جست‌وجوی استاد و پژوهشگر

• Building Information Modeling (BIM)
• Geographic Information Systems (GIS)
• Digital Twin Technology
• +۳ مورد دیگر

Prof. Bernd Domer is an Associate Professor at the Geneva School of Landscape, Engineering and Architecture (HES-SO) specializing in Building Information Modeling (BIM) , Geographic Information Systems (GIS) , and digital transformation of civil engineering . He leads multiple ongoing research projects including CU_OFROU_PAB (CHF278,844) focused on BIM-GIS workflows for noise barriers, and SousEtoile (CHF50,000) developing subsurface prediction models for urban planning. His work addresses critical challenges in software interoperability and point cloud processing for infrastructure digital twins. BA HES-SO in Architecture (HEPIA) BSc Civil Engineering (EPFL) BSc HES-SO in Civil Engineering (HEPIA) MSc HES-SO in Engineering (HES-SO Master) His research explores digital workflows for infrastructure projects, with over 15 recent publications examining topics like: Semantic segmentation of point clouds (2024) IFC standard optimization (2023) Underground confidence level modeling (2021) Swiss BIM implementation frameworks (2020) Construction waste management platforms (2018) He serves as Head of the MIC Group and co-directs the CAS in BIM Coordination . Active in international committees like EG-ICE and Bauen digital Schweiz , his work bridges academic research with practical implementation through collaborations with HEPIA , HEIG-VD , and institutions like the Swiss Federal Roads Office (OFROU) .

Paolo Prandoniمشاهده پروفایل

مدرس

• Signal Processing
• Audio Processing
• Image Processing
• +۵ مورد دیگر

Paolo Prandoni is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences (IC). He serves as a Scientist in the Audiovisual Communications Laboratory (LCAV) and teaches in the SSC-ENS and SIN-ENS units, focusing on signal processing theory and practical applications in audiovisual communications. He earned his PhD from EPFL after completing all prior education there, driven by childhood fascination with long-distance telephony. His doctoral work established foundations in communication systems that continue to inform his research. Prandoni's research spans audio/image processing, machine learning for media analysis, and DSP education. Key areas include computational photography (e.g., spectral imaging, stained glass rendering), speech quality assessment via transfer learning, music information retrieval (e.g., fingering prediction), and audience analytics through his company Quividi. His work consistently bridges theoretical signal processing with real-world implementation. Recent publications reveal a strategic shift toward machine learning integration in signal processing tasks, particularly non-intrusive speech assessment and lensless imaging reconstruction. Simultaneously, he advances DSP pedagogy through MOOC development and hands-on teaching tools using off-the-shelf hardware, emphasizing accessibility and practical skill development. No scientific awards are documented in the provided materials. He has advised PhD student Thanikachalam Niranjan (thesis: Image Based Relighting of Cultural Artifacts , 2016) and teaches Communication Systems and Computer Science courses. His educational impact extends through the open-access textbook Signal Processing for Communications (2008) and tools like MultiPub for maintainable online classes. Industry engagement includes Quividi co-founding (2006) and ongoing CSO role in attention analytics. As a core LCAV laboratory member, he collaborates on interdisciplinary projects including cultural heritage digitization, embedded signal processing systems, and real-time audience measurement, leveraging EPFL's infrastructure for both academic and commercial applications.

Xuming Heمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۹ مورد دیگر

Xuming He is an Associate Professor at the School of Information Science and Technology (SIST), ShanghaiTech University, where he leads the PLUS Lab. His research spans computer vision and machine learning with a focus on developing algorithms that operate effectively under limited supervision and evolving data conditions. His core research interests include weakly-supervised and few-shot learning for scenarios with sparse annotations, continual learning frameworks for knowledge retention during sequential task acquisition, semantic segmentation techniques for scene understanding, and multimodal vision-language representations. He emphasizes interpretable machine learning to build transparent AI systems capable of human-understandable reasoning, addressing critical challenges in model trustworthiness and deployment reliability. Recent publications reveal strong trends toward novel class discovery in long-tailed recognition scenarios, physics-informed generative modeling for scientific applications, and robust segmentation under distribution shifts. His work increasingly integrates large language models for multimodal reasoning while maintaining focus on efficiency in resource-constrained environments like robotic grasping and medical imaging analysis. He actively mentors students, having supervised Qian He to PhD completion and Chuanyang Hu to Master's degree in 2023. He welcomes prospective graduate students through ShanghaiTech's Computer Science & Technology program and offers undergraduate research projects requiring minimum six-month commitments. The PLUS Lab under his direction drives innovation in learning under supervision constraints, with recent work spanning medical tumor analysis, cross-view geolocation, photonic computing, and semiconductor design verification. The lab's research bridges theoretical advances with practical applications across healthcare, robotics, and scientific discovery domains.

