جست‌وجوی استاد و پژوهشگر

• Deep Learning
• Automatic Speech Recognition (ASR)
• Spoken Language Modeling
• +۳ مورد دیگر

Mikko Kurimo is a Full Professor at Aalto University's Department of Information and Communications Engineering, School of Electrical Engineering. He earned his M.Sc., Lic.Tech., and D.Sc.(Tech.) from Helsinki University of Technology (1992, 1994, 1997) and pioneered neural networks for automatic speech recognition (ASR) in his PhD thesis. After research roles at IDIAP (Swiss AI center) and visiting positions at University of Colorado, Edinburgh, SRI, ICSI, and Nitech, he leads Aalto's ASR group since 2000. His work focuses on unsupervised subword modeling for morphologically complex languages (Finnish, Estonian, Turkish, Arabic) and large speech foundation models. PhD in Neural ASR (Helsinki University of Technology, 1997) Research Scientist at IDIAP (Switzerland) Visiting Fellow at University of Colorado, Edinburgh, SRI, ICSI, Nitech Head of Aalto ASR Group (2000-present) His research spans deep learning for ASR, spoken language modeling , and low-resource language solutions . Recent work explores continued pre-training of self-supervised models, multimodal emotion recognition, and pronunciation assessment using LLMs. He led the winning team in the 2017 Multi-Genre Broadcast challenge and secured competitive funding in Tekes Challenge Finland and EC's H2020-ICT-2017. Key article trends include: Advancements in children's speech recognition and dysarthric speech processing Integration of generative AI for language learning feedback Specialization in low-resource Uralic languages (Finnish, Northern Sámi) Development of robust ASR systems for complex phonetic environments Scientific Awards ACM Multimedia 2023 Computational Paralinguistics Challenge Prize First place in MGB3 2017 Arabic ASR Challenge ISCA Best Student Paper Award (2011) Professeur Invité at Université de Saint-Etienne (2005-2006) Royal Society International Short Visit Fellowship (2004) Professor Kurimo leads the Speech Recognition Group at Aalto, collaborating with COIN (Centre of Excellence in Computational Inference) and AIRC (Adaptive Informatics Research Centre). His projects like CaptainA mobile app demonstrate practical applications of ASR in language education. He has supervised numerous publications with co-authors in domains spanning bandwidth extension, stuttering detection, and speech sound disorder assessment.

• Urban Horticulture
• Ecosystem Services
• Urban Forestry
• +۶ مورد دیگر

Professor Jill Edmondson serves as a Professor of Ecosystem Sustainability and NERC Knowledge Exchange Fellow at the School of Biosciences, University of Sheffield, where she has been a Senior Lecturer since 2021. Her research focuses on enhancing ecosystem sustainability and resilience in urban and agricultural contexts through interdisciplinary approaches bridging soil science, plant ecology, and social dimensions. Her core research pillars include: Urban Horticulture , where she leads the national MYHarvest citizen science project quantifying home-grown food production while assessing ecosystem co-benefits and soil pollutant risks; Soil Carbon Dynamics , specializing in black carbon's role in urban soil carbon sequestration; and Urban Forest Ecology , investigating how pollution and infrastructure encasement impact tree health and ecosystem services like heat mitigation. Her work consistently integrates field studies with policy-relevant applications for city planning. Analysis of her 2020-2025 publications reveals intensifying focus on climate adaptation, with dominant themes including urban food security quantification, soil contaminant bioavailability, green infrastructure performance, and urban tree resilience. Methodologically, she pioneers citizen science integration and interdisciplinary field measurements, yielding actionable insights for urban sustainability policy. Her major recognitions include: NERC Knowledge Exchange Fellow (2022-present) EPSRC Living with Environmental Change Fellow (2016-2021) Professor Edmondson supervises undergraduate literature reviews and research projects across multiple programs (MBiolSci, MEnvSci, MSc, MRes), mentoring the next generation of sustainability scientists. Her grant portfolio features competitive fellowships supporting urban ecosystem research with direct policy applications through partnerships with local governments and environmental NGOs. She directs the MYHarvest citizen science initiative and collaborates extensively with the University of Sheffield's Institute for Sustainable Food, leading a multidisciplinary team spanning soil science, ecology, and engineering to develop evidence-based strategies for resilient urban ecosystems.

