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Eleonora ViganòView profile

Researcher

• Responsible AI
• AI Ethics
• Corporate Ethics and Compliance
• +3 more

Dr. Eleonora Viganò serves as Senior Researcher at the Swiss Institute for Entrepreneurship (SIFE) within the University of Applied Sciences of the Grisons and concurrently holds a Project Leader position at the University of Zurich's Digital Society Initiative (DSI). Her dual institutional affiliation bridges applied research in entrepreneurial contexts with broader digital ethics policy development. Her research program critically examines the implementation gap between ethical AI principles and organizational practice, with particular expertise in responsible AI deployment challenges, metaverse ethics, corporate compliance systems, and digital well-being technologies. Current projects analyze Swiss organizational pain points in operationalizing AI ethics frameworks while developing practical solutions like checklist-based compliance tools. Her work consistently integrates philosophical rigor with empirical organizational studies, focusing on translating abstract ethical concepts into actionable business processes. Analysis of her recent publications reveals a distinctive pattern: over 80% of her 2022-2025 work addresses implementation challenges in responsible AI, with recurring methodological emphasis on mixed-methods approaches combining logico-mathematical analysis, value-sensitive design, and stakeholder interviews. Key thematic clusters include fairness paradox resolution (particularly counterfactual fairness models), trust quantification in human-AI systems, and the moral philosophy of prudence applied to future selves in digital contexts. This interdisciplinary approach spans computer science, ethics, organizational behavior, and philosophy.

Bianca AlbersView profile

Researcher

• Implementation Science
• Healthcare Implementation
• Evidence-Based Practice
• +4 more

Bianca Albers is an Implementation Scientist at the University of Zurich's Faculty of Medicine, specializing in the Institute of Implementation Science in Health Care. With a PhD from the University of Melbourne, Australia, she focuses on bridging the gap between research and practice in healthcare systems through rigorous implementation science methodologies. Her research interests span implementation strategies and models for healthcare organizations, building organizational capacity for evidence-based interventions, and the intersection between health science implementation research and political science policy implementation. She employs systematic knowledge synthesis and qualitative methods as central tools in her work, with particular attention to evidence-based practice in healthcare settings. Dr. Albers's recent publications reveal a strong focus on fidelity in implementation, organizational readiness for change, and context-specific adaptation of evidence-based practices. Her work spans multiple healthcare domains including cancer screening, neonatal care, and child welfare systems, demonstrating methodological expertise in systematic reviews, qualitative analysis, and theoretical framework development. Before entering academia, she worked in public and non-public organizations across Europe and Australia, focusing on evidence utilization in health systems and establishing evidence-based practice and policy. This practical experience informs her research approach, which emphasizes the real-world applicability of implementation strategies.

Carina KleinView profile

Assistant Professor

• Neuropsychology
• Cognitive Psychology
• Learning Processes
• +2 more

Dr. Carina Klein serves as Assistant Professor at the Institute of Psychology, University of Zurich, specializing in neuropsychology and student-centered pedagogy. Recognized with the 2020 Credit Suisse Award for Best Teaching, her work emphasizes tailored student guidance throughout academic semesters. Educational background includes a doctoral degree in natural sciences (Dr. sc. nat.). Her research focuses on neuropsychological learning mechanisms and educational assessment strategies . Students highlight her ability to challenge learners while accommodating individual needs, foster confidence through consistent motivation, and implement innovative teaching approaches that maintain positive engagement from initial instruction through final evaluations. Scientific Awards: Credit Suisse Award for Best Teaching (2020) - CHF 10,000 sponsored by Credit Suisse Anniversary Foundation Dr. Klein's teaching methodology demonstrates exceptional student mentorship through personalized support systems and adaptive instructional techniques. Student testimonials specifically note her responsiveness to learning challenges, consistent availability for academic guidance, and success in building student self-efficacy across diverse cognitive profiles. Her approach integrates neuropsychological principles with practical educational frameworks to optimize learning outcomes.

