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Rainer BöhmeView profile

Professor

• Steganography and steganalysis
• Digital forensics
• Privacy-enhancing technologies
• +4 more

Professor Rainer Böhme is a prominent academic in the field of IT security and privacy at the University of Münster's School of Business and Economics, Department of Information Systems. He also holds a professorship for Security and Privacy at the University of Innsbruck's Institute of Computer Science. His research spans multiple dimensions of digital security, with particular expertise in steganography, digital forensics, privacy-enhancing technologies, and the economic aspects of cybersecurity. Dr. Böhme earned his Doctoral Degree from TU Dresden's Faculty of Computer Science in 2008, following studies in Communications, Economics and Computer Science at Technische Universität Dresden and Université Paris XII. His academic journey includes positions as Assistant Professor at the University of Münster (2010-2015), Postdoctoral Fellow at the International Computer Science Institute in Berkeley (2009-2010), and Scientific Staff at TU Dresden's Chair of Privacy and Data Security. His research interests focus on steganography and steganalysis, digital forensics, privacy-enhancing technologies, security and usability, economic and behavioral aspects of information privacy, virtual currencies, and the economics of information security. His work bridges technical security mechanisms with economic and behavioral considerations, creating a unique interdisciplinary approach to cybersecurity challenges. Analysis of his recent publications reveals a strong trend toward the economics of security, particularly regarding blockchain technologies, cryptocurrency, and privacy valuation. His work increasingly examines the intersection of technical security mechanisms with market dynamics, regulatory frameworks, and user behavior. The research spans theoretical game-theoretic models, empirical studies of user behavior, and practical applications in digital forensics and privacy protection. Program Co-Chair, Financial Cryptography and Data Security (2015) Program Co-Chair, New Security Paradigms Workshop (NSPW) (2015) General Chair, 8th International Conference on IT Security Incident Management & IT Forensics (2014) Organizer and Program Co-Chair, 1st Workshop on Bitcoin Research (2014) Associate Editor, Electronic Commerce Research (since 2013) Associate Editor, EURASIP Journal on Information Security (since 2013) Professor Böhme has supervised multiple Master's theses in Information Systems, including work on static code analysis for smart contracts, remote maintenance protocol security, and application protection requirements in retail banking. His research is supported by significant grants from the German Federal Ministry of Research, Technology and Space, the DFG, and the EU FP7 program, with projects focusing on digital forensics, privacy-enhancing technologies, and cryptocurrency crime prevention. He leads the IT Security Research Group at the University of Münster, which investigates theoretical and applied aspects of information security with particular emphasis on the economic dimensions of security decisions.

Ashli Owen-SmithView profile

Researcher

• Mental Health
• Behavioral Science
• Trauma
• +6 more

Ashli Owen-Smith is a behavioral scientist affiliated with the School of Public Health at Georgia State University , where her research focuses on mental health disparities, suicide prevention, and integrative/complementary approaches for complex mental-physical health conditions. She works with underserved populations including refugees/immigrants, incarcerated individuals, and LGBTQ+ communities through community-based participatory research and mixed-methods frameworks. Her current projects are funded by CDC , DBHDD , and DPH . Education: Ph.D. in Behavioral Sciences (Emory, 2009), S.M. in Public Health (Harvard, 2005), B.A. in Psychology (Smith College, 2001) Her research spans mental health , trauma , suicide prevention , and mindfulness-based interventions . Recent work examines telehealth adaptations for chronic pain and mental health, vaccine hesitancy in refugee communities, and social determinants of suicide . She leads studies on gender-affirming care and health disparities in LGBTQ+ populations. Key article trends include epidemiological analysis of suicide risk factors, COVID-19 impacts on mental health, ICD-10 coding for autism, and complementary medicine in trauma recovery. Subfields span telehealth , health equity , mental-physical comorbidity , and community engagement . Students she has mentored include C.A. Scarlett , T. Griner , and M.M. Sesay . Her work integrates public health policy , clinical research , and health systems analysis .

