جست‌وجوی استاد و پژوهشگر

• Mathematics
• Statistics
• Computer Science
• +۳ مورد دیگر

Bert Wachsmuth is an Associate Professor in the Department of Mathematics and Computer Science at Seton Hall University. His research focuses on statistics, education technology, and algorithm visualization. He holds a PhD from Indiana University (1991). Education: PhD in Mathematics, Indiana University, 1991 Research interests include applying statistical methods to business decisions, leveraging touch-based technology in education, and developing visual algorithms for complex mathematical problems. His work on tablet PCs demonstrated their utility for faculty in enhancing classroom instruction. Publications span educational technology, statistical pedagogy, and computational mathematics. Notable works include Using Statistics for Better Business Decisions (2016) and studies on tablet PCs in academia (2006). No scientific awards or grants are listed in the provided information. No lab affiliations or team collaborations are explicitly mentioned.

• Game Development
• Maritime Spatial Planning
• Simulation Gaming
• +۶ مورد دیگر

Kevin Hutchinson is an Instructor at the Academy for AI, Games & Media at Breda University of Applied Sciences. His work focuses on serious games, simulation platforms, and digital media concepts with applications in maritime spatial planning, healthcare, and urban tourism. Research interests include game-based solutions for complex societal challenges such as maritime governance, obstetric training simulations, and personality profiling through gameplay. He has contributed to projects like the MSP Challenge simulation platform, VR/AR tools for spatial planning, and digital narratives about migrant experiences. His recent work (2024) addresses innovative tools for maritime spatial planning, while earlier projects include self-esteem measurement through games (2017) and end-user platform development for game research integration (2017). He collaborates frequently with colleagues like Carlos Pereira Santos and Wijnand Boode. Notable outputs include the 2020 Journal of Ocean Technology article on game-based marine planning platforms and the 2019 ACM Transactions paper on personality trait profiling. His work emphasizes practical applications of game technology in healthcare, education, and policy-making.

• Project Management
• Data-Driven Decision Making
• Earned Value Management
• +۳ مورد دیگر

Mario Vanhoucke is a Full Professor of Decision Sciences at Vlerick Business School, and concurrently holds positions as Professor at Ghent University (Operations Management and Information Science Centre) and University College London (UCL School of Management). He specializes in data-driven project management, focusing on earned value management, schedule risk analysis, and optimizing resource efficiency. Education: Doctor in Operations Management from KU Leuven. He is also a Partner at OR-AS, a software development firm, and has authored five books, including The Data-driven Project Manager , which integrates practical case studies with theoretical frameworks. Research interests include: Project scheduling and control mechanisms Integration of AI and digital tools in project management Risk analysis methodologies for large-scale projects Data-driven decision frameworks for organizations Notable awards: Professor of the Year (American College of Performance Management, 2022) IPMA Research Award (2008 and 2020) Advising and Grants: Teaches across programs: Full-Time MBA, Beijing International MBA, Masters in General Management, and Executive Project Management courses Develops proprietary project management software tools for enterprise integration Labs/Teams: Leads research initiatives at Vlerick’s Decision Sciences department and collaborates with Ghent University’s Operations Management Centre.

Helena Dudyczمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Analysis
• Business Intelligence
• +۳ مورد دیگر

Prof. Helena Dudycz is a Professor in the Department of Information Technology at Wrocław University of Economics (UEW). Her research focuses on Artificial Intelligence applications in logistics, data analysis methodologies, business intelligence systems, and semantic technologies. She actively contributes to advancing decision support systems in financial management and has explored the usability of public and corporate websites through heuristic evaluation frameworks. Her work bridges academic research and practical implementation, addressing challenges in multi-site enterprise data integration, smart mobility solutions, and quality of service in web services. Key areas of interest include big data analytics, cognitive technology for investment decisions, and semantic visualization in business intelligence. Recent publications emphasize AI-driven automation in customs processes, Microsoft 365 adoption strategies, and the development of intelligent management systems for higher education institutions. Her research consistently integrates technology with organizational efficiency, aiming to enhance decision-making through innovative IT solutions. Prof. Dudycz maintains an open collaboration stance with socio-economic entities and offers consultations on MS Teams during specified hours. Her academic contributions reflect a commitment to both theoretical advancements and real-world applicability.

