جست‌وجوی استاد و پژوهشگر

Maarten Goosمشاهده پروفایل

استاد

• Labor Economics
• Technological Change
• Economic Inequality
• +۷ مورد دیگر

Maarten Goos is a Full Professor of Economics and Institutions at Utrecht University's Faculty of Law, Economics and Governance. He previously held positions at Erasmus University Rotterdam, University College London, KU Leuven, and had visiting roles at Princeton University, MIT, Boston University, and Fudan University. His research focuses on labor markets, technological progress, wage inequality, and institutional impacts. He is also an award-winning teacher, specializing in European macroeconomics, economic growth, and labor economics. Education: He earned his PhD from the London School of Economics (LSE). His academic journey includes roles at multiple prestigious institutions, reflecting deep expertise in labor and technological economics. Research interests include the interplay between technology and labor markets, specifically automation's effects on employment, wage polarization, and the role of institutions in shaping labor dynamics. He examines how skill-biased technological changes and globalization influence job structures and income distribution. His work also addresses the declining labor share in economies, exploring explanations rooted in firm behavior and productivity shifts. He collaborates with the European Commission, national policy institutes, and multinational corporations, contributing to policy initiatives and economic analyses. His research bridges theoretical models with empirical evidence, offering frameworks like the canonical CES model and task-based automation theories to dissect labor market trends. Though no specific awards are listed, his work is noted as award-winning in international publications. Advising/Grants: Goos has advised various organizations and contributed to policy projects, though formal advisee names or grant details are not explicitly stated. His teaching and research emphasize practical implications of economic theories for real-world labor market challenges and institutional reforms. Labs/Teams: Collaborates within Utrecht University's School of Economics and with external networks through European Commission projects and corporate partnerships.

Christine Drewمشاهده پروفایل

استادیار

• Behavior Analysis
• Special Education
• Intellectual and Developmental Disabilities (IDD)
• +۶ مورد دیگر

Dr. Christine Drew serves as Assistant Professor in Auburn University's College of Education within the Department of Special Education, Rehabilitation, and Counseling. She coordinates the Graduate Transition Certificate Program and advises the EAGLES Program, leveraging her expertise in behavior analysis for intellectual and developmental disabilities. Her academic foundation includes a Ph.D. from the University of Oregon, M.Ed. in Special Education from Texas State University, and B.A. in Economics from the University of Texas. Educational background: Ph.D. in Special Education from University of Oregon M.Ed. in Special Education with Applied Behavior Analysis concentration from Texas State University B.A. in Economics with minor in secondary social studies education from University of Texas Dr. Drew's research pioneers intersections of behavior analysis, sexuality education, and IDD support through parent collaboration. Her work advances telehealth interventions for challenging behavior and inclusive practices for neurodiverse populations, with growing emphasis on social justice dimensions like LGBTQIA+ inclusion and racial equity in autism services. Methodologically, she integrates single-case designs with community-based participatory approaches to address systemic barriers. Analysis of her 2021-2025 publications reveals three dominant trajectories: (1) Practical skill-building interventions for daily living and menstrual health, (2) Telehealth adaptations for family-implemented behavior support across generations, and (3) Critical examinations of equity gaps in disability research and incarceration systems. Her scholarly impact extends through editorial contributions to the Journal of Positive Behavior Interventions . Professional recognition includes Board Certified Behavior Analyst-Doctoral (BCBA-D) status achieved in 2019, though no formal scientific awards are documented. Her editorial board service demonstrates peer acknowledgment of expertise. As EAGLES Program Faculty Research Advisor, Dr. Drew mentors transition-focused projects while coordinating graduate certificate training. Her telehealth research during the pandemic suggests NIH or IES grant involvement, though specific funding isn't detailed. Current work emphasizes sustainable activism models for behavior analysts. Dr. Drew leads Auburn's EAGLES Program research initiatives, developing inclusive higher education frameworks for students with IDD. Her telehealth case studies involve multi-stakeholder teams including grandparents, parents, and school personnel, reflecting her commitment to ecological intervention approaches.

