جست‌وجوی استاد و پژوهشگر

Alfredo Capozuccaمشاهده پروفایل

پژوهشگر

• Software Engineering
• Dependable Systems
• Computing Education
• +۳ مورد دیگر

Alfredo Capozucca is a full permanent Researcher at the Department of Computer Science (DCS) within the Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg. He holds a PhD in Computer Science from the University of Luxembourg (2010) and an M.S. from the National University of Rosario, Argentina (2003). His research focuses on modern software engineering methods, dependable systems, and computing education, with an emphasis on formal verification and sustainable computing practices. Capozucca has contributed to the design of courses at undergraduate and master's levels, including serving as Deputy Programme Director for the BSc in Computer Science from 2021-2024. His work bridges theoretical foundations with practical applications in education and industry. Research interests prominently include AI in education (e.g., ChatGPT's role in formal specification writing), formal verification techniques, and the integration of DevOps philosophies into academic curricula. He has authored numerous papers on topics ranging from security policy analysis to energy-efficient transactional models. Capozucca's contributions extend to open-source projects and tool development, such as the Messir UML requirements engineering tool. His teaching spans software engineering fundamentals, dependability, and modern DevOps practices, reflecting a commitment to aligning education with industry needs. Key professional roles include R&D engineer positions (2004-2006) and leadership in educational program design. His research infrastructure is based at the Maison du Nombre facility in Luxembourg. While no specific grants or awards are listed, his extensive publication record and teaching contributions highlight sustained academic engagement.

Michael Obalمشاهده پروفایل

دانشیار

• Innovation
• Entrepreneurship
• Digital Marketing
• +۶ مورد دیگر

Michael Obal is an Associate Professor of Marketing, Entrepreneurship, and Innovation at the Manning School of Business, University of Massachusetts Lowell. He holds a PhD from Temple University and teaches courses on marketing strategy, digital marketing, and innovation. His research focuses on disruptive technologies, new product development (NPD), and the diffusion of innovations. He has published extensively in journals like Journal of Business Ethics , Research-Technology Management , and Journal of Business Research . Obal has received numerous awards, including the 2024 UML Researchers and Scholars Investment and the 2023 AMA Promising Research Award. Obal’s career spans academia and industry, transitioning from sales at the Boston Beer Company to digital marketing at iProspect before pursuing his PhD. He emphasizes the importance of adaptability in career paths and encourages students to build skills in emerging technologies. His research explores topics like remote work’s impact on business relationships, customer participation in NPD, and sustainability integration in innovation processes. He is an associate editor for Journal of Business-to-Business Marketing and serves on editorial boards for Industrial Marketing Management and Journal of Business Research . Obal’s work also addresses challenges posed by technological disruption and global market dynamics. His recent studies analyze how remote work affects customer engagement and how firms navigate turbulent technological environments. He collaborates internationally through initiatives like the Global Entrepreneurship Exchange (GE2), fostering innovation ecosystems and cross-cultural entrepreneurship education.

Ulrich Frankمشاهده پروفایل

استاد

• Multi-perspective Business Modeling
• Object-Oriented Modeling
• Multi-Level Modeling
• +۷ مورد دیگر

