جست‌وجوی استاد و پژوهشگر

Kurt Squireمشاهده پروفایل

استاد

• Educational Technology
• Game-Based Learning
• Augmented Reality
• +۴ مورد دیگر

Professor Kurt Squire is a leading scholar in games research and development at the University of California Irvine, affiliated with the Donald Bren School of Information and Computer Sciences. He holds a Ph.D. in Education from Indiana University (2004). His work focuses on leveraging computer games and augmented reality to enhance learning outcomes and social impact. Squire has pioneered platforms enabling students and teachers to co-create educational tools, fostering global grassroots communities through collaborative game design. Notable contributions include the Games + Learning + Society (GLS) center, which he co-founded with Constance Steinkuehler and has since relaunched at UCI. He currently explores AR applications, community-based AI design, and mitigating right-wing extremism in gaming ecosystems. Squire’s research has been funded by NSF, NIH, and major foundations, with over a dozen commercially launched games stemming from his projects. Education: Ph.D. in Education, Indiana University, 2004 Research Interests: Squire investigates how games and emerging technologies can address societal challenges through participatory design. His work spans educational equity, cognitive development via casual gaming, and ethical AI frameworks. He emphasizes translating academic innovations into market-ready solutions while aligning with institutional goals. Recent projects include wearable apps for youth self-regulation and trauma-informed GenAI design with marginalized communities. Notable Achievements: Recipient of the Inaugural Hasso Plattner Endowed Chair in Artificial Intelligence (2025) Co-founder of GLS, a globally influential research hub Authored Making Games for Impact (2021), a practitioner-focused guide Labs/Teams: Directs the Games + Learning + Society center at UCI, focusing on XR research, well-being technologies, and entrepreneurship in education. Collaborates with MIT on augmented reality initiatives.

• Anomaly Detection
• Microservices
• Software Engineering
• +۲ مورد دیگر

Yuqing Wang is a Postdoctoral Researcher in the Department of Computer Science at the University of Helsinki, Finland, actively contributing to software engineering research with expertise in anomaly detection for microservices and test automation maturity. Contactable via yuqing.wang@helsinki.fi and phone +358505934630/+358294151310, Wang participates in major EU and Academy of Finland projects including LUMI AI Factory (2025-2028) and MuFAno (2023-2026). Research focuses on two interconnected domains: anomaly detection in cloud-native systems using meta-learning for cross-system log analysis and trace categorization, and test automation maturity assessment frameworks. Recent work pioneers datasets like LO2 for microservice API anomalies and tools like LogLead for integrated log processing, while earlier studies establish quantitative links between test automation maturity and product quality in open-source ecosystems. Publications reveal an evolving trajectory from foundational test automation maturity models (2018-2020) toward advanced AI-driven anomaly detection (2024-2025), with 2022-2023 bridging both domains through empirical studies on agile practices and maturity impacts. Current work emphasizes cross-system generalization and multimodal fusion for microservice reliability. No scientific awards are documented in available sources. Wang contributes to two significant grants: the EU Horizon Europe LUMI AI Factory developing AI service infrastructure (2025-2028), and the Academy of Finland MuFAno project advancing multimodal anomaly detection for microservices (2023-2026). These projects drive collaboration with industry partners on real-world system reliability challenges.

Shobana Nair Partingtonمشاهده پروفایل

دانشیار

• Hospitality Management
• Tourism Management
• Events Management
• +۵ مورد دیگر

Dr. Shobana Nair Partington serves as Head of the Department for Operations, Technology, Events, and Hospitality Management at Manchester Metropolitan University's triple-accredited Business School, leading a team of 60 academic staff serving over 2,000 students. With over 20 years of academic leadership experience, she also holds strategic university roles as Academic Co-Chair for the Race Equality Charter and Academic Co-Director for Accreditation. Her international teaching engagements span Switzerland, Bulgaria, and Malaysia, reflecting her global perspective on business education. Her educational foundation includes a Master's degree in Economics from the University of Leeds, funded by a Foreign and Commonwealth Office scholarship, and doctoral research at Manchester Metropolitan University supported by the Low Pay Commission. These qualifications underpin her evidence-based approach to labor market analysis. Shobana's research centers on systemic inequalities in hospitality employment, with particular focus on pay practices, working conditions, and minimum wage impacts. Her work bridges economic theory and practical industry applications, examining how structural factors shape employee experiences in service sectors. She integrates psychological safety frameworks with innovation studies to develop actionable insights for organizational change. Analysis of her publication trajectory reveals persistent themes in hospitality labor economics, with evolving emphasis from foundational minimum wage studies toward contemporary investigations of psychological safety and innovation. Her research consistently connects policy implications with operational realities in hotels, cruise ships, and tourism enterprises. Her scholarly contributions have been recognized through: Senior Fellowship of the Higher Education Academy Fellowship of the Institute of Professional Development As an academic supervisor, she has guided six PhD candidates to completion on topics ranging from hotel information systems to tourist transport experiences. Her department drives innovation through the Digital & Technology Solutions degree apprenticeship and applied research initiatives that help businesses adapt to technological disruption. She actively serves on the Chartered Association of Business Schools' Learning, Teaching and Student Experience Committee and as a Senator for the Institute of Professional Development. The department operates as a dynamic hub for industry-engaged scholarship, with faculty from diverse nationalities developing curricula that integrate digital fluency, data analytics, and creative problem-solving. Their research directly informs sector practices while addressing critical challenges like student award gaps and workplace inclusion through the Race Equality Charter framework.

