Carlos Jáuregui is Professor of Spanish at the University of Notre Dame, with concurrent appointments in Anthropology and faculty fellowships at the Kellogg Institute for International Studies and Institute of Latino Studies. His research focuses on colonial Latin American cultural studies, biopolitics, and visual culture, bridging literary analysis with historical anthropology. Education includes: Ph.D. Hispanic Languages and Literatures, University of Pittsburgh (2001) Graduate Certificate in Latin American Studies, University of Pittsburgh (2000) M.A. Spanish American Literature, West Virginia University (1997) Law Degree, Universidad Externado de Colombia (1993) Research explores colonial power dynamics through frameworks like biopolitics and postcolonial theory, examining how historical narratives conceal violence while invoking spectral 'returns' of suppressed alterity. Recent work analyzes visual sovereignty in revolutionary iconography (e.g., Emiliano Zapata) and theological justifications of Spanish colonialism. Publications consistently engage with paradoxes of memory, resistance, and representation across 500 years of Latin American cultural production. Awards highlight transnational recognition: 2024 Emiliano Zapata Catedra distinction 2023 Dolores Huerta Book Award Premio Casa de las Américas (2005) Multiple Fulbright and NEH fellowships Advising includes doctoral students now faculty at University of Florida, Concordia College, Carleton College, and Furman University. Current book projects examine colonial renegades in Yucatán and monumental forgetting of Hernán Cortés in Mexico (1524-2024).
Joy Arulraj is an Associate Professor in the School of Computer Science within the College of Computing at Georgia Institute of Technology. His research focuses on data systems, machine learning, and database systems, with a particular emphasis on video analytics and adaptive query processing. He leads the Data Systems and Analytics Group and is developing the EVA AI-Relational Data System. Dr. Arulraj's research interests span data systems, machine learning, database systems, video analytics, and adaptive query processing. His work centers on developing systems that efficiently process complex queries, particularly for video analytics and machine learning workloads. He has made significant contributions to GPU database systems, non-volatile memory database management, and adaptive query processing techniques. His research often bridges the gap between theoretical database principles and practical implementations for modern hardware architectures. His recent publications show a strong trend toward video analytics systems, adaptive query processing for machine learning workloads, and GPU-accelerated database systems. The EVA system represents a major focus of his recent work, providing end-to-end exploratory video analytics capabilities. His research also addresses fundamental database concepts like buffer management, query optimization, and storage management, adapting these principles for modern hardware and application requirements. Dr. Arulraj has advised numerous graduate students including Pramod Chunduri, Gaurav Tarkok Kakkar, Jiashen Cao, and Sayan Sinha. His graduated students have gone on to work at companies like ServiceNow, Meta Research, and the Korean Army. He actively teaches database system courses at Georgia Tech, including Database System Implementation (CS 4420/6422) and Advanced Database System Implementation (CS 4423/6423), where students build database systems from scratch using C++ and the BuzzDB framework. He maintains an active research program with consistent publication output across top database and systems conferences. His work spans from theoretical database principles to practical system implementations, with a recent emphasis on video analytics, machine learning integration with database systems, and leveraging modern hardware like GPUs and non-volatile memory for database applications.