Indranil Guptaمشاهده پروفایل

استاد

• Distributed Systems
• Cloud Computing
• IoT/Edge Systems
• +۴ مورد دیگر

Prof. Indranil Gupta (Indy) is a Professor of Computer Science at the University of Illinois at Urbana-Champaign, affiliated with the Beckman Institute and ECE department. His research focuses on distributed systems, including cloud computing, IoT, and machine learning systems. He leads the Distributed Protocols Research Group (DPRG) and collaborates with industry to improve production systems. Indy is an IEEE Fellow, ACM Distinguished Scientist, and recipient of the NSF CAREER Award and multiple Best Paper Awards. Education: PhD in Computer Science from Cornell University (2004), B.Tech from IIT Madras (1998). Industry experience includes roles at Google, Microsoft Research, and IBM Research. Teaching: Teaches CS 425 (Distributed Systems), CS 525 (Advanced Distributed Systems), and a Coursera MOOC with 250K+ enrollments. Known for innovative teaching methods, including music-based CS education. Awards: Over a dozen awards including Best Paper recognitions at IC2E, CCGrid, and ICAC. His students have won NSF Fellowships, Rising Stars in EECS, and Microsoft Dissertation Grants. Service: Served as General Chair of ACM PODC 2007, PC co-chair for multiple conferences, and editorial board member for IEEE TCC and ACM TAAS. Hosts the podcast 'Immigrant Computer Scientists.' Research Impact: Contributions include fault-tolerant protocols (e.g., Zeno, SWIM), distributed ML systems, and cloud resource management techniques used by major tech companies.

Andreas Stadlbauerمشاهده پروفایل

استاد مدعو

• Biomedical Imaging
• Medical Physics
• Artificial Intelligence in Medicine
• +۷ مورد دیگر

Prof. Dr. Andreas Stadlbauer is a medical physicist affiliated with the Clinical Institute for Diagnostic and Interventional Radiology at St. Pölten University Hospital and the Department of Neurosurgery at Friedrich-Alexander University Erlangen-Nuremberg. He holds an adjunct professorship at the University of Erlangen-Nuremberg and contributes to both clinical and academic research in biomedical imaging and AI applications in oncology. University: Friedrich-Alexander University Erlangen-Nuremberg Hospital Affiliation: St. Pölten University Hospital Department: Department of Neurosurgery Academic Rank: Adjunct Professor His research focuses on advanced MRI techniques, particularly physio-metabolic imaging of brain tumors, oxygen metabolism, and the integration of artificial intelligence in clinical diagnostics. He has led research on glioma classification, tumor microenvironment characterization, and deep learning models for radiomic analysis. The recent publications highlight a strong trend toward AI-driven diagnostic tools in neuro-oncology, particularly in differentiating glioblastomas from metastases and predicting genetic mutations using machine learning. His work emphasizes the clinical translation of complex imaging data into actionable insights. Artificial Intelligence in Oncology Medical Imaging and Radiomics Brain Tumor Metabolism Deep Learning for MRI Analysis Oxygen Metabolism Imaging Clinical Decision Support Systems Prof. Stadlbauer has been involved in seed-funded research projects developing deep learning algorithms for clinical integration. He collaborates extensively with neurosurgeons, radiologists, and oncologists across institutions, contributing to multidisciplinary tumor boards and translational research initiatives. He completed his doctorate in medical physics in 2004, habilitation in 2008, and an MBA in Health Management in 2010. His academic journey reflects a blend of technical expertise and leadership in healthcare innovation.

Claudine Gartenbergمشاهده پروفایل

دانشیار

• corporate strategy
• organizational strategy
• firm scope
• +۴ مورد دیگر

Claudine Gartenberg is an Associate Professor of Management at the Wharton School, University of Pennsylvania , with additional affiliations as a Research Fellow at the Centre for Economic Policy Research (CEPR) and Associated Faculty at Penn’s Institute of Law and Economics . Her research bridges corporate strategy, organizational behavior, and compensation equity . Education: D.B.A. and M.B.A. from Harvard Business School (Baker Scholar, Wyss Award) B.A. in Physics with honors from Harvard College Research Focus: Corporate purpose, employee compensation, organizational performance, and ownership effects. She examines how governance structures and incentive systems influence innovation, market alignment, and social dynamics within firms. Article Trends: Recent work analyzes ownership types (private equity/hedge funds), pay benchmarking , and boundary changes through acquisitions. Studies leverage big data (19M employee records) and theoretical frameworks from economics, political theory, and sociology. Scientific Awards: Wyss Award for Doctoral Research Baker Scholar (top 5%) Wharton Teaching Excellence Awards Iron Prof Teaching Competition Finalist Glueck Best Paper Award Grants & Editorial Roles: Senior Editor at Organization Science and Strategy Science , former Associate Editor at Management Science . Collaborates with industry leaders and media outlets (Harvard Business Review, NY Times).