Jakub Macinaمشاهده پروفایل

پژوهشگر ارشد

• Natural Language Processing
• Learning Sciences
• Dialogue Systems
• +۶ مورد دیگر

Jakub Macina is a Doctoral Fellow at the ETH AI Center and a PhD Candidate at ETH Zürich . He works in the intersection of Natural Language Processing and Learning Sciences as part of the Language, Reasoning and Education Lab (led by Prof. Mrinmaya Sachan) and the Professorship for Learning Sciences and Higher Education (led by Prof. Manu Kapur). Forbes 30 Under 30 in Science & Education 2023 Recipient of ETH AI Center Fellowship ( Co-founder of a health-tech startup with seed investment Research Interests : Focus on generative large language models (LLMs), dialogue tutoring systems , pedagogical alignment of AI models, and mathematical reasoning . His work explores: Reinforcement learning for pedagogical steering LLM evaluation frameworks Socratic question generation Stepwise error detection and remediation Student-teacher interaction modeling Publications span top conferences like EMNLP , ACL , NeurIPS , and RecSys , with particular emphasis on educational applications of LLMs and dialogue-based learning systems . Scientific Awards : Forbes 30 Under 30 in Science and Education (2023) 2nd Place in ACM IT SPY Computer Science Master's Thesis Competition (2017) ETH AI Center Fellowship (2021) Leadership & Teaching includes: Managing team of 6 data scientists Teaching Assistant for Machine Learning and NLP courses at ETH Zurich Developing large-scale ML pipelines for recommender systems Open-source contributions to Discourse and Google Summer of Code projects

Aurélien Bornetمشاهده پروفایل

مدرس

• Nuclear Magnetic Resonance
• Dynamic Nuclear Polarization
• Hyperpolarization Techniques
• +۵ مورد دیگر

Aurélien Bornet is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Basic Sciences (SB), specifically within the Institute of Chemical Sciences and Engineering (ISIC). He serves as the Platform Leader for the Nuclear Magnetic Resonance Platform at EPFL, where he oversees advanced NMR facilities and research. Dr. Bornet's research focuses on Nuclear Magnetic Resonance (NMR) and Dynamic Nuclear Polarization (DNP) techniques. His work spans several key areas including hyperpolarization methodologies, development of NMR instrumentation, and applications in both chemistry and biomedical fields. His research has led to significant advancements in dissolution DNP, long-lived nuclear spin states, and hyperpolarized metabolite imaging. His recent publication record demonstrates strong activity in developing new NMR techniques and applications, with particular emphasis on hyperpolarization methods that dramatically enhance NMR sensitivity. His work bridges fundamental physics with practical applications in medical imaging and materials science. The research outputs include numerous high-impact publications in journals like Nature Communications, Journal of the American Chemical Society, and Physical Chemistry Chemical Physics, as well as several patents related to NMR technology. Dr. Bornet has received recognition through multiple patents for his innovations in NMR technology, including patents related to polarizing agents, dissolution DNP methods, and NMR instrumentation. His work has important implications for biomedical imaging, particularly in the development of hyperpolarized metabolic imaging for cancer diagnostics and other medical applications. As an educator, Dr. Bornet teaches courses on Basic and Advanced NMR at multiple levels (Level 1 A, Level 1 B, and Level 2) at EPFL and in Sion. His teaching focuses on both theoretical and experimental aspects of NMR, providing students with hands-on experience with modern NMR spectrometers. His academic journey includes completing his PhD at EPFL in 2015 with a thesis on hyperpolarized protons for enhancing NMR sensitivity, advised by G. Bodenhausen and S. Jannin. Prior to this, he completed earlier research on long-lived states as probes of protein stability in 2010 under the supervision of G. Bodenhausen and P. Vasos.

