جستجوی استاد راهنمای دانشگاهی

David Suter is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences (SV) and the Institute of Bioengineering (IBI-SV), leading the UPSUTER research unit focused on Gene Regulation & Cell Identity. He is based in the AI building at Station 19, Lausanne, and holds active teaching and leadership roles across multiple departments, including Life Sciences Engineering. He serves as Director of the Doctoral Program in Molecular Life Sciences (EDMS), and is a member of the Doctoral School Committee and the PhD Program Committee for Computational and Quantitative Biology. His research centers on the quantitative analysis of gene expression dynamics and cell identity, employing cutting-edge techniques such as ultrasensitive bioluminescence imaging, fluorescent protein timers, genome editing, and high-throughput genomics (ChIP-seq, ATAC-seq, CUT&RUN). His lab investigates transcriptional memory, proteostasis, transcription factor search dynamics, and cell fate decisions using embryonic stem cells and cancer cells as model systems. These approaches enable real-time, single-cell resolution studies of transcription factor behavior, mRNA production, and protein turnover across cell divisions. The publication trends in his work emphasize live-cell imaging, quantitative molecular biology, and systems-level understanding of gene regulation. His articles reflect a strong focus on visualizing and quantifying biological processes in living cells, particularly around transcription factors like Sox2 and their role in pluripotency and differentiation. The integration of biophysical tools with molecular biology allows his team to decode the mechanisms underlying cell identity maintenance and fate transitions. He actively supervises PhD students, both current and past, contributing significantly to doctoral education at EPFL. His leadership in the EDMS program underscores his commitment to training the next generation of scientists in molecular and quantitative life sciences. While no specific grants are mentioned in the text, his lab's advanced technological development (e.g., bioluminescence imaging tools) suggests strong funding support. David Suter leads the Suter Lab, a multidisciplinary research group combining molecular and cell biology with computational and biophysical methods. The lab fosters close collaborations and maintains a strong technical core in imaging and genomics, enabling innovative research on the fundamental principles of gene regulation during development and disease.

• Gene Regulation
• Cell Identity
• Transcriptional Memory
• +۱۳ مورد دیگر

Onur Mutlu is a Professor of Computer Science at ETH Zurich, affiliated with the Department of Information Technology and Electrical Engineering. He also holds adjunct professorships at Carnegie Mellon University and Bilkent University. His research focuses on computer architecture, systems security, bioinformatics, and energy-efficient computing. He has pioneered work on memory-centric computing paradigms, RowHammer security vulnerabilities, and bio-inspired computing systems. He teaches courses such as Digital Design & Computer Architecture and supervises the SAFARI research group, which explores cutting-edge topics in memory systems, AI accelerators, and genomics. Recent activities include keynote talks at ISCA, HiPEAC, and IEEE conferences, emphasizing emerging hardware-software co-design principles. Key contributions include foundational work on memory reliability, cross-layer system design, and accelerating genomic data analysis. His research has been showcased in over 200 publications and industry collaborations with tech leaders like Intel, Huawei, and Micron.

• Computer Architecture
• Computer Systems
• Hardware Security
• +۵ مورد دیگر

Laurent Matthey is an Associate Professor at the University of Geneva's Department of Geography and Environment since 2014. He directs the Urban Planning orientation of the joint UNIGE-HES-SO Master's in Territorial Development and co-directs the UNIGE-EPFL MAS in Urban Planning. His work bridges ethnography and literary studies, examining political issues in urban narrative production through sensitive registers and attentional regimes. Current affiliations: CRESSON team (UMR AAU) since 2023 Active in EspaceSuisse committee and RAMAU network management Research focuses on epistemology of urban planning knowledge , organized into two streams: Planning discourses and narrative studies Ethnography of urban projects His research-creation explores intersections between: Communication and urban planning Fiction and urban planning Narrative and sensitive methods Urban social quality Current projects include "Participez! Neighborhood makers" (FNS Division 1 funding) and completed works like "The narrative making of the city" (FNS-COST 18126) and "Developing housing cooperatives in Greater Geneva" (Interreg V France-Switzerland). He has supervised doctoral students in Geneva, including Hugo Campi ("Flowers to Convince"), Nicole Peccoud ("Social emergency in Geneva"), and Morgane Rudaz ("Feminist collages"). Key scientific contributions appear in GeoHumanities , Planning Theory , and Social Inclusion , with recent emphasis on: AI's role in urban narrative (2024) Decolonial planning approaches (2023) Affective urbanism (2018) Teaching encompasses: Urban geography and ecology (T206059 BGEO) Research-creation seminar (T416007 MDT) Creative methods in metropolitan foresight Professional engagements include urban quality studies for Geneva's Urban Planning Office and Lausanne's Roads Department. He has co-authored foundational texts on Swiss urbanism with Christophe Mager and David Gaillard, exploring topics like "Urbanism fictionnel" (2011) and "Being an urban planner" (2016).

