جست‌وجوی استاد و پژوهشگر

Volker Dellwoمشاهده پروفایل

دانشیار

• Phonetics
• Speech Recognition
• Computational Linguistics
• +۴ مورد دیگر

Prof. Dr. Volker Dellwo is an Associate Professor of Phonetics and head of the Department of Computational Linguistics. His research focuses on phonetics, speech recognition, computational linguistics, and dialectology, with applications in forensic analysis, voice biometrics, and multimodal emotion recognition. Academic Rank: Associate Professor Department: Computational Linguistics His work explores phonetic convergence , speaker discrimination, and the role of prosodic features in voice recognition. Recent studies analyze whispered speech processing, cross-dialect accommodation, and neural mechanisms of speaker identity encoding. Key article trends include self-supervised learning for speech recognition , multimodal emotion detection , and forensic voice analysis . Subfields span acoustic variability, temporal envelope dynamics, and voice quality metrics. Publications emphasize computational phonetics , cross-linguistic studies , and neural network applications in speaker identification. Research also addresses challenges in forensic audio analysis and synthetic speech dataset generation.

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.

• Cartography
• Geomatic Engineering
• Historical Map Analysis
• +۴ مورد دیگر

Dr. Yizi Chen is a Researcher affiliated with the Professorship for Cartography at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. Their work focuses on advancing cartographic techniques through AI-driven methods, historical map analysis, and geospatial technologies. Key contributions include automated map vectorization, semantic segmentation of historical maps, and integrating multimodal data for robotic systems. They have published extensively in top-tier journals and conferences, addressing challenges in deep learning applications for geomatic engineering. Education details are not explicitly provided in the text. Research interests include semantic segmentation, generative AI for cartography, and steganography in image translation. Notable publications span topics from eye-tracking segmentation to urban land use mapping, reflecting a strong interdisciplinary approach. Dr. Chen collaborates on projects involving historical map digitization and benchmarking datasets for computer vision tasks. No awards or grants are mentioned. Their work contributes to advancing geomatic engineering through innovative solutions in digital mapping and spatial data analysis.

Joris van Gastelمشاهده پروفایل

استادیار

• Art History
• Sculpture
• Baroque Art
• +۲ مورد دیگر

PD Dr. Joris van Gastel is an art historian specializing in Baroque sculpture and material culture. Formerly Assistant Professor at the University of Zurich's Institute of Art History (2018-2024), he now conducts research at Spain's Consejo Superior de Investigaciones Científicas. His interdisciplinary work examines artistic materiality in early modern Italy through frameworks of sensory engagement and cultural meaning. Research explores the material dimensions of Baroque art, particularly in Naples and Rome, with emphases on: Sculptural embodiment and tactile reception Marble intarsia techniques and material semantics Still life painting in social-political contexts Intersections of art, geology, and natural philosophy Publications demonstrate consistent focus on material agency across Italian Baroque art, with recent work examining clay modeling practices and artistic synagonism. Organizes international conferences on material culture and serves as editor for academic volumes bridging art historical and theoretical perspectives. Maintains active research collaborations across European institutions.

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.

Mia Filicمشاهده پروفایل

استاد

• Ontology
• Aesthetics
• Philosophy of Music
• +۳ مورد دیگر

Mia Filic is a Full Professor of Theoretical Philosophy at the Faculty of Philosophy of the Università Vita Salute San Raffaele in Milan. She holds a doctoral affiliation with ETH Zürich's Department of Computer Science (D-INFK) and is affiliated with the Institute for Information Security. Her career includes teaching aesthetics at the Venice Academy of Fine Arts and collaborating with Massimo Cacciari at the IUAV. She co-founded the journal Paradosso and directs the column Theorein in Anfione-Zeto . Education: Graduated from the University of Venice in 1981 under Emanuele Severino Research Focus: Ontology, aesthetics, philosophy of music, and interdisciplinary studies in arts Her work bridges philosophy with art, literature, and music, emphasizing ontological questions in contemporary cultural production. Recent publications explore photography's philosophical dimensions, Lucio Battisti's musical philosophy, and Calvino's narrative structures. Awards: Premio Capalbio (2014) Labs/Teams: Co-director of Diaporein Research Center (meta-physics and philosophy of arts)