Anocha Aribarg is a Professor of Marketing and Area Chair of Marketing at the Ross School of Business, University of Michigan, with additional faculty affiliation at the Center for Southeast Asian Studies (CSEAS). Her interdisciplinary research bridges psychological theory, consumer behavior, and advanced statistical modeling to address complex marketing challenges. Education: PhD in Marketing, University of Wisconsin, 2004 MBA, University of Wisconsin-Milwaukee, 1998 BS in Statistics, Chulalongkorn University, Thailand, 1994 Research Focus: Prof. Aribarg investigates cognitive processes in consumer decision-making, specializing in individual/joint choice dynamics, product search behaviors, and responses to marketing stimuli. Her methodology integrates Bayesian econometrics with physiological measures (eye tracking, skin conductance) and multi-method experimental designs to uncover hidden decision mechanisms. Publication Trends: Her 14 recent publications (2009-2024) reveal consistent innovation in choice modeling, with increasing emphasis on attention dynamics (2020), moral psychology in aesthetics (2022), and high-frequency service data integration (2023). Work appears predominantly in Marketing Science Journal of Marketing Research, and Psychological Science, demonstrating methodological rigor across consumer behavior, advertising, and service contexts. Academic Service: She serves as Associate Editor for Marketing Science, Journal of Marketing, and Journal of Marketing Research, while contributing to the Journal of Retailing editorial board. Teaching: Prof. Aribarg delivers graduate-level courses in Marketing Research and Analytics and Predictive Analytics at Ross, emphasizing data-driven decision frameworks.
Dhruv Jain is an Assistant Professor in the Computer Science and Engineering Department at the University of Michigan , with affiliations in the School of Information and Michigan Medicine . He leads the Soundability Lab , focusing on transforming hearing into a programmable interface through human-centered AI systems. PhD from University of Washington MS from MIT Media Lab Formerly worked at Microsoft Research, Google, and Apple Research Interests intersect Human-Computer Interaction (HCI) , Audio AI , Accessibility , and Hearing Health . His work develops systems like SoundWatch (smartwatch-based sound awareness) and HomeSound (IoT sound visualization) to expand auditory access for DHH individuals and other domains. Recent Publications (2023–2025) span top venues like CHI , ASSETS , and ICMI , with trends including generative AI for real-time captioning , adaptive soundscapes , and clinical communication tools . SIGCHI Outstanding Dissertation Award (2023) William Chan Memorial Dissertation Award (2023) Best Poster Award at ASSETS 2024 Google Academic Research Award (2024) NIH Grant ($450k, 2023) William Demant Foundation Grant ($740k, 2025) Teaching includes Accessible Computing (undergraduate) and Advanced Accessibility (graduate), alongside global DIY workshops in five countries. The Soundability Lab collaborates with neuroscientists, clinicians, and Deaf scholars to create deployable systems like clinical communication tools now at Michigan Medicine and features integrated into Apple devices.
Clare Harris serves as Professor of Visual Anthropology and Head of the School of Anthropology and Museum Ethnography at the University of Oxford, concurrently holding curatorship of Asian Collections at the Pitt Rivers Museum and a Fellowship at Magdalen College. Her academic leadership spans institutional administration, museum curation, and doctoral supervision within Oxford's anthropological ecosystem. Her educational foundation includes a BA from the University of Cambridge and MA/doctorate from SOAS, University of London. Early career roles comprised Lecturer in Anthropology of Art at the University of East Anglia (1994-1998) before her Oxford appointment. Harris pioneers research at the intersection of visual anthropology, Tibetan studies, and museum decolonization. Her work critically examines Himalayan visual culture, colonial/post-colonial photography, and museum representation politics, evolving toward digital repatriation and community-centered curation. She integrates anthropological fieldwork (conducted in Tibetan diaspora communities since the 1990s) with art historical analysis and archival research. Her 13 recent publications (2004-2022) reveal a progressive trajectory from Tibetan art history toward urgent museum decolonization debates, with consistent focus on photographic practices and cross-cultural representation. Key thematic developments include the shift from historical analysis to active digital repatriation projects and increased engagement with contemporary artists. Harris's accolades include: Fellowship of the British Academy (2019) E. Gene Smith Prize for The Museum on the Roof of the World (2014) Visual Anthropology Prize for In the Image of Tibet (2000) She currently supervises five DPhil students while examining over 25 completed doctorates globally. Research funding spans British Academy personal grants, Leverhulme Trust support, and major collaborative projects including AHRC, Wenner-Gren Foundation, and EU grants—most notably the current AHRC-funded Decolonising the Museum: Digital Repatriation of the Gaidinliu Collection . At the Pitt Rivers Museum, Harris leads high-impact curatorial initiatives including the Abramović collaboration ( Gates and Portals ), Nyema Droma's Performing Tibetan Identities , and community projects like My Tibet Museum , establishing innovative frameworks for museum-public engagement.
