Dries Couckuyt is a researcher at CenSE, affiliated with Odisee. He holds a PhD in Applied Economic Sciences from Ghent University, where his doctoral research focused on integrating ecological sustainability into business process management performance metrics. After completing his PhD, he conducted a year of research at Waseda University in Tokyo, examining Japan's municipal sustainability policies. His current work centers on sustainable business operations and socio-economic sustainability. He is a member of the Business Studies Research Group and the CenSE research center. His primary workplace is Campus Brussel (Warmoesberg 26, 1000 Brussel). Research Interests: Dries specializes in aligning business processes with ecological and socio-economic sustainability goals. His work bridges traditional efficiency metrics (cost, quality, time, flexibility) with environmental stewardship, emphasizing practical applications in corporate and municipal contexts. Affiliations: Active at Odisee's Campuses Brussel and Aalst. Engaged in interdisciplinary research through CenSE, focusing on real-world sustainability challenges.
Prof. Dr.-Ing. Michael Möhring is a Professor of Data Science at Reutlingen University's Faculty of Informatics. He serves as Prodekan for the Herman Hollerith Zentrum (HHZ) and leads research in data analytics, Industry 4.0, and process mining. Previously, he held roles as an IT consultant, project manager at Bosch Group/BSH, and academic researcher. Education: Dr.-Ing. (PhD) in Business Informatics M.Sc. in Business Informatics B.Sc. in Business Informatics Research Interests: Focuses on leveraging structured/unstructured data for industrial applications, enterprise architecture management, digital twins integration, and AI-driven decision support. Specializes in bridging technical systems with organizational processes in manufacturing and service industries. Lab Affiliations: AI-Real Lab AIDA Future Mobility Lab Internet of Things Lab Virtual Reality Lab Articles Trends: Recent work emphasizes practical implementations of AI in production failure analysis (language models), energy optimization systems (HollerithEnergyML), and technical debt management in SMEs. Consistently explores data integration challenges across manufacturing, service ecosystems, and digital twin frameworks. Grants & Collaborations: Active in EU-funded projects like 5G-PreCiSe and bwHealthApp. Collaborates with industry partners on digital transformation initiatives through HHZ's applied research programs.
Jun.-Prof. Dr. Sylvia Hubner-Benz is an Assistant Professor of International Management at the University of Paderborn, leading the Management International Management department within the Faculty of Business Administration and Economics. Her research focuses on cross-cultural dynamics in entrepreneurship, innovation, and virtual teamwork, with projects like SeeHerTech addressing female visibility in high-tech sectors. She teaches core courses such as 'International Business' (BSc) and 'International Comparative Management' (MSc), emphasizing practical application and global perspectives. Research interests span international management, cultural diversity, and technology's role in entrepreneurship. She leads the BMBF-funded SeeHerTech project (2024–2027), developing AI tools to support female entrepreneurs' communication strategies. Collaborations include the Technical University of Munich and industry partners like coolnis and UFUNDI. Her teaching integrates real-world projects, such as the X-Culture program for intercultural virtual teams. She has published extensively on topics like robot leadership, entrepreneurial ethics, and gender stereotypes in recruitment. Current research explores human-AI collaboration, leadership behavior in robotics, and innovation in Asian business contexts. Grants include Federal Ministry of Education and Research (BMBF) funding for SeeHerTech. Her work bridges academic research with practical tools, aiming to enhance international teamwork and equity in tech industries.
Robert Verburg is an Associate Professor in Technology and Innovation Management at Delft University of Technology, Faculty of Technology, Policy and Management. He is affiliated with the Department of Values, Technology and Innovation and the Section of Economics of Technology and Innovation. He currently serves as the director of the international Master of Technology (MOT) program and teaches courses such as Leadership and Technology Management and strategic leadership for responsible innovation. His research focuses on leadership, managing people, knowledge management, and the future of management, with a strong emphasis on responsible innovation and sustainability. His work bridges qualitative and quantitative methodologies and has been published in leading management journals including the Journal of Management , Leadership Quarterly , and International Journal of Project Management . His recent publications explore organizational trust, innovation barriers in financial firms, virtual project management, and knowledge sharing networks. These works reflect consistent themes in responsible innovation, leadership in technological contexts, and strategic human resource practices. Associate Professor, TU Delft Director, MSc Management of Technology Researcher in Leadership & Innovation Robert Verburg has supervised over 100 Master’s thesis projects and has been involved in curriculum development for the MOT program. He leads an online course on strategic leadership for responsible innovation offered through KIVI. He has participated in the NWO project on Sustainable Business Models, a collaboration between Delft, Erasmus, and Leiden universities, focusing on transformational leadership and shared value measurement. He is affiliated with the research group on Economics of Technology and Innovation and contributes to advancing responsible innovation through both research and education. His work supports the integration of ethical, sustainable, and strategic leadership practices in technology-driven organizations.
