جستجوی استاد راهنمای دانشگاهی

Serge Ferrari is Full Professor at the University of Geneva's Faculty of Medicine , where he serves as Vice-Dean for Translational Research and Development. He concurrently heads the Division of Bone Diseases at Geneva University Hospitals (HUG) and directs the Bone Diseases Research Laboratory. His academic trajectory includes an MD from Geneva (1991), internal medicine specialization (1997), a research fellowship at Harvard Medical School (1997-2001), and progressive appointments culminating in his full professorship in 2014. From 2019-2023, he was Academic Director of the Department of Medicine. His research explores biological mechanisms of bone remodeling and therapeutic targets for bone fragility , with continuous SNSF funding for over 20 years. Primary interests include osteoporosis pathophysiology, genetic determinants of bone strength, and translational applications in metabolic bone diseases. Current work emphasizes diabetes-related skeletal fragility and optimization of anti-osteoporosis drug sequences. Analysis of 15 recent publications (2025-2024) reveals dominant themes: osteoporosis pharmacotherapy (romosozumab, denosumab), fracture risk modeling , diabetic bone disease , and treatment guidelines . Articles frequently utilize advanced metrics like trabecular bone score (TBS) and 3D bone modeling, reflecting methodological innovation in assessing skeletal health. Scientific Awards: SNSF Professorship (2001) He leads the Bone Diseases Research Laboratory and Osteoporosis Genetics Research Group , fostering collaborations across translational research pipelines. As Vice-Chairman of the International Osteoporosis Foundation Scientific Council (2016-2024) and former President of the Swiss Osteoporosis Association, he shapes global osteoporosis management strategies. His editorial leadership includes former roles at BoneKey and BoneKey Reports .

• Osteoporosis
• Bone Remodeling
• Bone Fragility
• +۲ مورد دیگر

Qi Tang is a Research Fellow in the Department of Environmental Science at the University of Basel and concurrently serves as Coordinator of the Swiss Water Earth Systems PhD School at the University of Neuchâtel. His expertise spans hydrogeology, data assimilation, and Earth system modeling. He holds a PhD in Hydrogeology from RWTH Aachen University (2017) and has held postdoctoral positions at institutions including the Alfred Wegener Institute (Germany), the University of Basel, and the Chinese Academy of Sciences. Education: PhD in Hydrogeology, RWTH Aachen University, Germany (2012–2017) MSc in Hydrology and Water Resources, Beijing Normal University (2009–2012) BSc in Applied Mathematics, China Agriculture University (2005–2009) Research Interests: Qi Tang focuses on advancing coupled Earth system models through data assimilation techniques. His work integrates hydrological, oceanographic, and climatic processes to improve predictive accuracy. Key areas include river-aquifer interaction dynamics, satellite data integration in ocean-atmosphere models, and cloud computing for real-time water resource management. His research bridges theoretical modeling with practical applications in environmental monitoring and climate prediction. Publications: His articles emphasize data-driven approaches to environmental systems. Recent work highlights coupled model improvements using satellite data (e.g., ocean-atmosphere interactions), ensemble Kalman filtering for flood simulations, and Bayesian networks for precipitation modeling. These studies underscore his expertise in both computational methods and field applications. Advising & Grants: While no formal advisees are listed, his postdoctoral roles suggest involvement in mentoring junior researchers. No specific grants are mentioned in the provided texts. Labs/Teams: Affiliated with the Hydrogeological Processes group at the Center for Hydrogeology and Geothermal Energy (CHYN), University of Neuchâtel. This group specializes in geothermal energy, hydrochemistry, and stochastic hydrogeology.

