جست‌وجوی استاد و پژوهشگر

Luca Di Graziaمشاهده پروفایل

پژوهشگر

• Software Engineering
• Generative AI
• Deep Learning
• +۷ مورد دیگر

Luca Di Grazia is a Researcher (Postdoctoral) in the STAR group at the University of Lugano (USI), Switzerland, supervised by Prof. Mauro Pezzè. He holds a PhD (summa cum laude) in Software Engineering from the University of Stuttgart, advised by Prof. Michael Pradel. Previously, he completed his Bachelor's and Master's degrees in Computer Engineering at the Polytechnic of Turin, Italy, with a minor in Embedded Systems. His research focuses on Generative AI, Program Repair, Software Evolution, and Code Search techniques. Education: Bachelor's and Master's in Computer Engineering, Polytechnic of Turin (Italy), with a thesis on "Protein classification using geometrical features for 3D face analysis". PhD in Computer Science (summa cum laude) from University of Stuttgart (Germany), thesis: "Supporting Software Evolution via Search and Prediction". Postdoctoral Researcher at USI, Switzerland. Research Interests: Generative AI for software testing and bug fixing (e.g., winning an Uber competition with a GenAI tool). Program Repair techniques, such as PyTy for Python type errors. Code Search and Change Retrieval (e.g., DiffSearch engine). Software Evolution and Type Annotation studies in Python. Achievements: ACM SIGSOFT Distinguished Paper Award at ESEC/FSE 2022 for work on Python type annotations. Second prize at ACM Student Research Competition at ICSE 2022. Won GenAI Uber competition (2023) with a project to boost developer productivity, beating 103 teams. Summa cum laude PhD (2024). Recipient of national scholarships during his studies at Polytechnic of Turin. Advising: Supervised seven students on projects including automated error repair and testing frameworks. Labs/Teams: STAR group at USI, collaborating with JetBrains and Uber.

• Geophysics
• Seismology
• Wave Propagation
• +۳ مورد دیگر

Dr. Dirk-Jan van Manen is a Lecturer at the Department of Earth and Planetary Sciences at ETH Zürich, located in Zurich, Switzerland. His research focuses on geophysics, seismology, and wave propagation with a strong emphasis on metamaterials and experimental wave physics. He is affiliated with the Institut für Geophysik and leads projects in elastic wavefield analysis, acoustic metamaterials, and non-destructive evaluation techniques. His recent work explores topics such as passive speech classification using mechanical neural networks, acoustic cloning, and the design of self-inverting space-time media. His research bridges theoretical models with practical applications in fields like seismic data processing, glaciology, and materials science. Dr. van Manen’s contributions include pioneering immersive wave experimentation setups and innovative methods for signal interpolation and scattering analysis in challenging environments.

Francesco Lancellottiمشاهده پروفایل

پژوهشگر

• Particle Physics
• Quantum Information Science
• Laser Physics
• +۳ مورد دیگر

Dr. Francesco Lancellotti is a Researcher affiliated with the Institute for Particle Physics and Astrophysics at ETH Zurich, Switzerland. His academic role is part of the Professorship for Low Energy Particle Physics, focusing on experimental and theoretical aspects of particle physics and quantum systems. He holds a permanent position and contributes to cutting-edge research in quantum technologies and laser-based methods. His research interests center on low-energy particle physics , quantum information processing , and mixed-species ion systems . Recent work emphasizes scalable quantum technologies, phonon dynamics in quantum regimes, and laser cooling techniques for entropy management. These studies bridge atomic physics, optics, and condensed matter physics to advance foundational understanding and applications. Francesco Lancellotti has not listed any formal advisees or scientific awards in the provided text. Grants and institutional funding details are unavailable beyond his affiliation with the Professorship for Low Energy Particle Physics. He is part of the research team at ETH Zurich’s Institute for Particle Physics and Astrophysics, contributing to interdisciplinary projects in quantum science.