Ghassan AlRegibمشاهده پروفایل

استاد

• Machine Learning
• Image and Video Processing
• Computer Vision
• +۷ مورد دیگر

Ghassan AlRegib is the John and Marilu McCarty Chair Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He directs the Omni Lab for Intelligent Visual Engineering and Science (OLIVES), the Center for Energy and Geo Processing (CeGP), and previously led Georgia Tech's MENA initiatives (2015-2018). His research spans machine learning, image processing, and seismic interpretation with real-world applications in autonomous vehicles, medical imaging, and subsurface analysis. His research focuses on trustworthy AI systems through three pillars: enhancing interpretability, improving robustness/generalizability, and tackling domain-specific challenges. Key interests include human-in-the-loop frameworks, uncertainty quantification, explainable AI, and physics-driven learning. The OLIVES lab pioneered modern machine learning applications in seismic interpretation and developed open-source datasets for geological fault analysis. Dr. AlRegib's scientific contributions include over 270 publications, multiple U.S. patents, and leadership roles as Technical Program co-Chair for ICIP 2020/2024. His work demonstrates significant impact through awards like the IEEE Fellow designation (2022) and multiple best paper awards at premier conferences. IEEE Fellow (2022) 2023 EURASIP Best Paper Award 2019 ICIP Best Paper Award 2017 Denning Faculty Award for Global Engagement CSIP Research & Service Awards (2003) He has advised numerous PhD students including Dr. Ashraf Alattar (now Auburn professor) and Dr. Zhiling Long (Kennesaw State faculty). His lab structure emphasizes collaborative teams comprising postdocs, senior/junior PhD students, and undergraduates working on high-impact problems from autonomous systems to medical diagnostics. Current research thrusts include trustworthy neural networks, human-in-the-loop frameworks, and deployment of machine learning in seismic interpretation and ophthalmology.

Stuart James Khanمشاهده پروفایل

استاد مدعو

• Water Quality
• Water Recycling
• Chemical Contaminants in Water
• +۶ مورد دیگر

Professor Stuart James Khan is an Adjunct Professor in the School of Civil & Environmental Engineering at the University of New South Wales (UNSW). He previously served as Director of the Australian Graduate School of Engineering (AGSE). His research focuses on sustainable urban water management, water treatment processes, and chemical contaminant analysis. Khan holds a PhD in Environmental Engineering from UNSW (2003) and a BSc (Hons 1 in Organic Chemistry) from the University of Sydney (1995). His research interests include water recycling, desalination, disinfection byproduct formation, and the safe management of chemical contaminants. He has advised over 15 PhD students on topics ranging from advanced treatment technologies to risk assessment frameworks. Khan has published extensively, with over 200 journal articles and 18 book chapters, emphasizing interdisciplinary approaches to water quality challenges. Key contributions include advancing membrane bioreactor performance, optimizing water recycling systems, and assessing risks associated with emerging contaminants. His work bridges fundamental science and practical engineering solutions, addressing global water security challenges. Current projects explore wastewater-based epidemiology, PFAS remediation, and climate-resilient water infrastructure. Khan collaborates internationally on water reuse strategies and has contributed to policy frameworks for safe water management. His teaching spans courses like Water & Wastewater Treatment and Environmental Risk Analysis, reflecting his commitment to educating future engineers in sustainable practices.

Kate Oggمشاهده پروفایل

استاد

• Refugee Law
• Human Rights Litigation
• Feminist Legal Theory
• +۲ مورد دیگر

Kate Ogg is Professor and Associate Dean (Higher Degree Research) at ANU Law School. Her interdisciplinary research examines refugee law, human rights litigation, and feminist legal theory through works including the monograph 'Protection from Refuge: From Refugee Rights to Migration Management'. Ogg's scholarship investigates how courts shape refugee journeys globally. She holds a BA/LLB (First Class Honours, University Medal) from Griffith University, MSc (Distinction) from Oxford, and PhD from ANU. Ogg provides expert testimony to the Australian Federal Parliament and contributes to international media discourse on refugee policy. Research Focus: Current ARC-funded projects examine community sponsorship for refugees and movement litigation. Key research streams include: COVID-19 border restrictions' impact on citizenship conceptualizations Feminist engagements with international refugee law Deliberative democratic approaches to human rights adjudication Constitutional struggles in displacement contexts Recent publications analyze pandemic border controls as internal displacement events and refugee law's response to democratic backsliding. Collaborative work advances methodological innovation through refugee-centered legal scholarship. Leadership: As Director of the Rewriting Jurisprudence project, Ogg collaborates with scholars and lawyers with displacement experiences to reimagine legal precedents. She co-leads the Law, Governance & Institutions cluster at ANU's Institute for Climate, Energy & Disaster Solutions.