Jinghui Chengمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Software Engineering
• User-Centered Design
• +۳ مورد دیگر

Jinghui Cheng is an Associate Professor at the Department of Computer Engineering and Software Engineering at Polytechnique Montréal . He holds a PhD in Computer Science from DePaul University (2017), preceded by an MSE and BSE from Xi’an Jiaotong University, China. His research uniquely bridges Human-Computer Interaction (HCI) with Software Engineering , focusing on technologies that support domain experts with specialized information needs. Awards : Canada Research Chair Tier 2 in User Experience Design of Data-Driven Systems His recent work examines playful AI interactions (e.g., ChatGPT), designer-developer collaboration , and privacy motivation in UI/UX. He actively supervises PhD and Master’s students in the HCD Lab , with over 20 completed theses. Collaborations span institutions like the École Polytechnique and partnerships with researchers such as Jin L. C. Guo and Bram Adams . Cheng’s 15 most recent publications (2023-2025) reflect trends in AI-assisted design , usability in open-source communities , and ethical technology development . His grants include the AUDACE grant (2020) co-led with Dr. Gabrielle Pagé, focusing on healthcare applications.

Juho Leinonenمشاهده پروفایل

پژوهشگر ارشد

• Computing Education
• Artificial Intelligence
• Educational Technology
• +۳ مورد دیگر

Juho Leinonen is an Academy Research Fellow at Aalto University's Department of Computer Science, Finland, specializing in AI-enhanced computing education. His work focuses on leveraging large language models (LLMs) to transform programming instruction through personalized learning analytics and educational technology. Education Background: PhD in Computer Science, University of Helsinki (2019) Docent (Adjunct Professor) in Computer Science, University of Helsinki Postdoctoral research at The University of Auckland, Aalto University, and University of Helsinki Research Focus: Leinonen's work centers on three interconnected pillars: (1) developing fine-grained learning analytics to decode student programming behavior; (2) applying LLMs to create adaptive educational tools for diverse learners; and (3) implementing learnersourcing strategies for scalable resource generation. His research particularly addresses challenges in multilingual programming education and responsible AI integration, with emphasis on non-native English speakers and novice programmers. Publication Trends: Recent publications (2024-2025) reveal a concentrated exploration of generative AI in computing education, with 85% focused on LLM applications. Key themes include synthetic data generation for educational research, multilingual prompting systems, and ethical frameworks for AI feedback. His work demonstrates both practical implementations (e.g., autocompletion quizzes) and critical analyses of AI limitations in educational contexts. Awards & Recognition: ACE2024 Best Paper Award for LLM-generated worked examples study UKICER 2023 Best Paper Award for achievement goals research ACE 2023 Best Practitioner Paper ICER 2022 Best Paper Award for programming exercise generation SIGCSE TS 2022 Best Paper in Computing Education Research ACE 2021 Best Paper Award for contextualized problem descriptions Research Leadership: As principal investigator of the Academy of Finland-funded project 'Advanced Student Modeling and Tailored LLMs for Personalized Learning', Leinonen supervises PhD students and postdocs while leading international collaborations with institutions including The University of Auckland and University of Helsinki. His grant portfolio focuses on ethical AI deployment in education and cross-cultural computing pedagogy. Collaborative Networks: He maintains active partnerships with leading computing education researchers like Paul Denny (Auckland), Arto Hellas (Aalto), and Andrew Luxton-Reilly (Auckland), evidenced by 90% co-authored publications. His work appears consistently in top venues including ACM SIGCSE, ICER, and ACE conferences.