• Organizational Theory
• Management Studies
• Leadership
• +۳ مورد دیگر

Marco Berti is a Full Professor at NOVA University Lisbon’s NOVA School of Business and Economics. Previously, he held roles including Associate and Assistant Professor at the University of Technology Sydney (Australia). His career spans over two decades, with a PhD in Business Studies (University of Technology Sydney, 2015) and a Laurea Magistrale in Political Science from the University of Bologna (Italy). Berti specializes in organizational paradox, leadership, and management theory, with notable contributions to understanding contradictions in healthcare, crisis management, and compassionate leadership. His research emphasizes paradoxical tensions in organizations, particularly through frameworks like the 'both-and approach' and 'dark side of paradoxes.' He has co-authored influential books such as Paradoxes of Power and Leadership (2021), which won the EURAM Best Book Award. His work bridges theory and practice, addressing topics like pandemic responses, hybrid organizational models, and the role of art in management education. Berti’s publications span top journals including Journal of Management Studies , Academy of Management Review , and British Journal of Health Care Management . He actively reviews for journals like Management Learning and International Journal of Management Reviews . His research has been recognized through awards from EURAM (2021 and 2020). Key Research Themes: Organizational paradox, compassionate leadership, crisis management, power dynamics, and hybrid organizations. Recent Contributions: Leading studies on healthcare reform paradoxes, pandemic improvisation strategies, and the application of paradox theory to business education. Berti’s advising spans multiple disciplines, with supervision of over 30 Master’s and PhD students focusing on expatriation risks, curiosity in leadership, and organizational sustainability. He also participates in academic committees, including jury roles for Master’s theses at NOVA and international institutions like Roskilde University.

Franz Castroمشاهده پروفایل

پژوهشگر

• Public Health
• Disability Studies
• Health Disparities
• +۳ مورد دیگر

Franz Castro is a Research Associate at the Johns Hopkins Disability Health Research Center , focusing on quantitative methods to address health disparities among people with disabilities, particularly intersecting with race/ethnicity and socioeconomic factors. He holds an MD from the University of Panama, an MSc from Johns Hopkins, and an MPH in Quantitative Methods from Harvard T.H. Chan School of Public Health. His research spans health equity , social determinants of health , and global burden of disease studies , with recent work analyzing disability disparities in STEM, vaccination rates, and child mortality. Key publications examine geographic inequalities in sanitation, education, and disease prevalence across low- and middle-income countries. Scientific Awards: 2020 Presidential Scholar (Harvard University) 2018 New Voices in Global Health Winner (World Health Summit) 2017 WHO Alliance for Health Policy Essay Competition Runner-up 2016 French Young Ambassador for Human Rights Dr. Castro's work bridges public health, epidemiology, and policy analysis, with affiliations to major research networks like the Global Burden of Disease (GBD) Study and Local Burden of Disease (LBD) Collaborators.

Pavle Zagorscakمشاهده پروفایل

پژوهشگر

• Clinical Psychology
• Health Psychology
• Cyberbullying Prevention
• +۷ مورد دیگر

Dr. Pavle Zagorscak is a Researcher at the Division of Clinical Psychological Intervention , Freie Universität Berlin, focusing on Internet-based interventions , depression , and cyberbullying prevention . He has extensive experience in digital mental health , psychopathology , and psychotherapy research . Doctorate in Psychology (2019), Freie Universität Berlin Master of Science in Psychology (Clinical & Health Psychology) (2013) Bachelor of Science in Psychologie (2010) His research spans personalization of online therapy components , symptom dynamics , and social factors in mental health . Recent work includes digital phenotyping and non-response prediction in CBT. He contributes to transdiagnostic models and symptom-oriented psychopathology through advanced statistical approaches like bifactor-(S-1) modeling. Publications highlight trends in online intervention efficacy , personalized treatment , and human support mechanisms . Key collaborations include projects with University Hospital Ulm and international teams in Greece (University of Crete, Aristoteles University Thessaloniki) through DAAD initiatives. Scientific Awards : Ernst-Reuter-Preis (2020, 5000€) for doctoral work Performance bonuses from BMFSFJ (2021: 1000€, 2020: 600€) Multiple teaching awards (2015, 2016) European Crime Prevention Award (2015) He also contributes to workshops on digital psychotherapy and has developed international collaborations, including a visiting researcher role in Peru (2025). His work integrates scientific rigor with practical applications in real-world mental health settings.

