جست‌وجوی استاد و پژوهشگر

Bjarte Hannisdalمشاهده پروفایل

دانشیار

• Quantitative Paleobiology
• Geobiology
• Earth System Evolution
• +۷ مورد دیگر

Bjarte Hannisdal is an Associate Professor in the Department of Geosciences at the University of Bergen, Norway, and affiliated with the Bjerknes Centre for Climate Research. He plays a key leadership role in iEarth, a national Centre of Excellence in geoscience education, serving as the iEarth Education Chair and Head of Focus Area 1, which aims to develop innovative frameworks for higher education in geosciences. Department of Geosciences, University of Bergen Bjerknes Centre for Climate Research iEarth – Centre of Excellence in Geoscience Education His research lies at the intersection of geobiology, paleontology, and Earth system science, with a strong focus on quantitative methods. He investigates Earth system evolution, causality in dynamical systems, and the co-evolution of life and the planet using advanced statistical and information-theoretic approaches applied to geological and fossil records. His work spans microbial ecology in deep-sea sediments, paleoclimatology through isotope analysis, and the detection of causal interactions in deep time. Hannisdal has made significant contributions through a high-impact publication record, with articles in top journals such as Science , Nature Geoscience , PNAS , and Physical Review E . His recent publications highlight trends in applying machine learning and information theory to geoscience problems, including microbial responses to oxygen, causality detection in incomplete records, and the calibration of geochemical proxies. These works reflect a strong interdisciplinary trend, integrating biology, physics, and computational methods into Earth sciences. He is actively involved in higher education, having developed and taught courses such as GEOV114 (Introduction to Geobiology) and GEOV302 (Data Analysis in Geosciences), and contributes to others like GEOV344 and BIO318. His educational research explores student-centered learning and computational skill development. He has supervised doctoral research, including Dario Blumenschein’s project on educational change. His work is supported by funding from the Research Council of Norway, Trond Mohn Foundation, and EU Horizon 2020. Hannisdal collaborates widely across institutions and disciplines, as evidenced by his co-authorship with researchers from Norway, the US, Germany, and others.

Ross Horneمشاهده پروفایل

مدرس ارشد

• Security protocols
• Privacy-preserving technologies
• Concurrency theory
• +۷ مورد دیگر

Ross Horne is a Senior Lecturer in the Department of Computer & Information Sciences at the University of Strathclyde, Glasgow, United Kingdom. He is a member of the StrathCyber and Mathematically Structured Programming research groups. Education: PhD (University of Southampton, 2012), BA (Oxford University, 2005) Prior Appointments: Research Fellow at University of Luxembourg (2018-2023), Senior Research Fellow at Nanyang Technological University (2015-2018), Associate Professor at Kazakh-British Technical University (2012-2015) Research Interests: Dr. Horne's work focuses on security and privacy protocols for digital systems, particularly addressing threats in payment technologies, ePassports, and decentralized identity management (e.g., Solid protocol). His theoretical contributions bridge concurrency theory, proof theory, and logic through applications to security verification and process calculi. Developed formal models for unlinkability in EMV payment protocols Created intuitionistic logical frameworks for process equivalence Explored graphical proof systems beyond formulaic representations Investigated legal-compliant AI for space systems (CubeSat anomaly detection) Scientific Contributions: He has published extensively in top venues including ACM CCS, IEEE CSF, LICS, and CONCUR. His 2017 CONCUR best paper introduced intuitionistic characterizations of bisimilarity. Principal Investigator for EU COST Action on Distributed Knowledge Graphs Co-developed privacy models adopted in Luxembourg parliamentary responses Advising: Currently accepting PhD students with strong mathematical and computer science skills for research in security/privacy of emerging systems. Former student Semen Yurkov completed a thesis on privacy-preserving smart card payments. Interdisciplinary Work: Collaborates with space lawyers through the Interdisciplinary Master Program in Space Resources. Projects include AI for CubeSat reliability and legal-compliant software certification frameworks.

