جست‌وجوی استاد و پژوهشگر

Katy Ilonka Geroمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Creativity
• Writing Assistants
• +۶ مورد دیگر

Katy Ilonka Gero is a Lecturer at the University of Sydney's School of Computer Science, with a PhD in Computer Science from Columbia University (2022). She holds a BSc in Mechanical Engineering from MIT, where she received the Carl G. Sontheimer Prize for Excellence in Innovation and Creativity. Education : BSc (MIT), PhD (Columbia) Her research focuses on Human-Computer Interaction , Creative Writing , and AI Ethics , particularly examining how language models impact writing processes, ownership, and agency. She advocates for community-driven language models trained on consensual data and explores technical innovations for personalized AI tools. Recent publications span language model ethics (Nature Machine Intelligence 2023), generative AI (CHI 2025 Best Paper), and creative collaboration (CHI 2023). Key trends include user-centered AI design , creative ownership , and data ethics . Scientific Awards : NSF Graduate Research Fellowship, Brown Institute for Media Innovation, Amazon Research Award, CHI Best Paper (2025), CHI Honorable Mention (2024) As co-founder of Ensemble Park and former taper editor, she bridges computational poetry and traditional literary practices. Her work at startups Rest Devices and Soofa demonstrates technical innovation in consumer and urban tech.

Charless C. Fowlkesمشاهده پروفایل

استاد

• Computational Vision
• 3D Scene Understanding
• Image Segmentation
• +۷ مورد دیگر

Charless C. Fowlkes is a Professor in the Department of Computer Science at the University of California, Irvine (UCI), and a member of the UCI Vision Group. His research focuses on computational vision, integrating visual recognition with 3D scene understanding and developing tools for biological image analysis. UCI Chancellor's Fellow (2019-2022) NSF CAREER Award recipient (2013) Helmholtz Prize winner (2015) Research Interests His work spans computational vision, image understanding, 3D scene reconstruction, and machine learning applications in biological and forensic domains. He develops methods for automated pollen classification, cardiac tissue analysis, and forensic shoeprint matching. Recent Publications His recent work includes 3D scene reconstruction with epipolar transformers, forensic shoeprint analysis, and image inpainting techniques. These show trends in integrating geometric understanding with deep learning. Scientific Awards Awarded the Marr Prize (2009), Helmholtz Prize (2015), and NSF CAREER Award (2013), he has received recognition for both theoretical and applied contributions to computer vision. Teaching & Advising He has taught graduate and undergraduate courses in computer vision since 2008 and advised numerous PhD, MS, and BS students who now work at institutions like Google, Apple, and CMU. Collaborations He collaborates with labs at UIUC (Punyasena Lab), Harvard (DePace Lab), and UCI (Cinquin Lab, Khine Lab) for biological applications of computer vision.

Lianne Lefsrudمشاهده پروفایل

دانشیار

• Risk Management
• Sustainability
• Organizational Theory
• +۵ مورد دیگر

Lianne Lefsrud serves as Associate Professor and Risk, Innovation, and Sustainability Chair (RISC) in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering. Her interdisciplinary research bridges engineering, social sciences, and policy to transform risk management practices across energy, mining, construction, and railroading industries, directly influencing regulations, building codes, and industry operations for sustainable development. Her academic credentials include: BSc in Civil Engineering (Cooperative Program), University of Alberta (1994) MSc in Interdisciplinary Civil & Environmental Engineering and Sociology, University of Alberta (1996) PhD in Strategic Management and Organization, Alberta School of Business (2014) Dr. Lefsrud's research centers on risk management frameworks for sustainability challenges. She examines hazard identification, social license to operate, and technology adoption drivers in high-hazard industries, with emphasis on prospective risk assessment (e.g., hydrogen infrastructure design) and retrospective analysis (e.g., microplastic pollution impacts). Her work integrates circular economy principles into energy systems while addressing unintended consequences across UN Sustainable Development Goals. Recent publications (2024-2025) demonstrate heavy focus on machine learning applications for rail and construction safety, hydrogen infrastructure risk analysis, and science denial mitigation. Key patterns show cross-industry adaptation of AI for incident prediction, regulatory gap analysis for emerging energy systems, and socio-technical approaches to reconcile sustainability goals with operational realities. Scientific recognition includes: Erb Post-Doctoral Fellowship (University of Michigan) Dow Sustainability Research Fellowship (Ross School of Business) Dr. Lefsrud mentors graduate students through industry-integrated projects like her Sustainable Design course where teams generated patents and city solutions. Her research secures Alberta Innovates funding with 1:4 industrial-to-federal matching, collaborating with Suncor, Transport Canada, and Canadian Standards Association. Grants target practical implementations including railcar inspection systems and hydrogen safety protocols. She co-founded Insight Risk Systems and leads the Lefsrud Lab, prioritizing inclusive teams with under-represented groups (women, Indigenous, LGBTQ2S+, neurodiverse) to tackle 'wicked problems' in sustainability. The lab leverages interdisciplinary partnerships across engineering, computer science, psychology, and environmental sociology for real-world risk management solutions.

