جست‌وجوی استاد و پژوهشگر

Andrea Gurtnerمشاهده پروفایل

استاد

• Diversity & Inclusion
• Workplace Management
• LGBTIAQ+ Inclusion
• +۵ مورد دیگر

Prof. Dr. Andrea Gurtner is the Director of the Institute for New Work at the Business School of Bern University of Applied Sciences (BFH). She specializes in Diversity, Equity & Inclusion (DEI), organizational behavior, and workplace management. Her research focuses on LGBTIQ+ inclusion, leadership development, and strategies for reducing work-related stress in healthcare professionals. She leads major projects like the LGBTIAQ+@Campus initiative, collaborating with PH Bern and FHNW to promote inclusive university environments. Her work bridges academic research with practical DEI implementation, emphasizing authentic inclusion over superficial corporate social responsibility (pinkwashing critique). She has published extensively on topics ranging from virtual team dynamics to generational workforce expectations. Education Focus: Curriculum development for continuing education programs. Research Units: Diversity, Equity & Inclusion (DEI) at the Institute for New Work. Key Projects: LGBTIAQ+@Campus: Promoting inclusivity for queer students in Swiss universities. DEI Empirical Studies: Switzerland-focused analyses of LGBTQ+ workplace experiences (2017, 2020, 2022). STRAIN Study: Work-related stress mitigation in healthcare leadership (2017–2020). Her articles analyze intersectional DEI challenges, digital HR transformation, and team strategies under information overload. She advocates for measurable DEI practices over symbolic gestures, influencing both academic and corporate sectors. Grants and collaborations include funding from BFH, SFISM, and international partnerships (e.g., University of South Florida, FHNW). She advises on DEI policies for municipalities and organizations, emphasizing sustainable cultural change.

Francesca Rosiniمشاهده پروفایل

استادیار

• Early childhood education
• Mathematics education
• Language education
• +۳ مورد دیگر

Francesca Rosini serves as a Teacher-Researcher at the Department of Education and Learning of the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), based in Locarno. Her primary affiliation lies within the Area of Visual Education and Plastic Arts (EVAP), where she develops pedagogical resources for elementary education with emphasis on language and mathematics instruction. Her research focuses on early childhood education, particularly metacognitive skill development through play-based approaches in mathematics learning. She specializes in language education, designing curricular materials for spelling and writing instruction (including expository and argumentative texts) tailored to primary school contexts. Her work integrates visual arts methodologies to enhance cognitive engagement and educational outcomes in classroom settings. Recent publications feature the Sgrammit workbook series targeting spelling and writing competencies, alongside her thesis investigating play-driven metacognitive strategies in mathematics. These outputs reflect a consistent commitment to evidence-based, classroom-tested pedagogical tools that bridge theoretical frameworks with practical application in Swiss elementary education. Dr. Rosini actively collaborates with SUPSI's Center for Teaching Italian as a School Language (DILS) on interdisciplinary projects, demonstrating her engagement with institutional research networks focused on language acquisition and didactic innovation in multilingual educational environments.

Sandro Pedrazziniمشاهده پروفایل

استاد مدعو

• Software Engineering
• Programming Languages
• Natural Language Processing
• +۵ مورد دیگر

Sandro Pedrazzini is an Adjunct Professor in Software Engineering and the Head of the Bachelor's Program in Computer Engineering at the Department of Innovative Technologies (DTI) of SUPSI. He holds an M.Sc. in Computer Science from ETH Zurich and a Ph.D. in Natural Sciences from the University of Basel. His research focuses on Software Engineering methodologies, Programming Languages, Natural Language Processing, and Information Retrieval. He has extensive experience in both academia and industry, co-founding companies like Canoo AG and Karakun AG. His teaching responsibilities include courses on computer graphics, programming paradigms, and software engineering practices. Research Interests: Software Engineering: Agile methodologies, continuous integration, and project-based learning Natural Language Processing: Term extraction, morphological analysis, and e-learning tools Web Technologies: 3D interfaces, enterprise systems, and middleware architectures Publications reflect a blend of theoretical and applied research, with contributions to enterprise search systems, semantic analysis, and educational technologies. His work emphasizes practical applications of academic research in real-world contexts. Professional Experience: Co-founder of Canoo AG (2000) and Karakun AG (2018) Head of Computer Science Bachelor Program since 2012 Supervisor for multiple academic projects and courses Labs/Teams: Active in SUPSI’s DTI department, leading projects like 3D MMA (3D interface design) and TicinoTurismo II (web-based tourism platform).

