جستجوی استاد راهنمای دانشگاهی

Lorena Roccaمشاهده پروفایل

دانشیار

• Geography Education
• Teacher Training
• Human Geography
• +۷ مورد دیگر

Lorena Rocca is an Associate Professor of Geography Education at the Department of Education and Learning / University of Teacher Education (DFA/ASP) at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI). She also holds the position of Associate Professor of Human Geography at the University of Padua. Her academic career spans multiple institutions across Europe and South America, including visiting professorships at the University of Cologne (2011), University of Caxias do Sul (2010, 2017), and University of Würzburg (2009). Her educational background includes: Degree in Pedagogy from the University of Padua PhD in 'Man and Environment' from the University of Padua (meritorious for publication in a monograph, 2000) Postdoctoral fellowship in 'Earth Sciences' Qualified to teach Italian, History, and Geography in Italian Middle and High Schools (2000) Lorena Rocca's research focuses on Geography Education, Teacher Training, and Human Geography, with particular emphasis on the integration of Information and Communication Technologies in geographical education. Her work explores sustainable development, local governance, and the analysis of territorial processes. She has pioneered research in sonic environments and sound mapping as educational tools for environmental awareness and landscape care, developing innovative multidisciplinary approaches to understanding places through auditory experiences. Her recent publications demonstrate a strong focus on educational responses to the COVID-19 pandemic, examining communication dynamics between schools, pupils, and families during emergency remote learning. She has also made significant contributions to the understanding of soundscapes as educational resources for environmental stewardship and inclusive practices. Her work bridges theoretical geography with practical educational applications, particularly in the Ticino region of Switzerland and in collaboration with Brazilian institutions. Her scientific recognition includes: Award from the Municipality of Padua for Environment and Mobility Meritorious publication recognition (2000) Referee for the journals J-Reading - Didactics in Geography and RIGEO Member of the editorial board of the 'Romanian Review of Geographical Education' and Geotema As a research leader, Rocca has directed numerous significant projects including 'Listening Environments - International Sound Mapping,' 'AmbienTI: Teaching practices for environmental studies in Ticino,' and the exploratory study 'At school in Ticino during the COVID-19 pandemic.' Her work often involves interdisciplinary collaboration across educational, geographical, and technological domains. She coordinates research teams working on innovative educational tools, particularly in the areas of sound mapping, environmental education, and pandemic response strategies. Her current projects include the OPHELIA cartographic platform for river process education and the educational valorization of the BREGGIA GORGES PARK.

• Italian Linguistics
• Language Education
• Mathematics Education
• +۳ مورد دیگر

Dr. Silvia Demartini is a Professor at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI) , affiliated with the Department of Education and Learning and the Competence Centre for Mathematics Education (DDM). She teaches communication and writing courses within the Computer Science degree program at the University of Eastern Piedmont. Her academic journey began with a PhD in Italian Linguistics (2012), focusing on the history of Italian grammar and its teaching tools. Expertise in Italian grammar, language education, and interdisciplinary mathematics-Italian curriculum development Collaborative research with Silvia Sbaragli and Michele Canducci on educational materials Recipient of the Faculty's Best Graduate Student Award at both bachelor's and master's levels Her research spans textbook analysis, linguistic challenges in mathematics education, and innovative pedagogical frameworks. Recent publications include interdisciplinary approaches to geometry and language teaching, such as the 2023 article Mathematics in Rhyme and the 2022 book Parole, Numeri, Figure . Awards include the 2009 Subject Expert title for Italian Grammar. She collaborates on projects like Italmatica , addressing language-specialist communication in mathematics education.