Tushar Sharma is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, Canada. His research focuses on software engineering, particularly software quality, refactoring, technical debt, and the application of machine learning in software engineering (ML4SE). He leads the SMART Lab and is actively involved in projects related to Green AI and sustainable software development. PhD : Software Engineering, Athens University of Economics and Business, Greece (2019) MS : Computer Science, Indian Institute of Technology-Madras, India His research interests span software design and architecture, code and design quality, refactoring, technical debt, mining software repositories, and applied machine learning for software engineering. He is particularly interested in sustainable AI, green software engineering, and the use of large language models for code. His work bridges empirical studies with practical tool development to improve software maintainability and quality. His recent publications highlight a strong trend in code smell detection, refactoring automation, energy-aware AI, and the reliability of large language models in software engineering. He has developed tools like Designite and DPy and contributed datasets such as MaRV and DACOS, emphasizing empirical validation and reproducibility in software engineering research. Dean's Research Excellence Award Best Artifact Award, SCAM 2023 IEEE Senior Member Tushar Sharma has secured significant research funding, including an NSERC Discovery Grant for DevQOps, Mitacs Accelerate grants with industry partners, and contributions to the $154M Canada First Research Excellence Fund project. He actively mentors students and collaborates with industry. He leads the SMART Lab at Dalhousie and has organized workshops such as SATToSE 2018. He is also a founding developer of Designite, a widely used software design quality assessment tool.
Philip E. Protter is a Professor of Statistics at the Faculty of Arts and Sciences , Columbia University. He is affiliated with the Financial and Business Analytics Center and serves as an Adjunct Professor in related programs. His research spans Mathematical Finance (capital asset pricing, derivatives pricing, liquidity, financial bubbles, insider trading, high-frequency trading, credit risk) and stochastic processes (stochastic integration, SDEs, backward-forward SDEs, Markov processes, filtering theory). He has contributed to both theoretical and applied domains, including numerical methods for stochastic equations. Protter has authored or co-authored two textbooks and two research books . He has held editorial leadership roles, including Editor-in-Chief of Stochastic Processes and their Applications and associate editorships for nine journals. Scientific Awards : Fulbright Distinguished Chair (2007) at the University of Paris (Dauphine) Fellow of the Institute of Mathematical Statistics (IMS) Two "Best Teacher" awards Invited lectures: R. Von Mises (2007), Bullitt (2008), Lundis de la Connaissance (2009) He has been a visiting scholar at numerous institutions globally and maintains active collaborations in financial mathematics and stochastic analysis.
Harry Mamaysky is a Professor at Columbia Business School , where he directs the Program for Financial Studies and the MS program in Financial Economics. He also leads the Chief Investment Officer executive education program, teaching capital markets, asset pricing, and data analytics to MBA, Masters, and PhD students. Education: PhD in Finance (MIT), BS/MS in Computer Science (Brown University) His research spans empirical and theoretical asset pricing , market microstructure , and the interplay of information and trading. He pioneers methods integrating large textual datasets (e.g., news, earnings calls) with machine learning to analyze market dynamics, including the impacts of overnight news on returns and news-topic modeling . Recent publications focus on oil market forecasting, Federal Reserve policy, and the role of textual data in understanding regulatory costs , credit information , and macroeconomic stress . These works highlight cross-disciplinary methodologies bridging finance , economics , and data science . Harry’s industry experience includes founding Citigroup’s Systemic Risk Group, senior portfolio management at Citi Principal Strategies, and roles at Old Lane and Morgan Stanley. He also served as an Assistant Professor of Finance at the Yale School of Management (2000–02). He is affiliated with the Financial and Business Analytics Committee , emphasizing interdisciplinary collaboration in financial research.
