Mia Consalvo is a Professor and Canada Research Chair in Game Studies & Design at Concordia University. She serves as Graduate Program Director in Communication Studies and directs the Concordia Centre for Technoculture, Art and Games. Her research focuses on game studies, qualitative methods, new media, and popular culture. Education: BA in Communications, Lyndon State College MA in Communications, University of Washington PhD in Mass Communications, University of Iowa Her recent work analyzes livestreaming platforms like Twitch, socio-economic class in gaming, feminist approaches to game studies, and the intersection of mental health with game environments. She has published extensively on game design, player culture, and digital labor. Scientific Awards: Canada Research Chair in Game Studies & Design She supervises thesis projects in Media Studies (MA) and Communication (PhD) programs, emphasizing collaborative research and critical analysis of games as cultural artifacts.
Zac Wiebe is an Assistant Professor at the William Dillard Department of Accounting within the Walton College of Business at the University of Arkansas. He also serves as the Director of Master's Programs for the Accounting Department. Dr. Wiebe joined the faculty in 2018 after completing his Ph.D. in Business at the University of Kansas. His position combines teaching responsibilities with research focused on financial reporting in public capital markets. Education: PhD in Business, University of Kansas Master of Accounting, University of Kansas Bachelor of Commerce, University of Saskatchewan Dr. Wiebe's research primarily focuses on the intersection of financial reporting and capital markets. His work examines how accounting information influences investor decision-making and market efficiency. Key areas include Financial Reporting and Capital Markets , Non-GAAP Financial Measures , Investor Information Processing , Accounting Standard Setting , and Mergers, Acquisitions, and Divestitures . His research investigates how financial disclosures affect market participants' understanding of firm performance and value, with particular attention to non-GAAP metrics, segment reporting, and the impact of temporal factors on information processing. Dr. Wiebe's publication record demonstrates a consistent focus on how financial reporting practices influence capital market participants. His most recent work examines the impact of daylight saving time on investor information processing, revealing behavioral aspects of financial decision-making. Earlier research investigates the determinants and usefulness of non-GAAP revenue disclosures and segment profit/loss reporting. His work spans top accounting journals including The Accounting Review , Management Science , and Contemporary Accounting Research , indicating strong methodological rigor and relevance to both academic and practitioner audiences. Professional Recognition: Research published in top-tier accounting journals: The Accounting Review, Management Science, and Contemporary Accounting Research Research cited by major media outlets including Forbes, Fox Business News, and Bloomberg Active CPA license with the Colorado Society of CPAs As Director of Master's Programs for the William Dillard Department of Accounting, Dr. Wiebe oversees the Accounting Master's program curriculum and administration. He teaches Financial Accounting Research and Theory to Master's students, bridging his research expertise with classroom instruction. While specific grant information isn't provided in the available materials, his publication record in premier journals suggests successful research funding support. His role as program director indicates leadership responsibilities within the department beyond traditional teaching and research duties. Dr. Wiebe maintains an active research agenda focused on financial reporting's role in capital markets. His work suggests collaboration with other accounting scholars across multiple institutions, though specific research teams or labs aren't explicitly mentioned in the available information. His focus on practical implications of accounting standards indicates engagement with both academic and professional accounting communities.
Prof. Torsten Wolfgang Kuhlen serves as a Universitätsprofessor at RWTH Aachen University, leading the Teaching and Research Area for Virtual Reality and Immersive Visualization within the Department of Computer Science. He is affiliated with Chair of Computer Science 12 (High Performance Computing), the Visual Computing Institute, and remains an integral part of the RWTH IT Center where his research group operates one of the world's largest Virtual Reality laboratories including the 30 sqm aixCAVE visualization chamber. The group maintains strong connections with Computational Science & Engineering Division, National High Performance Computing Center for Computational Engineering Science (NHR4CES), and VR in Science and Industry Network NRW e.V. Prof. Kuhlen's research spans virtual reality, immersive visualization, and multimodal 3D user interfaces with applications across simulation science, production technology, neuroscience, and medicine. His work combines basic research on advanced methods and algorithms with interdisciplinary collaborations involving RWTH Aachen institutes, Forschungszentrum Jülich, and industry partners. Recent publications demonstrate strong focus on audiovisual perception, immersive analytics, collaborative virtual environments, and practical VR applications in education and manufacturing. His research group has produced significant work on listening effort in virtual environments, immersive authoring techniques, and VR applications for scientific visualization. Notable projects include VRScenarioBuilder for automated vehicle testing and applications in monitoring additive manufacturing processes. The group actively participates in major conferences including IEEE VIS and EuroVis, with several award-winning contributions. Prof. Kuhlen has advised PhD students including Martin Bellgardt who recently completed his doctoral degree on "Increasing Immersion in Machine Learning Pipelines for Mechanical Engineering". The research group maintains state-of-the-art VR infrastructure including the aixCAVE facility which is open to all RWTH research groups.
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. 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.