Helen Oleynikovaمشاهده پروفایل

مدرس

• Robotics
• Autonomous Systems
• Micro-Aerial Vehicles (MAVs)
• +۱۲ مورد دیگر

Helen Oleynikova is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich, where she is part of the Autonomous Systems Lab. She works on the intersection of perception and planning, particularly for micro-aerial vehicles. Her research focuses on real-time onboard mapping, planning, and localization using visual-inertial systems and signed distance fields. Research Interests: Helen's work spans robotics, autonomous systems, and computer vision, with a focus on enabling safe and efficient navigation in complex environments. She specializes in visual-inertial odometry, SLAM, 3D mapping using signed distance fields, and real-time path planning for MAVs. Her projects often involve embedded systems and FPGA-based high-speed vision for obstacle avoidance. Publication Trends: Her recent publications (2023–2019) show a consistent focus on real-time, onboard algorithms for autonomous navigation. Key themes include signed distance function maps, collision-free motion generation, global localization, and efficient exploration. She frequently publishes in top-tier robotics conferences such as ICRA and IROS, and journals like IEEE RA-L and Journal of Field Robotics. Professional Experience: Senior Researcher, Autonomous Systems Lab, ETH Zürich Senior Software Engineer, Isaac 3D Perception, Nvidia Senior Scientist, Microsoft Mixed Reality and AI Lab, Zürich Software Engineer, Google (StreetView) Contributor, Willow Garage (ROS, TurtleBot Arm) Education: PhD in Robotics, ETH Zürich (2019) MSc in Robotics, ETH Zürich BSc in Robotics, Olin College of Engineering (2011) Advising and Grants: While no formal students are listed, she has collaborated extensively with researchers at ETH Zürich and industry labs. Her work has been supported through institutional affiliations and industry research roles. She has contributed to open-source robotics software, particularly in ROS-based systems for manipulation and navigation. Labs and Teams: Helen is a key member of the Mobile Manipulation team at the Autonomous Systems Lab at ETH Zürich. She has also been involved in projects at Nvidia, Microsoft, Google, and Willow Garage, focusing on real-world deployment of autonomous systems.

• Computer Vision
• Extended Reality (XR)
• Artificial Intelligence
• +۷ مورد دیگر

Prof. Helmut Grabner is a Professor at the Zurich University of Applied Sciences (ZHAW), leading the Visual Intelligence and Applications Group and the Entrepreneurship initiatives within the School of Engineering. His work bridges computer science, medical technology, and visual communication, with a focus on Extended Reality (XR), surgical training simulations, and AI-driven decision making. Education: PhD in Computer Science (Graz University of Technology, 2008), Master's in Computer Science (2008), and a Certificate of Advanced Studies in Higher Education (ZHAW, 2021). Prior to academia, he held roles including CTO at Logitech and co-founder of upicto, applying computer vision in industry and startups. Research spans augmented reality medical training tools, NMR spectrum analysis via deep learning, and understanding visual engagement in advertising. Awards include the prestigious Koenderink Prize (2018) for contributions to computer vision. Projects include Immersive Education frameworks, bias-mitigation in venture capital algorithms, and surgical proficiency measurement systems. Teaching includes courses on Visual Computing, Machine Learning, and Deep Learning. His work integrates academic research with practical applications in healthcare, education, and entrepreneurship.

