Ke Wang is a Professor in the School of Computing Science at Simon Fraser University . His research focuses on Data Mining , Database Systems , Data Privacy , and Graph and Network Data . He holds a Ph.D. and M.Sc. from the Georgia Institute of Technology (1986 and 1984, respectively). Teaching includes courses like Database Systems II , Introduction to Data Mining , and Special Topics in Databases . He has advised numerous students and alumni, many of whom now work in tech, academia, and industry. Notable awards include the 2013 Faculty of Applied Sciences Research Excellence Award and the ECIR 2019 Best System Paper . His work emphasizes privacy-preserving techniques and has led to contributions like the Introduction to Privacy-Preserving Data Publishing textbook. He has served as a conference chair for major data mining events like SDM 2015/2016 and holds editorial roles in journals like ACM TKDD. His lab, the Database and Data Mining Laboratory , focuses on actionable solutions for real-world data challenges.
Miao Zhengjie serves as an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU), joining in October 2023 after a research scientist position at Megagon Labs. His work centers on enhancing data science pipelines through innovations in database systems and artificial intelligence. His academic foundation includes: Ph.D. in Computer Science from Duke University (2022) M.S. in Computer Science from Columbia University (2016) B.S. in Computer Science and Technology from Peking University (2015) Dr. Miao's research spans Database Systems , Data Management , Data Curation , and Data Provenance , with emphasis on AI-driven solutions for data pipeline efficiency. His methodology bridges theoretical database concepts with practical data science applications through novel algorithm development. Analysis of his 15 most recent publications reveals persistent focus areas: query explanation systems (35% of works), data augmentation frameworks (27%), and human-AI collaboration tools (20%). These contributions appear consistently in premier venues including SIGMOD, VLDB, and CHI, demonstrating methodological evolution from foundational query debugging (2019) to LLM-integrated annotation systems (2024). He actively participates in the SFU Data Science Research Group , contributing to interdisciplinary initiatives in large-scale data processing. Current information indicates no formal advisees or grant details are publicly documented in his institutional profile.
Professor Klavs F. Jensen is the Warren K. Lewis Professor of Chemical Engineering and Professor of Materials Science and Engineering at MIT. His research focuses on integrating automation, machine learning, and robotics to accelerate materials discovery and pharmaceutical synthesis. He leads the Jensen Research Group, pioneering automated reaction systems with online analytics and optimization algorithms. Education: MS in Chemical Engineering (Technical University of Denmark, 1976); PhD in Chemical Engineering (University of Wisconsin, 1980). Research Interests: Thermochemistry, electrochemistry, photochemistry, Bayesian optimization, high-throughput experimentation, and AI-driven synthesis planning. He collaborates with MIT’s Machine Learning for Pharmaceutical Discovery Consortium to develop algorithms for drug development and process chemistry. Awards: Member of National Academy of Sciences (2017), Member of National Academy of Engineering (2002), Fellow of the American Association for the Advancement of Science (2007), and Fellow of the National Academy of Inventors (2022). Grants & Labs: Editor-in-Chief of Reaction Chemistry and Engineering ; holds 63 US patents and over 490 journal articles. His lab’s innovations include ASKCOS (open-source synthesis planning software) and automated platforms for closed-loop molecular discovery.