Jenny Marcionettiمشاهده پروفایل

استاد

• Career guidance and counseling
• Educational psychology
• Positive psychology
• +۶ مورد دیگر

Jenny Marcionetti is a Full Professor in Psychology of Education and Career Guidance at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), specifically within the Department of Education and Learning and the Competence Centre for Innovation and Research on Education Systems (CIRSE). Born in Faido on December 30, 1982, she holds a PhD in Psychology from the University of Lausanne (2017) and a background in social psychology from the Institut des Sciences Sociales et Politiques in Lausanne. Her research focuses on the intersection of educational psychology, positive psychology, and career development. Key areas include: Character strengths interventions for promoting socio-emotional competences and well-being in children Career adaptability and sustainable career development in adolescents and young adults Teacher training for career guidance Apprentices' well-being and perceptions of decent work Development and validation of psychological assessment tools Her recent publications (2023-2025) show a strong emphasis on translating psychological theory into practical educational applications, particularly in the Ticino school system. She has developed several assessment instruments including the Career Imagination Scale and has conducted intervention studies on character strengths in schools. Professor Marcionetti is actively involved in research projects addressing contemporary educational challenges: NEFELE Erasmus+ project on enhancing teachers' abilities to support adolescents' career development Studies on the risk of burnout and dropout in healthcare and education Research on working conditions and well-being for teachers Character strengths-based interventions in Ticino schools Her methodological expertise spans research design, statistical analysis, and qualitative methods, allowing her to approach complex educational questions from multiple perspectives. Her work demonstrates a strong commitment to bridging research and practice in educational settings.

• Migration studies
• International cooperation
• Social work
• +۷ مورد دیگر

Paola Solcà is a Senior Lecturer-Researcher and Head of the Bachelor's Degree in Social Work at the Department of Business Economics, Health and Social Affairs (DEASS) at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI). She was previously head of the Center for Documentation and Research on Migration (CDRM) from 2012 to October 2020 and remains actively engaged in research on migration, mobility, and international cooperation. Her research interests focus on migration studies, particularly transnational care work with Eastern European caregivers in Ticino, social integration of second-generation youth through consumption practices, and development cooperation. Professor Solcà has led significant research projects including LENEMI (Learning NEEDS of Migrants caregivers of elderly people) and 'Processes of building belonging in the consumption practices of second-generation young people' in Locarno. Professor Solcà earned her degree in sociology and anthropology from the University of Lausanne in 1994. Her recent publications examine cross-border workers in Ticino, intercultural competence in healthcare settings, and social vulnerability among co-resident Eastern European migrants. She is a member of the SUPSI Competence Center for Cooperation and Development and collaborates with the CAS in Cooperation and Development. Research on migration and care work examines how Eastern European women caregivers navigate complex social and professional contexts while providing elderly care in private households Studies on second-generation youth explore consumption practices as spaces for building social belonging beyond traditional institutions Current leadership role focuses on shaping social work education with emphasis on practical, field-based learning experiences Professor Solcà's work bridges academic research with practical applications in social work, migration policy, and international development cooperation, emphasizing participatory methodologies and cultural sensitivity in all her research and teaching activities.

• Educational Sciences
• Teacher Training
• Educational Technologies
• +۴ مورد دیگر

Valentina Giovannini is a Teacher-researcher in Innovation and Educational Systems at the Scuola universitaria professionale della Svizzera italiana (SUPSI), specifically within the Department of Education and Learning / University of teacher education (DFA/ASP). She is also affiliated with the Competence Center for Education, Learning and Teaching (EAI) and the Center for Innovation and Research on Educational Systems (CIRSE). Dr. Giovannini holds a Bachelor's degree in Educational Sciences and Specialized Pedagogy (2012) and a Master's degree in Educational Sciences (2014), both from the University of Fribourg, as well as a Diploma in Higher Education and Educational Technologies (2017). She is currently pursuing a doctorate in professional mentoring. Her research focuses on competency-based assessment, professional mentoring, educational technologies, and teacher training. Dr. Giovannini examines collaborative practices among educators, implementation of e-portfolio systems, and evaluation methods in educational settings. Her work bridges theoretical frameworks with practical classroom applications, particularly in inclusive education and teacher development. Recent publications highlight trends in competency-based assessment frameworks and the application of digital tools in teacher training. Her research demonstrates a consistent focus on practical implementation of educational theories, with particular attention to reflective practice and collaborative approaches in educational settings. Dr. Giovannini actively contributes to significant research projects including the longitudinal study on teacher job placement (Asptransit/INSERCH) and evaluation of inclusive education measures. Her work combines qualitative and quantitative methods to address pressing challenges in contemporary educational systems. As a lecturer, Dr. Giovannini teaches in the Bachelor's degree program at SUPSI, integrating her research findings into her pedagogical approach. Her professional experience spans early childhood education, pedagogical support, and scientific collaboration with various educational institutions in Switzerland.