Yujia Zhangمشاهده پروفایل

استادیار

• Bioiontronics
• Microengineering
• Synthetic tissues
• +۳ مورد دیگر

Yujia Zhang is a Tenure Track Assistant Professor at the School of Engineering , École Polytechnique Fédérale de Lausanne (EPFL), leading the Laboratory for Bio-Iontronics (BION) since January 2025. His work focuses on developing iontronic biointerfaces and hybrid intelligent systems for biomedical applications. Academic Affiliations: EPFL School of Engineering, STI-SMT SMT-ENS PhD program committee Research Themes: Droplet-based iontronics, synthetic tissues, advanced manufacturing Research Trends from his publications emphasize microscale droplet iontronics , soft energy systems , and biohybrid interfaces , with applications in neurostimulation , tumor modeling , and biomedical devices . Scientific Awards : 2023: Early-career Research Scientist Representative, UK Parliamentary & Scientific Committee 2022: Excellent Doctoral Dissertation, Chinese Academy of Sciences 2021: Outstanding Doctoral Thesis, Chinese Institute of Electronics 2020: Special Prize for President Scholarship, Chinese Academy of Sciences Academic Contributions include mentoring PhD students and teaching microfabrication technologies. His lab develops 3D-printed synthetic tissues and droplet networks for interactive biological communication.

• Child Development
• Sensory-Motor Development
• Emotion Comprehension
• +۷ مورد دیگر

Edouard Gentaz is a Professor in the Psychology Section of the Faculty of Psychology and Educational Sciences at the University of Geneva (UNIGE). He leads the Sensory-Motor, Affective and Social Development Laboratory (SMAS), where he conducts research on child development with particular focus on sensory-motor, emotional, and social aspects across typical and atypical developmental trajectories. His research interests span multiple domains of developmental psychology, with emphasis on emotion comprehension in children , tactile exploration skills , social-emotional development , and intervention strategies for children with developmental challenges including autism spectrum disorders, preterm infants, and children with intellectual disabilities. His methodological approach frequently employs eye-tracking technology to assess socio-emotional capabilities in populations with communication limitations. Gentaz's publication record shows consistent productivity with 78 publications spanning two decades, with recent work focusing on screen time effects on young children, emotion training interventions, and sensory processing in neurodevelopmental conditions. His collaborative approach is evident in publications addressing practical applications in educational settings and healthcare contexts. His scientific contributions include research on: Early social-emotional abilities in infants and toddlers Development of emotion discrimination across childhood Interventions for preterm children's emotional and executive competences Multisensory perception in neurodevelopmental disorders Impact of digital media on young children's development Gentaz has supervised 120 academic works, indicating significant mentorship activity. His research demonstrates strong translational potential with applications in educational settings, clinical interventions, and parenting guidance, particularly regarding screen exposure for very young children.

Michaela Schäubleمشاهده پروفایل

استاد

• Media Anthropology
• Visual Ethnography
• Artistic Research
• +۸ مورد دیگر

Prof. Dr. Michaela Schäuble is a media anthropologist and documentary filmmaker at the University of Bern , where she serves as a professor and co-director of EMB-Ethnographic Mediaspace Bern . Her work bridges sensory ethnography, religious studies, and ecological critique through experimental methodologies. MA Comparative Literature (Tübingen University) MA Visual Anthropology (University of Manchester) PhD Social Anthropology (University of Halle-Wittenberg) with European Doctorate (Ca' Foscari Venezia) Her research examines media as belief apparatuses , focusing on sensory embodiment in religious rituals, ecological perception, and subaltern representation. Recent work explores digital surveillance through Big Data Lives (SNSF 184862) and climate change visual politics via Mediating the Ecological Imperative (SNSF 193842). Scientific awards include prestigious fellowships at Harvard, Bologna, UCL, Yale, and Vienna. She curates film programs at institutions like Grassi Museum and Zentrum Paul Klee , while co-hosting the RAI Film Festival Conference and leading the network VANEASA . As a supervisor, she has guided doctoral research on topics spanning Vodun ethnography, post-war memory, and more-than-human ecologies. Her film Tarantism Revisited (2024) premiered at DokLeipzig, reflecting her interest in trance practices and corporeal cinematography.

