جستجوی استاد راهنمای دانشگاهی

Kevin Crowston is a Distinguished Professor of Information Science at Syracuse University's School of Information Studies (iSchool), where he examines how information technology enables new organizational forms through empirical studies, theoretical modeling, and system design. His work focuses on coordination-intensive processes in virtual settings, with significant contributions to citizen science, data science teamwork, and journalism transformation. Education A.B. in Applied Mathematics (Computer Science), Harvard University, 1984 Ph.D. in Information Technologies, MIT Sloan School of Management, 1991 Research Focus : Crowston investigates coordination mechanisms in human-AI collaboration, particularly through projects like Gravity Spy (combining citizen scientists with machine learning for gravitational wave analysis) and journalism innovation (e.g., ReelFramer for AI-assisted news-to-video translation). His framework addresses how intelligent systems reshape work design, knowledge production, and team dynamics in scientific and media contexts. Publication Trends : Recent articles (2024-2025) reveal three dominant threads: (1) Human-AI co-creation in journalism (deskilling/upskilling dynamics, creative tool adoption), (2) Citizen science evolution with AI (co-learning systems, lexical entrainment), and (3) Socio-technical governance of intelligent machines (control-accountability alignment, project archetypes). These reflect his central inquiry into how technology reconfigures work structures. Scientific Recognition ACM Distinguished Speaker Research Leadership : Crowston currently directs two major NSF initiatives: (1) HCC grant 21-06865 on intelligent support for non-expert information navigation, and (2) FW-HTF grant 21-29047 exploring human-technology collaboration in journalism. He spearheaded a Research Coordination Network establishing socio-technical frameworks for work in the age of intelligent machines, culminating in a special issue of Information, Technology & People . Collaborative Infrastructure : He co-leads the Gravity Spy citizen science ecosystem (integrating LIGO physicists, machine learning systems, and volunteers) and serves as co-editor-in-chief of Information, Technology and People , previously editing ACM Transactions on Social Computing . His MIDST platform research advances stigmergic coordination for data science teams.

• Information Systems
• Human-Computer Interaction
• Virtual Organizations
• +۵ مورد دیگر

Emilia Mendes is a Full Professor in the Department of Electrical and Computer Engineering at Aarhus University . Her research focuses on Empirical Software Engineering , particularly human-centric approaches, evidence-based decision-making, and the application of machine learning and statistical techniques in software development. Current research themes: Human-Centric Software Engineering, Evidence-Based Research, Statistical/Machine-Learning Techniques, and Value-Based Software Engineering. Developed tools for team climate forecasting, capability measurement, and value-based decision-making. Research Trends: Her work bridges software engineering with psychology (personality traits, team dynamics), machine learning (effort estimation, dementia prognosis), and value-based frameworks for decision-making. She emphasizes industrial applications, including agile methodologies, cross-company predictions, and Bayesian network modeling. Scientific Impact & Awards: 10,018 citations, h-index 58. Ranked #32 in Empirical Software Engineering Scholars (Google Scholar). Ranked #20 in Top Computer Science Scientists in Sweden (2023). Top 2% scientist in the world (2019, 2020, 2022; only female in Sweden for SE in 2022. Nine best paper awards at international conferences. Editorial board member: Information and Software Technology , ACM Computing Surveys , former roles at IEEE Transactions on Software Engineering and others. Grants & Leadership: Awarded €11.921.603 in research grants. Held leadership roles as General Chair (EASE 2017), PC Co-Chair (EASE 2012, ESEM 2012), and active participant in 200+ academic events.

