جست‌وجوی استاد و پژوهشگر

• Digital tracking
• Datafication
• Media studies
• +۵ مورد دیگر

Stine Lomborg is a Professor of Digital Communication at the Department of Communication, University of Copenhagen's Faculty of Humanities. She also serves as Head of the Center for Tracking & Society since 2022. Her research focuses on digital tracking and datafication, examining their impacts on everyday life, work life, and citizenship within welfare societies. Dr. Lomborg's educational background includes a PhD in Media Studies from Aarhus University (2011), an MA in Media Studies from Aarhus University (2009), and Master's studies in Sociology at the University of Washington (2007). Her primary research areas encompass digital tracking, datafication, self-tracking across various life domains, method development in digital media research, and the sociological aspects of media and communication. She leads several major research projects including Datafied Living (funded by the Independent Research Foundation of Denmark and an ERC Starting Grant), Automating Welfare (funded by CHANSE), and Platform Intelligence in news (funded by the Innovation Fund Denmark). Her recent publications demonstrate a strong focus on understanding the societal implications of datafication, with particular attention to automated decision-making, employee productivity tracking, and the ethical dimensions of personal data usage. Her work bridges theoretical media studies with practical applications in welfare systems and everyday life contexts. Dr. Lomborg teaches and supervises students at all academic levels in empirical research methods, media and communication theory, media usage analysis, social media, and organizational communication. She actively engages with the public through media contributions, having appeared in various press outlets to discuss topics related to digital traces, algorithmic systems, and the merging of private and work life in digital contexts.

Raquel Guzmán Ordazمشاهده پروفایل

دانشیار

• Intersectionality
• Gender-based violence
• Gender studies
• +۲ مورد دیگر

Raquel Guzmán Ordaz is an Associate Professor at the University of Salamanca, affiliated with the Department of Sociology and Communication. She is a member of the GIR-Diversitas research group focused on inclusion, diversity, and gender policies, and serves as academic coordinator for the MOOC 'Equality and Women's Empowerment' under the University of Salamanca Foundation. Her career spans interdisciplinary work in sociology, gender studies, and public policy analysis. PhD in Sociology (University of Seville) Degree in Social Communication (Universidad Autónoma Metropolitana Xochimilco, Mexico) Her research centers on intersectionality , gender-based violence , public policy analysis , and international migration , with a focus on marginalized groups. Her recent publications analyze healthcare-associated infection education, aporophobia (aversion to the poor), and novel pedagogical methods. She teaches in the Master's Degree in Public Services and Social Policy and the Degree in Criminology , contributing to debates on ambivalent sexism, sustainable development goals, and intersectional frameworks in social intervention.

Jan van Elderenمشاهده پروفایل

مدرس

• Gamification
• Technology Acceptance
• Data Analytics
• +۳ مورد دیگر

Jan van Elderen is a Lecturer in Informatics and IT at the Academy for Built Environment & Logistics, Breda University of Applied Sciences, where his work bridges gamification, data analytics, and logistics innovation. His research focuses on: Gamification elements and technology acceptance mechanisms Data analytics capabilities for digital transformation Implementation frameworks in logistics and education contexts Game design principles for real-world applications Recent publications (2019-2024) demonstrate consistent exploration of gamification's impact on technology adoption, with increasing emphasis on data-driven logistics solutions. His 2023-2024 work centers on AI implementation frameworks and the Data Analytic Capability Wheel, revealing a strategic shift toward practical digitalization tools for industry applications. Van Elderen served as Co-Investigator in the EU-funded DALI project (2019-2023), developing data science innovations for logistics chains. His media engagements—including 2025 interviews on AI expectations and 2024 discussions on sustainable logistics—highlight his role as an industry commentator on technology adoption challenges.

Pär J. Ågerfalkمشاهده پروفایل

استاد

• digital agency
• artificial intelligence
• digital infrastructure design
• +۸ مورد دیگر

Pär J. Ågerfalk is a Professor at the Department of Informatics and Media , Uppsala University. He is internationally recognized for his work on open source, distributed agile development, and digital innovation. His research spans digital agency, artificial intelligence, digital sustainability, e-health, and pragmatism. PhD in Information Systems Development (Linköping University) Previous roles at Örebro University, University of Limerick, Jönköping International Business School, and Lero – The Irish Software Research Center Research Interests Digital agency and AI Digital infrastructure design Sustainable development in IT Pragmatism in systems development E-health applications Open innovation practices Recent Publications focus on conceptual modeling, digital health applications, workarounds in IS, and privacy/accountability frameworks. His work has appeared in MIS Quarterly, European Journal of Information Systems, and Health Informatics Journal. Scientific Awards AIS Fellow Distinguished Member Cum Laude, Association for Information Systems