• Hydrogeology
• Data Assimilation
• Earth System Modeling
• +۳ مورد دیگر

Stefana Parascho serves as Tenure Track Assistant Professor at the Swiss Federal Institute of Technology in Lausanne (EPFL) within the School of Architecture, Civil and Environmental Engineering (ENAC), specifically in the Institute of Architecture (IA). She leads the Laboratory for Creative Computation (CRCL) and concurrently heads the Diversity Office at ENAC, demonstrating dual commitments to technological innovation and institutional equity. Her research pioneers intersections of digital fabrication, robotics, and sustainable architecture, with particular focus on transforming construction waste into valuable resources. Through computational design and robotic assembly, she develops novel methodologies for upcycling concrete rubble and timber into structurally sound building components, directly addressing circular economy challenges in construction. Her work bridges theoretical frameworks with physical prototyping, emphasizing human-robot collaboration and material reintegration. Analysis of her recent publications reveals a cohesive trajectory toward waste valorization through digital processes, with concrete rubble masonry and timber reuse forming the core technical pillars. These investigations consistently integrate robotic fabrication, structural validation, and circular design principles across 15+ publications since 2023, establishing new paradigms for resource-efficient construction. As an academic advisor, she supervises four PhD candidates (Grangeot Maxence, Skevaki Eleni Maria, Vallat Gabriel Rémi, Wang Jingwen) while contributing to architectural education through courses like "Digital design and making: A critical introduction" that merge technical skill development with theoretical critique. Her leadership extends to the ENAC Teaching Committee and institutional diversity initiatives, reflecting comprehensive engagement with academic community development. Her operational base at CRCL (https://crcl.epfl.ch) provides the technical infrastructure for robotic experimentation, while her Diversity Office role (https://www.epfl.ch/schools/enac/about/diversity-office/) demonstrates parallel commitment to inclusive academic environments. This dual focus positions her at the forefront of both technological innovation and cultural transformation within architectural academia.

• Digital Fabrication
• Robotic Construction
• Sustainable Architecture
• +۳ مورد دیگر

Prof. Dr. Christian Brauner serves as a Professor and Group Leader of the Structural Mechanics group (Lightweight Construction and Fiber Composite Technologies) at the Institute of Polymer Technology within the School of Engineering and the Environment at the University of Applied Sciences Northwestern Switzerland (FHNW). He has held this position since 2017 and concurrently serves as Chairman of the Board of Composite United Switzerland since 2018. His educational background includes a Diploma in Mechanical Engineering (Dipl.-Ing. FH) from Bielefeld University of Applied Sciences (1991-2005) and a Master’s degree (M.Sc.) in “Computer Aided Mechanical Engineering” from FH Flensburg (2006-2008). He completed his doctorate at the University of Bremen on numerical methods for manufacturing process modeling. Prof. Brauner's research focuses on fiber composite design methods, manufacturing simulation (draping, infusion, curing, warping), multiphysical modeling, and material development. He specializes in Production 4.0 integration—virtually mapping manufacturing processes with online monitoring systems. Current projects include infrared curing of thermoset composites, ultrasonic welding techniques, fatigue testing of dynamically loaded components, and high-temperature aerospace composites. His work spans automotive, marine, medical devices, and footwear applications, demonstrating cross-industry relevance of composite technologies. He leads multiple research initiatives including the EU project on high-temperature aviation composites, SuCoHS (sustainable composites), and Filapodo (patient-specific orthopedic filaments). As initiator of the NTN Innovation Booster Plastics for Zero Emission (since 2022), he drives sustainability in plastics engineering while teaching advanced composites courses across FHNW’s academic programs. Prof. Brauner heads the Structural Mechanics group at FHNW’s Institute of Polymer Technology, leveraging experience from building an eight-person department at Bremen’s Fiber Institute where he developed simulation methods to replace empirical industrial practices with knowledge-based manufacturing planning.