• Software Engineering
• Empirical Software Engineering
• Human-Centric Software Engineering
• +۱۲ مورد دیگر

Anders Haug serves as Associate Professor at the Department of Business and Sustainability (DBS) within the University of Southern Denmark's Kolding campus. Having joined the university in 2008 as Assistant Professor in the Department of Entrepreneurship and Relationship Management before transitioning to his current role in 2010, his academic career spans over 15 years of research and teaching in operations, supply chain, and digital transformation contexts. His work bridges theoretical rigor with practical industry applications, particularly in engineer-to-order manufacturing and logistics sectors. Education: PhD in communication, representation and automation of design knowledge (2005-2007) Haug's research centers on information and knowledge management systems, with deep expertise in data quality frameworks, knowledge-based configuration, and digitalization of business processes. His fingerprint reveals distinctive contributions to product configuration systems, digital twin applications, and supply chain resilience—particularly examining how configurators transform warehouse services, manufacturing processes, and product-service ecosystems. Recent work increasingly addresses sustainability through green dynamic capabilities frameworks and life cycle assessment tools, maintaining strong empirical grounding via case studies in Danish manufacturing. Analysis of his 2024-2025 publications shows converging trends: digital technologies (configurators, digital twins) are examined through operational performance lenses while addressing sustainability imperatives. These works span operations management, information systems, and strategic management disciplines but consistently prioritize practical implementation frameworks for manufacturing SMEs. The research demonstrates methodological diversity—from conceptual modeling to empirical case studies—with strong industry relevance in logistics, engineering-to-order contexts, and manufacturing digitization. Scientific Awards: Top read paper in Business 2017/18 (Wiley) (2019) Haug has supervised 34 teaching courses between 2018-2024 covering business information systems, digitalization projects, and supply chain management. His academic service includes extensive peer reviewing for conferences like NOFOMA and DRS, plus organizational roles in Nordic business research networks. While specific grant details aren't provided, his 175+ research outputs and industry collaborations (evidenced by consultant work since 2006) indicate substantial research funding engagement. Media contributions on 3D printing and business process efficiency demonstrate effective knowledge transfer to practitioners. Though no dedicated research lab is specified, Haug's extensive co-authorship network—including collaborations on projects like digital twin implementation and configurator development—reveals embeddedness in multiple research collectives. His industry-facing approach manifests through case studies with logistics providers, manufacturer partnerships, and practical frameworks for warehouse service design and supply chain resilience.

• Information and Knowledge Management
• Product Configuration Systems
• Supply Chain Management
• +۵ مورد دیگر

Tijs Slaats is an Associate Professor in the Software, Data, People & Society section at the Department of Computer Science, University of Copenhagen. His research focuses on Business Process Management with particular emphasis on declarative and hybrid process notations to provide flexible workflow support for knowledge workers, funded by the Danish Council for Independent Research. His educational background includes: M.Sc. in Information Technology from IT University of Copenhagen Ph.D. in Computer Science from IT University of Copenhagen (supervised by Thomas Hildebrandt) Dr. Slaats specializes in declarative process modeling, particularly Dynamic Condition Response (DCR) graphs which enable flexible workflow systems. His work bridges theoretical foundations with practical applications in cross-organizational settings. Recent research extends into blockchain technologies, smart contracts, and applications in sensitive domains like asylum processing and refugee law. He combines formal methods with empirical evaluation to ensure both correctness and usability of workflow systems. His publication pattern shows increasing application of process mining techniques to blockchain technologies and socially impactful domains, while maintaining core research in Business Process Management. Notable trends include integration of DCR graphs with smart contracts, privacy-preserving techniques for asylum data, and object-centric approaches to process discovery. Research funding includes: Hybrid Business Process Management Technologies project (Danish Council for Independent Research) Technologies for Flexible Cross-organizational Case Management Systems (FLExCMS) industrial Ph.D. project Alongside his academic work, Dr. Slaats maintains strong industry connections through Exformatics A/S where he developed the DCR Graphs workflow solution (www.dcrgraphs.net), and previously worked as a software engineer in the Dutch e-commerce sector. His dual expertise in academia and industry ensures his research addresses real-world workflow challenges while maintaining theoretical rigor.