Elena Hubschmid-Vierheiligمشاهده پروفایل

مدرس

• Employer Branding
• Intergenerational Knowledge Transfer
• Behavioral Economics
• +۳ مورد دیگر

Elena Hubschmid-Vierheilig is a Lecturer at the International Management Institute within the School of Management and Law at Zurich University of Applied Sciences (ZHAW). She has held this position since 2015, leading bachelor’s modules in Human Capital Management and various Continuing Advanced Studies (CAS) programs such as International HRM and Human Capital Analytics. Doctorate : Dr. rer. oec. in Business Administration (University of Bern, 2012) Master’s : MScBA in Business Administration (University of Bern, 2010) Bachelor’s : Public Administration & Political Sciences (Moscow State University & Villanova University, 2008) Teaching Qualification : CAS in Higher Education Didactics (University of Bern, 2012) Her research focuses on Employer Branding , Intergenerational Knowledge Transfer , and Digital Competence in the context of behavioral economics and skill shifts. She has published extensively on topics like SMEs’ digital learning adaptations during the pandemic, evidence-based employer branding strategies, and onboarding best practices. Recent publications highlight trends in Digital Workforce Transformation , Generational Leadership in multicultural settings, and Fairness in HR Decision-Making . Her work spans peer-reviewed journals, book chapters, and conference proceedings, often addressing practical HR challenges in small-to-medium enterprises (SMEs). She combines academic teaching with industry experience as a Group HR Project Manager at Angst+Pfister AG (since 2015) and previously as a Research Assistant at the University of Bern. Her projects include revising and translating the educational tool myStudybox .

• Blockchain
• Web Mining
• Information Retrieval
• +۷ مورد دیگر

Dr. Arnaud Gaudinat is an Associate Professor at the Geneva School of Business Administration (HEG Genève), part of the University of Applied Sciences and Arts of Western Switzerland (HES-SO). He is affiliated with the Economy and Services faculty and primarily works within the Department of Information Science. His educational background includes expertise in information science, with teaching responsibilities spanning multiple programs: MSc HES-SO in Information Science - teaching Data Curation and Information Architecture BSc HES-SO in Management Information Systems - teaching On-chain Analysis BSc HES-SO in Information Science - teaching Web Analytics, Survey Techniques, and Advanced Drupal Content Management BSc HES-SO in Business Economics - teaching Data Analytics and Data 4.0 Dr. Gaudinat's research focuses on the intersection of information science, web technologies, and data analytics. His work spans Web Mining, Information Retrieval, Blockchain applications, and Web Analytics. He has made significant contributions to biomedical text mining, developing systems for dataset retrieval and exploring applications of blockchain in information science. His recent work includes stablecoin taxonomy and using AI for information monitoring. Dr. Gaudinat approaches information science with a practical perspective, often developing tools and methods that address real-world information challenges in both academic and industry contexts. His research output shows a consistent focus on practical applications of information retrieval and text mining techniques, with a growing interest in blockchain technologies and their implications for information management. His most recent publications demonstrate expertise in cross-lingual analysis, stablecoin classification, and AI-assisted information monitoring. Dr. Gaudinat has received research funding from multiple sources including Innosuisse, swissuniversities-P5, and HES-SO. His projects often involve collaboration with both academic and industry partners, reflecting his commitment to bridging theoretical research with practical applications. His current research projects include: Precise Intelligence : Big Data Analytics for comprehensive Global Trade Flow Intelligence INCIPIT : Infrastructure Nationale d'un Complément d'Identifiants Pérennes, Interopérables et Traçables GOES : Global Online Expertise Search, a Web mining project for finding relevant people for specific surveys Dr. Gaudinat's work demonstrates a strong commitment to advancing information science through both theoretical contributions and practical applications that address contemporary challenges in data management and analysis.

