جست‌وجوی استاد و پژوهشگر

Robert Souléمشاهده پروفایل

دانشیار

• Distributed Systems
• Networking
• Programming Languages
• +۴ مورد دیگر

Robert Soulé is an Associate Professor in the Departments of Computer Science and Electrical Engineering at Yale University, and holds an Adjunct Professor position at the Università della Svizzera italiana (USI) in Lugano, Switzerland. His research focuses on distributed systems, networking, and applied programming languages, with notable contributions to in-network computing, consensus protocols, and energy-efficient systems. He received his B.A. from Brown University and his Ph.D. from New York University, followed by postdoctoral work at Cornell University. Education: B.A. in Computer Science, Brown University, 1999 Ph.D. in Computer Science, New York University, 2012 Research Interests: Dr. Soulé’s work spans distributed systems, networking, and programming languages, emphasizing practical systems such as in-network computing, consensus algorithms (e.g., NetPaxos), and carbon-aware networking. His research bridges theory and practice, addressing challenges in scalability, performance, and sustainability. Articles Trends: Recent work includes innovations in quantum networks (algebraic specifications), carbon-aware networking (energy efficiency), and system optimization (e.g., P4-based data plane verification). He explores network programmability, microservices acceleration, and zero-copy serialization techniques. Awards: Best Paper Awards at ACM DEBS 2012, NSDI 2018, and CoNEXT 2020 Google Faculty Research Award IBM Invention Plateau Award Advising and Grants: He has advised numerous PhD students and postdocs, including Pietro Bressana (Intel Corporation) and Theo Jepsen (Stanford Postdoc). His grants support projects in networked systems, distributed computing, and sustainable infrastructure. Labs/Teams: Active in Yale’s Systems Research group, collaborating on projects like NetChain (sub-RTT coordination) and P4-based systems (e.g., P4xos for consensus). Engages with industry through partnerships on microservices optimization and energy-efficient networking.

Andreas Heinمشاهده پروفایل

استادیار

• Digital Services
• AI Literacy
• Conversational Agents
• +۵ مورد دیگر

Andreas Hein is an Assistant Professor of IT Management at the University of St. Gallen's Institute of Information Systems and Digital Business (IWI-HSG). His research focuses on digital services, AI literacy, conversational agents, and ethical design in education and business contexts. He holds a PhD (summa cum laude) from the University of Kassel and has led projects funded by SNSF and Innosuisse. Hein is an AIS Distinguished Member Cum Laude and has received numerous awards for research and academic service, including the AIS Best Conference Paper Award (2024) and Best Paper Awards at DESRIST (2023) and HICSS (2020). His work bridges design science and interdisciplinary collaboration, addressing topics like privacy nudges, gamification in learning, and lawful technology development. Hein actively contributes to academic communities, serving as associate editor for ECIS, ICIS, and AOM divisions, and has organized conferences like the Wirtschaftsinformatik-Nachwuchs-Treffen 2023. His teaching spans undergraduate to graduate levels, emphasizing data-driven service innovation and research practices. Hein's research has been published in top journals (ISR, JAIS, EJIS) and frequently recognized for innovation and impact. Education: PhD in Business Information Systems (Kassel University, 2018), Master of Arts in Communication Management, Diplom in Economic Sciences (Kassel University). Key Achievements: Over €2.2m in third-party funding, 60+ co-authors, and impactful contributions to digital education and AI ethics. His work on privacy nudges and conversational agents has been featured in leading conferences and journals.

Kaspar Riesenمشاهده پروفایل

پژوهشگر

• Pattern Recognition
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

PD Dr. Kaspar Riesen is the Head of the Pattern Recognition Group at the Institute of Computer Science, University of Bern. His research focuses on graph-based methods for pattern recognition, with applications in document analysis, environmental modeling, and healthcare. Key interests include graph matching, neural networks, and spatio-temporal modeling. His work spans structural pattern recognition, graph embeddings, and keyword spotting in historical documents. Recent projects involve river network analysis using graph regression and hypoglycemia prediction via LSTM-GNN hybrid models. Publications emphasize graph theory advancements, such as normalized graph compression and geometric similarity learning. Collaborations include developing specialized algorithms for automated error detection and improving decision-making in simulated sports. Labs/Teams: Pattern Recognition Group (PRG) at the University of Bern.

