جست‌وجوی استاد و پژوهشگر

Eva Lövbrandمشاهده پروفایل

استاد

• Environmental Politics
• Climate Governance
• Anthropocene Studies
• +۵ مورد دیگر

Eva Lövbrand is a Professor at Linköping University in Sweden, affiliated with the School of Thematic Studies (Institutionen för Tema) and specifically working within Theme Environmental Change (Tema Miljöförändring). Her academic career spans multiple institutions including Kalmar University, Lund University, and international research stays at Stockholm University, University of Melbourne, University of Auckland, and University of Colorado. Her research focuses on the intersection of environmental politics, knowledge production, and policy-making processes, particularly examining how scientific ideas and expert practices shape environmental governance. Lövbrand has made significant contributions to understanding climate governance, the Anthropocene concept in political theory, youth representation in climate politics, and carbon market mechanisms. Her work critically analyzes how environmental problems like climate change become knowable and governable through specific expert practices and measurement systems. Lövbrand's recent publications demonstrate a clear trajectory toward examining societal transformations in response to climate change, with particular attention to youth representation, spatial dimensions of climate transitions, and the political implications of the Anthropocene concept. Her research increasingly addresses questions of justice, representation, and the practical challenges of implementing climate policies in complex societal contexts. She serves as Deputy Program Director for Mistra Geopolitics: Sustainable Development in a New Geopolitical Era, and is Scientific Coordinator for the Earth System Governance Project's Conceptual Task Force on the Anthropocene. Lövbrand is also a member of the editorial boards for several prominent journals including Global Environmental Politics, Critical Policy Studies, The Anthropocene Review, and Earth System Governance Journal. Lövbrand leads and participates in multiple research projects including the Center for Climate Policy Research (CSPR), research on youth representation in world politics, and studies examining Sweden's transition to a fossil-free society. Her work combines theoretical innovation with practical relevance to contemporary environmental challenges.

Sujoy Boseمشاهده پروفایل

دانشیار

• Physical Therapy
• Cardiovascular and Pulmonary Rehabilitation
• Acute Care Practice
• +۳ مورد دیگر

Sujoy Bose is an Associate Professor at the School of Physical Therapy at Marshall University , where he focuses on evidence-based acute care physical therapy and healthcare cost management. His clinical expertise spans cardiovascular and pulmonary rehabilitation, diagnostics, and care for medically complex patients. University: Marshall University School: School of Physical Therapy Email: boses@marshall.edu Research Interests Bose investigates: Knowledge translation in acute care physical therapy Innovative practice models for hospital-based therapy Cost-containment strategies through evidence-based protocols Pediatric vital sign interpretation frameworks Publication Trends His 15 most recent publications emphasize acute care physical therapy, cardiovascular rehabilitation, and outcomes research. Key themes include: Preoperative education for surgical recovery Functional mobility assessment tools Diabetes management through exercise Optimizing consultation practices in acute care

• Social Cognition
• Social Perception
• Psychological Methodology
• +۴ مورد دیگر

Dr. Piotr Dragon is an Assistant Professor at the Department of Social Psychology, Institute of Psychology, Jagiellonian University , and a member of the Centre for Social Cognitive Studies in Kraków. He holds dual degrees in Psychology (2010) and Sociology (2011) from Jagiellonian University, with a doctorate in Psychology (2015).