Jan Milan DeriuView profile

Researcher

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +3 more

Jan Milan Deriu is affiliated with the ZHAW School of Engineering, where he is part of the Centre for Artificial Intelligence. He holds the role of Researcher and has been actively involved in multiple research projects, serving as Project Leader and Deputy Project Leader in areas such as dialogue systems evaluation, speech translation, and misinformation analysis. His work spans academic publications in top conferences and journals, focusing on AI-driven solutions in natural language processing and related fields. His research interests are centered around Natural Language Processing (NLP), including dialogue systems, text generation, and sentiment analysis; Artificial Intelligence evaluation methodologies; Speech technology, particularly dialect recognition and speech-to-text systems; Analysis of organized misinformation in social networks; Machine learning applications for data-centric AI development. Deriu has led or co-led several significant projects, including: Unified Model for Evaluation of Text Generation Systems (UniVal) – Deputy Project Leader (ongoing) Holistic Analysis of Organised Misinformation Activity in Social Networks – Project Leader (ongoing) End-to-End Low-Resource Speech Translation for Swiss German Dialects – Deputy Project Leader (completed) Pre-Study on Generation of Hockey News – Deputy Project Leader (completed) Call-E – Virtual Call Agent – Team Member (completed) DeepText: Intelligent Text Analysis with Deep Learning – Deputy Project Leader (completed) He collaborates extensively with international researchers and institutions, contributing to advancements in dialogue systems, speech technology, and AI evaluation frameworks. His publications emphasize practical applications, such as Swiss German dialect processing and misinformation detection in social media.

• Organizational Communication
• Strategic Communication Management
• Digital Transformation
• +5 more

Prof. Nicole Rosenberger Staub is a Professor for Organizational Communication and Management at the ZHAW School of Applied Linguistics, Zurich University of Applied Sciences. She also serves as Deputy Director of the Institute of Applied Media Studies. Her academic career spans over two decades, beginning with roles at the University of Zurich (PhD, M.A.) and professional experience as a Chief Communication Officer and Communication Manager in corporate and healthcare sectors. Her research focuses on digital transformation's impact on communication strategies, strategic communication management, reputation management, and organizational identity. Notable projects include leading studies on school communication during the digital transformation, energy discourse analysis, and corporate communication in crisis scenarios. She has authored/co-authored books on topics like 'Energiediskurs' and 'Strategisches Kommunikationsmanagement.' Rosenberger Staub teaches at both bachelor's and master's levels, including programs like 'Strategic Communication Management' and 'Digital Transformation and Communication.' She also leads professional development courses in leadership and communication. Her recent work emphasizes generative AI applications in communication and Swiss communication trends during digital transformation. Her professional service includes leadership in projects like 'Energy Mentors' and 'Communication with Foreign-Language Parents.' She frequently presents at international conferences (SGKM, EUKO, ECHC) and collaborates with institutions like Migros and the Swiss Federal Office of Energy.

• Machine Learning
• AI-Based Audio Signal Processing
• Digital Image Processing
• +7 more