Kylie Valentineمشاهده پروفایل

استاد

• Human Services
• Social Policy Research
• Policy Design and Implementation
• +۱۲ مورد دیگر

Professor Kylie Valentine is a leading academic at the University of New South Wales, serving as Director of both the Social Policy Research Centre and the Centre for Social Research in Health. With expertise in social policy, human services, and the sociology of inequalities, she focuses on the impact of policy on marginalized populations, particularly in the areas of family support services, gendered violence, housing and homelessness, and alcohol and other drug services. Education: BA (Hons), PhD from the University of Sydney Her research explores how policies shape social realities and service delivery systems, with particular attention to poverty and disadvantage. She investigates how social problems are constructed in policy and practice, and how knowledge production about these issues occurs within bureaucratic systems. Professor Valentine's recent publications highlight trends in hepatitis C research, domestic violence studies, and housing policy. Her work on hepatitis C examines the sociological implications of viral elimination, while her domestic violence research focuses on technology-facilitated abuse and organizational responses to disclosures. Her methodological approach emphasizes qualitative research and evaluation design, particularly for complex social interventions. She contributes to understanding how marginalized populations experience service delivery systems, and how policy interventions can better address structural inequities. While no specific scientific awards are mentioned in her profile, her research has significant policy implications across multiple sectors including health, housing, and social services.

• Business Analytics
• Health Analytics
• Fraud Analytics
• +۵ مورد دیگر

Raul M. S. Laureano is an Associate Professor at Iscte Business School, Department of Quantitative Methods for Management and Economics, and an Integrated Researcher at BRU-Iscte Business Research Unit. His academic career spans over 30 years since joining Iscte in 1992, where he directs the Master's program in Business Analytics and pioneered postgraduate programs in Applied Business Analytics. His educational background includes a Ph.D. in Management (2007), Master's in Business Sciences (1995), and Bachelor's in Organization and Business Management (1992), all from Iscte. His research focuses on Health Analytics, Fraud Analytics, Public Administration, Tourism Analytics, and Applied Business Analytics, with over 90 scientific publications. His recent publications demonstrate a strong trend toward healthcare analytics (particularly diabetic retinopathy screening modeling), judicial system evaluation through citizen perception, and nonprofit risk management. His work combines agent-based simulation, predictive modeling, and dashboard development for real-world applications in public policy and healthcare. Prémio Científico ISCTE-IUL (2015-2019) for multiple studies including governmental accounting and intellectual capital disclosure Best Paper Award - CISTI 2017 Excellence Paper Award - TMS Algarve 2016 Prémio Professor Doutor Rogério Fernandes Ferreira (2014) He has supervised over 50 master's theses and 4 doctoral theses, currently guiding 4 Ph.D. candidates in Data Science. His research projects include HOPE (Healthcare: Optimize, Predict and Explain) and DAFIM (Fraud Pattern Detection Algorithms), both funded by Iscte. He co-founded WICTA (Special Interest Group on ICT for Auditing & Accounting), now in its 11th edition. His work extends to Data Analytics Group at BRU-Iscte and Information Systems group at ISTAR-Iscte, with significant collaborations including the Order of Certified Accountants (OCC) for Excel training since 2013 and multiple academic institutions across Portugal.

ShengYun (Annie) Yangمشاهده پروفایل

مدرس

• Digital Transformation
• Data-Driven Decision Making
• Artificial Intelligence (AI)
• +۴ مورد دیگر

Dr. ShengYun Yang is a Lecturer in Digital Business at the Business Innovation Knowledge Center of Rotterdam University of Applied Sciences. She bridges academic research with practical applications in digital transformation and data-driven decision-making for SMEs. RSM Erasmus University PhD MIT Executive Certificate in Management Certified Scrum Master (CSM) ORSC Certified Coach Her research encompasses digital transformation, AI adoption, big data maturity, and cyber resilience for SMEs. She integrates these themes into education through: New minor programs (AI & Data-Driven Solutions) Practice-based research projects Curriculum development Industry collaboration Recent publications focus on: Cybersecurity planning frameworks AI-enhanced threat intelligence Data literacy in education Process mining applications Financial NLP compliance tools Data minimization in public sectors She connects research and education through: Project-based learning Corporate training programs Executive coaching Curriculum innovation