Mathis Jérômeمشاهده پروفایل

استاد

• Economics
• Finance
• Political Science
• +۳ مورد دیگر

Mathis Jérôme is a Professor of Economics and Finance at Paris Dauphine-PSL University. He holds a Master's degree in Mathematics from the École Polytechnique and Pierre and Marie Curie University (Paris VI), a Master's degree in Economics from Panthéon-Sorbonne University (Paris I), and a PhD in Economics from the Paris-Ouest Doctoral School of Economics and Mathematics. He is also an agrégé de l'enseignement supérieur in Economics. His educational background demonstrates a strong foundation in both mathematical and economic disciplines, allowing him to approach complex economic problems with rigorous analytical methods. Professor Jérôme's research focuses on the analysis of strategic behavior in contexts of asymmetric information. His work spans multiple fields including finance (particularly regulation of financial markets), economic theory, and political science (with emphasis on deliberation in committees). His theoretical contributions have significant practical implications for understanding market behavior, information transmission, and decision-making processes in various institutional settings. His scholarly output includes numerous publications in top-tier academic journals across economics, finance, and political science. His research demonstrates a consistent focus on information asymmetry and strategic behavior, with applications to financial markets, expert consultation, and committee decision-making. Professor Jérôme has received notable recognition for his work, including the 'Young Economic Researcher of the Year' award from the Banque de France Foundation. In 2022, his book 'How Much is a Life Worth?' was honored with the Turgot Jury Prize of the Year, presented by Jean-Claude Trichet at the Ministry of the Economy, Finance and Recovery. Beyond academic research, Professor Jérôme actively contributes to public discourse on economic issues, frequently publishing analyses in major French media outlets such as La Croix, Le Monde, Le Parisien, Les Échos, L'Expansion, Libération, Le Figaro, La Tribune, Capital, and Forbes. He is the author of the book series 'Finance at the Heart of Our Lives' and maintains a blog with the same name, which aims to demystify finance for the general public.

• Mechanism Design
• Auction Theory
• Voting Institutions
• +۵ مورد دیگر

Benny Moldovanu serves as Professor of Economics at the University of Bonn, where he concurrently holds leadership positions as Director of the Graduate School and founding Co-Director of the Hausdorff Center for Mathematics. His academic influence extends internationally through visiting professorships at the University of Michigan, Northwestern University, Yale University, and University College London. His research program centers on mechanism design, with pioneering applications to auction theory, dynamic pricing systems, competitive contests, and voting institutions. This work bridges theoretical economics with real-world policy challenges, particularly in industrial organization and political economy contexts where strategic decision-making is critical. His methodological approach combines rigorous game-theoretic modeling with practical institutional design. Recent publications demonstrate consistent application of mechanism design principles to contemporary political-economic challenges including Brexit negotiations, two-sided market dynamics, and historical legislative analysis, while maintaining foundational contributions to auction theory and social choice mechanisms. Moldovanu's scientific contributions have earned significant recognition: Fellow of the Econometric Society Max Planck Prize Gossen Prize His professional impact extends beyond academia through advisory roles for major corporations and government entities on auction design and strategy implementation. Editorial leadership includes associate editorships at premier journals such as Econometrica, Journal of Economic Theory, Games and Economic Behavior, and Journal of the European Economic Association. As founding Co-Director of the Hausdorff Center for Mathematics, Moldovanu cultivates interdisciplinary research at the intersection of mathematical theory and economic applications, fostering collaborative projects that address complex institutional design problems through advanced quantitative methods.

• Practice Theory
• Organizational Studies
• Healthcare Innovation
• +۳ مورد دیگر

Davide Nicolini is a Professor of Organization Studies and Director of the IKON Organisation and Work Group at Warwick Business School, University of Warwick. He concurrently serves as a Visiting Professor at BI Norwegian Business School in Oslo. His prior affiliations include faculty positions at the University of Trento (Italy) and a senior social scientist role at the Tavistock Institute of Human Relations in London, where he developed extensive experience in action-learning program design and action-research interventions. Professor Nicolini's research centers on practice-based approaches to understanding organizational phenomena through the lens of everyday work practices. He investigates how knowing, learning, and change emerge in complex environments—particularly healthcare systems—with significant contributions to innovation processes, safety management, and ethical decision-making frameworks. His work bridges theoretical rigor with practical application, employing ethnographic methods to uncover the micro-foundations of organizational life while advancing action-based methodologies for systemic change. His recent scholarly output reveals strong thematic continuity across publications spanning ethics, attention dynamics, and evidence mobilization. Articles like 'What is the right thing to do?' and 'Towards a practice-theoretical view of attention' demonstrate his focus on situated ethical sensemaking and cognitive processes in organizational contexts. The recurring healthcare setting in his work highlights practical relevance, while methodological innovations in video-based research and diffraction approaches showcase theoretical advancement. As Director of the IKON Organisation and Work Group, Professor Nicolini leads a research collective dedicated to exploring practice theory applications in organizational transformation. The group actively engages in collaborative projects that translate theoretical insights into practical interventions, particularly for improving complex systems like healthcare organizations through action-research methodologies.