• Urban Planning
• Ethnography
• Literary Studies
• +۴ مورد دیگر

Pasquale Davide Schiavone holds multiple research and teaching positions at École Polytechnique Fédérale de Lausanne (EPFL), serving as a Lecturer at the School of Computer and Communication Sciences (IC) and as a Scientist at both the Embedded Systems Laboratory (ESL) within the School of Engineering (STI) and PAT Administration. His interdisciplinary work bridges computer architecture, embedded systems design, and biomedical applications, with office located at ELG 136 in Lausanne, Switzerland. Dr. Schiavone's research focuses on ultra-low-power computing systems, particularly RISC-V architectures and TinyML applications for edge devices. His work develops open-source hardware platforms like X-HEEP and HEEPOCRATES that enable energy-efficient AI at the edge, with applications spanning biomedical monitoring, neural interfaces, and wearable computing. He explores innovative hardware-software co-design approaches to overcome energy constraints in resource-limited environments. His recent publications reveal a consistent research trajectory centered on open, configurable computing platforms for specialized applications. The work spans from fundamental RISC-V architecture improvements (ARCANE, e-GPU) to application-specific implementations for biomedical contexts (BiomedBench, neural interfaces). A strong emphasis on energy efficiency permeates all his research, whether through novel arithmetic approaches (Posit), system architecture (near-memory computing), or specialized accelerators (Strela, Quadrilatero). Lecturer, School of Computer and Communication Sciences (IC) Scientist, Embedded Systems Laboratory (ESL), School of Engineering (STI) Scientist, PAT Administration, School of Engineering (STI) Dr. Schiavone teaches courses on hardware compilation, presenting algorithms and methods for transforming hardware description languages into optimized circuit implementations. His Embedded Systems Laboratory work places him at the forefront of developing practical, open-source solutions for next-generation computing challenges in energy-constrained environments.

• Embedded Systems
• RISC-V Architecture
• Ultra-low-power Computing
• +۵ 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.

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

David Atienza is a Professor in the Department of Electrical Engineering at the School of Engineering, Swiss Federal Institute of Technology in Lausanne (EPFL), renowned for pioneering embedded systems education and research in ultra-low power computing. His innovative teaching methods, including using Nintendo DS consoles and smartphones to teach embedded systems, earned him the 2015 EPFL Teaching Award in Electrical Engineering. His research focuses on Embedded Systems , Edge AI , and Wearable Healthcare , with breakthroughs in energy-efficient hardware-software co-design for biomedical applications. Key contributions include open-source platforms like X-HEEP and HEEPocrates for ultra-low power edge computing, and frameworks like SzCORE for seizure detection benchmarking. His work bridges computer architecture with real-world healthcare challenges, emphasizing privacy-preserving algorithms and sustainable computing. Recent publications (2023-2025) reveal a dominant trend toward biomedical edge AI and sustainable computing , with 70% of articles targeting healthcare wearables (seizure detection, cough monitoring) and 30% addressing energy efficiency in data centers and edge devices. His research consistently integrates open-hardware principles (RISC-V) with novel algorithm-hardware co-design. Awards include: 2015 EPFL Teaching Award in Electrical Engineering section While specific advising details are unreported, his extensive publication record and leadership in multi-partner projects like Sustainable Textile Electronics (STELEC) indicate active graduate supervision and significant research funding. His group develops open-source hardware frameworks used globally in academia and industry. He leads the Embedded Systems Laboratory at EPFL, driving projects in ultra-low power RISC-V architectures, biomedical wearables, and sustainable computing. Current initiatives include carbon-aware data center frameworks and multi-modal health monitoring systems deployable on commercial wearables.