Hamed Zamani is an Associate Professor at the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst, where he also serves as Associate Director of the Center for Intelligent Information Retrieval (CIIR). He joined UMass Amherst in 2020 after working as a researcher at Microsoft. His research focuses on designing and evaluating statistical and machine learning models for information access systems, including search engines, recommender systems, and question answering. Education: PhD in Computer Science, University of Massachusetts Amherst MS in Computer Engineering, University of Tehran BS in Computer Engineering, University of Tehran Zamani's current research explores neural information retrieval, conversational search, and retrieval-enhanced machine learning. He develops efficient neural models for core IR tasks and emerging areas like conversational information seeking. His work bridges information retrieval with large language models to enhance capabilities in understanding complex queries and generating relevant responses. His recent publications demonstrate a strong focus on retrieval-augmented generation, personalized information access, and efficient neural ranking models. There's a clear trend toward integrating large language models with information retrieval systems, optimizing multi-agent frameworks, and developing evaluation metrics for generative AI applications in search contexts. Scientific Awards: NSF CAREER Award ACM SIGIR Early Career Excellence in Research & Community Engagement Awards (2023) UMass CICS Outstanding Dissertation Award Paper awards at SIGIR (2022, 2023, 2024), CIKM (2020), ICTIR (2019) Microsoft Research Award (AI and New Future of Work program) Amazon Research Award (Optimization of Retrieval-Enhanced ML Models) Zamani actively advises PhD students and postdoctoral researchers, with his students receiving prestigious awards including NSF Graduate Research Fellowships and SIGIR Best Paper awards. He leads the CIIR Talk Series, hosting IR researchers to share recent findings. His Alexa Prize TaskBot Challenge team was selected for two consecutive years, advancing task-oriented dialogue systems. He directs research at the Center for Intelligent Information Retrieval (CIIR), where he oversees projects in neural retrieval models, conversational AI, and retrieval-augmented generation. The center serves as a hub for developing next-generation information access systems with industry and academic collaborators.
Eero Hyvönen is a Professor of Computer Science at Aalto University and Director of the Helsinki Centre for Digital Humanities (HELDIG) at the University of Helsinki. He leads the Semantic Computing Research Group (SeCo), specializing in Semantic Web technologies and applications. Hyvönen holds an Adjunct Professor title at the University of Helsinki's Department of Computer Science. His work focuses on developing national-level semantic web infrastructure, with applications in digital humanities, cultural heritage, and AI. He has published over 500 research articles and books, receiving numerous awards including the Decoration of Knight, First Class, of the Order of the White Rose of Finland (2018). Hyvönen chairs editorial boards of journals like Semantic Web and serves on committees for major conferences. His research spans semantic web technologies, linked open data, and AI applications in cultural heritage domains. Key projects include Sampo portals (e.g., LetterSampo, OperaSampo) for cultural data analysis, ParliamentSampo for parliamentary data, and FindSampo for archaeological finds. His work emphasizes interdisciplinary collaboration, integrating law, history, and computing through initiatives like FIN-CLARIAH. Hyvönen advises doctoral and master's students, notably Annastiina Ahola and Jouni Tuominen, who have won awards under his supervision. He directs research infrastructures, chairs international boards, and actively contributes to open data policies and standards development.