• Marketing
• Digital Transformation
• Sustainability
• +۳ مورد دیگر

Dr. Alessandro Inversini is an Associate Professor at the EHL Hospitality Business School, part of HES-SO University of Applied Sciences Western Switzerland. His primary role involves teaching and researching in the Department of Global Hospitality Business, focusing on marketing, digital transformation, and sustainability within the hospitality and tourism sectors. Educational Background: No explicit educational details provided in the text. Research Interests: Explores the transformative impact of emerging technologies (e.g., AI, ChatGPT) on hospitality operations and customer experience. Advocates for regenerative and net-positive approaches to sustainability in the hospitality industry. Investigates CSR communication strategies on social media and cross-cultural dynamics in tourism reviews. Analyzes digital media’s role in B2B relationships and customer-centric frameworks. Article Trends: Recent works emphasize AI-driven changes in tourism, ethical digital transformation, and CSR practices. Key themes include regenerative hospitality, cultural review differences, and leveraging social media for transformative learning. Awards: No scientific awards explicitly listed. Advising & Grants: Guided research on regenerative hospitality in Lebanon and transformative homestay experiences in Malaysia. Contributed to international conferences like ENTER2016 and EuroCHRIE 2024. Labs/Teams: Collaborates with interdisciplinary teams on projects involving digital tools for rural development and ethical technology integration in hospitality.

Gaétan de Rassenfosseمشاهده پروفایل

دانشیار

• Science and Technology Policies
• Intellectual Property
• Innovation Economics
• +۳ مورد دیگر

Gaétan de Rassenfosse is an Associate Professor at EPFL's School of Management of Technology (CDM), specializing in Science, Technology, and Innovation Policies. He joined EPFL in 2014 and holds a PhD in Economics from the Solvay Business School (Université Libre de Bruxelles). His research focuses on crafting evidence-based policies for knowledge economies, particularly in intellectual property, intangible capital measurement, and 'science of science.' He has published in top journals like Journal of Industrial Economics and Research Policy , secured over CHF 2.5M in research grants, and advised governments and international organizations such as the European Commission and Swiss Federal Office for Education and Research (SERI). He teaches courses on innovation economics and intellectual property management. Professional roles include membership in the CDM Management Board, the Conference of Section Directors (CDS), and doctoral program committees. His advising includes guiding 5 PhD students focusing on policy impacts in clean technology, innovation incentives, and science organization. Key research themes span patent systems, innovation policy efficacy, and cross-border knowledge flows. He actively engages with media and policymakers to translate academic insights into actionable public strategies.

• Computer Graphics
• Computer Vision
• Virtual Reality
• +۷ مورد دیگر

Prof. Dr. Aljosa Smolic is a Professor and Co-Head of the Immersive Realities Research Lab at Lucerne School of Computer Science and Information Technology, Lucerne University of Applied Sciences and Arts. He joined HSLU in 2022 and became Co-Head in 2023. Previously, he served as SFI Research Professor at Trinity College Dublin (2016-2021) where he led the V-SENSE group in visual computing, combining computer vision, graphics, and media technology. His career includes positions as Senior Research Scientist at Disney Research Zurich (2009-2016) and Scientific Project Manager at Fraunhofer HHI (2001-2009). He holds a PhD from RWTH Aachen University. Research focuses on immersive technologies including AR/VR, volumetric video, light-fields, and deep learning applications in visual computing. His work has resulted in over 50 Disney R&D projects, publications, patents, and technology transfers. Publications emphasize VR evaluation, volumetric video applications, 3D reconstruction, and XR in education, frequently employing deep learning and computer vision techniques. Awards and Recognition: IEEE ICME Star Innovator Award 2020 TCD Campus Company Founders Award 2020 Multiple best paper awards Co-founded Volograms (volumetric video startup) and holds editorial roles including Associate Editor for IEEE Transactions on Image Processing.