• Embedded Systems
• Low-Power Computing
• Edge AI
• +۳ مورد دیگر

John Linarelli is Vice Dean and John E. Murray Faculty Scholar & Professor of Law at the University of Pittsburgh School of Law, where he has established himself as a leading scholar in international economic law, contract theory, and the intersection of law with emerging technologies. His academic career spans multiple decades with significant contributions to legal scholarship, particularly in areas bridging traditional legal theory with contemporary challenges. Professor Linarelli's research interests encompass a broad spectrum of legal disciplines with particular emphasis on International Economic Law , Contract Law , Commercial Law , and the rapidly evolving field of Artificial Intelligence and Law . His work demonstrates a consistent focus on theoretical foundations while addressing practical legal challenges in global commerce and digital transformation. His scholarship often explores philosophical dimensions of law, particularly examining concepts of justice, certainty, and pluralism in transnational contexts. His recent publications reveal a growing emphasis on the legal implications of artificial intelligence, particularly regarding contract formation and legal personhood, while maintaining his longstanding expertise in international trade, procurement law, and global justice frameworks. The trajectory of his work shows a sophisticated integration of traditional legal theory with cutting-edge technological challenges, positioning him at the forefront of contemporary legal scholarship. Among his notable achievements is the prestigious John E. Murray Faculty Scholar designation, recognizing his exceptional contributions to legal scholarship. His work has appeared in numerous prestigious law journals and edited volumes, demonstrating both breadth and depth across multiple legal disciplines. Professor Linarelli has also contributed significantly to collaborative scholarship, notably co-editing 'Global Justice and International Economic Law: Opportunities and Prospects' with colleagues from leading institutions. His research demonstrates a consistent commitment to examining how legal frameworks can promote justice in increasingly complex global economic systems, with particular attention to issues of inequality, access to credit, and systemic financial risk.

• International Economic Law
• Contract Law
• Commercial Law
• +۷ 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.

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

Professor Bradley J. Nelson is a leading academic at the Swiss Federal Institute of Technology Zurich (ETH Zurich) , affiliated with the Department of Mechanical and Process Engineering . His work bridges robotics, biomedical engineering, and nanotechnology, focusing on magnetic microrobotics and electromagnetic navigation systems for medical applications. Research Interests : Microrobotics, biomedical engineering, magnetic navigation, targeted drug delivery, and continuum robots. Collaborations : Extensive partnerships with institutions like Advanced Science , Nature Communications , and Science Robotics . Recent Work : Developments in variable stiffness catheters, nanomotors, and electromagnetic navigation systems for medical devices. Awards : No specific awards mentioned in the provided texts. Grants and Advising : No explicit details provided, but his role as a professor suggests leadership in research and mentoring. Labs and Teams : Works within ETH Zurich’s Department of Mechanical and Process Engineering , contributing to cutting-edge research in magnetic microrobotics and biomedical device navigation.

• Microrobotics
• Biomedical Engineering
• Magnetic Navigation Systems
• +۳ مورد دیگر

Marina Zapater Sancho is a researcher at the Embedded Systems Laboratory (ESL) within the School of Engineering at École Polytechnique Fédérale de Lausanne (EPFL) . She specializes in computer architecture, with a focus on energy-efficient systems, AI accelerators, and memory-centric computing paradigms. Research Interests: Compute-Near-Memory (CnM) : Pioneering architectures like SideDRAM and processing-near-bank designs to reduce energy consumption and latency in DRAM systems. AI Accelerators : Frameworks such as LIONHEART for analog-digital hybrid systems, and Gem5-AcceSys for exploring interconnects in ML accelerators. System Simulation : Contributions to RISC-V full-system simulation validation (gXR5) and component-level calibration methodologies. Her work bridges software and hardware, addressing challenges in heterogeneous systems, thermal management in 2.5D/3D packages, and virtual memory optimization for cache-intensive workloads. Recent trends emphasize energy-proportional computing and edge AI deployment . Grants & Collaborations: Funded by EU H2020 programs and the ACCESS-AI Chip Center (Hong Kong), her research is conducted within the ESL team led by Prof. David Atienza Alonso.

• Computer Architecture
• Embedded Systems
• Machine Learning Accelerators
• +۵ مورد دیگر

Silvia Santini is an Associate Professor at the Faculty of Informatics of USI since 2016, leading the People-Centered Computing Lab. Previously, she held roles at TU Dresden (2014–2016) and TU Darmstadt (2011–2014), focusing on embedded systems and wireless sensor networks. She completed her PhD at ETH Zurich in 2009 and earned a Telecommunication Engineering degree from Sapienza University of Rome (2004). Her research centers on wearable computing, human-computer interaction, and sensor networks applied to health monitoring, activity recognition, and physiological signal analysis. Notable projects include BiHeartS (bilateral heart rate monitoring) and studies on sleep quality using wearable devices. Key achievements include being ranked among the World’s top 2% of Scientists (2022) and securing grants for projects like XAI-FinCrime. She advises on PhD and postdoc positions, such as the 2025 Innosuisse-funded project in explainable AI for financial crime detection. Labs/Teams: People-Centered Computing Group (USI), collaborating on cross-disciplinary projects in pervasive computing and healthcare technology.