Roger Luckhurst is Professor of Modern Literature and currently holds the prestigious Geoffrey Tillotson Chair of Nineteenth Century Studies at Birkbeck College, University of London. A leading scholar in Gothic literature, science fiction, and trauma studies, he has been affiliated with Birkbeck for over 25 years, contributing significantly to interdisciplinary literary and cultural studies. Education and Career Trajectory: 2020-present: Geoffrey Tillotson Chair of Nineteenth Century Studies, Birkbeck College 2008-2020: Professor of Modern and Contemporary Literature, Birkbeck College 2004-2008: Senior Lecturer, Birkbeck College 1994-2004: Lecturer, Birkbeck College 1992-1994: Lecturer, University of Hull Research Interests and Scholarly Contributions: Luckhurst's research spans multiple interconnected fields, establishing him as a preeminent voice in literary and cultural studies. His work on late 19th century English literature examines the intersections of Victorian culture with emerging scientific discourses. His expertise in science fiction studies encompasses both literary analysis and cultural theory, exploring how speculative fiction reflects and shapes contemporary anxieties. In Gothic studies , he investigates the persistence of Gothic aesthetics and themes across different media and historical periods. His groundbreaking work in trauma studies has contributed significantly to understanding how literature and culture process collective trauma. Publications and Scholarly Impact: His extensive publication record demonstrates a remarkable breadth of scholarly inquiry. From his early work on J.G. Ballard to his recent comprehensive study of Gothic culture, Luckhurst has consistently produced influential scholarship. His books have been translated into multiple languages including French, Japanese, Turkish, and German, indicating significant international impact. His forthcoming The Gothic: An Illustrated History (2021) promises to be a definitive work in the field. Honors and Awards: 2009: Visiting Research Fellow, University of Birmingham 2009: Visiting Research Fellow, Flemish Academic Centre for Science and the Arts (VLAC), Brussels January-June 2011: AHRC Fellowship, Birkbeck College Spring 2016: Mellon Distinguished Visiting Professor, Department of English, Columbia University, New York Public Engagement and Media Presence: Beyond academia, Luckhurst has demonstrated exceptional commitment to public scholarship. He has served as a broadcaster for BBC radio, bringing literary criticism to wider audiences. His journalism has appeared in leading British newspapers, bridging the gap between academic research and public discourse. This dual role as academic and public intellectual exemplifies Birkbeck's tradition of making scholarship accessible to broader communities. Interdisciplinary Approach and Institutional Contributions: At Birkbeck College, Luckhurst has been instrumental in fostering the institution's renowned culture of interdisciplinary studies. His work seamlessly integrates literary analysis with cultural theory, film studies, architectural history, and scientific discourse. This approach has influenced generations of students and scholars, establishing Birkbeck as a leading center for innovative literary and cultural research.
Dr Maurizio Cinquegrani is a Senior Lecturer in Film and Equity, Diversity and Inclusion Lead at the University of Kent's School of Arts. He holds a PhD from King's College London and has held roles including Head of Film and Media, School Director of Graduate Studies, and Deputy Dean (Student Experience). His research focuses on film's relationship with space, memory, and historical events, particularly the Holocaust and Cold War. He is a Fellow of the Royal Geographical Society (2018-2023). Education: PhD in Film Studies (King's College London, 2010), MA in Contemporary Cinema Cultures (King's College London), BA in Film Studies (University of Bologna). Research interests include cinematic geographies, urban space representation, and documentary film. His notable works include Of Empire and the City: Remapping Early British Cinema (2014), Journey to Poland: Documentary Landscapes of the Holocaust (2018), and Film, Hot War Traces and Cold War Spaces (2022). He has also produced essay films such as Aran Diary (2023) and Formosa 228 (2024). Professional activities include editorial roles for Immagine. Note di Storia del Cinema and AHRC-funded research projects. He supervises doctoral students in film history, documentary cinema, and spatial memory studies. Key awards include the Royal Geographical Society Fellowship. His teaching emphasizes research-led learning and has been influenced by his extensive international collaborations, including visiting roles at Taipei National University of the Arts and Poznań University of Technology.