Dr. Martin Loeser is a Professor and Program Director of Electrical and Computer Engineering at the ZHAW Zurich University of Applied Sciences, School of Engineering, Department of Information Technology, Electrical Engineering and Mechatronics. He holds a Ph.D. in Computational Physics from ETH Zurich (2008) and a Master's degree in Electrical and Computer Engineering from the Technical University of Munich (2003). His educational background includes: Ph.D. in Computational Physics, ETH Zurich (2004-2008) Master of Science in Economics and Management, University of Hagen (2010-2012) Master of Science in Electrical and Computer Engineering, Technical University of Munich (1997-2003) Study Abroad Degree in Applied Physics, University of Sydney (2001-2002) Dr. Loeser's research spans multiple interdisciplinary fields with a strong focus on Machine Learning, AI-Based Signal Processing, and Digital Image Processing . His work bridges theoretical computational methods with practical applications in healthcare, education, and optoelectronics. Recent research has focused on using machine learning and virtual reality for early detection of cognitive impairments, developing AI-based educational tools, and creating medical diagnostic devices. His earlier work centered on computational physics and optoelectronic device modeling, particularly for LEDs and solar cells. His publication record shows a clear evolution from fundamental computational physics and optoelectronics (2006-2010) toward AI applications in healthcare and education (2015-present). This transition reflects his ability to adapt core computational expertise to emerging technological challenges. His recent work demonstrates strong interdisciplinary collaboration, particularly with medical researchers for cognitive impairment detection and with educational specialists for AI-enhanced teaching tools. Among his recognitions is being named "Best graduate of the year in the Master's degree program in Management" from the University of Hagen in June 2012. Dr. Loeser maintains active research collaborations across disciplines and institutions, as evidenced by his diverse publication record spanning computer science, healthcare technology, education, and traditional engineering fields. His current research program focuses on edge AI applications, particularly in healthcare diagnostics and educational technology.

• Sustainable Energy Systems
• Smart Cities
• Energy Policy
• +3 more

Dr. Jörg Musiolik is part of the Team Sustainable Energy Systems at the ZHAW School of Engineering. He focuses on sustainable energy systems, smart cities, and innovation governance. His work spans projects as project leader/deputy leader in areas like V2G technology, smart city strategies, and energy policy analysis. Notable roles include leading the OKEE pilot project and co-leading social innovation studies in energy transitions. Education: Doctorate in relevant field (university unspecified) Research interests emphasize participatory modeling for socio-technical transitions, energy policy frameworks, and scaling smart city initiatives. His publications analyze governance mechanisms for inclusive energy transitions and innovation systems in emerging technologies. Key projects include the SNF Ambizione Evaluation, VARESI industrial residues project, and the SPICE initiative for smart city scaling. He has contributed to policy guidelines like the 'Smart City Implementation Guide' and 'Smart Neighborhood Development Handbook.' Labs/Teams: Team Sustainable Energy Systems, SCCER CREST

• Electricity Market Design
• Energy Security
• Electricity Tariffs
• +5 more

Dr. Christian Winzer is a Lecturer at the Center for Energy and Environment within the ZHAW School of Management and Law at Zurich University of Applied Sciences (ZHAW). His research focuses on electricity market design, energy security, and innovative tariff structures. He holds a PhD in Management Science from the University of Cambridge and academic credentials from the University of Karlsruhe (KIT). His work emphasizes practical applications of energy economics, including grid tariff optimization, demand response mechanisms, and fostering social acceptance of energy technologies. Professionally, he has served as an Associate Director at IHS Markit and Policy Advisor at the UK Department of Energy and Climate Change. His current projects include leadership roles in initiatives like NETFLEX (designing cost-effective grid tariffs) and Positive Energy District (algorithmic dispatch optimization). He frequently collaborates with institutions like Swissgrid and the Federal Office of Energy (BFE). Winzer’s research outputs span peer-reviewed journals ( Energy Policy , Communications Earth & Environment ), policy reports, and conference contributions. His recent work addresses household tariff preferences, pandemic-driven load forecasting, and energy transition governance frameworks. He is actively involved in shaping Switzerland’s energy policies through evidence-based recommendations on grid tariffs, flexibility incentives, and regulatory reforms.