• Machine Learning
• Augmented Intelligence
• Data Science
• +۱۲ مورد دیگر

Simon Ruffieux is a Senior Researcher and Lecturer at the Department of Computer Science, University of Fribourg, and a member of the Human-IST Institute. He currently leads the HIP-Initiative (Human-IST x SwissPost Initiative) and coordinates academic projects related to Swiss Post. His academic roles include Lecturer and Senior Assistant , reflecting his active engagement in teaching and research. His research focuses on leveraging advanced technologies to support individuals, particularly those with special needs. Key areas include: Machine Learning and Data Science for urban systems (e.g., bike-sharing optimization) Human-Computer Interaction (HCI), especially gesture recognition and multimodal interfaces Augmented and Virtual Reality applications in rehabilitation and assistance Development of smart glasses for visually impaired users Physiological signal analysis for workload classification The 15 most recent publications reveal a strong trend in applying AI and data science to real-world challenges, particularly in assistive technologies and urban mobility. His work often involves interdisciplinary collaboration, integrating computer science with psychology, rehabilitation, and industrial applications. There is a consistent emphasis on user-centered design and real-world usability. Simon Ruffieux has not been mentioned as receiving specific scientific awards in the provided text. He has advised or collaborated with several researchers, including Nicolas Spycher, Samuel Torche, and Nicolas Ruffieux, on projects related to forecasting, AR, and gesture recognition. While no formal grant details are listed, his leadership of the HIP-Initiative suggests involvement in externally funded academic projects. His work is closely tied to the Human-IST Institute, where he contributes to interdisciplinary research in human-centered computing. He is actively involved in research teams focused on assistive technologies, gesture interaction, and data-driven urban solutions. The Human-IST Institute serves as the primary hub for his collaborative efforts, particularly through the HIP-Initiative with Swiss Post.

• Human-Machine Interaction
• Usability Testing
• User Experience (UX)
• +۵ مورد دیگر

Jürgen Sauer is a Full Professor at the University of Fribourg , affiliated with the Department of Psychology under the Faculty of Letters and Human Sciences . With over 120 publications, his research focuses on Human-Machine Interaction , Usability Testing , User Experience (UX) , and Automation Design , particularly in high-stakes environments like X-ray baggage screening and spaceflight simulations . Email: juergen.sauer@unifr.ch Phone: +41 26 300 7622 Address: RM 01 bu. C-1.117, Rue PA de Faucigny 2, 1700 Fribourg Orcid: 0000-0003-2105-1694 His research projects, funded by the Swiss National Science Foundation (FNS), include: Improving work design for airport security officers (2019-2024): Developed pictorial scales for measuring psychological constructs in security environments. Social stress and support in hybrid teams (2018-2023): Investigated machine-induced social stressors and mitigation through social support. Automation in visual inspection tasks (2014-2018): Examined adaptable automation for baggage screening and system reliability effects. Usability testing effectiveness (2012-2016): Analyzed cultural background impacts and non-usability product features influencing test outcomes. Key contributions include the Luggage Inspection Simulation (LIS) environment for modeling work environments and the development of pictorial usability scales for multilingual applicability. His work bridges ergonomics , human factors , and applied psychology , with notable collaborations with researchers like Adrian Schwaninger and Andreas Sonderegger . His recent publications (2025-2014) analyze: Human-machine performance under false alarms and miscues Social stressor dynamics in hybrid teams Usability scale animation effects Phubbing behavior in professional contexts Accessible website design for non-disabled users

Filipe CALVAOمشاهده پروفایل

دانشیار

• Extractive Economies
• Labour & Employment
• Digital Technologies
• +۴ مورد دیگر