Shurui Zhouمشاهده پروفایل

استادیار

• Software Engineering
• Open-Source Collaboration
• Fork-Based Development
• +۴ مورد دیگر

Shurui Zhou is an Assistant Professor at the University of Toronto , with primary appointment in the Department of Electrical & Computer Engineering and cross-appointments in the Department of Computer Science and the Department of Mechanical & Industrial Engineering . She is also affiliated with the Schwartz Reisman Institute and a member of the Data Sciences Institute . Zhou directs the FORCOLAB , focusing on enhancing collaboration in distributed software teams, especially in open-source and AI-enabled systems development. Her research integrates software engineering principles with human collaboration insights from organizational behavior, aiming to improve collaboration efficiency through tooling and interdisciplinary methods. Recent publications (2023-2025) explore LLM integration in software development , sustainability in scientific open-source communities , and collaborative challenges in computer-aided design . Education: PhD (2020) from Carnegie Mellon University's Software and Societal Systems Department , MSc from Peking University , BSc from Xi'an Jiaotong University Scientific Awards: Gordon Slemon Teaching of Design Award (2022) Grants: Collaborator on NSERC Alliance-Mitacs Accelerate Grant (2025) for LLM analysis in political data Her lab, FORCOLAB, develops tools like forks-insight.com to analyze GitHub forks and Redundant PR detection bots . Zhou organizes events like the Responsible LLM-Human Collaboration Hackathon (2024) and actively serves on conference committees including ICSE 2025 and ICSME 2024 .

• Software Engineering
• Empirical software engineering
• Global software engineering
• +۲ مورد دیگر

Casper Lassenius serves as an Associate Professor in the Department of Computer Science at Aalto University, Finland, where he is affiliated with the Software and Service Engineering (SSE) research group. His academic role focuses on advancing empirical methodologies within software engineering through rigorous research and industry collaboration. Professor Lassenius's research centers on Empirical Software Engineering, with specialized expertise in Agile and Lean software development methodologies. His work critically examines large-scale agile transformations, global software engineering challenges, and the delicate balance between organizational control and team autonomy. He investigates practical implementations of scaling frameworks like SAFe across diverse sectors including finance and public administration, addressing real-world adoption barriers and optimization strategies. Analysis of his 2020-2024 publications reveals dominant research trajectories in agile scaling frameworks, backsourcing of IT services, and organizational dynamics in large-scale development. His empirical studies consistently employ systematic literature reviews and case-based approaches to identify challenges like delay archetypes and autonomy-control tensions, providing actionable insights for enterprise agile adoption. Lassenius is an active contributor to the Software and Service Engineering (SSE) research group, which drives innovation in software processes, service design, and empirical validation of development practices. This collaborative environment enables his research to bridge theoretical rigor with industry applicability, particularly in complex organizational contexts.

• Organizational Behavior
• Work Design
• Gig Economy
• +۳ مورد دیگر

Fabiola Bertolotti is a Full Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. Her research focuses on organizational behavior, work design in digital platforms, gig economy dynamics, and multiple team membership (MTM). She teaches courses such as 'Organizational Systems and Behavior' for Management Engineering students, emphasizing strategic design, group dynamics, and leadership theories. Her work integrates empirical studies with interdisciplinary frameworks to address contemporary workplace challenges like algorithmic work environments and hybrid collaboration. Key research interests include the impact of technology on work-life balance, algorithmic governance in online labor markets, and identity formation in inter-organizational partnerships. She has published extensively on topics like crowdwork platforms, MTM's influence on career trajectories, and boundary spanning in innovation projects. Her studies often employ mixed-methods approaches, combining field observations with surveys and interviews. Bertolotti's contributions bridge organizational theory, management practices, and technological advancements, offering insights into future of work dynamics. Her recent publications explore algorithmic embeddedness in gig work, dynamic stereotyping in academic-practitioner exchanges, and the trade-offs between creativity and work-life balance in collaborative spaces. While no specific awards are listed, her prolific output reflects significant scholarly impact. Teaching responsibilities include guiding students through foundational concepts in organizational theory and strategic design, with a focus on real-world case analysis and participatory learning.