• Software Engineering
• Requirements Engineering
• Formal Methods
• +۳ مورد دیگر

Steve Riddle is a Research Professor with extensive contributions to software engineering, systems of systems (SoS) modeling, and requirements engineering. His work spans formal methods, traceability frameworks, and safety-critical system design across institutions and projects. Active in software traceability and requirements engineering Key contributor to SoS architectural modeling Collaborator in formal methods education initiatives His research focuses on traceability in software systems , contract-based analysis of SoS , and protective wrapping for off-the-shelf components . He explores how project metrics predict change-proneness and develops frameworks for competency-based computing education. Recent publications analyze team-based capstone projects in computing education and instructor perspectives on software engineering pedagogy. His work bridges theoretical approaches (like VDM++) with industry-aligned problem-solving .

Arnaldo Pereiraمشاهده پروفایل

استادیار

• Artificial Intelligence
• Intelligent Systems
• Semantic Data
• +۳ مورد دیگر

Arnaldo Pereira is an Invited Assistant Professor at the Instituto Politécnico de Bragança. He holds a Ph.D. in Informatics from a collaborative program between the University of Aveiro, University of Porto, and University of Minho (MAPi), focusing on semantic data querying and visualization. His research interests include Artificial Intelligence, Intelligent Systems, and their applications in biomedical informatics and FAIR data practices. He has contributed to European research projects advancing data integration and control systems. Education: Ph.D. in Informatics (Collaborative Program: University of Aveiro, University of Porto, University of Minho) Research Interests: Dr. Pereira specializes in semantic data technologies, FAIR data principles, and their application to biomedical database systems. His work emphasizes query optimization, visualization tools for complex data, and the development of interoperable systems in healthcare and industrial contexts. Recent efforts focus on collaborative workshops (BYOD) to enhance data management practices and knowledge sharing in interdisciplinary environments. Key Research Trends (2020–2024): His publications highlight advancements in FAIR-compliant tools, semantic querying of biomedical databases, and the integration of AI-driven approaches for data accessibility and system monitoring. Earlier work includes contributions to industrial cyber-physical systems, KPI optimization, and agent-based enterprise architectures. Grants & Collaborations: Active participant in EU-funded research projects focusing on data integration and intelligent systems. No specific grant details provided in the text. Labs/Teams: Affiliated with computational and biomedical informatics groups at his institution, though specific lab names are not mentioned.

• Agile Development
• R&D Management
• Innovation Ecosystems
• +۵ مورد دیگر

Ludvig Lindlöf is a Senior Lecturer at Halmstad University, affiliated with the School of Business, Innovation and Sustainability. He specializes in research and teaching on organizational management, particularly focusing on R&D Management, agile development, and self-organization. His work includes leading projects on agile practices in product development and innovation ecosystems. His research explores topics such as tactical capabilities in agile new product development (NPD), data accessibility challenges in innovation, and inter-organizational agility tensions. Lindlöf has contributed to understanding how visual management and lean principles enhance communication and coordination in complex projects. Publications highlight his engagement with interdisciplinary challenges, such as the interplay between manager-team dynamics in large-scale agile initiatives and the documentation paradox in knowledge reuse. He has also explored digitalization’s impact on work environments and pedagogical approaches in higher education. Lindlöf’s research emphasizes practical applications, leveraging case studies like autonomous car projects and multi-stakeholder data platforms. His work bridges theoretical frameworks with real-world organizational practices, particularly in scaling agile methodologies beyond software contexts.