Miriam A. Locherمشاهده پروفایل

استاد

• Interpersonal Pragmatics
• Linguistic Politeness
• Relational Work
• +۷ مورد دیگر

Prof. Dr. Miriam A. Locher is a Professor of the Linguistics of English at the University of Basel's Department of Languages and Literatures within the Faculty of Humanities and Social Sciences. She teaches in the BA English, MA English, and MA Language and Communication programs and is a member of the eucor Hermann-Paul School of Linguistics for PhD students in linguistics. Her research focuses on interpersonal pragmatics, linguistic politeness, relational work, and computer-mediated communication. She has led projects such as 'Language and Health Online' (SNF 2012–2016) and currently explores 'Pragmatics of Fiction: Lay subtitling and online communal viewing' (UniBas 2019-current). Her research output includes monographs on pragmatics in translation, corpus pragmatics, and the pragmatics of fiction. She edits the 'Pragmatics & Beyond New Series' for Benjamins and the 'Journal of Pragmatics'. Locher administers the SWELL mailing list for Swiss English linguistics researchers. Her work bridges theoretical and applied linguistics, with a focus on digital discourse, health communication, and fan translation practices. Recent publications emphasize online interaction dynamics, such as fan translations of Korean TV dramas and communal viewing practices on platforms like Viki. She explores how humor, emotive stance, and relational work shape communication in digital spaces. Her research integrates cross-cultural and global perspectives, addressing politeness and impoliteness in diverse contexts. Locher’s contributions to pragmatics highlight the evolving role of media and technology in shaping linguistic practices and social interactions.

• Auditing
• Financial Accounting
• Valuation

Florian Eugster serves as Associate Professor of Auditing at the University of St. Gallen (HSG), Switzerland, where his research and teaching focus on auditing, financial accounting, and valuation. Based in St. Gallen at Tigerbergstrasse 9 (Office 57-106), he maintains an active academic profile with international collaborations and editorial responsibilities. His educational foundation includes a summa cum laude PhD in Finance from the University of Zurich (2009–2013), complemented by pedagogical training from the Stockholm School of Economics (2017) and CEIBS (2015). Earlier degrees comprise a Master of Arts in Business Administration (summa cum laude, 2007–2009) and Bachelor of Arts in Banking and Finance (2004–2007), both from the University of Zurich, with a visiting period at the University of Toronto’s Rotman School (2012–2013). Eugster’s research spans critical domains in accounting: Auditing : Investigating audit quality determinants, materiality judgments during crises, and digital transformation’s impact on assurance processes Financial Accounting : Analyzing valuation techniques, supply chain disclosures, and cross-cultural earnings reporting practices Contemporary Issues : Pioneering studies on climate-related disclosures, passive investor influences, and green bond verification mechanisms His scholarly output demonstrates increasing engagement with ESG factors and regulatory challenges in global markets. Analysis of his 15 most recent publications reveals a methodological emphasis on archival data spanning US, UK, Chinese, and Swiss contexts. Key trajectories include the growing intersection of digitalization with auditing standards, heightened scrutiny of climate disclosures, and the evolving role of institutional investors in financial oversight. His work consistently addresses regulatory gaps while maintaining technical rigor in accounting measurement. Eugster contributes to academic governance as a member of the European Accounting Review editorial board, reflecting peer recognition of his expertise. This service represents his primary documented scholarly contribution beyond publications. As an educator, he supervises doctoral research through courses like ‘Topics in Accounting Research’ and ‘Empirical Archival Methods’, while teaching bachelor/master courses in auditing, financial statement analysis, and valuation. His executive education involvement includes the CAS Internal Auditing program. Project leadership in ‘Weiterentwicklung IKS/RCM @ HSG’ demonstrates institutional engagement with risk control systems, though specific grant funding details remain undisclosed. While no dedicated laboratories are mentioned, his ‘Advanced Auditing & Audit Data Analytics’ course indicates integration of computational methods into assurance practices, suggesting emerging work in audit technology applications.