Chee-Wooi TenView profile

Professor

• Power systems engineering
• Power grid cybersecurity
• Cyber-informed security engineering
• +4 more

Chee-Wooi Ten is a tenured Professor in the Department of Electrical and Computer Engineering at Michigan Technological University, where he has served since 2010 and achieved tenure in 2016. He concurrently holds an Affiliated Professor appointment in Applied Computing and directs both the PSERC Site and ICC CPS Center. His institutional roles emphasize cyber-physical security integration within power infrastructure. His educational background includes: PhD in Electrical Engineering from University College Dublin (2009) MSc in Electrical Engineering from Iowa State University (2001) BSc in Electrical Engineering from Iowa State University (1999) Ten's research pioneers cyber-informed security engineering strategies for bulk power systems, focusing on quantifying rare events through system risk models and data science. His work bridges power grid interactions with robotics and transportation systems to advance decarbonization and electrification. Key methodologies include validating cyber-physical security frameworks against steady-state and dynamic grid approaches, with emphasis on attack/defense combinatorics and smart home technologies. This transdisciplinary approach supports the fourth industrial revolution's resilience requirements. His publication trends reveal strong focus on risk-aggregated substation testbeds using generative adversarial networks, cyber insurance models for power systems, and cascading failure analysis from switching attacks. Recent works increasingly integrate machine learning with physics-based modeling to address cybersecurity threats in inverter-based resource integration and distribution emergency operations. Ten has secured over $6.5M in active funding including: $2M DOE grant (MTU portion $105,000) for CyDERMS Center on DERs/Microgrids cybersecurity $704,409 CyManII award for secure digitalization in smart manufacturing $1.05M DOE ARPA-E grant for decarbonized freight transportation modeling NSF CyberCorps Scholarship for Service program ($3.38M) His grants consistently address risk management through data-driven and physics-based modeling, with industry partnerships through PSERC and utility collaborations. As ICC CPS Center Director, he leads research on cyber-physical security testbeds and coordinates the PSERC Summer Transformation School. His team develops validation frameworks for NERC CIP compliance while addressing practical pain points in OT cybersecurity for grid operators.

Andreas GulyasView profile

Assistant Professor

• Macroeconomics
• Labor Economics
• Search Theory
• +1 more

Prof. Andreas Gulyas is an Assistant Professor of Macroeconomics at the Department of Economics, University of Mannheim, and a research affiliate at IZA. He holds a Ph.D. from UCLA and a M.Sc. from the University of Vienna. His research focuses on Macroeconomics, Labor Economics, Search Theory, and Machine Learning applications in economics. Education: Ph.D. in Economics, UCLA, Los Angeles, USA M.Sc. in Economics, University of Vienna, Austria Research Interests: Gulyas examines labor market dynamics, monetary policy impacts, wage transparency, and the consequences of job displacement. His work combines theoretical models with empirical analysis, often employing field experiments and machine learning techniques to explore labor market inefficiencies and policy implications. Notable areas include cross-country comparisons of economic inequality and pandemic-induced unemployment effects. Articles Trends: His recent work emphasizes labor market policies, wage structures, and macroeconomic shocks. Key themes include the role of fringe benefits in job search behavior, monetary policy's heterogeneous effects, and pandemic-related unemployment disparities. Machine learning is increasingly used to analyze heterogeneous outcomes in displacement scenarios. Awards: No scientific awards listed. Advising/Grants: No advising records or grant information provided in available texts. His current research is likely supported through institutional funding and affiliations like IZA. Labs/Teams: Affiliated with the AEE Seminar at Mannheim, contributing to collaborative economics research initiatives.

