جست‌وجوی استاد و پژوهشگر

Mél Hoganمشاهده پروفایل

دانشیار

• Critical Data Studies
• Environmental Humanities
• Media Studies
• +۴ مورد دیگر

Mél Hogan is an Associate Professor in the Department of Film and Media at Queen's University and host of The Data Fix podcast. She serves as MA/PhD supervisor within her department, though currently not accepting new students while remaining available for supervisory committees and exams via Zoom. Her research critically examines the environmental impacts of data infrastructures through environmental humanities, critical data studies, and science and technology studies (STS). She employs qualitative, research-creation, and ethnographic methods to investigate data centers, archival theory, and elemental media, with particular focus on how digital technologies intersect with climate crisis and ecological systems. Her work bridges media studies with environmental concerns, emphasizing cultural, social, and historical dimensions of technology. Recent publications (2022-2025) reveal consistent thematic evolution toward data center ecologies, climate-tech intersections, and materialities of digital storage. Key trends include solastalgia (environmental distress) in cloud computing, archival responses to extinction, and critical examinations of AI's environmental costs. Her scholarship demonstrates increasing interdisciplinary reach across media archaeology, environmental humanities, and critical infrastructure studies. Dr. Hogan actively supervises graduate students with interdisciplinary projects using qualitative methods in communication/media studies, environmental humanities, and critical theory. She explicitly notes unsuitability for technical problem-solving projects or quantitative social science approaches, emphasizing her preference for critical-humanistic perspectives on data, media, and technology. Her advising philosophy centers on collaborative exploration of environmental impacts within data infrastructures.

Joseph Allenمشاهده پروفایل

استاد

• Organizational Psychology
• Occupational Health Psychology
• Workplace Safety
• +۳ مورد دیگر

Joseph Allen is a Professor in the Division of Occupational and Environmental Health at the University of Utah and serves as Director of the Rocky Mountain Center for Occupational and Environmental Health (RMCOEH). He also directs the Center for Meeting Effectiveness (CME) and the Occupational Health Psychology program, integrating research, education, and service to apply organizational psychology principles to workplace safety and collaboration. Dr. Allen's research centers on organizational psychology as applied to occupational health, investigating how psychological principles enhance workplace collaboration through effective meetings and the interplay between safety procedures and mental health. His work addresses burnout, engagement, and safety climate in high-risk professions including firefighting, law enforcement, and construction, with a focus on translating research into practical solutions for worker well-being. His recent publications (2023-2025) reveal a strong emphasis on meeting science, safety climate, and mental health across diverse occupations. Key trends include the meeting load paradox, safety climate dynamics in emergency services, and mental health challenges in legal professions, demonstrating interdisciplinary reach from organizational behavior to public health with consistent practical applications. No scientific awards were mentioned in the provided text. As director of RMCOEH graduate programs, Dr. Allen has implemented innovative recruiting and advising practices that increased enrollment during the pandemic. He has consulted for over 350 organizations on meeting effectiveness, though specific grant funding details are not provided in the source material. Dr. Allen directs the Center for Meeting Effectiveness (CME), housed within RMCOEH, which serves as a research and consultation hub focused on optimizing meeting practices to enhance team performance and collaboration across nonprofit and for-profit sectors.

Zhicheng Jiمشاهده پروفایل

استادیار

• Biostatistics
• Bioinformatics
• Single-cell RNA sequencing
• +۵ مورد دیگر

Zhicheng Ji is an Assistant Professor of Biostatistics & Bioinformatics at Duke University, affiliated with the Division of Integrative Genomics. His research focuses on developing computational methods for single-cell RNA-seq , spatial transcriptomics , and genomic data analysis . He teaches courses like BIOSTAT 824: Case Studies in Biomedical Data Science . Research Highlights : Statistical modeling of microbiome data Machine learning for cell segmentation T cell immunology in cancer Multi-omics data integration Spatially variable gene detection Foundation models for epigenetics Scientific Awards : NIGMS Grant (2024-2029) for spatial transcriptomics NIEHS Grant (2023-2028) on PFAS exposure NSF ERC PreMiEr (2022-2027) NCI Grant (2022-2027) on ferroptosis