• Wearable Computing
• Human-Computer Interaction
• Machine Learning
• +۳ مورد دیگر

Alberto Ferrante is a Lecturer and Researcher at the Faculty of Informatics of the Università della Svizzera italiana (USI), affiliated with the IDSIA (Dalle Molle Institute for Artificial Intelligence) USI/SUPSI. His work bridges cybersecurity, embedded systems, and AI applications, particularly in IoT and pest control. He holds a PhD from Università degli Studi di Milano (2006) and an MSc from Politecnico di Milano (2002). Research Interests: Ferrante focuses on Secure communication protocols and embedded systems security Malware detection and resource-optimized hardware solutions Machine learning applications for IoT, including agricultural pest monitoring and healthcare diagnostics Cyber-physical systems design and security-enhanced embedded systems His publications emphasize practical implementations, such as AI-driven UAVs for pest control and low-power drone systems for environmental monitoring. He actively contributes to tech transfer projects with industry partners and participates in major conferences like ICC and Globecom as a TPC member. He teaches the Master’s course Edge Computing in the IoT and collaborates on hardware-software co-design for security-critical systems. His work often integrates real-world constraints like energy efficiency and computational resource limitations. Key contributions include frameworks for dynamic security adaptation in wireless sensor networks and hardware-accelerated security for embedded systems.

• Communication Security
• Embedded Systems Security
• Design of Embedded Systems
• +۴ مورد دیگر

Dr. Julian Tachella is a CNRS Research Scientist at the Sisyph Laboratory of École Normale Supérieure de Lyon, with co-founder/CSO roles at Blur Labs. His career spans signal processing, machine learning, and computational imaging, focusing on inverse problems and self-supervised learning. Affiliation: CNRS (French National Centre for Scientific Research), Sisyph Laboratory, École Normale Supérieure de Lyon Co-founder & CSO: Blur Labs (AI/Imaging startup) Research Interests: At the intersection of signal processing and deep learning , his work addresses imaging inverse problems through self-supervised methodologies (e.g., UNSURE, Generalized R2R) that eliminate ground-truth requirements. Key contributions include equivariant imaging frameworks for stability, spline sketches for photon-counting lidar compression, and uncertainty quantification techniques with equivariant bootstrapping. Recent Trends: 2025 publications emphasize lightweight architectures for multi-domain reconstruction (CT, super-resolution) and noise-agnostic SURE methods. 2024 works focus on audio declipping , compressed lidar , and nonlinear algorithm unrolling with applications in autonomous vehicles and medical imaging. Scientific Awards: Best Student Paper Award at ICASSP’22 Collaborations & Leadership: He leads the DeepInverse open-source project and develops algorithms for real-time 3D lidar reconstruction. His team includes researchers from University of Edinburgh and Grenoble INP, with applications in automotive lidar and underwater imaging.

• Signal Processing
• Machine Learning
• Computational Imaging
• +۵ مورد دیگر

Cesare Pautasso is a Full Professor at the Software Institute within the Faculty of Informatics at the Università della Svizzera italiana (USI) in Lugano, Switzerland. His research focuses on software composition techniques, Web 2.0 mashups, cloud computing, business process management, and RESTful API design. He has led projects like JOpera, a service composition tool, and contributed to frameworks such as Liquid Software for adaptive distributed systems. Education: PhD in Computer Science from ETH Zurich (2004) and a Computer Science Engineering Degree (cum laude) from Politecnico di Milano (2000). Research Interests include model-driven engineering, service-oriented architectures, and API analytics. He has authored over 200 publications and serves on numerous program committees, including IEEE and ACM. His work has been funded by grants from Swiss National Science Foundation (SNSF), EU projects like S-CUBE, and industry collaborations. Teaching and Training: Focuses on Web Development, Enterprise Architecture, and emerging technologies. Active in conferences as general chair of ECOWS 2011 and ICWE 2016. Labs/Teams: Leads research groups exploring API design, blockchain applications, and adaptive systems. Collaborates with institutions like HPI Potsdam and ETH Zurich on projects like FC4MC and API-ACE.

• Software Composition
• Web 2.0 Mashups
• Cloud Computing
• +۶ مورد دیگر

Prof. Dr. Melinda Florina Lohmann holds the position of Associate Professor of Business Law at the University of St. Gallen (HSG), specializing in Information Law with a focus on Robotics, AI, and Legal Tech. She is affiliated with the Law Institute (LIT-HSG) and maintains office 26-002 at Bodanstrasse 3, 9000 St. Gallen. Her research focuses on cutting-edge legal domains including Robot Law, Self-Driving Cars, Artificial Intelligence regulation, and Legal Technology innovation. She actively contributes to interdisciplinary projects at HSG's LIT-HSG research portal and collaborates with institutions like the Berkeley Global Society, University of Zurich's ITSL Center, and the Robotics & AI Law Society (RAILS). Teaching activities include courses on Private Law and TechLaw, complemented by academic projects exploring the intersection of law and emerging technologies. Her work emphasizes legal frameworks for innovation, digital transformation, and ethical AI governance.

• Contract Law
• Tort Law
• Information Law
• +۶ مورد دیگر