Sung Shimمشاهده پروفایل

دانشیار

• Information Systems Implementation
• Business Process Reengineering
• Computer Simulation
• +۳ مورد دیگر

Sung Shim is an Associate Professor and Chair of the Department of Computing and Decision Sciences at Seton Hall University. His research focuses on information systems implementation, business process reengineering, and computer simulation applications in healthcare and education. He teaches courses in Information Technology Management, Enterprise Resource Planning (ERP) Systems, and AI Management. Professor Shim earned his Ph.D. in Management (with a focus on Management Information Systems) from Rensselaer Polytechnic Institute's Lally School of Management. His work emphasizes cross-cultural educational evaluations, ERP system usability testing, and simulation-driven process optimization in healthcare settings. Key research trends include exploring ERP educational tools through simulations (e.g., ERPsim games), analyzing user perceptions of enterprise software, and applying simulation models to improve hospital workflows. Notable studies span topics from cross-cultural student presentations to surgical instrument distribution optimization. No scientific awards were explicitly mentioned. Advising and grant activities remain unspecified in the provided texts. His work contributes to both academic and practical domains through innovative educational technologies and healthcare process improvement methodologies.

Andrea Poliniمشاهده پروفایل

استاد

• Blockchain Technology
• Business Process Modeling
• IoT Systems
• +۵ مورد دیگر

Andrea Polini is a Full Professor at the University of Camerino, focusing on interdisciplinary research at the intersection of blockchain technology, business process modeling, IoT systems, and software engineering. His work emphasizes formal methods for ensuring correctness in distributed systems, smart contract security, and model-driven approaches for IoT integration. Research interests include blockchain-based choreography execution, mutation testing strategies for smart contracts (e.g., ReSuMo and SUMO tools), and frameworks for IoT application portability (X-IoT). He also investigates process mining in public administration and humanitarian contexts, such as analyzing collaboration in crisis mapping platforms like the HOT Tasking Manager. Polini’s contributions span over 60 publications since 2014, with a strong focus on practical tools and methodologies (e.g., BProVe for business process verification, FloBP for IoT-enhanced processes). His work bridges theoretical computer science with real-world applications in healthcare, urban mobility (Tangramob framework), and disaster response systems.

Susan Atheyمشاهده پروفایل

استاد

• Economics of Technology
• Antitrust Economics
• Machine Learning
• +۵ مورد دیگر

Susan Athey is the Economics of Technology Professor at Stanford Graduate School of Business (GSB), holding senior fellowships at the Stanford Institute for Economic Policy Research and the Stanford Institute for Human-Centered Artificial Intelligence. She earned a BA in Economics, Mathematics, and Computer Science from Duke University and a PhD from Stanford GSB. Her research bridges economics and computer science, focusing on digital markets, antitrust policy, and AI-driven social impact solutions. She founded the Golub Capital Social Impact Lab to leverage technology for social sector innovation, developing tools like the CAREER model to analyze labor market dynamics. Her tenure as Chief Economist at the U.S. Department of Justice’s Antitrust Division led to updated merger guidelines integrating modern economic analysis. Athey has pioneered methods for causal inference and policy design, emphasizing iterative, data-driven approaches. Awards include the John Bates Clark Medal (2007), and she serves as President of the American Economic Association. Education: Bachelor of Arts: Economics, Mathematics, Computer Science, Duke University PhD: Stanford Graduate School of Business Research Interests: Economics of technology and digital markets Antitrust policy and merger analysis Machine learning applications in economics Social impact initiatives using AI Health and labor economics Causal inference and policy evaluation Lab Initiatives: The Golub Lab collaborates on projects like AI-driven educational apps, healthcare counseling tools (e.g., Cameroon contraception app), and job market models (CAREER). She teaches the Data-Driven Impact course, emphasizing practical experimentation in social interventions. Grants & Leadership: Led DOJ’s antitrust technology policy team, rebranded the Expert Analysis Group. Collaborates with PayPal, World Bank, and tech-focused NGOs. Her work integrates interdisciplinary teams to address systemic challenges in policy and technology.