Kirsti Askedalمشاهده پروفایل

دانشیار

• Digital Innovation in Healthcare
• Benefits Realization
• Inter-Organizational Complexity
• +۲ مورد دیگر

Kirsti Askedal is an Associate Professor at the University of Agder , affiliated with the Department of Health and Nursing Science . With over 15 years of experience in e-health projects across public and private sectors, her work focuses on digital innovation in healthcare, benefits realization, and inter-organizational complexity. PhD in Information Systems (University of Agder) Master’s in Information Technology (Health Informatics specialization, University of Agder/Aalborg University) Bachelor’s in Nursing (University of Agder) Her research explores: Digital transformation challenges in healthcare Benefits realization models for complex e-health initiatives Interorganizational collaboration in health technology Key publication trends include: Analysis of e-health implementation barriers Strategies for accelerating digital innovation Frameworks for benefits management in healthcare Kirsti supervises students in nursing and health informatics programs and contributes to courses like ICT, Management, and Health Policy . She is part of the Centre for e-Health at UiA and collaborates with Sørlandet Hospital Trust .

• Artificial Intelligence Technologies and Management
• Information Systems and Technologies
• Technology and Innovation Management
• +۱ مورد دیگر

Dr. Muhammed Akif YENİKAYA is an Assistant Professor (Dr. Öğretim Üyesi) at Kafkas University's Faculty of Economics and Administrative Sciences, Department of Management Information Systems. Since 2020, he has held roles including Research Assistant (2020-present), Assistant Director of the Research and Application Center (2022-2024), and Director of the Research and Application Center (2024-present). He advises the Kafkas University Techno Informatics Club. Education PhD in Computer Engineering, Maltepe University (2019-2022) MSc in Computer Engineering, İzmir University of Economics (2016-2018) MSc in Occupational Health and Safety, Kafkas University (2024) Bachelor's in Management Information Systems, Anadolu University (2019-2022) Bachelor's in Western Languages and Literatures, Kafkas University (2022) Associate Degree in Graphic Design, Istanbul University (2022) Research Focus Yenikaya's research integrates artificial intelligence with practical applications across healthcare, agriculture, energy, and management. His work emphasizes deep learning models for medical diagnostics (e.g., retinal and X-ray analysis), sustainable agriculture via IoT-based hydroponic systems, and AI-driven waste management. He also explores organizational digital transformation, technology adoption, and digital leadership strategies in business contexts. Publications Overview His 24 publications demonstrate a strong focus on AI/ML applications in healthcare (e.g., diabetic retinopathy detection, skin cancer diagnosis), sustainable technology (hydroponics, energy efficiency), and digital leadership. Recent work shows increased emphasis on convolutional neural networks and cross-disciplinary solutions for environmental and industrial challenges. Awards and Grants UBYT-2024 Award from TÜBİTAK (2024) Project: Hydroponic Home Agricultural Production System (2023-2025, Project Lead) Project: Digital Content and AR Applications for Climate Change Education (2024, Trainer) Teaching and Advising Teaches courses including Artificial Intelligence , Database Systems , and Mobile Programming at undergraduate/graduate levels. Advises MSc student Rafet Doğrukartal on a QR-code-based inventory management system (2025).

Diana Saplacan Lindblomمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Universal Design
• Ethics in AI
• +۶ مورد دیگر