Miriano Romualdiمشاهده پروفایل

پژوهشگر

• Educational Technology
• Digital Media in Education
• Early School Leaving Prevention
• +۳ مورد دیگر

Miriano Romualdi is a teacher-researcher in Media and MINT (Mathematics, Informatics, Natural Sciences, Technology) at the Department of Education and Learning (DFA/ASP) of SUPSI. He holds a degree in foreign languages and literatures (UNIBO), a degree in pedagogy (UNIBO), a master's in ergonomics (Paris V), and a master's in educational technologies (TECFA Geneva). His professional experiences include roles as an elementary school teacher, adult educator, and educational project leader across Switzerland and Italy. He specializes in integrating digital technologies into education, with a focus on combating early school leaving, promoting computational thinking through educational robotics, and designing authentic problem-based learning environments. Key projects include LabLearning (digital media for at-risk learners) and Roteco (STEM education platform for teachers). His research addresses multilingual classrooms, educational robotics, and instructional design methodologies. He leads the Media and MINT Laboratory (MEM) and contributes to initiatives like the DigiBasics 2025 program enhancing digital competencies in education.

• Semantic Web
• Linked Open Data
• e-Learning Systems
• +۵ مورد دیگر

Professor Lorenzo Sommaruga holds the position of Professor in Semantic and Multimedia Systems at the Department of Innovative Technologies (DTI) , University of Applied Sciences and Arts of Southern Switzerland (SUPSI). He is affiliated with the Institute of Information Systems and Networking (ISIN). With a background in Computer Science (University of Milan, 1989) and a PhD in Psychology focusing on Distributed Artificial Intelligence from Nottingham University (1993), he has extensive academic and professional experience. Prof. Sommaruga's professional roles include leadership of the Semantic and Multimedia Lab , coordination of the Master's program in Mobile Internet Applications (2009–2012), and responsibility for numerous EU and national research projects. His expertise spans XML technologies , Linked Open Data , e-learning systems , ambient intelligence , and mixed reality . Research Highlights: Key projects include the GIOCOnDa LOD platform for smart regions, the SEE A Game entrepreneurship initiative, and the RiParTI 2.0 smart home charging system. His work emphasizes usability and accessibility in semantic web applications, with frameworks like Semantic DB , IRCS Water , and AWI . Teaching: He leads courses such as Web Applications and Applicazioni web , focusing on practical, industry-relevant skills. His pedagogical contributions extend to adult educator training via initiatives like ICT per Educatori di Adulti . Grants & Projects: Over 49 funded projects, including EU programs on entrepreneurship, smart cities, and digital factories. His work bridges theoretical research with applied solutions in domains like water management and industrial automation. Labs & Teams: Active in the Semantic and Multimedia Lab , fostering interdisciplinary collaboration between computer science, psychology, and education.

Xin Wenمشاهده پروفایل

پژوهشگر

• Energy System Modeling
• Uncertainty Quantification
• Renewable Energy Integration
• +۷ مورد دیگر

Xin Wen is a Senior Researcher at the Renewable Energy Systems (RES) group at the University of Geneva, where she conducts advanced research on uncertainty modeling for long-range energy projections across Europe. She is actively involved in the Swiss National Science Foundation project 'Accuracy' and contributes to teaching in the Energy, Climate, and Environment course. Research Interests: Dr. Wen's work centers on energy system modeling, uncertainty quantification, stochastic optimization, and renewable energy integration. She investigates how statistical and optimization models can improve the accuracy of energy projections, particularly at sub-national levels, and evaluates the performance of major energy agencies. Her research supports energy policy development by incorporating societal factors and historical transitions into modeling frameworks. Publication Trends: Her recent publications (2021–2025) demonstrate a strong focus on improving energy modeling accuracy through hindcasting, probabilistic projections, and model inter-comparison. She frequently publishes in high-impact journals such as Applied Energy , Energy , and Nature Energy , addressing topics including electricity market governance, technology diffusion, and microgrid optimization under uncertainty. Scientific Contributions: Key contributor to the Swiss National Science Foundation project 'Accuracy' Co-authored foundational datasets for evaluating European electricity transitions Developed methods for assessing model accuracy and incorporating societal factors in energy modeling Teaching and Collaboration: Dr. Wen teaches in the Energy, Climate, and Environment program and collaborates extensively with researchers like Evelina TrutnevYTE and Marc Jaxa-Rozen. She is based at the University of Geneva's Renewable Energy Systems group, contributing to both research and policy-relevant analysis. Laboratory Affiliation: She is a core member of the Renewable Energy Systems (RES) group at the University of Geneva, which focuses on data-driven modeling of sustainable energy transitions and policy evaluation in Switzerland and Europe.

