جست‌وجوی استاد و پژوهشگر

April Yi Wangمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Educational Technology
• Programming Support
• +۴ مورد دیگر

April Yi Wang is a tenure-track Assistant Professor in the Department of Computer Science at ETH Zürich, where she directs the Programming, Education, and Computer-Human Interaction Lab (PEACH Lab). She is a core faculty member at the Institute for Intelligent Interactive Systems and associated with the ETH AI Center. Wang is also an active member of ETH HCI and Swiss CHI communities, contributing significantly to human-computer interaction and educational technology research. Dr. Wang's educational background includes: Ph.D. in Information Science from University of Michigan (2023), advised by Steve Oney and Christopher Brooks M.Sc. in Computer Science from Simon Fraser University (2018), advised by Parmit Chilana B.Eng in Computer Science from Zhejiang University (2016) Dr. Wang's research focuses on human-centered approaches to programming and data science. Her work reimagines programming as a form of literature that communicates with both machines and people, exploring creative representations like text, shapes, animations, and everyday objects. She investigates how to make programming more natural and intuitive through literate programming environments, with applications in professional and educational contexts. Her research spans human-computer interaction, educational technology, and AI-assisted programming tools. Analysis of Dr. Wang's recent publications reveals a strong focus on AI-enhanced educational tools, particularly for programming and data literacy. Her work increasingly integrates large language models to scaffold learning while maintaining user agency. There's a clear trajectory toward developing situated learning approaches that connect abstract concepts to real-world contexts through augmented reality and tangible interfaces. Her research bridges HCI, education, and AI to create more accessible and engaging technical learning experiences. Dr. Wang has received numerous prestigious awards including: 2023 Gary M. Olson Award and Honourable Mention Award at ACM CHI 2022 Rising Stars in EECS and Heidelberg Laureate Forum Young Researcher 2020 Best Short Paper Award at IEEE VL/HCC and Honourable Mention at ACM CHI 2019 Best Paper Award at ACM CSCW Dr. Wang actively mentors students through thesis projects at ETH Zürich, supervising numerous bachelor's and master's students on topics ranging from AI-assisted programming to data literacy tools. Her lab, PEACH Lab, has secured funding including the recent innovedum funding for the Coducate project. She serves on program committees for major conferences including CHI and UIST, and regularly reviews for top HCI and education journals. The PEACH Lab, directed by Dr. Wang, focuses on creating expressive, intelligent, and human-centered systems that make technical topics more accessible. The lab explores textual, visual, and embodied representations for programming, with emphasis on enhancing communication, collaboration, and learning. Current research directions include balancing automation with user agency, supporting diverse learning needs, and developing tools for interdisciplinary technical communication.

• Computer Architecture
• Computer Systems
• Approximate Computing
• +۱۰ مورد دیگر

Pejman Lotfi-Kamran is an Associate Professor at the School of Computer Science, Institute for Research in Fundamental Sciences (IPM), Tehran, where he also serves as the head of the school and director of Turin Cloud Services. His research focuses on computer architecture, systems, approximate computing, and cloud computing, with an emphasis on performance and energy efficiency for big-data applications. His educational background includes: Ph.D. in Computer Science, EPFL (2013) M.Sc. in Electrical and Computer Engineering, University of Tehran (2005) B.Sc. in Electrical and Computer Engineering, University of Tehran (2002) Lotfi-Kamran's research spans computer architecture innovations, including data and instruction prefetching, networks-on-chip, coherence protocols, and many-core processor design. He has pioneered work on scale-out processors, neural acceleration for GPUs, and approximate computing frameworks. His publications appear in top venues such as ISCA, HPCA, MICRO, and IEEE/ACM journals. His recent articles reflect a strong trend in improving system performance through intelligent prefetching, efficient NoC designs, and energy-aware architectures. Key themes include reducing frontend bottlenecks, optimizing cache behavior, and enhancing data delivery in large-scale systems. His work often combines cross-stack insights with hardware-software co-design for real-world impact. Scientific awards and recognitions include: 2017 CADS Best Paper Award 2016 Young Faculty Award from Iran's National Elites Foundation 2012-2013 Intel Ph.D. Fellowship 2012 and 2011 HiPEAC Paper Awards 2011 HPCA Best Student Paper Finalist Multiple academic honors from University of Tehran He has advised several graduate students including Paria Darbani, Ali Ansari, Mohammad Bakhshalipour, and Farid Samandi, many of whom have co-authored significant papers. His teaching spans institutions like Sharif University of Technology, Iran University of Science and Technology, and EPFL, covering advanced computer architecture and multiprocessor systems. He has led research projects such as AxBench and CloudSuite on Simics, and contributed to national initiatives like Iran’s National Grid. He is actively involved in tool development and continues to shape research in next-generation computing systems. He leads the Turin Cloud Services initiative at IPM and is deeply engaged in both theoretical and applied aspects of computer systems research, with ongoing work in neural acceleration, approximate computing, and scalable architectures.