• Mixed Methods Research
• Education Science
• Research Methodology
• +۲ مورد دیگر

Judith Schoonenboom is a Professor at the University of Vienna and Deputy Head of the Department of Education. She teaches courses in quantitative and interpretive methodologies, research design, and PhD/master's thesis supervision, including seminars like 'Methodology and Research Design' and 'Quantitative Methodologies in Education Science'. Her academic responsibilities reflect a focus on advanced research methodologies in educational contexts. Schoonenboom's research centers on mixed methods and multimethod approaches in education science, emphasizing methodological innovation, data integration, and theoretical development. Key interests include the interplay between qualitative and quantitative research, design patterns in mixed methods, and strategies for enhancing inferential rigor in social science studies. Her work bridges epistemological frameworks with practical research applications. Her scholarly publications demonstrate a consistent focus on advancing mixed methods research, particularly through innovations in design, integration techniques, and theoretical reflection. Recent works explore causal inference in qualitative research, visualization of methodological interactions, and performative approaches, highlighting trends toward interdisciplinary synthesis and practical methodology refinement.

Qi Yuمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Science
• +۶ مورد دیگر

Qi Yu is a Professor in the School of Information at the Golisano College of Computing and Information Sciences at Rochester Institute of Technology (RIT). He serves as the Graduate Program Director and directs the Machine Learning and Data Intensive Computing Lab. His research focuses on machine learning, deep learning, and data-driven knowledge discovery, particularly in knowledge-rich domains like medicine and bioinformatics. He holds a B.E. from Zhejiang University, an M.E. from the National University of Singapore, and a Ph.D. from Virginia Tech. His work emphasizes interpretable models, multimodal data fusion, and human-in-the-loop learning. He has secured significant grants, including a $500K NSF award and a $1.6M ONR grant, supporting projects on Bayesian learning frameworks and decision-making under uncertainty. His lab actively explores active learning, few-shot learning, and uncertainty quantification. He advises a vibrant group of Ph.D. and MS students and teaches courses such as Data-Driven Knowledge Discovery and Thesis/Project Capstones. Education: B.E., Electrical Engineering, Zhejiang University (2001) M.E., Computer Engineering, National University of Singapore (2003) Ph.D., Computer Science, Virginia Tech (2008) Research Interests: Machine Learning, Deep Learning, Vision-Language Models, Uncertainty Quantification, Active Learning, Multimodal Data Fusion, Bayesian Methods, and Applications in Healthcare and Cybersecurity. Recent Work Trends: His articles emphasize label-efficient learning, interactive systems, and applying ML to complex domains like medical imaging and anomaly detection. Notable projects include Bayesian learning for dynamic decision-making and evidential optimization for robust models. Awards/Grants: NSF IIS Award ($500K, 2018–2023); DoD/ONR Award ($1.6M, 2018–2023); multiple conference recognitions (NeurIPS, ICML, CVPR). Advising spans over 20 students, many securing roles at Amazon, Samsung, and academia. Labs/Teams: Leads the Mining Lab, collaborating on interdisciplinary projects with domain experts in medicine, cybersecurity, and material science.

Fabien Montcherمشاهده پروفایل

دانشیار

• Social History
• History of Ideas
• Political History
• +۷ مورد دیگر

Fabien Montcher is an Associate Professor of History and Director of the Center for Iberian Historical Studies (CIHS) at Saint Louis University. His research focuses on the social history of ideas and politics in early modern Iberian worlds, with interests spanning empire studies, the history of knowledge, and environmental history. He holds a Ph.D. from Universidad Complutense de Madrid (2013) and has held fellowships at institutions including the IAS Princeton and the Huntington Library. Montcher’s work includes Mercenaries of Knowledge (Cambridge UP, 2023), examining the strategies of displaced scholars in early modern politics, and a forthcoming book on citrus diplomacy in early modern empires. His research integrates global and interdisciplinary approaches, blurring lines between humanities and sciences. He teaches courses such as Seeds of Empires: Food and Environmental History and actively fosters collaborations through CIHS, connecting SLU’s St. Louis and Madrid campuses. Awards include the ACLS Fellowship (2017) and the Oliveira Marques Prize (2018). Research Highlights: Bibliopolitics, rhizomatic empires, and the role of citrus in diplomacy. Grants: NEH Institute ‘Global Geographies of Knowledge’ ($200k+, 2023). Labs/Teams: Co-edits Rhizome series on early modern Iberian networks at the Newberry Library.

