جست‌وجوی استاد و پژوهشگر

Chongfeng Weiمشاهده پروفایل

دانشیار

• Decision-making and Planning of Intelligent Vehicles
• Collective Autonomy
• Robotic System Design
• +۵ مورد دیگر

Dr. Chongfeng Wei is an Associate Professor (University Senior Lecturer) at the James Watt School of Engineering, University of Glasgow. Prior to joining the University of Glasgow, he was a lecturer at Queen's University Belfast. His research focuses on intelligent vehicles, autonomous systems, and human-robot interaction, with applications in transportation and robotics. Dr. Wei's research spans several key areas in autonomous systems and vehicle dynamics: Decision-making and Planning of Intelligent Vehicles Collective Autonomy: Perception and Planning Robotic System Design and Dynamical Control Dynamics and Control of Mechanical Systems Human Behaviour Study and Prediction His recent publications demonstrate a strong focus on human-vehicle interaction, with particular emphasis on pedestrian-vehicle interactions, decision-making frameworks, and control strategies for autonomous systems. His work often combines AI technologies, bio-designs, and first principles of dynamics and control to create smarter or human-acceptable autonomous systems. Dr. Wei serves as an Associate Editor for several prestigious journals including IEEE Transactions on Intelligent Transportation Systems (TITS), IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Intelligent Vehicles (TIV), IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS), and Frontiers on AI and Robotics. He actively supervises PhD students and postdoctoral researchers, with current projects focusing on vision-based 3D flow prediction, pedestrian interaction modeling, and multimodal interaction for behavior prediction in autonomous driving.

Victor Klockmannمشاهده پروفایل

استادیار

• Economics and Ethics of Artificial Intelligence
• Behavioral and Experimental Economics
• Game Theory
• +۵ مورد دیگر

Victor Klockmann is a Junior Professor of Microeconomics, specifically focusing on the Economics of Digitization at the University of Würzburg's Faculty of Management and Economics, Department of Economics. He also serves as an Associate Research Scientist at the Center for Humans and Machines, Max Planck Institute for Human Development in Berlin, and is an Affiliated Researcher at the Frankfurt Laboratory for Experimental Economic Research (FLEX) at Goethe University Frankfurt. His academic career spans multiple prestigious institutions with a focus on the intersection of economics, artificial intelligence, and human behavior. PhD in Economics (Dr.rer.pol), Goethe University Frankfurt, 2021 (Summa cum laude) M.Sc. Quantitative Economics, Goethe University Frankfurt, 2018 M.Sc. Mathematics, Goethe University Frankfurt, 2016 B.Sc. Mathematics, Goethe University Frankfurt, 2014 Professor Klockmann's research focuses on the economic and ethical implications of artificial intelligence, behavioral and experimental economics, game theory, and organizational economics. His work examines how new technologies impact organizations and human behavior, the interaction and cooperation between humans and non-human agents, and the future of work in times of technological change. His experimental approach combines theoretical economics with laboratory experiments to understand the nuanced dynamics of human-AI interactions. Analysis of his publications reveals a strong emphasis on ethical considerations in AI deployment, particularly regarding distributional fairness, social preferences toward machines, and intergenerational responsibility. His work spans multiple disciplines, bridging economics, computer science, psychology, and ethics, with a consistent focus on experimental methodologies to generate empirical evidence about human behavior in technological contexts. Scientific Awards and Recognition: External Funding from DFG for Strategic Interactions in Organizational Decision-Making (2024) Funding from Hessian Center for AI for Cooperation with Machines (2023) PhD Paper Award at IAREP/SABE Conference (2019) Prize for Best Master in Quantitative Economics (2019) Professor Klockmann actively supervises bachelor's and master's theses in Business Management, Economics, Business Informatics, and related fields. His research has attracted significant external funding from the German Research Foundation (DFG), the Hessian Center for Artificial Intelligence, and the Leibniz Institute for Financial Research SAFE. His current projects explore strategic interactions with generative AI, cooperation in human-algorithm settings, and the organizational implications of new technologies. He is affiliated with the Man and Machine research team at the Max Planck Institute, where he investigates human-AI interaction dynamics, and contributes to the Frankfurt Laboratory for Experimental Economic Research (FLEX), which specializes in experimental approaches to economic questions. His research environment combines cutting-edge experimental facilities with theoretical economic analysis to address pressing questions about technology's role in society.