Diana Saplacan Lindblom is a Researcher at the University of Oslo's Department of Informatics, Faculty of Mathematics and Natural Sciences. She is a member of the Robotics and Intelligent Systems Research Group (ROBIN) and actively contributes to the Vulnerability in Robot Society (VIROS) research project (2021-present) and the Ethical Risk Assessment of Artificial Intelligence in Practice (ENACT) project (2023-present). Dr. Saplacan received her Ph.D. from the University of Oslo in 2020 with a thesis titled "Situated abilities: Understanding Everyday Use of ICTs" from the Design of Information Systems (DESIGN) Research Group. During Spring 2023, she was a visiting researcher at the Human-Robot Interaction Lab, Department of Social Informatics, Kyoto University, Japan, and a guest researcher at Tohoku University's Frontier Research Institute for Interdisciplinary Sciences. Her research focuses on user studies in Human-Robot Interaction (HRI) and Human-Robot cooperation, with particular emphasis on digitalization of home- and healthcare services, robots as welfare technologies, and ethics regarded through Universal Design principles. She investigates privacy, safety, and security aspects related to robots in healthcare settings, bridging legal and technical considerations. Her work often employs qualitative methods including story dialogue techniques to understand user perspectives and professional reactions to emerging technologies. Analysis of her recent publications reveals a strong interdisciplinary approach connecting computer science, social sciences, and healthcare. Her work spans technical aspects of robotics, ethical considerations in AI implementation, and practical user studies across diverse populations including elderly care recipients and healthcare professionals. She frequently examines how Universal Design principles can be applied to social and assistive robots to ensure accessibility and inclusion. Dr. Saplacan has received notable recognition including an Honorable Mention at HRI (2024) and being named among "Women changing the field of AI in Norway" (2021, 2022). She has also earned Best Paper Awards at ACHI-IARIA (2018, 2020) and a Best Paper Finalist Award at ARSO (2021). HRI Honorable Mention (2024) Women changing the field of AI in Norway (2021, 2022) Best Paper Finalist Award - ARSO (2021) Best Paper Award, ACHI - IARIA (2020) Best Paper Award, ACHI - IARIA (2018) Dr. Saplacan has served as co-supervisor for Ph.D. candidates Adel Baselizadeh (completed 2024) and Marieke van Otterdijk (defense scheduled for December 2024). Her research is supported through collaborations with multiple academic partners including SINTEF, HIOF, and NTNU, as well as industry partners such as DNB, Posten, NAV, Medsensio, and Hypatia Learning. She actively contributes to standardization efforts as a member of Standards Norway Committee on AI & Ethics (WG3) and the IEEE Artificial Intelligence Standards Committee. She is a key contributor to the ROBIN research group's work on healthcare robotics and leads efforts in the UD-Robots project, which examines how universal design principles can be applied to robotics. Her work with the Norwegian Council for Digital Ethics and participation in international workshops demonstrates her commitment to shaping ethical frameworks for emerging technologies.

Chikaodi Gloria Ubaمشاهده پروفایل

پژوهشگر ارشد

• Digital Transformation
• Artificial Intelligence
• AI Management
• +۳ مورد دیگر

Chikaodi Gloria Uba serves as a Scientific Associate (Research Fellow) in the Department of Computer Science at the University of Hamburg's Faculty of Mathematics, Informatics and Natural Sciences. Her work centers on the digital transformation of organizations through artificial intelligence, with specific expertise in AI management, lifecycle processes, and MLOps implementation. Education: M.Sc. in Business Engineering Her research explores the strategic integration of AI into enterprise operations, focusing on commissioning frameworks and operationalization through MLOps. She investigates how organizations navigate AI-driven transformation using models like the 3D-Model for enterprise-wide change, bridging technical AI capabilities with business strategy and organizational adaptation. Her scholarly output demonstrates significant contributions to AI transformation literature, highlighted by a Best Paper Award-winning publication at HICSS 2023. This work establishes connections between AI strategy development, implementation challenges, and organizational change management within complex business environments. Awards: Best Paper Award at Hawaii International Conference on System Sciences (HICSS) 2023 She actively supervises bachelor's and master's theses on digital transformation topics, particularly through the Data-driven Solutions for the Smart City Hamburg (D²S²C Hamburg) initiative. Her teaching portfolio shows consistent involvement in innovation-focused courses since 2021, though specific grant funding details remain undisclosed in available materials. As a core member of the IT Management and Consulting (ITMC) research group, she collaborates on interdisciplinary projects addressing real-world technology management challenges, with recent emphasis on smart city applications and AI-driven business innovation.

• Artificial Intelligence
• Responsible AI
• Data Analytics
• +۴ مورد دیگر

Dilal Saundage serves as Senior Lecturer and Associate Dean of Teaching and Learning at Deakin University's Faculty of Business and Law, Department of Information Systems and Business Analytics. With over twenty years of higher education experience, he holds leadership roles including interim Head of Department and Director of Teaching. His academic foundation includes a PhD in Information Systems and Bachelor of Commerce, both from Deakin University. His research spans Artificial Intelligence, Responsible AI, and Digital Transformation with emphasis on user experience with AI agents, Information Systems theory-practice integration, and Visual Analytics. He has developed influential educational programs including Master of Business Analytics and Graduate Certificate of Artificial Intelligence for Business, pioneering MOOC-based curriculum innovation on FutureLearn platform. Analysis of his recent publications reveals strong focus on AI-human interaction dynamics, particularly algorithmic duality effects on user satisfaction (2024) and intelligent decision support systems (2024). His work consistently bridges theoretical frameworks with practical applications in digital transformation, evidenced by crisis management research (2022) and SME engagement studies (2019). Visual analytics remains a cross-cutting methodology throughout his scholarly output. Pro Vice-Chancellor's Lecturing Legend Award (2012) School of Information Systems Award (2009 and 2007) Faculty of Business and Law Awards (2006 and 2003) As an active supervisor, he has guided doctoral candidates Wahyudi Agustiono (2016) and Edyta Rozycki (2015). His successful grant acquisition includes a $220,000 Office for Learning and Teaching project (2012-2014) enhancing collaborative learning through data visualization. He contributes to the Visual Analytics research group while maintaining industry connections through Australian Computer Society's Senior Certified Professional status.