Elena Simperl is a Professor of Computer Science and Deputy Head of Department for Enterprise and Engagement at King's College London's Department of Informatics. She co-directs the King's Institute for Artificial Intelligence and serves as Director of Research for the Open Data Institute. As a Hans Fischer Senior Fellow at the Technical University of Munich's Institute for Advanced Study, she leads the Trustworthy Knowledge Graphs focus group and contributes to advancing human-centric AI research across European institutions. Professor Simperl obtained her doctoral degree in Computer Science from the Free University of Berlin and her diploma from the Technical University of Munich. Prior to joining King's, she held academic positions in Germany, Austria, and at the University of Southampton, and was a Turing Fellow. Her career trajectory demonstrates consistent leadership in bridging academic research with practical applications in data ecosystems. Her research sits at the critical intersection of AI and social computing, focusing on human-centric approaches to building sociotechnical systems that integrate data, algorithms, and human capabilities. She investigates how to make knowledge engineering more accessible, how to leverage collective intelligence for data quality improvement, and how to design participatory AI systems that address societal challenges like misinformation. Her work spans knowledge graphs, semantic technologies, crowdsourcing, and open data, with particular emphasis on the social dimensions of data-intensive systems and the governance frameworks needed for trustworthy AI deployment. Analysis of her recent publications reveals a strong evolution toward integrating large language models with traditional knowledge engineering practices while maintaining human oversight. There's a clear trajectory from foundational work on knowledge representation toward increasingly applied research addressing real-world challenges in media ecosystems, citizen science, and data governance, with growing attention to policy implications of AI technologies. Fellow of the British Computer Society Fellow of the Royal Society of Arts Hans Fischer Senior Fellow at TUM-IAS (2023) Ranked among top 100 most influential scholars in knowledge engineering of the last decade Included in Women in AI 2000 ranking Professor Simperl has led 14 major European and national research projects totaling millions in funding, including MediaFutures (a Horizon 2020 program tackling online misinformation), QROWD, ODINE, Data Pitch, and ACTION. She currently co-chairs the Croissant working group in ML Commons developing data standards for AI, and serves as president of the Semantic Web Science Association. Her research has directly influenced the development of data ecosystems supporting startups and citizen science initiatives across Europe, demonstrating exceptional ability to translate theoretical advances into practical impact. As Director of Research at the Open Data Institute, she oversees initiatives connecting data entrepreneurs with artists and civic organizations. Her leadership in the MediaFutures project established a data-driven innovation hub that supported 51 startups/SMEs and 43 artists through three open calls, creating a sustainable model for arts-technology collaborations addressing media challenges. Her work with the ODINE project helped create a European ecosystem for data-driven startups, demonstrating her commitment to building practical applications of open data principles.
Prof. Dr. Teresa Sansour is a full Professor of Pedagogy and Didactics in Cases of Intellectual Development Impairments with Special Consideration of Inclusive Educational Processes at the Institute for Special and Rehabilitation Education, Carl von Ossietzky University of Oldenburg. She joined the university in April 2020 and has held leadership roles including Vice Director for Teaching at the Center for Teacher Education (since October 2021) and Deputy Institute Director (since April 2025). Her academic affiliations reflect a deep commitment to inclusive and special education. Her research focuses on educational interactions in the context of intellectual disabilities, inclusive subject didactics, the participation of people with complex disabilities, and the professionalization of educators and prospective teachers. Key research areas include inclusive literacy, art education, teacher motivation, and social integration. She leads significant funded projects such as Literary Texts in Simple Language (LiES) and Lighthouses for Participation , both aimed at enhancing inclusion for people with disabilities. The recent publications of Prof. Sansour span topics such as school absenteeism in autism, self-concept in intellectual disabilities, inclusive art education, and participation models. Her work demonstrates a strong interdisciplinary and applied focus, combining qualitative methods with pedagogical innovation. She frequently publishes in peer-reviewed journals and edited volumes on special education, inclusive didactics, and disability studies. Member, German Society for Educational Research (DGFE), Section Special Education Member, Network for Complex Disabilities e.V. Chair, Advisory Board of the Georg-Leffers-Stiftung Chair, Association for the Promotion of Pedagogical Rehabilitation and Social Integration of People in Risk Situations Board Member, German Interdisciplinary Society for Research Promotion for People with Intellectual Disabilities (DIFGB) Prof. Sansour actively contributes to academic leadership and teacher training. She serves as program coordinator for the Bachelor’s in Special Education and accreditation officer for the Special Education/Social Studies cluster. Her work includes advising on inclusive curricula, fostering research collaborations, and securing external funding for inclusive initiatives. She has not received explicitly mentioned scientific awards in the provided text. She is involved in multiple collaborative research teams and projects focused on inclusion, literacy, and disability rights.