Seung Yeoun Leeمشاهده پروفایل

استاد

• Survival Analysis
• Gene-Gene Interactions
• Clinical Trials
• +۳ مورد دیگر

Seung Yeoun Lee is a Professor in the Department of Mathematics and Statistics at Sejong University, where he has been faculty since 1993. His research focuses on applying advanced statistical methodologies to biomedical problems, particularly in cancer research and survival analysis. He serves as Vice President of the Korean Statistical Society and previously served as President of the International Biometric Society Korean Region from 2016-2017. Education: Ph.D. in Statistics, University of Michigan (1990) M.S. in Statistics, Seoul National University (1986) B.S. in Statistics, Seoul National University (1984) Professor Lee's research primarily centers on survival analysis methodologies and their applications in biomedical research, with a particular emphasis on gene-gene interactions and clinical trial statistics. He has pioneered innovative approaches including the Cox model based unified MDR method for gene-gene interaction analysis for survival phenotypes. His work bridges mathematical statistics with practical medical applications, particularly in pancreatic cancer diagnostics and prognostics. The fingerprint analysis of his work shows strong connections to Dimensionality Reduction (94%), Pancreas Cancer research (89%), and Gene Interaction studies (64%). His recent publications demonstrate a clear trend toward interdisciplinary research combining traditional biostatistical methods with modern machine learning approaches. Many papers focus on survival prediction models, dimensionality reduction techniques, and applications to pancreatic cancer research. His work consistently involves international collaborations across statistics, oncology, and computational biology fields, reflecting the highly interdisciplinary nature of modern biomedical research. Professor Lee has made substantial contributions to biostatistical methodology with an h-index of 22, reflecting the impact of his 89 research publications. His work contributes to UN Sustainable Development Goals related to good health and well-being through advanced statistical approaches to medical research. His research group focuses on developing and applying advanced statistical methods to solve complex biomedical problems, with particular emphasis on cancer research and survival analysis. The interdisciplinary nature of his work suggests extensive collaborations with medical researchers, oncologists, and computational biologists across multiple institutions.

Laura Poppoمشاهده پروفایل

استاد

• Strategic Management
• Organizational Trust
• Contract Theory
• +۵ مورد دیگر

Laura Poppo, currently the Donald and Shirley Clifton Chair in Leadership at the University of Nebraska-Lincoln, has held faculty positions at Washington University, Virginia Tech, and the University of Kansas. Her research in strategic management influences diverse disciplines, with over 8900 Google citations. Academic Rank: Professor Department: Management Alma Mater: Ph.D. from Wharton School, University of Pennsylvania Her research focuses on outsourcing, alliances, vertical integration, contracting, trust , and business dynamics in China. Current work explores problem-solving, creativity, innovation, identity, and trust-repair in organizational contexts. Notable contributions include publications in top journals like Strategic Management Journal , Organization Science , and Journal of International Business Studies . Her 2019 Dan and Mary Lou Schendel Best Paper Prize recognizes her impactful research on contract and trust complementarity. In teaching, she applies empirically validated frameworks to enhance decision-making for undergraduates, graduates, and professionals, evidenced by the student-voted Bubb Award. Her expertise spans strategic planning, complex problem-solving, and CliftonStrengths®-based leadership development.

Mehtaab Sawhneyمشاهده پروفایل

استادیار

• combinatorics
• probability
• analytic number theory
• +۱ مورد دیگر

Mehtaab Sawhney is a Clay Research Fellow and a tenure-track assistant professor at Columbia University specializing in combinatorics, probability, analytic number theory, and theoretical computer science. His academic journey began at the University of Pennsylvania where he enrolled in a Bachelor of Engineering in Computer Science (2016-2017), then continued at MIT where he earned a Bachelor of Science in Mathematics with Minor in Computer Science (2017-2020), followed by a Doctor of Philosophy in Mathematics (2020-2024) under the advisorship of Yufei Zhao. His research spans probabilistic combinatorics, random matrix theory, additive number theory, and theoretical computer science. Sawhney's work bridges theoretical mathematics with computational applications, focusing on random structures, additive combinatorics, and spectral properties of discrete objects. His publications demonstrate a strong interdisciplinary approach that connects number theory with probabilistic methods to solve complex combinatorial problems. The analysis of his publication record reveals a consistent focus on foundational mathematical structures with applications across multiple domains. His work on random graphs, additive bases, and arithmetic progressions has established him as a leading researcher in modern combinatorics, often collaborating with prominent mathematicians including Ashwin Sah, Yufei Zhao, and Vishesh Jain. His research output shows remarkable depth and breadth, with contributions to both pure mathematics and theoretical computer science. 2024 Clay Research Fellow 2021 Frank and Brennie Morgan Prize for Outstanding Research in Mathematics by an Undergraduate Student (joint with Ashwin Sah) Churchill Scholar 2020 Best Student Paper STOC 2021 (Joint with Ryan Alweiss, Yang Liu) Best Student Paper ITCS 2022 (Joint with Yang Liu, Ashwin Sah) 2023 Hartley Rogers Jr. Prize 2022 Charles W. and Jennifer C. Johnson Prize (joint with Ashwin Sah) NSF Graduate Fellowship Sawhney has established a robust research program with significant contributions across multiple mathematical disciplines. His frequent collaborations with top researchers worldwide indicate an active and influential research network. While specific advisees aren't listed in available information, his extensive publication record with numerous co-authors suggests active mentorship of junior researchers through collaborative projects.

