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Dr. Luisa Calè is a Professor of Romantic and Nineteenth-Century Literature & Visual Culture and Research Lead at Birkbeck, University of London. She holds degrees from the University of Rome 'La Sapienza' (1993), University of Genoa (1997), and the University of Oxford (M.St. 1998, D.Phil 2002). Her research explores the interplay between literature and visual/material culture, focusing on book history, intermediality, and practices of reading/collecting. Her Leverhulme Trust-funded project 'The Book Unbound' examines how works by Blake, Walpole, and Dickens subverted traditional book formats. Education: PhD in Literary Studies, University of Genoa (1997) D.Phil., University of Oxford (2002) M.St. in English, University of Oxford (1998) Letters Degree, University of Rome (1993) Her research interests include Romantic aesthetics, material texts, and critical disciplinarity. Notable publications include Fuseli’s Milton Gallery (2006) and co-edited volumes like Dante on View (2007). She edits Blake/An Illustrated Quarterly and serves on editorial boards for Word & Image and Romantic Circles Gallery . Recent awards include a Leverhulme Trust Research Fellowship (2019) and a Mercator Fellowship (2018-19). She supervises graduate students in Romantic literature, material culture, and book history.

• Romantic Literature
• Visual Culture
• Material Cultures
• +5 more

Carl Vondrick is a Professor in the Department of Computer Science at Columbia University. His research focuses on creating robust and versatile perception systems that leverage video and interaction with the natural world, with applications in 3D reconstruction, visual question answering, and robot manipulation. Former research scientist at Google Visiting researcher at Cruise Education: PhD (2017) from MIT, advised by Antonio Torralba BS (2011) from UC Irvine, advised by Deva Ramanan His research explores multimodal approaches for cross-task and cross-modal transfer, scene dynamics, audiovisual perception, interpretable models, and spatial awareness systems. The lab emphasizes zero-shot generalization and neuro-symbolic methods while addressing safety and robustness in AI systems. Key publication trends include: 2025: Video generation for robotics 2024: Differentiable rendering and cross-modal reasoning 2023: Robust perception and 3D modeling Scientific Awards: 2024 PAMI Young Researcher Award 2021 NSF CAREER Award Teaching Roles: Teaching Computer Vision II (2021-2025), Computer Vision I (2018-2019), and Representation Learning (2020-2022). Advising: Advises 8 current PhD students and has mentored 5 graduated students now at institutions like MBZUAI and UMD. The lab recruits 1-2 PhD students annually through Columbia’s PhD program. Grants and Collaborations: Funded by NSF, DARPA, Toyota Research Institute, Amazon Research, and Google.

• Computer Vision
• Machine Learning
• Multimodal Perception
• +11 more

Prof. Konrad Schindler holds the position of Full Professor at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. He is also the Head of the Institute of Geodesy and Photogrammetry (IGP), leading research and educational activities in geomatics and computer vision. His career spans roles as a Photogrammetric Engineer, scientific assistant, postdoc researcher, and academic faculty across institutions including Graz University of Technology, Monash University, and TU Darmstadt before joining ETH Zürich in 2010. Education: Undergraduate studies in Geodesy (1992–1995), Graz University of Technology, Austria MEng in Photogrammetry and Geoinformation (1995–1999), Vienna University of Technology, Austria PhD in Computer Science (2001–2003), Graz University of Technology, Austria Research focuses on Photogrammetry , Remote Sensing , Computer Vision , and Image Understanding with interdisciplinary applications in environmental monitoring, geospatial analysis, and disaster response. He develops computational methods for 3D reconstruction, fusion of multi-modal data, and AI-driven solutions for satellite imagery interpretation. His work bridges geomatic engineering and machine learning to address challenges in urban mapping, climate modeling, and biological systems analysis. Publications reflect expertise in geospatial AI, diffusion models, and benchmarking datasets for disaster resilience. Notable works include Marigold (image analysis adaptation) and BRIGHT (building damage assessment). His research emphasizes practicality and scalability, such as affordable depth estimation and global biomass datasets. He has received the 2013 Marr Prize Honourable Mention (IEEE) and the 2012 U.V. Helava Award (ISPRS), alongside several Best Presentation Awards. His contributions span technical leadership, editorial roles (ISPRS Journal), and service to Swiss remote sensing commissions. Advising and grants: While no specific advisee names or grant details are listed, his career trajectory includes mentoring postdocs and junior faculty. He teaches advanced courses in Photogrammetry , Image Interpretation , and Machine Vision , integrating cutting-edge AI techniques into curricula. His research group collaborates on global-scale projects like canopy height mapping and satellite-based climate variable assessments. Labs/Teams: As Institute Head, he oversees the IGP lab at ETH Zürich, with prior affiliations including the Digital Perception Lab (Monash University) and the Computer Vision Lab (ETH Zurich). His work often involves multi-institutional collaborations focused on geospatial AI and environmental science.