Dimitar Petrovمشاهده پروفایل

دانشیار

• Static Analysis
• Cybersecurity
• Blockchain Smart Contracts
• +۵ مورد دیگر

Dr. Dimitar Petrov is an Associate Professor in Computer Science at Ca’ Foscari University of Venice, specializing in static analysis and cybersecurity. He is affiliated with ETH Zürich's Institute of Pharmaceutical Sciences (IPW) as staff under Tit.-Prof. Jörg Scheuermann. His research focuses on applying abstract interpretation-based methods to detect security vulnerabilities in systems ranging from blockchain smart contracts to IoT devices. Education details are not explicitly provided in the text, but his extensive publication history indicates advanced expertise in formal methods. His research interests include software verification, privacy enforcement, and the application of static analysis tools like LiSA across diverse domains such as robotics, microservices, and mobile applications. Key research trends in his articles emphasize blockchain security (smart contract vulnerabilities, consensus protocols), IoT/IoMT security (device interactions, privacy policies), and the integration of machine learning with program analysis. His work bridges academic research with industry challenges, addressing compliance with regulations like GDPR and the EU Data Act. Prior to his current roles, he has contributed to open-source frameworks like LiSA and collaborated on projects involving automated policy extraction, cross-language analysis, and vulnerability detection in automotive systems. His research group at Ca’ Foscari actively engages in both theoretical advancements and practical tool development. Labs/Teams: Part of the Software and System Verification group at Ca’ Foscari, and collaborates with ETH Zürich's Institute of Pharmaceutical Sciences on interdisciplinary projects combining formal methods with healthcare technology.

Hendrik Schmittمشاهده پروفایل

پژوهشگر

• Organic Chemistry
• Catalysis
• Synthetic Methods
• +۲ مورد دیگر

Hendrik Schmitt is a PhD student in the group of Prof. Stefano Morandi at the ETH Zurich, Switzerland, affiliated with the Laboratory of Organic Chemistry (LOC). His research focuses on synthetic organic chemistry and catalytic methodologies. Prior to his PhD, he earned a Master's degree in Chemistry from ETH Zurich (2015-2017) and a Bachelor's degree in Chemistry from TU Munich, Germany (2012-2015). He completed his Master’s thesis under Dr. Robert J. Phipps at the University of Cambridge (2016-2017) and an industrial internship at Syngenta (2020). His research interests include the development of novel catalytic reactions, particularly involving palladium and other transition metals, as well as the synthesis of heterocyclic compounds and site-selective cross-coupling strategies. Recent work has explored regiodivergent ring-expansion reactions, deoxygenative arylation, and ligand design for enhanced catalytic selectivity. Key publications highlight advancements in palladium-catalyzed methodologies and cross-coupling reactions, contributing to the field of organic synthesis. His lab, LOC, is part of the Department of Chemistry and Applied Biosciences at ETH Zurich.

• Geothermal Energy
• Fluid Dynamics
• Numerical Simulation
• +۳ مورد دیگر

Dr. Morteza Esmaeil Pour is a Lecturer at the Department of Earth and Planetary Sciences at ETH Zurich. He is affiliated with the Geothermische Energie u. Geofluide research group, located at NO F 61, Sonneggstrasse 5, Zurich, Switzerland. His research focuses on geothermal energy systems, fluid dynamics, and numerical simulations in the context of sustainable energy exploitation. Key research interests include geothermal system design, supercritical CO2 applications, fluid property modeling, and thermodynamic analysis. He has contributed to advancing understanding of multilateral closed-loop systems, interfacial instabilities in fluid displacement, and stochastic performance assessment of geothermal reservoirs. His recent work emphasizes optimizing geothermal energy extraction through enhanced fluid displacement techniques, nanoparticle applications, and electro-magneto-hydrodynamic methods. Dr. Esmaeil Pour’s publications span technical workshops like the Geothermal Reservoir Engineering series and address challenges in long-term reservoir sustainability and system efficiency. No scientific awards or grants are explicitly mentioned in the provided texts. He advises no listed students and is part of the Geothermische Energie u. Geofluide team at ETH Zurich’s Institute of Geophysics, contributing to cutting-edge geothermal energy research and engineering solutions.

Moreno Baruffiniمشاهده پروفایل

پژوهشگر ارشد

• Regional Economics
• Labour Economics
• Econometrics
• +۴ مورد دیگر

Dr. Moreno Baruffini is a Research Fellow and Head of the Observatory for Economic Dynamics (O-De) at the Institute for Economic Research (IRE), University of Lugano (USI). He holds a PhD in Economics from USI’s Faculty of Economics, focusing on Swiss labour market flexibility, security, and complexity. His research spans regional sciences, econometrics, and cross-border labour dynamics, with a focus on European border regions and 'flexicurity.' Education: PhD in Economics, University of Lugano (USI) Environmental Engineering (honours), Politecnico di Milano Research Interests: Microeconometrics, labour market policy analysis, cross-border mobility, economic complexity, and wage dynamics. His work integrates quantitative methods with regional and policy-oriented studies, particularly in trans-border economic integration. Key Contributions: Leading studies on Swiss labour market observatories, minimum wage impacts, and the effects of digital transformation on vulnerable groups. His analyses often address regional disparities and policy effectiveness in a globalized context. Awards/Grants: No specific awards listed, but active in funded projects like the 'Progetto Lavoro' evaluation for Lugano Municipality. Labs/Teams: IRE (Institute for Economic Research) and O-De (Observatory for Economic Dynamics), collaborating with regional and national institutions on labour market monitoring and policy design.

