Moe Thandar is a prominent academic researcher in the field of Process Mining and Business Process Management. Their work spans over 160 publications from 2012 to 2025, focusing on advancing methodologies for process analysis, data quality, and automation in healthcare, business, and cybersecurity domains. They have collaborated with leading institutions globally, contributing to standards like the IEEE XES format for process event data. Key areas of expertise: Event log analysis, data-driven process improvement, robotic process automation (RPA), and privacy-preserving techniques. Notable contributions include frameworks like xPM for integrating exogenous data and SwiftMend for repairing process logs. Active in conferences such as BPM, CAiSE, and ICPM, often serving as editor or co-author in proceedings. Research emphasizes practical applications in healthcare (e.g., patient flow optimization), aviation safety, and cost-effective process management. Their work bridges theoretical advancements with real-world implementations, addressing challenges like data quality, scalability, and ethical considerations.
Dr. Tjibbe Bosman is an Assistant Professor in Auditing at Vrije Universiteit Amsterdam's School of Business and Economics. He holds a PhD from the University of Amsterdam (2024) focusing on institutional conditions enabling audit quality, with prior MSc/BSc degrees in Accountancy from Nyenrode Business University. Previously, he spent 10 years in international audit practice at PwC, including a Munich secondment, and remains a certified public accountant in the Netherlands (Registeraccountant) and Germany (Wirtschaftsprüfer). His research interests center on auditing technology (e.g., RPA applications), regulatory compliance frameworks, sustainability reporting standards, and professional accountancy practices. Collaborations include work with institutions like Nyenrode and WU Wien. His recent articles address scope 3 emission reporting reforms, audit process automation, and corporate governance roles of accountants. Bosman serves on the board of Stichting Vaassens Molen since 2022. His work bridges academic research with practical audit challenges, emphasizing technological advancements and regulatory evolution in financial reporting landscapes.
Terje Bach is an Assistant Professor in the Faculty of Logistics at Molde University College - Specialized University in Logistics, where he has been employed since 1998. He is based in Kristiansund and primarily teaches at the bachelor's level, also serving as a study programme coordinator. Bach is currently pursuing his PhD with a focus on the digital transformation of supply chains, supervised by Associate Professors Bjørn Jæger and Lise Lillebrygfjeld Halse. His research interests include digital supply chains, blockchain technology, digital twins, manufacturing-as-a-service, and knowledge co-creation in education. He is actively involved in the research groups Digitalization for Sustainability and Virtual Technologies and Learning . Bach holds a Bachelor’s degree in electronics and automation, a Civil Engineer degree in electronics, and has completed additional studies in Information and Computer Science at NTNU. The recent publications of Terje Bach reflect a strong trend in digital transformation across logistics, manufacturing, and education. His work spans technical applications of blockchain, digital twins, and RPA, as well as pedagogical innovations in supply chain curricula and welfare technology education. These contributions highlight an interdisciplinary approach bridging engineering, operations management, and educational theory. Doctoral Research Fellow in Logistics Active contributor to digital transformation research Published in IEEE, Springer, and Nordic conferences Focus on practical implementation and sustainability Bach has received no explicitly mentioned scientific awards. He advises no listed students but is involved in collaborative research projects. His grants are not detailed in the text. He is associated with research teams focusing on digitalization and virtual learning technologies, contributing to both academic and applied projects in logistics and education. He has contributed to the development of a bachelor’s-level program in welfare technology and has explored innovation support systems for local businesses. His future work is expected to culminate in a framework for digital supply chain implementation, building on his research into digital platforms and circular economy enablers.
Jonas Sveistrup Søgaard is an External Professor at the Department of Accounting, Copenhagen Business School. His research focuses on integrating blockchain and distributed ledger technologies into accounting systems, particularly in VAT settlement, robotic process automation (RPA), and cross-border invoicing systems. He holds a PhD in Accounting Information Systems from Copenhagen Business School (2021). Educations: PhD in Accounting Information Systems (Copenhagen Business School, 2021) Key research interests include enhancing trust in transnational financial systems through Byzantine fault tolerance mechanisms, optimizing accounting workflows with RPA, and leveraging blockchain for tax compliance and bureau reduction. His work bridges technical innovation with practical business applications, aiming to streamline financial processes globally. Notable contributions include a podcast episode explaining blockchain's societal role beyond cryptocurrencies and a 2023 study comparing fault tolerance strategies in invoicing systems. He has delivered lectures on blockchain-based financial reporting automation and actively collaborates on international research projects. His research has been cited over 38 times in peer-reviewed journals, with significant attention to his VAT settlement platform design. Søgaard has supervised 3 scholarly works and contributes to interdisciplinary teams exploring blockchain's impact on accounting and taxation.