Lukas Fischerمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Machine Translation
• Computational Linguistics
• +۴ مورد دیگر

Lukas Fischer is a researcher specializing in Natural Language Processing and Machine Translation, currently affiliated with the Language, Technology and Accessibility project. He holds an M.Sc. in Artificial Intelligence from the University of Edinburgh (2017-2018) and a B.A. in Computational Linguistics from the University of Zurich (2012-2016). His recent roles include lead developer for the Digilinguo online platform since 2025 and contributions to multimodal machine translation projects like IICT and Bullinger Digital. Research Focus: Machine translation for historical languages (Latin, Early New High German) Text simplification and accessibility technologies Multimodal translation systems Data curation for multilingual historical corpora Code-switching detection in early modern texts Publications highlight his work on SwissADT (audio description translation for Swiss languages), LLM-based Latin translation, and medieval text processing. His projects span both computational linguistics and practical accessibility applications.

• Reconfigurable Computing
• Electronics Design Automation
• Post-Quantum Cryptography
• +۴ مورد دیگر

Dr. Andrea Guerrieri is an Associate Professor at the University of Applied Sciences and Arts Valais-Wallis - School of Engineering , specializing in Reconfigurable Computing, Electronics Design Automation (EDA), and Post-Quantum Cryptography . His work focuses on accelerating FPGA compilation through tools like DynaRapid and optimizing security protocols via Dynamatic , with technologies adopted by industry leaders including Intel, AMD-Xilinx, and CERN . He holds a BSc in Industrial Systems and a MSc in Engineering from HES-SO, and teaches courses in Digital Design and Embedded Hardware. BSc HES-SO in Industrial Systems (2019) BSc HES-SO in Computer and Communication Systems (2017) MSc HES-SO in Engineering (2021) Guerrieri’s research bridges High-Level Synthesis (HLS) and Reconfigurable Architectures to enhance FPGA performance for both terrestrial and space applications . His 2025 publications highlight advancements in heterogeneous computing , energy-efficient PQC , and rapid compilation frameworks . Notably, his 2024 work on DynaRapid achieved 20× speedup in C-to-FPGA implementation. Key scientific contributions span dataflow circuit optimization , dynamic scheduling , and automated code transformations . His 2023 book Applications Enabled by FPGA-Based Technology and 2021 textbook System-on-Chip Design with Arm established foundational references in embedded systems. Awards include Best Paper at FPL 2024 , Outstanding TPC Member at DAC 2024 , and IEEE Senior Membership (2021) . 2024: Best Paper Award (FPL), Outstanding Short Paper Award (HPEC) 2023: H-Saber publication on PQC optimization 2021: IEEE Senior Member recognition As Chair of Onboard Computing for the CHEESE-NASA SSERVI consortium, he leads international collaborations with ETH Zurich, University of Geneva, California State University , and companies like NVIDIA, Arm, and NASA . His projects include the Innosuisse-funded DyReCte initiative (2019–2021) for reconfigurable cryptoengines in nanosatellites.