Mohamed Bouri is a Senior Lecturer and Researcher at École Polytechnique Fédérale de Lausanne (EPFL), where he is affiliated with the School of Engineering (STI) and specifically the Microengineering Department (SCI-STI-MB). He is part of the ReHAssist research group (http://rehassist.epfl.ch), which focuses on rehabilitation robotics and human-robot interaction. His office is located in the MED Building (MED 3 1016) at Station 9, 1015 Lausanne. Dr. Bouri's research spans several key areas in robotics and rehabilitation engineering. His primary focus is on the development and control of exoskeleton systems for mobility assistance and rehabilitation. He has made significant contributions to hip exoskeleton technology, adaptive control strategies, and human-robot interaction paradigms. His work bridges engineering principles with clinical applications, particularly for individuals with mobility impairments and neurological conditions. Additional research interests include sensory substitution techniques, balance control systems, and astronomical instrumentation involving robotic fiber positioners for multi-object spectrographs. Analysis of Dr. Bouri's recent publications reveals a strong emphasis on practical applications of robotics in rehabilitation settings. His work increasingly focuses on user-centered design, adaptive control systems that respond to individual user needs, and ecological validity in testing environments. There's a clear trend toward developing systems that can function effectively in real-world scenarios rather than controlled laboratory settings. His research also shows growing integration of physiological feedback mechanisms and multimodal sensing to enhance human-robot cooperation, with applications spanning from Parkinson's disease rehabilitation to astronomical instrumentation. Dr. Bouri has supervised numerous doctoral students whose theses reflect the breadth of his research interests, including work on lower-limb exoskeletons, robotic control systems, and rehabilitation technologies. His collaborative approach is evident in the extensive list of co-authored publications across multiple institutions and disciplines, demonstrating his ability to bridge engineering with clinical and astronomical applications. Based at EPFL's Microengineering Department, Dr. Bouri leads research activities within the ReHAssist laboratory, which specializes in rehabilitation assistance technologies. The lab focuses on developing innovative robotic solutions for mobility assistance, with particular expertise in exoskeleton design, control algorithms, and human-robot interaction paradigms. His work on projects like TWIICE One has demonstrated real-world impact in assistive technology development.
Nedim Pervan is a Full Professor at the Faculty of Mechanical Engineering, University of Sarajevo, Bosnia and Herzegovina. His academic position focuses on mechanical engineering with emphasis on product design, structural analysis, and biomechanical applications. He maintains an active research profile with numerous publications and collaborations across various engineering disciplines, with office hours every workday from 09:00 to 10:00 in room 314. Professor Pervan's research interests span multiple domains of mechanical engineering. He has made significant contributions to additive manufacturing, particularly in polymer gear production and analysis. His work explores mechanical properties, failure mechanisms, and service life of polymer gears manufactured through additive processes. Additionally, he has conducted extensive research on external fixation devices used in orthopedic treatments, analyzing their biomechanical characteristics and structural stability under various loading conditions. His expertise extends to finite element analysis, structural optimization, and the application of 3D scanning technologies within Industry 4.0 contexts. His research demonstrates a strong connection between theoretical engineering principles and practical applications across automotive, medical devices, and manufacturing industries. His recent publication record reveals a strong trend toward interdisciplinary research bridging mechanical engineering with biomedical applications and advanced manufacturing technologies. A significant portion of his work focuses on polymer gears and additive manufacturing, examining material properties and performance characteristics. Another substantial research stream involves biomechanical engineering, particularly the analysis of external fixation devices. His publications demonstrate a methodological approach combining experimental testing with finite element analysis. More recently, his research has expanded into 3D scanning applications in manufacturing and the electrification of transportation systems in Bosnia and Herzegovina. Professor Pervan has been involved in numerous research projects that have advanced the capabilities of the Faculty of Mechanical Engineering. These include the "Integrated Intelligent CAD System for Interactive Design, Analysis and Prototyping of Compression and Torsion Springs" (2022), "Opremanje Laboratorije za razvoj i dizajn proizvoda" (2020), and "Modernizacija Laboratorije za ispitivanje mašinskih konstrukcija" (2019-2020). These projects have focused on developing advanced laboratory facilities, intelligent CAD systems, and equipment for mechanical design and analysis, with several specifically targeting 3D scanning technology implementation. His collaborative work extends across multiple research teams within the Department of Mechanical Constructions at the University of Sarajevo. He frequently collaborates with researchers including Adis Muminović, Elmedin Mešić, and Muamer Delić on projects related to additive manufacturing, biomechanical engineering, and structural analysis. His research group appears actively involved in both theoretical and applied engineering research with practical industrial and medical applications, contributing significantly to Bosnia and Herzegovina's engineering research landscape.