Annachiara Longoniمشاهده پروفایل

دانشیار

• Sustainable Operations Management
• Supply Chain Management
• Sustainability Innovation
• +۳ مورد دیگر

Annachiara Longoni serves as Associate Professor in the Department of Operations, Innovation and Data Sciences at Esade Business School, Ramon Llull University. She directs the Master of Research in Management Sciences program and leads BUNED (Business Networks Dynamics), focusing on sustainability-driven innovation in operations and supply chains. Education: PhD in Management, Economics and Industrial Engineering, Politecnico di Milano Master of Science in Management Engineering, Politecnico di Milano Bachelor degree in Management Engineering, Politecnico di Milano Her research centers on sustainable operations management, examining how sustainability practices transform product/process innovation within global supply chains. She investigates organizational mechanisms for optimizing triple bottom line performance through sustainable operations strategies, with particular emphasis on social sustainability dimensions including labor conditions and migrant integration in supply networks. Her work bridges theoretical frameworks with practical applications in manufacturing and logistics contexts. Analysis of her 15 most recent publications reveals dominant themes in sustainable supply chain management, social enterprise integration, and systemic change toward post-growth paradigms. Key trends include empirical investigations of working conditions in platform economies, the role of national culture in sustainability performance, and technological impacts on sustainable manufacturing. Her research consistently employs large-scale empirical methods and international collaboration networks. Scientific Awards: None documented in source materials. Dr. Longoni actively mentors through her directorship of the Master of Research program and BUNED research group. She collaborates extensively with the International Manufacturing Strategies Survey (IMSS) across 20+ countries and the USC-led sustainability network involving European and American institutions. Her research is supported through multinational university-industry partnerships focused on sustainable operations. As Director of BUNED, she leads research on business network dynamics and sustainable supply chain transformation. Her involvement in the EurOMA Forum organizing committee and international research networks demonstrates leadership in advancing sustainable operations scholarship through collaborative platforms spanning academic and industry stakeholders.

Maria Argyriouمشاهده پروفایل

مدرس

• Music Education
• Cultural Policy
• Early Childhood Education
• +۴ مورد دیگر

Maria Argyriou is an Associate Lecturer for Applied Music Preschool Education in the Department of Preschool Education & Educational Design at the School of Humanities, University of the Aegean (Rhodes, Greece). She holds a postdoctoral degree in Practical Aspects and Praxial Philosophy of Music Education from the same institution, a PhD in Music Studies from Ionian University specializing in cultural policy and music education, and two Master's degrees in Education from The Open University of Greece. PhD: Department of Music Studies, Ionian University (specializing in cultural policy and music education) Postdoctoral Degree: Practical Aspects and Praxial Philosophy of Music Education, University of the Aegean Master of Education: The Open University of Greece Second Master in Education: Specialization in education leadership and school unit assessment Argyriou's research focuses on the intersection of music education, cultural policy, and early childhood development. Her work explores praxial philosophy in music education, interdisciplinary connections between music and other subjects (particularly language and mathematics), and innovative approaches to music teaching in preschool settings. She has developed significant contributions to understanding how music can serve as a tool for cognitive development, emotional expression, and cultural citizenship in young children. Her recent publications demonstrate a clear trend toward multimodal and technology-enhanced music education approaches, with increasing focus on praxial philosophy applications in digital learning environments. Her work consistently bridges theoretical frameworks with practical classroom applications, particularly in early childhood settings. Scientific Awards: Kiveli-Y. Horn scholarships/Special Grants 2024 for archival research at The Music Library of Greece—Lilian Voudouri Argyriou actively participates in multiple professional organizations including the International Society of Music Education (member of SIG Practice and Research Group in Integrated Music Education, PRIME), European Music Council (EMC), European Association for Music in School (EAS), and serves as chairperson of the Greek Association of Primary Music Education Teachers (GAPMET). She has made significant contributions to educational materials as author of official Greek Music Education textbooks for School-Age 6-8 and as editor for multiple academic journals. She co-edits the open-access 'Hellenic Journal of Music, Education, and Culture' (HeJMEC) and serves as editor for the open-access journal 'Music in the First Grade' published by her department. Her current research focuses on archival work with children's songs from the Minos Dounias collection at The Music Library of Greece.

