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Lily HsuehView profile

Associate Professor

• Environmental Policy and Management
• Natural Resource and Environmental Economics
• Political Economy
• +12 more

Lily Hsueh is an Associate Professor of Economics and Public Policy (with tenure) at the School of Public Affairs, Arizona State University (ASU), and a Visiting Scholar at the Woods Institute for the Environment, Stanford University. She is affiliated with multiple research centers, including the Julie Ann Wrigley Global Futures Laboratory, the Center for Environmental Economics and Sustainability Policy, the Center for Organization Research and Design, and the Political Economy Working Group at ASU. She earned her Ph.D. in Public Policy and Management from the University of Washington, an M.S. in Economics from University College London, and a B.A. in Economics from the University of California, Berkeley. Prior to her academic career, she worked as a Senior Analyst at the Federal Reserve Bank of San Francisco. Dr. Hsueh’s research focuses on the intersection of economics, politics, and governance in environmental policy. She investigates how alternative governance systems—such as voluntary programs and market-based mechanisms—affect policy outcomes in areas like climate change, toxic chemicals, and marine resources. Her work emphasizes the role of firms, institutions, and governments in shaping environmental governance and social equity. Her recent publications explore trends in corporate climate disclosure, sustainable public procurement, participatory budgeting, and the health impacts of environmental disasters. These studies employ rigorous econometric methods and contribute to both academic and policy debates on sustainability and governance. Recipient of the 2020–21 AAUW American Fellowship Two-time winner of the Distinguished Teaching Award at ASU (2016–17, 2021–22) Recipient of the 2023 Professor of Impact award (student-initiated) Elected to the APPAM Policy Council (2024–2028) Editorial board member of PLOS Climate Dr. Hsueh has secured research funding from NOAA, the V. Kann Rasmussen Foundation, and ASU. She actively mentors students and junior scholars and is currently completing a book with MIT Press titled Corporations at Climate Crossroads . She also leads curriculum development in economics and public policy at ASU and teaches across undergraduate, master’s, and Ph.D. levels. She is involved in several research teams and initiatives, including the Political Economy Working Group and the Sustainable Procurement Research Group at ASU, and collaborates with interdisciplinary teams at Stanford on climate governance research.

Tan Kim LimView profile

Senior Lecturer

• Organizational Psychology
• Consumer Behavior
• Future of Work
• +3 more

Dr. Tan Kim Lim is a Senior Lecturer at the James Cook University (Singapore Campus), specializing in organizational psychology and consumer behavior. He holds a PhD from Curtin University (2016–2019), an MBA from the University of Melbourne (2004–2006), and a Bachelor of Business from Monash University (1999–2002). His research focuses on the future of work, employee attitudes, technology adoption in hospitality/tourism, and consumer behavior analysis. He employs advanced methodologies like PLS-SEM and has published over 47 articles in top journals like the European Business Review and Asia Pacific Journal of Marketing and Logistics . Dr. Lim has held roles including Assistant Professor at BNU-HKBU United International College (2020–2022) and Post-doctoral researcher at the Human Capital Leadership Institute (2019–2021). He currently serves on editorial boards of the Journal of Responsible Tourism Management and Journal of Global Responsibilities , and is a member of the Singapore Human Resource Institute and Society of Industrial-Organizational Psychology. His applied research spans commissioned projects for governments and private entities, including studies on waste classification behavior, country music festivals, and AI adoption in social services. Awards include the JCUS Early Career Researcher Award (2023) and Emerald Literati Reviewer Award (2022). Dr. Lim also actively speaks at regional conferences on topics like AI in networking and post-pandemic workplace trends. His current research interests include STARA (Smart Technologies, AI, Robotics, Algorithms) impacts on work, meaningful work dynamics, and tourism behavior analysis. He supervises PhD students exploring AI in social services, indigenous tourism, and workplace technology adoption.