Steve Chase is a Professor at Carnegie Mellon University , affiliated with the Biomedical Engineering , Electrical and Computer Engineering , Neuroscience Institute , and Robotics Institute departments. His research spans Computational Neuroscience , Neural Engineering , and Systems Neuroscience , with a focus on neural circuits, motor control, and brain-computer interfaces (BCI). Research Areas: Sensation & Perception, Methods Development, Diseases & Disorders, Physiological & Anatomical Methods. Lab Highlights: Development of the RotaWheel, memory trace studies in the motor cortex, and investigations into BCI stabilization and learning dynamics. Scientific Contributions: His lab has published extensively in journals like Neuron , Nature Computational Science , eLife , and PNAS , with notable works on neural activity patterns, dimensionality reduction in calcium imaging, and sensory constraints on motor cortex modulation. Students and postdocs in his lab have received awards, including the CNBC best paper award.
Felicity McArdle is a Professor in the Department of Early Childhood Education within the Faculty of Education at Queensland University of Technology. With a distinguished career spanning over two decades, her work centers on reimagining early childhood pedagogy through critical lenses of social justice, art education, and play-based learning. Her research has significantly influenced Australian early childhood policy and practice. McArdle's research interests demonstrate a consistent commitment to transformative education. She critically examines how art and play function as vehicles for social justice, challenging neoliberal discourses in early childhood education. Her work on refugee children's artistic expression and anti-bias curriculum development reveals her dedication to equity-oriented pedagogy. Through collaborative drawing methodologies and visual research approaches, she has pioneered innovative ways of understanding children's perspectives. Her publication trends reveal a sophisticated evolution from foundational work on visual arts in education (2001-2010) toward increasingly critical examinations of power, policy, and social justice (2011-2021). The consistent citation impact of her work—particularly her 2002 paper 'Early Childhood Art Education: A Palimpsest' with over 13,000 citations—demonstrates her field-defining contributions to reconceptualizing art education as critical praxis. McArdle has held significant editorial roles including co-editing the influential 2013 volume 'Young Children, Pedagogy and the Arts' and serving on the editorial board of Australian Journal of Early Childhood. Her collaborations with leading scholars like Susan Grieshaber, Jennifer Sumsion, and Linda Knight have produced seminal work on intentional teaching and play-based learning. Her research methodology expertise centers on visual and arts-based approaches, particularly collaborative drawing techniques that engage children as active research participants. This methodological innovation reflects her commitment to ethical research practices that honor children's agency while generating meaningful insights about early childhood experiences.
Olga Papaemmanouil is a Professor of Computer Science at Brandeis University and Senior Associate Provost for Academic Affairs and Curriculum. She is affiliated with the Michtom School of Computer Science and the Volen National Center for Complex Systems. Ph.D. in Computer Science, Brown University (2008) M.S. in Information Systems, University of Economics and Business, Athens (2001) B.S. in Computer Science and Informatics, University of Patras, Greece (1999) Her research focuses on data management, integrating machine learning with cloud databases, query optimization, and performance prediction. She has pioneered techniques for interactive data exploration, reinforcement learning in query scheduling, and economic models for database provisioning. Recent publications highlight her work on learned query optimizers , deep reinforcement learning for database operations, and platform-independent neuroscience data interfaces . NSF Career Award (2013) Amazon Research Award (2019) Huawei Innovation Research Awards (2017, 2018) SIGMOD Best Demonstration Award (2015) Paris Kanellakis Fellowship (2002) She has secured multiple NSF grants and developed systems like Neo (learned query optimizer) and XCloud (performance management for cloud data services). Her work bridges database systems and machine learning for scalable data analytics.