Angela Nashمشاهده پروفایل

مدرس ارشد

• Construction Project Management
• Space Planning
• Capital Development for Higher Education
• +۵ مورد دیگر

Angela Nash is Associate Head of School (Academic) at the School of Architecture and Built Environment, Faculty of Science and Engineering, University of Wolverhampton. With extensive experience in construction project management and educational facility development, she plays a key leadership role in academic matters within her school. Her educational background includes an MBA, a Postgraduate Certificate in Learning and Teaching in Higher Education, and Prince2 certification, providing a strong foundation for her work in both academia and practical project management. Dr. Nash's research focuses on the intersection of construction management and educational environments. Her work explores how physical learning spaces impact educational outcomes, with particular emphasis on construction project management, space planning for higher education, and the development of effective learning environments. She has made significant contributions to understanding women's roles in construction and the strategic implementation of educational capital projects. Her publication record demonstrates a consistent focus on the relationship between physical environments and educational outcomes. Over the past 15 years, her work has evolved from traditional construction management topics to increasingly focus on the strategic planning of educational spaces, technology integration in learning environments, and international educational infrastructure projects. Member of the Chartered Management Institute Fellow of the Higher Education Association Dr. Nash has been instrumental in securing and managing significant funding for educational infrastructure projects, including multiple HEFCE grants totaling over £5 million, a £2 million Sport England World Class Programme, and a €600,000 European Union Asia Link Programme. Her experience spans strategic project leadership for the University of Wolverhampton's £180m New Horizons Estates Regeneration Programme. Her work extends beyond the university through professional engagements with organizations like RIBA, ADP Architects, and various educational leadership forums, where she shares expertise on educational space design and project management.

Marko Seppänenمشاهده پروفایل

استاد

• Digital Platforms
• Value Creation Mechanisms
• Ecosystem Building
• +۶ مورد دیگر

Marko Seppänen is a Professor of Industrial Management and the incoming Dean of the Faculty of Management and Business at Tampere University, effective April 1, 2025. He leads the Research Centre for Managing Circular Economy (ManCE) and has an extensive publication record with over 200 research outputs spanning two decades. Professor Seppänen's research focuses on digital platforms and new value creation mechanisms, ecosystem building (particularly in bio- and circular economy), technology management and innovations, and new business development. His work bridges theoretical frameworks with practical applications in industrial contexts, with a strong emphasis on sustainable business models and digital transformation. His research has significant implications for both traditional industries undergoing digital transformation and emerging sectors focused on circular economy principles. His recent publications demonstrate a clear trend toward examining business model innovation in the context of digital platforms, electrification, and sustainability. His work spans multiple industries including heavy machinery, urban innovation, and API ecosystems. A significant portion of his research explores how organizations can successfully navigate digital transformation while creating value in emerging ecosystems, with particular attention to stakeholder management, temporal dynamics, and task-technology fit. Recipient of 5 significant prizes (specific awards not detailed in available information) Extensive media coverage with 3 press/media mentions Active in 130 professional activities Professor Seppänen has supervised numerous doctoral and master's students (though specific names not provided in available information) and has secured multiple research grants supporting his work on circular economy, digital platforms, and business model innovation. His research has practical applications across multiple industries and has influenced both academic discourse and business practice. He leads the Research Centre for Managing Circular Economy (ManCE), which focuses on developing practical frameworks for implementing circular economy principles in industrial contexts. The center brings together interdisciplinary teams to address challenges in sustainable value creation, resource efficiency, and business model innovation for the circular economy.