• Decision Theory
• Experimental Economics
• Behavioral Economics
• +3 more

Pavlo Blavatskyy is a Professor of Economics at Montpellier Business School (France). He has held previous academic positions, including Professor roles at Murdoch University (Australia), University of Innsbruck (Austria), and the University of Zurich (Switzerland). His research focuses on decision theory, experimental economics, and behavioral economics, with notable contributions to understanding loss aversion, ambiguity neutrality, and intertemporal choice. He has received the Ig Nobel Prize in Economics (2021) for his work. Blavatskyy holds a Ph.D. in Economics from CERGE-EI, Charles University (Czech Republic) and an M.Phil. in Economics from the University of Cambridge (UK). His teaching disciplines include Economy, and he has authored influential articles in journals like Experimental Economics and Economics Letters . His research themes emphasize decision-making under risk and uncertainty, with studies exploring the Allais paradox, common-ratio effects, and political corruption dynamics in post-Soviet countries. His work bridges theoretical economics with empirical validation through experimental methods. Awards: Ig Nobel Prize in Economics (2021) Advising/Grants: No specific advising or grant details provided in text. No lab affiliations or team collaborations explicitly mentioned in the provided information.

Patrick BaylisView profile

Assistant Professor

• Environmental Economics
• Climate Change Economics
• Energy Economics
• +4 more

Patrick Baylis is an Assistant Professor of Environmental Economics at the Vancouver School of Economics, University of British Columbia. His research focuses on how people respond to environmental threats such as wildfires, air pollution, and extreme temperatures. He employs large datasets, natural language processing, and spatial information in his work, primarily using R/RStudio and Python for data analysis. Dr. Baylis earned his PhD from the University of California Berkeley in 2016 in Agricultural and Resource Economics. Prior to joining UBC, he was a postdoctoral fellow at the Stanford Center on Food Security and the Environment. He also worked as a research assistant at the Energy Institute at Haas and is a proud alumnus of Carleton College. His research interests span environmental economics with a particular focus on climate change impacts, energy economics, and behavioral responses to environmental threats. His work often examines the intersection of climate, health, and economic behavior, using innovative methods like social media data analysis to measure sentiment responses to temperature changes and other environmental factors. Analysis of his publication record reveals a strong focus on using big data approaches to understand human responses to environmental challenges. His work frequently appears in top journals including Nature Climate Change, PNAS, and the Journal of Public Economics. His research spans multiple subfields including wildfire economics, air quality valuation, climate migration, and the behavioral impacts of temperature extremes. Dr. Baylis has received significant media attention for his work, with coverage in major outlets including The New York Times, The Washington Post, The Guardian, and The Atlantic. His research on temperature and suicide rates, as well as climate perception, has been particularly influential in connecting environmental conditions with human behavior and mental health outcomes. He maintains an active research program examining critical environmental challenges, including wildfire risk, air pollution impacts, climate adaptation strategies, and the economic dimensions of climate change. His work combines rigorous economic analysis with innovative data collection and processing methods to provide new insights into how humans respond to environmental threats.

• Household and Consumer Finance
• Retirement Savings and Decumulation
• Financial Decision Making
• +6 more

Professor Susan Thorp is a Finance academic at the University of Sydney Business School . With a PhD in Economics from UNSW and prior roles at University of Technology Sydney and the Reserve Bank of Australia, she focuses on household finance , retirement planning , and financial market behavior . BEc (Hons) - University of Sydney Dip. Ed. - University of New England PhD - University of New South Wales Her research interests include: Life-cycle financial decision-making Behavioral influences on savings and investments Superannuation policy and market integration Commodity market dynamics Economic impacts of financial literacy Crises-driven market contagion Recent publications analyze retirement decumulation , financial trust , and commodity-equity market correlations . She leads cross-disciplinary teams applying dynamic programming , econometric modeling , and experimental design to financial challenges. Her grants include ARC Linkage Projects and ASIC commissions for improving financial communication and regulatory frameworks . Media outlets frequently cite her expertise on superannuation policy , market volatility , and retirement savings behavior .