• Photogrammetry
• Remote Sensing
• Computer Vision
• +3 more

Vineeth N Balasubramanian is a Professor in the Department of Computer Science & Engineering at the Indian Institute of Technology Hyderabad, with affiliate faculty status in the Department of Artificial Intelligence. His research focuses on the intersection of deep learning, machine learning, and computer vision, emphasizing explainability, robustness, and real-world applications. He leads Lab 1055, which investigates problems such as Explainable and robust AI/ML systems Lifelong learning in evolving environments Multimodal vision-language models Applications in agriculture, autonomous navigation, and human behavior analysis His recent work includes causal reasoning in transformers, vision-language model capabilities, and drone-based object detection. Funded by organizations like Google, Microsoft, Intel, and DST, he has received multiple awards including the World's Top 2% Scientists (2022-23), INSA/INAE Fellowships, and Best Paper recognitions. Lab 1055 collaborates with institutions like CMU, UBC, and Monash University, contributing to cutting-edge advancements in AI.

• Deep Learning
• Machine Learning
• Computer Vision
• +8 more

Adriana Kovashka is an Associate Professor at the University of Pittsburgh , affiliated with the School of Computing and Information and serving as Department Chair . Her academic journey began with BA degrees in Computer Science and Media Studies from Pomona College (2008) and a PhD in Computer Science from The University of Texas at Austin (2014). Joined Pitt’s faculty in January 2015 NSF CAREER awardee (2021) Google Faculty Research Award recipient Dr. Kovashka’s research spans Computer Vision , Machine Learning , and Natural Language Processing , focusing on visual rhetoric, weak multimodal supervision, and domain adaptation. She pioneered techniques for analyzing political imagery, developing robust object detection frameworks, and exploring the intersection of visual and textual persuasion through large-scale annotated datasets. Her recent work emphasizes geographic diversity in vision-language systems, audio-visual fusion for domain generalization, and shape-texture bias mitigation in CNNs. Key publications include groundbreaking studies on symbolic reasoning, multimodal dialogue systems, and ethical AI applications in education. Scientific honors include: NSF CRII Award (2016) NSF CAREER Award (2021) Pitt CRDF Award (2016, 2018) Best Paper at ECV Workshop (2021) Google Faculty Research Award (2016, 2018) Dr. Kovashka actively mentors students in multimodal learning projects and collaborates with interdisciplinary teams on NSF-funded initiatives. She co-organizes workshops like the first CVPR workshop on advertisement understanding and leads research groups exploring human-AI co-learning systems.

• Computer Vision
• Machine Learning
• Natural Language Processing
• +7 more

Byron Yu is a Professor in Electrical & Computer Engineering and Biomedical Engineering at Carnegie Mellon University, with affiliations to the Neuroscience Institute and Robotics Institute. He is a core faculty member of the Center for the Neural Basis of Cognition. Research focuses on computational neuroscience , neural dynamics , and brain-machine interfaces . Key contributions include dimensionality reduction techniques and neural population activity analysis. Recent publications explore topics such as neural dynamics during motor imagery, BCI optimization, and attentional processing. His work has appeared in Nature Neuroscience , Neuron , and eLife , often as cover articles. Awardees include the Gerard G. Elia Career Development Professorship and AIMBE Fellowship . His lab has mentored numerous PhD and postdoctoral researchers, many now in academic and industry leadership roles.