• Labor Market
• Digitalization
• Regional Science
• +۳ مورد دیگر

Dr. Ulrich Zierahn-Weilage is an Associate Professor at the Utrecht School of Economics , Utrecht University , and a Research Associate at the ZEW – Leibniz Centre for European Economic Research in Mannheim, Germany. He is affiliated with the CESifo Research Network and Global Labor Organization (GLO) . His work addresses the intersection of digitalization , globalization , and labor market dynamics, with a focus on regional economic disparities and skill-based wage effects . Primary Affiliation : Utrecht University School of Economics Secondary Affiliation : ZEW – Leibniz Centre for European Economic Research Research Networks : CESifo, GLO Research Interests : Consequences of digitalization and globalization for labor market careers Regional economic disparities and agglomeration effects Methodological Expertise : Applied econometrics Causal inference Machine learning Quantitative data analysis Publication Trends : Recent work examines technological change (2016-2025), emphasizing automation risks , minimum wage spillovers , and skill adaptation to digitalization. Key themes include labor market institutions , task reconfiguration , and policy implications for open societies. Supervision and Funding : Supervised PhD candidates Cäcilia Lipowski (graduated 2024) and Sarah McNamara (in progress) Research funded by H2020 project GI-NI and Horizon project SkiLMeeT , focusing on technology-driven skill transformation and digital-green economic transitions

• AI Security
• AI Safety & Alignment
• Cooperative AI
• +۶ مورد دیگر

Sahar Abdelnabi is an AI Security Researcher at Microsoft and will join the ELLIS Institute Tübingen as a Faculty/Principal Investigator. She is co-affiliated with the Max-Planck Institute for Intelligent Systems and Tübingen AI Center , leading the COMPASS Research Group focused on safe, aligned, and steerable AI agents with emphasis on security, human-AI interaction, and cooperative systems. Her research spans three pillars: (1) Probing AI failures through biases, emergent risks, and misuse scenarios; (2) Developing defenses like white-box control methods and reasoning enhancements; and (3) Leveraging AI for societal good through scientific discovery. Key contributions include coining indirect prompt injection vulnerabilities (2023), pioneering generative AI watermarking (2020), and receiving the ACL2025 Best Paper Award for work on LLM sampling heuristics. PhD in Computer Science (2019-2024) from CISPA Helmholtz Center , advised by Prof. Dr. Mario Fritz MSc in Computer Science from Saarland University Research Highlights Her work bridges AI security and safety with sociopolitical implications, focusing on prompt injection , cooperative multi-agent systems , and contextual integrity . She has been recognized by policymakers and industry leaders, including NIST , OWASP , and Microsoft's AI Bug Bounty Program . Scientific Awards Best Paper Award at ACL2025 Best Paper Award at AISec'23 Workshop Spotlight Paper at NeurIPS Datasets and Benchmarks 2024 Academic Leadership She actively contributes to the AI and security communities through: Program Committee: IEEE S&P (2026) , SaTML (2024-2026), USENIX Security (2025) Organized IEEE SaTML'25 LLMail-Inject Challenge Reviewed for top conferences: ICLR , NeurIPS , CVPR

Martin Raubalمشاهده پروفایل

استاد

• Spatial Decision-Making
• Mobile Geographic Information Systems (GIS)
• Location-Based Services (LBS)
• +۷ مورد دیگر

Prof. Dr. Martin Raubal is a Full Professor at the Institute for Cartography and Geoinformation, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich. He leads research on spatial decision-making, mobile GIS, and location-based services, with applications in transportation, energy, and aviation. His work integrates cognitive engineering and eye-tracking to analyze human mobility and interaction with geospatial systems. Doctorate in Geoinformation (with distinction), Vienna University of Technology (2001) MS in Spatial Information Science and Engineering, University of Maine (1997) Dipl.-Ing. in Surveying Engineering and Geoinformation, Vienna University of Technology (1998) His research focuses on spatiotemporal human mobility, cognitive models for GIS, and sustainable urban systems. Key projects include the Digital Underground initiative at the Singapore-ETH Centre and the Empirical Use and Impact Analysis of Mobility-as-a-Service (EIM). Awards include the UV-Helava Prize and multiple best paper recognitions. Recent publications emphasize 3D spatial analysis, AI-driven geospatial tools, and causal inference in mobility modeling. Collaborations span institutions like Lufthansa Systems, SBB, and ETH-IVT. His lab investigates applications such as electric vehicle charging networks, bikeability indexes, and augmented reality in transportation planning.