Sara De Vuystمشاهده پروفایل

استادیار

• Feminist Media Studies
• Queer Media Studies
• Ageing Studies
• +۴ مورد دیگر

Sara De Vuyst is an Assistant Professor of Contemporary Visual Culture at Maastricht University’s Department of Literature and Art within the Faculty of Arts and Social Sciences. Her research focuses on feminist/queer media studies, ageing representations, and gender issues in media/journalism/technology. She previously held postdoctoral appointments at Ghent University (ERC project Later-in-Life Intimacies) and was a Visiting Professor at Vrije Universiteit Brussel. Education: PhD in Communication Studies (Ghent University) Professional Roles: Chair of ECREA’s Gender, Sexuality & Communication section National Coordinator for Global Media Monitoring (Belgium) Research Interests: Her work critically examines age/gender/sexuality intersections in media and art, with a focus on queer feminist resistance and digital spaces. She created the website LILI to challenge societal norms around ageing and identity. Key areas include: Queer ageing narratives Gendered digital journalism practices Feminist critiques of media representations Publications: Authored Hacking Gender and Technology in Journalism (2020), published widely in gender/media studies journals. Engages interdisciplinary methods combining quantitative/qualitative approaches. Advocacy: Actively addresses gender inequalities in media through policy work and educational initiatives. Serves as a thought leader in intersectional digital media ethics.

Shadi Daliliمشاهده پروفایل

دانشیار

• Biologically Active Isatin Derivatives
• Hole Transport Materials (HTMs) for Perovskite Solar Cells
• Augmented Reality in Chemistry Education
• +۳ مورد دیگر

Shadi Dalili is an Associate Professor, Teaching Stream at the University of Toronto's Scarborough (UTSC) campus. He specializes in Chemistry Education and Organic Chemistry research. His roles include teaching undergraduate courses like Organic Chemistry I and mentoring students in directed research projects. Education: BSc, University of Tehran, Iran (1999) MSc, University of Toronto (2001) PhD, University of Toronto (2005) Research Interests: His work focuses on synthesizing biologically active isatin derivatives, developing hole transport materials (HTMs) for Perovskite solar cells, and advancing chemistry education through technologies like augmented reality (AR). Collaborations with Dr. Kagan Kerman and Dr. Meissam Norouzifar address renewable energy materials, while his work with Dr. Maryam Abdinejad led to the ARchemy app, supported by grants from the Centre for Teaching and Learning and ITIF. Publications: Key contributions span AR-based educational tools, organic synthesis methodologies, and drug discovery. Recent work highlights include studies on student perceptions of AR in chemistry and lab skills seminars. Grants & Collaboration: Received $20,000 in grants for ARchemy development and partnered with UofT’s MADlab. Research emphasizes bridging technology and education, with applications in molecular visualization and renewable energy materials. Labs/Teams: Lead the ARchemy project team and collaborates on Perovskite solar cell research, fostering interdisciplinary innovation.

Kevin Pontoمشاهده پروفایل

استادیار

• Virtual Reality (VR)
• Augmented Reality (AR)
• Human Factors Engineering
• +۴ مورد دیگر

Kevin Ponto is an Assistant Professor at the University of Wisconsin, Madison, holding dual affiliations with the Department of Industrial and Systems Engineering and the Living Environments Lab. His work bridges engineering, design, and digital humanities, focusing on virtual and augmented reality technologies for education, healthcare, and cultural heritage preservation. Ponto earned his B.S. in Computer Engineering from UW-Madison, followed by an M.S. and Ph.D. in interdisciplinary fields from UC Irvine and UC San Diego, respectively. His research interests include immersive visualization systems, AR/VR interfaces for accessibility, and embodied learning experiences. Notable projects include the Augmented Reality Home Assessment Tool (ARHAT) for home safety evaluations and Waddle , a VR empathy project simulating the life of an Adélie penguin. Ponto has collaborated on interdisciplinary initiatives such as the Center of Interdisciplinary Science for Art, Architecture and Archaeology (UCSD) and the Computation and Informatics in Biology and Medicine program. He explores spatiotemporal gait analysis in virtual environments, low-cost immersive display systems, and the usability of AR tools in healthcare and emergency response. His work emphasizes translating cutting-edge VR/AR technologies into practical applications for education, rehabilitation, and cultural preservation. Ponto actively publishes in journals and conferences covering human factors, computer graphics, and digital humanities, contributing to both theoretical and applied research in immersive technologies.