• Healthcare Technology
• Artificial Intelligence in Medicine
• Organizational Behavior
• +۳ مورد دیگر

Zoe Jonassen is an Assistant Professor of Assessing Innovation in Healthcare at the University of St. Gallen (HSG), affiliated with the MED-HSG initiative. Her research focuses on emotions, team dynamics, and technology integration in healthcare contexts. She holds a PhD in Innovation and Strategy from ETH Zurich (2020), Master's in Organizational and Social Psychology from the London School of Economics (LSE), and a Bachelor's in Psychology from the University of Konstanz. Her work explores AI applications in healthcare, remote patient monitoring, and the human aspects of technology adoption. Notable projects include algorithmic sepsis prediction systems, leveraging remote monitoring for diverse patient populations, and using ChatGPT to reduce administrative burdens in healthcare. She collaborates with institutions such as NYU Stern School of Business, ETH Zurich, LMU Munich, and MIT Sloan School of Management. Zoe teaches qualitative research methods for master's theses and frequently presents on topics like AI ethics in medicine and human-AI collaboration. Her research emphasizes balancing emotional tensions in healthcare technology design and fostering innovation across organizational boundaries.

Tino Endresمشاهده پروفایل

مدرس ارشد

• Retrieval Practice
• Emotional Design
• Strategy Training
• +۳ مورد دیگر

Roles & Affiliations : Senior Assistant at the University of Zurich (Educational Technology, Prof. Dr. Sascha Schneider) and Research Associate at Albert-Ludwigs-University of Freiburg (Educational Psychology and Developmental Psychology, Prof. Dr. Alexander Renkl). Holds a Dr. phil. (PhD in Psychology) from the University of Freiburg (2020). Education : PhD in Psychology (2020), University of Freiburg, Thesis: “Specificity and Enrichment in Retrieval Practice” M.Sc. Psychology with Honors (2014–2016), University of Freiburg B.Sc. Psychology (2010–2012), University of Freiburg Research Interests : Focuses on retrieval practice (testing effect), emotional design in educational media, self-regulated learning strategies, and the integration of generative learning with retrieval tasks. Recent work explores motivational factors influencing retrieval success and the role of narrative framing in instructional videos. Key Awards : Invited Junior Keynote Speaker, EARLI SIG 6/7 (2024) Best Paper Award, JURE 2017 (Tampere) Instructional Development Award, Adaptive Learning Platform ELIS (Freiburg/BMBF) Teaching & Advising : Supervised numerous Bachelor’s and Master’s theses at the University of Freiburg (2015–2023). Taught courses on pedagogical foundations, self-regulated learning strategies, and empirical research methods. Labs/Teams : Active in the Lasting Learning in Physics project and the EARLI Emerging Field Group on Cognitive Load and Self-Regulated Learning .

• Health Communication
• Digital Transformation in Education
• Strategic Communication
• +۷ مورد دیگر

Dr. Colette Schneider Stingelin is a researcher at the ZHAW School of Applied Linguistics and Institute of Applied Media Studies in Winterthur, Switzerland. Her work bridges health communication, digital transformation in education, and strategic campaign design. Research Focus: Health communication, digital media in education, and stakeholder engagement in aging technology. Affiliation: Zurich University of Applied Sciences, Swiss academic networks. Dr. Schneider Stingelin’s research emphasizes reciprocal knowledge transfer between academia and public health practice. She explores digital literacy in schools, media use among students, and communication strategies for healthcare innovation. Her recent work addresses AI integration in organizational communication and climate campaigns for Swiss cities. Her 15 most recent publications (2024-2025) span peer-reviewed journal articles, book chapters, and conference papers. Key themes include digital transformation in schools , health campaign evaluation , and technology adoption in elderly care . She frequently examines media ecology’s impact on homework practices and crisis communication in healthcare.

• Innovation and Entrepreneurship
• Human-Centered Design
• Design Thinking
• +۴ مورد دیگر

Felicitas Högger Niedermann is a Lecturer at the Chair for Media Linguistics and Manager of the MediaLab IAM at the Institute of Applied Media Studies (ZHAW School of Applied Linguistics). Her work bridges media design, innovation frameworks, and public engagement with science. Education : Master in Corporate Innovation Management (Eastern Switzerland University of Applied Sciences, 2018-2020), Bachelor in Visual Communication (University of Applied Sciences and Arts Northwestern Switzerland, 1999-2002), and specialized certifications in design thinking, LEGO® SERIOUS PLAY®, and online scribing. Her research focuses on human-centered design methods , design thinking , and visual collaboration , with a recent systemic design framework addressing pandemic preparedness and health communication. She co-authored peer-reviewed work on applying design principles to future health crises. Scientific Awards : Red Dot Design Award (2005). She serves as a coach in communication and media studies, manages the BA ProjectPlus module, and contributes to cultural change initiatives through facilitation certifications.