Tim Ruben Davidsonمشاهده پروفایل

پژوهشگر

• deep generative models
• agentic systems
• synthetic data
• +۱ مورد دیگر

Tim Ruben Davidson is a Researcher at the Digital Life Lab (DLAB) within the School of Computer and Communication Sciences at EPFL. His current role is Doctoral Assistant, pursuing a doctoral program in Computer and Communication Sciences. His research focuses on advanced machine learning topics including deep generative models, agentic systems, synthetic data applications, and representation learning. His work bridges theoretical advancements in AI with practical implications, particularly in understanding AI agency, synthetic data generation, and latent space structures. Key research trends in his articles include exploring AI self-awareness, evaluating AI-driven peer review systems, and optimizing generative models through geometric and topological approaches. He has contributed to foundational studies on hyperspherical VAEs and reparameterization techniques on Lie groups, advancing mathematical foundations of neural networks. His work is published in top-tier venues and reflects interdisciplinary engagement between computer science, mathematics, and ethical AI considerations.

Martin Oderskyمشاهده پروفایل

استاد

• Programming languages
• Object-oriented programming
• Functional programming
• +۶ مورد دیگر

Martin Odersky is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences, where he heads the Programming Methods Laboratory (LAMP1). He maintains dual teaching appointments in the Systems and Software Engineering (SIN) and Software and Systems Engineering (SSC) sections. Education: Doctorate from ETH Zurich (1989) Odersky's research fundamentally explores the unification of object-oriented and functional programming paradigms. His work spans language design, type theory, compiler construction, and semantic foundations, driven by the thesis that these paradigms are complementary facets of a single computational model. This vision materialized in the Scala programming language, engineered for seamless Java/.NET interoperability while advancing type-safe abstractions for modern software development. His publication trajectory (1997-2005) reveals consistent innovation in bridging theoretical rigor with industrial applicability. Key themes include component-based modularity (Scalable Component Abstractions), dependent type systems for objects, and practical implementations of generics and functional constructs, all converging toward expressive yet safe programming models. Advising and Funding: Odersky has mentored 29 PhD students across his career, including 5 current candidates. His research sustains major funding from the Swiss National Science Foundation, European Commission, and Hasler Foundation, enabling foundational work in language design and implementation. Laboratory: He directs EPFL's Programming Methods Laboratory (LAMP), which drives Scala's evolution and investigates next-generation programming abstractions for concurrency, modularity, and type-driven development.

Marco Maggiمشاهده پروفایل

دانشیار

• Literary Intermediality
• Comparative Literature
• Reception Studies
• +۳ مورد دیگر

Marco Maggi is Associate Professor of Comparative Literature and Literary Theory at the University of Italian Switzerland (USI), affiliated with the Faculty of Communication, Culture and Society. He co-directs the Master's program in Italian Language, Literature, and Civilization and previously served as Vice Dean (2020–2022). His editorial roles span multiple international series, including Crossovers: New Perspectives on CompLit and Diomira. Studi teorici sull'intermedialità , and he curates the Lea Ritter Santini Collection at the Natalino Sapegno Foundation. Marco Maggi's research delves into Literary intermediality, particularly between literature and visual culture Comparative literature, focusing on European Baroque and modernity Reception studies of classical texts in contemporary contexts Cultural transfer mechanisms in historical and artistic frameworks His 2020–2022 Images in Question project at USI's Faculty of Communication, Culture and Society exemplifies his commitment to interdisciplinary visual analysis. His publications portfolio, Walter Benjamin and Dante (2017) Visual Modernity of The Betrothed (2019) Intermediate Forms (2025) reveals a trajectory from Baroque textual theory to contemporary ecocriticism projects exploring natural inscriptions. Scientific recognition includes Italian national scientific qualification (2017) and fellowships at Naples' Italian Institute for Philosophical Studies (1999–2001) and Paris' Institut d'Études littéraires (2005). As curator of documentary exhibitions like Affioramenti (2018), and regular contributor to L'Indice dei Libri del Mese and antinomie.it , he bridges academic research with public intellectual discourse through frequent media appearances and cultural curation.

