Prof. Dr. Alfons J. Weichenrieder is a Professor of Economics and Public Finance at Goethe University Frankfurt . His research focuses on international corporate taxation, fiscal federalism, public debt, redistribution policies, and tax morality. He serves on multiple advisory boards including the German Ministry of Finance and Leibniz ScienceCampus MaTax . As Managing Editor of FinanzArchiv , he contributes to public finance analysis. Education : Habilitation (2001) and Ph.D. (1995) from University of Munich Research Themes : Tax havens, EU fiscal policy, corporate tax incentives, environmental FDI interactions His recent work explores pro-rich inflation dynamics , green dividend mechanisms , and taxation-induced capital distortions . Collaborative projects span institutions like Oxford University , Norwegian School of Economics , and Deutsche Bundesbank . Scientific Recognition Top-100 German researcher in economics & finance (RESEARCH.COM, 2025) International Research Fellow, Oxford CBT CESifo Research Fellow Member, Norwegian Center for Taxation
Nathalie Burlone is a Full Professor in the School of Political Studies at the University of Ottawa, specializing in the Public Administration program. Her office is located in FSS7006 with contact number 613-562-5800 extension 2242. She teaches core courses including PAP6511 (Public Policy Theory), PAP9711 (Public Policy), and doctoral seminars in policy analysis. Her educational credentials include: Ph.D. in Public Administration, École nationale d'administration publique (2001) M.A. in Public Policy Analysis, Université Laval (1991) B.A. in Psychology, Université McGill (1989) Professor Burlone's research centers on discourse analysis of policy construction in emotionally charged domains, particularly medical aid in dying, end-of-life care, family policy, and social policy. She examines how narratives frame value-laden decisions and policy evolution, employing qualitative and visual methodologies to dissect the interplay between morality, rationality, and governance structures in public issue formation. Her publication pattern (2007-2020) reveals consistent focus on policy framing mechanisms in contentious areas, especially Canada's medical assistance in dying legislation. She analyzes how competing narratives shape policy development through discourse analysis, bridging theoretical public policy concepts with practical governance applications. Her work increasingly connects community partnership models with policy implementation frameworks. Scientific Awards: No scientific awards documented in source materials She currently supervises six doctoral candidates including Sharma Aurelien (2026 completion), Sarah Borbolla Garcés (2025), and Véronique LeBlanc (2024), guiding research on policy framing in end-of-life and family policy contexts. Her academic leadership extends to co-directing Revue Gouvernance (2015-2025), where she shapes scholarly discourse on Canadian governance. As co-director of Revue Gouvernance since 2015, she leads Canada's premier French-language journal on public policy and governance, fostering academic exchange on policy framing and institutional analysis within Francophone scholarly networks.
Fedor Dokshin is an Assistant Professor in the Department of Sociology at the University of Toronto, Downtown Toronto (St. George) campus. His research bridges computational social science with environmental and political sociology, focusing on energy transitions, partisan dynamics, and social network structures. Key research areas include racial and income disparities in solar photovoltaic adoption, policy feedback mechanisms in renewable energy programs, and partisan influences on environmental decision-making. Fields of Study: Computational and Quantitative Methods, Environmental Sociology, Political Sociology, Social Networks Areas of Interest: Computational social science, Energy and the environment, Political polarization Research Trends: Dokshin's publications reveal a focus on energy justice, behavioral diffusion models, and political polarization. His work combines computational methods with environmental policy analysis, examining how socioeconomic factors and partisan identities shape renewable energy adoption. Articles demonstrate geographic heterogeneity in opposition to extraction projects, digital discourse analysis techniques, and institutional dynamics affecting scholarly knowledge production. Methodological Emphasis: Utilizes large-scale data analysis, spatial modeling, and automated textual analysis to explore energy-environment-society intersections. Research highlights the tension between technical solutions and social equity in energy transitions, with recurring themes of policy design, public engagement, and networked political behavior.