Prof. Dr. Nicki Marquardt is a Professor of Industrial and Organizational Psychology at the Rhine-Waal University of Applied Sciences , affiliated with the Faculty of Communication and Environment at the Kamp-Lintfort Campus. He has been in this role since 2010 and has played a key role in developing both the Bachelor's program in Industrial and Organizational Psychology and the English-taught Master's program in International Management and Psychology. His research and professional work focus on: Human error and error prevention Situational awareness Crew Resource Management (CRM) Safety culture Implicit cognition Business ethics He investigates how unconscious mental processes influence ethical decision-making and organizational safety, particularly in high-risk industries such as aviation, automotive, and healthcare. His recent publications highlight trends in safety culture transformation, mental readiness under stress, and the adaptation of CRM training across sectors. His work bridges experimental psychology with practical organizational interventions, emphasizing measurable improvements in human performance and safety. He has received his doctorate from Leuphana University of Lüneburg in 2009 on the topic of unconscious processes in ethical management decisions and previously contributed to research at the Institute for Experimental Business Psychology (LüneLab). He has also worked as an independent consultant, trainer, and researcher in human factors and safety culture. Prof. Marquardt actively presents at international conferences and publishes in peer-reviewed journals such as Human Factors and Ergonomics in Manufacturing & Service Industries and Journal of Business Ethics . He supports international companies in applying psychological insights to enhance performance and transform organizational cultures.
Professor Angelika Krehl serves as Professor for Economics, regional and sectoral structural policy and Director of the NIERS Institute (Lower Rhine Institute for Regional and Structural Research) at Niederrhein University of Applied Sciences since 2020. Her academic leadership spans regional economics, urban spatial structure analysis, and sustainability research within the Department of Economics. Her research focuses on theoretical foundations and empirical analysis methods of urban spatial structures, regional economics, economic geography, and GIS-based regional research with emphasis on sustainability aspects. Key methodologies include polycentricity measurement, density pattern analysis, and integrated spatial modeling using remote sensing data. Her work bridges urban morphology with economic development processes. Recent publications reveal strong trends in polycentric urban systems analysis, corporate regional responsibility frameworks, and sustainable land use economics. Over 70% of her recent work examines German metropolitan regions through morphological polycentricity lenses, with increasing focus on sustainability transitions and social innovation mechanisms since 2020. Methodological innovation in GIS integration and spatial metrics development characterizes her publication trajectory. Professor Krehl leads multiple major research initiatives including RediStar (diversity-sensitive startup funding), AUFBRUCH (sustainable bioeconomy transformation), R(h)einTex (textile recycling innovation), and R³ (corporate regional responsibility). Her institutional leadership extends to directing NIERS Institute and serving on the university's Advisory Board for Research and Transfer. As Director of NIERS Institute, she oversees collaborative research teams focused on regional structural policy, with particular emphasis on lignite phase-out governance, sustainable learning projects, and regional innovation ecosystems. Her work integrates academic research with practical policy implementation through close partnerships with regional stakeholders.
Peter Breunig is a Professor at the University of Applied Sciences Weihenstephan-Triesdorf (HSWT), working within the Department of Agriculture, Food, and Nutrition. His academic focus centers on agricultural marketing, market theory, and sustainable food systems. As Coordinator specializing in "Marketing and Management in Agribusiness" and Public Relations lead for the Agriculture department, he plays a significant role in shaping the institution's engagement with industry and the public. His educational expertise is reflected in his comprehensive teaching portfolio covering: Agricultural markets Fundamentals of Agricultural Marketing Marketing and Management of Regional Value Chains (Master) Market theory and market policy Regional marketing Strategies of International Agricultural Marketing (Master) Processes and economics of crop/animal production Professor Breunig's research bridges theoretical market concepts with practical applications in agriculture, with particular emphasis on sustainability transitions. His work demonstrates strong interdisciplinary collaboration across agricultural economics, food science, environmental studies, and technology fields. Recent publications reveal a clear trend toward addressing sustainability challenges in food systems, particularly regarding consumer acceptance of alternative proteins, climate impacts of agricultural practices, and digital transformation in agriculture. Among his notable scientific contributions are studies on: Media portrayal of new genetic technologies in agriculture Consumer acceptance of animal-free dairy products Climate change mitigation potentials in agricultural systems Digital transformation frameworks for agricultural ecosystems Professor Breunig has supervised numerous master's theses across diverse topics in agricultural marketing and management, and currently mentors doctoral candidates including Tanja Strobel-Unbehaun and Hanno Koßmann. His research projects include "Mastering opportunities yourself - scouting, career guidance and key qualifications in Agriculture" where he serves as project lead, demonstrating his commitment to developing future agricultural professionals.
