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Marcel PfahrerView profile

Professor

• Information Systems
• Decision-oriented Information Systems in Public Administration
• Multimedia Information Systems
• +6 more

Professor Marcel Pfahrer is a faculty member at the Bern University of Applied Sciences in the Engineering and Computer Science department. He serves as the leader of the Data Science and Engineering (DSE) research group within the Institute for Data Applications and Security (IDAS) and is responsible for the e-Government research theme at IDAS. His institutional affiliations include: Bern University of Applied Sciences, Engineering and Computer Science (since 1992, full-time since 2006) Institute for Data Applications and Security (IDAS) Urs Sauter + Marcel Pfahrer AG (1995-2006) University of Bern, Institute for Business Informatics (1995-2003) Professor Pfahrer's research focuses on Information Systems, particularly decision-oriented Information Systems in public administration, Multimedia Information Systems with a focus on Geographic Information Systems (GIS), Web-based and distributed Information Systems, Data Engineering, and Digital Business Systems. His work bridges theoretical computer science with practical applications in government and business contexts, emphasizing the development of robust, user-centered information solutions that address real-world challenges. With extensive experience supervising over 30 Bachelor's and Master's students on diverse projects, Professor Pfahrer demonstrates a commitment to practical, applied research with tangible outcomes. His supervision approach appears to emphasize real-world problem solving across multiple domains including public administration, healthcare, and business applications. Professor Pfahrer has received recognition for his academic achievements: Diploma with distinction and diploma prize in Business Informatics (1988) With over 30 years of professional experience spanning academia, industry, and community service, Professor Pfahrer brings a wealth of practical knowledge to his teaching and research. His career demonstrates a consistent focus on developing information systems that effectively address practical challenges in public administration and business contexts. He leads the Data Science and Engineering research group, which develops advanced data solutions for applications including e-government systems, sustainability evaluation, and information management in public administration, with numerous successfully completed research projects funded by Innosuisse and other organizations.

Jan OndrusView profile

Professor

• Digital Ecosystems
• Mobile Payments
• Business Model Innovation
• +7 more

Jan Ondrus is a Full Professor at ESSEC Business School (officially École Supérieure des Sciences Économiques et Commerciales) in the Department of Information Systems, Decision Sciences and Statistics. His academic journey at ESSEC began in 2007 as an Assistant Professor, advancing to Associate Professor in 2015, and achieving Full Professor status. Previously, he completed his PhD at the University of Lausanne's Information Systems Department (2003-2007). Professor Ondrus's research examines the strategic impact of information technology on digital business ecosystems. His primary focus areas include: Mobile payment systems and NFC technology adoption Digital platform governance and ecosystem design Business model innovation through disruptive technologies Strategic IT management in evolving digital markets Transformation of industries through digital solutions His recent publications demonstrate a consistent focus on platform ecosystems, mobile payment infrastructure, and digital transformation strategies. The research utilizes diverse methodologies including case studies, framework development, and multi-criteria analysis. Recent works explore platform governance models, technology adoption barriers, and ecosystem orchestration strategies across various industries including finance, entertainment, and public services. No scientific awards or student advisees are mentioned in the source material. Similarly, no information is available regarding research grants, lab facilities, or specialized research teams.

Jasmin WandelView profile

Professor

• Biomechanics
• Medical Engineering
• Computational Modeling
• +5 more

Prof. Dr. Jasmin Wandel serves as a Professor at Bern University of Applied Sciences within the School of Engineering and Computer Science. Her academic profile combines teaching responsibilities in engineering disciplines with active research in biomechanics and medical engineering applications. Her educational background includes a 2013 PhD dissertation on statistical methods for extreme value analysis in Gaussian processes, establishing her foundation in quantitative research methodologies. This statistical expertise informs her interdisciplinary approach to engineering problems. Professor Wandel's research program centers on biomechanical analysis of bone structures and medical device optimization . Key focus areas include: Computational modeling of fracture mechanics using finite element analysis Thermal management in surgical robotics and bone drilling procedures Biomechanical characterization of bone-implant interfaces Statistical methods for medical engineering data analysis Her work bridges theoretical engineering principles with clinical applications, particularly in orthopedics. Analysis of her publication trends (2013-2019) reveals consistent output in high-impact biomechanics journals, with increasing focus on clinically applicable research. The majority of her work involves collaborative projects with University of Bern researchers, demonstrating strong institutional partnerships in the Swiss medical engineering ecosystem. While specific awards aren't documented in available sources, her publication record in journals like Bone and Medical Engineering & Physics indicates peer recognition of her contributions to biomechanical research. Professor Wandel maintains active supervision of master's students at BFH, with research projects typically involving computational modeling and experimental validation. Her collaborations with University of Bern and industry partners like SVGW provide students with access to clinical datasets and real-world engineering challenges. Current research appears funded through institutional partnerships and applied research grants typical of Swiss Universities of Applied Sciences. Based at the Burgdorf campus, Professor Wandel contributes to BFH's strategic focus on Humane Digital Transformation through her work in medical robotics and computational biomechanics, integrating engineering solutions with human-centered healthcare applications.

• Artificial Intelligence
• Decision Support Systems
• Logistics Modeling
• +3 more

Andrea Emilio Rizzoli is a Professor at SUPSI's Department of Innovative Technologies and Director of the Dalle Molle Institute for Artificial Intelligence (IDSIA). With dual Swiss-Italian citizenship, he holds a PhD in Computer and Automatic Control Engineering from Polytechnic University of Milan (1993). His career includes international research positions at Université de Lausanne and CSIRO Australia. His research focuses on: Intelligent decision support systems Logistics and environmental systems modeling Sustainable transportation solutions Uncertainty management in computational models He leads projects like GoEco! for sustainable mobility and rail freight optimization systems. Honors include: Presidency of iEMSs (2012-2014) Membership in ZALF's Scientific Committee 200+ publications with significant citation impact (h-index 22/30) He teaches courses on dynamic systems modeling and simulation, serving as head of several academic modules at SUPSI.