• Business Process Management
• Declarative Process Modeling
• Hybrid Process Notations
• +۵ مورد دیگر

Diego F. Aranha is an Associate Professor in the Department of Computer Science at Aarhus University . His research focuses on cryptographic systems, cybersecurity, and privacy-preserving technologies with applications in voting systems, post-quantum cryptography, and secure computation. He has contributed extensively to homomorphic encryption, secure multiparty computation (MPC), and cryptanalysis of cryptographic implementations. Key projects include: MPCC (2025-2028) : Multi-Party Computation in the Confidential Cloud SCI (2024-2027) : Secure Computation Infrastructures for the Retail Industry RENAIS (2021-2026) : Residue Number Systems for Cryptography His work emphasizes practical efficiency and formal verification of cryptographic protocols. Recent publications highlight advancements in lattice-based cryptography, secure voting schemes, and mitigating side-channel vulnerabilities in post-quantum algorithms. He actively collaborates on open-source cryptographic libraries and standards, with a focus on bridging theoretical security and real-world implementation challenges.

• Cryptography
• Cybersecurity
• Homomorphic Encryption
• +۷ مورد دیگر

Yvonne Dittrich is a Professor at the IT University of Copenhagen (ITU), affiliated with the Software Development Group. She holds an adjunct professorship at IIT Mandi, India, and has held roles at institutions in Sweden, Canada, and the U.S. Her research focuses on cooperative and human aspects of software engineering, including Continuous Software Engineering (CSE), use-oriented design, and end-user development (EUD). She has led projects like SAIA-Farm (sustainable irrigation via satellite analytics) and contributed to frameworks like 'Cooperative Method Development.' **Education**: PhD in Computer Science (Hamburg University, 1997), M.Sc. from TU Darmstadt. **Research Interests**: She pioneers methods bridging software engineering with human-centric practices, emphasizing sustainability and participatory design. Her work addresses challenges in global software development, agile methodologies, and software ecosystems. **Awards**: TAT-Förderpreis (1989), Best Paper Award (2018), Distinguished Reviewer recognition (2018). **Grants & Leadership**: Led projects funded by the Danish Innovation Fund, EU, and others. Served on editorial boards for IEEE Transactions on Software Engineering and Journal of Systems and Software. **Labs/Teams**: Collaborates with labs in Denmark, India, and Canada on interdisciplinary projects, including smart irrigation systems and fintech ESG data commons.

• Cooperative and Human Aspects of Software Engineering
• Continuous Software Engineering (CSE)
• Use Orientation in Software Engineering
• +۷ مورد دیگر

Markus Strohmaier is Professor and Chair of Data Science in the Economic and Social Sciences at the University of Mannheim, with affiliations as Scientific Coordinator at GESIS – Leibniz Institute for the Social Sciences and External Faculty Member at the Complexity Science Hub Vienna. His interdisciplinary work bridges computer science, economics, and the social sciences. University of Mannheim – Chair for Data Science in the Economic and Social Sciences GESIS – Scientific Coordinator for Digital Behavioral Data Complexity Science Hub Vienna – External Faculty Former Professor at RWTH Aachen University and University of Koblenz-Landau Previous Post-Doc and Visiting Roles at Stanford University, Xerox PARC, University of Toronto, and Graz University of Technology His research focuses on computational social science , algorithmic fairness , network science , and the modeling of human behavior using machine learning and large-scale data. He develops methods to analyze textual, relational, and emerging data types to understand socioeconomic systems and digital societies. The recent articles reflect a strong trend in studying inequality in algorithmic systems , governance in decentralized organizations (DAOs) , and psychological profiling of AI . His work spans high-impact journals like Nature and Scientific Reports , emphasizing fairness, transparency, and societal impact of data-driven technologies. Notable scientific contributions include: Editor-in-Chief of EPJ Data Science (2018–2022) Founding co-chair of the Computational Social Science section of the German Informatics Society He advises students and leads research projects on algorithmic fairness, digital governance, and behavioral modeling. His team engages in both fundamental methodological development and applied studies in real-world digital platforms. He has been involved in significant grants and collaborative initiatives around digital behavioral data and computational social science infrastructure. His lab and projects include the Algorithmic Fairness initiative and the interactive visualization tool Planets of Disparity , which explores how algorithms behave on different network structures. These efforts aim to enhance public understanding and technical scrutiny of algorithmic systems.