• Computational Neuroscience
• Neural Dynamics
• Motor Control
• +7 more

Jarrod Ray Hore is a Scientia Lecturer in the School of Humanities & Languages at the University of New South Wales (UNSW), Sydney, and Co-Director of the New Earth Histories Research Program. His work explores environmental history, settler colonialism, and the intersections of science, geology, and cultural landscapes. Hore’s research focuses on landscape photography’s role in shaping colonial projects, earthquake geology, and the logistics of the natural history trade. He has published widely in journals like the Pacific Historical Review and Australian Historical Studies, and his award-winning book *Visions of Nature* (2022) examines how photography reinforced settler territoriality. His research interests span environmental history, transnational history, the history of science, and colonial studies. Key areas include the history of settler colonialism in Australia, New Zealand, and North America, as well as the cultural and scientific dimensions of geological exploration. Hore actively supervises HDR and honours students in environmental history, colonial history, and the history of photography. His awards include the Marilyn Lake Prize (2023) and Donna Coates Prize (2022), with shortlist recognitions for prestigious history awards. Beyond academia, he teaches courses like *A House Divided: The Making of Modern America* (ARTS2150), emphasizing U.S. histories of race, class, and global engagement. Hore’s work bridges environmental humanities and colonial studies, analyzing how visual and scientific practices reinforced imperial and settler agendas. His current projects explore the material and logistical networks underpinning natural history collections and the epistemologies of colonial geology.

• Environmental History
• Settler Colonialism
• History of Science
• +3 more

Subhransu Maji is an Associate Professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, and the co-director of the Computer Vision Lab. He is also affiliated with the Center for Data Science and holds a part-time role as an Amazon Scholar. His research focuses on high-level visual recognition algorithms and interdisciplinary applications in ecology and astronomy. He has received prestigious awards including the NSF CAREER Award (2018), Best Paper at WACV 2015, and the Google Graduate Fellowship (2008). Education: PhD in Computer Science from UC Berkeley (2011), BTech from IIT Kanpur (2006). Prior roles include Research Assistant Professor at Toyota Technological Institute at Chicago (2012-2014). Research Interests: Computer Vision Machine Learning AI Applications in Ecology and Astronomy 3D Shape Understanding Climate Science Grants and Funding: Supported by NSF, NASA, Climate Change AI, and industry grants from Facebook, NVIDIA, Adobe, and Dolby. Current projects include satellite imagery analysis for ecology and material science applications using deep learning. Labs and Teams: Leads the Computer Vision Lab, collaborates with interdisciplinary teams on ecological monitoring (e.g., bird migration tracking via radar data) and material property prediction (e.g., zeolite adsorption modeling).

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +5 more

Laurie Shannon is the Franklyn Bliss Snyder Professor of English at Northwestern University, with a J.D. from Harvard Law School and a Ph.D. from the University of Chicago. She studies English literature and culture in the long sixteenth century, focusing on the history of ideas in language, stakeholdership, embodiment, and cross-species relations. She serves as convener of The Anne Lister Society and is collaborating with Oxford University Press on a scholarly edition of Anne Lister’s Journal. Education: J.D., Harvard Law School; Ph.D., University of Chicago Shannon’s research explores the political imagination in early modern literature, particularly through friendship (Sovereign Amity: Figures of Friendship in Shakespearean Contexts) and animal studies (The Accommodated Animal: Cosmopolity in Shakespearean Locales). Her current monograph, 'Frailty’s Name: Shakespeare and the Natural History of Human Being,' examines human negative exceptionalism in Renaissance thought and its implications for climate crisis ethics. Her publications span Shakespeare studies, queer theory, environmental humanities, and textual editing. Notable awards include the Elizabeth Dietz Memorial Award, Robert B. Cox Teaching Award, and Dean’s Award for Graduate Mentoring. She has held NEH, ACLS, and Guggenheim fellowships. Scientific Awards: Elizabeth Dietz Memorial Award, Robert B. Cox Distinguished Undergraduate Teaching Award, Dean's Award for Graduate Mentoring, NEH Fellowship, ACLS Fellowship, Guggenheim Fellowship Shannon contributes to the Anne Lister Diary Transcription Project and has served as English Department Chair at Northwestern. Her recent articles focus on Shakespeare’s engagement with natural history, queer cosmology, and animal sovereignty, reflecting her interdisciplinary approach.