Natalia Umanskyمشاهده پروفایل

پژوهشگر ارشد

• Computational Social Science
• Political Communication
• International Relations
• +۴ مورد دیگر

Natalia Umansky serves as a Postdoctoral Research Fellow in Political Science at the University of Zurich's Faculty of Arts and Social Sciences, affiliated with the Institute of Political Science and the Digital Democracy Lab within the Digital Society Initiative (DSI). Her institutional profile highlights interdisciplinary engagement across DSI's Cybersecurity, Democracy, and Digital Humanities communities. Academic Background: PhD in Politics and International Relations (defence pending) from University College Dublin Iseult Honohan Scholar at University College Dublin's Connected_Politics Lab Her research pioneers Computational Social Science methodologies to analyze social media ecosystems, specializing in securitization theory applications to digital political communication. Current projects examine agenda-setting constellations in financial policy, hate speech detection frameworks, and TikTok's impact on youth political engagement. Methodologically, she integrates network analysis, natural language processing, and comparative case studies to investigate how security narratives propagate across digital platforms and influence democratic processes. Publication trends reveal a strategic evolution from foundational work on terrorism-migration linkages (2016) toward cutting-edge examinations of AI moderation systems (2024) and generative AI's role in security discourse (2025). Her scholarship consistently bridges political theory, data science, and platform governance with emphasis on empirical validation of computational models. Scientific Recognition: Iseult Honohan Scholar (University College Dublin) As a core member of Zurich's Digital Democracy Lab, Umansky contributes to high-impact collaborative projects analyzing digital threats to electoral integrity and developing transparency standards for algorithmic governance. Her work positions her at the forefront of computational political science, with emerging leadership in establishing methodological best practices for social media analysis in security contexts.

Ute Hollمشاهده پروفایل

استاد

• History of Cinema and Perception
• History of Audiovisual Media
• Media History of Acoustics and Electroacoustics
• +۳ مورد دیگر

Ute Holl is a Professor of Media Aesthetics at the University of Basel , specifically within the Department of Media Studies under the Faculty of Humanities. She holds the Holl Professorship and is affiliated with the eikones – Center for the Theory and History of the Image . Education: Studied literature, history, and philosophy in Freiburg im Breisgau with research stays in Rome and Boston. Prior Positions: Research assistant at Bauhaus University Weimar's chair for 'History and Theory of Artificial Worlds', Visiting Professor at Academy of Media Arts Cologne, and Chair of 'Media Philosophy' at Bauhaus University Weimar. Academic Milestones: Habilitation at Humboldt University Berlin (2009), Doctorate from Humboldt University Berlin (2001). Her research focuses on historical intersections of media, aesthetics, and epistemology , particularly: Cinema's role in shaping perceptual regimes Media archaeology of audiovisual technologies Electroacoustic and radiophonic cultures Experiments in ethnographic film Material histories of media infrastructures Philosophical dimensions of cultural techniques Recent publications explore cinematic trance states , radiophonic knowledge systems , and intermedial adaptations of Freudian concepts . She actively participates in academic events, including symposium organization (e.g., 'Work Alterität Amitié', 2025) and international conferences on media history. Her work frequently engages with interdisciplinary collaborations, particularly in visual studies, digital humanities, and postcolonial theory. As academic advisor, she guides students in: Media theory and praxis Historical analysis of technological cultural practices Critical approaches to digital infrastructures Interdisciplinary research methods She leads projects like Media Science and contributes to initiatives such as the Graduate School of Humanities and Social Sciences . Her methodological approach combines archival research with media-philosophical analysis.

