جست‌وجوی استاد و پژوهشگر

Daniele Silvestroمشاهده پروفایل

پژوهشگر

• Evolutionary Biology
• Phylogenetics
• Macroevolution
• +۵ مورد دیگر

Daniele Silvestro is a researcher at ETH Zürich's Department of Biosystems Science and Engineering, working within the Computational Evolution group based in Basel, Switzerland. His research spans evolutionary biology, computational methods, and biodiversity science, with a focus on developing and applying novel analytical approaches to understand macroevolutionary patterns. Dr. Silvestro's research interests center on evolutionary biology and computational approaches to understanding biodiversity patterns through time. His work bridges micro- and macroevolutionary scales, with particular emphasis on phylogenetic methods, speciation processes, and the integration of fossil data with molecular phylogenies. He applies machine learning and artificial intelligence techniques to analyze large-scale biodiversity datasets, addressing questions about species diversification, extinction dynamics, and ecological interactions across deep time. His recent publications demonstrate a strong trend toward computational innovation in evolutionary biology, with increasing integration of artificial intelligence methods to tackle complex questions in biodiversity science. His work spans multiple biological systems, from plant-soil interactions to mammalian evolution, reflecting an interdisciplinary approach that combines theoretical modeling with empirical data analysis. Dr. Silvestro collaborates extensively with researchers across institutions and disciplines, contributing to major initiatives such as the 2030 Declaration on Scientific Plant and Fungal Collecting. His research has significant implications for biodiversity conservation, particularly in understanding how species and ecosystems respond to environmental change. His work on computational methods, including software development like DeepDiveR, demonstrates a commitment to creating practical tools for the broader scientific community. His research group at ETH Zürich appears to focus on developing and applying cutting-edge computational approaches to evolutionary questions, emphasizing the importance of integrating multiple data sources and analytical frameworks.

Jennyمشاهده پروفایل

استاد

• Turbulent Combustion Modeling
• Computational Fluid Dynamics
• Rarefied Gas Kinetics
• +۴ مورد دیگر

Professor Jenny leads the Jenny Research Group at ETH Zürich, specializing in turbulent reactive flows, rarefied gas kinetics, and biomedical fluid dynamics. Her work bridges fundamental research with industrial applications in energy systems and fluid mechanics. Develops advanced turbulence models (TDDM, hybrid LES/RANS) for multi-scale flows Pioneers data assimilation frameworks for RANS simulations using adjoint methods Advances particle-based stochastic algorithms for fractured porous media transport Her recent publications emphasize adaptive time integration techniques, probabilistic modeling of non-linear transport phenomena, and optimized simulation tools for hydrogen storage systems. The group's methodological innovations focus on reducing computational costs while maintaining physical accuracy through novel regularization strategies. Key applications include combustion device optimization, high-pressure tank filling analysis, and fractured reservoir simulations. Current projects integrate machine learning with traditional CFD methods to address challenges in droplet clustering, flame surface density propagation, and supersonic spray dynamics. The research framework spans from direct numerical simulations of fundamental flow physics to industrial-scale hybrid modeling implementations.

Marcel Pfahrerمشاهده پروفایل

استاد

• Information Systems
• Decision-oriented Information Systems in Public Administration
• Multimedia Information Systems
• +۶ مورد دیگر

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.

Jasmin Wandelمشاهده پروفایل

استاد

• Biomechanics
• Medical Engineering
• Computational Modeling
• +۵ مورد دیگر

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.

Stefan Schoriمشاهده پروفایل

مدرس

• Electrical energy supply with decentralized generation, storage and flexible consumers
• Planning and operation of electrical distribution networks with increasing PV systems, electric mobility and heating electrification
• Voltage quality in electrical distribution networks
• +۲ مورد دیگر

Stefan Schori is a Lecturer at Bern University of Applied Sciences in the Department of Electrical Engineering and Information Technology within the School of Engineering and Computer Science. He serves as Group Leader for Electricity Networks and conducts research at the Institute for Energy and Mobility Research (IEM) and the BFH Energy Storage Center. Dr. Schori also represents the Engineering and Computer Science Department in the Sustainable Development Commission of BFH. His primary research interests focus on electrical energy supply systems with decentralized generation, storage and flexible consumers. He specializes in planning and operation of electrical distribution networks considering increasing PV installations, electric mobility and heating electrification. His work addresses power quality issues in distribution networks caused by modern equipment connections and develops optimization methods for grid planning and operation. Dr. Schori has published extensively on topics including target grid planning, quality reserves in distribution networks, and grid-friendly operation of battery storage systems. Dr. Schori leads multiple research projects including PLANET, QuVert, Bat4SG, and OptiQ, which address critical challenges in modern electrical grid operation and planning. His research has resulted in practical methodologies and tools for utilities and grid operators facing challenges from increasing electrification and renewable energy integration. Best graduate of the Master's program 2017 of the Bern University of Applied Sciences Graduated with distinction as a Dipl.-Ing. FH in 2007 in Electrical and Communication Technology Dr. Schori actively supervises Bachelor's and Master's students on projects related to electrical energy networks, power quality, and energy storage systems. His professional affiliations include Chairman of the Swissolar Decentralized Storage Expert Committee, board member of the Power-Quality-Group CH, and Chairman of TK 8 (System aspects of electrical energy supply) at the Swiss Electrotechnical Committee. He also leads the Electricity Networks Laboratory, which focuses on developing methodologies for distribution network modeling, target grid planning, and integration of storage systems for grid stability.

• Artificial Intelligence
• Decision Support Systems
• Logistics Modeling
• +۳ مورد دیگر

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.