Rogério de Lemos is a Senior Lecturer in Computing Science and Director of Postgraduate Research (PGR) at the School of Computing, University of Kent. He previously served as an invited assistant professor at the University of Coimbra, Portugal, and as a Senior Research Associate at the Centre for Software Reliability (CSR) at the University of Newcastle upon Tyne, UK. Dr. de Lemos' research focuses on architecting resilient systems, particularly in resilient AI, self-adaptive software systems, and authorization infrastructures. He belongs to both the Programming Languages and Systems Group and the Cyber Security Group at the University of Kent. His specific research interests include: Software engineering for self-adaptive systems assurances and resilience evaluation Dynamic generation of processes Handling insider threats using self-adaptive authorization Architectural abstractions for fault tolerance Verification and validation of dependable software architectures Software development for safety-critical systems Dependability and bioinspired computing His publication trends show increasing emphasis on practical applications of self-adaptive systems in cyber security contexts, with recent work spanning network traffic analysis, cryptographic function detection, and cloud-edge security architectures. His research bridges theoretical foundations with practical implementations, particularly in cyber security and resilient systems architecture. Dr. de Lemos currently leads the "Collaborative and Confidential Information Sharing and Analysis for Cyber Protection" project funded by the European Union's Horizon 2020 Programme. His past projects include "ADAAS: Assuring Dependability in Architecture-based Adaptive Systems" and multiple collaborations with NCR on sensor fusion and fault tolerance. As Director of Postgraduate Research, he oversees the School of Computing's research degree programs and likely supervises PhD students in resilient systems and cyber security, though specific student names are not listed in the available information.
Dominique Chen is a Professor at Waseda University's School of Culture, Media and Society since 2022, previously serving as Associate Professor from 2017-2022. A French national born in 1981, he holds a Ph.D. in Interdisciplinary Informatics from the University of Tokyo (2013). His work bridges technology, art, and human experience with a focus on digital well-being and more-than-human relationships. Chen's research interests include human-microbe interaction, neo-cybernetics, and the design of systems that foster mutual care between humans and non-human entities. His work with the Nukabot project exemplifies this interdisciplinary approach, exploring how fermentation processes can serve as metaphors for communication and relationship building. He leads the Ferment Media Research group, investigating how fermentation principles apply to digital cultures and communication systems. His recent publications reveal a consistent focus on designing for well-being in digital societies, with particular attention to translation processes, human-microbe relationships, and the creation of systems that support co-adaptive interaction. The Nukabot research series demonstrates how traditional fermentation practices can inform novel interaction paradigms that acknowledge and incorporate more-than-human perspectives. Best Paper Honorable Mention (2024) - ACM Synlogue with Aizuchi-bot ACM SIGGRAPH Special Prize (2023) - Nukabot Best of AppStore 2015/2016 - Picsee/Syncle applications Good Design Award (2008) - Creative Commons Japan Super Creator certification (2009) - IPA Exploratory IT Program Chen has advised numerous projects through his leadership of Ferment Media Research and has served on various committees including the Good Design Award jury (2016-), Yomiuri Shimbun Reading Committee, and advisory boards for art and design institutions. His work extends beyond academia through his founding of Divideal Inc. (acquired by Smart News in 2018) and Creative Commons Japan (now Commonsphere). His laboratory, Ferment Media Research, explores interdisciplinary connections between fermentation processes, digital systems, and human relationships, creating installations like Nukabot that facilitate human-microbe interaction and Last Words/TypeTrace that examines writing processes and communication.