• Fiber Composites
• Lightweight Construction
• Manufacturing Simulation
• +۳ مورد دیگر

Dr. Peter Wolf is a Lecturer at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich. His research focuses on robot-aided motor learning and sports engineering, particularly exploring concurrent feedback strategies for efficient motor task learning and applications in rowing and climbing. He advises students in the Medical Technology and Human Movement Science & Sport majors, emphasizing interdisciplinary approaches combining biomechanics, mechatronics, and coding. His research group develops tools to support athletes and rehabilitation patients, with a focus on exosuits, exoskeletons, and robotic feedback systems. Notable projects include optimizing gait parameters for adolescents with crouch gait and enhancing wearable robotic systems for daily mobility support. Dr. Wolf also contributes to curriculum design, recommending courses like Biomedical Engineering, Neural Control of Movement, and Machine Learning for Healthcare. His work bridges biomechanical analysis, robotics, and clinical applications, with recent innovations in vestibular stimulation for sleep disorders and thermal stress monitoring for occupational workers. Collaborations span sports science, rehabilitation engineering, and human-robot interaction, reflecting his commitment to applied and interdisciplinary research.

• Robot-aided motor learning
• Sports engineering
• Biomechanics
• +۳ مورد دیگر

Matthias Stürmer serves as a Professor at Bern University of Applied Sciences (BFH) within the School of Management and Head of the Institute for Public Sector Transformation (IPST). He concurrently holds a lecturer position at the University of Bern. His professional identity centers on Swiss digital governance initiatives, with active leadership roles in @Parldigi, @DigitalImpactCH, @CH_Open, and @OpendataCH advocating for open source, open data, and transparent public sector innovation. His research program bridges legal technology and digital governance, specializing in multilingual (German/French/Italian) processing of Swiss jurisprudence. Core focus areas include developing AI systems for judicial summarization and criticality prediction, advancing digital sovereignty frameworks, and analyzing sustainable public procurement practices. He investigates the tension between open justice principles and privacy preservation in court documentation, while pioneering methods for anonymizing legal texts against re-identification threats from large language models. Stürmer's publication trajectory reveals a strategic shift toward legal AI applications since 2020, with 12 of his 15 most recent works addressing multilingual legal processing challenges. His scholarship consistently targets Swiss institutional contexts, creating specialized datasets like Multilegalpile and Lextreme while examining practical implementation barriers for open source adoption in public administration. As director of IPST at BFH, he leads institutional efforts to transform public sector services through open standards and collaborative governance models. His team develops practical frameworks for digital sovereignty implementation and sustainable ICT procurement, directly influencing Swiss federal policies on open data and public sector technology adoption.

• Open Source Software
• Open Data
• Digital Sovereignty
• +۵ مورد دیگر

Ioannis Akkizidis is a Lecturer at the University of Zurich's Department of Finance since 2009. He concurrently serves as Global Product Manager at Wolters Kluwer Financial Services (since 2006) and as Boardmember & Chapter Lead in Regulatory Development at the Swiss Risk Association (since 2013). His work bridges academic research and industry applications in risk management systems. Education: PhD in Applied Mathematics, University of Wales MSc in Control Technology, University of Portsmouth BEng in Electronic & Computer Engineering, University of Athens His research focuses on designing advanced solutions for risk management and profitability analysis in financial institutions, with emphasis on Marketplace Lending, New Financial Regulations, Operational Risk, Artificial Intelligence, and Blockchain technology. He has authored influential books such as Basel IV Modelling and Marketplace Lending, Financial Analysis , both accompanied by freeware risk analysis tools. His book chapters on Solvency II and systemic risk analysis are cited in IMF and GARP materials. Publications include six financial magazine articles analyzing credit ratings, liquidity risk, and regulatory challenges. His academic contributions are integrated into the University of Zurich's Risk Lab course since 2009. No grants or formal advisees are listed, though his teaching includes the Risk and Finance Lab course (V-Nr 3603, Spring 2023). He is affiliated with the Risk Lab initiative and contributes to interdisciplinary teams through his work on financial regulations and technology applications.