Brian CalderView profile

Research Professor

• Seafloor Characterization
• Seabed Mapping
• Bathymetric Data Processing
• +12 more

Brian Calder is a Research Professor at the Center for Coastal and Ocean Mapping, University of New Hampshire, with a strong affiliation in Ocean Engineering and Earth Sciences. He holds a Ph.D. and M.S. in Image Analysis and Electronics Communications Engineering from Heriot-Watt University. His academic work is centered on advanced methods in seafloor characterization and hydrographic data processing. Ph.D., Image Analysis, Heriot-Watt University M.S., Electronics Communications Eng, Heriot-Watt University His research focuses on the development and application of computational techniques for seabed mapping, bathymetric uncertainty modeling, and autonomous ocean sensing. He integrates machine learning, signal processing, and remote sensing to improve the accuracy and reliability of marine geospatial data. His work supports navigation safety, coastal zone management, and deep-ocean exploration. Recent publications highlight trends in automated nautical chart generalization, trusted community bathymetry systems, and wireless ocean-of-things networks for volunteer data collection. His article portfolio reveals a strong emphasis on data quality, uncertainty quantification, and algorithmic innovation in hydrography and marine geodesy. Brian Calder has received multiple research grants, primarily from NOAA and the U.S. Navy, supporting projects such as IT support for NOAA personnel at UNH, development of bathymetric uncertainty models, and autonomous mapping using Saildrone technology. These grants reflect sustained funding and recognition in the field of hydrographic science. He teaches graduate courses including Seafloor Characterization , Seabed Mapping , and Doctoral Research , indicating active mentorship and academic leadership. His work is conducted within the Center for Coastal and Ocean Mapping, a leading institution in hydrographic research, where he collaborates extensively with experts like Yuri Rzhanov, Larry Mayer, and Christos Kastrisios.

• Manufacturing Systems Management
• Additive Manufacturing
• 3D Printing
• +8 more

Professor Daniel Eyers is a Professor of Manufacturing Systems Management at Cardiff Business School, Cardiff University , where he also serves as Director of Quality Assurance & Enhancement. He is co-director of the Centre for Advanced Manufacturing Systems (CAMSAC) and Cardiff University RemakerSpace , highlighting his leadership in sustainable and advanced manufacturing innovation. Professor of Manufacturing Systems Management, Cardiff University (2024–present) Co-Director, Centre for Advanced Manufacturing Systems (CAMSAC) (2024–present) Co-Director, Cardiff University RemakerSpace (2020–present) External Advisor, Open University (2022–present) His research focuses on the strategic management of advanced manufacturing technologies , particularly Additive Manufacturing (3D printing) , within operations and supply chain contexts. He explores how digital technologies enhance supply chain flexibility, sustainability, and performance. His work spans flexible manufacturing systems, servitization, and change management in industrial settings. His recent publications (2020–2025) reveal a strong trajectory in AI-human collaboration in decision-making , sustainable manufacturing , urban logistics , and the integration of 3D printing in circular economies. Themes include risk management, digital transformation, and the strategic impact of emerging technologies on operations. He frequently publishes in top-tier journals such as International Journal of Operations and Production Management , Production Planning and Control , and Omega . CEng, Engineering Council (UK) FHEA, Higher Education Academy ESRC Early Career Impact Acceleration Fellowship Daniel Eyers actively supervises PhD, MSc, and MBA students and has attracted over £2.5 million in research funding from research councils, the Welsh Government, and industry. He contributes to academic program design and quality assurance, serving on university committees and as an external examiner for other institutions. He is deeply engaged in applied research with industrial partners, reflecting his background in commercial manufacturing. His leadership in research centers and commitment to sustainability, digital innovation, and education underscore his role as a key figure in modern operations management scholarship.

Dominik BüelerView profile

Researcher

• Subseasonal-to-Seasonal Prediction
• Weather Regimes
• Extratropical Cyclones
• +4 more

Dr. Dominik Büeler is a Researcher at ETH Zurich's Institute for Atmospheric and Climate Science and staff member of the Center for Climate Systems Modeling (C2SM). His work bridges atmospheric dynamics with practical climate services, focusing on subseasonal prediction systems and their societal applications in Europe. Research Focus: Büeler's work centers on subseasonal-to-seasonal prediction, with emphasis on weather regime dynamics, extratropical cyclone behavior, and stratosphere-troposphere interactions. His research integrates large ensemble modeling, forecast verification, and climate impact assessment, particularly for European weather extremes. Recent projects examine heatwave mortality prediction, energy meteorology applications, and the role of moist processes in atmospheric blocking. Analysis of his publication record since 2021 reveals consistent advancement in subseasonal forecasting methodology, with growing emphasis on societal applications including public health (heat-related mortality) and energy sectors. His work increasingly connects fundamental atmospheric processes with operational forecasting systems, leveraging collaborations through the Subseasonal-to-Seasonal Prediction Project. Affiliations: Center for Climate Systems Modeling (C2SM) - Core Research Staff ETH Zurich Institute for Atmospheric and Climate Science MeteoSwiss Collaborator (Energy Meteorology) Büeler contributes to multidisciplinary teams developing climate services, with recent work supporting Swiss operational forecasting systems. His research group within C2SM focuses on improving subseasonal predictability through advanced diagnostics of model biases and atmospheric processes.