Tobias Hodelمشاهده پروفایل

استادیار

• Digital Humanities
• Machine Learning in the Humanities
• Critical Algorithm Studies
• +۳ مورد دیگر

Prof. Dr. Tobias Hodel is an Assistant Professor of Digital Humanities at the University of Bern, affiliated with the Walter Benjamin College. His work focuses on applying machine learning and critical algorithm studies to historical and textual analysis. He holds a Ph.D. from the University of Zurich and has held roles such as Project Manager for the Königsfelden Edition Project and coordinator of the 'Ad fontes' e-learning program. Hodel’s research explores intersections between digital methods and traditional humanities, emphasizing ethical AI use in archives and historical workflows. He supervises numerous doctoral students and chairs the Swiss Academy of Humanities and Social Sciences (SAGW). His contributions span publications in journals like Historische Zeitschrift and conferences such as DHd and Digital Humanities. Education: Studied History and German Literature at the University of Zurich (2002–2010), with advanced roles in SNF-funded projects and book publications. His research interests include digital edition theory, text processing, and the epistemology of digital methods. Key research trends in his articles address historical document analysis, OCR advancements, and the ethical implications of AI in archives. He co-leads the ‘Basic Research and Digitization’ department at the Swiss Society for History and oversees programs like the MAS/CAS in Archives, Library, and Information Science. Hodel’s work bridges technical innovation with critical humanities scholarship.

Ben Jannمشاهده پروفایل

استاد

• Statistical Methods
• Data Visualization
• Social Inequality
• +۲ مورد دیگر

Ben Jann is a Professor and current Department Head at the University of Bern in the Department of Social Sciences . His methodological expertise spans statistical software development, decomposition analysis, and data visualization. Role: Department Head Institution: University of Bern Department: Department of Social Sciences Research Interests : Jann specializes in creating Stata modules for advanced statistical analysis, including geospatial mapping (geoplot), robust regression (robreg10), and inequality decomposition (oaxaca-blinder methods). His substantive work examines social inequality through economic and sociological lenses, analyzing how living costs and taxation systems impact income distribution in Switzerland. He also investigates educational transitions and gender disparities in STEM occupational choices through longitudinal studies like TREE2. Recent Publications Trends : Jann’s 15 most recent articles (2025-2023) demonstrate his focus on statistical software development for social science applications. Key contributions include methods for marginal odds ratios (2023), two-level model variance decomposition (2025), and list experiment analysis (2025). His empirical work connects statistical methodology to pressing social issues like gender wage gaps (2021) and teacher content knowledge in developing countries (2021).