Aaron Sellمشاهده پروفایل

استادیار

• Evolutionary Psychology
• Anger and Aggression
• Hatred
• +۳ مورد دیگر

Aaron Sell is an Assistant Professor of Psychology & Criminology at Heidelberg University in the United States. His academic work focuses on evolutionary explanations of human behavior, particularly in the domains of aggression, anger, and formidability. He is affiliated with the zIReN Network, where he contributes to research on evolutionary psychology and its applications to understanding human social behavior. Sell earned his BA from Ohio University and his PhD from the University of California, Santa Barbara. His research expertise lies in evolutionary psychology, with a particular focus on the functional design of emotions like anger and hatred. He has published extensively on topics related to aggression, formidability estimation, and the evolutionary underpinnings of social emotions. Sell's research interests center on understanding human emotions through an evolutionary lens. He has developed and tested the recalibrational theory of anger, which posits that anger evolved as a bargaining emotion to negotiate for better treatment. His work on hatred proposes the neutralization theory, distinguishing hatred as a distinct emotion from anger. He also investigates how human perceptions of formidability influence social interactions, conflict resolution, and justice systems. His research demonstrates how modern societal institutions, particularly criminal justice systems, reflect evolved human nature and ancestral logic of conflict. Sell's publications reveal a consistent focus on how emotions function as adaptations to solve specific social problems faced by our ancestors. His work bridges evolutionary theory with practical applications in criminology and social psychology, showing how evolved mechanisms continue to shape human behavior in modern contexts. His research on the visual and vocal assessment of physical strength has demonstrated correlations between upper body strength and perceptions of dominance, militancy, and bargaining power in social conflicts. BA, Ohio University PhD, University of California, Santa Barbara Sell teaches a variety of courses including Introduction to Criminology and Criminal Justice, Introduction to Psychology, Methods and Statistics in the Behavioral Sciences, Psychology and the Law, Policing and Law Enforcement, Social Psychology, Senior Seminar, and Intermediate Data Science. His teaching reflects his interdisciplinary expertise spanning psychology and criminology.

Gianvito Laeraمشاهده پروفایل

پژوهشگر ارشد

• prospective memory
• time estimation
• aging
• +۵ مورد دیگر

Gianvito Laera is a Postdoctoral Research Fellow at the University of Geneva's Department of Psychology within the Faculty of Psychology and Educational Sciences. He works in the Cognitive Aging Lab, focusing on prospective memory research with particular emphasis on time-based memory processes across the lifespan. His research integrates cognitive psychology, neuroscience, and gerontology to understand how people remember to perform future intentions. Dr. Laera received his PhD in Psychology from the University of Geneva (2018-2023), following a Master of Science in Neuroscience and Neuropsychological Rehabilitation from the University of Padua, Italy (2013-2016), and a Bachelor of Science in Psychological Sciences and Techniques from the University of Bari 'Aldo Moro', Italy (2010-2013). Prior to his doctoral studies, he worked as a Research Assistant at Keele University's Neuropsychology Lab (2016-2018) and completed a research internship at the University of Padua (2015-2016). His research primarily investigates prospective memory—particularly time-based prospective memory—which involves remembering to perform intended actions at specific future times. His work examines age-related differences in these processes, neural correlates using EEG methodology, strategic monitoring behaviors, and the impact of various contextual factors on memory performance. He employs both laboratory and web-based experimental approaches to study how people monitor time, check clocks, and manage cognitive resources when executing delayed intentions. His research has important implications for understanding cognitive aging and developing interventions to support memory in older adults. Analysis of his publication record reveals consistent focus on time-based prospective memory mechanisms across 15 recent publications. His work demonstrates sophisticated methodological approaches including meta-analyses, experimental manipulations of clock-speed, EEG measurements, and longitudinal assessments. Key trends include examining the cost of monitoring behavior, strategic clock-checking patterns, neural correlates of memory retrieval, and the relationship between personality factors and cognitive performance in aging populations. While no specific scientific awards are documented in the available information, his research has been published in high-impact journals across psychology, neuroscience, and gerontology, reflecting recognition within his field. As a postdoctoral researcher, Dr. Laera continues to develop his independent research program while collaborating with senior researchers in the Cognitive Aging Lab. His work bridges experimental cognitive psychology with real-world applications for understanding memory changes in aging populations.