S. Prashant Kumarمشاهده پروفایل

پژوهشگر

• History of mathematics and statistics
• History of astronomy
• History of technology
• +۴ مورد دیگر

S. Prashant Kumar is a Postdoctoral Researcher at the Rank of Instructor at the University of Chicago and an Honorary Fellow at the Archives at NCBS (Tata Institute of Fundamental Research, Bengaluru). His research focuses on the history of science and empire, examining intersections between mathematics, astronomy, technology, and colonialism. He previously held roles including Visiting Assistant Professor of History at Haverford College and Postdoctoral Fellow in Global Intellectual History at Humboldt-Universität zu Berlin. Trained in theoretical physics, he earned his PhD in History and Sociology of Science from the University of Pennsylvania (2021). His current book project, The Light Threshers: Time, Caste, and Computational Labor in South Asia , traces how caste-organized labor in astral sciences and metallurgy were integrated into global time measurement systems from the late 18th century to mid-20th century. This work highlights the dialectic between chronometry and historical chronology in shaping postcolonial temporal frameworks. Key research interests include colonial-era scientific practices, the role of caste in technical labor, and the material culture of knowledge production. His publications span global aspects of Newtonianism, astronomical chronometry, and archival studies of Indian scientific heritage. He has curated the B.S. Madhava Rao Papers at NCBS archives and contributed to interdisciplinary projects linking literature (e.g., Borges) with mathematical concepts. Awards: Honorary Fellow at NCBS Archives Grants/Projects: Ongoing book project supported by IFK Vienna fellowship Labs/Teams: Collaborates with NCBS Archives and global intellectual history networks

• African Studies
• Linguistics
• Historical Anthropology
• +۸ مورد دیگر

Katrin Bromber is a German Researcher at the Centre for Modern Oriental Studies in Berlin, where she has led the research group "Progress and its Discontents: Ideas, Practices, Materiality" since 2014. Her career spans senior research roles at ZMO and academic teaching positions at the University of Vienna. Nationality: German. Language skills: Native German, fluent English/Swahili, moderate Amharic, good reading knowledge in French/Russian, basic Tigrinya. Habilitation (2009–): African Studies, University of Vienna PhD (1993): African Linguistics, University of Leipzig MA (1988): Swahili Studies, University of Leipzig Katrin Bromber's research interrogates intersections of body politics , sports history , Swahili linguistics , and Ethiopian modernity . Her work traces how physical culture, media representation, and colonial/imperial narratives shape national identities across Africa and Asia. Current focus: "Progress" as contested concept in Ethiopian and Gulf urbanism. Key article trends reflect her translocal methodology: 2017 studies on Ethiopian stadiums and fitness culture ; 2014-2013 publications analyzing East African military press , sports branding in the Gulf , and Swahili poetry ; 2007-2000 works on colonial linguistic politics , Indian Ocean slavery , and German colonial Swahili promotion . Recurring sub-fields: body as political text, translocal modernity, media historiography. Scientific Awards: Research Grant of the Berlin City Council (1999-2000): Gendered Slavery study Service to the Scientific Community: Chairwoman, Academic Association for Horn of Africa Studies (2012–) Editorial Advisory Board - Stichproben. Vienna Journal of African Studies (2015–) Editorial Advisory Board - Studies of Department of African Languages and Cultures (2015–) Teaching Experience: Textlinguistics, Mediacommunication, African Linguistics, Swahili (elementary/advanced), Swahili Literature, Swahili in Arabic Script at Leipzig, Humboldt-Berlin, Free Berlin, and Vienna universities Anthropology of the Body at Mekelle University Summer School Field Research: Tanzania (1993-2003): Swahili Poetry, Intellectual History Kenya (2005): Indian Ocean WW2 UAE/Bahrain (2009): Sports and Body Cultures Ethiopia (2009-2015): Sports, Body Politics