Filipe CALVAO is an Associate Professor of Anthropology and Sociology at the Graduate Institute of International and Development Studies. He specializes in socio-cultural anthropology focusing on postcolonial Africa, extractive economies, mining labor, and digital technologies. His research bridges nature, culture, and capital, particularly in mining communities and corporate governance. He leads three major projects: transparency in global mining, digital labor automation in the Global South, and synthetic-digital economies in mining. CALVAO holds a PhD from the University of Chicago and is affiliated with the Albert Hirschman Centre on Democracy and the Centre for International Environmental Studies. Thematic expertise includes extractive economies, labor dynamics, artificial intelligence, climate change, and globalization. Geographical focus spans Angola, Democratic Republic of the Congo, South Africa, Brazil, the U.S., and Australia. His peer-reviewed work examines topics like wageless labor in African mines, blockchain’s impact on labor, and visual appraisal practices in diamond evaluation. Research projects explore transparency technologies in mining, automation’s societal impacts, and the interplay between synthetic/natural objects in digital economies. He contributes to debates on sustainable development, illicit economies, and corporate governance through interdisciplinary approaches.

Jacques Lévyمشاهده پروفایل

استاد

• Urban Planning
• Spatial Planning
• Territorial Development
• +۵ مورد دیگر

Jacques Lévy is an Honorary Professor at the École Polytechnique Fédérale de Lausanne (EPFL), where he directs the Chôros Laboratory and the doctoral program in Architecture and Urban Sciences. He holds affiliations in the School of Architecture, Civil and Environmental Engineering (ENAC) under the PH-ENAC department. Previously, he served as a researcher at CNRS (1984–1993), professor at Sciences Po Paris (1989–2007), and the University of Reims (1993–2004). He is a visiting professor at institutions including NYU, UCLA, and Macquarie University, and a former fellow at the Wissenschaftskolleg zu Berlin (2003–2004). His research focuses on the theory of societal spaces, particularly political geography, urbanity, globalization, and cartography. He has pioneered the integration of non-verbal methods like audiovisual media in research, culminating in the 2013 film Urbanité/s . He co-directs the open-access journal EspacesTemps.net and the L'espace en société book series, while advising on Pouvoirs Locaux . Key themes in his work include spatial epistemology, territorial development, and the interplay between global and local dynamics. His publications (over 600 works) span geographies of politics, Europe's spatial identity, and globalization impacts. Recent works include Globalization of Urbanity (2013) and Réinventer la France (2013). Scientific Awards: Fellow at Wissenschaftskolleg zu Berlin (2003–2004). Grants/Advising: Supervisor of 15 EPFL doctoral theses in urban studies, geography, and related fields. Labs/Teams: Heads the Chôros Laboratory and contributes to interdisciplinary urban research initiatives.

Markus Klammerمشاهده پروفایل

استاد

• Art Theory
• History of the Image
• Aesthetics
• +۴ مورد دیگر

Markus Klammer serves as the Schaulager Professor of Art Theory within the Department of Art History at the University of Basel and acts as deputy director of eikones – Center for the Theory and History of the Image. His institutional affiliations include the Philosophisch-Historische Fakultät and the Kunsthistorisches Seminar, with offices located at St. Alban-Graben 8 and Rheinsprung 9/11 in Basel. His research focuses on the theoretical foundations of art and visual culture, with particular expertise in the relationship between images and knowledge systems. Klammer's work bridges philosophical inquiry with art historical analysis, examining how visual representation functions within broader epistemological frameworks. His scholarship demonstrates a consistent engagement with questions of aesthetic experience, the materiality of images, and the theoretical underpinnings of artistic practice throughout modernity. Klammer's recent publications reveal a strong trajectory in examining art's relationship to contemporary philosophical concerns, particularly in the post-truth era and within capitalist frameworks. His work shows increasing engagement with interdisciplinary approaches that connect aesthetics to political economy and epistemological questions. As deputy director of eikones, Klammer plays a significant role in one of Switzerland's premier research centers dedicated to image theory, contributing to its mission of coordinating and promoting research and teaching on the theory and history of images across disciplinary boundaries. His academic mentorship includes supervision of student assistants and researchers working on image theory projects, continuing the tradition of scholarly development within Basel's vibrant art historical community.