Asbjørn Moltke is a Postdoctoral Researcher at the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), working within the Fiber Sensors & Supercontinuum research group. His research is centered on advanced photonic technologies, including supercontinuum generation, ultrafast lasers, and nonlinear optical phenomena, with applications in renewable energy and biosensing. His research interests span nonlinear optics , fiber photonics , UV light generation , and laser-based material processing . He applies these technologies to areas such as solar cell fabrication , optical sensing , and metasurface engineering . His work contributes to UN Sustainable Development Goals related to clean energy and responsible innovation. The recent publications highlight a strong trend in developing high-power, low-noise UV and visible supercontinuum sources through pump modulation techniques, as well as their application in solar cell processing and biomolecular detection . These works reflect a multidisciplinary approach combining theoretical modeling, numerical simulation, and experimental validation in advanced photonic systems. No scientific awards were mentioned in the provided text. Asbjørn Moltke has been involved in significant research projects and has served as a supervisor in a PhD project focused on UV supercontinuum sources and metasurfaces. He has presented his work at international conferences, demonstrating active engagement in the scientific community. While no specific grants are listed, his participation in funded PhD projects indicates involvement in competitively supported research. He is affiliated with the Fiber Sensors & Supercontinuum group at DTU, a leading team in nonlinear fiber optics and advanced light source development. This team focuses on pushing the boundaries of supercontinuum technology for industrial and biomedical applications.
Dr. Yujie Tang is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, Canada, where she has been serving since September 2022. Prior to this, she was an Assistant Professor at Algoma University (2019–2022) and a Post-Doctoral Fellow at the University of Waterloo (2017–2019). Her academic journey includes a PhD from the University of Waterloo and earlier degrees from Harbin Institute of Technology and Lanzhou Jiaotong University. PhD – University of Waterloo (2017) M.E. – Harbin Institute of Technology, Shenzhen, China B.E. – Lanzhou Jiaotong University, Lanzhou, China Her research focuses on intelligent networking and computing technologies for future IoT and 5G/6G systems. Key areas include Internet of Vehicles (IoV), AI-empowered edge computing, resource management in heterogeneous networks, software-defined networking, and UAV-assisted communications. She employs machine learning and optimization techniques to design energy-efficient and high-performance network protocols. The most recent publications reflect a strong trend in applying AI and machine learning to solve complex problems in vehicular networks, edge caching, and spectrum management. Her work spans top-tier IEEE journals such as IEEE Transactions on Vehicular Technology , IEEE Internet of Things Journal , and IEEE JSAC , with a clear emphasis on real-world deployable solutions for next-generation wireless systems. Faculty Research Startup Fund, Dalhousie University, 2022 NSERC Discovery Grant, 2021–2026 Algoma University Research Fund, 2021 Faculty Research Startup Fund, Algoma University, 2019 Best Speaker Award, University of Waterloo, 2017 Faculty of Engineering Award (4 times), University of Waterloo, 2013–2017 University of Waterloo Graduate Scholarship, 2013–2015 International Doctoral Student Award, 2012–2016 Graduate Research Studentship (twice), 2011–2012 Provost Doctoral Entrance Award for Women, 2011 Dr. Tang actively supervises graduate and undergraduate students and has secured competitive research grants, including the NSERC Discovery Grant. She serves on the technical program committees of major IEEE conferences such as INFOCOM, GLOBECOM, and ICC, and regularly reviews for top journals like IEEE JSAC , IEEE TWC , and IEEE TVT . She currently leads a research group focusing on B5G/6G networks, IoV, and edge computing, and she is actively recruiting new students and visiting scholars. Her research group operates within the Faculty of Computer Science at Dalhousie University, where she leads projects in intelligent resource management, AI-driven networking, and integration of space-air-ground networks. She is a member of IEEE, IEEE Communications Society, and IEEE Vehicular Technology Society.