Myriam M.A.H. Cloodt serves as an Associate Professor of Open Innovation and Entrepreneurship at the Department of Innovation, Technology Entrepreneurship & Marketing (ITEM) within the School of Industrial Engineering at Eindhoven University of Technology (TU/e). She is also affiliated with EAISI High Tech Systems as a University Researcher. Her academic career spans over two decades, with a continuous focus on understanding innovation processes in complex business environments. Dr. Cloodt earned her MSc in Business Economics from Maastricht University in 1997. After working as a lecturer for two years, she began her PhD research at the Department of Organization & Strategy, completing her dissertation at METEOR (Maastricht University) on measuring innovative performance of high-tech companies after mergers and acquisitions. She joined Eindhoven University of Technology in July 2004 as a researcher at the School of Technology Management, becoming Assistant Professor in June 2006, and was promoted to Associate Professor of Open Innovation and Entrepreneurship in August 2017. Her research focuses on open innovation, corporate entrepreneurship, and strategic management, with particular interest in corporate venturing, strategic technology alliances, mergers and acquisitions, network analysis, and value constellations within innovation ecosystems. Dr. Cloodt's work bridges academic theory and practical application, as evidenced by her participation in industry projects for companies and innovation ecosystems like the High Tech Campus Eindhoven. Her publications span prestigious journals including Research Policy, Journal of Product Innovation Management, and Technological Forecasting and Social Change, as well as book chapters for Oxford University Press. Analysis of her recent publications reveals a strong trajectory toward circular economy applications, particularly in plastics innovation, alongside continued work on innovation ecosystems, science parks, and military innovation contexts. Her research demonstrates methodological diversity, employing network analysis, case studies, and stated choice experiments to investigate complex innovation phenomena across different sectors and organizational contexts. Best Paper Award - Mature PhD Student at the ESU European University Network on Entrepreneurship Conference (2021) Dr. Cloodt actively supervises graduate students and has contributed to numerous research projects, including C-PlaNeT (Circular Plastics Network for training), SEE-V-Lab, and the Brabant Center of Entrepreneurship. Her professional engagements extend to developing publications for organizations such as Adviesraad voor het Wetenschaps- en Technologiebeleid (AWT) and Het Financieele Dagblad. In teaching, she contributes to the BSc program in Industrial Engineering & Management Science, the MSc program in Innovation Management, and the Certificate program in Technology Entrepreneurship & Management. Her work aligns with UN Sustainable Development Goals, particularly through contributions to circular economy research and sustainable innovation practices. Dr. Cloodt maintains active collaborations with industry partners and participates in significant academic conferences including the Annual World Open Innovation Conference where she serves on program committees.
Yanliu Huang is a Professor and Department Head of Marketing at LeBow College of Business, Drexel University. She holds a PhD in Marketing from the Wharton School, University of Pennsylvania, and combines field and lab studies to address critical marketing and consumer behavior questions. Education: PhD in Marketing (Wharton School, University of Pennsylvania) Her research focuses on new technology in marketing , in-store decision making , consumer planning , and consumer welfare . She explores how digital interfaces influence planning, the psychology of indulgent choices, and the impact of store layouts on unplanned purchases. Recent publications examine voice-based shopping interactions , emoji usage in communication , and technology’s role in financial decision making . Her work bridges marketing science , neuroscience , and behavioral economics . Scientific Awards: MSI/H. Paul Root Award, Dean’s Excellence in Research Award, ExCITe Research Funding Award, Best Retail Proposal Award (Society for Marketing Advances) Editorial Roles: Associate Editor at Service Science; Editorial Review Board member at Journal of the Academy of Marketing Science, Journal of Consumer Psychology, and Journal of Retailing Dr. Huang’s research has been featured in Harvard Business Review , Wall Street Journal , and The Economist , with grants supporting studies on digital interfaces and consumer welfare.
Prof. Dr. Guido Voigt serves as a Professor at the Institute for Logistics and Supply Chain Management within the University of Hamburg Business School. His office is located at Moorweidenstraße 18, Room 2013, Hamburg, with contact details including phone +49 40 42838-1549 and email guido.voigt@uni-hamburg.de. Office hours are by appointment. His research centers on Supply Chain Management and Behavioral Operations, focusing on contract design under asymmetric information, inventory management, remanufacturing, and sustainability. Key themes include the impact of communication media on supply chain information sharing, carbon footprint reduction strategies, and behavioral modeling of consumer choices in service operations. His work bridges theoretical optimization with empirical assessments of decision-making. Recent publications (2024-2015) reveal a trajectory toward behavioral supply chain dynamics, examining online appointment systems, ratchet effects in contracting, and ambiguity aversion in remanufacturing. The body of work consistently addresses information asymmetry and risk management through experimental and modeling approaches. No scientific awards are documented in the source material. No information regarding student advising or research grants is provided in the available text. Prof. Voigt leads the Institute for Logistics and Supply Chain Management at the University of Hamburg Business School, collaborating with researchers including Alexander Daniels, Hannes Cordes, Victoria Riemer, and Ira Widderich. The institute maintains active research streams in logistics optimization and behavioral supply chain phenomena.