Matteo Dal Peraroمشاهده پروفایل

دانشیار

• Computational Biophysics
• Molecular Modeling
• Structural Biology
• +۵ مورد دیگر

Matteo Dal Peraro is an Associate Professor at École polytechnique fédérale de Lausanne (EPFL) in the School of Life Sciences, where he leads the Laboratory for Biomolecular Modeling (LBM) within the Interfaculty Institute of Bioengineering (IBI). He also holds significant administrative roles as Head of IBI-SV Administration and Co-Director of IBI-STI Administration, demonstrating his leadership across both the School of Life Sciences and School of Engineering. His research bridges computational approaches with experimental validation to understand complex biological systems at multiple scales. His educational background includes a B.S. and M.S. in Physics from the University of Padua (2000), followed by a Ph.D. in Biophysics from the International School for Advanced Studies (SISSA) in Trieste (2004). He then completed postdoctoral training at the University of Pennsylvania under Professor M. L. Klein before joining EPFL as a Tenure Track Assistant Professor in late 2007. Dal Peraro's research focuses on computational biophysics and multiscale modeling of biological systems, with particular emphasis on membrane-protein interactions, nanopore sensing technologies, and structural biology. His work spans fundamental molecular mechanisms to applied educational technologies, demonstrating a commitment to both scientific discovery and knowledge dissemination. He has made significant contributions to understanding protein-membrane interactions, antibiotic resistance mechanisms, mitochondrial disorders, and viral pathogenesis through advanced computational approaches. His publication record shows a strong trend toward integrating augmented and virtual reality technologies with molecular modeling, exemplified by his development of the moleculARweb platform for chemistry and structural biology education. His research spans computational methods development, structural characterization of biomolecules, membrane biophysics, and applications to medically relevant problems including antibiotic resistance and neurodegenerative disorders. This interdisciplinary approach connects fundamental biophysical principles with practical applications in medicine and education. Dal Peraro has mentored numerous doctoral students through EPFL's PhD programs, particularly in Computational and Quantitative Biology. His leadership extends to serving on PhD program committees and directing research groups focused on computational molecular biology. He has established collaborations across multiple disciplines, facilitating integrative approaches to complex biological problems. He leads the Laboratory for Biomolecular Modeling (LBM), which develops and applies computational methods to study biological systems at multiple scales. The lab bridges molecular simulations with experimental validation, creating a synergistic approach to understanding complex biological phenomena. Dal Peraro's team has made significant contributions to membrane biophysics, protein folding, and the development of educational technologies that make structural biology accessible through augmented reality platforms.

Jeffrey W. Bodeمشاهده پروفایل

استاد

• Synthetic organic chemistry
• Chemical biology
• Protein synthesis
• +۹ مورد دیگر

Professor Jeffrey W. Bode serves as Full Professor at the Department of Chemistry and Applied Biosciences at ETH Zurich, Switzerland, and maintains a secondary affiliation with the Institute of Transformative Biomolecules at Nagoya University, Japan. His internationally recognized research laboratory develops novel chemical reactions that operate under physiological conditions, bridging synthetic organic chemistry with biological applications. The Bode Research Group specializes in creating chemical methodologies that function in water and biological environments, including proteins, cells, and tissues. Their major research thrusts include acylboronate chemistry (particularly potassium acyltrifluoroborates or KATs), protein synthesis through ketoacid-hydroxylamine (KAHA) ligation, synthetic fermentation for drug discovery, and SnAP chemistry for N-heterocycle synthesis. These innovations enable applications in wound healing, drug delivery, cellular encapsulation, and artificial tissue development. The group's work on chemoselective ligation reactions has fundamentally advanced amide bond formation without traditional coupling reagents. Recent publications demonstrate a strong trajectory toward automated synthesis platforms, protein engineering, advanced bioconjugation techniques, and applications in chemical biology. The group has successfully commercialized SnAP chemistry through Sigma Aldrich and developed KAHA ligation into a robust method for synthesizing large proteins. Their research consistently focuses on creating molecules inaccessible through existing technologies, with particular emphasis on physiological compatibility and biological relevance. Professor Bode leads an international research team of approximately thirty PhD students and postdoctoral researchers from twenty different countries. The Bode Research Group maintains extensive collaborations across disciplines, contributing significantly to chemical biology, medicinal chemistry, and materials science. Their laboratory is equipped with advanced automation platforms for organic synthesis and maintains strong connections with pharmaceutical and biotechnology industries for translational applications of their chemical methodologies.