• Rhetoric
• Composition Studies
• Political Science
• +۳ مورد دیگر

Ira Allen is an Associate Professor in the Department of English at Northern Arizona University. His research focuses on rhetorical theory, ethics, and the intersections of fantasy, democracy, and environmental studies. He explores themes such as humanism, posthumanism, and climate change through a lens informed by philosophy, political science, and literary analysis. Key research areas include the ethical negotiation of fantastical selves, the role of rhetoric in contemporary political discourse, and the philosophical underpinnings of democratic practices. His work often bridges classical theories (e.g., Perelman, Arendt) with modern challenges like climate anxiety and degrowth economics. Allen’s publications span peer-reviewed articles in College Composition and Communication , book chapters in collections like The Routledge Handbook of Rhetoric and Power , and monographs such as The Ethical Fantasy of Rhetorical Theory . His interdisciplinary approach engages topics as diverse as activity systems in political science, the aesthetics of Dionysian myth, and rhetorical strategies for addressing ecological crises.

Robert J Brunnerمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Statistical Analysis
• +۳ مورد دیگر

Robert J. Brunner is a Professor at the University of Illinois with primary appointments in the Gies College of Business (Department of Accountancy) and the School of Information Sciences. He holds affiliate roles across multiple departments including Astronomy, Computer Science, and Statistics, as well as research centers like the Beckman Institute and NCSA. His research focuses on applying statistical/machine learning to solve complex problems in astronomy, finance, and large-scale data science. Education: Ph.D. in Astrophysics from Johns Hopkins University (advisor: Alex Szalay). Postdoctoral work at Caltech on the Digital Sky project. Research Interests: Machine learning applications, computational techniques, data management/visualization, and observational cosmology. His work bridges astrophysical data analysis with modern data science methodologies. Recent work includes developing spatio-temporal neural networks for forecasting, evaluating AI-driven financial analysis tools, and planning for the Vera C. Rubin Observatory. He collaborates internationally on large-scale surveys like the Dark Energy Survey and SDSS. Labs/Teams: Leads data science initiatives at the University of Illinois Research Park. Active in interdisciplinary teams at NCSA and Beckman Institute focusing on algorithm optimization and data-intensive research.

L.M. Bogadمشاهده پروفایل

استاد

• Political Performance
• Social Justice Activism
• Theatre and Dance
• +۳ مورد دیگر

Professor L.M. Bogad is a prominent figure in political performance at the University of California, Davis, serving as Professor of Theatre & Dance and Director of the Center for Tactical Performance. A Guggenheim Fellow and co-founder of the Clown Army, his work integrates performance art with activism, addressing themes like labor rights, climate justice, and social movements. He has performed globally, including at SF MOMA and the Hemispheric Institute, and led workshops in over 20 countries, notably during Egypt’s 2011 revolution. His research focuses on tactical performance strategies, documented in seminal works like *Electoral Guerrilla Theatre* (2020), *Tactical Performance* (2013), and *Performing Truth* (2021). He has secured major grants, including the $150,000 Creative Work Fund/San Francisco Foundation Creative Corps Grant (2023) for *Sinfonia de la Justica*, a farmworker-led performance project. Awards include the Rockefeller Foundation Bellagio Residency (2025) and a Wolfsonian Creative Fellowship (2025) to adapt his screenplay *Orwell’s War* into a play. Bogad’s projects often collaborate with nonprofits, such as North Bay Jobs With Justice. His work spans performances like *ECONOMUSIC* (musicalizing economic data) and *Delivering Democracy* (engaging voters via public art). He chairs UC Davis’ Theatre & Dance department and hosts the *Plague* podcast on societal crises. His contributions bridge art and activism, emphasizing humor and radical memory to challenge power structures.