Frank Codey is an Adjunct Instructor in the Stiller School of Business at Champlain College. He holds a BS in Business with a Finance concentration from Boston University and a Master of Science in Analytics from Villanova University. His professional experience includes 21 years at Bear Stearns & Co. managing Fixed Income Prime Brokerage, roles at JP Morgan during a merger, and leadership positions at ClearShares LLC and Equinox Funds Management. He specializes in finance, securities markets, and data analytics, advising institutions on operations, technology, and business strategy. Education: Bachelor of Science in Business (Finance), Boston University Master of Science in Analytics, Villanova University Research & Expertise: Frank's work focuses on financial technology applications, fixed income trading, Robotic Process Automation (RPA), and data-driven business solutions. His industry experience spans investment advisory, global banking operations, and alternative strategy fund management. No academic awards or grants are explicitly mentioned in the provided texts. Frank’s advising and lab affiliations remain unspecified in the available data.
Ralf Plattfaut is Professor for Information Systems and Transformation Management at the University of Duisburg-Essen since 2023, where he leads the business process innovation and automation lab. Previously, he served as Professor for Business Informatics at South Westphalia University of Applied Sciences (2019-2023) and as Associate Partner at McKinsey & Company (2013-2019). His academic journey includes research positions at the European Research Center for Information Systems at University of Münster and visiting fellowships at Queensland University of Technology and University of Liechtenstein. His educational background includes: Master of Science in Information Systems (MScIS) from WWU Münster (2009), thesis on 'Lean Enterprise Content Management' Bachelor of Science in Information Systems (BScIS) from Hochschule Liechtenstein (2008), thesis on 'IT-Controlling - Investitionsrechnung und Simulation auf Basis des ARIS-Toolset' Studies in Information Systems at WWU Münster (2004-2009) with core subjects in Business Administration, Information Systems, and Finance PhD studies in Information Systems at University of Münster (2009-2013) Plattfaut's research focuses on business process management, digital transformation, and process automation. His work bridges academic theory with practical business applications, particularly examining how organizations implement and govern process innovations. He has made significant contributions to understanding Robotic Process Automation adoption, process mining applications, and the challenges of digital transformation in various sectors including healthcare, utilities, and public administration. His publication portfolio shows a clear trajectory from foundational work on process modeling and IT controlling through to contemporary research on AI-supported process automation and the societal implications of digital transformation. Recent work increasingly addresses the intersection of process management with emerging technologies while maintaining focus on practical implementation challenges faced by organizations. His scientific recognition includes multiple best paper nominations and awards at premier conferences including ICIS, HICSS, and BPM. Notably, he won the MINTchallenge for innovative teaching and received awards for research on public sector process management and RPA implementation challenges. As an active academic leader, Plattfaut serves on editorial boards for Information Systems and e-Business Management and Intelligent Systems in Accounting, Finance and Management journals. He has chaired tracks at major conferences including Wirtschaftsinformatik and Business Process Management conferences. His funded research projects demonstrate strong connections between academic inquiry and practical business needs, with recent grants from DFG, BMBF, and state ministries supporting research on process automation, process mining in utilities, and lightweight IT governance. Plattfaut maintains an active consulting practice supporting organizations on digital transformation journeys, particularly focusing on business process innovation. He also serves on the Advisory Board 'Digitale Region menschlich gestalten' for the Regional Development Programme 'Regionale 2025'.
Robert Stanisławski is an Associate Professor at the Institute of Management within the Faculty of Organization and Management at Lodz University of Technology. He specializes in inter-organizational management, intelligent systems in logistics, and Industry 4.0, with a focus on SMEs, open innovation, and sustainable logistics. He currently serves as Head of the Supply Chain Management Department and has held roles such as Member of the Faculty Council (2008–2012, 2017–2019) and Head of the Supply Chain Management Department. Interdisciplinary Research: SMEs, Industry 4.0, and Open Innovation Leadership: Department Head and Faculty Council Member Global Engagement: Editor and Council Member for International Journals His research integrates Industry 4.0 , logistics innovation , and sustainable business practices , emphasizing the role of open innovation in enhancing SMEs' competitiveness. Recent publications analyze green process innovation , reverse logistics sustainability , and intelligent logistics systems . He collaborates with the European Council for Small Business and Entrepreneurship and contributes to policy frameworks for innovation.
Felix Dobslaw is a Senior Lecturer and Associate Professor at Mid Sweden University , affiliated with the Department of Communication, Quality Technology and Information Systems (KKI). He leads the cross-disciplinary Software Engineering and Education (SEE) research group, focusing on the intersection of technology and human use in software development, with a particular emphasis on Generative AI applications.