Branka Krivokapic-Skokoمشاهده پروفایل

استاد

• Ethnic Entrepreneurship
• Agricultural Cooperatives
• Cross-cultural Management
• +۷ مورد دیگر

Professor Branka Krivokapic-Skoko is a faculty member at Charles Sturt University's School of Business . She holds a PhD in Management from Lincoln University (New Zealand), an MSc(Econ) from Belgrade, and a BSc (Hons). Her research focuses on ethnic entrepreneurship , agricultural cooperatives , rural development , and gender equity in male-dominated industries . She has published extensively on mixed methods research, psychological contracts, and refugee integration. Recent research trends include intersectionality in rural sociology, data governance in agriculture, and refugee entrepreneurship. Her work spans 2025–2008, with methodological innovation as a recurring theme. Farm Mechanisation & Conservation Agriculture for Sustainable Intensification (ACIAR, $544,574) (2013-2017) Humanitarian immigrant entrepreneurs (ARC, $200,124) (2015-2017) New Immigrants in Australian Agriculture (RIRDC, $468,000) (2012-2015) Indigenous Cooperative Success (ARC, $254,682) (2010) She teaches Microeconomics , International Business , and Contemporary Management , with a focus on cross-cultural issues and agricultural economics.

Drazen Prelecمشاهده پروفایل

استاد

• Behavioral Economics
• Neuroeconomics
• Decision-Making Psychology
• +۵ مورد دیگر

Drazen Prelec is a Professor of Management Science and Economics at the MIT Sloan School of Management , with appointments in the Department of Economics and Department of Brain and Cognitive Sciences . His work bridges psychology, neuroscience, and economics to study decision-making mechanisms. Education: AB in Applied Mathematics (Harvard College), PhD in Experimental Psychology (Harvard University) Prelec's research focuses on behavioral economics and neuroeconomics , particularly in areas like risky choice, time discounting, self-control, and consumer behavior. He develops normative decision theory while investigating its empirical limitations using behavioral and fMRI methods. Two major projects include: Self-Signaling : Examines non-causal motivation where individuals favor actions diagnostic of favorable outcomes over causal ones Bayesian Truth Serum : Creates scoring systems to reward honest judgments in domains without objective truth criteria His recent publications span topics in crowd wisdom , temporal discounting , and neuroeconomic modeling , with applications to consumer neuroscience, political forecasting, and behavioral ethics. Guggenheim Fellowship Junior Fellow, Harvard Society of Fellows Prelec contributes to understanding how credit card usage activates brain reward centers to increase spending, and explores honesty biases in social interactions. His work integrates computational models with empirical neuroscience to address foundational questions in decision theory.

Olga Morozovaمشاهده پروفایل

استادیار

• Infectious Disease Epidemiology
• HIV Transmission Dynamics
• Substance Use Disorders
• +۴ مورد دیگر

Olga (Olya) Morozova is an Assistant Professor of Public Health Sciences at the University of Chicago's Biological Sciences Division. She is an infectious disease epidemiologist and public health modeler with expertise in HIV transmission dynamics and substance use disorders. Education: Ph.D. in Epidemiology from Yale University (2018) M.S. in Mathematical Modeling in Social Sciences from Kyiv National University, Ukraine B.S. in Applied Mathematics from Kyiv National University, Ukraine Morozova's research focuses on the interaction between HIV and substance use disorders, infectious disease transmission dynamics, and public health modeling. Her methodological interests include causal inference under interference with a focus on contagion and network peer effects. She has conducted significant research in Ukraine, including studies on opioid agonist treatment integration into primary care, HIV prevention strategies among people who inject drugs, and the impact of the Russia-Ukraine war on healthcare delivery. During the pandemic, she developed novel methods to incorporate behavior change metrics into traditional infection transmission modeling, with results used to support decision-makers at Connecticut's governor's office. Her publication portfolio shows a strong focus on HIV epidemiology in Eastern Europe, substance use disorders, and the intersection of these fields with infectious disease transmission. Recent work increasingly addresses the impact of the Ukraine conflict on public health systems and the long-term effects of COVID-19, particularly among essential workers and vulnerable populations. Morozova has collaborated extensively with researchers from Ukraine and other international institutions, particularly on studies related to opioid use disorder treatment and HIV prevention in Eastern Europe. Her work often combines mathematical modeling with empirical data collection to evaluate public health interventions and inform policy decisions.

• Neuroscience
• Cognitive Science
• Computational Neuroscience
• +۵ مورد دیگر

Jonathan D. Cohen is a Robert Bendheim and Lynn Bendheim Thoman Professor in Neuroscience and Professor of Psychology and Neuroscience at Princeton University. He leads the Natural and Artificial Minds Initiative as Associate Director, bridging computational neuroscience, cognitive science, and machine learning. His research explores the interplay between cognition, neural dynamics, and AI systems. Research interests include Computational models of cognitive control and decision-making Cerebellar-cortical interactions in neurodevelopment and aging Neural-symbolic integration in AI architectures Quantum computing applications for cognitive modeling Medical applications of machine learning Recent publications demonstrate expertise in artificial neural networks, autism neurobiology, semantic cognition, and interdisciplinary approaches to modeling human and machine intelligence. His work spans theoretical neuroscience, AI interpretability, and translational medicine applications. Scientific contributions include Advancing hybrid mamba-transformer architectures for efficient reasoning Elucidating cerebellar roles in cognitive aging and disease Innovations in quantum models of cognition Developing frameworks for causal analysis in neural networks Exploring neurochemical diversity in psychedelic-producing fungi