Petter N. KolmView profile

Clinical Professor

• Quantitative Trading Strategies
• Delegated Portfolio Management
• Financial Econometrics
• +5 more

Petter N. Kolm serves as a Clinical Professor of Mathematics and Program Director at New York University, with his office located in Warren Weaver Hall (520). He can be contacted at petter.kolm@nyu.edu or 212-998-4855, and holds an editorial board position at the Journal of Portfolio Management. His academic qualifications include: Doctorate in Mathematics from Yale University M.Phil. in Applied Mathematics from the Royal Institute of Technology in Stockholm M.S. in Mathematics from ETH Zurich Dr. Kolm's research centers on quantitative finance, with primary focus areas including quantitative trading strategies, delegated portfolio management, financial econometrics, risk management, and optimal portfolio strategies. His work integrates advanced mathematical modeling with practical investment applications, bridging theoretical frameworks and real-world market dynamics through rigorous empirical analysis. Analysis of his 15 most recent publications reveals consistent emphasis on portfolio optimization techniques—particularly Bayesian methods and the Black-Litterman model—alongside significant contributions to algorithmic trading systems, factor-based equity portfolio construction, and machine learning applications for financial sentiment analysis. His scholarly output demonstrates evolution from foundational portfolio theory toward contemporary computational finance challenges. As Program Director, Dr. Kolm oversees academic programming and likely mentors graduate students in quantitative finance, though specific advisee details are not documented. His prior industry role at Goldman Sachs Asset Management provided direct experience in developing hedge fund strategies, informing his applied research approach. Dr. Kolm's professional trajectory includes significant industry engagement through his tenure in Goldman Sachs' Quantitative Strategies Group, where he developed quantitative investment systems. His current academic leadership position leverages this practical experience to shape quantitative finance education and research at NYU.

Ben Seiyon LeeView profile

Assistant Professor

• Computational Statistics
• Spatiotemporal Modeling
• Climate Change Impact Analysis
• +3 more

Ben Seiyon Lee is an Assistant Professor in the Department of Statistics at George Mason University's College of Science. His work bridges computational statistics, climate modeling, and environmental risk assessment. Education: PhD in Statistics, Pennsylvania State University (2020) Lee specializes in computational methods for high-dimensional spatiotemporal data and uncertainty quantification in climate models. His research explores climate change impacts on extreme hydrological events, wildfire emissions, and medical decision-making. Recent publications focus on Bayesian spatiotemporal frameworks for extreme precipitation analysis, zero-inflated spatial models, and multisector uncertainty quantification. His work addresses challenges in flood risk assessment, agricultural yield projections, and healthcare compliance metrics.

Henry F. (Hank) KorthView profile

Professor

• Database Systems
• Blockchain Systems
• Distributed Systems
• +7 more

Henry F. (Hank) Korth is a Professor of Computer Science and Engineering at Lehigh University, with a courtesy appointment in the Department of Decision and Technology Analytics in the College of Business. He serves as Director of the Blockchain Lab in the Center for Financial Services and Co-Director of the Computer Science and Business Program. Korth is a Fellow of the ACM and IEEE, and a recipient of the VLDB 10-Year Award and Bell Labs President's Silver Award for contributions to database technologies. PhD in Computer Science from Princeton University MA, MSE in Computer Science from Princeton University BA in Mathematics from Williams College Korth's research spans database systems, blockchain systems, distributed systems, and real-time systems. He has pioneered transaction management in parallel and distributed systems, query processing, and the impact of modern computing architectures on database performance. His recent work focuses on blockchain applications in enterprise databases, including acceleration of zero-knowledge proofs, benchmarking frameworks, central-bank digital currencies, and private-yet-provable accounting systems. His contributions are rooted in both theoretical advancements and practical implementations, such as the QTM™ aggregation engine and the DataBlitz™ main-memory storage manager. Scientific awards include: ACM Fellow IEEE Fellow 10-Year Award at the VLDB Conference Bell Labs President's Silver Award Korth actively supervises research within the Blockchain Lab and is affiliated with the Scalable Software Systems Research Group at Lehigh. His scholarly output reflects a deep engagement with blockchain benchmarking, concurrency control, verifiable databases, and the evolution of database systems in response to technological shifts.