• Neural control of movement
• Infant development
• Motor control
• +۵ مورد دیگر

Beth Smith, PT, DPT, PhD is an Associate Professor of Pediatrics and Biokinesiology & Physical Therapy at the University of Southern California. She directs the Infant Neuromotor Control Laboratory, where she leads research on neural control of movement during infancy and develops interventions for infants with or at risk for developmental delay. Dr. Smith's research focuses on several critical areas in pediatric development: Neural mechanisms underlying infant motor development Application of wearable sensor technology for objective movement measurement Early identification of developmental delays through quantitative analysis Evaluation of intervention effectiveness for at-risk infants Cross-cultural studies of infant development in diverse settings including rural Guatemala Her work demonstrates a strong integration of technology and clinical practice, with recent publications highlighting innovative approaches to measuring infant movement in natural environments. Dr. Smith's research on algorithmic detection of developmental disabilities using wearable sensors represents a significant advancement in early identification methods. Her studies on telehealth administration of developmental assessments have gained particular relevance following the COVID-19 pandemic, potentially expanding access to early intervention services globally. As director of the Infant Neuromotor Control Laboratory, Dr. Smith oversees a research program that bridges neuroscience, engineering, and clinical practice to improve outcomes for infants with developmental challenges. Her work has important implications for developing evidence-based interventions that can be implemented across diverse healthcare settings.

• Robotics
• Machine Learning
• Reinforcement Learning
• +۳ مورد دیگر

Pawel Ladosz is a Lecturer in Engineering Systems for Robotics at the Department of Mechanical and Aerospace Engineering, The University of Manchester. His research focuses on applying machine learning and computer vision to mobile robots, particularly in extreme environments such as total darkness or cluttered spaces. He is actively involved in developing autonomous navigation systems, wireless signal mapping, and high-level decision-making for robotic swarms. He teaches courses including Robotic Systems Design Project and Autonomous Mobile Robots. Education: PhD in Establishing and Optimising Unmanned Airborne Relay Networks (Loughborough University, 2014–2019) MEng in Aerospace Engineering (The University of Manchester, 2010–2014) Research Interests: Ladosz’s work emphasizes reinforcement learning for robotics, vision-based autonomous systems, and exploration in challenging environments. His projects often intersect with UN Sustainable Development Goals, contributing to innovations in robotic autonomy and sensor networks. Awards: He received the 2nd Autonomous Flying Technology Competition award in 2021, recognizing his contributions to autonomous flight systems. His research has also led to the establishment of the Centre for Robotic Autonomy in Demanding and Long-Lasting Environments (CRADLE), fostering cross-disciplinary collaborations. Grants & Projects: As Principal Investigator in the Aerospace Engineering initiative (2010–2035), he explores UAV communication networks and trajectory planning. His work addresses urban environment challenges, including relay positioning and signal prediction. Labs/Teams: Ladosz contributes to CRADLE, advancing robotic autonomy in extreme scenarios. His lab focuses on integrating AI and robotics for real-world applications.

Min Liuمشاهده پروفایل

استاد

• Lean Construction
• Digital Twin Design
• Data Mining
• +۵ مورد دیگر

Dr. Min Liu is a Professor and the Abdallah H. Yabroudi Endowed Professor in Sustainable Civil Infrastructure at Syracuse University, where she directs the Syracuse University Infrastructure Institute. She holds a Ph.D. in Engineering Project Management from UC Berkeley, and prior degrees from National University of Singapore and Xi’an University of Architecture and Technology. Her research focuses on integrating human and engineering aspects in construction planning, with emphasis on Lean Construction, Digital Twin design, and machine learning applications. She has published over 50 articles in top-tier journals and won prestigious awards such as the 2021 ASCE Thomas Fitch Rowland Award. Dr. Liu advises numerous graduate students and postdocs, offering positions in Construction Engineering and Management. Her lab develops innovative approaches for infrastructure project delivery, worker mental health, and bridge preservation strategies. Education: Ph.D. in Engineering Project Management, UC Berkeley (2007) MSCE, Xi’an University of Architecture and Technology (1997) MSc in Building Science, National University of Singapore (2001) BSc in Civil Engineering, Qingdao University of Technology (1994) Research Highlights: Large language models for construction planning reliability Ontology-based knowledge systems for construction methods Lean techniques for worker mental health improvement Socioeconomic analysis of bridge preservation strategies Awards: 2021 ASCE Thomas Fitch Rowland Award Multiple Best Paper Awards (2017-2018) "Thank a Teacher" awards (2011-2018) Her advising record includes notable students like Chuanni He (2023 Chinese Government Award) and Gongfan Chen (2022 Three-Minute Thesis Award). Current opportunities include Ph.D. financial support and postdoc positions. Dr. Liu’s work appears in journals like ASCE Journal of Management in Engineering and Engineering, Construction and Architectural Management.