Joachim Weickert is a Professor of Mathematics and Computer Science at Saarland University where he heads the Mathematical Image Analysis Group since 2001. He received his diploma and Ph.D. in mathematics from the University of Kaiserslautern (1991, 1996), and a habilitation degree in computer science from the University of Mannheim (2001). Prior to his current position, he worked as a research assistant at the University of Kaiserslautern, as a post-doctoral researcher at the universities of Utrecht and Copenhagen, and as an assistant professor at the University of Mannheim. His research focuses on image processing, computer vision, and scientific computing, with special emphasis on techniques based on partial differential equations, variational principles, wavelets, morphological and nonlocal methods, as well as neuroexplicit approaches. He has developed mathematical models and efficient numerical algorithms for image restoration, enhancement, segmentation, compression, optic flow computation, stereo reconstruction, shape from shading, and signal processing methods for tensor fields. These ideas have been successfully applied in industry, biomedical image analysis, and other fields. Analysis of his recent publications reveals a strong trend toward combining traditional PDE-based methods with modern deep learning approaches, particularly in the areas of image inpainting and compression. His work increasingly explores the connections between numerical algorithms for partial differential equations and neural network architectures, demonstrating how mathematical foundations can inform cutting-edge AI techniques while maintaining strong theoretical guarantees. Gottfried Wilhelm Leibniz Prize (2010), considered the most important research award in Germany ERC Advanced Grant (2017) for "Inpainting-based Compression of Visual Data" Elected member of Academia Europaea - The Academy of Europe Jan Koenderink Prize for Fundamental Contributions in Computer Vision (2014) Multiple DAGM Prizes and Best Paper Awards throughout his career AAIA Fellow (2021) and Highly Ranked Scholar (2024) distinctions Professor Weickert has supervised over 250 bachelor's and master's theses and initiated the Master Programme in Visual Computing at Saarland University, the first of its kind in Germany taught in English. He has established numerous interdisciplinary collaborations with colleagues from medicine, bioinformatics, pharmacy, physics, mechatronics, and mechanical engineering. As Principal Investigator for Visual Computing within the Multimodal Computing and Interaction Cluster of Excellence, and former dean of the Faculty of Mathematics and Computer Science (2008-2010), he has played a significant leadership role in advancing visual computing research and education. He heads the Mathematical Image Analysis Group, which has been at the forefront of developing mathematical methods for image analysis. The group maintains strong connections with both theoretical mathematics and practical applications, bridging the gap between fundamental research and real-world implementation across various domains including medical imaging, industrial inspection, and multimedia processing.
Saras D. Sarasvathy is the Paul M. Hammaker Professor at the Darden Graduate School of Business, University of Virginia, where she is a member of the Strategy, Entrepreneurship and Ethics area. A leading researcher in entrepreneurship, she advises entrepreneurship programs globally across Europe, Asia, and Africa, while serving on boards of companies including Lending Tree (Nasdaq: TREE) and Upekkha, a SaaS accelerator in Bangalore, India. Her research focuses on the cognitive basis of high-performance entrepreneurship, particularly her groundbreaking work on effectuation theory. Sarasvathy's scholarship examines how expert entrepreneurs think and act under uncertainty, challenging traditional predictive approaches to business strategy. She has developed frameworks showing how entrepreneurs create markets and opportunities through action-oriented, non-predictive methods that leverage available means rather than predetermined goals. Sarasvathy's award-winning research has generated significant scholarly attention and practical applications worldwide. Her work has spawned over a hundred scholars involved in the effectuation research program, with publications available through www.effectuation.org. Her influential book Effectuation: Elements of Entrepreneurial Expertise and co-authored textbook Effectual Entrepreneurship (winner of the 2012 Axiom Business Book Awards Gold Medal) have shaped entrepreneurship education globally. Among her numerous accolades are the 2022 Global Award for Entrepreneurship Research (the highest recognition in the field), the Academy of Management's 2019 Foundational Work Award, and recognition as one of Fortune Small Business Magazine's top 18 entrepreneurship professors. She has received honorary doctorates from multiple universities in Europe and Asia and has been named a Visiting Professor at institutions worldwide. Before academia, Sarasvathy founded and ran five successful businesses across three countries. Her doctoral research at Carnegie Mellon University was supervised by Herbert Simon, the 1978 Nobel Laureate in Economics, with whom she collaborated to discover the essential elements of entrepreneurial know-how. She holds a B.Com. from the University of Bombay, India, and an MSIA and Ph.D. from Carnegie Mellon University.
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) 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.
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.
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.