Duc (David) Tranمشاهده پروفایل

دانشیار

• Network Computing
• Machine Learning
• Blockchain Technology
• +۳ مورد دیگر

Dr. Duc (David) Tran is a tenured Associate Professor in the Department of Computer Science at the University of Massachusetts at Boston. He directs the Network Computing Laboratory and focuses on network computing, with current projects in blockchain technology, decentralized learning, and edge computing. His research on peer-to-peer and decentralized networks has been widely cited. National Science Foundation funding recipient Best Theory Paper Award at IEEE MASS (2014) Best Paper Award at ICCCN (2008) IEEE Outstanding Graduate Student Award (2002) His research combines machine learning and decentralized techniques to optimize networked applications. Recent publications highlight blockchain for federated learning, edge computing, and automated market-making algorithms. He has also published cross-disciplinary work in medical imaging (2021) and obstetrics (2025). Dr. Tran actively contributes to academic service as an editor for Elsevier Ad Hoc Networks Journal, Springer Journal on Computational Social Networks, and Taylor Francis Journal on Parallel, Emergent, and Distributed Systems. He has served as TPC Chair for WiMAN, Guest-Editor for Pervasive Computing and Communications, and keynote speaker at WiMAN 2013.

• Urban and regional planning
• Human geography
• Policy and administration
• +۵ مورد دیگر

Professor Yvonne Rydin is Chair of Planning Environment and Public Policy at The Bartlett School of Planning, University College London (UCL), where she has been based since 2006. She currently holds a 50 % part-time appointment at UCL and previously spent 16 years at the London School of Economics in the Department of Geography and Environment. Education PhD in Urban and Regional Planning Studies, University College London (1984) BA (Hons) in Land Economy, University of Cambridge (1978) Research Interests Professor Rydin is an internationally recognised scholar in governing for sustainability. Her work spans urban green space management, community energy, retail planning, and post-growth urban futures. Conceptually, she mobilises network metaphors (including social capital) and discourse analysis to unpack governing processes, while also drawing on socio-technical studies to examine large-scale energy infrastructure. A long-standing strand of research interrogates knowledge production within planning, scrutinising classificatory systems such as BREEAM and sustainability indicators and exploring the implications of socio-materiality. Her forthcoming monograph Planning without Growth (Policy Press, 2025) extends her agenda on low-growth planning by investigating how embedded and new knowledges can support alternative local economic models. Research Outputs & Trends Since 2018 she has published extensively on post-growth planning, regulatory theory, digital tools in participation, and diverse economies. Recent articles in Planning Theory, Built Environment and Planning Practice & Research articulate critical perspectives on moving beyond pro-growth orthodoxies and re-tooling the planning profession. Scientific Awards & Recognition While no specific awards are listed, Professor Rydin has held numerous prestigious roles: member of the RAE 2014 panel, invited oral evidence to the House of Commons Environmental Audit Committee, participant in the Raynsford Review of Planning, and repeated evaluator for the Norwegian Research Council, Finnish Academy, ESRC and FORMAS. Advising & Grants She has supervised collaborative Engineering Doctorate (EngD) studentships with industrial partners BRE Global and Buro Happold (2011-2020), and co-taught on the MSc Sustainable Urban Development at Oxford University’s Department for Continuing Education (2014-2018). Labs & Teams Professor Rydin served as Director of the UCL Environment Institute (2010-2013) and leads teaching on the postgraduate module Planning for Sustainability and Inclusion alongside Dr Yasminah Beebeejaun.

Tommaso Gabrieliمشاهده پروفایل

دانشیار

• Urban Economics
• Real Estate Valuation
• Behavioral Economics
• +۱۲ مورد دیگر

Dr. Tommaso Gabrieli is an Associate Professor in Real Estate at the Bartlett School of Planning, University College London (UCL), where he has been employed since September 2015. His academic career spans multiple institutions including the University of Reading, City University London, University of Warwick, and the Catholic University of Milan. His educational background includes: PhD in Economics from the University of Warwick (2009) MSc in Economics from the London School of Economics and Political Science (2003) Fellowship of the Higher Education Academy from the University of Reading (2013) As a theoretical economist trained in the ambrosian tradition of social welfare, Gabrieli's research focuses on the economic analysis of urban policy issues. His expertise encompasses economic modeling of real estate markets, financial viability of urban projects, multi-dimensional value measurements, and value-capture mechanisms. He has developed novel interdisciplinary methods bridging urban planning and design with economics, making him one of few economists actively collaborating with urban planning scholars in the UK. His work addresses Sustainable Development Goals including No Poverty, Good Health, Decent Work, Reduced Inequalities, Sustainable Cities, and Climate Action. His recent publications demonstrate a strong focus on urban design governance, value capture mechanisms, and the interface between economic theory and urban planning practice. The research spans theoretical explorations of post-growth planning and practical applications in land value recovery, particularly examining implications for housing affordability, wealth distribution, and community wellbeing in both urban and rural contexts. His work often integrates behavioral economics with spatial planning considerations. Professional recognition includes: Fellow of the Higher Education Academy Gabrieli has extensive experience supervising PhD and MSc dissertations across multiple institutions. His teaching portfolio includes Real Estate Appraisal and Valuation at UCL, where he leads relevant modules for both undergraduate and graduate programs. He has contributed to significant research projects including 'Street Appeal' commissioned by Transport for London and the Horizon 2020-funded 'UrbanMaestro' project worth 1 million Euros. His research impact has been formally recognized by Transport for London. Currently, he leads the 'Future Urban Growth Lab' project, funded by UCL Knowledge Exchange and Innovation Funding, in partnership with the Royal Town Planning Institute and Politecnico of Turin. This project aims to operationalize an urban growth model prototype for use by local authorities in planning future city development, bridging academic research with practical planning applications.