• Reconfigurable Computing
• Electronics Design Automation
• FPGA Design
• +۶ مورد دیگر

Andrea Guerrieri serves as an Associate Professor at the School of Engineering, University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis), specializing in reconfigurable computing and electronics design automation. His research has established significant industry impact through tools like DynaRapid and Dynamatic, with technology adopted by major semiconductor companies including MIPS, Intel, and AMD-Xilinx. BSc HES-SO in Industrial Systems - System-on-Chip specialization BSC HES-SO in Computer and Communication Systems - Digital Design specialization MSc HES-SO in Engineering - Embedded Hardware and Firmware specialization Professor Guerrieri's research focuses on reconfigurable computing, electronics design automation (EDA), and security, with particular emphasis on FPGA design, high-level synthesis, and post-quantum cryptography implementations. His work bridges the gap between theoretical computer architecture and practical hardware implementations, with strong applications in space technology and embedded security systems. His recent publications demonstrate increasing focus on energy-efficient implementations for space applications and quantum-resistant cryptographic systems. Analysis of his 15 most recent publications reveals a clear research trajectory toward optimizing FPGA implementations for post-quantum cryptography and space applications. His work consistently addresses the performance bottlenecks in high-level synthesis while maintaining practical applicability for industry partners like NASA, CERN, and major semiconductor companies. The recent surge in best paper awards (three in 2024 alone) reflects growing recognition of his contributions to efficient FPGA compilation techniques and cryptographic implementations. Scientific Awards: Best Paper Award at FPL 2024 Best Paper Award at HPEC 2024 Best Paper Award at ISFPGA 2020 Outstanding Short Paper Award at IEEE HPEC 2024 Outstanding TPC Member Award at DAC 2024 IEEE Senior Member (2021) Multiple Best Paper nominations (FCCM 2022, FPL 2022, HiPEAC 2022) Professor Guerrieri actively participates in international research projects including the DyReCte project (2019-2021) on dynamically reconfigurable cryptoengines for nano-satellites. He currently chairs the Onboard Computing topic for the Swiss consortium CHEESE affiliated with NASA SSERVI and collaborates extensively with industry partners including AMD-Xilinx, NVIDIA, Arm, NASA, and CERN, as well as academic institutions like ETH Zurich and University of Geneva. His current research focuses on developing next-generation EDA tools and reconfigurable computing platforms for both terrestrial and space applications. His laboratory work centers around FPGA-based prototyping and validation, with specialized facilities for space applications testing. Professor Guerrieri leads a research team that includes Andres Upegui, Quentin Berthet, Laurent Gantel, and Gabriel Da Silva Marques, focusing on practical implementations of reconfigurable architectures for security and space applications.

André N. Meyerمشاهده پروفایل

پژوهشگر

• Software Engineering
• Human-Computer Interaction
• Developer Productivity
• +۳ مورد دیگر

André N. Meyer is a Senior Researcher at the University of Zurich , affiliated with the Department of Informatics under the Faculty of Business, Economics and Informatics. He leads research in Human Aspects of Software Engineering , focusing on developer productivity , workplace wellbeing , and hybrid work environments through persuasive technologies like self-monitoring and goal-setting. PhD in Informatics (University of Zurich, 2019) Internships at Microsoft Research (Redmond, US) Visiting Researcher at University of British Columbia (Vancouver, Canada) His research spans developer productivity , hybrid team dynamics , and AI in medical diagnostics . Recent work includes FlowLabs (hybrid interruptibility tools), PersonalAnalytics (self-reflection systems), and FlowTeams (collaboration scheduling). Key article trends include task prioritization , interruptibility detection , and AI-driven medical imaging . His work on FlowLight reduced interruptions by 46% in large-scale studies. Scientific Awards CHI’17 Honorable Mention Award He supervises student projects at UZH, emphasizing bi-weekly meetings and asynchronous feedback. Grants include DSI Seed Funding, DSI Infrastructure Grants, and NRP funding for AI and hybrid work studies.