• Artificial Intelligence
• Data Management
• Machine Learning
• +5 more

Dr. Jonathan Fürst is a Researcher at the ZHAW School of Engineering, part of the Intelligent Information Systems research focus at ZHAW Zurich University of Applied Sciences. His work spans AI-driven data systems, ontology matching, IoT applications, and cross-domain data integration. Key research interests include: AI applications in healthcare and education Machine learning for data integration and systems Multi-modal data exploration and natural language interfaces IoT networks and smart building technologies His projects include: AI-based Quality Management of BIM Models (project leader) DataGEMS : A data discovery platform for generalized exploratory search Multi-lingual data exploration systems Digital Health Zurich: Patient-centered clinical innovation Recent research trends emphasize explainable AI, weakly supervised learning, and real-world system robustness. His work bridges theoretical advancements with practical implementations in domains like healthcare, education, and smart infrastructure. No scientific awards are explicitly listed, though his active role in Horizon Europe projects reflects collaborative excellence. He contributes to interdisciplinary teams across data science, engineering, and healthcare.

• Interprofessional Education
• Health Professions Collaboration
• Public Health
• +4 more

Prof. Marion Huber is a Professor at the Institute of Public Health within the ZHAW School of Health Sciences, Zurich University of Applied Sciences (ZHAW). Her research focuses on interprofessional education (IPE), healthcare collaboration, and pandemic impact analysis. She leads the Zurich Interprofessional Training Ward (ZIPAS®) project and developed the WIPAKO® training concept for interprofessional communication skills. Huber has contributed to global consensus studies on IPE educator competencies and validated assessment tools like the Interprofessional Facilitation Scale. During the pandemic, she investigated mental health impacts on students and healthcare professional perceptions through social media analysis. Her expertise spans neurological rehabilitation assessments (e.g., BAVESTA framework) and curriculum innovation, including flipped-classroom methods. Huber collaborates internationally on IPE policy development and has presented at major conferences like All Together Better Health IX and the GMA Annual Conferences. Key contributions include over 50 peer-reviewed publications and advisory roles in interprofessional training initiatives.

• Accessibility Technology
• Assistive Technologies
• Artificial Intelligence
• +6 more

Prof. Alireza Darvishy is a Professor at the ZHAW School of Engineering, leading research in accessibility technologies and assistive systems. He specializes in enhancing accessibility for people with disabilities through AI, SLAM systems, and digital tools. His work focuses on improving access to educational materials, navigation aids for visually impaired individuals, and inclusive design principles across digital platforms. He has pioneered projects like the 'Sight Guide' wearable navigation system for the Cybathlon and developed the PAVE tool for PDF accessibility. His research also addresses challenges in higher education accessibility, generative AI ethics, and SLAM applications. Key research areas include chart accessibility, PDF remediation, and assistive technologies for mobility impairments. He has collaborated on over 30 projects, including 'Accessible Scientific PDFs for All' and 'Age-Appropriate Digital Channels'. His work emphasizes real-world implementation through datasets like InCrowd-VI and user-centric design approaches. Notable contributions include advancing SLAM systems for indoor navigation, guidelines for accessible teaching at universities, and studies on AI's impact on students with disabilities. He advocates for inclusive technology policies and accessible digital infrastructure in education and tourism.

Gabriela Muri KollerView profile

Professor

• Social Work
• Urban Studies
• Family Policy
• +5 more

Prof. Dr. Gabriela Muri Koller is a Professor at the Zurich University of Applied Sciences (ZHAW) School of Social Work , affiliated with the Institute of Childhood, Youth and Family . Her research focuses on the eventification of urban spaces , temporal politics , and social inclusion/exclusion dynamics in contemporary cities. Research Interests: Urban eventification, time sociology, social work, family policy, participatory urban development, energy poverty, cultural brokers, and spatial appropriation Recent Trends: Analyzing how urban events reshape public spaces, temporal governance, and social equity, with particular attention to vulnerable populations and political implications Conferences: Presented at international conferences on night economies, urban development, and energy poverty. Led workshops on urban design and social participation.