Christian Winklerمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• User Experience
• +۴ مورد دیگر

Christian Winkler is Professor for AI-based UX optimization and general business administration at Nuremberg Institute of Technology since 2022. With over 25 years of experience spanning entrepreneurship, enterprise architecture, and academia, he brings substantial industry expertise to his academic role. His career includes founding multiple technology companies including an internet service provider (WWL Internet AG) that went public in 1999, Querplex GmbH through management buyout in 2003, and datanizing GmbH as an NLP SaaS provider in 2017. Professor Winkler's research focuses on practical applications of artificial intelligence in business contexts, with particular expertise in natural language processing, user experience optimization, and data-driven marketing strategies. His work bridges theoretical AI research with real-world business applications, emphasizing accessibility of complex technologies. He has published extensively on language models (including BERT and LLaMA implementations), text analysis techniques, and social media data analysis for business insights. Recent publications reveal a strong trend toward optimizing large language models for practical deployment, with significant focus on analyzing user-generated content from social platforms like Instagram and WallStreetBets. His work demonstrates how NLP can extract valuable business intelligence from unstructured data sources while making advanced AI techniques accessible to non-technical business professionals. Winkler teaches E-Commerce, International Marketing Tools - Quantitative Methods, Applied User Experience, and Communication Management, reflecting his interdisciplinary approach that combines technical AI knowledge with business administration expertise. He is an active contributor to the data science community through conference presentations at events like m3 Konferenz, MLsummit, and data2day, as well as educational content for Heise Academy on Python and NLP topics.

Malcolm A. MacIverمشاهده پروفایل

استاد

• Sensory Systems
• Animal Behavior
• Neurobiology
• +۵ مورد دیگر

Malcolm A. MacIver is a Professor of Biomedical Engineering and Mechanical Engineering at Northwestern University's McCormick School of Engineering. His research integrates computational modeling, bio-inspired robotics, and neurobiology to study sensory systems and movement in animals. He leads the Center for Robotics and Biosystems and has contributed to groundbreaking work on the evolution of vertebrate sensory systems and climate policy communication. Prof. MacIver holds a Ph.D. in Neuroscience from the University of Illinois at Urbana-Champaign, an M.A. in Philosophy, and a B.S. in Computer Science from the University of Toronto. His work spans interdisciplinary domains, including robotics, climate science communication, and vertebrate brain evolution. His research has been recognized with prestigious awards such as the Presidential Early Career Award for Science and Engineering (2009) and NSF Career Award (2009). He actively contributes to science communication through roles like Science Consultant for the National Academy of Science's Science Entertainment Exchange and as an organizer of international robotics symposiums. In teaching, he instructs graduate courses in computational neuromechanics and undergraduate classes in neuroscience and Python programming for engineering. His lab's innovations include robotic systems modeling animal behavior and climate prediction market experiments influencing public policy support.

Gerhard Friedrichمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge-Based Systems
• Recommender Systems
• +۱۰ مورد دیگر

Gerhard Friedrich is a Full Professor at the University of Klagenfurt, leading the Institute for Artificial Intelligence and Cybersecurity. He previously served as Dean of the Faculty of Technical Sciences (2013–2021). His roles include Coordinator for International Relations of the Faculty of Engineering and Member of the Faculty Conference of Technical Sciences. He holds a PhD in Computer Science from Vienna University of Technology and has extensive industry experience, including heading departments at Siemens Austria and research roles at Siemens Corporate Research and Stanford Research Institute. Research focuses on knowledge-based systems, recommender systems, configuration and planning, and production informatics. His work bridges theoretical AI with practical applications in manufacturing, software development, and business processes. He has authored a book on recommender systems (translated into Japanese and Chinese) and contributed to prestigious journals like Artificial Intelligence and IEEE Transactions . He has organized major conferences such as the German Conference on Artificial Intelligence (2016) and served as editor and program committee member for leading venues. His awards include Fellowships from the European and Asia-Pacific AI Associations (2012, 2023). His advising and grants include leadership in applied AI projects and international collaborations. He directs the Intelligent Systems and Business Informatics research group, emphasizing interdisciplinary innovation.