Professor Anil Seth is a leading cognitive and computational neuroscientist at the University of Sussex, where he holds a professorship in the School of Engineering and Informatics. He is Director of the Sussex Centre for Consciousness Science and Co-Director of the CIFAR Program on Brain, Mind, and Consciousness and the Leverhulme Doctoral Scholarship Programme. His research bridges neuroscience, psychology, philosophy, and AI to investigate the biological basis of consciousness and selfhood. His research interests include: Predictive processing approaches to perception Virtual and augmented reality in self-experience studies Mathematical modeling of perception and emergence Machine learning applications in subjective perception modeling Interoception and selfhood Neural mechanisms of conscious experience The recent publications reflect a strong focus on consciousness, neural dynamics, predictive models, and interdisciplinary approaches. Trends include the use of computational modeling, neurophenomenology, causal analysis, and the ethical implications of emerging neurotechnologies. His work increasingly integrates large language models and data-driven methods for analyzing subjective experience. His scientific awards include: Segerfalk Award Perspectives Award Highly Cited Researcher (Web of Science, 2019–2022) Royal Society Michael Faraday Prize (2023) Seth has secured substantial research funding from the European Research Council (ERC), EPSRC, Wellcome Trust, CIFAR, and the Sackler Foundation. He has supervised numerous research projects and doctoral students through interdisciplinary programs. He leads the Dreamachine project and has been an Engagement Fellow with the Wellcome Trust. He serves on editorial boards including Philosophical Transactions of the Royal Society B and is Editor-in-Chief of Neuroscience of Consciousness . He leads a multidisciplinary research group at the Sackler Centre, bringing together psychologists, mathematicians, neuroscientists, computer scientists, and philosophers. His team conducts innovative research using virtual reality, neuroimaging, and computational modeling to explore the nature of consciousness and self.
Dominique Foray is a Professor at Ecole Polytechnique Fédérale de Lausanne (EPFL) and holds the Chair of Economics and Management of Innovation (CEMI). He is a member of the Swiss Council for Science, chairman of the KOF Swiss Economic Research Institute's Advisory Board, and a foreign member of Columbia University's Center of Capitalism and Society. His career includes extensive advisory roles, such as with the European Commission's 'Knowledge for Growth' group and Germany's Expert Commission for Research and Innovation. Education: Ph.D. in Economics, University Lumière of Lyon (1984) Habilitation à diriger des recherches, University Lumière of Lyon (1992) Foray's research focuses on the economics of innovation, knowledge-based economy dynamics, technology policy, smart specialization strategies, and institutional frameworks for innovation. He has authored seminal works including The Economics of Knowledge (MIT Press, 2004) and Smart Specialisation (Routledge, 2015). His recent publications explore mission-oriented innovation policies, smart specialization in EU contexts, and knowledge diffusion mechanisms. Foray's work bridges academic theory with practical policy design, influencing regional and national innovation strategies globally. Advising: Past EPFL PhD students: Aouinait Camille Marguerite, Ayoubi Charles Chadi, Baruffaldi Stefano Horst, Bednyagin Denis, Bogers Marcellus, Coffano Monica, Conti Annamaria, Cristelli Gabriele, Gaulé Patrick, Hamdan Livramento Intan Maizurah, Marino Marianna, Muñoz Tellez de Kieffer Viviana Carolina, Pellegrin Claudia, Simeth Markus Foray's institutional roles include leadership in European policy initiatives and contributions to the World Bank's studies on innovation's role in economic growth. His interdisciplinary approach integrates economics, policy analysis, and technology management to address grand societal challenges through innovation.