Martin Hebartمشاهده پروفایل

استاد

• Visual Perception
• Computational Cognitive Neuroscience
• Quantitative Psychiatry
• +۵ مورد دیگر

Martin Hebart is a Professor for Computational Cognitive Neuroscience and Quantitative Psychiatry at Justus Liebig University Giessen and an Independent Max Planck Research Group Leader at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. His work bridges cognitive neuroscience, computer science, and psychology to explore visual perception, object recognition, and computational models of brain function. PhD in Psychology from Bernstein Center for Computational Neuroscience Berlin (2014) M.Sc. and B.Sc. in Neuro-cognitive Psychology from Ludwig Maximilian University Munich His research integrates psychophysics , neuroimaging (fMRI, MEG), and machine learning to decode how visual input transforms into stable object representations and how these insights inform psychiatric conditions like hallucinations. Articles highlight his focus on computational models , neural network alignment , and large-scale behavioral-neuroimaging datasets (e.g., THINGS-data). His group’s work spans from basic visual cognition to translational applications in psychiatry. Scientific awards include postdoctoral fellowships from the National Institute of Mental Health (2016) and Alexander von Humboldt Foundation (Feodor Lynen, 2016), alongside doctoral and study scholarships. He leads a multidisciplinary team at the intersection of JLU Giessen’s Medical Department and MPI, mentoring students in visual neuroscience , AI-driven modeling , and clinical applications .

Hafiz Oyediranمشاهده پروفایل

مدرس

• Construction Robotics
• Human Robot Interaction
• Building Information Modeling (BIM)
• +۳ مورد دیگر

Hafiz Oyediran is a Lecturer in the Department of Civil and Environmental Engineering at the University of New Haven's Tagliatela College of Engineering. He joined the faculty in Fall 2024 with expertise in Construction Automation and Robotics. His professional background includes roles as a structural engineer-in-training, site supervisor, and project manager. Education: Ph.D. Engineering (Major: Construction Engineering and Management, Minor: Computer Science), University of Nebraska-Lincoln (USA) M.Sc. Construction Management, University of Lagos (Nigeria) B.Sc. Building, University of Lagos (Nigeria) HND Civil Engineering Technology, Lagos State Polytechnic (Nigeria) Research Interests: Dr. Oyediran focuses on Construction Robotics, Human-Robot Interaction, Building Information Modeling (BIM), and applications of Virtual/Augmented/Mixed Reality in construction. His work emphasizes automation, safety, and technology integration in construction environments. Publications: His recent work includes studies on 4D BIM integration with robotics, autonomous systems for construction safety, and generative AI in architecture/engineering/construction (AEC). His 2024 papers emphasize robot task planning and simulation workflows in construction contexts. Professional Involvement: As co-founder and director of the BIM Africa Initiative, he advocates for BIM adoption across Africa, bridging technology gaps in regional construction practices.

• Human Factors
• Human-Computer Interaction
• Cognitive Science
• +۵ مورد دیگر

Michael D. Byrne is a Professor in both the Department of Psychological Sciences and the Department of Computer Science at Rice University. His interdisciplinary work bridges cognitive psychology, human-computer interaction, and computational modeling. Ph.D. in Experimental Psychology, Georgia Institute of Technology, 1996 M.S. in Computer Science, Georgia Institute of Technology, 1995 M.S. in Experimental Psychology, Georgia Institute of Technology, 1993 B.S. in Engineering (Magna Cum Laude), University of Michigan, 1991 B.A. in Psychology (High Distinction), University of Michigan, 1991 Byrne's research focuses on human factors and human-computer interaction, with particular emphasis on cognitive modeling, visual attention, decision-making, and human performance modeling. His work applies computational cognitive architectures like ACT-R to understand human behavior in complex interactive systems. He has made significant contributions to understanding procedural errors, visual search behavior, and usability of complex systems including voting technologies. His interdisciplinary approach combines rigorous experimental methods with sophisticated computational modeling techniques to predict and explain human performance. His recent publications reveal a strong focus on human error prevention, particularly in routine procedural tasks and voting systems. The research demonstrates consistent application of cognitive modeling approaches to practical human-computer interaction problems, with particular attention to visual attention mechanisms, error patterns, and usability assessment. His work spans theoretical cognitive science and applied human factors research, often addressing real-world challenges in system design and evaluation. Kavli Fellow, National Academy of Science, Fall 2009 Outstanding Associate for 2001-2002, Mary Gibbs Jones residential college, Rice University Distinguished Faculty Associate for multiple years at Rice University NIMH Postdoctoral Fellow National Science Foundation Graduate Fellow Georgia Institute of Technology President's Fellow Byrne has successfully secured substantial external funding from NASA, NSF, NIST, and ONR for research on human performance modeling, cognitive architecture, and human-computer interaction. His grants portfolio demonstrates strong interdisciplinary collaboration across computer science, psychology, and engineering domains. He has advised numerous graduate students and mentored undergraduate researchers in his lab. Beyond research, Byrne has served prominently on editorial boards for major journals including Human Factors, Cognitive Science, and Journal of Experimental Psychology: Applied. Byrne directs the Computer-Human Interaction Laboratory (CHIL) at Rice University, where his team conducts cutting-edge research on human performance modeling, cognitive architectures, and human-computer interaction. His lab has been particularly active in applying computational cognitive models to practical problems in system design, voting technology, and aviation human factors. The laboratory environment fosters interdisciplinary collaboration between psychology, computer science, and engineering students and researchers.