Mehdi Dastaniمشاهده پروفایل

استاد

• Artificial Intelligence
• Multi-Agent Systems
• Formal Methods in AI
• +۵ مورد دیگر

Prof. Mehdi Dastani is a Professor and chair of the Intelligent Systems group within the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. He leads the Master's program in Artificial Intelligence and focuses on formal and computational models in AI, particularly multi-agent systems. His research integrates insights from philosophy, psychology, and law to develop autonomous agents that reason about social and cognitive concepts like norms, emotions, and responsibility. Dastani has held academic roles at Utrecht University since 2001, including postdoctoral research and faculty positions. Education: M.Sc. Computer Science (University of Amsterdam, 1991), M.Sc. Philosophy (University of Amsterdam, 1992), Ph.D. in Humanities (University of Amsterdam, 1998). His work spans theoretical and applied projects, including grants for initiatives like Golden Agents (simulating Golden Age creative industries) and traffic control systems using virtual organizations. He is actively involved in academic committees, editorial boards, and organizing international conferences like AAMAS and PRIMA. Research Interests: Multi-Agent Programming, Normative Systems, Autonomous Agents, Cognitive Robotics, and Human-Centered AI. His projects address challenges like norm enforcement, decision-making in complex systems, and ethical AI integration with societal needs. Advising & Grants: Supervised numerous PhD students (e.g., Birna van Riemsdijk, Bas Testerink) and secured grants for projects such as 'Controllable AI: Human-Centered Approach'. His work includes collaborations on urban governance, autonomous driving, and AI tools for literacy support in children. Labs & Teams: Leads the Intelligent Systems group, contributing to agent-based simulations, ethical AI frameworks, and interdisciplinary collaborations with social scientists and urban planners.

Pingbo Tangمشاهده پروفایل

دانشیار

• Civil Engineering
• Remote Sensing
• Human Systems Engineering
• +۵ مورد دیگر

Pingbo Tang is an Associate Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University, affiliated with the College of Engineering. He leads the Spatiotemporal Workflows and Resilient Management Laboratory (SWARM Lab). Tang holds a Ph.D. from Carnegie Mellon University (2009), a Master’s in Bridge Engineering from Tongji University (2005), and a Bachelor’s in Civil Engineering from Tongji University (2002). His research focuses on civil infrastructure operations, human systems engineering, and AI-driven solutions for predictive management. Key areas include remote sensing, data analytics, and Human-Cyber-Physical-Systems (H-CPS) in construction and infrastructure (e.g., airports, nuclear plants). He has published over 100 peer-reviewed articles and secured funding from NSF, DOE, NASA, and industry partners. Tang is a leader in professional organizations, including ASCE (Computing Division Chair), TRB (Bridge Management Committee), and ASTM International. He has received prestigious awards, including the NSF CAREER Award (2015), ASCE Halpin Award (2020), and multiple best-paper honors. His work integrates AI, digital twins, and safety innovation, with applications in aviation scheduling (e.g., Alaska Airlines collaborations) and nuclear power plant operations. Tang’s research emphasizes sustainable infrastructure, safety, and interdisciplinary solutions for complex systems.

Anuran Makurمشاهده پروفایل

استادیار

• Machine Learning Theory
• Information Theory
• Applied Probability
• +۴ مورد دیگر

Anuran Makur is an active Assistant Professor at Purdue University with dual appointments in the Department of Computer Science (College of Science) and the Elmore Family School of Electrical and Computer Engineering (College of Engineering). He is affiliated with the Institute for Control, Optimization and Networks (ICON) and teaches foundational courses in machine learning and data science. His educational background includes a B.S. in Electrical Engineering and Computer Sciences from UC Berkeley (2013, summa cum laude), an S.M. in Electrical Engineering and Computer Science from MIT (2015), and a Sc.D. from MIT (2019). B.S., UC Berkeley, 2013 S.M., MIT, 2015 Sc.D., MIT, 2019 Makur's research bridges theoretical machine learning, information theory, and applied probability. Key interests include ranking/preference learning, optimization for ML, non-parametric inference, information measures, permutation channel limits, broadcasting on graphs, and reliable computation. His work emphasizes fundamental theoretical limits and mathematical rigor in complex systems. Recent publications reveal strong trends in statistical learning theory (40%), information-theoretic methods (35%), and networked systems (25%), with growing emphasis on privacy-aware inference and high-dimensional statistics. His scientific achievements are recognized by prestigious awards: Arthur M. Hopkin Award (UC Berkeley, 2013) Ernst A. Guillemin Master's Thesis Award (MIT, 2015) Jin Au Kong Doctoral Thesis Award (MIT, 2020) Thomas M. Cover Dissertation Award (IEEE, 2021) NSF CAREER Award (2023) While specific advising details aren't public, his research leadership is evident through ICON affiliation and collaborations with MIT's LIDS/IDSS groups. The NSF CAREER grant supports his work on information-theoretic foundations of machine learning. He maintains active roles in theoretical computer science and information theory communities through conference organization and editorial work. Makur leads research within ICON, focusing on control-theoretic approaches to networked learning systems. His work integrates probabilistic modeling with optimization theory, particularly for distributed inference and networked decision-making under uncertainty.