• Medical Data Science
• Anomaly Detection
• Generative AI
• +۳ مورد دیگر

Dr. Thomas Sutter is a Researcher affiliated with the Department of Computer Science at ETH Zurich , specifically part of the Professorship for Medical Data Science. His work focuses on advanced machine learning techniques applied to medical data, including anomaly detection, generative AI, and multimodal learning. He contributes to healthcare innovation through projects like improving radiology diagnostics via Vision-Language Models (RadVLM) and developing denoising techniques for physiological signals in cardiology. Research Interests: Medical Data Science, Anomaly Detection in Healthcare, Generative AI for Biomedical Signals, Multimodal Representation Learning, and Cardiac Function Prediction using Echocardiograms. His methods often combine deep learning with domain-specific medical challenges. Key Publications Trends: Recent work emphasizes medical imaging analysis (e.g., MIMIC-CXR studies), generative models for signal denoising, and contrastive learning for anomaly detection. His research bridges computer science theory with clinical applications, particularly in cardiology and radiology. Awards & Grants: No specific awards or grants mentioned in the provided texts. Advising & Teams: While no advisees are listed, he collaborates within the Medical Data Science research group at ETH Zurich, contributing to interdisciplinary projects in healthcare AI.

• Deep Learning
• Distributed Machine Learning
• Federated Learning
• +۷ مورد دیگر

Tao Lin is a Tenure-Track Assistant Professor and Principal Investigator of LINs Lab at Westlake University, School of Engineering. He leads cutting-edge research in deep learning optimization, generalization, and robustness, particularly in distributed and federated settings. Prior to this, he was a Ph.D. student at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, under the supervision of Prof. Martin Jaggi and Prof. Babak Falsafi. Doctor of Science, School of Computer and Communication Sciences, EPFL, Switzerland (2017–2022) Master of Science, School of Computer and Communication Sciences, EPFL, Switzerland (2014–2017) Bachelor of Engineering (with honors), College of Electrical Engineering, Zhejiang University, China (2010–2014) His research focuses on the intersection of optimization and generalization in deep learning, leveraging theoretical and empirical insights into loss landscapes and training dynamics to design efficient and robust learning and inference methods. This includes work on decentralized and federated learning under noisy, heterogeneous, and hardware-constrained environments. His work spans algorithmic innovation, theoretical analysis, and practical system integration. The recent publications from his lab demonstrate a strong trend in advancing federated learning, efficient inference for large language models, multimodal foundation models in pathology, and robust training under distribution shifts. Key themes include communication efficiency, model personalization, gradient tracking, and hardware-aware learning. His group has published at top venues including NeurIPS, ICML, ICLR, CVPR, and ECCV, with several papers receiving oral or spotlight presentations. ECCV Best Paper Candidate, 2024 Top 2% Scientists Worldwide 2024 (Stanford University) Doctoral Program Thesis Distinction Award, EPFL, 2022 Outstanding Performance Bonus, EPFL, 2021–2022 Top Reviewer: NeurIPS, ICML, AISTATS He advises multiple Ph.D. and master’s students, including Yongxin Guo, Futing Wang, Peng Sun, and Yuxuan Sun, whose work has been accepted at premier conferences. He has secured competitive grants as PI and participant, including the National Natural Science Foundation of China for Excellent Young Scientists Fund (Overseas) and the Science and Technology Innovation 2030 – Major Project. He also contributes to the community through service as an area chair (NeurIPS, ICML), reviewer for top journals and conferences, and organizer of workshops and academic events. His open-source contributions, such as Post-local SGD, have been integrated into PyTorch. Tao Lin teaches graduate courses such as Research Methodology of Computer Science and Technology and Deep Learning at Westlake University. He is actively involved in academic governance, serving on committees for student seminars, academic exchange, doctoral studies, and teaching leadership. The LINs Lab runs a regular research seminar on Deep Learning and Optimization, fostering a collaborative and dynamic research environment.