Elena Diez del Corral Aretaمشاهده پروفایل

مدرس

• Historical Linguistics
• Sociolinguistics
• Contact Linguistics
• +۱۲ مورد دیگر

Elena Diez del Corral Areta is a Lecturer (MER 1) in the Spanish Section of the Faculty of Arts at the University of Lausanne (UNIL), where she has been employed since 2013. Her academic focus lies in the teaching of Hispanic Language and Linguistics, with a strong research emphasis on historical and sociolinguistic aspects of the Spanish language. She holds a degree in Philology from the University of Valencia (2008), a Master's in Teaching Spanish as a Foreign Language from Pablo de Olavide University (Seville, 2013), and a PhD from the University of Neuchâtel (2013), where her doctoral research examined linguistic variation in colonial documents from the Audiencia de Quito. Her primary research interests include Historical Linguistics , Sociolinguistics , and Contact Linguistics , particularly the evolution of Spanish in the Americas and the interaction between Spanish and French in Switzerland. She is an active member of the international CHARTA network and co-coordinates the GRAFILA research group, dedicated to the publication and linguistic analysis of Hispanic documents in Swiss heritage collections. Her recent publications, spanning from 2024 to 2018, demonstrate a consistent focus on colonial and 19th-century Spanish, discourse markers, morphosyntactic variation, bilingualism among Colombian immigrants in French-speaking Switzerland, and the editorial challenges of historical texts. The work reveals a strong commitment to interdisciplinary research, combining philology, archival science, and sociolinguistics to reconstruct the history of the Spanish language. Active researcher in the CHARTA network Co-coordinator of the GRAFILA research group She has not received any scientific awards mentioned in the provided text, and there is no information about students she may have advised. Her work is supported by her institutional affiliation and collaborative research networks, contributing significantly to the accessibility and scholarly understanding of Spanish-language documentary heritage in Switzerland.

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

Pierrette Bouillon is affiliated with the University of Geneva as a researcher, focusing on machine translation, accessible communication, and language technology applications in healthcare. Her work bridges computational linguistics, speech processing, and inclusive design. Institution: University of Geneva Research Focus: Medical translation, sign language processing, text/pictograph translation Research Interests : Bouillon specializes in machine translation and computational linguistics , with particular emphasis on: Accessible communication for patients with language barriers Sign language and pictograph translation systems (e.g., BabelDr) Speech-to-speech translation in emergency settings Text simplification for intellectual disabilities Historical French normalization for NLP Multilingual speech recognition and post-editing Article Trends : Her recent publications highlight the integration of large language models with accessibility tools in healthcare, focusing on Swiss French sign language corpora , pictograph sequences , and spontaneous speech simplification . Work spans both NLP and human-computer interaction in medical contexts. Education and Teaching : While specific educational details are omitted, Bouillon contributes to translation pedagogy through tools like COPECO and MT3 , integrating speech technologies into post-editing workflows.

Ugo Siravoمشاهده پروفایل

مدرس

• Fusion Energy
• Plasma Physics
• Tokamak Technology
• +۳ مورد دیگر

Ugo Siravo is an ETS/HES Engineer at the Swiss Plasma Center (SPC) within EPFL's School of Basic Sciences (SB), specializing in TCV Tokamak Physics and International Installations. Concurrently, he serves as a Lecturer for the Doctoral School of Physics (EDPY-ENS), teaching “Fusion and industrial plasma technologies” under EPFL's Vice Presidency for Academic Affairs. His work bridges engineering execution and academic instruction in fusion energy systems. His research spans Fusion Energy Engineering , Plasma Physics Applications , and Tokamak Technology Development , with specialized expertise in Gyrotron Systems , Neutral Beam Injection , and Electromagnetic Compatibility . This focus drives innovations in TCV tokamak operations, particularly power supply optimization, heating system integration, and ITER-related component validation. His methodology combines experimental validation with numerical simulation to solve high-power RF engineering challenges in nuclear environments. Analysis of his 15 most recent publications (2011-2025) reveals consistent contributions to TCV tokamak engineering, with escalating focus on ITER-compliant systems. Key trends include gyrotron collector thermal management (2023), dual-frequency operation (2019-2024), and electromagnetic compatibility for fusion environments (2011, 2017, 2023). His work demonstrates progression from component testing (2011) to integrated system optimization (2022-2025), emphasizing reliability in high-stress fusion applications. As a Lecturer, Siravo contributes to EPFL's doctoral education in physics but no advising details or grant activities are documented. His professional identity remains anchored in engineering execution within the Swiss Plasma Center framework. He operates within EPFL's Swiss Plasma Center (SPC), which manages the TCV tokamak—one of the world's most flexible magnetic confinement devices. The SPC maintains critical partnerships with ITER and European fusion initiatives, positioning Siravo's work at the nexus of experimental tokamak engineering and international fusion development.