• Natural Language Processing
• Computational Linguistics
• Machine Translation
• +۷ مورد دیگر

Eneko Agirre is a Professor in the Department of Computer Science and Artificial Intelligence at the Faculty of Informatics, University of the Basque Country. He is a leading researcher in Natural Language Processing with a strong focus on multilingual systems, particularly for the Basque language, and has published extensively in top NLP conferences including ACL, EMNLP, and NAACL. His research spans multiple areas of computational linguistics including word sense disambiguation, machine translation, cross-lingual learning, and information extraction. Agirre has pioneered work on zero-shot learning approaches, data contamination issues in LLM evaluation, and low-resource language processing. His recent work includes developing the Latxa family of Basque language models and creating novel methods like WiCkeD for more challenging benchmarks and GUIDEX for zero-shot information extraction. Analysis of his recent publications reveals a strong trend toward addressing fundamental challenges in large language model adaptation, evaluation reliability, and cross-lingual transfer learning. His work often combines theoretical insights with practical applications, particularly for under-resourced languages like Basque. His research demonstrates how linguistic typology impacts cross-lingual performance and how to overcome data limitations through innovative methodology. Agirre has mentored numerous researchers who have become active contributors to the NLP field, including Oscar Sainz, Jon Ander Campos, and Iker García-Ferrero. His collaborative work spans institutions across Spain and internationally, reflecting his standing in the global NLP community.

Jiaguo Zhangمشاهده پروفایل

پژوهشگر

• X-ray Detectors
• Hybrid Pixel Detectors
• Synchrotron Radiation
• +۷ مورد دیگر

Jiaguo Zhang is a Researcher at the Paul Scherrer Institute (PSI) in Switzerland, affiliated with the Center for Photon Science and Laboratory for X-ray Nanoscience and Technologies . He specializes in hybrid X-ray detectors for free-electron lasers (FEL) and synchrotron radiation sources. Research Interests: Development of radiation-hard hybrid pixel detectors Thin entrance window technology for soft X-ray detection Low gain avalanche detectors (LGAD) optimization Quantum efficiency and signal-to-noise ratio improvements Calibration procedures for high-rate detectors Simulation and modeling of charge transport in silicon sensors Scientific Awards: Marie Curie Fellowship (MC-PAD), 2009 Responsibilities: Lead developer of the Gotthard-II detector’s ASIC components and coordinator for soft X-ray sensor projects in collaboration with FBK. Supports detector commissioning at EuXFEL and synchrotron facilities. Email: jiaguo.zhang@psi.ch

• Qualitative Research Methods
• Therapeutic Relationships
• Mental Health Interventions
• +۴ مورد دیگر

Nguyen Alexandra is an Academic Director at the Haute Ecole de Santé La Source (part of HES-SO), focusing on qualitative research methodologies and therapeutic interaction analysis in mental health. Her work emphasizes interprofessional care, human rights in healthcare, and professional self-disclosure. She leads an ongoing project developing an online training platform (e-PEPS) for schizophrenia care professionals, funded by the State of Vaud. Key research areas include psychoeducation, psychiatric rehabilitation, and innovations in healthcare education. Notable collaborations include projects with institutions like HorizonSud and Cooperativa Sociale Cagliari. She has authored/co-authored over 25 peer-reviewed papers and book chapters, contributing to clinical trials and pedagogical models like the 'Stand-up Design of Instruction' (STUDI). Her work bridges clinical practice with educational strategies, emphasizing experiential learning and interdisciplinary collaboration.

• Heart Failure Management
• Palliative Care
• Self-Care Interventions
• +۳ مورد دیگر

Girard Josepha is a HES Lecturer at the School of Health Sciences Fribourg, part of HES-SO University of Applied Sciences and Arts Western Switzerland. She specializes in palliative care and research methods, with a focus on cardiovascular health and healthcare quality improvement. Her work addresses heart failure management, self-care interventions, and interdisciplinary collaboration in clinical settings. Education: BSc HES-SO in Osteopathy from the Haute école de santé - Fribourg. Research Interests: Development of self-care support algorithms for heart failure patients Evaluation of nurse-led multidisciplinary interventions Palliative care practices and end-of-life ethics Medical device waste management optimization Publications Trends: Focus on feasibility studies of complex interventions, evidence-based practice in chronic disease management, and cross-cultural nursing roles. Recent work emphasizes sustainable healthcare practices and patient-centered care innovations. Awards: None explicitly mentioned. Grants & Advising: Extensive collaborative research projects with Linköping University (Sweden) and the University of Exeter (UK). Involvement in national and international clinical trials. Labs/Teams: Part of the UTILE project team and cardiovascular nursing research groups.