Mario Bottinelli Montandonمشاهده پروفایل

مدرس

• Contemporary Art
• Art Pedagogy
• History of Art
• +۴ مورد دیگر

Mario Bottinelli Montandon is a Lecturer in Visual Education at the Department of Education and Learning, Higher School of Pedagogy, University of Applied Sciences and Arts of Southern Switzerland (SUPSI). He graduated in Painting from Nuova Accademia di Belle Arti (NABA) in Milan in 1989 and earned a Master of Arts degree in middle school teaching (Visual Education/Education in the Plastic Arts) from SUPSI-DFA in 2015. His professional experience spans contemporary art research since 1990, with solo and group exhibitions across Europe. He has contributed to cultural initiatives, particularly focusing on Joseph Beuys’ work and thought. From 2003 to 2011, he worked in advertising as a creative director and producer in the instore design sector. Since 2013, he has been a lecturer in the Arts department (EV-EAP) within the Ticino school system. His skills include contemporary artistic research, history of art, visual perception, and drawing theory and techniques. His publications, such as the Museum Experience series, explore pedagogical approaches to integrating art and education through museum experiences. He teaches courses like Visual Education, Artistic and Expressive Languages II, and disciplinary seminars in Visual Arts.

Beat Suterمشاهده پروفایل

مدرس ارشد

• Game Design
• Game Studies
• Digital Humanities
• +۶ مورد دیگر

Dr. Beat Suter is a Senior Lecturer for Game Design at the Zurich University of the Arts (ZHdK) , where he has co-developed educational programs and founded the GameLab ZHdK. He holds a Dr. Phil. from the University of Zurich and has previously taught at the Merz Academy Stuttgart (2006–2014). His interdisciplinary work bridges game design, digital humanities, and electronic literature, with a focus on narrative mechanics, game preservation, and Swiss game culture. Education: Dr. Phil. (2000) – University of Zurich Lic. Phil. I (1987) – University of Zurich PALC Certificate – University of California San Diego Studies in German Literature, Linguistics, and Art History – University of Zurich and University of California His research explores intersections between game studies , digital archiving , and interactive narration , with recent publications analyzing Swiss youth culture in games, historical game packaging, and archiving digital interactive media. He co-authored the Narrative Mechanics (2021) and Games and Rules (2018) anthologies, emphasizing rule-based design and storytelling frameworks. From 2023, his 15 most recent articles (2023–2025) trace trends in game history , Swiss game design , and digital preservation , often published via the Confoederatio Ludens blog. These works highlight his focus on documenting marginalized game practices and cultural contexts. As founder of the art group AND-OR and co-director of the GameZ & RuleZ conference, Suter actively shapes interdisciplinary dialogues. He reviews for national research funds in Austria, Germany, and Switzerland and has curated exhibitions like RuleZ for the Magic Circle and Forgotten Game Mechanics , blending academic rigor with creative practice.

Maël Kubliمشاهده پروفایل

پژوهشگر ارشد

• Digital democracy
• Computational social science
• Artificial intelligence in political discourse
• +۴ مورد دیگر

Maël Kubli is a Postdoctoral Research Fellow at the Department of Political Science at the University of Zurich (UZH), where he also earned his PhD in Political Science. He serves as Developer for the Digital Democracy Lab since summer 2019 and contributes to the PRODIGI project, focusing on digital technologies' impact on democratic processes. His interdisciplinary work bridges political science methodology with computational techniques. PhD in Political Science, University of Zurich Kubli's research centers on digital democracy and computational social science, investigating how AI and machine learning reshape political discourse and public engagement. He examines the framing of AI narratives in EU political and media contexts, content moderation practices on digital platforms, and social media's role in political agenda-setting. His methodological approach combines computational methods with political theory, leveraging programming skills in R, HTML, CSS, and Bash to develop research tools for analyzing large-scale political discourse. His publication portfolio reveals a clear evolution from traditional election campaign analysis toward sophisticated computational studies of digital governance. Recent work demonstrates increasing application of large language models to analyze political discourse at scale, particularly in platform governance, media influence on content moderation, and AI's role in political communication. His research consistently addresses the tension between technological innovation and democratic resilience. Kubli actively collaborates within the University of Zurich's Digital Society Initiative (DSI), particularly through the DSI Community Democracy. As a Developer for the Digital Democracy Lab, he applies technical expertise to build research infrastructure for studying digital political processes, contributing to projects that examine how digital technologies both challenge and strengthen democratic institutions.