• Climate Change Attribution
• Extreme Weather Events
• Agricultural Impacts of Climate Change
• +3 more

Mariam Zachariah serves as a Research Fellow at the Centre for Environmental Policy within the Faculty of Natural Sciences at Imperial College London. She is a core contributor to World Weather Attribution (WWA), an international scientific collaboration conducting rapid climate change attribution analyses for extreme weather events globally. Her work bridges climate science, vulnerability assessment, and policy-relevant research. Her educational foundation includes a PhD from the Indian Institute of Technology Bombay (IITB), where she investigated climate impacts on Indian agriculture. This research focused on drought and extreme temperature effects on crop yields in major agrarian regions, recognizing agriculture's critical role in India's climate-vulnerable economy. Zachariah's research centers on near-real-time attribution of extreme events to quantify human-induced climate change influences. Her expertise spans climate modeling, statistical analysis of extreme weather, and integrating vulnerability frameworks to assess compound impacts on communities. She examines how climate change interacts with socioeconomic factors to exacerbate disasters, particularly in agricultural systems and flood-prone regions worldwide. Analysis of her recent publications reveals a dominant focus on rapid attribution of droughts, floods, and heatwaves across diverse global contexts - from the Horn of Africa to Central Europe and South America. These studies consistently demonstrate climate change as a significant amplifier of event severity, while emphasizing how pre-existing vulnerabilities determine actual impacts. Her work increasingly addresses compound hazards and the intersection of climate change with infrastructure failures and land management. As a key member of the World Weather Attribution initiative, Zachariah collaborates with climate scientists, social scientists, and vulnerability experts in a unique operational framework that delivers scientific assessments within days of extreme events. This work directly informs policymakers, media, and affected communities about climate change's role in contemporary disasters.

Harald TauchmannView profile

Professor

• Health Economics
• Empirical Health Economics
• Health Insurance
• +3 more

Prof. Dr. Harald Tauchmann is a Professor of Health Economics at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where he has held a faculty position since 2013. He is affiliated with the School of Business, Economics and Social Sciences, specifically within the Department of Economics. Prof. Tauchmann also participates in multiple research focus areas at FAU, including 'Insurance and Risk' and 'Work in Transition,' demonstrating his interdisciplinary approach to health economics. Prof. Tauchmann received his education at Heidelberg University and the University of Manchester, UK, where he studied economics, political science, and sociology. He graduated in 1998 and completed his doctorate at the Interdisciplinary Institute for Environmental Economics (University of Heidelberg) in 2003. Prior to joining FAU, he worked as a research associate at the Rhineland-Westphalian Institute for Economic Research (RWI) in Essen from 2003 to 2012 and headed a junior research group at the health economics research center CINCH at the University of Duisburg-Essen. His research expertise lies in empirical health economics, with a particular emphasis on health insurance choice and competition, as well as individual health behavior. He has made significant contributions to understanding obesity, health shocks, mental health care payment systems, and thyroid diagnostics through his extensive publication record. His methodological work includes developing specialized Stata modules for econometric analysis, which have been widely adopted by researchers in the field. Prof. Tauchmann's scholarly work demonstrates a consistent focus on applying rigorous econometric methods to pressing health policy questions. His research portfolio shows particular strength in causal analysis of health behavior, especially regarding obesity interventions, health insurance market dynamics, and the economic consequences of health shocks. His recent publications (including several forthcoming in 2025) indicate continued scholarly productivity and relevance to current health policy debates. From March 2021 to April 2022, Prof. Tauchmann served as chairman of the German Society for Health Economics, highlighting his leadership and recognition within the national health economics community. His email contact is harald.tauchmann@fau.de for professional inquiries.