Raghu Garud is the Alvin H. Clemens Professor of Entrepreneurial Studies in the Department of Management and Organization at the Smeal College of Business, Pennsylvania State University. He is an active researcher in the fields of entrepreneurship, innovation, and organizational theory. His research focuses on the emergence of novelty , exploring how new ideas are generated, valued, and commercialized. Key areas include entrepreneurial framing , digital innovation , organizational innovation , and technological design . He employs process-based and narrative approaches to understand innovation dynamics in contexts such as platform-based ventures, regional regeneration, and identity-challenging technologies. Recent publications reveal a strong trend toward understanding legitimacy , institutional categorization , and performative processes in innovation. His work spans comparative studies (e.g., e-cigarettes in US vs UK), in-depth case analyses (e.g., Uber, Gmail), and conceptual advancements in entrepreneurial framing and performativity. Collaborators include Y. Snihur, L. D. W. Thomas, N. Phillips, J. Gehman, and T. Tharchen. His research has appeared in top journals such as Academy of Management Review , Strategic Organization , Journal of Business Venturing , and Strategic Management Journal . While no formal awards are listed in the provided text, his sustained publication record in premier outlets and named professorship indicate significant scholarly recognition. He advises graduate students and collaborates on projects related to innovation and entrepreneurship, though specific advisees are not listed. Garud's work is associated with research on digital platforms, regional innovation ecosystems, and the cultural dimensions of entrepreneurship. He contributes to ongoing scholarly conversations on the processual nature of innovation and the role of narrative and design in entrepreneurial success.
Professor Hannah Lowe is a faculty member in the Department of English and Creative Writing at Brunel University, affiliated with the College of Business, Arts and Social Sciences. Her academic work bridges creative writing, memory studies, and postcolonial studies, focusing on British multicultural society and its ties to the Caribbean and China. PhD in Creative Writing, Newcastle University (AHRC-funded) MA in Refugee Studies, University of East London BA (hons) in American Literature, University of Sussex PGCE Post-Compulsory Education Hannah's research centers on contemporary poetry, life writing, and narratives of migration and diaspora. She explores postwar Caribbean arrival to Britain, representations of migration in literature, and the creative process in digital contexts. Her work often intertwines personal and historical narratives, particularly examining Chinese settlement in the UK and the Windrush legacy. Hannah's publications include books like The Kids (2021) and journal articles such as "In the Frame: Women Writers and the Windrush Legacy" (2018). These works emphasize themes of cultural identity, historical memory, and diaspora experiences. 2024 Eccles Centre-Hay Festival Writers Award 2021 Costa Poetry Award 2021 Costa Book Award Fellow of the Higher Education Academy Fellow of the Royal Society of Literature Hannah supervises PhD students in creative writing, particularly poetry and life writing. She has received grants like the AHRC funding for her doctoral research and participates in networks such as the Chinese-Caribbean Studies Network.