Shaul Druckmannمشاهده پروفایل

دانشیار

• Neuroscience
• Computational Biology
• Neural Circuits
• +۷ مورد دیگر

Shaul Druckmann is an Associate Professor at Stanford University in the departments of Neurobiology, Psychiatry and Behavioral Sciences, and by courtesy in Electrical Engineering. He is affiliated with Stanford Bio-X and the Wu Tsai Neurosciences Institute. Key Research Areas: Neural circuit dynamics, computational neuroscience, sensory-motor integration, and brain-wide information representation. Academic Roles: Advisor, mentor, and instructor for graduate and doctoral programs at Stanford. His work combines theoretical modeling, in vivo imaging , and genetic dissection to uncover how neural circuits process information and generate behavior. Recent trends in his research emphasize cross-species comparative analysis (Drosophila, rodents, C. elegans) and interdisciplinary applications in neuroprosthetics. 2023-2024 Awards: Award for Excellence in Graduate Teaching, Stanford University McKnight Scholar, McKnight Foundation Sloan Research Fellow, Sloan Foundation Advising & Teaching: Dr. Druckmann mentors doctoral students across Neurobiology, Psychiatry, and Applied Physics. He teaches foundational courses like Introduction to Mathematical Tools in Neuroscience and Neuroscience Computational Core , while supervising independent studies in bioengineering and physics. Laboratory: The Druckmann Lab at Stanford employs advanced imaging , computational modeling , and connectome analysis to bridge theoretical neuroscience with applications in medical devices and cognitive frameworks.

Lisa Hultmanمشاهده پروفایل

استاد

• Peace and Conflict Research
• International Relations
• Civil War Studies
• +۵ مورد دیگر

Lisa Hultman serves as a Professor at Uppsala University's Department of Peace and Conflict Research, where she leads groundbreaking research on peacekeeping operations, civilian protection, and conflict dynamics. Her work bridges academic rigor with practical policy implications for international peace and security institutions. Professor Hultman's research focuses on the empirical analysis of UN peacekeeping effectiveness, particularly examining how different mandate configurations impact violence against civilians and local conflict trajectories. Her work demonstrates sophisticated methodological approaches, frequently utilizing geocoded data and large-N quantitative analyses to assess peacekeeping outcomes at subnational levels. Key contributions include developing innovative datasets like the Geocoded Peacekeeping Operations (Geo-PKO) and examining the economic dimensions of peacekeeping deployments on local development. Her publication record reveals consistent engagement with critical questions in peace and conflict studies, with recent work exploring mandate complexity in UN operations, the relationship between peacekeeping and civilian protection norms, and forecasting models for political violence. Her research often involves extensive collaboration with leading scholars in the field, resulting in publications in top political science journals including the American Political Science Review , American Journal of Political Science , and Journal of Peace Research . Professor Hultman's influential 2019 book "Peacekeeping in the Midst of War" (co-authored with Jacob Kathman and Megan Shannon) synthesized years of research on peacekeeping effectiveness. Her work has been widely cited and referenced in both academic literature and policy discussions, demonstrating significant real-world impact on understanding how international interventions can effectively protect civilians and reduce violence in conflict zones.

Danesh Taftiمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Fluid Mechanics
• Heat Transfer
• +۷ مورد دیگر

Danesh Tafti is the William S. Cross Professor and Associate Department Head for Graduate Studies in the Department of Mechanical Engineering at Virginia Tech. He holds a PhD from Pennsylvania State University (1989) and has held roles at institutions including the University of Illinois at Urbana-Champaign and West Virginia Institute of Technology. His research focuses on computational fluid dynamics (CFD) and heat transfer, with applications in gas turbines, biomedical systems, and renewable energy. Key research areas include turbulence modeling, fluid-structure interaction, and biofluid mechanics, leveraging high-performance computing. His work spans aerodynamics of flapping flight, cardiovascular flows, and particle-laden flows. Tafti leads the High Performance Computational Fluid-Thermal Science and Engineering Lab, developing tools like GenIDLEST software for complex fluid-thermal systems analysis. Education: PhD (Penn State, 1989), MS (Texas Tech, 1983), BE (Bombay University, 1980) Awards: ASME Fellow (2014), Virginia Tech Dean’s Research Award (2012) Labs: High Performance Computational Fluid-Thermal Science and Engineering Lab Publications emphasize CFD advancements, machine learning integration, and multiphase flow modeling. Tafti’s work bridges computational methods with real-world applications in energy systems, aerospace, and biomedicine.