Alfred ChongView profile

Associate Professor

• Actuarial Science
• Financial Mathematics
• Quantitative Risk Management
• +5 more

Dr. Alfred Chong is an Associate Professor in the Department of Actuarial Mathematics and Statistics at Heriot-Watt University (HWU). Previously, he served as an Assistant Professor at the University of Illinois at Urbana-Champaign (UIUC) and co-founded the Illinois Risk Lab. His research focuses on Actuarial Science, Financial Mathematics, and Quantitative Risk Management, addressing emerging risks like cyber, pandemic, and climate risks, leveraging machine learning, optimization, and stochastic control. He holds a PhD from The University of Hong Kong and King's College London, and is an Associate of the Society of Actuaries. Chong actively contributes to academic governance, including roles in the EPSRC Mathematical Sciences Early Career Forum and the Maxwell Institute's Data and Decisions research theme. Education: PhD in Actuarial Science, University of Hong Kong & King's College London Research Interests: Chong explores risk sharing mechanisms, forward preferences in insurance, and mitigation strategies for large-scale risks. His work integrates data analytics and machine learning to solve decision-making challenges, such as cybersecurity risk assessment, pandemic resource allocation, and climate risk modeling. Recent projects include incident-specific cyber insurance design and delegated investment strategies for retirement savings. Awards: Michael V. Colla Prize for Mathematics Related to Medicine (2022) Best of 2020 in the Annual Meeting of the Casualty Actuarial Society (2021) Advising & Grants: Chong supervises PhD students in holistic risk management, forward preferences, and reinforcement learning applications. He has secured grants supporting interdisciplinary research in risk modeling and insurance innovation. Labs & Teams: Co-founder of the Illinois Risk Lab (UIUC), now leading research at HWU's Actuarial Mathematics & Statistics department. Engaged with the International Centre for Mathematical Sciences for knowledge exchange initiatives.

Özlem GürsesView profile

Professor

• Insurance Law
• Reinsurance Law
• Marine Insurance Law
• +7 more

Özlem Gürses is Professor of Commercial Law at The Dickson Poon School of Law, King's College London. She previously taught at Norwich and Southampton Law Schools and holds law degrees from the University of Istanbul, an LLM in Maritime Law (with distinction) from the University of Southampton, and a PhD in Law from the same institution. She is a leading scholar in insurance and reinsurance law, with a focus on marine, compulsory, and emerging risk insurance. Her research interests include: Insurance and reinsurance law Marine and non-marine insurance Compulsory motor vehicle insurance Insurance of offshore installations and commercial risks Artificial intelligence in insurance contracts Her recent publications analyze business interruption insurance during the pandemic, public-private partnerships in reinsurance, subrogation immunity, and the legal treatment of emerging risks. She is the sole author of key texts such as The Law of Compulsory Motor Vehicle Insurance (2019), Marine Insurance Law (3rd ed, 2023), and Reinsuring Clauses (2nd ed, 2025), and has edited major reference works including the Edward Elgar Research Handbook on Marine Insurance Law (2024). She is actively involved in the legal academic community: Member of the Presidential Council, International Insurance Law Association (AIDA) Chair, Reinsurance Working Party of AIDA Vice-Chair, British Insurance Law Association Committee Professor Gürses teaches insurance law at both undergraduate and postgraduate levels and currently supervises four PhD students. She also lectures internationally in Germany, Singapore, China, Greece, and Italy. She has organized academic conferences and participates in research on the intersection of law, technology, and sustainability.

• Economics
• Crime
• Education
• +4 more

Steven D. Levitt is a Professor at the University of Chicago 's Booth School of Business and director of the Becker Center on Chicago Price Theory . His work spans economics, criminology, education, and behavioral science, with a focus on empirical analysis of real-world issues. Education: BA from Harvard (1989), PhD from MIT (1994) Key Research Areas: Crime economics, educational incentives, behavioral economics, and market dynamics Scientific Awards: 2004 John Bates Clark Medal, Time Magazine's 100 Most Influential People (2006) Levitt's article portfolio includes groundbreaking studies on topics like early childhood education (CogX program), abortion's impact on crime , cheating detection algorithms , and behavioral economics in education . His work often challenges conventional wisdom through unconventional data analysis. Prior research collaborations with Roland Fryer , John List , and Chad Syverson have produced influential papers on racial disparities , real estate markets , and juvenile crime . His NBER working papers demonstrate consistent methodological rigor and innovation.