Prof. Dr. Ulrich Frank is a full Professor of Business Information Systems and Enterprise Modeling at the University of Duisburg-Essen, Faculty of Computer Science. He serves as Director of IS:link, an international student exchange network he founded. His academic career spans multiple prestigious institutions including University of Mannheim, GMD, IBM Almaden Research Center, University of Koblenz-Landau, and University of Duisburg-Essen since 2004. His educational background includes: Business Administration studies (minor in Applied Computer Science) at University of Cologne Doctorate in Political Science from University of Mannheim (1986) Habilitation at University of Marburg (1993) Prof. Frank's research focuses on multi-perspective enterprise modeling, with particular emphasis on object-oriented and multi-level modeling approaches. His work bridges business administration and computer science, exploring conceptual modeling, knowledge management systems, business process reorganization, and the theoretical foundations of business informatics. He has made significant contributions to modeling languages like FMMLx and XModelerML, advancing multi-level modeling techniques for enterprise information systems. His recent publications demonstrate a strong focus on multi-level modeling languages, with particular attention to UML extensions, language engineering, and the application of large language models in systems engineering. The research trajectory shows consistent development of modeling frameworks that support enterprise architecture, business process modeling, and domain-specific language design, with increasing attention to AI-assisted modeling approaches in recent years. Prof. Frank has received significant recognition through editorial positions at leading journals: Co-Editor of Enterprise Modelling and Information Systems Architectures Co-Editor of Business & Information Systems Engineering Co-Editor of Information Systems and E-Business Management Co-Editor of Software and Systems Modeling Member of the Standing Committee of the European Conference on Information Systems (ECIS) Prof. Frank has served in numerous academic leadership roles including as Chairman of the Examination Board for Business Information Systems, member of the Research Commission at University of Duisburg-Essen, and Appointment Commissioner (2021-2023). He has reviewed for major funding organizations including the German Research Foundation, Federal Ministry of Education and Research, and Swiss National Science Foundation. As founder and senior consultant of IS:link, Prof. Frank leads an international student exchange network connecting universities worldwide. His research group focuses on multi-perspective enterprise modeling (MEMO), developing frameworks and tools for business information systems design and implementation.

Christian Hilbesمشاهده پروفایل

مدرس

• Safety-Critical Systems
• Systems Engineering
• STPA (Systems-Theoretic Process Analysis)
• +۳ مورد دیگر

Christian Hilbes is a Lecturer at the School of Engineering of Zurich University of Applied Sciences (ZHAW). He serves as Deputy Head of the Institute for Applied Mathematics and Physics (IAMP) and co-leads the research focus on Safety-Critical Systems. Active projects include leadership roles in Autonomous Predictive Interlock Systems , Personnel Safety Systems , and Triggering Conditions for Autonomous Cars . He specializes in STPA (Systems-Theoretic Process Analysis) , UML-based modeling , and Dynamic Flowgraph Modeling for safety-critical applications. Email: christian.hilbes@zhaw.ch His research integrates safety analysis with emerging technologies like autonomous systems and nuclear facilities, contributing to publications at MIT STAMP Workshops and in journals like Nuclear Engineering and Design . He actively collaborates on European Spallation Source (ESS) safety frameworks and develops domain-specific languages for STPA.

• Model-based Systems Engineering
• Safety-Critical Systems
• Systems Engineering
• +۳ مورد دیگر

Dr. Siyuan Ji is a Reader in Model-based Systems Engineering (MBSE) at Loughborough University, serving as Deputy Head of the Manufacturing, Systems & Management Academic Community and Deputy Director of the Doctoral Training Centre in MBSE. He previously held a Senior Lecturer position in Systems Engineering at the University of York, where he led the MSc Programme in Safety-Critical Systems Engineering. His academic journey includes a PhD and MSc in Physics from the University of Nottingham, followed by research roles in model-based systems engineering at Loughborough University. His research focuses on advancing model-based techniques for systems engineering, particularly in safety-critical systems, formal methods, and complex system design. He has contributed to areas such as hazard management (e.g., BSafeML framework), response time analysis in real-time systems, and model synchronization for requirements engineering. His work bridges theoretical foundations with practical applications in automotive systems, embedded software, and educational technology. Dr. Ji holds the title of Fellow of the Higher Education Academy and has published extensively on topics ranging from quantum technology reporting to conversational tutoring systems. His research emphasizes interdisciplinary collaboration, evident in projects like the EPSRC-funded analysis of vehicles as complex systems. He actively contributes to both academic and industrial advancements in systems engineering methodologies and education innovation. His professional roles include managing doctoral training programs, overseeing academic communities, and advancing systems engineering education. Collaborations span industry partnerships and international academic networks, reflecting his commitment to impactful research and training the next generation of systems engineers.