• Computational Social Science
• Data Science
• Machine Learning
• +۷ مورد دیگر

Kasper Hornbæk is a Professor at the Department of Computer Science, University of Copenhagen, specializing in Human-Centred Computing. He conducts research in human-computer interaction (HCI), usability, eye tracking, visualization, and software engineering. Primary Fields: Human-Computer Interaction, Usability Research, Eye Tracking, Visualization, Software Engineering Recent Collaborations: International (country/territory-level) partnerships in HCI and AI Research Outputs: 228 publications focusing on multimodal interaction, VR, and causal modeling His work explores audio-tactile integration, theoretical frameworks in HCI, and principles for user interface design through empirical studies and meta-analyses. Recent projects include heartbeat resonance interfaces and critiques of experimental methodology. Contact: kash@di.ku.dk | Research Website

• Human-Computer Interaction
• Usability Research
• Eye Tracking
• +۲ مورد دیگر

Sandra Greiner is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where she conducts research in artificial intelligence, cybersecurity, and programming languages. Her work is centered on improving the reliability and adaptability of control software in cyber-physical production systems through advanced software engineering techniques. Her research interests include software variability modeling , design by contract , and the application of generative AI in automating software development tasks. She focuses on ensuring high reliability in software-intensive systems, particularly in industrial automation contexts. Her work bridges theoretical computer science with practical software engineering challenges. The recent publications highlight a strong trend in leveraging AI for software contract generation, enhancing feature tracing with reliable knowledge, and managing variability in complex production systems. Her research contributes to model-driven engineering, software product lines, and intelligent software assistance, with a consistent emphasis on empirical validation through case studies. Sandra actively collaborates with researchers across Europe, particularly in Austria and Germany, contributing to top-tier conferences such as SPLC, MODELS, and GPCE. Her work has been published in high-impact journals and conference proceedings, reflecting active engagement in the global software engineering community. She is affiliated with the IMADA research center at SDU, as evidenced by her institutional email. No formal awards or fellowships are mentioned in the provided data. Sandra advises no publicly listed students, and there is no indication of lab leadership or team management in the text. However, her collaborative publications suggest participation in research teams focused on software product lines and AI-driven software engineering.

• Artificial Intelligence
• Cybersecurity
• Programming Languages
• +۹ مورد دیگر

Yingguang Chu is an Associate Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, specializing in Mechatronics. His research focuses on co-simulation systems, digital twins, and marine engineering applications. Research Interests : Digital twin technologies, co-simulation frameworks, marine crane systems, hydraulics, and control algorithms. Projects : Active participant in the ShippingLab II project (2024-2027) on digital twins and human factors in vessel performance. Research Output Trends : Recent work emphasizes physics-inspired neural networks for mobile machinery dynamics, environmental load sensitivity analysis, and Vico-based co-simulation systems for marine operations. Publications frequently address crane path planning, digital twin implementation, and dynamic response optimization. Scientific Awards : IEEE Robotics and Automation Magazine Best Paper Award (2024) Teaching Responsibilities : Supervises master's theses on topics like CFD simulations, membrane valve systems, and fluid mechanics, while teaching mobile hydraulics courses.

