Birgit Tremml-Werner is a Lecturer at Stockholm University (since 2023) and former Associate Professor at Linnaeus University. She holds a PhD from the University of Vienna (2012), focusing on early modern Manila's trade and diplomacy. Her research explores global diplomatic history beyond Eurocentrism, emphasizing Southeast Asia and colonial dynamics. Co-founder of the Global Diplomacy Network (GDN) and co-creator of Global Archives Online (GAO), she promotes accessible historical resources. Teaching spans undergraduate to doctoral levels, including courses at Stockholm University and international institutions like the University of the Philippines and Universiteit Antwerpen. She advises three PhD students and leads initiatives like the 2024 doctoral course on GAO metadata usability. Research interests include early modern diplomacy, indigenous agency in colonial contexts, and material/knowledge archives. Projects such as 'Encountering Diplomacy in Early Modern Southeast Asia' and GAO reflect her commitment to interdisciplinary and globally inclusive historiography.
Muhammad Farooq is an Assistant Professor of English at Seton Hall University's Department of English. He specializes in 20th- and 21st-century British, postcolonial, and global Anglophone literature, with research focusing on postcolonial studies, necropolitics, memory, and spatial literary studies. His current book project, The Production of Necrospace: Literary Imaginary and Ungrievable Lives in the Af-Pak Frontier , examines necrogeographies through literary texts from the British colonial era to contemporary Af-Pak works. Education: PhD in English, Kent State University (2023) His research explores intersections between literature and socio-political structures, particularly in contested regions like the Afghanistan-Pakistan frontier. Farooq’s work often addresses how literature conceptualizes spaces of death (necrospace) and the politics of grievability. His recent publications analyze Afghan American fiction’s soundscapes, Pashto poetry’s engagement with drone warfare, and modernist narratives like Virginia Woolf’s works. He has received multiple awards including the 2024 University Research Council Grant and the 2023 Ohio International Consortium Award. Farooq teaches courses such as Postcolonial Theory and Literature and Death, Memory, and Resilience , emphasizing critical thinking across cultural divides. Grants: University Research Council Grant (2024), Newberry Renaissance Consortium Grant (2020) No specific labs or research teams are mentioned, but his interdisciplinary approach bridges literary analysis with geopolitical and cultural studies.
Mike Kirby is a Professor at the Kahlert School of Computing, University of Utah. He also holds adjunct professorships in the Department of Bioengineering and the Department of Mathematics. His current roles include leadership in scientific computing and informatics initiatives, including former directorships of the Utah Informatics Initiative (2019-2023) and the Multi-Scale Multidisciplinary Modeling of Electronic Materials (MSME) Collaborative Research Alliance (2016-2022). He has extensive experience in strategic research initiatives, including serving as Assistant Vice President for Research (2024-2025). Education: Dr. Kirby earned a PhD in Applied Mathematics (2002) and MS in Computer Science (2001) from Brown University, and a BS in Applied Mathematics and Computer Science from Florida State University (1997). Research Interests: Focus on large-scale scientific computing, physics-informed machine learning, computational science and engineering, high-order numerical methods, and visualization. His work bridges applied mathematics and computer science to address real-world engineering challenges. Publications: Over 150 peer-reviewed articles, including high-impact contributions in journals like Journal of Computational Physics and SIAM Journal on Scientific Computing . Recent work emphasizes machine learning for differential equations, topology optimization under uncertainty, and multi-fidelity modeling. Awards: Recognized for leadership in computational science and informatics, including contributions to University of Utah’s Clery Compliance Program. Advising & Grants: Supervised over 50 graduate students and postdocs. Secured funding from NSF, DOE, and industry partnerships, totaling millions in research grants. Active in interdisciplinary collaborations across engineering, materials science, and medicine. Labs/Teams: Scientific Computing and Imaging (SCI) Institute, Utah Informatics Initiative, and the Center for Multiscale Modeling of Electronic Materials (MSME).