Niyousha Hosseinichimehمشاهده پروفایل

دانشیار

• Health Systems Engineering
• Public Health Policy
• System Dynamics Modeling
• +۴ مورد دیگر

Niyousha Hosseinichimeh is an Associate Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech's College of Engineering. Her research focuses on improving health and healthcare systems through system dynamics modeling and simulation. She holds a Ph.D. in Public Policy from SUNY Albany (2012) and a B.S. in Mechanical Engineering from Sharif University of Technology (2001). Her work addresses complex issues like adolescent drinking/driving behaviors, major depressive disorder, and infant mortality. Methodologically, she advances calibration techniques for dynamic models and group model-building approaches. Her research has been funded by NIH, NSF, and the Ohio Department of Health. Notable contributions include modeling the hypothalamus-pituitary-adrenal axis and developing tools for rapid parameter estimation in system dynamics. She advises students such as Alba Rojas-Cordova (winner of multiple awards) and Arash Baghaei Lakeh. Her grants include projects on depression dynamics and emergency department utilization. Her work intersects systems engineering, public health, and computational methods, emphasizing practical policy and clinical applications.

Alain Hecqمشاهده پروفایل

استاد

• Econometrics
• Time Series Analysis
• Financial Economics
• +۵ مورد دیگر

Alain Hecq is a Full Professor in the department of QE Econometrics at the School of Business and Economics, Maastricht University. His research focuses on econometric methodologies, particularly in time series analysis, noncausal models, and financial econometrics. He has contributed significantly to the understanding of volatility dynamics, cryptocurrency markets, and inflation targeting regimes. His work often addresses policy-relevant questions in macroeconomics and financial markets. Key research interests include mixed causal-noncausal autoregressive models, volatility modeling with MARMA-GARCH frameworks, and the application of these techniques to real-world phenomena such as oil price bubbles and cryptocurrency volatility. He has also explored the credibility of central banking policies during crises, such as the Brazilian inflation-targeting regime during the pandemic. His recent work emphasizes methodological advancements in high-dimensional time series analysis, including spectral estimation, hierarchical regularizers for mixed-frequency data, and reduced-rank matrix autoregressive models. These contributions reflect a blend of theoretical rigor and practical applicability in addressing complex economic and financial problems. While no formal awards are listed, his extensive publication record and focus on cutting-edge econometric techniques underscore his scholarly impact. Advising and grant activities are not detailed in the provided information, but his research demonstrates sustained engagement with both academic and policy-oriented audiences.

William Tovمشاهده پروفایل

دانشیار

• Well-Being
• Personality Psychology
• Cultural Psychology
• +۳ مورد دیگر

William Tov is an Associate Professor of Psychology at Singapore Management University's School of Social Sciences and serves as Deputy Director of the Centre for Research on Successful Ageing (ROSA). His research program examines multilevel well-being processes, investigating cultural influences on societal-level well-being while analyzing micro-level fluctuations in emotion and satisfaction influenced by personality traits, social interactions, and life circumstances. Education includes: PhD in Psychology, University of Illinois, Urbana-Champaign (2008) MA in Psychology, University of Illinois, Urbana-Champaign (2006) BA, University of California, Berkeley (2002) Research centers on cross-cultural well-being patterns, personality expression in digital environments, and policy applications of well-being metrics. His work integrates macro-level societal analysis with micro-level examination of emotional dynamics. Primary interests include well-being measurement, cultural psychology, successful aging, and the psychological impact of social media. Recent publications (2022-2024) demonstrate strong focus on aging populations, pandemic impacts, and social determinants of well-being, employing longitudinal designs, cross-cultural comparisons, and quasi-experimental approaches. Key themes include mental health interventions, technology adoption among elderly, urban design equity, and cross-national relationship satisfaction. Awards include: Lee Kong Chian Fellowship for research excellence Advises graduate students Jonathan Louis Chia, Jie Sheng Clement, and Lau Yong Hao. Leads the Singapore Life Panel - a high-frequency longitudinal survey tracking well-being metrics for older Singaporeans.