• Marine Engineering
• Digital Twins
• Co-simulation Systems
• +۳ مورد دیگر

Anders Stengaard Sørensen is an Associate Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), and is affiliated with the SDU UAS Center. His work integrates robotics, digital electronics, and human-centered design for applications in physical training and rehabilitation. Position: Associate Professor Institution: University of Southern Denmark Research Unit: Maersk Mc-Kinney Moller Institute, SDU UAS Center Email: anss@mmmi.sdu.dk ORCID: https://orcid.org/0000-0003-0184-7281 His research interests include robot technology, modular robotics, sensors, programmable digital electronics, and human-robot interaction, with a focus on welfare and rehabilitation technologies. He explores how behavior-driven development and gesture-based programming can empower non-experts to program collaborative robots for physical training. The recent articles highlight a strong trend in end-user development for robotics, particularly in physical training and rehabilitation contexts. The publications emphasize participatory design, gesture-to-behavior translation, and domain-specific languages to make robot programming accessible. The research bridges computer science, engineering, and healthcare, focusing on usability, accessibility, and practical implementation in real-world training scenarios. Anders Stengaard Sørensen has been actively involved in research projects such as RoboRehab and TRINITY, which focus on robot-assisted rehabilitation and interdisciplinary human-technology integration. He has supervised student projects in robotics and electronics and contributes to teaching in regulation technology and programmable electronics. He also engages in public dissemination through media and professional workshops. TriDisciplinary Contexture for Motion, Technology and Humans - TRINITY (Co-PI) The Effect of Robot-Assisted Versus Standard Training on Motor Function Following Subacute Rehabilitation after Ischemic Stroke – RoboRehab (Co-supervisor) Fleksibel Kraftplatform til elite training (Project manager) MeCaMInD: Method Cards for Movement-based Interaction Design (Project participant) FSSoV: Fodbold som sundheds- og velfærdsinnovator (Project participant) He has participated in workshops, public lectures, and media engagements, promoting robotics in societal and health contexts. His collaborative network spans engineering, sports science, and clinical biomechanics, reflecting the interdisciplinary nature of his work.

• Robot Technology
• Modular Robotics
• Sensors and Sensing
• +۱۲ مورد دیگر

Toke Rammer Nielsen is an Associate Professor and Head of Section in the Energy and Services group at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). He has been a key academic figure at DTU since 1998, progressing from Research Assistant to Assistant Professor (2002–2007) and then to Associate Professor from April 2007 to the present. His work is central to advancing sustainable building design and energy efficiency in residential structures. Ph.D., Technical University of Denmark (1999–2003) M.Sc.(Eng), Technical University of Denmark (1993–1998) His research focuses on integrated design methods for energy-efficient buildings, with a strong emphasis on modeling ventilation, heating, and lighting systems. He investigates indoor environmental quality and energy performance in both whole buildings and individual components. His recent work explores natural ventilation in retrofitted apartment buildings, solar shading solutions to mitigate overheating, and climate facade technologies for historical buildings. These efforts align with UN Sustainable Development Goals related to sustainable cities and climate action. The most recent publications (2021–2025) reveal a consistent focus on building energy performance, natural ventilation, and retrofit strategies. Key themes include daylight optimization, overheating risk reduction, and cost-effective renovation measures. His work combines simulation tools like EnergyPlus with empirical studies on residential buildings, particularly in the Danish context. He also contributes to methodological development in energy certification systems. He actively supervises PhD students and participates in academic governance through roles such as Chairman of PhD Assessment Committees. He serves as a peer reviewer for journals like Energy and Buildings , contributing to scholarly quality in the field. Nielsen leads and participates in research projects such as 'Climate Facade' and 'Reduktion af risiko for overtemperatur i etageboliger', focusing on passive technologies, heat insulation, and solar control. His team collaborates on data-driven design of district heating systems and innovative double-loop networks for integrated heating and cooling. These initiatives involve interdisciplinary teams and external funding, indicating substantial grant acquisition and collaborative research capacity.