• Financial Risk Management
• Banking Regulations (Basel IV, Solvency II)
• Marketplace Lending
• +۳ مورد دیگر

Christian Pipal is a Senior Research and Teaching Associate and External Lecturer at the Department of Communication and Media Research, University of Zurich, Switzerland. He concurrently holds a Ph.D. researcher position at the Department of Political Science, University of Amsterdam (since 2019), and has served as a Visiting Researcher at the University of Vienna (2020-2021) and a Research Associate at NEOS Lab (2018-2019). His academic journey includes a B.A. in International Development Studies (University of Vienna, 2013) and an M.A. in European Union and Russia Studies (University of Tartu, 2015). Pipal’s research focuses on digital political communication, elite behavior, and computational methods, with particular emphasis on text analysis, sentiment modeling, and multimodal data integration. His Ph.D. thesis, funded by the Horizon 2020 POLEMIC project, examines “The Emotional Rhetoric of Political Elites” , supervised by Gijs Schumacher, Mariken van der Velden, and Bert Bakker. Pipal’s work bridges political psychology, computational social science, and digital media studies, with contributions to datasets like EUSpeech V2 and methodological frameworks such as the MEXCA emotion pipeline. Pipal’s articles address challenges in computational text analysis, political tone dynamics, and social media engagement. His research agenda emphasizes overcoming gaps in validation practices, cross-lingual analysis, and methodological transparency. He has also explored TikTok’s role in political communication, NATO framing in the Ukraine conflict, and multiverse approaches to news-sharing behavior. His grants include the Horizon 2020 POLEMIC funding and collaborative projects at the NEOS Lab. Pipal actively contributes to labs like the Computational Communication Lab (University of Vienna) and co-develops tools for emotion expression analysis. His work intersects with interdisciplinary teams in political science, computer science, and behavioral psychology.

• Digital political communication
• Elite behavior
• Computational social science methods

Patrick Eugster is a full professor at the Università della Svizzera italiana (USI) and leads the Software Systems (SWYSTEMS) group within the Computer Systems Institute . He has held academic positions at Purdue University, TU Darmstadt, and MIT as a visiting faculty. His research focuses on distributed software systems , addressing challenges in consistency, efficiency, and security in decentralized environments. Current affiliation: USI Faculty of Informatics Prior affiliations: Purdue University (2005-2016), TU Darmstadt (2014-2017), MIT (2012/2013) Research Interests Distributed Systems : Investigating reliable failure detection, deterministic data paths for 6G, and hybrid synchronous/asynchronous architectures. Network Innovation : Optimizing TCAM encoding, analyzing microbursts, and developing quantum network protocols. Security & Verification : Creating confidentiality-preserving mechanisms and formal verification approaches for distributed software. Scientific Contributions 2025: Best paper at TACAS on Horn clause validation 2025: IFIP Jean-Claude Laprie Award for dependable computing 2024: Key papers at IEEE Network, ACM PLDI, and IEEE INFOCOM Funding & Collaborations Swiss National Science Foundation grants #200021_197353 and #200021_192121 EU Horizon Europe MSCA staff exchange project CloudStars Industry partners: Cisco, Amazon AWS, Facebook Research, SAP, Northrop Grumman Cybersecurity Research Consortium Labs & Teams Directs the SWYSTEMS group, which includes postdocs like Sina Darabi and Shamiek Mangipudi, PhD students such as Anita Buckley and Jérôme Graf, and alumni who have become faculty at institutions like Télécom Paris and University of Southern California.

• Distributed Software Systems
• Network Function Virtualization
• Formal Verification
• +۳ مورد دیگر

Duccio Testa is a Researcher at the Swiss Plasma Center (SPC) within the School of Basic Sciences at École Polytechnique Fédérale de Lausanne (EPFL). He holds concurrent Lecturer positions in the School of Engineering (SB-SPH) and the School of Humanities and Social Sciences (CDH-SHS). His career spans plasma physics for nuclear fusion, mathematical modeling of complex systems, and archaeology of the Roman and pre-Roman eras. Education : High School Diploma from Liceo Classico Vincenzo Gioberti (1988); Bachelor/Master in Physics from Universita di Torino (1994); Ph.D. in Plasma Physics from Imperial College London (1998); Post-Doc at MIT (2002-2007). His research focuses on plasma diagnostics and magnetic sensor development for tokamaks like JET, TCV, and ITER. He pioneered LTCC sensors and real-time MHD instability detection algorithms (e.g., SparSpec). His work bridges fusion engineering and archaeology , with publications on Etruscan civilization and Pharaonic trade routes. Recent articles highlight advancements in photolithography-based magnetic sensors for DTT and DEMO, high-frequency diagnostics across tokamaks, and fast ion transport modeling . He has received European Community Research Training Grant , Ph.D. Fellowship , and Post-Doc Fellowship . Scientific Awards European Community Research Training Grant (1995) Ph.D. Fellowship (Imperial College London, 1995-1998) Post-Doc Fellowship (MIT, 1998-2007) Testa has mentored numerous Ph.D. students (e.g., Theodoros Panis, Christian Schlatter) and post-doctoral researchers , while contributing to MOOC courses and tutorials on plasma physics. His leadership in international collaborations (EPFL, MIT, UKAEA) underscores his role in fusion technology and diagnostic systems .