Cezary Kaliszyk is a Professor in Theoretical Computer Science at the University of Melbourne, previously affiliated with the University of Innsbruck. He is actively involved in research and leadership in formal methods, automated reasoning, and machine learning for theorem proving. Research Interests: Automated Reasoning and Interactive Theorem Proving Formalized Mathematics and Proof Automation Machine Learning for Logic and Theorem Proving Integration of AI with Proof Assistants (Coq, Isabelle) Dependent Type Theory and Higher-Order Logic His recent publications (2023–2025) span topics in dependently-typed logic, learning for proof guidance, formalization of surreal numbers, and blockchain-based formal methods. The works consistently bridge formal logic with machine learning, emphasizing automation, explainability, and cross-system integration. Scientific Leadership and Projects: Principal Investigator, ERC project FormalWeb3 Lead Developer, CoqHammer , Tactician , ProofWeb WG5 Leader, COST Action EuroProofNet (until 2024) Contributor to HOL(y)Hammer , Isabelle Enigma He supervises multiple PhD students and has mentored several graduates in formal methods and AI. He teaches courses in theoretical computer science, logic, and machine learning. There are no listed awards in the provided data, but his extensive publication record and project leadership indicate significant recognition in the field. Labs and Research Groups: He leads a research group focused on formal methods and learning-based reasoning, collaborating internationally on projects involving proof automation, formal libraries, and semantic technologies.
Sotirios Liaskos is an Associate Professor in the School of Information Technology at the Faculty of Science, York University. He is a leading researcher in requirements engineering and conceptual modeling, with a focus on goal models, empirical evaluation, and model-driven engineering. Research Interests: Requirements Engineering Goal and Conceptual Modeling Empirical Software Engineering Model-Driven Design and Automation Uncertainty and Decision-Theoretic Reasoning in Models Applications in Blockchain and Reinforcement Learning His recent work emphasizes the empirical validation of modeling constructs, the integration of decision theory into goal models, and the automated generation of secure workflows and AI training environments. He has led and co-authored numerous experimental studies on model comprehensibility and semantic quality. Publication Trends: His publications consistently appear in top venues like ER, RE, and iStar. The last five years show a strong trend toward empirical evaluation of modeling languages, decision-theoretic goal models, and applications of goal modeling in emerging domains such as blockchain and reinforcement learning simulation design. Scientific Contributions: Developed frameworks for empirical evaluation of modeling language ontologies (Peira framework). Advanced decision-theoretic approaches to goal modeling under uncertainty. Pioneered model-driven methods for generating blockchain simulators and reinforcement learning environments. Conducted foundational empirical studies on the comprehensibility of contribution links and visualization alternatives in goal models. Advising and Collaboration: He has advised several researchers including Ibrahim Jaouhar, Wisal Tambosi, Mehrnaz Zhian, and Saba Zarbaf. He maintains a highly collaborative research profile with frequent co-authorship with John Mylopoulos, Shakil M. Khan, and other international researchers. He has served as a co-editor for multiple iStar workshop proceedings, indicating leadership in the goal-oriented requirements engineering community. Labs and Teams: While no specific lab name is mentioned, his work is closely associated with research groups focused on requirements engineering and conceptual modeling, likely within York University’s software engineering research cluster. His collaborations span institutions in Canada, Europe, and beyond.
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.
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.
Dennis W. Duke is a Professor of Physics at Florida State University, with a joint appointment in the Department of Physics within the College of Arts and Sciences and the School of Computational Science. He has been a faculty member at FSU since 1979, progressing from Visiting Assistant Professor to his current position as full Professor since 1992. Duke has also held significant leadership roles including Director of the Supercomputer Computations Research Institute (1993-1998) and Director of the San Diego Supercomputer Center (1996-1997). Duke's research spans multiple disciplines with primary focuses on the history of ancient astronomy, computational physics, and high-performance computing. His work in ancient astronomy includes detailed studies of Greek, Babylonian, and Indian astronomical traditions, with particular emphasis on planetary models, trigonometry development, and historical measurement techniques. In computational science, he has made contributions to nonlinear dynamics, chaos theory, and statistical process control. Duke is particularly known for creating educational computer animations of ancient planetary models that have become valuable teaching tools. Analysis of Duke's 15 most recent publications reveals a consistent focus on historical astronomy, with approximately 75% of his work dedicated to analyzing ancient astronomical systems from Greek, Babylonian, and Indian traditions. The remaining publications address statistical methods and computational techniques. His historical research often combines mathematical analysis with historical scholarship to reconstruct and understand ancient astronomical practices. COFRS Award, The Florida State University (1985) COFRS Award, The Florida State University (1986) Developing Scholar Award, The Florida State University (1986) President's Continuing Education Award, The Florida State University (1992) Duke has been extensively involved in professional service, serving on numerous national committees related to supercomputing and organizing major conferences including multiple Supercomputing 'XY events from 1988 through 2006. His teaching extends beyond traditional academic boundaries through public outreach initiatives such as chairing the Board of Directors for Tallahassee Free-Net, Inc. and serving on the Leon County Schools Information Services Advisory Board. He has supervised numerous graduate students in computational physics and the history of science, though specific student names are not documented in the provided materials. Duke maintains an active research laboratory focused on computational ancient astronomy, where he develops mathematical models and computer animations to visualize historical astronomical concepts. His team has created an extensive collection of interactive animations demonstrating planetary models from Ptolemy through Copernicus, which are widely used in educational settings. Current projects include further analysis of ancient star catalogs and the development of more sophisticated visualization tools for historical astronomical concepts.