Kathrine von Graevenitz is Deputy Head of the Environmental and Climate Economics research unit at ZEW - Leibniz Centre for European Economic Research in Mannheim, Germany, and Professor of Empirical Environmental Economics at the University of Mannheim since October 2021. She is sponsored by the Leibniz Association through the Program for Women Professors and serves on the scientific consultative group to the Research Data Centres of the German Statistical Offices. Her research spans environmental and urban economics with a methodological focus on applied microeconometrics. She investigates the impact of environmental and climate regulation on firm performance, the drivers of renewable energy technology adoption, and revealed preferences in housing markets, particularly addressing spatial correlation and endogeneity challenges. Her work often utilizes administrative micro-data to evaluate policy impacts on manufacturing sectors, housing markets, and environmental outcomes. Analysis of her recent publications reveals a strong focus on empirical evaluation of climate policies, particularly their effects on German manufacturing competitiveness, electricity pricing mechanisms, and renewable energy adoption. Her research combines rigorous econometric methods with practical policy relevance, frequently cited by German economic policy institutions including the German Council of Economic Experts. Her work demonstrates a consistent trajectory from urban environmental valuation (her PhD focus) to broader climate policy evaluation in industrial and housing sectors. Cited in the annual report of the German Council of Economic Experts 2022 Cited in corresponding VoxEU column Winner of the Department of Economics Prize for best thesis at University of Essex (2004/2005) Member of Female Economists' Network of German Ministry for Economic Affairs As Deputy Head of ZEW's Environmental and Climate Economics unit, von Graevenitz leads research on environmental regulation impacts and manages collaborations with policy institutions. Her work has been covered by major German media outlets including Zeit Online, Süddeutsche Zeitung, and Tagesspiegel, demonstrating its policy relevance. She has been involved in multiple policy briefs for ZEW and government bodies, translating academic research into practical policy recommendations. Her research is conducted within ZEW's Environmental and Climate Economics unit, which focuses on empirical analysis of environmental policies, climate economics, and sustainability transitions. The unit works closely with German policy institutions and contributes to national climate policy discussions, particularly regarding manufacturing sector impacts and energy transition challenges.
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.
Mohsen Lesani is an Associate Professor in the Computer Science and Engineering Department at the University of California, Santa Cruz's Baskin School of Engineering. His research focuses on reliability and security of software systems, particularly concurrent and distributed systems, with recent emphasis on secure replicated systems and distributed machine learning. Dr. Lesani received his PhD from UCLA, MS in artificial intelligence from Sharif University of Technology, and BS in software engineering from University of Tehran. He was previously a postdoc at MIT. His educational background provides a strong foundation for his interdisciplinary research spanning programming languages, distributed systems, and security. His research interests center on creating reliable and secure distributed systems. Current projects include resilient and secure distributed systems, heterogeneous and reconfigurable secure distributed systems, automatic analysis and synthesis of replicated objects, verification of distributed systems, data analytics, secure exchange across blockchains, machine learning for performance models, domain-specific languages and type systems, and automatic fence insertion for concurrent systems. His work bridges theoretical foundations with practical implementations to address real-world challenges in distributed computing. Lesani's research has been recognized with several prestigious awards including the NSF CAREER award in 2020 and DARPA YFA award in 2022. His work has also received the SIGPLAN Research Highlight in 2019, a distinguished paper award at OOPSLA 2018, and a best paper award at ISSRE 2015. These accolades reflect the impact and quality of his contributions to the field. He actively mentors PhD students in the Safe and Secure Software (S3) lab, including Xiao Li, Eric Chan, Javad Saber-Latibari, and Tejas Mane. His research has been supported by multiple NSF grants, demonstrating sustained funding for his innovative work. Lesani serves on program committees for major conferences including POPL, PLDI, OOPSLA, and DISC, contributing to the academic community. Lesani leads the Safe and Secure Software (S3) lab at UC Santa Cruz, where his team works on cutting-edge research in distributed systems, programming languages, and security. The lab fosters a collaborative environment where theoretical insights are translated into practical systems that address real-world challenges in reliability and security of distributed applications.
Professor Caroline Rae at Cardiff University is a leading scholar in 20th-century French music , with a focus on composers like Debussy, Messiaen, Jolivet, and Boulez. She also specializes in the musical writings of Alejo Carpentier and Franco-Latin American cultural interactions . Her research combines archival studies, performance practice, and pianism. Education : DPhil (Oxford), MA (Oxon), Dipl. Mus (Hanover), ARCM Her research projects include monographs on André Jolivet and Debussy’s Préludes , supported by the British Academy and AHRC . Recent publications span books on Carpentier, Debussy, and Stravinsky’s reception in France. As Co-Director of CFMR , she has organized international symposia with institutions like the Institut Français and Paul Sacher Foundation . Scientific awards include the Chevalier de l'Ordre des Arts et des Lettres (2018), Cardiff University Research Fellowship (2018-2019), and a French Government Scholarship (1982-1983). She has served on juries for the BBC Young Musician Competition and Wales International Piano Competition . As a pianist , she studied under Dame Fanny Waterman , Yvonne Loriod-Messiaen , and Karl-Heinz Kämmerling , and performs lecture-recitals linking her research. She has advised orchestras like the Philharmonia Orchestra and BBC National Orchestra of Wales on festival programming.