• Plasma Physics
• Nuclear Fusion
• Mathematical Modeling
• +۴ مورد دیگر

Adrian Wolfgang Dobbelstein is a Doctoral Assistant at the Laboratory of Protein Design & Immunoengineering (LPDI) at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI) and the Institute of Bioengineering (IBI-STI). He is concurrently a doctoral student in the Computational and Quantitative Biology program (EDCB) under EPFL’s Doctoral School (EDOC). His academic work centers on interdisciplinary research at the intersection of protein engineering, immunology, and computational modeling. Given his enrollment in a quantitative biology program and his role in a protein design laboratory, his research likely involves the development of engineered proteins for therapeutic or diagnostic applications using computational and systems-level approaches. While no publications are listed in the provided text, his work is aligned with cutting-edge bioengineering and immunoengineering domains, contributing to advancements in synthetic biology and molecular therapeutics. Email: adrian.dobbelstein@epfl.ch Phone: +41 21 693 38 07 Office: AAB 0 41 Adrian is actively contributing to research at EPFL and is not listed as part-time, retired, or former staff. There is no mention of awards, supervised students, or grants in the available information.

• Protein Design
• Immunoengineering
• Computational Biology
• +۵ مورد دیگر

Ali Hajiabadi is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. His research focuses on computer security, hardware/software co-design, and speculative execution vulnerabilities. Research Areas Computer Security Hardware/Software Co-design Speculative Execution Side-channel Attacks Transient Execution Attacks Processor Architecture Recent publications emphasize hardware/software co-design for security, speculative execution mitigation techniques, and side-channel attack analysis. Key contributions include frameworks like PARADISE for power attack resistance and tools like Cassandra for cryptographic program security. His work spans transient execution primitives, cache-based vulnerabilities, and GPU architecture optimization.

• Computer Security
• Hardware/Software Co-design
• Speculative Execution
• +۳ مورد دیگر

Fernando Pedone is a Full Professor at the Faculty of Informatics, Università della Svizzera italiana (USI), leading the Computer Systems Institute (SYS). He holds a Ph.D. in Computer Science from EPFL (1999). His research focuses on dependable distributed systems, distributed algorithms, and fault-tolerant data management. Pedone has authored over 70 papers and co-edited 'Replication: Theory and Practice.' Roles: Full Professor, SYS Director Affiliations: USI, Swiss National Science Foundation (SNSF), Interchain Foundation Teaching: Distributed Algorithms, Distributed Systems, Operating Systems Research interests span atomic multicast protocols, state machine replication, blockchain synchronization, and consensus algorithms. His work bridges theoretical foundations with practical implementations, emphasizing scalability and fault tolerance. Pedone's projects are sponsored by entities like SNSF, CTI, and Microsoft Research. Notable contributions include 'Heron' (shared-memory state replication), 'PrimCast' (atomic multicast), and studies on blockchain state synchronization. His lab oversees over 20 PhD students, with alumni holding roles in academia and industry. Grants and collaborations include partnerships with the Hasler Foundation, European Commission, and Western Digital Research. Pedone actively participates in conferences like Middleware, DSN, and EuroSys.