Karin Pfennig is a Professor in the Department of Biology at the University of North Carolina at Chapel Hill. Her research focuses on understanding how behavior drives biodiversity, particularly through the evolution of mating behavior and its role in speciation, hybridization, and species distributions. She uses spadefoot toads as model organisms to study adaptive hybridization, behavioral plasticity, and the ecological consequences of species interactions. Her work combines field studies, laboratory experiments, and genetic analyses. Key research themes include the evolution of mate choice plasticity, the role of hybridization in range expansions, and the mechanisms underlying reproductive character displacement. Pfennig’s lab is located in Wilson Hall, and she actively mentors graduate students such as Catherine Chen, Patrick Kelly, and Gina Calabrese. Notable awards include winning the NSF’s 2026 Idea Machine competition for her proposal on community-driven carbon capture solutions. Her findings have been published in prestigious journals like *Science*, *Proceedings of the Royal Society B*, and *Journal of Heredity*. Pfennig’s research bridges ecology and evolution, addressing critical questions about biodiversity maintenance and adaptation in human-impacted environments. Her lab emphasizes interdisciplinary approaches, integrating behavioral, ecological, and genetic perspectives to unravel complex evolutionary processes.
David Miles is a Professor of Financial Economics at Imperial College Business School, affiliated with the Department of Finance. He serves on the Budget Responsibility Committee of the Office for Budget Responsibility and the Commission of the Irish Central Bank. Previously, he was a member of the Bank of England's Monetary Policy Committee (2009–2015). His research focuses on fiscal sustainability, financial stability, monetary policy, and demographic change. He has also contributed to analyses of housing markets, mortgage dynamics, and the impact of remote work on urban economies. Education & Professional Background: Academic roles at Birkbeck College, London and Oxford University Industry experience with Morgan Stanley and Merrill Lynch Research Interests: Fiscal policy challenges and long-term sustainability Monetary policy design and implementation Demographic shifts and their macroeconomic implications Pension system reform and risk management Housing market dynamics and mortgage market innovation Key Publications Trends (2021–2024): Recent work emphasizes pension fund sustainability (e.g., USS pension scheme analysis), post-pandemic economic recovery strategies, and the macroeconomic impacts of demographic changes. He explores policy trade-offs between health safety and economic activity during the pandemic, as well as long-term structural issues in financial systems. Awards: CBE (2016 Queen's New Year’s Honours) Advisory & Grants: Active in policy advisory roles across UK and EU institutions. His work often bridges academic research with practical policymaking, particularly in fiscal and monetary domains. Labs/Teams: Collaborates with cross-disciplinary teams at Imperial College and external institutions on topics like pension systems, macroeconomic modeling, and public health policy.
Dr. Qiteng Hong is a Reader in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He holds a BEng (Hons) and PhD from the same institution and is a leading researcher in power system protection and control for renewable-dominated grids. He is Deputy Director of the MSc in Electrical Power and Energy Systems and a member of the Steering Committee for the Joint MSc with Hong Kong University of Science and Technology (HKUST). BEng (Hons), Electronic and Electrical Engineering, University of Strathclyde, 2011 (Top Graduate of the Year) PhD, Electrical Engineering, University of Strathclyde, 2015 (fully funded by National Grid) His research focuses on novel solutions for monitoring, protection, and control of future power systems, particularly those with high renewable penetration. Key areas include wide-area monitoring using synchronized measurements, protection of converter-dominated systems, fast frequency response in low-inertia networks, and digital twin-based real-time control. His work contributes to UN Sustainable Development Goals in clean energy and climate action. Dr. Hong has published over 110 research outputs, including 59 journal articles. His recent publications (2025) emphasize fault detection and arc suppression in active distribution networks using advanced converter topologies and signal processing techniques. Themes include traveling wave analysis, Hough transform, synthetic zero-sequence signals, and machine learning for frequency prediction, reflecting a strong trend toward intelligent, data-driven power system protection. Gold Medal, 49th International Exhibition of Inventions Geneva (2024) IET Best Paper Award (DPSP APAC 2025) Best Paper Award, IEEE APAP (2019) Principal’s Award Runner Up, University of Strathclyde (2024) Students' Choice Award (2021) British Renewable Energy Awards – 'Highly commended' (2018) IET Prize for Academic Excellence (2011) John Moyes Lessells Scholarship (2013) Shortlisted for Best Innovation Award, Scottish Renewables (2018) Dr. Hong has led or participated in over 50 research and KE projects, securing £11M in funding (PI on £2.26M). He leads a team of 10 researchers, including 5 PhD students, and has developed the LGMVP platform—the UK’s first online tool of its kind. He serves on the University Senate, is a guest editor for 5 journal special issues (Co-Guest Editor-in-Chief for a special issue on zero-carbon power systems), and has delivered teaching across 9 modules. He has been PI or Co-I on major projects such as SETTLE-INSIGHT (NIA), Shell-iCase, and NGET SIF ALPHA. He leads an active research group focused on smart grid protection and digital twin technologies. He is the main developer of four prototype software tools and mentors a team of PhD students and research associates. His lab collaborates with industry partners like SSE, National Grid, and Shell, and he is a key figure in international initiatives through IEEE and CIGRE.