• Information Systems
• Information Security
• Information Management
• +۶ مورد دیگر

Dr. Sarfraz Iqbal is an Assistant Professor at Linnaeus University's Department of Computer and Systems Science. He holds a PhD from Luleå University of Technology, specializing in Information Systems with focus areas of Information Security, ICT4D, and E-learning. His work bridges technical and societal dimensions of digital transformation. Focus areas include data governance, hybrid intelligent systems, and elderly healthcare digitization Active in GDPR compliance research and robotics in home healthcare Contributions to pedagogical development in information security education Research Trends Recent publications demonstrate expertise in: Medical imaging AI applications Public sector information security governance Smart wearables for aging populations Privacy-compliance intersections in emerging technologies Human-centric approaches to machine learning Blockchain data processing challenges

Monika Lanzenbergerمشاهده پروفایل

استادیار

• Semantic Web
• Ontology Alignment
• Information Visualization
• +۴ مورد دیگر

Monika Lanzenberger is an Assistant Professor at the Institute of Software Technology and Interactive Systems, Faculty of Informatics, Vienna University of Technology. Her research focuses on the intersection of Semantic Web technologies, ontology alignment, and information visualization. She has established herself as a notable researcher in visual ontology alignment through her development of the AlViz tool and related publications. Dr. Lanzenberger received her PhD from the Vienna University of Technology, Faculty of Informatics in 2003 and her MSc in Computer Science from the same institution in 2001. She completed a Post-Doc Fellowship (ERCIM) with the NTNU, Department of Computer and Information Science, Trondheim, Norway (February - October 2005) and with the Centre for IT Innovation (CITI) at the CRP Henri Tudor, Luxembourg (November 2005 - July 2006). Her primary research interests center around Semantic Web and Ontology-based Data, with specific focus on ontology alignment and visualization techniques. She has made significant contributions to the field through her work on visual ontology alignment tools, particularly the AlViz system. Her research also extends to Human Computer Interaction, Information Visualization techniques, feminist perspectives on computer science, and online learning and didactics. She has published extensively in top conferences and journals in these areas, with a particular emphasis on making ontology alignment more accessible through visualization. Dr. Lanzenberger has received recognition for her work, including an Outstanding Paper Award in 2002 for her research on the evaluation of navigation in hypertext learning systems. She is an active member of the scientific community, serving as a reviewer for international conferences and co-organizer of workshops in her field. As an educator, Dr. Lanzenberger has taught numerous courses including Information Visualization, Women in Science and Technology, Fundamentals of Methodical Working, and Semi-Automatic Information and Knowledge Systems. She has supervised multiple student projects, Bachelor's theses, and Master's theses, particularly in areas related to information visualization and semantic technologies. She is a member of several professional organizations including IEEE, ÖGAI, OCG, and GI, demonstrating her active engagement with the broader computer science community.

• Medical anthropology
• Consumer culture
• Food and health
• +۴ مورد دیگر

Dorthe Brogård Kristensen is an Associate Professor at the University of Southern Denmark , affiliated with the Department of Marketing & Management . Her work bridges medical anthropology and consumer culture , focusing on intersections of health, body and identity , and medical pluralism , with a regional focus on Chilean and Danish societies . She leads projects on AI in healthcare and digital fitness culture , contributing to debates on self-tracking technologies and health branding . Education : Ph.D. in Anthropology (University of Copenhagen) Key Collaborations : Interdisciplinary teams in Denmark and Chile Her research examines medical decision-making , technological affordances , and consumer strategies for health , with recent publications analyzing AI's impact on radiology and ethical implications of health data . She has presented at conferences on digital health and consumer culture , and her teaching includes medical anthropology and market ethnography at master's and Ph.D. levels.