• Dependable Distributed Systems
• Distributed Algorithms
• Distributed Data Management Systems
• +۶ مورد دیگر

Giuseppe Schiavone serves as a Researcher holding the Foundation Bertarelli Chair in Neuroprosthetic Technology at the Laboratory for Sensory Processing (LSBI) within the School of Engineering at École Polytechnique Fédérale de Lausanne (EPFL). He concurrently holds Lecturer positions in the School of Life Sciences and the Doctoral Program for Engineering Education, demonstrating cross-disciplinary engagement across EPFL's academic structure. His research centers on neuroprosthetic technology and sensory processing , with emphasis on developing neural interfaces to restore sensory functions. His work bridges engineering and neuroscience through investigations into brain-computer interfaces and neural signal decoding , aiming to create therapeutic devices for sensory restoration. This interdisciplinary approach integrates computational modeling with experimental neuroscience. Dr. Schiavone operates within EPFL's Laboratory for Sensory Processing, a specialized research unit focused on understanding neural mechanisms of sensory perception and translating findings into neuroprosthetic applications. The laboratory collaborates with clinical partners to advance neural engineering solutions for neurological impairments, situated within EPFL's Institute of Neurosciences framework.

• Neuroprosthetics
• Sensory Processing
• Brain-Computer Interfaces
• +۳ مورد دیگر

Masashi Sugiyama is a Professor at the Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo, where he has been serving since 2014. He concurrently serves as the Director of the RIKEN Center for Advanced Intelligence Project (AIP) since 2016, leading research groups focused on fundamental AI technologies, AI applications, and social issues of AI. His academic journey began at Tokyo Institute of Technology, where he earned his Bachelor, Master, and Doctor of Engineering degrees in Computer Science in 1997, 1999, and 2001 respectively, before becoming an Assistant Professor and later Associate Professor at the same institution. Sugiyama's research primarily focuses on statistical machine learning, with particular expertise in weakly supervised learning, learning from noisy supervision, and learning under distribution shift. His work has established important theoretical frameworks for density ratio estimation, covariate shift adaptation, and non-stationary environments. He has developed numerous practical algorithms including KLIEP (Kullback-Leibler importance estimation procedure), uLSIF (unconstrained least-squares importance fitting), and LSDD (least-squares density difference), which have become standard tools in the machine learning community. Analysis of his recent publications reveals a strong emphasis on reliable and robust machine learning techniques that can handle imperfect supervision and data distribution changes. His work spans theoretical foundations, algorithm development, and practical applications across various domains including bioinformatics, anomaly detection, and dimensionality reduction. The recurring themes in his research include direct density ratio estimation methods, importance weighting techniques, and mutual information-based approaches for various machine learning tasks. Award for Science and Technology from the Japanese Minister of Education, Culture, Sports, Science and Technology (2022) Japan Academy Medal (2017) Japan Society for the Promotion of Science Award (2017) Faculty Award from IBM (2007) Nagao Special Researcher Award from the Information Processing Society of Japan (2011) Young Scientists' Prize for the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology Japan (2014) Sugiyama has served as program co-chair for major machine learning conferences including NeurIPS 2015, AISTATS 2019, and ACML 2010 and 2020. He has received prestigious fellowships including the Alexander von Humboldt Foundation Research Fellowship (2003-2004) and the European Commission Program Erasmus Mundus Scholarship (2006). He is the (co-)author of influential machine learning monographs including Machine Learning in Non-Stationary Environments (MIT Press, 2012), Density Ratio Estimation in Machine Learning (Cambridge University Press, 2012), Statistical Reinforcement Learning (Chapman & Hall, 2015), and Machine Learning from Weak Supervision (MIT Press, 2022). At RIKEN AIP, Sugiyama leads research initiatives focused on developing robust AI systems that can operate reliably in real-world conditions with imperfect data. His laboratory maintains an active software development effort, providing open-source implementations of many of his research contributions, which has significantly influenced both academic research and practical applications of machine learning.

• statistical machine learning
• weakly supervised learning
• learning from noisy supervision
• +۶ مورد دیگر