Vincent Choمشاهده پروفایل

دانشیار

• Educational Leadership
• School Discipline Technology
• Data-Informed Decision Making
• +۳ مورد دیگر

Vincent Cho serves as Associate Professor and Program Director for the Educational Leadership (Ed.D.) and Professional School Administrator Program (PSAP) at Boston College's Department of Educational Leadership & Higher Education. His research bridges educational leadership theory with practical technology integration challenges in K-12 settings, focusing on the human dimensions of digital transformation in schools. His academic credentials include: Ph.D. from the University of Texas at Austin M.Ed. from the University of Houston B.A. from Boston College Cho's research examines how technologies reshape school discipline systems, data-informed decision processes, and professional identities of educators. With extensive experience as a former classroom teacher and school administrator, he investigates the 'people problems' that emerge during technology implementation, particularly how digital tools create unintended consequences in school organization and culture. His work emphasizes practical solutions for educational leaders navigating the digital age. Analysis of his recent publications (2016-2024) reveals three evolving research trajectories: (1) the impact of behavior management technologies on school discipline equity, (2) data system implementation challenges in educational leadership, and (3) social media's role in professional learning networks. His 2024 work on 'The New Discipline Machinery' critically examines algorithmic behavior tracking apps, while earlier award-winning research (2012-2021) established foundational insights into Twitter-based knowledge brokering among school leaders. His scholarly recognition includes: Carol Weinstein Outstanding Research Award from AERA's Classroom Management SIG (2021) Early Career Scholar of Color award from AERA's Committee on Scholars of Color (2013) Best Paper Award from AERA's Organizational Theory SIG (2012) As Program Director for BC's Ed.D. program, Cho mentors doctoral candidates in educational leadership while maintaining active research collaborations. His current affiliations include serving as Affiliate Faculty for UCEA's CASTLE Center (2021-present) and Advisory Board Member for UMass-Lowell's Center for Program Evaluation (2020-present), reflecting sustained engagement with national educational technology initiatives. Funded projects include EU Parliament presentations on digital-era school innovation and multi-year studies of data system impacts on student achievement.

• Software Engineering
• Agile Methodologies
• Global Software Development
• +۵ مورد دیگر

Prof. D.M. van Solingen serves as a Professor in the Software Engineering department within the Electrical Engineering, Mathematics and Computer Science school at Delft University of Technology. His academic career spans over two decades with continuous research output through 2024, demonstrating active engagement in both theoretical and practical aspects of software development. His research interests focus on Agile methodologies , global software development , and value-driven project management . Key areas include empirical studies on offshoring economics, Scrum framework optimization, stakeholder value quantification, and organizational transformation during Agile adoption. His work bridges academic rigor with industry applicability, particularly in measuring the true costs of distributed development and identifying critical turnover impacts in global teams. Analysis of his recent publications (2016-2024) reveals a strong trend toward practical Agile implementation and value measurement . Over 60% of his work addresses real-world challenges in scaling Scrum, optimizing offshoring strategies, and quantifying business value. His research increasingly incorporates empirical data from industry collaborations, with significant focus on the human factors affecting software project outcomes. EASE 2016 Best Paper Award for research on stakeholder satisfaction and project impact Prof. van Solingen's advisory work includes doctoral supervision and industry collaborations focused on software process improvement. His research has attracted significant industry interest, evidenced by 118 Mendeley readers for his 2013 media coverage on hyperproductive Scrum teams and consistent Scopus citations across his publications. His work demonstrates sustained engagement with both academic and practitioner communities through books, conference workshops, and empirical studies.

• Applied Linguistics
• English for Specific Purposes (ESP)
• Language Assessment
• +۳ مورد دیگر

Dr. Vesna Petrović is an Assistant Professor at the Department of Social and Human Sciences within the Faculty of Technical Sciences in Čačak , part of the University of Kragujevac . She holds a Doctor of Science in Philological Sciences (English Language) and specializes in English for Specific Purposes (ESP) pedagogy. PhD in Philological Sciences (2022), University of Belgrade Master of Academic Studies in English Language and Literature (2010) Undergraduate Degree in English Language and Literature (2000) Her research focuses on Task-Based Learning (TBL) , Oral Presentation Assessment , and Technology-Enhanced Language Learning . She has developed multicriteria rating scales for communicative competence evaluation and investigated the role of MS Teams in pandemic-era ESP instruction. Recent work explores foreign language anxiety reduction in digital environments. She co-authored over 15 peer-reviewed publications, including articles in ELOPE and Teaching Innovations , and presented at conferences like TIE and EUROCALL . She participates in Erasmus+ projects and leads professional development seminars for language educators.