• Health Services Research
• Patient Reported Outcome Measures (PROMs)
• Quality of Life
• +۸ مورد دیگر

Prof. Dr. Marc Höglinger is a Lecturer at the ZHAW Zurich University of Applied Sciences, School of Management and Law , specializing in Health Services Research . He co-leads the Health Services Research Focus Area and teaches courses in statistical data analysis and evidence-based healthcare at the MSc and MAS levels. His career spans roles at institutions like ETH Zurich, University of Bern, and Kalaidos University of Applied Sciences. Education: Dr. sc. (ETH Zurich), lic. phil. in Sociology (University of Zurich) with minors in Economics and Social & Economic History. Continuing Education: CAS in Higher & Professional Education (ZHAW), York Summer Workshop in Health Economic Evaluation, ICPSR Summer Program in Quantitative Methods. Research Interests focus on health services research, patient-reported outcomes (PROMs), quality of life, access to healthcare, and health policy evaluation. He employs statistical methods to analyze healthcare systems, including diabetes DMPs, telemedicine, and pandemic impacts on health behaviors. Recent Publications examine post-COVID healthcare dynamics, cost implications of disease management programs, and digital health tools. His work addresses social determinants of health, equity in pediatric care, and healthcare workforce changes. Projects include leading evaluations of physiotherapy costs, Long-COVID impacts, and digital contact-tracing apps. He contributes to national studies on social assistance recipients' health and aging populations. Methodological Expertise includes randomized response techniques, Venn diagram analysis, and real-world data studies. He has also explored machine learning applications in predicting home care expenditures.

• Portfolio Management
• Risk Management
• Machine Learning
• +۷ مورد دیگر

Marc Weibel is a Senior Lecturer in the Center for Financial Data Science and Econometrics at the School of Management and Law, Zurich University of Applied Sciences (ZHAW), a position he has held continuously since August 2021. Previously, he served as Senior Lecturer in Financial Mathematics at ZHAW from January 2010 to July 2017 and concurrently as Chief Investment Officer at ENISO Partners AG from September 2017 to November 2022. He maintains active professional memberships in the Bachelier Society and European Finance Association, with an ORCID identifier (0000-0002-0819-9224) for scholarly attribution. His academic credentials include a PhD in Mathematics / Financial Mathematics from the University of Technology Sydney (2016-2019), an Advanced Certificate in Portfolio and Risk Management from Symmys (2012), a Master of Advanced Studies in Economics and Finance from the University of Geneva (2002-2004), and a Master in Economics from the University of Neuchâtel (1997-2001). Weibel's research focuses on the intersection of quantitative finance and data science, with primary emphasis on Portfolio Management, Risk Management, Machine Learning, and ESG Investing. His work integrates advanced mathematical techniques with practical financial applications, particularly in scenario-based optimization and alternative data utilization. He has published extensively on ESG factor integration, portfolio risk control, and financial data quality, often leveraging R and Python programming for empirical analysis. Analysis of his 2022-2024 publications reveals a pronounced shift toward sustainable finance, featuring multiple studies on ESG data validation, climate risk tools, and factor-tilt investment strategies. His scholarly output demonstrates consistent innovation in optimization algorithms (ADMM, model predictive control) and machine learning applications (NLP for greenwashing detection, reinforcement learning for SMEs), bridging theoretical finance with Swiss market implementation challenges. Marc Weibel has led significant applied research projects including the Adaptive AI-Driven Platform for P2P Lending Decisions and Liquid Instruments-Based Replication of Financial Indices. His collaborative work spans ESG-compliant product development, climate commitment tracking, and NLP-based analysis of corporate communication. Project roles reflect deep engagement with Swiss financial institutions through the Risk- and Finance-Lab. As a core team member of ZHAW's Risk- and Finance-Lab, he contributes to industry-academia partnerships focused on real-time financial decision systems. His project portfolio emphasizes practical solutions for Swiss asset owners, including ESG product customization and reinforcement learning frameworks for SME risk management.

James Hendersonمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

James Henderson is a Senior Researcher at Idiap Research Institute where he heads the Natural Language Understanding group. He currently serves as Action Editor for Transactions of the Association for Computational Linguistics (TACL) and was recently awarded an ERC Advanced Grant for his project 'Interpretable Beliefs and Programmable Knowledge with Bayesian Attention in Large Language Models' (BALM). Previously, Henderson held positions as Chargé de Cours at University of Geneva's Department of Computer Science and Principal Scientist at Xerox Research Centre Europe (now Naver Labs Europe). Henderson's research focuses on machine learning methods for natural language processing, with pioneering work on recurrent neural networks for syntactic and semantic parsing. His current investigations include representation learning for language semantics, graph-to-graph deep learning models, entity induction, and variational-Bayesian attention-based representation learning. His research bridges Bayesian inference, transformer architectures, and structured prediction for NLP tasks. His publication portfolio demonstrates consistent contributions to core NLP methodologies, with recent emphasis on transformer optimization, Bayesian neural methods, efficient model architectures, and graph-based language representations. Research frequently appears in top venues including ACL, EMNLP, ICLR, and NeurIPS. Honors: ERC Advanced Grant (2023) Henderson leads the Natural Language Understanding group at Idiap, currently recruiting PhD students and postdoctoral researchers for his ERC project. He obtained his PhD and MSc from University of Pennsylvania and BSc from Massachusetts Institute of Technology, all in computer science.

Aldo Brandiمشاهده پروفایل

مدرس

• Urban Systems
• Environmental Systems
• Sustainable Development
• +۲ مورد دیگر

Aldo Brandi serves as a Lecturer and Scientist at the Swiss Federal Institute of Technology in Lausanne (EPFL), affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC). Within ENAC, he operates through the Institute of Architecture (IA) and the Laboratory of Urban and Environmental Systems (URBES), while concurrently contributing to the Teaching Support Service (SSIE) for school-wide instruction. His research centers on Urban Systems and Environmental Systems , exploring sustainable development frameworks and environmental engineering solutions for urban contexts. Work at URBES emphasizes interdisciplinary integration of architectural design, civil infrastructure, and ecological principles to address contemporary urbanization challenges, with particular focus on system resilience and resource optimization in built environments. Dr. Brandi's teaching portfolio includes Environmental Sciences and Engineering coursework and the "Projeter ensemble ENAC" collaborative program, fostering practical application of theoretical concepts through project-based learning. His laboratory engagement drives applied research connecting architectural innovation with environmental sustainability metrics, utilizing systems analysis methodologies to evaluate urban ecological footprints.

Hendrik Huwaldمشاهده پروفایل

عضو هیئت علمی

• Cryospheric Sciences
• Climatology
• Hydrology
• +۱۰ مورد دیگر

Hendrik Huwald is a Scientist at the Laboratory of Cryospheric Sciences (CRYOS) and a Lecturer at the Environmental Sciences and Engineering Section (SSIE) at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He is affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC), and maintains offices in both Sion and Lausanne. His work bridges research and teaching in environmental and atmospheric sciences. His research focuses on surface mass and energy balance in alpine and polar environments , stream temperature dynamics under climate change , and development of environmental measurement techniques and sensors . His expertise lies in field experimentation, environmental monitoring, and modeling of snow-atmosphere interactions, boundary layer meteorology, and hydrological systems. He has led and participated in numerous large-scale field campaigns across diverse environments. The recent publication trends indicate a strong focus on complex terrain meteorology (e.g., banner clouds at the Matterhorn), blowing snow dynamics , urban and alpine climate , and river temperature modeling under climate change . His work combines observational data with advanced modeling (e.g., large-eddy simulations, Alpine3D) and machine learning, particularly in energy and hydrological applications. He has supervised several PhD students including Elizaveta Sharaborova, Brandon Van Schaik, Tristan Brauchli, Aurélien Gallice, and Adrien Michel. His work is supported by extensive project management experience at national and international levels. He is actively involved in teaching courses such as Physics and Chemistry of the Atmosphere and Physics and Hydrology of Snow . While no formal awards are listed in the provided text, his extensive publication record and leadership in major environmental research initiatives reflect significant scholarly impact. Huwald's work is central to understanding cryospheric processes under climate change, with applications in hydrology, renewable energy, and environmental policy. His integration of field measurements, sensor development, and modeling places him at the forefront of experimental environmental science.