Jilles Vreeken is a Professor of Computer Science at Saarland University and tenured faculty at the CISPA Helmholtz Center for Information Security, where he leads the Exploratory Data Analysis research group. He is also an ELLIS Fellow and Faculty of the Saarbrücken Unit on AI and ML. His work bridges theoretical foundations with practical applications in causal inference, unsupervised learning, and exploratory data analysis. Dr. Vreeken's research focuses on developing theory and algorithms for answering fundamentally exploratory questions about data: "what is going on in my data?", "what causes what and how?", and "what can we learn from this model?" without making unnecessary or unjustified assumptions. He takes a principled approach based on information theory to identify what is worth knowing, then develops efficient algorithms for extracting useful interpretable results. His work spans causal inference under realistic conditions (including hidden confounding, selection bias, and non-i.i.d. data), summarizing complex data and models in understandable terms, and combining these threads to create more robust and useful models across diverse data types. His recent publications demonstrate a strong trend toward causal discovery in increasingly realistic settings, including non-stationary time series, event sequences, and scenarios with hidden confounders. He has made significant contributions to federated learning, interpretable machine learning, and pattern mining. His work consistently applies information-theoretic principles to develop methods that are both theoretically sound and practically useful for extracting insights from complex data. Dr. Vreeken has received numerous prestigious awards including: IEEE ICDM'18 Tao Li Award for Excellence in Research IEEE ICDM'18 Best Paper Award UdS-CS'15 Busy Beaver Teaching Award ACM SIGKDD'11 Best Student Paper Award ACM SIGKDD'10 Doctoral Dissertation Runner-Up Award ECML PKDD'09 Best Student Paper Award As an advisor, Dr. Vreeken has mentored numerous doctoral researchers to completion, including Dr. Osman Ali Mian, Dr. David Kaltenpoth, Dr. Boris Wiegand, Dr. Sebastian Dalleiger, Dr. Janis Kalofolias, Dr. Jonas Fischer, Dr. Alexander Marx, Dr. Panagiotis Mandros, Dr. Kailash Budhathoki, Dr. Roel Bertens, Dr. Koen Smets, and Dr. Michael Mampaey. He has secured significant research funding as PI for multiple projects including "AI for Prediction and Therapy Guidance in Acute Stroke" (HAICU, 2025-2028), "Neuro-Explicit Models of Language, Vision and Action" (RTG, DFG, 2023-2028), and "Crushing Antimicrobial Resistance using Explainable AI" (HAICU, 2021-2024). Dr. Vreeken leads the Exploratory Data Analysis (EDA) research group at CISPA, which focuses on developing theory and algorithms for discovering novel insights from data, learning inherently interpretable models, and drawing reliable causal conclusions. The group has produced numerous influential algorithms and frameworks in causal inference, pattern mining, and exploratory data analysis, with applications spanning healthcare, materials science, and cybersecurity.
Martin Schreier is a Professor and head of the Institute for Marketing Management at the Vienna University of Economics and Business (WU). His research focuses on marketing, product development, consumer behavior, and user-driven innovation. A key finding from his work demonstrates that crowdsourced product ideas yield higher sales and gross margins compared to designer-generated products, as evidenced by a Japanese enterprise study showing €10 million revenue growth over three years. His studies also highlight how labeling products as user-ideated enhances consumer trust and sales performance. Schreier's research spans diverse topics, including the psychological drivers of customization, blockchain applications in marketing, and the role of consumer communities in innovation. Recent studies examine generative AI in luxury product co-creation, groundedness in retail experiences, and ethical implications of crowdsourcing. His work bridges academic insights with real-world applications, advising companies on leveraging user creativity and designing effective innovation incentives. He has published extensively on the economic and psychological impacts of consumer-driven innovation, with a focus on cross-cultural differences and market-specific strategies. His findings challenge traditional R&D models, emphasizing the commercial potential of user participation in product development across non-luxury sectors.
Matti Minkkinen is a Docent at the Turku School of Economics (University of Turku) and a Postdoctoral Researcher in Information Systems Science at the Department of Management and Entrepreneurship. His work bridges futures studies with ethics, privacy, and socio-technical systems in digital transformation. Recent roles focus on responsible AI governance and foresight methodologies. University: University of Turku School: Turku School of Economics Department: Department of Management and Entrepreneurship His research explores how digital technologies reshape organizational practices, emphasizing Futures Consciousness as a human capacity. Key themes include responsible AI , privacy protection , and causal layered analysis in scenario planning. Publications highlight ethical governance frameworks and EU policy debates. Recent articles address generative AI ethics , ML system integration , and AI auditing across journals like Communications of the Association for Information Systems and Information and Management . Topics cluster around socio-technical systems, digital ethics, and institutional adaptation to AI. Teaching and editorial roles include co-curating student research collections at Finland Futures Research Centre. No explicit scientific awards are listed, but his work contributes to foresight theory and practice.