Ali Hamieمشاهده پروفایل

مدرس ارشد

• Formal Aspects of Software Development
• Software Engineering
• Formal Methods
• +۴ مورد دیگر

Ali Hamie is a Senior Lecturer at the School of Architecture, Technology and Engineering (University of Brighton, UK), specializing in formal methods in software engineering and ontology modeling. With over 35 publications, his work bridges theoretical formalisms like UML, OCL, and JML with practical implementation validation. BSc in Pure Mathematics (Lebanese University, 1982) Postgraduate Diploma in Computing (University of Essex, 1986) MSc in Computer Science (University of Essex, 1987) PhD in Computer Science (University of Essex, 1991) His research focuses on formal aspects of software development , including specification patterns, design by contract, and translation between formal notations (OCL to JML). Recent work examines diagrammatic reasoning in ontology engineering and hybrid modeling approaches combining formal and agile methods. Studies show his publications span formal methods , ontology modeling , and constraints validation , with recurring themes in OCL-JML interoperability, diagrammatic notations, and user-centric formalism evaluation. Awards include Fellow of the Higher Education Academy (2017) . He supervises research in formal computing, with past topics covering concept diagrams and ontology modeling. His academic career includes postdoctoral roles at Newcastle University and EPSRC-funded work at Imperial College.

Pat Barrowمشاهده پروفایل

مدرس ارشد

• Information Systems
• Organizational Information Systems
• Requirements Engineering
• +۴ مورد دیگر

Pat Barrow is a Senior Lecturer in Business Information Systems at Norwich Business School, University of East Anglia. He holds a PhD (2000) and MA (2007) from UEA, alongside a BSc (1993). His academic background focuses on stakeholder evaluation in Rapid Application Development and organizational aspects of Information Systems. Though he transitioned to a non-research role in 2000, his past research explored requirements engineering, UML formalisms, and systems evaluation in Saudi Arabian private organizations. He teaches extensively across undergraduate and postgraduate levels, including MBA programs. Education: BSc (1993), PhD (2000), MA (2007) from University of East Anglia Research interests include IS design, supply chain digitalization, and human-centric IS challenges. Though not currently publishing, his prior work addressed system evaluation methodologies and software development patterns. He has coordinated administrative roles such as Senior Advisor for Postgraduate Students (2023–) and Workload Allocation Model coordinator (until 2021).

Kevin Schneiderمشاهده پروفایل

استاد

• Software Architecture and Design
• Software Evolution and Maintenance
• Software Analysis and Navigation
• +۶ مورد دیگر

Dr. Kevin Schneider is a Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on software architecture, evolution, analysis, and visualization, with notable work in quantum computing applications and machine learning. He also explores collaborative software teams and domain-specific languages to enhance development processes. Education: Ph.D., Computing and Information Science, Queen’s University (2000) Research Associate, Computing and Information Science, Queen’s University (1991–94) M.Sc., Computing and Information Science, Queen’s University (1990) B.Sc.(Hon), Computational Science, University of Saskatchewan (1980) Research interests include software design principles, maintenance strategies, and the integration of AI/quantum computing into software engineering. He emphasizes reproducibility in scientific workflows and tools like VizSciFlow. His work often bridges theory and practice, addressing challenges in code clone stability, user feedback management, and healthcare-related machine learning frameworks. Scientific Awards: Most Influential Paper at SCAM 2001 for his work on software engineering via source transformation. Advising and grants: While no specific advisees are listed, his research involves large-scale projects such as the Nutrient App and automated polyp segmentation tools. He collaborates on grants related to quantum computing applications and cloud-based software systems. Labs and teams: His work centers on collaborative scientific data analysis groups and developing tools for real-time groupware systems in complex workflows. He contributes to projects like CloneCognition and FSECAM, aiming to improve software design and maintenance through advanced analytics.

• Software Engineering
• Program Comprehension
• Eye Tracking in Software Development
• +۴ مورد دیگر

Professor Jonathan I. Maletic is affiliated with the University of Kent, UK, and is a leading researcher in software engineering with a particular focus on program comprehension and eye tracking in software development. He has published extensively in top venues such as Empirical Software Engineering, IEEE Transactions on Software Engineering, and the International Conference on Program Comprehension.