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.
Susan Scheckel is an Associate Professor in the Department of English at Stony Brook University, specializing in American literature and culture before 1900. Her research spans the history of race, visual and print cultures, theories of nationalism, and medical history in the U.S. context. Ph.D. from University of California-Berkeley (1992) Teaches courses on 19th-century American literature, Civil War culture, and Gothic literature Current research focuses on nostalgia as a medical and cultural concept in U.S. history Her publications explore intersections of race, gender, and medicine in 19th-century American literature and visual culture, including award-winning analyses of indigenous representation and national identity. Awards include NEH Summer Fellowships, the Don D. Walker Prize, and SCMLA Book Prize. She has taught at the University of Memphis, University of Southern California, and Stony Brook since 2000. Email: Susan.Scheckel@stonybrook.edu Office: Humanities 2091
Uwe Flick is a Seniorprofessor in the Department of Education and Psychology at Freie Universität Berlin, specializing in Qualitative Social and Education Research. He has held professorships at Alice Salomon University and Hannover Medical School and is internationally recognized for his contributions to qualitative methodology. Education: Dr. phil. from Freie Universität Berlin (1988), Habilitation in Psychology from Technical University of Berlin (1994). Professional Affiliations: Freie Universität Berlin (2013–present, Seniorprofessor since 2022), Alice Salomon University (2004–2013), Hannover Medical School (1996–1997). His research centers on qualitative methods , social representations of health and illness , chronic illness , migration , and vulnerability . He investigates the lived experiences of marginalized groups, including chronically ill youth, homeless adolescents, and refugees, often employing triangulation and mixed methods to deepen understanding. The 15 most recent publications highlight his sustained focus on advancing qualitative research methodology—editing handbooks, writing foundational texts, and refining concepts of research quality, triangulation, and design. Simultaneously, his empirical work explores health communication, peer relationships, and integration challenges among vulnerable populations, demonstrating a powerful integration of methodological innovation with socially relevant inquiry. Scientific Awards: Lifetime Achievement Award in Qualitative Inquiry, ICQI (2019) Flick actively advises doctoral students through his Promotionskolloquium and has secured substantial research funding for projects on refugee integration, sleep disorders, and chronic illness. His editorial roles in journals like Qualitative Research , Journal of Health Psychology , and Sozialer Sinn , and his leadership in book series such as Qualitative Sozialforschung , underscore his influence in shaping the field. He is a central figure in qualitative research communities, frequently engaging as a visiting scholar and professor across Europe and globally. He leads a research team at Freie Universität Berlin, supervising master’s and doctoral projects on topics like peer relations, health concepts, and migration, fostering the next generation of qualitative researchers.
Prof. Dr. Ingo Scholtes is Chair of Machine Learning for Complex Networks at Julius-Maximilians-Universität Würzburg's Center for Artificial Intelligence and Data Science (CAIDAS). His research spans network science, graph machine learning, and computational social science, with applications in software engineering, ecology, biology, and physics. He received a Juniorfellowship from the German Informatics Society (2014) and an SNSF Professorship (CHF 1.5Mio, 2018). Current affiliations: JMU Würzburg (since 2021), University of Zurich (2018-2024), Bergische Universität Wuppertal (2019-2021) Research focus: Higher-order network modeling, temporal graph analysis, AI for collaborative systems, causality-aware machine learning His recent publications demonstrate strong trends in temporal network analysis , graph neural networks for time-series, and higher-order models across software engineering and social science domains. He co-chairs multiple international workshops on complex networks and serves as associate editor for EPJ Data Science and Advances in Complex Systems. Key scientific contributions: Foundational work on higher-order network models published in Nature Physics Methodological innovations in temporal network visualization (HOTVis) and path-based analysis (pathpy) As both educator and organizer, he leads the Computational Social Science Section at GI e.V., mentors across disciplines, and develops tools like git2net for collaboration analysis. His work bridges theoretical foundations with practical applications in network science.