• Decision Support Systems
• Energy Management
• Environmental Analysis
• +6 more

John Psarras is a Professor at the National Technical University of Athens (NTUA) in the School of Electrical and Computer Engineering, specifically within the Division of Industrial Electric Devices and Decision Systems. He serves as the Director of the Decision Support Systems Laboratory (DSSlab) and the University Research Institute of Communication and Computer Systems. He holds a Diploma in Mechanical Engineering (1982) and a Ph.D. in Electrical and Computer Engineering (1989), both from NTUA. His research specializes in decision support systems with applications in energy management, environmental analysis, and information systems. Key areas include: Multi-criteria analysis for energy policy and renewable integration AI-driven optimization of smart grids and building efficiency Sustainable finance mechanisms for green projects Blockchain applications in education and data security His recent publications (2023–2025) demonstrate a strong focus on AI-enhanced decision tools for energy transitions, smart infrastructure, healthcare diagnostics, and cross-border renewable cooperation, reflecting interdisciplinary innovation. He has supervised 22 PhD theses and coordinates EU-funded projects in energy policy, clean technology, and capacity building. No scientific awards are listed in available sources. He leads the Decision Support Systems Laboratory (DSSlab), advancing research in energy analytics, and directs the University Research Institute of Communication and Computer Systems, facilitating large-scale interdisciplinary collaborations.

Harald WehnesView profile

Professor

• Project Management
• IT Infrastructure
• Healthcare Project Management
• +3 more

Prof. Dr. Harald Wehnes serves as a Professor at the University of Würzburg within the Faculty of Mathematics and Computer Science, specifically affiliated with the Institute of Computer Science's Chair of Computer Science III (Communication Networks). His office is located in room A206 at the Hubland campus, with contact email wehnes@informatik.uni-wuerzburg.de. His research centers on project management methodologies, with particular emphasis on the Project Excellence Model and its practical applications. Prof. Wehnes has developed significant expertise in applying project management frameworks to complex IT infrastructure initiatives and healthcare systems. His work demonstrates how theoretical project management concepts translate into real-world implementation, especially in cross-organizational contexts. Analysis of his publication history reveals a consistent focus on practical project management applications, particularly the NIMBUS project case study which documented the consolidation of 12 data centers into a single state data center. His publications demonstrate evolving expertise from foundational programming work (evidenced by his 1981 book "Strukturierte Programmierung mit FORTRAN 77" which went through seven editions) to sophisticated project management frameworks. Prof. Wehnes has maintained active engagement with the German Project Management Association (GPM), presenting at numerous forums and events. His international reach is evident through presentations at institutions including the University of the United Arab Emirates and the University of Canterbury in New Zealand. From 2013-2020, he taught specialized courses on professional project management (Spezialvorlesung aus der Praxis: Professionelles Projektmanagement) at the University of Würzburg, sharing his extensive practical experience with students. His work environment within the Chair of Computer Science III connects his project management expertise with research areas including 5G & 6G network technologies, network and service management, and green communication networks.