Laura Vaughan is Professor of Urban Form and Society and Director of the Space Syntax Lab at The Bartlett School of Architecture, University College London. Her research examines the relationship between urban form and society using space syntax methodologies, addressing critical urban challenges including spatial inequalities, health disparities, poverty, housing, and socioeconomic vitality. She maintains active policy engagement through memberships in the West Yorkshire Scientific Advisory Group and as Chair of the International Space Syntax Executive Committee. Education includes: Doctor of Philosophy, University of London (1995-1999) Master of Science, University of London (1992-1994) Bachelor of Design, Bezalel Academy of Arts and Design (1985-1989) Her research integrates space syntax methodology with urban geography and architecture to analyze how spatial configurations influence social patterns. Key interests include the historical evolution of urban segregation mechanisms, morphological predictors of community vitality, and geospatial determinants of public health outcomes. She maintains cross-disciplinary collaborations spanning public health, history, anthropology, and urban planning. Publication trends show consistent focus on urban morphology's societal impacts, with recent work emphasizing longitudinal health studies, historical cartography, and high street resilience. Methodological innovations include developing individual-level environmental exposure metrics and integrating geospatial analysis with cohort studies. Research consistently demonstrates how spatial configurations mediate social processes across temporal scales. Scientific recognition includes: Fellow of the Royal Geographical Society (elected 2005) Fellow of the Royal Historical Society (elected 2015) As Director of the Space Syntax Lab, she leads research on socio-spatial systems and advises PhD students. She teaches the 'Urban Form and Society' module in the MSc/MRes Space Syntax program, exploring urban design's relationship with crime, health, and inequality. Her pedagogical approach emphasizes integrating research with design practice and historical analysis.
James Glass is a Senior Research Scientist at the Massachusetts Institute of Technology (MIT) and heads the Spoken Language Systems Group within MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). He is also affiliated with the Harvard-MIT Division of Health Sciences and Technology. His research spans automatic speech recognition, multimodal learning, and spoken language understanding, with applications in healthcare and video analysis. Education: SM and PhD in Electrical Engineering and Computer Science from MIT His work focuses on paralinguistic speech analysis, health markers in speech, and the intersection of speech and natural language processing. Recent trends emphasize audio-visual alignment, recursive reasoning, and AI applications in cognitive disorder diagnosis. Scientific awards include IEEE Fellow, ISCA Fellow, and Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence. His group explores unsupervised learning, speaker verification, and social text analysis. James leads the Spoken Language Systems Group at CSAIL, collaborating with institutions like IBM and Harvard-MIT Division of Health Sciences and Technology. His research integrates vision-language models, neural audio codecs, and self-supervised frameworks.
Dr. Lourdes Pena-Castillo is a Professor jointly appointed in the Departments of Computer Science and Biology at Memorial University of Newfoundland's Faculty of Science. Her research focuses on applying machine learning and bioinformatics to study bacterial gene regulation, with emphasis on transcriptomics, gene expression pathways, and microbiology. She leads the Bioinformatics Lab at MUN, developing computational tools like Promotech for promoter prediction and sRNARFTarget for sRNA target identification. Education: BSc in Information Systems Engineering, ITESM-Mexico MSc in Computer Science, University of Alberta PhD in Computer Science (Doktoringenieurin), Otto-von-Guericke Universität Magdeburg Postdoc in Bioinformatics, University of Toronto Research Interests: Bioinformatics, Genomics, Machine Learning, Artificial Intelligence, Transcriptomics, Gene Regulation, Microbiology Her work integrates computational methods with biological data to address challenges in molecular biology, including analyzing bacterial sRNA functions, promoter recognition, and disease diagnostics using machine learning. She has advised numerous graduate students, including PhD candidates Purvikalyan Pallegar and Bonita McCuaig, and MSc students like Ruben Chevez-Guardado and Kratika Naskulwar. Her lab focuses on translational research with applications in both basic science and clinical contexts. Publications span computational methods for bacterial gene regulation, bioinformatics tool development, and interdisciplinary projects in VR and healthcare informatics. Her research has contributed to understanding symbiotic relationships in marine organisms, inflammatory bowel disease diagnostics, and clavulanic acid production in Streptomyces. Grants & Collaborations: Works with interdisciplinary teams across computer science and biology, supported by grants enabling projects in bacterial genomics and computational tool development. Labs & Teams: Leads the Bioinformatics Lab at MUN, fostering collaborations with researchers in microbiology, computer science, and healthcare.