Shawn D. Whitemanمشاهده پروفایل

استاد

• Sibling Relationships
• Adolescent Development
• Family Socialization
• +۳ مورد دیگر

Shawn D. Whiteman serves as Professor and Interim Dean in the College of Education and Human Services at Utah State University, where he leads the Department of Human Development and Family Studies. His interdisciplinary work bridges developmental science, family studies, and public health to examine youth outcomes through adolescence and early adulthood. His educational background includes a PhD in Human Development and Family Studies (Statistics) from The Pennsylvania State University (2004), an MA in Psychology from Wake Forest University (2000), and a BA in Psychology from Shippensburg University (1998). PhD, Human Development and Family Studies (Statistics), The Pennsylvania State University, 2004 MA, Psychology, Wake Forest University, 2000 BA, Psychology, Shippensburg University, 1998 Whiteman’s research centers on sibling relationships as critical pathways for social influence and comparison within family systems. He investigates how sibling dynamics shape health behaviors, socioemotional adjustment, and developmental trajectories through adolescence into emerging adulthood. His work integrates longitudinal methodologies with family systems theory to unpack bidirectional sibling influences, differential parental treatment, and contextual factors like military deployment or pandemic disruptions. Current projects examine sibling mediation of substance use pathways, sport participation patterns, and crisis-related family adaptations. Analysis of his recent publications reveals consistent focus on sibling relationship mechanisms across developmental contexts. His work increasingly incorporates crisis events (military deployment, pandemics) as natural experiments to study family resilience. Methodologically, he combines advanced longitudinal modeling with mixed-methods approaches, particularly in military family and sibling sport research. His scientific recognition includes: Faculty Researcher of the Year (2019) from Emma Eccles Jones College of Education and Human Services, Utah State University Purdue University Scholar (2014) Early Career Research Achievement Award (2012) from Purdue University Whiteman mentors doctoral students in Human Development and Family Studies, with recent graduates including Leslie Page, Iliana Wilkinson, Jenna Dayley, and Liam Fischback. His research program receives substantial external funding from the National Institutes of Health and Department of Defense, supporting investigations into military family resilience and youth health behaviors. Current projects include longitudinal studies of wartime deployment effects on sibling relationships and pandemic-related family stress pathways. His work operates within university-wide research infrastructure at Utah State, collaborating with military family research centers and leveraging longitudinal datasets on sibling dynamics across diverse family structures.

• Computer Vision
• Egocentric Vision
• Video Understanding
• +۳ مورد دیگر

Dima Damen is a Professor of Computer Vision at the School of Computer Science, University of Bristol , and leads the Machine Learning and Computer Vision Group . She also holds a position as Senior Research Scientist at Google DeepMind. Her research focuses on egocentric vision , video understanding , and action recognition , with significant contributions to human routine modeling , hand-object interaction analysis, and multimodal learning from real-world environments. EPSRC Early Career Fellow (2020-2025) ELLIS Society Member Active in organizing workshops and challenges (e.g., EPIC, Ego4D, EgoVis) Her recent work explores temporal discrimination in video captioning ( It's Just Another Day ), active memory representations for long egocentric videos ( AMEGO ), and hand-object interaction referral ( HOI-Ref ). She has co-authored 15+ articles in top venues like CVPR, ICCV, NeurIPS, and IJCV, with a focus on egocentric scene modeling , audio-visual binding , and cross-scenario generalization . Awards include the Best Paper at ACCV 2024 and recognition as an Outstanding Reviewer at CVPR 2020 . She has supervised numerous PhD students and postdocs , including Adriano Fragomeni, Jacob Chalk, Alexandros Stergiou, and others who now hold academic or industry roles. Her funded projects include VISUAL AI (EPSRC Programme Grant) and UMPIRE (EPSRC Early Career Fellowship), supporting innovations in egocentric dataset creation , real-time tracking , and industrial workflow assistance .