• Environmental Engineering
• Environmental Sciences
• Sustainable Development
• +۱ مورد دیگر

Lucas Uhlmann serves as a Lecturer at the Swiss Federal Institute of Technology in Lausanne (EPFL) within the School of Architecture, Civil and Environmental Engineering (ENAC), specifically affiliated with the Section of Environmental Sciences and Engineering (SSIE-ENS). Holding the status of Invited guest, his primary responsibilities center on teaching within the Environmental Sciences and Engineering program. His academic focus spans Environmental Engineering, Environmental Sciences, and Sustainable Development, with emphasis on practical application through project-based learning. He actively contributes to courses such as 'Environmental Sciences and Engineering' and 'Projeter ensemble ENAC', which integrate collaborative problem-solving approaches for complex environmental challenges in civil infrastructure contexts.

• Artificial Intelligence
• Signal Processing
• Machine Learning
• +۴ مورد دیگر

Zohreh Mostaani is a Doctoral Assistant at the IDIAP Research Institute, affiliated with the École Polytechnique Fédérale de Lausanne (EPFL), within the School of Engineering, Institute of Electrical Engineering. Her work is embedded in a leading research environment focused on intelligent systems and signal processing. Her research interests are centered around artificial intelligence and its applications in human-centered technologies. Given her affiliation with IDIAP, her work likely spans machine learning, speech recognition, computer vision, biometrics, and human-computer interaction . These domains reflect the core strengths of the laboratory and its mission to advance intelligent systems that interact naturally with humans. The trends in her research domain emphasize robust AI models for real-world multimodal data analysis, particularly in security, healthcare, and assistive technologies. While specific publications are not listed, the thematic focus of IDIAP suggests a strong orientation toward applied AI with societal impact. No scientific awards were mentioned in the provided text. As a Doctoral Assistant, she is actively conducting research toward a PhD degree, contributing to ongoing projects at LIDIAP. While no formal advisees are listed, she likely collaborates within a structured supervision framework typical of doctoral programs at EPFL. There is no mention of independent grants, but her position suggests funding through institutional or project-based support. She is part of the LIDIAP (IDIAP Research Institute) research team, a prominent Swiss research institute specializing in signal processing and artificial intelligence, closely integrated with EPFL. The lab fosters interdisciplinary collaboration in AI-driven technologies for real-world applications.

• Computer Science
• Information Theory
• Machine Learning
• +۳ مورد دیگر

Cemre Çadir is a Doctoral Assistant at the Mathematics of Information Laboratory (MIL), within the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL). She is concurrently pursuing her doctoral studies in the Doctoral Program in Computer and Communication Sciences (EDIC). Her academic work is centered on the mathematical foundations of information processing, with research interests spanning computer science, information theory, machine learning, and data science. As a Doctoral Assistant, she contributes to research and academic activities at MIL, a leading laboratory in theoretical and applied aspects of information sciences. The available publications and research outputs could not be determined from the provided text. However, her affiliation with MIL suggests strong engagement in cutting-edge research in intelligent systems and information theory. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no public information available about advisees or funded research grants associated with Cemre Çadir in the current data. As a doctoral researcher, she may be supported through institutional or project-based funding at EPFL. Labs and Research Teams: She is an active member of the Mathematics of Information Laboratory (MIL) at EPFL, which focuses on the theoretical underpinnings of machine learning, signal processing, optimization, and statistical inference.

Zhen Weiمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Zhen Wei is a Doctoral Assistant and PhD student at École polytechnique fédérale de Lausanne (EPFL), affiliated with the Computer Vision Laboratory (CVLAB) within the School of Computer and Communication Sciences (IC) and the Institute of Computer Science (IINFCOM). He is actively engaged in research and holds a formal staff position at the university. His research interests span Computer Vision , Machine Learning , Deep Learning , and Artificial Intelligence , with additional expertise in Multidisciplinary Design Optimization and Aerospace Engineering , as evidenced by his awards. His work is conducted primarily within the CVLAB, a leading research group in vision and machine learning. Zhen Wei has been recognized with prestigious awards including the AIAA Multidisciplinary Design Optimization Best Paper Award and the AIAA Aviation Forum Best Student Paper Award in Multidisciplinary Design Optimization. He is also a recipient of the Toulouse Graduate School of Aerospace Engineering (TSAE) Scholarship. As a doctoral researcher, he contributes to academic advising and research projects within CVLAB. Though no formal advisees are listed, his role involves collaborative research and technical contributions to the lab’s scientific output. He is also Treasurer of the Chinese Students & Scholars Association Lausanne (CSSA), demonstrating leadership in student community engagement. His research is supported through institutional affiliation with EPFL and scholarship funding. He is based at BC 303, Building BC, Station 14, 1015 Lausanne, Switzerland, and is actively involved in both academic and student life at EPFL.