Dr. Saumen Mandal is a Professor in the Department of Statistics at the University of Manitoba, Faculty of Science. He holds a PhD from the University of Glasgow, UK, and MSc/BSc (Gold Medal) from the University of Calcutta, India. His research focuses on optimal experimental design, biostatistics, data science, shrinkage estimation, and constrained optimization. He has received numerous teaching awards including the Dr. and Mrs. H.H. Saunderson Award for Excellence in Teaching, Students Choice Best Professor Award, and multiple Merit Awards. He is also a P.Stat. designee from the Statistical Society of Canada. Education: PhD (Statistics), University of Glasgow, UK MSc (Statistics), University of Calcutta, India (First Class First, Gold Medal) BSc Honours (Statistics), University of Calcutta, India Research Interests: Optimal design theory and applications Biostatistical methods for clinical trials and healthcare data Data science and machine learning techniques Shrinkage estimation and model selection Linear models and goodness-of-fit testing Publications span topics like optimal regression designs, response-adaptive clinical trial methods, and statistical models for healthcare data. His work emphasizes practical applications in medicine and data-driven decision making. Awards include: Teaching Excellence Awards (2005-2007) Merit Awards for Teaching and Research (2010-2019) Faculty of Science Innovation in Teaching Award (2020) He advises graduate students in statistics and contributes to research teams in biostatistics and data science. His office is temporarily located at 256 Parker Building during construction.
Jee Eun (Jamie) Kang is an Associate Professor in the Department of Industrial and Systems Engineering at the University at Buffalo's School of Engineering and Applied Sciences. Research focuses on transportation modeling and applied operations research, with applications in urban mobility, shared autonomous vehicles, and sustainable transportation systems. Education includes a PhD from UC Irvine. Research emphasizes data-driven approaches to travel behavior, electric vehicle adoption, and humanitarian logistics. Publications consistently address mobility innovation, including pricing strategies for emerging services, predictive analytics for transit, and optimization of shared transportation systems.
Kobus Barnard is a Professor in the Department of Computer Science at the University of Arizona, with his office located in GS 708. His research bridges computer vision, machine learning, and interdisciplinary scientific applications across diverse domains. Education: Ph.D. from Simon Fraser University (1999) His research interests focus on extracting meaningful insights from complex data through computer vision and probabilistic modeling. Key areas include machine learning for environmental monitoring (flood detection, plant disease analysis), social dynamics (interpersonal coordination, emotional coregulation), astronomy (transient classification), and multimodal learning (visual-linguistic integration). His work consistently applies deep learning to real-world problems requiring high-resolution data interpretation. Analysis of his 2022-2025 publications reveals three dominant trends: (1) Environmental applications using satellite imagery for flood mapping and agricultural monitoring, (2) Cognitive modeling of human teams and emotional dynamics through probabilistic frameworks, and (3) Astronomical data analysis leveraging host galaxy properties for transient classification. These threads demonstrate his commitment to solving practical scientific challenges through computational innovation. While scientific awards aren't documented in available sources, his leadership in projects like FloodPlanet and ToMCAT indicates significant contributions to data infrastructure. His advising and grant activities remain unreported in the source material, though his extensive interdisciplinary collaborations suggest substantial mentorship impact. Barnard's work operates at the intersection of multiple scientific communities, evidenced by applications spanning neuroscience, agriculture, astronomy, and social science. His current focus on high-resolution data fusion and multimodal modeling positions him at the forefront of real-world AI deployment.