• Machine Learning
• Deep Learning
• Bioinformatics
• +۶ مورد دیگر

Wolf Beat is an Associate Professor at the Fribourg School of Engineering and Architecture, part of the University of Applied Sciences of Western Switzerland (HES-SO). He is affiliated with the Institute of Complex Systems (iCoSys) where he conducts interdisciplinary research at the intersection of machine learning, bioinformatics, and document analysis. His educational background includes: BA HES-SO in Architecture from Fribourg School of Engineering and Architecture MSc HES-SO in Business Administration MSc HES-SO in Engineering PhD in "Reducing the complexity of OMICS data analysis" from University of Würzburg (2017) Dr. Beat's research spans multiple disciplines with a focus on applying machine learning techniques to solve complex problems. His work in bioinformatics has contributed to advancements in DNA sequencing analysis and genomic research, while his more recent work explores time series forecasting, document analysis, and anomaly detection. He has developed innovative approaches for handling historical manuscripts through computer vision techniques and has applied machine learning to geotechnical engineering problems. His research often bridges theoretical machine learning concepts with practical industrial applications. An analysis of his recent publications reveals a strong trend toward foundation models and diffusion models for time series analysis, alongside continued work in bioinformatics and document analysis. His research demonstrates a consistent pattern of applying cutting-edge AI techniques to domain-specific problems across diverse fields including healthcare, engineering, and digital humanities. Dr. Beat is actively involved in multiple research projects including ModIA (2024-2025, 15,000 CHF) and as principal investigator for the Foundation model for time series forecasting project (2024-2025, 100,000 CHF). His past projects include Monitoring des Transformateurs de Puissance (2023-2024, 220,000 CHF) and GREENum (2022, 24,700 CHF), demonstrating his ability to secure funding for interdisciplinary research. He collaborates extensively within the HES-SO network and with external partners, often serving as a co-researcher or principal investigator on projects that combine expertise from engineering, computer science, and domain-specific applications. His research team at iCoSys Institute includes multiple researchers working on AI and complex systems, and he has been involved in numerous projects with colleagues including Montet Frédéric, Pasquier Benjamin, Von Barnekow Alec, and Maillard Philippe. His work demonstrates a consistent commitment to developing practical AI solutions that address real-world challenges across multiple domains.

Andreas Henriciمشاهده پروفایل

پژوهشگر

• NMR spectroscopy
• Dynamical systems
• Mathematical analysis
• +۴ مورد دیگر

Andreas Henrici is a research-focused academic at the Zurich University of Applied Sciences (ZHAW), School of Engineering, within the Applied Complex Systems Science research centre. His core activities revolve around NMR spectroscopy, dynamical systems theory, and the development of machine-learning methods for automated spectral analysis. Education & professional development: Certificate of Completion, ZHAW Life Sciences and Facility Management, 02/2019 Doctorate (Dr.) – exact discipline and institution not specified in the source Research interests: Henrici combines analytical mathematics with practical spectroscopy. Early work concentrated on stability and symmetry analyses of nonlinear lattices (Toda lattice). More recently he leverages deep-learning architectures (CNNs, DETR-style networks) to deconvolute and classify 1D/2D-NMR data, pushing automation in metabolomics and fragment-based drug discovery. Bayesian inference, image-processing techniques, and trustworthy AI are recurring themes. Recent publication trends (2022-2025): Over 15 peer-reviewed articles and conference posters illustrate a clear shift toward AI-driven NMR: deconvolution networks, automated multiplet segmentation, spin-system identification, and uncertainty-aware classification. Collaborative projects yield open data, open code, and cross-disciplinary authorship with chemists, computer scientists, and industry partners. Editorial & organisational service: Guest editor for Frontiers in Artificial Intelligence volumes summarising European COST conferences on AI in Industry & Finance (2022, 2023) Project leader for the European conference series AI in Industry and Finance (completed) Current projects & funding: Smart Acquisition for Ultra-High field NMR Spectroscopy – project leader (ongoing) NMR-based drug discovery – co-project leader (ongoing) Several completed COST and ZHAW-internal grants on machine-learning for spectroscopy and mathematics-for-industry Labs & teams: Henrici is embedded in the ZHAW Applied Complex Systems Science focus area, working closely with the NMR, metabolomics, and data-science groups. Shared facilities include high-field NMR spectrometers and GPU clusters for deep-learning experiments.