• Labor Economics
• Corporate Governance
• Personnel Policy
• +4 more

Solntsev Sergey Andreevich is an Associate Professor at the Department of Applied Economics within the Faculty of Economic Sciences at the National Research University Higher School of Economics (HSE). He also serves as Deputy Head of the Laboratory of Labor Market Research. With over 23 years of scientific and teaching experience since joining HSE in 2004, he specializes in labor economics, corporate governance, and personnel policy. Candidate of Economic Sciences (2006), Lomonosov Moscow State University Master's degree in Economics (2003), Lomonosov Moscow State University Bachelor's degree in Economics (2001), Lomonosov Moscow State University His research focuses on labor market dynamics, particularly examining wage structures, personnel policies in Russian companies, top management labor markets, and the relationship between higher education and labor market outcomes. He has conducted extensive empirical research on how Russian firms adjust wages, recruit employees, and manage executive turnover, with a particular emphasis on corporate governance mechanisms. His work often utilizes unique Russian enterprise and household survey data to provide insights into labor market functioning in the Russian context. His publication portfolio demonstrates a consistent focus on Russian labor market issues, with particular attention to higher education outcomes, wage setting practices, and executive labor markets. His research combines rigorous empirical methodology with practical policy implications, contributing significantly to understanding labor market dynamics in Russia during periods of economic transition and crisis. Letter of thanks from the Rector of HSE (December 2022) Gratitude from the Faculty of Economic Sciences of HSE (February 2020) Academic Work Allowance (2014-2015, 2008-2009) Bonus for publication in a List B journal (2023-2025) Professor Solntsev teaches multiple courses including Labor Economics, Labor and Personnel Economics (in Russian and English), and Russian Economy at both bachelor's and master's levels. His teaching reflects his research expertise, providing students with insights into contemporary labor market issues in Russia. His research has been supported through institutional mechanisms at HSE, including participation in the Laboratory of Labor Market Research activities and various research projects. As Deputy Head of the Laboratory of Labor Market Research at HSE's Faculty of Economic Sciences, he contributes to one of Russia's leading research centers focused on labor market analysis. The laboratory conducts empirical studies on various aspects of the Russian labor market, often in collaboration with government agencies like Rostруд (Federal Labor and Employment Service). Professor Solntsev works closely with colleagues including Professor Sergey Roshchin, the laboratory head, on multiple research initiatives.

Fangzhou LUView profile

Assistant Professor

• Fintech
• Cryptocurrency
• Behavioral Finance
• +7 more

Fangzhou LU is an Assistant Professor of Finance at the HKU Business School, The University of Hong Kong, since 2020. His research focuses on fintech, cryptocurrency, behavioral finance, and China's economic development. He received his academic training at prestigious institutions: PhD and MS in Financial Economics from Massachusetts Institute of Technology (MIT), 2020 BS in Business from New York University, Stern School of Business, 2014 Dr. Lu's research interests encompass Fintech, Cryptocurrency, Behavioral Finance, Entrepreneurial Finance, Household Finance, Emerging Markets, consumption, fiscal stimulus, bond markets, and China's economic development. His work often leverages large datasets from China to examine how technological innovations and government policies impact financial markets and firm behavior, particularly during crises like the COVID-19 pandemic. His recent publications demonstrate a strong trend toward applied research in emerging markets, with significant contributions on SPAC IPOs, government subsidy effectiveness for failing firms, and stock market informativeness in China. These works appear in top finance journals including the Journal of Financial Economics and Journal of Financial and Quantitative Analysis, highlighting his expertise at the intersection of finance, technology, and policy analysis.

Cheuk Wai TaiView profile

Researcher

• Structure-Property Relationships
• Functional Materials
• Electron Microscopy
• +6 more

Cheuk Wai Tai is a Senior Staff Researcher at Stockholm University's Department of Environmental and Materials Chemistry since 2009. He manages the transmission electron microscopes and sample preparation equipment at the Electron Microscopy Center and serves as Section Editor for the Journal of Electronic Materials. His work focuses on quantitative structure characterization in functional materials research, particularly within nanoscience and nanotechnology contexts. Education: Ph.D. in Applied Physics, The Hong Kong Polytechnic University, 2004 M.Phil. in Applied Physics, The Hong Kong Polytechnic University, 2001 M.Sc. in Physics, The Chinese University of Hong Kong, 1998 B.Sc. (Hons) in Engineering Physics, The Hong Kong Polytechnic University, 1997 Dip. in Mechanical Engineering (Computer Aided Engineering), Institute of Vocational Education (formerly Haking Wong Technical Institute), Hong Kong, 1992 His research centers on structure-property relationships in functional materials through advanced electron microscopy techniques. Current specializations include Pair Distribution Function (ePDF) & Diffuse Scattering, Energy Materials characterization, and EM sample preparation methodology development. The group maintains strong focus on translating structural data into functional performance metrics for nanomaterials. Recent publications (2013-2019) demonstrate consistent emphasis on electron microscopy applications for energy storage materials (batteries, photocatalysts) and functional ceramics. Key trends include structural disorder analysis in piezoelectrics, development of quantitative TEM methods like SUePDF, and nanoscale characterization of electrocatalyst surface phases. His work bridges materials chemistry with advanced imaging techniques. Scientific recognition includes: Fellow of The Royal Microscopical Society (U.K.) Senior Member of IEEE Marie Curie Fellowship (2007-2009) from European Commission Sir Edward Youde Memorial Fellowship (2003/2004) from Hong Kong S.A.R. Government He teaches Solid State Chemistry (KZ7003) and leads Introduction to Analytical Electron Microscopy (KZ8009), having previously taught Advanced Transmission Electron Microscopy (KZ8010) before 2011. Major grants supporting his work include: "Quantitative structural characterisation using 3D electron-based pair distribution function" (Swedish Research Council) "A Multidimensional Toolkit for Modern Electron Microscopy" (Swedish Foundation for Strategic Research) "Mitigating Ni-rich Li-ion cathode side-reactions" (Swedish Energy Agency, Co-applicant) He leads the Cheuk-Wai Tai group within Stockholm University's chemistry department and oversees operations at the Electron Microscopy Center, where his team develops and applies advanced characterization techniques for functional materials research.