Michele Matteini serves as Associate Professor in the Department of Art History at New York University's College of Arts and Science, specializing in Late Imperial Chinese painting and material culture (ca. 1400-1800) with focus on Qing dynasty antiquarianism, collecting practices, and eighteenth-century transnational artistic exchanges. His academic credentials include: Ph.D. (2012) in History of Art from the Institute of Fine Arts M.A. (2004) in History of Art from New York University B.A. (2000) summa cum laude from the University of Venice, Ca’ Foscari Research interests encompass Late Imperial Chinese painting, antiquarianism, collecting culture, Qing history, urban culture, inter-Asian artistic exchanges, eighteenth-century globalism, craft traditions, embodied knowledge, and art historical methodology. His interdisciplinary approach bridges anthropology, religious studies, and art history to examine material culture across East Asia. Recent publications reveal consistent thematic focus on eighteenth-century material practices, analyzing antiquarian objects, historical figure cults, and cross-cultural artistic production. Works integrate art historical analysis with anthropological perspectives on topics like rock collecting, filial piety, and sacred materiality, demonstrating how objects functioned within social and global contexts. His scholarly recognition includes: The Andrew Mellon Foundation Fellowship for Assistant Professors, Institute for Advanced Study, Princeton (2013-2014) Ittleson Fellowship, Center for Advanced Study in the Visual Arts, National Gallery of Art (2007-2009) Panofsky Distinguished Fellowship, Institute of Fine Arts, New York University (2002-2007) Matteini's research has been supported by major fellowships from the Andrew W. Mellon Foundation and National Gallery of Art. While current advising activities and grant projects beyond these fellowships are not detailed in available sources, his extensive publication record indicates sustained scholarly productivity focused on East Asian material culture.
Leslie Robison serves as Professor of Visual Arts and Dean of the School of Creative Arts & Letters at Flagler College in St. Augustine, Florida, teaching courses spanning foundational techniques to community-based practices including Drawing I, Painting I, Contemporary Drawing Practices, and the Prison Mural Practicum. Education MFA, University of Florida BFA, Washington State University Research Focus Robison's creative scholarship centers on Painting and Drawing within contemporary studio art, with emphasis on socially engaged practices that address incarceration, homelessness, and community empowerment through mediums including video and craft. Their work manifests in collaborative projects like the Sheltering Sky Project with homeless populations and Cellmates at youth correctional facilities. Exhibitions & Community Impact Recent solo exhibitions include What a Man, What a Man (Jacksonville University) and A Soft Insurrection (Dayton Society of Artists), while community initiatives feature the Prison Mural Practicum and R.B. Hayling Freedom Park's Let Freedom Ring Chimes Project. Group exhibitions span international venues including Nasty Women Art Prize showcases in Lisbon and Amsterdam.
Brian Hie is an Assistant Professor of Chemical Engineering at Stanford University , a Dieter Schwarz Foundation Stanford Data Science Faculty Fellow , and an Innovation Investigator at Arc Institute . He leads the Laboratory of Evolutionary Design , focusing on the intersection of biology and machine learning . His prior roles include a Stanford Science Fellow in the Stanford University School of Medicine and a Visiting Researcher at Meta AI . Education: Ph.D. , Electrical Engineering and Computer Science , Massachusetts Institute of Technology (2021) Bachelor’s Degree , Stanford University Research Interests: Brian’s work bridges machine learning and computational biology , with a focus on protein engineering , single-cell RNA sequencing , and viral evolution . His Evolutionary velocity framework predicts protein evolutionary dynamics across timescales, while his Scanorama algorithm enables efficient integration of heterogeneous single-cell datasets. He also develops structure-informed language models for antibody optimization and uncertainty-aware ML for biological discovery. Publication Trends: His recent work (2023) emphasizes structure-based inverse folding for antibody evolution, evolutionary scale modeling , and unsupervised optimization . Earlier studies (2022-2021) cover evolutionary velocity , multi-modal single-cell analysis , and viral escape prediction using natural language analogies. Scientific Awards: Stanford Science Fellow (2021) National Defense Science and Engineering Graduate Fellowship (2019) Advising: He mentors doctoral students including Brandon Ameglio , Garyk Brixi , and Chang M. Yun , with a focus on biological design and computational methods . Labs & Collaborations: His lab collaborates with Bio-X and the Institute for Human-Centered Artificial Intelligence (HAI) , and he maintains affiliations with Sarafan ChEM-H and Stanford Data Science .