• Medical Imaging
• Artificial Intelligence
• Blockchain Technology
• +۲ مورد دیگر

Dr. Lukas Lichtensteiger is a Researcher at the Zurich University of Applied Sciences (ZHAW), affiliated with the School of Engineering's Medical Complex Systems group. His work bridges engineering, AI, and medical technology, focusing on innovative solutions for healthcare and sustainability challenges. Research Focus Lichtensteiger's research spans medical imaging AI, blockchain applications, and complex systems engineering. Key areas include: AI-powered medical imaging for cancer therapy and artifact mitigation Blockchain-based solutions for decentralized finance and voting systems Complexity management in industrial and medical operations Publications Overview Recent works (2019-2023) demonstrate a strong focus on deep learning applications in medical physics (CT image enhancement, deformable registration) and blockchain technology (Fairtrade finance, e-voting). Earlier research addressed space science and morphological control systems. Projects Led SpaceVote (blockchain voting) and sensor tech for robotics projects Co-directed AI applications in cancer therapy and medical data training Contributed to blockchain solutions for agroforestry and supply chain finance

Simon Iwan Stingelinمشاهده پروفایل

مدرس

• Numerical Simulation
• Scientific Computing
• Finite Element Method
• +۶ مورد دیگر

Dr. Simon Iwan Stingelin is a Lecturer in Mathematics at the Institute of Applied Mathematics and Physics (IAMP) within the School of Engineering at Zurich University of Applied Sciences (ZHAW). His work focuses on scientific computing and algorithmics, with particular expertise in numerical methods and mathematical modeling. Dr. Stingelin's research interests span multiple domains of applied mathematics and computational science. He specializes in modeling and numerical simulation with emphasis on electrodynamics, fluid dynamics, and mechanics. His work also encompasses optimal control of partial differential equations and model reduction techniques. As an educator, he teaches advanced courses in numerical analysis and higher mathematics, with a focus on practical applications in engineering. His publication record demonstrates expertise across computational mathematics, fluid dynamics, and control theory. Recent work includes Bayesian analysis of NMR spectra, modeling of peristaltic pumps considering viscoelastic materials, and teaching methodologies for finite element methods using NGSolve. His research shows a consistent trajectory from theoretical mathematical problems to practical engineering applications, with publications spanning from foundational mathematical problems to applied engineering solutions. Dr. Stingelin leads and contributes to multiple research projects including Raman for Process Analytics (Deputy Project Leader, ongoing) Automatic Counting of Varroa Mites in Bee Colonies (Project Leader, completed) Position Error Correction Algorithm (Team Member, completed) SCIS Simulation Based Calibration of Infusion Systems (Team Member, completed) Optical Gas Sensor with Ceramic Cell (Team Member, completed) His teaching approach emphasizes hands-on computational methods, particularly through the use of NGSolve for finite element analysis. He has developed course materials that integrate Jupyter notebooks and interactive learning environments to teach Higher Analysis and Numerics to engineering students across multiple disciplines including Computer Science, Mechanical Engineering, Electrical Engineering, Systems Engineering, and Aviation.

Luca Bosettiمشاهده پروفایل

مدرس

• Machine Learning
• Chemical Process Design
• Crystallization Technology
• +۵ مورد دیگر

Luca Bosetti is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich , focusing on machine learning applications in chemical engineering and crystallization process design. Key research areas: Machine learning for thermodynamic predictions, sustainable chemical recycling, crystallization technology, and lifecycle assessment. Collaborations: Active partnerships with André Bardow, Marco Mazzotti, Benedikt Winter, and Johanna Lindfeld. Recent projects: Development of ML-CAMPD frameworks for solvent design, CO2 electrolyzer integration, and polyurethane waste recycling. His work combines machine learning with process engineering to address sustainability challenges in the chemical industry, including CO2 utilization , chemical recycling , and energy-efficient separations . Publications span journals like Computers & Chemical Engineering and Crystal Growth & Design , with recent contributions on hybrid crystallization processes , liquid-liquid equilibria , and automated LCA tools . His research has received funding from the CIRCULAR FOAM project (EC grant 101036854) , aiming to expand circular ecosystems for foam waste.