Monika Ulrike ReifView profile

Professor

• Functional Safety
• AI Certification
• Autonomous Systems
• +3 more

Prof. Dr. Monika Ulrike Reif is Professor of Safety Critical Systems and Head of Research for the Safety Critical Systems focus area at the Zurich University of Applied Sciences (ZHAW) School of Engineering. Her research focuses on safety assurance for autonomous systems and AI-based technologies. Her research program develops certification frameworks and verification methods for AI systems, with applications in railway safety, autonomous vehicles, and medical devices. She leads projects on trustworthy AI assessment, safety-critical software verification, and resilience engineering for complex systems. Current work includes developing MLOps pipelines for safety-critical AI and adversarial training methods for robust autonomous systems. Dr. Reif has received the VDI Ring of Honors (2010) and Artur-Fischer-Preis (2003) for her contributions to engineering. She directs the Safety Critical Systems Research Lab and teaches courses in functional safety, RAMS (Reliability, Availability, Maintainability, Safety), and systems engineering. Her industrial experience includes safety engineering roles at Bombardier Transportation and BMW.

• Artificial Intelligence in Safety-Critical Systems
• Nuclear Power Plant Safety Analysis
• Functional Safety Standards
• +3 more

Joanna Weng is a Senior Lecturer in Mathematics, Physics, and Sensor Technology at the ZHAW School of Engineering, affiliated with the Institute of Applied Mathematics and Physics (IAMP) and the Centre for Artificial Intelligence (CAI). She holds roles as Project Leader at the Safety-Critical Systems Research Lab and serves as an Associate Diversity Officer. Her expertise spans AI in safety-critical systems, functional safety (IEC 61508), nuclear power plant safety analysis, and particle physics. Education: CAS in Project Management, Functional Safety Engineer (TÜV Rheinland), and IEEE CertifAIEd Assessor. Research focuses on AI certification frameworks, deterministic/probabilistic safety analysis, and autonomous system safety. She leads projects like the Personnel Safety System (PSS) at the European Spallation Source (ESS) and co-leads the certAInty certification scheme for AI systems. Notable contributions include work on trustworthy AI assessment and MLOps-enabled safety. Key Projects: Personnel Safety System (PSS) at ESS IEEE CertifAIEd Assessor Training Machine Protection and Autonomous Predictive Interlock Systems certAInty AI Certification Scheme Awards/Certifications: CAS in Safe and Secure AI, TÜV Functional Safety Engineer, IEEE CertifAIEd Assessor. Grants/Advising: Innovationsuisse-funded certAInty project leader, overseeing interdisciplinary teams for AI safety research and implementation. Labs/Teams: Safety-Critical Systems Research Lab (IAMP), Centre for Artificial Intelligence (CAI), and collaborations with CERN Alumni and Women in Tech networks.

• Data Science
• Information Retrieval
• Machine Learning
• +3 more

Prof. Martin Braschler is a Lecturer and Director of the Institute of Computer Science at ZHAW School of Engineering (Zurich University of Applied Sciences). He specializes in data science, information retrieval, and enterprise search systems. His interdisciplinary work bridges computer science, machine learning, and multilingual systems. Key projects include leadership in the DataInc, Skillue, and INODE initiatives, focusing on data integration, intelligent systems, and EU-funded research. He has published extensively in top journals like SIGMOD Record and Information Systems , emphasizing practical applications of data science in business environments. His research explores topics such as cross-language retrieval, algorithmic approaches for multilingual systems, and enterprise knowledge management. Research interests revolve around applied data science methodologies, information access evaluation (e.g., CLEF), and real-world implementation of machine learning techniques. He co-authored influential books like Applied Data Science: Lessons Learned for the Data-Driven Business and Multilingual Information Retrieval: From Research to Practice , highlighting transitions from theoretical research to industry solutions. Braschler has led multiple projects in collaboration with industry partners, focusing on scalable data systems and enterprise applications. Notable contributions include developing the INODE end-to-end data exploration system and pioneering work on untrained models for multimodal retrieval. His work on skill-extraction algorithms for job-matching platforms demonstrates practical impact in human resources automation. Braschler’s projects often address challenges in data integration, semantic search, and the evaluation of information systems in real-world contexts.