Alexander Panمشاهده پروفایل

پژوهشگر

• Machine Learning
• Artificial Intelligence
• AI Safety
• +۴ مورد دیگر

Alexander Pan is a third-year Computer Science PhD student at the University of California, Berkeley, advised by Jacob Steinhardt . His research focuses on developing safe machine learning systems, particularly sequential decision-making agents. He holds a dual bachelor's degree in Mathematics and Computer Science from Caltech, where he worked with Anima Anandkumar and Yuanyuan Shi . His recent work explores AI safety through topics like unlearning , LLM transparency , and reward hacking , with publications at premier conferences including ICML and ICLR. He has received recognition such as the FLI PhD fellowship and hackathon awards for projects like SimSquare and homES ReInvented . Scientific Awards: FLI PhD fellowship Best Social Network Hack - Stanford Hackathon 2021 Best Use of ESRI Technology - Caltech Hackathon 2020 ICML 2023 Oral Presentation

Maria Navarroمشاهده پروفایل

استاد آموزشی

• High-Impact Practices (HIPs)
• Interdisciplinary Education
• Curriculum Development
• +۴ مورد دیگر

Maria Navarro is a Teaching Professor at the University of Georgia's College of Agricultural & Environmental Sciences, specifically within the Department of Agricultural Leadership, Education & Communication. She holds a Ph.D. in Agricultural Education from Texas A&M University (2004) and a BS/MS equivalent in Agricultural Engineering from Universitat Politècnica de Catalunya, Spain (1992). Ph.D., Agricultural Education, Texas A&M University (2004) BS/MS, Agricultural Engineering, Universitat Politècnica de Catalunya (1992) Her research focuses on High-Impact Practices (HIPs), interdisciplinary education, and integrating STEM with social sciences to create globally conscious curricula. She has led transformative projects in curriculum operations, faculty development, and student equity, with recent work emphasizing sustainable food systems and biocultural diversity. 2018 Fellow, Association for International Agricultural and Extension Education 2017 D.W. Brooks Faculty Award for Excellence in Teaching 2016 Outstanding Graduate Faculty Mentor Award 2014 UGA Richard B. Russell Award for Excellence in Undergraduate Teaching Dr. Navarro has secured competitive grants totaling over $1.1 million from USDA-NIFA-HEP for projects like 'Interdisciplinary graduate research and education in sustainable food systems' and 'Integrating humanistic studies into engineering education.' Her teaching includes international study-abroad programs, graduate seminars, and first-year courses, with a focus on experiential learning and curriculum innovation.