Pawel Orzechowskiمشاهده پروفایل

مدرس

• Programming Education
• Data Mining
• Text Mining
• +۵ مورد دیگر

Lecturer in Programming for Data Science at the Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh. Previously taught at the University of Edinburgh Business School and CodeClan bootcamp. Serves as CTO of FeelingGood App (formerly Sorted), with prior roles as Head of Mobile at Storm Ideas and Technology Advisor at Mara Seaweed. Education: PhD in Computer Science/HCI/UX from Heriot-Watt University Research focuses on democratizing programming education for non-technical audiences through innovative pedagogy in data/text mining and natural language processing. His work bridges human-computer interaction with social data science, particularly examining gender equality metrics and diversity impacts in corporate environments. Develops open educational resources emphasizing pair programming techniques and digital credentialing systems to enhance remote learning accessibility. Publication trends reveal a distinct evolution from early textile interface research (2010-2017) toward contemporary data science education and social impact studies (2020-2025). Recent work analyzes pandemic-era teaching adaptations and investigates correlations between workplace diversity metrics and financial performance, while foundational contributions established methodologies for digital textile simulation and haptic feedback systems. Scientific recognition: Highly Commended for Social Responsibility and Sustainability Changemaker 2020-2021 Mentorship and funding initiatives center on community-driven projects rather than traditional grants. Leads the CodeBar.io mentoring scheme supporting LGBTQIA+ and underrepresented groups in tech, develops open-access Python curriculum through Code Storytelling, and coordinates the Pair Programming Network. Commissioned research on gender equality demonstrates industry collaboration, while non-funded projects like the Social Data Science Hub foster interdisciplinary community engagement. Directs multiple volunteer-based initiatives including the Pair Programming Network and CodeBar.io mentoring scheme, with active participation in the RSE Young Academy of Scotland (2020-2025). These efforts prioritize creating inclusive entry pathways into technology through hands-on coding support and open educational resource development.

• Agile Software Development
• Offshore Project Management
• Cross-Cultural Collaboration
• +۷ مورد دیگر

Dr. Samir Shah is a Clinical Professor of Management Information Systems at Drexel University's LeBow College of Business, specializing in Decision Sciences & MIS. He combines academic research with industry experience in agile methodologies and offshore project management. Research focuses on cross-cultural collaboration Expertise in outsourcing and information systems leadership Recipient of international education and teaching excellence awards His work explores agile software development, trust-building in global classrooms, and the human aspects of IT project management. Recent publications analyze student learning modalities and global workforce preparation. Scientific Awards: 2015 David A Portlock Outstanding International Educator Award 2014 Pennsylvania Phi Beta Lambda Advisor of the Year 2013 Government Technology Leadership Award Grants include the 2016 Global Classroom Faculty Grant from Drexel University's Office of International Programs.

Maurizio Leottaمشاهده پروفایل

پژوهشگر

• Test Automation
• Empirical Software Engineering
• Requirements Engineering
• +۶ مورد دیگر

Maurizio Leotta is a faculty member at the Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genova, Italy. His research focuses on software testing automation, empirical software engineering, requirements engineering, business process modeling, and model-driven software development. He has contributed to advancing end-to-end web testing methodologies through tools like Assessor, STILE, and SleepReplacer-GPT, emphasizing robust locators, thread sleep replacement, and parallel test execution optimization. Primary Affiliation : DIBRIS, University of Genova Research Themes : Test Automation, Gamification in Software Testing, Web Accessibility, IoT Systems Testing In recent years, Leotta has explored the integration of large language models (LLMs) in automated testing, comparing browser automation tools (Selenium, Cypress, Puppeteer, Playwright), and analyzing job market trends post-pandemic. His work spans both practical tool development (e.g., TESTQUEST, Mutta) and empirical studies evaluating testing approaches. He actively participates in program committees for testing workshops and collaborates on gamification initiatives in software development education. The 15 most recent publications reflect his expertise in test automation frameworks, gamification strategies, and accessibility enhancements. Articles cover topics such as explicit wait management in web testing, LLM applications for image captioning, and comparative studies of automation tools. His research also extends to IoT system testing, runtime verification, and job market analysis using large-scale job advertisement data.