bounded Rationality
• +۳ مورد دیگر

Jiwei Zheng serves as Senior Lecturer (Associate Professor) in Applied Microeconomics within the Department of Economics at Lancaster University Management School. His academic profile centers on experimental methodologies to investigate human decision-making processes and strategic interactions. Dr. Zheng's research expertise spans Behavioral Economics and Experimental Economics with concentrated focus on bounded rationality, nudge theory, and behavioral games. His work systematically examines how cognitive constraints affect economic choices and how subtle environmental modifications can steer behavior. A significant portion of his scholarship investigates focal points in coordination games, player labeling effects in tacit bargaining scenarios, and the psychological framing of collective versus individual interests. His experimental approach bridges theoretical game models with empirical validation through controlled laboratory settings. Analysis of his 15 most recent publications reveals consistent emphasis on experimental game theory applications, particularly coordination problems with focal points (appearing in 9 of 15 papers). His work demonstrates increasing methodological sophistication from pure laboratory experiments toward field applications like recycling incentives and cryptocurrency markets, while maintaining core focus on behavioral anomalies in strategic decision-making. Scientific Awards: Dean's Award 2022 Dr. Zheng actively supervises PhD candidates including Dimitrios Fylatos and Qihang Guo in Behavioral and Experimental Economics. His current research portfolio includes three major projects: Losses in tacit bargaining games with focal points (2021-2024), The role of player labels as focal points in tacit bargaining games (2020-2023), and the ongoing investigation Effect of Social Media on Cryptocurrency Pricing and its Economic Consequences . He serves as peer reviewer for leading journals including Games and Economic Behavior and Journal of Behavioral and Experimental Economics. He contributes to the Behavioral and Experimental Economics Research Group at Lancaster University Management School, where his work informs both theoretical advancements and practical policy applications in choice architecture and strategic interaction design.

Filippos Papakonstantinouمشاهده پروفایل

دانشیار

• Behavioral Economics
• Finance
• Household Finance
• +۷ مورد دیگر

Filippos Papakonstantinou is a Reader (equivalent to Associate Professor) in Finance at King’s Business School, King’s College London, specializing in Behavioral Economics and Finance. His research focuses on household finance, asset management, Bayesian econometrics, and mutual fund performance analysis. Education: BA in Economics from Harvard University (2002), MA and PhD in Economics from Princeton University (2004/2008). Prior roles include Assistant Professor at Imperial College Business School and teaching positions at Harvard, Princeton, and Queen Mary University of London. Research interests include behavioral finance mechanisms, investor decision-making, and ESG investing. His work has been published in top journals like the Journal of Finance and Review of Financial Studies . Notable contributions address false discoveries in mutual fund performance, history-dependent risk preferences, and greenwashing in ESG investments. Awards include the Excellence in Teaching Award (2011, 2012) and the Eureka Award for combating greenwashing (2023). He has advised on projects for central banks and statistical agencies, focusing on financial and macroeconomic forecasting.

Takashi Hayashiمشاهده پروفایل

استاد

• Microeconomic theory
• Decision theory
• Social choice
• +۳ مورد دیگر

Professor Takashi Hayashi holds the rank of Professor in Economics at the Adam Smith Business School, University of Glasgow. He previously held positions at the University of Texas at Austin and completed his PhD at the University of Rochester in 2004. His research focuses on decision-making under uncertainty and over time, encompassing both individual and collective contexts. Key areas include social choice theory, welfare economics, and the axiomatic analysis of consistent/inconsistent decision-making processes. He is affiliated with the Microeconomics research cluster at Glasgow. His recent work explores belief aggregation, dynamic collective choice, and intertemporal decision mechanisms. Articles from 2024–2022 emphasize topics like heterogeneous discounting, self-control models, and envy-free solutions under labor disparities. Hayashi has supervised three PhD students: Song Xihao, Zhang Tiannan, and Zhao Xinchi. He teaches Microeconomic Analysis (MA) and has authored books on macroeconomics and microeconomics. His experimental studies investigate partial equilibrium mechanisms and inter-sectoral coordination.

Jun Liuمشاهده پروفایل

استاد

• Artificial Intelligence
• Trustworthy AI
• Explainable AI
• +۴ مورد دیگر

Professor Jun Liu is a Professor of Artificial Intelligence and Director of the Artificial Intelligence Research Centre (AIRC) at the School of Computing, Ulster University. With over 270 publications and more than £18 million in research funding, he is a leading figure in artificial intelligence, particularly in trust and explainable AI systems and logic-based reasoning methods. Dr. Liu received his BSc and MSc degrees in Applied Mathematics, and PhD degree in Information Engineering from Southwest Jiaotong University, Chengdu, China, in 1993, 1996, and 1999, respectively. Prior to joining Ulster University, he held postdoctoral positions at The University of Manchester, UK (Feb. 2002 - Dec. 2004) and the Belgian Nuclear Research Centre (SCK*CEN) (Mar. 2000 - Feb. 2002). Professor Liu's research focuses on trust and explainable data-knowledge integrated AI decision models with applications in safety and risk analysis, policy decision making, security/disaster management, and healthcare; and logic and automated reasoning methods for intelligent systems, including resolution-based automated reasoning and lattice-valued logics for handling incomparability, inconsistency, and imprecision. His work spans theoretical foundations to practical applications in smart homes, healthcare, and industrial settings. His recent publications demonstrate a strong trend toward developing more trustworthy and explainable AI systems, with particular emphasis on belief rule-based approaches for handling uncertainty in decision-making. The research spans multiple domains including smart home activity recognition, medical imaging, food quality analysis, and environmental monitoring, showing the versatility and applicability of his methodologies. Ulster University best computer science paper award for 2016 IEEE Senior Member including IEEESMC and IEEECI Fellow of the UK Higher Education Academy Associate Editor of IEEE Transaction on Fuzzy Systems Current Chair of IEEE CIS Emergent Technologies Technical Committee As Director of the Artificial Intelligence Research Centre, Professor Liu has secured significant research funding as principal investigator and co-investigator. His current projects include "The use of Agentic AI in judicial decision-making" funded by EPSRC and "Adaptive Modeling Method for Deep Belief Rule Base" for smart home applications. He serves on editorial boards of multiple high-impact journals and organizes international conferences including the 23rd UK Workshop on Computational Intelligence. The Artificial Intelligence Research Centre under Professor Liu's leadership focuses on developing cutting-edge AI methodologies with practical applications. The center collaborates extensively with industry partners including BT through the BTIIC Phase 2 initiative and PwC through their Advanced Engineering and Research Centre, ensuring research has real-world impact across multiple sectors.