Wieland Konradمشاهده پروفایل

پژوهشگر

• Software Engineering
• Model-Driven Engineering
• Collaborative Systems
• +۳ مورد دیگر

Wieland Konrad is a researcher affiliated with the Institut für Softwaretechnik und Interaktive Systeme at TU Wien. His work focuses on model-driven engineering, software versioning, and collaborative systems. He has extensively contributed to advancing model versioning techniques, conflict resolution in software models, and UML-based solutions. His research emphasizes practical applications in software development lifecycle management and educational methodologies for UML. Key research areas include: Model versioning systems and semantics Conflict detection and resolution algorithms Collaborative cross-organizational modeling EMF/UML profile-based extensions Software evolution analysis His publications highlight advancements in concurrent modeling tools like Colex, adaptable versioning frameworks, and educational strategies for large-scale UML teaching. While no awards are listed, his prolific output since 2009 demonstrates sustained academic contribution.

Boyan Paskalev Bontchevمشاهده پروفایل

استاد

• Software Architecture
• E-Learning Systems
• Adaptive Hypermedia
• +۵ مورد دیگر

Boyan Paskalev Bontchev is a Professor in the Department of Software Technologies at Sofia University's Faculty of Informatics. With a PhD in Computer Science from the Center of Informatics and Computer Technology - Bulgarian Academy of Sciences, he has established himself as a prominent academic in software engineering and educational technology fields. His academic career includes teaching Java Server/Side Programming and OOAD-UML courses at Sofia University and New Bulgarian University since 2000. Professor Bontchev's research focuses on e-learning systems, adaptive hypermedia, and software architecture. His work centers around developing self-adaptive educational platforms, with significant contributions to the ARCADE e-learning platform that complies with IEEE LTSA standards. He has published extensively on topics including courseware composition, learning content interoperability, and assessment frameworks, demonstrating a consistent research trajectory in educational technology systems. His publications reveal a strong emphasis on practical applications of educational technology, particularly in self-adaptive hypermedia navigation, e-learning courseware delivery, and assessment interoperability. The research shows progression from foundational work on software architecture to increasingly sophisticated adaptive learning systems that incorporate learner modeling and personalized educational experiences. Professor Bontchev maintains active industry connections, having worked as a software engineer and project manager at companies including Rila Solutions, ESDI Ltd., and OBLOG Software Ltd. His international experience includes research stays at the University of Vienna and Technical University of Aachen, contributing to his broad perspective on educational technology development. With proficiency in multiple programming languages and environments including Java, JSP, Oracle, and web technologies, he bridges theoretical computer science with practical educational applications. His multilingual capabilities (English, Portuguese, German, Russian, Spanish) further enhance his international research collaborations and academic contributions.

• Business Model Development
• Software Ecosystems
• Virtual Reality
• +۵ مورد دیگر

Sebastian Gottschalk is a researcher at Paderborn University, Germany, specializing in business model development within software ecosystems, virtual reality applications, and model-driven software engineering. His research focuses on creating situation-specific approaches to business model development, with particular emphasis on tool support, method composition, and knowledge provision. His research interests span business model innovation, virtual reality applications for education and collaboration, model-driven development, and end-user programming. He has made significant contributions to understanding how business models can be developed in context-aware ways within software ecosystems, with practical applications in tool development and method engineering. His publication record shows a clear progression from foundational work on business model development to innovative applications in virtual reality and gamification. Recent work demonstrates increasing focus on practical implementations, particularly in educational contexts using VR technology to teach UML and software modeling concepts. Gottschalk has collaborated extensively with Gregor Engels (27 publications together), Enes Yigitbas (20 publications), and Alexander Nowosad (7 publications), indicating strong research partnerships that have driven much of his recent work in business model development and virtual reality applications.

Zhi Jinمشاهده پروفایل

استاد

• Requirements Engineering
• Self-Adaptive Systems
• Learning from Source Code
• +۵ مورد دیگر