Luc Audebrandمشاهده پروفایل

استاد

• Social Economy Organizations
• Cooperative Management
• Paradox Theory
• +۵ مورد دیگر

Luc Audebrand is a Full Professor at the Management Department of the Faculty of Business Administration (FSA ULaval) at Université Laval, where he holds the Chair of Leadership in Teaching on Social Engagement. His academic career spans several decades with significant contributions to the fields of social economy, cooperative management, and responsible business education. Dr. Audebrand earned his Doctorate in Business Administration (Ph.D.) from HEC Montréal, a Master of Human Resources Management (M.Sc.) from HEC Montréal, and a Bachelor of Psychology (BA) from the University of Montreal. His educational background in psychology and business administration informs his interdisciplinary approach to management research and education. His research focuses on the creation and management of social economy organizations, paradoxes and tensions in social economy organizations, and metaphorical pluralism in management education from a sustainable development perspective. Audebrand's work often explores cooperative business models, fair trade organizations, and responsible entrepreneurship. He has developed educational tools like the Responsible Entrepreneurial Project Matrix and the Responsible Business Model Canvas to help students and entrepreneurs integrate sustainability and social responsibility into business practices. His recent publications demonstrate a strong focus on responsible management education, cooperative governance, and the intersection of technology with social economy. His work spans multiple disciplines including organizational theory, cooperative studies, sustainable business models, and entrepreneurship education. A recurring theme in his research is the exploration of paradoxes and tensions that arise in social economy organizations and how they can be managed effectively. Dr. Audebrand actively supervises students and has contributed significantly to university and faculty initiatives, particularly in advancing responsible management education. He has participated in numerous research projects examining social economy organizations, cooperative business models, and responsible entrepreneurship. His work has practical implications for social economy organizations, cooperatives, and businesses seeking to integrate social responsibility into their operations. Through his research and educational tools, he has helped bridge the gap between academic theory and practical application in the social economy sector.

• Digital Media Law
• Technology Law
• Data Privacy
• +۵ مورد دیگر

Dr Elizabeth Englezos is a Lecturer at Griffith Law School, Griffith University, appointed since February 2024. She serves as a member of the QLS Advisory Group on Generative AI in Legal Education and previously contributed to the Law Futures Centre (2023-2024). Her academic appointments include editorial roles as Managing Editor of Griffith Law Review (2025-present) and Copy-editor for the Journal of Cross-disciplinary Research in Computational Law (2024-present). Her educational background features: Doctor of Philosophy (PhD), Griffith University (2022), thesis: '#Hyperconnection: Law and the digital influence on individual identity' Bachelor of Laws (First Class Honours), Griffith University (2019) Graduate Diploma of Legal Practice, Queensland University of Technology Dr Englezos' research examines law's intersection with digital technologies, focusing on digital identity harms, algorithmic decision-making, and privacy regulation. Her work analyzes how digital environments impact individual autonomy through platforms, misinformation ecosystems, and AI systems. Key contributions address platform liability frameworks, democratic challenges in digital public spaces, and regulatory responses to emerging technologies. She employs interdisciplinary methodologies combining legal theory, semiotic analysis, and policy evaluation to develop practical governance solutions for contemporary digital dilemmas. Her publication trajectory (15 outputs 2018-2025) reveals increasing focus on AI governance and platform accountability, with recent works examining algorithmic policing, biodiversity law in pandemic contexts, and generative AI implications. The research consistently bridges theoretical analysis with practical regulatory applications across jurisdictions. Dr Englezos actively translates research into pedagogy through her 'Law and Digital Media' elective (launched 2022) and Contracts 1 teaching. Her professional engagement includes policy submissions to government consultations and editorial leadership. Current activities center on generative AI's impact on legal education through her QLS Advisory Group membership, positioning her at the forefront of emerging digital law challenges.

Marie-Pierre Dargniesمشاهده پروفایل

مدرس

• Behavioral Economics
• Finance
• Gender Studies
• +۴ مورد دیگر

Marie-Pierre Dargnies is a Lecturer in Finance at Paris-Dauphine University, where she has been employed since September 2012. Her academic career spans behavioral economics and finance, with a particular focus on gender differences, competition, and decision-making processes. Dr. Dargnies completed her doctoral thesis titled "Gender and Taste for Competition: A Behavioral Approach" in November 2009 at the University of Paris 1 Panthéon-Sorbonne and the Paris School of Economics, supervised by Guillaume Hollard. Following her doctorate, she spent two years as a postdoctoral fellow at the WZB (Berlin Social Science Center) in Berlin, working in Dorothea Kuebler's team from September 2010 to August 2012. Her research primarily employs laboratory experiments to investigate questions at the intersection of behavioral economics and finance. Dr. Dargnies has developed a strong research focus on gender differences in economic behavior, particularly examining how men and women respond differently to competition, feedback, and trust scenarios. Her work often explores the psychological mechanisms underlying economic decisions, with a special interest in self-confidence, matching markets, and algorithmic decision-making. Analysis of her recent publications reveals a clear trajectory focusing on the impact of gender in economic decision-making, with increasing attention to modern challenges like algorithmic hiring and trust in technological systems. Her research combines rigorous experimental methodology with practical implications for labor markets and organizational behavior, demonstrating a consistent interest in how psychological factors shape economic outcomes. Dr. Dargnies actively participates in major academic conferences including the Economic Science Association World Meeting and the French Association of Experimental Economics conferences, presenting her findings to international scholarly audiences.