Stephanie Lansingمشاهده پروفایل

استاد

• Renewable Energy
• Anaerobic Digestion
• Bioplastic Formation
• +۶ مورد دیگر

Dr. Stephanie Lansing is a Professor in the Department of Environmental Science & Technology at the University of Maryland's College of Agriculture and Natural Resources. She directs the Bioenergy and Biotechnology Lab, focusing on renewable energy systems, waste treatment, and the Food-Energy-Water Nexus. Her work spans ecological engineering, antimicrobial resistance mitigation, and sustainable bioplastic production from organic waste. College of Agriculture and Natural Resources Environmental Science & Technology Bioenergy and Biotechnology Lab Her research integrates anaerobic digestion , microbial fuel cells , and nutrient recovery to address global sustainability challenges. Recent projects examine bioplastic formation from food waste and AMR dynamics in manure systems , with fieldwork in the US, Africa, and Latin America. She co-developed the NourishNet platform combining real-time surplus food distribution ( FoodLoops ) with spoilage detection ( Quantum Nose ). Active grants exceed $6 million, including two major DOE awards for biofuel and bioplastic production from food waste. Her lab collaborates with institutions like Virginia Tech, Idaho National Laboratory, and international partners. Current team members include PhD candidates Maureen Nabulime and Adanyro Atilago, MS student Rafian Aziz, and undergrad researchers exploring waste-to-energy systems.

• Landscape Performance Evaluation
• Evidence-Based Design
• Urban Agriculture
• +۴ مورد دیگر

Dr. Hanley Chen serves as a Lecturer at Lincoln University's School of Landscape Architecture, specializing in Landscape Performance Evaluation and Evidence-Based Design to enhance landscape architecture practices and communicate project value. His work bridges peri-urban planning, urban agriculture, and ecosystem services while integrating AI into design processes. His academic credentials include: PhD from Lincoln University, Lincoln, New Zealand BLA (Hons) from Lincoln University, Lincoln, New Zealand BSc (Horticulture) from Jilin Agricultural University, Changchun, China Chen's research focuses on quantifying landscape performance through peri-urban planning, urban agriculture, and foodscapes, with strong emphasis on community gardens, healthy cities, and integrated green-grey infrastructure. His evidence-based approach examines how design impacts social equity, climate resilience, and sustainable urban development, particularly in Aotearoa New Zealand contexts like Christchurch and Canterbury. Analysis of his 21 publications reveals consistent thematic clustering around peri-urban landscapes (65%), urban agriculture (50%), and performance evaluation frameworks (45%), with recent work exploring AI's transformative potential in design workflows. Over 70% of his studies employ case-based methodologies in New Zealand, emphasizing community engagement and practical implementation. He actively supervises three PhD candidates researching community gardens' role in vulnerable communities, landscape architecture's impact on garden success, and green-grey infrastructure retrofitting. As Deputy Undergraduate Programme Coordinator (2024-present) and Lincoln University Human Ethics Committee member (2023-present), he contributes to academic governance while maintaining industry engagement through technical consulting and media appearances. Chen collaborates extensively with researchers like Davis S, Bowring J, and Charters SM on projects including 'Peri-Urban Potential,' focusing on integrated land-use solutions that balance production and community needs in transitional urban zones.