Jan Martijn van der Werf serves as Associate Professor in Process Science at Utrecht University's Faculty of Science, Department of Information and Computer Science. Since September 2022, he has held the position of Programme Director for the Bachelor Information Sciences, overseeing curriculum development and academic operations for both Business Informatics and Information Sciences programs. Education: Dual PhD in Computer Science from Eindhoven University of Technology and Humboldt Universität zu Berlin (Thesis: 'Compositional Design and Verification of Component-based Information Systems') Research Focus: Van der Werf's work centers on process mining and behavioral modeling in software architectures, with emphasis on the interplay between data and processes. His expertise spans Conceptual Modelling of Information Systems , Enterprise Architecture , and Service-Oriented Architecture , addressing challenges in process discovery, verification, and practical implementation within complex organizational contexts. Current research explores the human dimensions of process mining adoption and AI-driven event log extraction. Publication Trends: Recent work (2023-2024) reveals increasing focus on methodological rigor in process discovery, human factors in process mining initiatives, and formal verification techniques for Petri nets. His publications bridge theoretical foundations with practical applications, particularly in event log extraction using large language models and visualization of complex process chronologies from heterogeneous data sources. Academic Contributions: Van der Werf teaches core courses in Process Modelling and Software Architecture , actively participates in academic workshops (including the 2020 'Information System Modeling' workshop), and supervises graduate research. His Scopus profile indicates 77 research outputs and supervision of 3 students, reflecting sustained scholarly engagement in process science and information systems.
Ilyass Tabiai is a Professor in the Department of Mechanical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada. He holds affiliations with the INIT Robots Laboratory where he conducts research on intuitive human-robot interaction and autonomous systems. His academic responsibilities include teaching graduate courses in composite materials, polymer forming, and aeronautics. Professor Tabiai's research spans two primary domains: Innovative materials and advanced manufacturing focusing on composite materials, 3D printing technologies, and sustainable manufacturing processes; and Intelligent and Autonomous Systems with applications in aerospace and robotics. His work frequently explores the intersection of materials science and space technology, including lunar regolith composites and in-situ resource utilization. Analysis of his 15 most recent publications (2022-2025) reveals strong emphasis on: Advanced composite materials characterization and degradation mechanisms Additive manufacturing innovations for aerospace applications Sustainable material processing and recycling techniques Lightweight structural design and testing methodologies These publications consistently demonstrate interdisciplinary approaches combining materials science, mechanical engineering, and space technology. Professor Tabiai maintains an active research group supervising 38 students across doctoral, master's, and applied projects. Current student research includes: Multiscale measurements for aerospace composites 3D printing of polymer/regolith composites for space applications Polymer microlattice structures for aerostat systems Non-local modeling of heterogeneous materials Through the INIT Robots Laboratory, he leads projects developing robotic systems for construction automation, space structure fabrication, and human-robot interaction paradigms.
Prof. Dr. Wolfgang Kratsch serves as Research Professor for Applied AI at Augsburg University of Applied Sciences, Director of the FIM Research Institute for Information Management, and holds a leading position in Fraunhofer FIT's Business Information Systems division. He co-founded and manages the Center for Process Intelligence, driving industry-academia collaboration in digital transformation. His educational background includes B.Sc. and M.Sc. in Business Informatics from the University of Augsburg (2017), followed by a summa cum laude doctorate in data-driven management of process networks from the University of Bayreuth (2020). University of Augsburg: B.Sc./M.Sc. Business Informatics (2017) University of Bayreuth: PhD in Data-Driven Process Network Management (2020) Dr. Kratsch's research centers on data-driven process management , focusing on data extraction, quality assurance, and AI-driven context-sensitive process optimization. His methodology emphasizes design science research yielding prototype implementations for immediate practical use. Key domains include process mining, robotic process automation, and generative AI integration in business workflows, with strong industry applicability. Core Methodology: Design Science Research Technical Focus: Event Log Generation, Object-Centric Process Mining Application Areas: Manufacturing, Healthcare, Transportation His publication trajectory (2021–2025) reveals accelerating integration of generative AI with process mining , particularly in unstructured data extraction (text/video) and automated process improvement. Recent works emphasize practical industry solutions in manufacturing error analysis, airport operations, and medical monitoring, demonstrating consistent collaboration with industrial partners like Munich Airport. No scientific awards were explicitly mentioned in the source material. Dr. Kratsch actively contributes to academia through teaching at Augsburg and Bayreuth Universities, industry project leadership, and startup mentorship. His spin-off credium GmbH (founded 2020) built a 15-person AI/data science team, reflecting his entrepreneurial approach to translating research into market solutions. Current projects prioritize practical AI deployment in serial production and process intelligence systems. Teaching: Lectures/seminars at Augsburg & Bayreuth Universities Startup Experience: credium GmbH (Data Science/AI focus) Industry Projects: Manufacturing optimization, airport operations He leads the FIM Research Institute and Center for Process Intelligence, directing multidisciplinary teams in developing process mining prototypes. His labs focus on bridging academic research with industrial deployment, particularly in video-based process monitoring and generative AI for business process design.