Pascal Zesigerمشاهده پروفایل

استاد

• Early language development
• Phonological processing
• Written language acquisition
• +۴ مورد دیگر

Pascal Zesiger is a Full Professor at the University of Geneva 's Faculty of Psychology and Educational Sciences. His research focuses on early language development , phonological processing , written language acquisition , and developmental language disorders . He directs the university's "baby" lab, which investigates word comprehension in infants (16 months) and phonological representation specification (12-18 months). Research interests include: • Phonology & phonological working memory • Lexical-grammatical orthography acquisition (with Prof. M.-A. Schelstraete) • Bilingualism & cognitive development • Electrophysiological correlates of reading Recent publications examine graphotactic regularities , lexical training interventions , and phonological-orthographic links . He supervises thesis students like Estelle Ardanouy and Claire Ballot, with collaborators spanning multiple institutions. Contact: Pascal.Zesiger@unige.ch

Francesco Audrinoمشاهده پروفایل

استاد

• Computational Statistics
• Financial Econometrics
• Machine Learning
• +۶ مورد دیگر

Francesco Audrino is a Professor of Statistics at the Department of Mathematics and Statistics, University of St. Gallen, affiliated with the School of Economics and Political Science (SEPS). He holds a Diploma in Mathematics from ETH Zurich (specializing in Financial and Insurance Mathematics) and a Ph.D. in Statistics/Finance from ETH Zurich, with a thesis on statistical methods for high-dimensional financial time series. Research Focus: Computational Statistics applied to Economics and Finance, Financial Econometrics, Sentiment Analysis, Volatility Estimation, and Regime-switching Models. His work emphasizes nonparametric methods (e.g., Functional Gradient Descent) and their applications in asset pricing, interest rate dynamics, and risk management. Recent projects include the SentiVol program for sentiment-driven volatility forecasting and causal machine learning analyses of post-earnings sentiment impacts. Selected Projects: Director of the SentiVol SNF Grant (2017–2020) on sentiment analysis for volatility prediction. Co-Director of the SNF Grant on Behavioral Asset Pricing (2010–2013). Leading research on cross-asset dependency structures and causal machine learning applications. Awards & Recognition: Swiss Society of Economics and Statistics Young Economist Award (2007). University of St. Gallen’s Best Researcher Award (2007). Teaching load reduction for outstanding publications (2009–2018). Teaching & Academic Service: Teaches Statistics, Financial Volatility, and Computational Statistics at bachelor’s, master’s, and Ph.D. levels. Served as Elected Member of the Board of Directors of the European Regional Section of the International Association for Statistical Computing (2016–2020). Active in academic networks like the Computational Financial Econometrics (CFE) Network. Labs & Resources: Developed the FGD Code package for nonparametric high-dimensional time series analysis, widely used in volatility and correlation modeling. Maintains real-time volatility forecasts for S&P 500 constituents via the SentiVol project.