• Optimisation
• Artificial Intelligence
• Machine Learning
• +۲ مورد دیگر

Dr. Thao Duong serves as a Senior Lecturer at the School of Information Technology, Murdoch University, where she contributes to both teaching and research in computer science with a focus on computational problem-solving methodologies. Education Background Ph.D. in Computer Science from Griffith University, Queensland Research Expertise Her work centers on optimisation (particularly combinatorial optimisation and satisfiability problems), artificial intelligence , and machine learning , with significant contributions to data science and data analytics . Dr. Duong develops advanced algorithms for complex decision-making systems, bridging theoretical computer science with practical applications in data engineering. Professional Recognition Best paper award at the Australasian Joint Conference on Artificial Intelligence (2013) Academic Contributions She maintains an active publication record in premier venues including AAAI, IJCAI, and EJOR, though specific student supervision details and grant funding information are not documented in available sources. No current laboratory affiliations or collaborative research teams are explicitly referenced in her professional profile.

Maria Argyriouمشاهده پروفایل

مدرس

• Music Education
• Cultural Policy
• Early Childhood Education
• +۴ مورد دیگر

Maria Argyriou is an Associate Lecturer for Applied Music Preschool Education in the Department of Preschool Education & Educational Design at the School of Humanities, University of the Aegean (Rhodes, Greece). She holds a postdoctoral degree in Practical Aspects and Praxial Philosophy of Music Education from the same institution, a PhD in Music Studies from Ionian University specializing in cultural policy and music education, and two Master's degrees in Education from The Open University of Greece. PhD: Department of Music Studies, Ionian University (specializing in cultural policy and music education) Postdoctoral Degree: Practical Aspects and Praxial Philosophy of Music Education, University of the Aegean Master of Education: The Open University of Greece Second Master in Education: Specialization in education leadership and school unit assessment Argyriou's research focuses on the intersection of music education, cultural policy, and early childhood development. Her work explores praxial philosophy in music education, interdisciplinary connections between music and other subjects (particularly language and mathematics), and innovative approaches to music teaching in preschool settings. She has developed significant contributions to understanding how music can serve as a tool for cognitive development, emotional expression, and cultural citizenship in young children. Her recent publications demonstrate a clear trend toward multimodal and technology-enhanced music education approaches, with increasing focus on praxial philosophy applications in digital learning environments. Her work consistently bridges theoretical frameworks with practical classroom applications, particularly in early childhood settings. Scientific Awards: Kiveli-Y. Horn scholarships/Special Grants 2024 for archival research at The Music Library of Greece—Lilian Voudouri Argyriou actively participates in multiple professional organizations including the International Society of Music Education (member of SIG Practice and Research Group in Integrated Music Education, PRIME), European Music Council (EMC), European Association for Music in School (EAS), and serves as chairperson of the Greek Association of Primary Music Education Teachers (GAPMET). She has made significant contributions to educational materials as author of official Greek Music Education textbooks for School-Age 6-8 and as editor for multiple academic journals. She co-edits the open-access 'Hellenic Journal of Music, Education, and Culture' (HeJMEC) and serves as editor for the open-access journal 'Music in the First Grade' published by her department. Her current research focuses on archival work with children's songs from the Minos Dounias collection at The Music Library of Greece.

• Wavelets and Frames
• Harmonic and Functional Analysis
• Fractal Geometry
• +۳ مورد دیگر

Peter Massopust is a Privatdozent at the Technical University of Munich (TUM), where he is affiliated with the School of Computation, Information and Technology and the Department of Mathematics. His research spans multiple areas of mathematical analysis with a focus on fractal geometry, wavelet theory, and approximation methods. His educational background includes: Habilitation in 2011 from Technical University of Munich Ph.D. in Applied Mathematics from Georgia Institute of Technology (1986) MS in Mathematics from Georgia Institute of Technology (1985) MS in Physics from Georgia Institute of Technology (1981) Dr. Massopust's research interests primarily focus on Wavelets and Frames, Harmonic and Functional Analysis, Fractal Geometry and Fractal Interpolation Theory, and Splines and Approximation Theory. His work bridges theoretical mathematics with practical applications in signal processing, image analysis, and computational methods. His approach often combines classical mathematical techniques with innovative fractal-based methods to solve complex problems in approximation theory and functional analysis. His research has significantly contributed to the development of fractal interpolation functions, complex splines, and wavelet theory, with applications spanning from pure mathematics to engineering problems. His publication record demonstrates a consistent focus on fractal-based mathematical methods, with recent work expanding into quaternionic analysis, complex B-splines, and applications in signal processing. His research shows a clear trajectory from foundational work in fractal geometry to increasingly sophisticated applications in multidimensional signal analysis and computational mathematics. His scientific achievements have been recognized through several prestigious awards: Fulbright Scholarship (1980-1981) GIAN (Global Initiative for Academic Network) Award from the Republic of India (2016, 2017) Dr. Massopust has secured substantial research funding from various national and international sources, including the German Research Foundation (DFG), Bayerische Forschungsallianz, VolkswagenStiftung, and collaborations with Sandia National Laboratories and the National Science Foundation. His research program has consistently focused on advancing mathematical methods for signal and image processing, with particular emphasis on fractal-based approaches and wavelet theory. He has also been instrumental in fostering international collaborations, particularly through the EuroTech network and with institutions in Australia and India. Among his notable contributions is the GHM (Geronimo-Hardin-Massopust) Scaling Vector and DGHM (Donovan-Geronimo-Hardin-Massopust) Multiwavelet, developed at the Georgia Tech Research Institute in 1995. This work has had significant impact in the field of wavelet analysis and its applications.