Tiziana Cianoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Applied Mathematics
• Machine Learning
• +۷ مورد دیگر

Tiziana Ciano (born April 21, 1991) serves as a tenured Researcher and Assistant Professor at the Department of Economic and Political Sciences, University of Aosta Valley. She holds a PhD in Law and Economics & Doctoral Europaeus from Mediterranean University of Reggio Calabria & University of Portsmouth, and a Master's Degree in Economics obtained with highest honors. Her academic appointments include Contract Professor at DICEAM Department, Mediterranean University of Reggio Calabria, and membership in Decisions_Lab scientific laboratory. Dr. Ciano's research spans mathematical economics with strong AI applications: Artificial Intelligence and Applied Mathematics Machine Learning and Deep Learning for socio-economic systems Stochastic Programming and Multi-objective Optimization Dynamic Systems and Epidemic Modeling Decision Support Systems for tourism and finance Her recent publications reveal a consistent focus on applying advanced mathematical methods to portfolio optimization, pandemic dynamics, climate change sustainability, and tourist flow forecasting. She has developed tri-objective optimization models for financial decision-making and fuzzy fractional-order models for pandemic dynamics, demonstrating methodological innovation across multiple domains. Dr. Ciano has received multiple prestigious recognitions including the Best Poster Award at DySES2022 conference for her work on fake news sentiment analysis during pandemics, a Research Award for her paper on duopoly game analysis published in Symmetry, and the Anassilaos Giovani Ricerca Award under the patronage of the President of the Republic of Italy. She serves on editorial boards of high-impact journals including Mathematics (MDPI) Financial Mathematics section (Q1, IF 2.592), Applied Mathematical Sciences, and International Journal of Contemporary Mathematical Sciences. As Guest Editor, she has curated special issues on mathematical economics, differential games, and symmetry in machine learning algorithms. She regularly referees for Mathematical Problems in Engineering, Information Processing & Management, and Scientific Reports (NATURE). Dr. Ciano actively participates in Decisions_Lab research laboratory and leads multiple collaborative projects including MONTUR (Real-time Monitoring of Tourist Flows in Aosta Valley), MEC – Marketplace Ecosostenibile Calabria, and IUSTIT-IA. She has organized numerous international conferences including AMASES 2023, NUMTA2023, and special sessions on predictive analytics and machine learning applications in socio-economic systems.

Reiner Marchthalerمشاهده پروفایل

استاد

• Embedded Systems
• Sensor Data Fusion
• Kalman Filters
• +۲ مورد دیگر

Prof. Reiner Marchthaler is a Professor at Esslingen University of Applied Sciences within the Faculty of Computer Science and Information Technology. He serves as Deputy Director of the Institute for Intelligent Systems (IIS), Scientific Director of the Green IT 2026 Conference, and Liaison Lecturer for the Friedrich Ebert Foundation. His academic leadership spans autonomous systems research and educational initiatives in embedded technologies. His research centers on Embedded Systems and Sensor Data Fusion, with pioneering work on Kalman filters for autonomous systems. He maintains the authoritative resource kalman-filter.de and has developed real-time capable SLAM algorithms, camera-based reference systems, and parking space detection frameworks. His expertise extends to entropy-based safety evaluation in autonomous driving and semantic segmentation using mixed real/synthetic data. Analysis of his 2020-2025 publications reveals dominant trends in autonomous driving systems, emphasizing real-time sensor fusion, deep learning for perception, and safety validation. Key subfields include adaptive Kalman filtering (ROSE-Filter), landmark-based navigation, neural network training with synthetic data, and maximum entropy safety frameworks. His work bridges theoretical innovation with automotive applications, particularly in model vehicle testing environments. Prof. Marchthaler leads research at the Institute for Intelligent Systems, directing the Green IT 2026 initiative and advising the Friedrich Ebert Foundation. His team develops ROS-based validation environments for autonomous algorithms and maintains the Kalman filter knowledge portal. Current projects focus on connected traffic systems using conventional infrastructure landmarks and entropy-optimized safety protocols for production vehicles.