• Early Modern Literature
• Gender & Sexuality Studies
• Environmental Humanities
• +5 more

Prof. Olga Sorkine Hornung is a Full Professor of Computer Science at ETH Zürich, leading the Interactive Geometry Lab. She holds a BSc and PhD from Tel Aviv University (2000 and 2006) and conducted postdoctoral research at Technical University Berlin. Her research focuses on computer graphics, geometric modeling, and geometry processing, with applications in shape editing, digital fabrication, and animation. She has received numerous accolades, including the ACM Fellowship (2020), ERC Consolidator Grant (2020), and the Golden Owl Teaching Award (2021). Her work bridges theoretical foundations and practical algorithms, addressing challenges in parameterization, surface compression, and interactive design tools. Her research interests span: Computer Graphics & Visualization Geometric Modeling & Processing 3D Content Creation & Digital Fabrication Garment Design & Simulation Human Motion Analysis & Animation Awards and grants include: 2024: Best Paper Honorable Mention (EUROGRAPHICS) 2023: Member of Swiss Academy of Engineering Sciences (SATW) 2020: ERC Consolidator Grant 2017: Rössler Prize (ETH Zurich) Her lab focuses on developing novel methods for interactive geometry processing, with recent advancements in garment modeling (e.g., AIpparel, Rags2Riches) and motion retargeting systems like WalkTheDog. She actively collaborates on interdisciplinary projects, including biomedical applications and sustainable fashion technology.

• Computer Graphics
• Geometric Modeling
• Geometry Processing
• +3 more

Dr. Silvia VESCO is an Associate Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice, where she specializes in Japanese art history, particularly Edo-period visual culture, ukiyo-e prints, illustrated books, and the works of Katsushika Hokusai. She is actively involved in research, teaching, and cultural curation, with a strong focus on Italian collections of Japanese art and cross-cultural artistic dialogues between Japan and the West. Education: PhD in History of Indian and East Asian Art, Ca' Foscari University of Venice (1999) Master in Art & Archaeology, SOAS, University of London (1995) Degree in Oriental Languages and Literatures, University of Venice (1993, with honors) Her research interests encompass Japanese aesthetics, museum studies, and the global reception of Japanese art. She has led major digitization projects for the Museum of Oriental Art in Venice and contributed to the development of its new museological framework. Her scholarly work reveals a consistent focus on Hokusai, Edo-period print culture, and the philosophical dimensions of Japanese visual forms. The recent publications highlight a deep engagement with Hokusai’s pedagogical works, the aesthetics of emptiness, and contemporary reflections on nature in post-Fukushima Japan. Her interdisciplinary approach bridges art history, cultural studies, and museum practice. Scientific Recognition: Finalist, Premio Nazionale per la divulgazione scientifica 'Giancarlo Dosi' (2020) Japan Foundation Fellowship (1997) Postgraduate scholarship from the University of Venice (1994) She has supervised numerous MA theses, served on PhD committees, and mentored students in Japanese art history. Her research has been supported by grants from the Japan Foundation and institutional collaborations with museums and cultural centers. She is a referee for VQR, Edizioni Ca' Foscari, and international journals, and serves on the scientific committees of several academic and museum publications. Labs and Teams: Scientific Committee, Museum of Oriental Art, Ca' Pesaro, Venice Scientific Committee, Edizioni Ca' Foscari Coordinator, Scientific Committee for Ca' Foscari Japanese Studies, Arts and Literature Member of the editorial board of 'Venezia Arti' and 'Quaderni del Polo museale del Veneto'

• Japanese Art History
• Edo Period Art
• Ukiyo-e Prints
• +7 more

Laurent Bricault is a Professor of Roman History at the University of Toulouse Jean Jaurès, affiliated with the ERASMUS research team (Reception of Antiquity: Sources, Memory, Issues) under the Heritage, Literature, History (PLH) unit. His academic career spans institutions like the University of Poitiers (Master's 1986), Sorbonne (Doctorate 1994, HDR 2006), and Toulouse (since 2008). He specializes in the history of ancient religions, particularly Egyptian cults in the Roman world, provincial coinage, and Lagid/Roman Egypt. University of Poitiers - Master's in Ancient History (1986) Sorbonne - Doctorate in Egyptology (1994) Sorbonne - Habilitation to Direct Research (2006) Bricault's research explores the diffusion of Isiac cults, religious syncretism, and numismatic evidence for ancient beliefs. His recent publications focus on Mithraic studies, Egyptian deities in the Mediterranean, and domestic religious practices. He organizes international conferences and edits the Bibliotheca Isiaca series, contributing to the understanding of polytheistic traditions. Bricault co-edits the Supplements to the Bibliotheca Isiaca and collaborates on the Roman Provincial Coinage project. He curated the international exhibition Rome and the Mystery of Mithra (2021-2023) and maintains the RICIS online database for Isiac cult inscriptions. His work bridges epigraphy, numismatics, and cultural history to analyze religious networks across the Roman Empire.