Ayushi Rastogiمشاهده پروفایل

استادیار

• Computer Science
• Software Engineering
• Empirical Software Engineering
• +۵ مورد دیگر

Ayushi Rastogi is an Assistant Professor at the University of Groningen, affiliated with the Software Engineering group in the Bernoulli Institute under the Faculty of Science and Engineering. She holds a PhD from IIIT-Delhi and has conducted postdoctoral research at TU Delft and the University of California, Irvine, with additional experience as a visiting researcher at Microsoft Research. Her research focuses on data analytics and AI-driven solutions for software engineering challenges, particularly in open-source ecosystems and developer communities. Key interests include psychological safety in OSS, pull request dynamics, and fairness in software practices. She actively contributes to EDI initiatives through Informatics Europe and the Netherlands' IPN EDI committee. Her work combines empirical software engineering and repository mining to address real-world software challenges. Notable contributions include analyzing fork sustainability in developer communities and exploring code review velocity. She has received the MSR Rich Holt Early Career Achievement Award 2025 and serves as an Associate Editor for IEEE Software. Her GitHub repository 'fsoc' investigates fork impact on developer community sustainability, and she leads projects like OpenDataology for AI dataset compliance. Awards include the 2022 Best Disruptive Paper Award (ISSRE) and supervision of the MSR 2024 Distinguished Doctoral Award-winning thesis by Dr. Gunnar Kudrjavets. She chairs MSR 2025 and frequently presents on topics like gender equality in tech and burnout prevention. Her research spans compiler analysis, memory management, and EDI policy design in ICT sectors.

CHENG Shih-Fenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Data Science
• Decision Making & Optimization
• +۵ مورد دیگر

CHENG Shih-Fen is an Associate Professor of Computer Science at Singapore Management University (SMU) and a Principal Research Scientist at Amazon. He holds a PhD in Industrial and Operations Engineering from the University of Michigan and a BSE in Mechanical Engineering from National Taiwan University. His research focuses on modeling and optimization of complex systems in urban computing, decision-making, and transportation, with notable contributions to taxi fleet management, ride-hailing systems, and sustainable logistics. Research interests include Artificial Intelligence , Decision Optimization , Machine Learning , and Urban Sustainability . Notable achievements include prestigious awards from CIKM, AAMAS, and INFORMS. He has advised students such as Qian Shao and Pang Jin Tan, who received SMU Presidential Doctoral Fellowships. Key contributions include the Driver Guidance System (DGS) for taxis and patented taxi demand prediction models. Publications span top venues like IJCAI, AAAI, and Transportation Science. He is a Senior Editor of Electronic Commerce Research and Applications and actively contributes to professional communities like INFORMS and AAAI.

• Biomechanics
• Plant Morphogenesis
• Computational Modeling
• +۳ مورد دیگر

Dr. Gabriella Mosca is a Junior Group Leader at the Centre for Biochemistry (ZMBP) at the University of Tübingen, leading the Biomechanical Modeling of Morphogenesis (BM²) Lab within the Department of Genetics. Her research focuses on understanding the interplay between biomechanics and morphogenesis in plant systems, particularly using computational tools like MorphoMechanX . This software integrates finite element methods to model 3D tissue growth, cell wall mechanics, and genetic signaling in plant development. Her work bridges computational modeling with experimental data from partner labs, addressing questions such as how mechanical forces influence growth patterns and cell fate decisions. Key areas include explosive seed dispersal mechanics, leaf shape diversity, and ovule primordium development. She collaborates internationally on projects involving plant cell mechanics, tissue stiffness, and developmental constraints. Publications highlight contributions to understanding plant cell geometry, cytokinin signaling in roots, and the role of organ geometry in reproductive cell fate. Current projects emphasize developing customizable computational frameworks to simulate plant growth dynamics from confocal imaging data. The lab actively recruits students with backgrounds in physics, computer science, and mathematics to tackle interdisciplinary challenges in plant morphogenesis.