Zhi Jin is a Professor in the Department of Computer Science and Technology at Peking University, where he has been employed since 2009. Previously, he served as a professor at the Academy of Mathematics and System Sciences, Chinese Academy of Sciences from 1994-2009. He received his BS from Zhejiang University in 1984 and MS/PhD from National University of Defense Technology in 1984 and 1992 respectively. He progressed from assistant professor (1992) to associate professor (1995) to full professor (2001). His research focuses on knowledge engineering and software engineering, with special interests in knowledge graphs, self-adaptive systems, and deep learning applications. Current research directions include Self-Adaptive Software in Human-Cyber-Physical Systems, Crowd-based Requirements Engineering, and Learning from both Natural Language and Programming Language. His work bridges theoretical knowledge engineering with practical software development challenges. His recent publications demonstrate a strong trend toward applying large language models and AI techniques to traditional software engineering problems, particularly in requirements engineering, code generation, and vulnerability detection. The articles span multiple high-impact venues including ASE, ICSE, and RE, with significant focus on aerospace applications and multi-agent collaboration approaches. Scientific honors include: Winner of National Science Fund for Distinguished Young Scholars (2006) Project 973 project lead scientist (2014) Member of Discipline Appraisal Group of the Academic Degree Commission (2015) Multiple ACM Distinguished Paper Awards He serves in numerous editorial roles including Associate Editor for IEEE Transactions on Software Engineering (2018-present) and IEEE Transactions on Reliability (2019-present). He is also an Editorial Board Member for Empirical Software Engineering and Requirements Engineering Journal, and holds leadership positions in the China Computer Federation. His extensive conference service includes PC membership for ICSE, FSE, RE, and other major software engineering venues.

Kevin Lanoمشاهده پروفایل

دانشیار

• Model-Driven Engineering
• Software Systems Modelling
• Sustainability in Software Engineering
• +۴ مورد دیگر

Dr. Kevin Lano is a Reader in Software Engineering at King's College London's Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences. He serves as Editor of the Software Systems Modelling journal and has held roles as Principal Investigator in multiple EPSRC-funded projects. Education: PhD (Doctor of Science) in Mathematics of Vagueness and Approximate Reasoning from the University of Bristol (1989) and BSc from the University of Reading (1984). Research focuses on model-driven engineering, software sustainability, UML, and FinTech applications. Key interests include model transformations, agile methodologies, and applying AI (LLMs) to requirements engineering. His work on frameworks like AppCraft and MathOCL demonstrates expertise in mobile app development and financial modeling. Notable awards include the Best Paper Award (2022) and Highly Ranked Scholar (Lifetime) (2024) . His research spans 152 publications, with recent work on sustainable software re-engineering and LLM applications in reverse engineering. Grants/Projects: Led projects such as Financial Model Specification and Validation (EPSRC, 2024), Model Transformation Engineering and Verification Network (2016–2019), and VeriTrans (2013–2016). Current work emphasizes sustainable software practices and FinTech integration. Labs/Teams: Active in the Sustainability Hub and Finance Hub, advancing research in software sustainability and computational finance.

Bogumiła Hnatkowskaمشاهده پروفایل

استادیار

• Software Engineering
• Analysis and Design of Information Systems
• Software Development Methodologies
• +۳ مورد دیگر

Dr. Bogumiła Hnatkowska serves as Assistant Professor at the Institute of Informatics within the Faculty of Computer Science and Management at Wrocław University of Science and Technology. Her academic career spans software engineering research and education with emphasis on model-driven approaches and quality assurance methodologies. Her research interests include: Software Engineering Analysis and Design of Information Systems Software Development Methodologies Model-Based Software Development Domain-Specific Languages Software Quality Recent publications (2021-2025) reveal concentrated research in model-driven engineering, business rules processing, and ontology integration. Key trends involve textual specification languages for use-cases, automated test generation mechanisms, and formal transformations for ontologies – demonstrating consistent application of theoretical rigor to practical software development challenges across agile and model-based contexts. Scientific Awards: No scientific awards were mentioned in the provided text Dr. Hnatkowska has served as principal investigator for multiple State Committee for Scientific Research grants including UML extensions for multimedia systems (2000), real-time systems analysis (2005), and model-driven database design (2008). Her teaching portfolio includes Software Engineering, Software System Development, and Advanced Programming Techniques courses where she supervises team projects providing students with hands-on development experience. She actively participates in partner programs including Visual Paradigm's Academic Training Partner Program (providing UML/BPMN/agile tools) and IBM Academic Initiative, supporting her research in software engineering methodologies and educational tool development.