Kari Smolanderمشاهده پروفایل

استاد

• Software Engineering
• Cloud Computing
• Digital Transformation
• +۴ مورد دیگر

Kari Smolander is a Professor in Software Engineering at the LUT School of Engineering Sciences, Finland. They focus on cloud computing, digital transformation, and software development practices. Research Interests Smolander's research spans serverless computing, cloud migration strategies, DevOps, and digital identity architecture. Their work examines socio-technical challenges in platform ecosystems and enterprise software development. Publication Trends Recent publications (2024-2025) emphasize serverless computing frameworks, cloud integration challenges, and digital identity systems. Studies analyze AI adoption gaps, technical debt in cloud environments, and collaboration mechanisms in B2B platform development. Software Engineering Leadership As a faculty member, Smolander contributes to advancing cloud-native software practices through empirical studies and conceptual frameworks for modern digital infrastructure.

Sal Consoliمشاهده پروفایل

مدرس

• Psychology of Language Education
• Language Learning Motivation
• Learner Engagement
• +۵ مورد دیگر

Dr. Sal Consoli is a Lecturer in Language Education and Director of the Moray House School of Education and Sport at the University of Edinburgh. His research focuses on language learning motivation, teacher wellbeing, and practitioner research methodologies, with a particular emphasis on narrative inquiry and reflexivity in applied linguistics. He holds a PhD from the University of Warwick, alongside advanced research qualifications. Dr. Consoli is a Visiting Research Fellow at KTH Royal Institute of Technology and serves on the executive committees of several academic associations, including BAAL and IAPLL. Education: PhD in English Language Teaching & Applied Linguistics (University of Warwick) PGDip in Research Methods (University of Warwick) MA in English Language Teaching & Applied Linguistics (King's College London) His research explores the intersection of personal narratives and educational practices, promoting practitioner research as a tool for professional development. He has co-edited works on reflexivity in applied linguistics and narrative inquiry in System journal. Dr. Consoli supervises PhD students in areas like language education psychology and internationalisation of education. His recent conference engagements include keynotes on motivation research and academic publishing.

Senta Goertlerمشاهده پروفایل

استاد

• Technology-Mediated Language Learning
• Computer-Mediated Communication
• Online Education
• +۴ مورد دیگر

Senta Goertler is a Professor of German and Second Language Studies at Michigan State University's College of Arts & Letters. She serves as co-editor of Second Language Research and Practice and is a Big Ten Academic Alliance Academic Leadership Program Fellow. Research Focus: Technology-mediated language learning (computer-mediated communication, virtual reality simulations, hybrid instruction) Teaching: German language courses, second language acquisition theory, language pedagogy Leadership: Big Ten Academic Alliance Fellow, editorial leadership Her work examines the intersection of digital tools and language education, particularly crisis-driven pedagogical shifts. Recent publications analyze emergency remote teaching, virtual reality applications in medical Spanish instruction, and flipped classroom models in Japanese higher education. Earlier research explored study abroad programs, blended learning frameworks, and digital equity in CALL (Computer-Assisted Language Learning). She has contributed to understanding affect in remote teaching, telecollaboration assessment, and evidence-based language goal setting. Her projects often bridge theory and practice, translating empirical findings into classroom strategies. Scientific Awards: Big Ten Academic Alliance Academic Leadership Program Fellow Grants: Not explicitly mentioned in text Advising: Supervises research on technology-mediated language learning, though specific student names are not listed

• Agile Software Development
• Large-Scale Agile
• Empirical Software Engineering
• +۱ مورد دیگر

Maria Paasivaara serves as an Adjunct Professor in the Department of Computer Science at Aalto University, specializing in empirical investigations of agile methodologies within large-scale organizational contexts. Her research centers on Agile Software Development with concentrated expertise in Large-Scale Agile Transformations . She critically examines the implementation of frameworks like SAFe in enterprise environments, particularly within the financial sector, analyzing challenges in achieving technical excellence, balancing organizational control with team autonomy, and sustaining continuous improvement post-transformation. Her methodological approach consistently employs empirical techniques including case studies, practitioner surveys, and longitudinal observations to derive actionable insights for industry. Analysis of her 2021-2024 publications reveals dominant research trajectories: rigorous examination of SAFe adoption patterns across financial institutions, systematic investigation of agile scaling framework motivations and outcomes, and nuanced exploration of how technical excellence is conceptualized and operationalized in practice. Her work consistently bridges academic rigor with industry relevance, emphasizing contextual factors in agile transformations and identifying critical success factors for sustainable agile adoption at scale.