Andreas Hoppermannمشاهده پروفایل

استاد

• Product Development
• Design Methodology
• Fluid Power Engineering
• +۱ مورد دیگر

Prof. Dr.-Ing. Andreas Hoppermann serves as Professor of Design Theory at Niederrhein University of Applied Sciences within the Department of Engineering and Computer Science since 2009. He leads the Fluid Power and Tribology Laboratory, conducting research at the intersection of mechanical product development and tribological systems. His academic foundation includes a Mechanical Engineering degree and doctorate from RWTH Aachen University, where his dissertation investigated surface design and material selection for hydraulic components. Prior to academia, he worked as a research group leader in tribology at RWTH Aachen and as a project-leading development engineer at Voith Paper. Hoppermann's research centers on product development , design methodology , fluid power engineering , and tribology , with emphasis on technical product optimization, test rig development, and tribological phenomena in industrial applications. His work bridges theoretical modeling with experimental validation in hydrostatic bearing systems and fluid power components. Recent publications demonstrate a concentrated focus on grease-lubricated hydrostatic bearings, exploring non-Newtonian fluid behavior, pressure distribution, and control concepts. This research trajectory reflects growing industrial demand for efficient, maintenance-friendly bearing solutions in mobile machinery and automotive systems. His scientific recognition includes the prestigious Borchers-Plakette award from RWTH Aachen. Borchers-Plakette With over 100 supervised master's theses from 2009-2026, Hoppermann has guided research on hydraulic system optimization, tribological contact analysis, and mechanical design innovations. His BMBF-funded "Stahl-Schnecke" project advanced steel-based worm gear technology as bronze alternatives. Current research focuses on hydrostatic bearing performance and tribological testing methodologies. The Fluid Power and Tribology Laboratory provides experimental facilities for student projects and industry collaborations, featuring test rigs for hydrostatic bearings, tribological contacts, and fluid power systems. This infrastructure supports Hoppermann's applied research approach connecting academic inquiry with industrial problem-solving.

Dongdong Sheمشاهده پروفایل

استادیار

• Security
• Machine Learning
• Fuzzing
• +۳ مورد دیگر

Dongdong She is an Assistant Professor in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST). His research focuses on the intersection of security and machine learning, applying data-driven approaches to solve security problems. He has established himself as a prominent researcher in software security and fuzzing techniques with publications in top conferences including IEEE S&P, CCS, and USENIX Security. Dr. She received his Ph.D. from Columbia University's Department of Computer Science, where he worked with Professors Suman Jana and Baishakhi Ray. Prior to Columbia, he conducted research with Zhiyun Qian on Android Security at the University of California, Riverside. He completed his undergraduate studies at Huazhong University of Science and Technology. His research spans two main areas: LLM Security, which investigates the security of large language models and LLM-powered systems, and LLM for Traditional Security, which leverages LLMs to solve traditional security problems such as program analysis and vulnerability discovery. His work often combines machine learning techniques with traditional security approaches to develop innovative solutions for software security challenges. Dr. She's publication record shows a consistent evolution from foundational work in neural network-assisted fuzzing (NEUZZ) toward more advanced applications in LLM security and program analysis, demonstrating both theoretical rigor and practical impact with techniques adopted by the security community. Among his notable achievements: Distinguished Paper Award at ISSTA 2025 Distinguished Paper Award at IEEE S&P 2025 Best Paper Award Runner-Up at CCS 2022 Second Place in SBFT 2024 Fuzzing Competition Finalist in 2019 NYU CSAW Applied Research Competition Dr. She currently advises several Ph.D. students including Yuchong Xie, Shuangjie Yao, and Qiao Zhang, who began their studies in Fall 2024. He serves on program committees for major conferences including ASE 2025, where he is a PC Member for the Research Papers track. His research is supported by grants enabling his team to pursue innovative approaches at the intersection of machine learning and security. His research group maintains active collaborations with institutions worldwide and contributes to open-source security tools that are widely used in both academia and industry, with a particular focus on developing advanced techniques for software security analysis through the application of machine learning.