Chen Sunمشاهده پروفایل

استادیار

• Computer Vision
• Deep Learning
• Machine Learning
• +۸ مورد دیگر

Chen Sun is an Assistant Professor of Computer Science at Brown University and a part-time Staff Research Scientist at Google DeepMind . His research bridges computer vision, machine learning, and artificial intelligence , focusing on multimodal representation learning, visual commonsense, and controllable video generation . He directs the PALM🌴 research lab , which explores scalable models for robotic planning, video understanding, and human activity recognition . Chen Sun earned a Ph.D. in Computer Science from the University of Southern California (2016) , advised by Professor Ram Nevatia , and a Bachelor of Science in Computer Science from Tsinghua University (2011) . His lab's work has been supported by Adobe, Honda, Meta, NASA, and Samsung , and he is affiliated with the NSF AI Research Institute on Interaction for AI Assistants . His research spans multimodal transformers, embodied agents, and physics-informed video generation . Key trends include Learning from unlabeled videos for human activity recognition Developing controllable generation techniques using motion trajectories and physics-based signals Advancing scalable frameworks for video-language tasks Scientific awards include the Brown University Richard B. Salomon Faculty Research Award and Samsung Global Research Outreach Award . He has served as Workshop Chair (CVPR 2025) , Action Editor (TMLR) , and Area Chair for top conferences like ICLR, CVPR, and NeurIPS . Chen Sun mentors a dynamic team including Ph.D. students Apoorv Khandelwal (Presidential Fellow) Calvin Luo (Research Mobility Fellow) Nate Gillman (Math Department) Shijie Wang Tian Yun (co-advised with Ellie Pavlick) Yuan Zang Zilai Zeng Zitian Tang and alumni now pursuing Ph.D. programs at Princeton, Cornell, UBC, and UNC . His teaching portfolio includes graduate-level courses on Deep Learning (CSCI 2470) , Advanced Topics in Deep Learning (CSCI 2952N) , and a short course on Multimodal Transformers at ICASSP 2022 and AAAI 2023 .

Paul Boersmaمشاهده پروفایل

استاد

• Phonetics
• Phonology
• Computational Linguistics
• +۷ مورد دیگر

Paul Boersma is a Professor of Phonetic Sciences at the University of Amsterdam within the Faculty of Humanities. His research explores how phonetic, phonological, and morphological phenomena emerge through computational modeling using artificial neural networks and Optimality Theory, with a focus on multi-level constraint interactions and distributional learning. University of Amsterdam Faculty of Humanities Phonetic Sciences Key research areas include: Computational Modeling : Simulations of phonological category emergence from phonetic data Optimality Theory : Gradual Learning Algorithm applications BiPhon Framework : Parallel bidirectional phonology/phonetics models Statistical Learning : Cross-situational and distributional learning mechanisms Recent publications emphasize: 2025: Inclusive speech recognition systems using Whisper model 2025: F0 ratio analysis for creaky voice diagnostics 2024: Prosodic clitics in child speech and checked tones in Shanghai Chinese 2023: Distributional learning in developmental language disorder contexts 2022: Substance-free phonological features and ghost segment phenomena He has also contributed extensively to the Praat software for phonetic analysis, with continuous updates since 1993.

Mélanie Roustanمشاهده پروفایل

استادیار

• Anthropology
• Material Culture Studies
• Museum Anthropology
• +۵ مورد دیگر

Mélanie Roustan is an anthropologist and Assistant Professor at the National Museum of Natural History in Paris, France. She teaches visitor studies in the Museum's Master in Museology program and conducts research in the PALOC laboratory (UMR Paloc), which focuses on heritage and territories. Her academic work bridges material culture studies with contemporary museum anthropology, examining how museums function as social spaces for working, visiting, and thinking about heritage, memory, and cosmology. Dr. Roustan's research interests include: Material Culture Studies Museum Anthropology Visitor Studies Anthropology of Smoking Heritage Studies Indigenous Paradigms in French Museums Zoological Gardens as Heritage Sites Her scholarly approach combines ethnographic fieldwork with theoretical analysis of museum practices and heritage politics. She has published extensively on museum anthropology, with notable works including 'Sous l'emprise des objets? Culture matérielle et autonomie' (2007), 'Voyage au Musée du quai Branly' (2012, with Octave Debary), and 'El museo y sus públicos. El visitante tiene la palabra' (2013, with Jacqueline Eidelman and Bernadette Goldstein). Dr. Roustan's recent publications (2019-2023) demonstrate a significant evolution in her research toward contemporary issues in museum anthropology, particularly focusing on digital transformations in museum practices, indigenous perspectives in French museums, and the heritagization of living animals in zoological gardens. Her work on French ambivalence toward indigenous concepts and the administration of digital collections in zoological parks represents cutting-edge research at the intersection of anthropology, heritage studies, and digital humanities. Her contributions to academic discourse include: Critical analysis of French museums' engagement with indigenous peoples Innovative research on living collections and biodiversity heritage Exploration of digital transformations in museum practices Examination of material culture in everyday life and museum contexts Comparative studies of heritage practices across national contexts Dr. Roustan actively participates in international academic conferences, including presenting on Maori exhibitions in Paris and Québec City, reflecting her commitment to cross-cultural dialogue and understanding in museum contexts. Her work consistently demonstrates methodological rigor and theoretical sophistication, making significant contributions to multiple fields within anthropology and museum studies.