• Energy Engineering
• Building Energy Efficiency
• Sustainable Building Design
• +۱۴ مورد دیگر

Dr. Daniel Russo is an Associate Professor in the Department of Computer Science at Aalborg University, Copenhagen. He holds a PhD from the University of Bologna and previously conducted postdoctoral research at University College Cork and Lero. His research focuses on empirical software engineering, AI adoption in development processes, diversity in software teams, and pandemic-driven work transformations. He has secured €1M+ in research funding and authored over 50 peer-reviewed publications. Key collaborations include defense agencies and multinational banks. Education Background: PhD in Computer Science and Engineering, University of Bologna Postdoctoral Researcher, University College Cork/Lero Research Interests: Russo explores how AI integration impacts software lifecycle practices, investigates Agile scaling effectiveness, and examines diversity's dual role in fostering innovation while managing team conflicts. His work emphasizes human-centered approaches to AI adoption, ensuring ethical and inclusive technological progress. Article Trends: Recent publications highlight generative AI's ethical implications, hybrid work models' evolution, and empirical studies on Agile methodologies. His work bridges technical innovation with organizational and human factors. Awards: ACM Future of Computing Academy (2019) Grants & Advising: Lead/co-investigator on projects totaling €1M+ funding. Advises on AI ethics, Agile transformations, and pandemic-era workplace adaptations. Collaborates with industry partners to translate research into practical solutions. Labs/Teams: Active in cross-disciplinary collaborations involving Lero, defense agencies, and financial institutions, focusing on applied software engineering challenges.

• Empirical Software Engineering
• AI Adoption in Software Development
• Diversity and Inclusion in Software Teams
• +۴ مورد دیگر

Aniko Hannak is an Assistant Professor at the Department of Informatics, University of Zurich, where she conducts interdisciplinary research at the intersection of computer science and social science. She was previously faculty at the Vienna University of Economics and Business and a member of the Complexity Science Hub. Her research focuses on computational social science, particularly the co-evolution of online systems and user behavior. She investigates how algorithmic systems in search engines, e-commerce platforms, and online labor markets can inherit and amplify societal biases. Her work emphasizes transparency and accountability through the development of algorithmic auditing methodologies to uncover filter bubbles, price discrimination, and inequality in digital environments. The trend in her recent publications reveals a strong commitment to understanding systemic inequities in technology-mediated interactions, spanning domains such as software development communities and public health communication during crises. Her work combines large-scale data analysis with social theory to assess real-world impacts of automated systems. Scientific Awards: No scientific awards listed in the provided text. Advising and Grants: While no formal advisees or grant funding are explicitly mentioned in the provided text, Aniko Hannak leads impactful research in digital equity and algorithmic transparency. Given her publication record and institutional affiliations, she likely mentors students and secures competitive research funding, though specific details are not available here. Labs and Research Teams: She was part of the Lazer Lab and the Algorithmic Auditing Group during her PhD at Northeastern University. At present, her research group at the University of Zurich continues to advance algorithmic auditing practices, though the exact name of her current lab is not specified in the text.

• Computational Social Science
• Algorithmic Auditing
• Online Labor Markets
• +۵ مورد دیگر

Wouter Van den Broeck is a Research Fellow at the ISI Foundation in Turin, Italy, specializing in the intersection of network science, computational social science, and epidemiology. His research focuses on: Empirical analysis of human contact networks using wearable sensor technology Computational modeling of infectious disease transmission dynamics Development of tools for epidemic forecasting and public health intervention From 2009 to 2013, Dr. Van den Broeck published 15 influential papers that established new methodologies for measuring face-to-face interactions in real-world settings (schools, hospitals, conferences) and applying this data to model pandemic influenza spread. His work during the 2009 H1N1 pandemic provided critical insights for resource allocation and intervention strategies through spatially structured epidemic models and global simulation tools like GLEaMviz. He has collaborated extensively with leading researchers including Alain Barrat, Ciro Cattuto, and Alessandro Vespignani across multiple high-impact publications in journals such as PLoS ONE, BMC Medicine, and EPJ Special Topics, demonstrating consistent contributions to understanding how network structures influence disease transmission.

• Network Science
• Computational Social Science
• Epidemiology
• +۳ مورد دیگر