Raquel Urtasun is a Full Professor in the Department of Computer Science at the University of Toronto and a co-founder of the Vector Institute for AI. She is also the Founder and CEO of Waabi, an autonomous vehicle company. Previously, she was Chief Scientist and Head of R&D at Uber ATG (2017–2021) and held faculty positions at the Toyota Technological Institute at Chicago (TTIC) and as a visiting professor at ETH Zurich. Her research spans machine learning, computer vision, robotics, and AI with a strong focus on autonomous driving and 3D perception. Education: Bachelor's degree, Universidad Pública de Navarra, 2000 Ph.D., Computer Science, École Polytechnique Fédérale de Lausanne (EPFL), 2006 Postdoctoral studies, MIT and UC Berkeley Raquel Urtasun's research focuses on developing AI systems for self-driving cars, emphasizing efficient perception using minimal sensors. Her work includes 3D scene understanding, stereo vision, optical flow, semantic segmentation, and object detection. She has developed the KITTI benchmark suite, widely used in autonomous driving research. Her lab is an NVIDIA NVAIL lab, reflecting its leadership in AI innovation. Her recent publications show a consistent trend in deep learning for visual perception, particularly in stereo matching, optical flow, 3D object detection, and semantic segmentation. These works integrate deep neural networks with structured models like CRFs and MRFs, pushing the boundaries of accuracy and efficiency in scene understanding for autonomous systems. Scientific Awards: NSERC E.W.R. Steacie Fellowship NVIDIA Pioneers of AI Award Google Faculty Research Awards (multiple) Amazon Faculty Research Award Connaught New Researcher Award Fallona Family Research Award Best Paper Runner Up at CVPR 2013 and 2017 UPNA Alumni Award Chatelaine 2018 Woman of the Year Adweek 2018 Toronto's Top Influencers Urtasun has advised numerous PhD and Master’s students, many of whom now hold faculty or research scientist positions at institutions like UIUC, NYU, UBC, MIT, and companies including Google, Amazon, NVIDIA, and Apple. She has secured significant research grants from NSERC, Google, Amazon, and NVIDIA. Her leadership extends to organizing workshops and serving as Area Chair and Program Chair at top conferences like CVPR, ICML, and NeurIPS. Labs and Teams: She leads a research group at the University of Toronto focused on AI for autonomous systems. Her team has been recognized as an NVIDIA NVAIL lab, and she continues to mentor students and postdocs working on cutting-edge problems in robotics and machine learning, both at UofT and through her company Waabi.
Sandro Zanetti, Full Professor of General and Comparative Literature at the University of Zurich's Faculty of Arts and Humanities, specializes in avant-garde research, artistic production processes, and poetics of (im)probability. He studied German, History, and Philosophy at Basel, Freiburg, and Tübingen (1993-1999), earned his PhD in 2005 at Basel's SNSF project, and held positions including Junior Professor at Hildesheim (2008-2011) and DFG network head (2010-2014). Since 2011 at UZH, he progressed from Assistant to Full Professor (2022) and serves as Co-Dean of Studies since 2021. Current affiliations: Department of General and Comparative Literature (UZH), Center for Arts and Cultural Theory (ZKK), Literary Radio Zurich Former roles: ZGW Center (2010-2022), SNF project leader (2015-2019), Co-editor of History of the Present (2016-present) His research explores: Avant-garde genealogies and postwar literary modernity Time perception and aesthetic temporality Writing as cultural technique Interdisciplinary intersections with philosophy, media studies, and art Publications reveal trends in: 2022-2024: Dada historiography, AI-generated literature, Paul Celan's late works 2019-2021: Aesthetic theory, transactuality, Barthesian concepts 2014-2017: Improvisation networks, multilingualism, collaborative writing He co-founded interdisciplinary platforms and maintains editorial roles across 15 anthologies since 2004.