Natalia NoldeView profile

Professor

• Statistics
• Probability
• Multivariate Extreme Value Theory
• +5 more

Natalia Nolde is a Professor in the Department of Statistics at the University of British Columbia, Faculty of Science. Her research focuses on multivariate extreme value theory , probabilistic modeling , and applications in quantitative risk management across finance, insurance, hydrology, and geosciences. Her work explores non-classical approaches to multivariate extremes, particularly through limit set geometry and asymptotic dependence structures , offering novel insights into tail dependence and risk assessment. Recent publications highlight her expertise in copula-based risk modeling , financial stress testing , and geohazard prediction . Current students include: Daniel Hadley Jonathan O.K. Agyeman

Joaquim PintoView profile

Professor

• Mid-latitude meteorology
• Climatology
• Extreme weather events
• +7 more

Professor Joaquim Pinto is a leading climate scientist at the Karlsruhe Institute of Technology (KIT), where he serves as Head of the Working Group "Regional Climate and Weather Hazards" and as Spokesperson of the collegial institute management team. He holds the prestigious AXA Research Fund Chair position at the Institute of Meteorology and Climate Research - Troposphere Research (IMK-TRO). His academic background includes a Licenciate in Geophysical Sciences - Meteorology from the University of Lisbon (1990-1996), PhD studies at the University of Cologne (1998-2002), and academic positions at the University of Cologne (2002-2016) and University of Reading (2013-2016) before joining KIT in 2016. He became a Privatdozent (lecturer) at the University of Cologne in 2011 and earned his habilitation with research on extreme European wind storms. Professor Pinto's research focuses on mid-latitude meteorology and climatology, with special emphasis on extreme weather events , climate variability in Europe across multiple time scales, regional climate modeling and downscaling methods , and the diagnostic modeling and quantification of risks associated with extreme events affecting Europe. His work bridges fundamental climate science with practical applications for risk assessment and management. His extensive publication record demonstrates expertise in analyzing European windstorms, heatwaves, and compound extreme events. Recent work examines the impacts of climate change on wind energy potential, extreme precipitation events, and the complex interactions between atmospheric circulation patterns and regional climate extremes. His research often employs high-resolution climate modeling, statistical-dynamical downscaling approaches, and interdisciplinary collaborations to address pressing climate challenges. AXA Research Fund Chair in Regional Climate and Weather Hazards Professor Pinto teaches graduate and undergraduate courses including "Climate Modelling and Dynamics with ICON," "IPCC Assessment Report," "Climatology," "Energy Meteorology," "Methods of Data Analysis," and "Regional Climate and Weather Hazards." His teaching reflects his research expertise in climate modeling, extreme events, and regional climate change impacts.

John BovayView profile

Associate Professor

• Agricultural Economics
• Food Policy
• Environmental Economics
• +4 more

John Bovay is an Associate Professor and Kohl Junior Faculty Fellow in the Department of Agricultural and Applied Economics at Virginia Tech. He leads the department's Extension program and focuses on food and agricultural policy, particularly environmental and health impacts. His roles include membership in the Chesapeake Bay Executive Council's Scientific and Technical Advisory Committee (2024–2026) and Chair of the AAEA Specialty Crop Economics Section (2024–2025). Education: Ph.D. in Agricultural and Resource Economics from UC Davis (2014), B.A. in Mathematics and Politics from Washington and Lee University (2007). His research integrates economic analysis of public policies, including food safety inspections, climate-smart agriculture, SNAP participation, and food waste. Notable projects include a USDA-NIFA grant (2022–25) on vegetable on-farm loss and a study on GMO labeling laws. Teaching includes a Ph.D. course on empirical market and policy analysis with Anubhab Gupta. Selected Awards: Southern Agricultural Economics Association Emerging Scholar (2021), Distinguished Young Alumnus (2017). Outreach efforts emphasize Extension programs like the 'Virginia Sustainable Farms and Agribusiness Education Initiative' and leadership in Virginia Cooperative Extension's Agribusiness Management & Economics team. Grants include the USDA's Climate-Smart Agriculture Alliance and I2GROW initiatives.