Abhijit Banerjeeمشاهده پروفایل

استاد

• Development Economics
• Macroeconomics
• Political Economy
• +۵ مورد دیگر

Abhijit Banerjee is the Ford Foundation International Professor of Economics at the Massachusetts Institute of Technology (MIT) , with a focus on Development Economics , Macroeconomics , and Political Economy . He co-founded the Abdul Latif Jameel Poverty Action Lab (J-PAL) and chairs the Global Education Evidence Advisory Panel . Education: PhD in Economics from Harvard University His research explores poverty, inequality, and policy effectiveness through randomized controlled trials. Key themes include: Development Economics: Multi-faceted poverty programs, microfinance impacts, and universal basic income. Public Health: Social learning in health campaigns, mental health in LMICs, and pandemic behavioral interventions. Political Economy: Elite capture in welfare programs, information-driven political accountability, and institutional reforms. Recent work analyzes social media's role in health messaging, labor supply responses to income changes, and network dynamics under formal credit exposure. His Nobel Prize (2019) , National Academy of Sciences (2020) , and Infosys Award (2009) highlight his contributions. Grants include the Making the Dynamics of Social Learning Visible project and COVID-19 Information Campaigns initiative. He advocates for behavioral economics in policy design and randomized evaluations to bridge theory-practice gaps.

• Biomedical Imaging
• Applied Functional Analysis
• Sampling Theory
• +۴ مورد دیگر

Michael Unser is a Full Professor at EPFL’s School of Engineering and Academic Director of EPFL’s Center for Imaging in Lausanne, Switzerland. His research focuses on biomedical imaging, applied functional analysis, sampling theory, wavelets, splines, and computational bioimaging. Current Position: Full Professor, EPFL School of Engineering Academic Role: Director of EPFL Center for Imaging Key Research Areas: Inverse problems, sparse stochastic processes, machine learning for imaging Dr. Unser’s research bridges mathematical theory with practical biomedical imaging applications. He has pioneered the use of splines for image processing, developed advanced regularization frameworks for inverse problems, and contributed to computational bioimaging techniques like SMLM and optoacoustic tomography. His recent work explores connections between deep learning and classical kernel methods through variational formulations. He has published over 400 journal papers and authored the seminal book on sparse stochastic processes. His scientific contributions have been recognized with multiple awards including IEEE and EURASIP Technical Achievement Awards, five IEEE-SPS Best Paper Awards, and three consecutive ERC Advanced Grants (FUN-SP, GlobalBioIm, FunLearn). He has served on editorial boards for leading journals and founded the IEEE SPS Bio Imaging and Signal Processing Technical Committee.

• Health Economics
• Development Economics
• Political Economy
• +۲ مورد دیگر

Samuel Lordemus serves as Lecturer and Research Officer in Global Health Economics at the University of Lucerne's Faculty of Health Sciences and Medicine. His academic foundation includes a PhD in Economics from the University of Sheffield, an MSc in Economics from Paris School of Economics, and an MSc in Materials Engineering from the University of Technology of Troyes. Prior to his current role, he worked as a Research Fellow at the University of York's Centre for Health Economics (2019-2022) and consulted for the Global Fund during doctoral studies. His educational background comprises: PhD in Economics, University of Sheffield MSc in Economics, Paris School of Economics MSc in Materials Engineering, University of Technology of Troyes Lordemus specializes in Health Economics, Development Economics, Political Economy, and Applied Econometrics, with extensive fieldwork across Colombia, Malawi, Liberia, DR Congo, and the Philippines. His research examines foreign aid in health system financing for low-income countries, public resource allocation in conflict settings, and historical determinants of health outcomes. Current work focuses on health insurance decision-making processes and pandemic-related impacts on gender-based violence. His publication portfolio (2013-2025) reveals consistent thematic focus on health-conflict-development intersections, featuring rigorous econometric analyses of pandemic effects on femicide, counterinsurgency impacts on healthcare financing, post-war health service restoration, and natural disaster fiscal responses. Recent work emphasizes methodological innovation in evaluating aid effectiveness and policy interventions in resource-constrained environments. As Research Officer, Lordemus actively contributes to the Health Economics research unit at Lucerne, though specific laboratory affiliations or team structures aren't detailed in available materials. His dual teaching-research role supports the Faculty's mission in health systems analysis and policy development.