• Multilingualism
• Intercomprehension
• Receptive Skills
• +۴ مورد دیگر

Raphael Berthelé is a Full Professor in the Department of Multilingualism and Foreign Language Teaching at the University of Fribourg's Faculty of Letters and Human Sciences. His work focuses on the complex dynamics of multilingual communication and language acquisition across different contexts and age groups. With an extensive publication record spanning over two decades, Professor Berthelé has established himself as a leading researcher in multilingual studies. His primary research interests encompass intercomprehension, receptive skills, interlinguistic influences, cognitive linguistics, variational linguistics, and folk linguistics. These interests manifest in studies examining how speakers navigate between multiple languages, how linguistic knowledge transfers across languages, and how social perceptions shape language use and policy. His work often bridges theoretical linguistics with practical applications in language education. Analysis of Professor Berthelé's recent publications reveals a strong focus on contemporary challenges in multilingual education, including the impact of digital tools on language learning, cognitive aspects of multilingual processing, and the intersection of language acquisition with neurocognitive mechanisms. His research increasingly incorporates interdisciplinary approaches, combining linguistic analysis with cognitive science, neuroscience, and educational psychology to address complex questions about multilingual competence. Professor Berthelé leads significant research initiatives, including the ongoing project 'Digital tools in L2 and L3 vocabulary acquisition. A cross-linguistic investigation' (2024-2028), which examines how digital resources impact language learning across different linguistic backgrounds. His work has secured substantial funding from the Swiss National Science Foundation and other sources, reflecting its importance to the field. His research methodology spans qualitative and quantitative approaches, with recent projects incorporating advanced techniques such as eye-tracking, keylogging, and brain imaging to investigate language processing. Professor Berthelé has also organized major academic events, including the EuroSLA 31 conference in 2022, demonstrating his leadership in the international second language acquisition community.

Bernard Delleyمشاهده پروفایل

پژوهشگر

• Density Functional Theory
• X-ray and Neutron Spectroscopies
• Semiconductor Devices
• +۴ مورد دیگر

Bernard Delley is a Senior Scientist at the Paul Scherrer Institute's Laboratory for Theoretical and Computational Physics, specializing in computational approaches to material science and spectroscopy. His research spans Density Functional Theory, X-ray spectroscopy, semiconductor devices, and multiplet theory. Dr. Delley has made significant contributions to computational physics through the development of the DMol3 code and investigations into electronic structures of complex materials. His awards include fellowship distinctions from the American Physical Society and American Association for the Advancement of Science, along with the prestigious Seymour Cray Prize in Scientific Computing. Current research explores crystal-field multiplet computations and semiconductor device modeling, with ongoing collaborations in materials characterization and spectroscopy.

• Neuroscience
• Neurochemistry
• Visual Processing
• +۵ مورد دیگر

Gregor Rainer is a Professor in the Faculty of Science and Medicine at the University of Fribourg, specializing in Humane Medicine. His research focuses on neural circuits, neurochemical signaling, and cognitive processing, particularly in relation to the basal forebrain, default mode network, and visual systems. Department: Humane Medicine Email: gregor.rainer@unifr.ch Office: PER 09 bu. 2.100 B, Ch. du Musée 5, 1700 Fribourg Research Interests: Rainer's work explores the role of GABAergic neurons in sensory modulation, thalamocortical interactions, and mechanisms of brain-machine interfaces. He investigates metabolic pathways in neurodegenerative diseases, neural coding for communication restoration, and evolutionary neuroscience using tree shrew models. Scientific Contributions: His recent publications address frequency-specific neural modulation, sleep structure conservation in mammals, and the molecular basis of neurobehavioral dysfunction. Articles span from 2025 to 2011, covering topics from cortical dynamics to neurochemical analysis techniques.

• Computer Vision
• Machine Learning
• Human Motion Modeling
• +۳ مورد دیگر

Korrawe Karunratanakul is a researcher at the Computer Vision Lab of ETH Zürich , focusing on advanced computational methods at the intersection of computer vision, machine learning, and human motion modeling. His work addresses fundamental challenges in physics-based character control, hand reconstruction, and human motion synthesis through innovative generative approaches. His research portfolio demonstrates expertise in: Applying diffusion models for controllable motion generation Developing neural representations for articulated hand reconstruction Advancing code-switching speech recognition systems Creating hybrid algorithms for peptide sequencing Recent publications highlight his specialization in physics-based animation, temporal coherence for motion sequences, and implicit modeling of complex biological structures. His interdisciplinary work spans computer science, bioinformatics, and computational linguistics.