Rachel ScholesView profile

Assistant Professor

• Environmental Chemistry
• Water Reuse
• Trace Contaminants
• +4 more

Dr. Rachel Scholes is an Assistant Professor in the Department of Civil Engineering at the University of British Columbia. Her research focuses on protecting human and environmental health through the study of contaminants in urban water systems, with an emphasis on optimizing contaminant removal in engineered and nature-based treatment systems. She holds a B.S. in Chemical Engineering from Northwestern University and M.S. and Ph.D. in Environmental Engineering from the University of California, Berkeley. Her research interests include environmental chemistry, trace contaminants, water reuse, nature-based treatment systems, and stormwater treatment. She teaches courses such as ENVE 301 (Environmental Engineering Intermediate Design Project) and CIVL 562 (Environmental Data Collection and Analysis). Her lab, Scholes Lab, actively investigates contaminant dynamics in constructed wetlands, bioretention systems, and subsurface treatment environments. Key research contributions include enhancing contaminant removal via Fe (III)-EDTA-amended wetlands, studying 6PPD-quinone dynamics in salmon streams, and optimizing pharmaceutical attenuation in benthic wetland biomats. Her work bridges fundamental environmental chemistry with applied engineering solutions for sustainable water management. Dr. Scholes' lab collaborates on projects funded by grants focused on urban water systems, green infrastructure, and contaminant fate. She advises students through the Scholes Lab (www.scholeslab.org), which emphasizes interdisciplinary approaches to environmental challenges.

• Human Geography
• Science and Technology Studies
• Climate Change Adaptation
• +4 more

Dr. Sophie Adams serves as an ARC DECRA Fellow in the Department of Sociology at La Trobe University, where she conducts interdisciplinary research at the intersection of human geography and Science and Technology Studies. Her work critically examines the social dimensions of climate change mitigation and adaptation, with particular emphasis on renewable energy transitions and the societal implications of technological solutions to environmental crises. Adams' research program centers on the politics of environmental knowledge , investigating how climate science informs policy formation and the negotiation of social objectives in decarbonisation processes. She employs qualitative and participatory methodologies to analyze climate change adaptation in energy systems , social license for technological interventions , and the redistribution of expertise in public health and environmental governance. Her scholarship consistently addresses power dynamics in knowledge production and the democratic challenges of sustainability transitions. Analysis of her publication trajectory (2019-2025) reveals increasing focus on energy-social interfaces, with significant contributions to understanding virtual power plants, demand-side management, and the role of modeling in climate policy. Her work demonstrates methodological innovation through participatory approaches while maintaining critical engagement with resilience thinking and adaptation frameworks. Scientific recognition includes: Australian Research Council Discovery Early Career Researcher Award (ARC DECRA) Supported by her DECRA fellowship, Adams leads independent research projects examining the societal dimensions of energy transitions. Her collaborative work spans geography, public health, and energy engineering, as evidenced by interdisciplinary co-authorship patterns. Current projects investigate Australian householders' conditions for participating in virtual power plants and the social implications of climate modeling in adaptation planning, reflecting her commitment to socially relevant environmental research.