• History of Ancient Religions
• Roman Provincial Coinage
• Hellenistic and Roman Egypt
• +3 more

Roles & Affiliations: Manolis Savva is an Associate Professor at Simon Fraser University's School of Computing Science and holds a Canada Research Chair in Computer Graphics. He leads research in 3D scene understanding, with applications in graphics, vision, and robotics. Previously, he was a researcher at Facebook AI and Princeton University. Education: Ph.D. in Computer Science (2016), Stanford University, advised by Pat Hanrahan B.A. in Physics and Computer Science (2009), Cornell University Research Interests: His work focuses on analyzing, organizing, and generating 3D content, particularly for holistic scene understanding. Key areas include articulated objects, embodied AI, and datasets like ScanNet , Matterport3D , and Habitat . His methods drive applications in robotics, autonomous agents, and virtual environments. Publications Trends: Recent work emphasizes generative models (e.g., SINGAPO for articulated object parts), embodied AI benchmarks (Habitat), and multimodal scene analysis. His papers often address challenges in scalability, realism, and cross-modal fusion for 3D environments. Awards: CHCCS Early Career Researcher Award (2022) ICLR 2023 Outstanding Paper Award ICCV 2019 Best Paper Nomination (Habitat) Advising & Grants: Supervised over 15 graduate students, many advancing to top PhD programs and tech companies. Active in grants for embodied AI, scene understanding, and robotics. Labs/Teams: Leads the 3DLG (3D Learning Group) and GrUVi (Graphics and Vision) groups at SFU. Collaborates extensively with industry (e.g., Meta, NVIDIA) on AI-driven 3D research.

• Computer Graphics
• Computer Vision
• Robotics
• +4 more

Barbara Caputo is a Full Professor at Politecnico di Torino, leading the VANDAL Laboratory and directing the AI@PoliTo Interdepartmental Lab. She holds a double affiliation with the Italian Institute of Technology (IIT) and has held roles at Idiap-EPFL and Sapienza University. Her research focuses on AI, computer vision, domain adaptation, and federated learning. She contributes to national AI policy, including the Italian Strategy on AI and the National PhD on AI for Industry 4.0. She is an ERC Laureate and ELLIS Fellow, co-founding ELLIS society. Her work spans visual place recognition, action recognition, and cross-domain learning. Education: PhD in Computer Science from KTH Royal Institute of Technology (2005). Major roles include Rector’s Advisor on AI at PoliTo, Board Member of ELLIS, and coordinator of the AI & Industry 4.0 vertical in the National PhD program. Awards include ERC Laureate (2017), ELLIS Fellow (2019), and Inspiring Fifty Italy (2018). Her research emphasizes federated learning, domain adaptation, and AI ethics. Recent articles explore domain generalization, resource-efficient federated models, and AI-environment interactions. She collaborates with institutions like MUR, CNR, and the European Commission on AI policy and tech initiatives.

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +3 more

Matt King is an Associate Professor and Graduate Director in the Department of History at the University of South Florida (USF), within the College of Arts and Sciences. He specializes in medieval Mediterranean history, digital humanities, and the Crusades era, particularly focusing on Norman-Sicily and Zirid-Ifriqiya relations. King holds a Ph.D. from the University of Minnesota (2018) and teaches courses on medieval history, digital methods, and historical pedagogy. His research explores the interconnectedness of medieval Mediterranean polities, leveraging Arabic and Latin sources alongside digital tools like the Old World Drought Atlas. His first book, Dynasties Intertwined (2022), examines Zirid-Norman relations. He has co-authored translations of al-Idrisi’s geography and is currently researching the historical perception of goblins. Education: Ph.D., University of Minnesota (2018); M.A. (2014), B.A. (2012) in History and Latin. King’s teaching emphasizes active learning and digital humanities, including workshops for K-12 educators. He has received grants totaling over $40,000 for research and community projects. Awards include the Outstanding Graduate Instructor Award (UMN, 2018) and the Subvention Award (USF, 2022). His publications span peer-reviewed journals (e.g., Journal of North African Studies , The History Teacher ) and edited volumes, with a focus on medieval Mediterranean dynamics, digital pedagogy, and environmental history. King advises graduate students in medieval Mediterranean history, emphasizing research in Arabic, Latin, or Greek. He is involved in digital initiatives, including departmental websites and archaeological 3D modeling projects.

• Medieval History
• Crusades Studies
• Digital Humanities
• +3 more