Robin Kleer is an Associate Professor of Innovation Management at Vlerick Business School in Leuven, Belgium. He serves as Programme Director for the Masters in Innovation and Entrepreneurship and Masters in General Management. Previously, he held positions at RWTH Aachen University (Habilitation), Technical University of Berlin (Professor of Technology and Innovation Management), and visiting roles at MIT, Michigan State University, and others. His research focuses on technology transfer, sustainable business models, digitalisation, additive manufacturing, and blockchain applications. He teaches innovation management, technology foresight, and executive education programmes like 'Growth through Innovation.' Education: Doctor in Economics (University of Würzburg, Germany) Habilitation (Post-Doc Degree) at RWTH Aachen University Degree in Business Engineering (University of Karlsruhe) Research Interests: Dr. Kleer explores the interplay between innovation, market structures, and business models. His work emphasizes sustainable practices in digitalisation, additive manufacturing (3D printing), and blockchain. He investigates how these technologies enable more sustainable business models and collaboratively oriented value creation. Key themes include degrowth theory, mass customization, and the societal implications of Industry 4.0. Grants & Labs: His research has addressed topics like modular smartphone design, recycling consortia dynamics (e.g., German Recyclate Forum), and computational reviews of customization literature. While specific grants aren’t detailed, his work frequently engages with interdisciplinary frameworks for sustainable degrowth and post-growth economics.
Rainer Schulz is a Senior Lecturer at the Business School of the University of Aberdeen, where he conducts research and teaches in real estate economics, housing markets, and financial economics. He is actively accepting PhD students and supervises research in real estate. His affiliations include the Gillmore Centre for Financial Technology at Warwick Business School and the Berlin Center for AI Research in Economics and Management. Research Interests: Dr. Schulz's research focuses on urban real estate markets using econometric and machine learning methods. Key areas include automated valuation modelling (AVM), real estate investment vehicles, fund management, and location choice. He investigates the impact of teleworking on housing demand and the application of real options in real estate development. His work is interdisciplinary, combining urban economics, financial theory, and data science. Publication Trends: His recent publications (2022–2024) emphasize the effects of teleworking on housing markets, machine learning applications in real estate, and local housing market information systems. Earlier works focus on land value mapping, hurdle rates in investment, and the relationship between house prices and macroeconomic variables. His research consistently applies advanced quantitative techniques to real-world property market problems. Scientific Awards: Poster award for Semiparametric Estimation of Land Values, 2015 Aareal Award of Excellence in Real Estate Research, 2012 ARES Foundation Award, 2006 Deutsche Immobilien Akademie Research Prize for doctoral thesis, 2003 Advising and Grants: Dr. Schulz is currently accepting PhD students in Real Estate. He leads the compilation of the Aberdeen Housing Market Report, a knowledge exchange project with the Aberdeen Street Property Company (ASPC). While specific grants are not listed, his research is supported through institutional collaborations and publications in high-impact journals. Labs and Teams: He is affiliated with the Centre for Real Estate Research at the University of Aberdeen Business School. He collaborates with researchers at Humboldt University (Berlin) and participates in international research networks such as the Berlin Center for AI Research. His work involves interdisciplinary teams focusing on urban data, housing policy, and financial technology.
Brent Lagesse is an Associate Professor at the University of Washington - Bothell , affiliated with the Division of Computing & Software Systems under the School of Science, Technology, Engineering & Mathematics . His research focuses on security in emerging environments , particularly secure machine learning and privacy in sensor-rich systems . Ph.D. in Computer Science from the University of Texas at Arlington (2009) Research Interests include: Detecting and locating hidden webcams Scalable AI/ML defense mechanisms Privacy-preserving video sharing AI systems for air quality prediction Automated yeast cell analysis CRISPR/CAS9 guide-donor libraries Article Trends : Recent publications emphasize secure machine learning for smart city applications, privacy-preserving technologies , and resource-constrained security in crowdsensing environments . Collaborative work spans cybersecurity education , environmental monitoring , and context-aware systems . Scientific Awards : Cybersecurity Fulbright Scholar (University of Cambridge, 2018) Johann-von-Spix International Guest Professorship (University of Bamberg, 2019-20) Advising & Grants : Advises current research students Neil Prakasam and Nicholas Handaja NSA grant ($96k) for GenCyber curriculum development (2022) NSF grant ($300k) for AI-enhanced cybersecurity workforce studies (2021) T-Mobile grants for ML security metrics and dataset anonymization (2020-2022) Laboratory : Leads the Security of Emerging Environments (SEE) Lab , developing practical and theoretical frameworks for smart city security and privacy-preserving technologies .