Manfred Schochمشاهده پروفایل

استاد

• Digital Workplace
• IT Enterprise Architecture
• Strategic IT Management
• +۳ مورد دیگر

Prof. Dr. Manfred Schoch serves as Professor of Business Informatics at Esslingen University of Applied Sciences' Faculty of Computer Science and Information Technology. He concurrently holds leadership roles at Fraunhofer FIT's Business Informatics branch and directs the FIM Research Institute for Information Management. His career bridges academic research with industrial digital transformation projects across sectors including transportation, finance, and manufacturing. His educational foundation includes: Summa cum laude doctorate from University of Hohenheim focusing on digital workplace communication technologies M.Sc. in Information-Oriented Business Administration and B.Sc. in Business Informatics from University of Augsburg Academic exchange at University of Pittsburgh's Joseph M. Katz Graduate School of Business Prof. Schoch's research centers on three interconnected domains: technology implementation in digital workplaces, strategic IT management and enterprise architecture, and data-driven workflow automation. He employs mixed-method approaches combining quantitative network/survey analysis with qualitative interview techniques to examine technology's organizational impact. Recent work investigates pandemic-driven remote work adaptations, AI integration challenges, and behavior change support systems for workplace stress management. His publication trajectory (2022-2025) reveals intensifying focus on generative AI applications, digital workplace resilience, and ethical technology adoption. Key themes include human-AI collaboration models, technostress mitigation, and CSR-guided digitalization. His work appears in premier venues like European Journal of Information Systems and ICIS proceedings. Professional recognition includes: Hohenheim Teaching Prize (2022) for innovative digital management pedagogy He actively supervises student theses through industry-collaborative projects with companies including DB Fernverkehr and Allianz. His research funding stems from Bavarian consortium initiatives like ForDigitHealth and international partnerships with MIT and Microsoft Research. Current grants focus on sustainable hybrid work models and AI-enhanced decision systems. As FIM Research Institute director, he leads cross-disciplinary teams developing practical digital transformation frameworks. The institute maintains strong industry connections through its Digital Leadership Academy and applied consulting projects addressing real-world challenges in workflow automation and IT-business alignment.

Stijn Viaeneمشاهده پروفایل

استاد

• Digital Transformation
• Business Process Management
• IT Management
• +۳ مورد دیگر

Stijn Viaene is a Full Professor at KU Leuven and Partner at Vlerick Business School, specializing in digital transformation, IT management, and business process innovation. He holds a Doctorate in Information Systems Management from KU Leuven and serves as Programme Director of Take The Lead. His research focuses on leveraging technology (big data, AI, blockchain) for enterprise digitalization, with a strong emphasis on leadership, agility, and business-IT alignment. He is the author of Digital Transformation Know How: Connecting digital transformation, agility and leadership and teaches across MBA, Executive Development, and Digital Leadership programs. Recent work explores AI-driven leadership, blockchain platforms for sustainability, and intra-organizational labor platforms. He also serves as Jury President for the Data News Awards and Board Member at Herita vzw. Education: Doctor in Information Systems Management (KU Leuven). Research interests include digital innovation ecosystems, process management, and governance frameworks for digital value creation. His articles address topics such as ambidextrous ERP systems, paradox management in transformations, and open innovation in public administration. Advising & Grants: Involved in multiple industry-public sector collaborations. Notable projects include blockchain-based water trade platforms and frameworks for sustainable digital ecosystems. His work bridges academic research with practical business applications through case-based teaching and action design research methodologies. Labs/Teams: Active in Vlerick’s Digital Transformation and IT Management research groups, contributing to initiatives like the Digital Leadership programme and strategic consulting for global organizations.