Cristina Guardiano is a Full Professor at the University of Modena and Reggio Emilia, Department of Communication and Economics. Her research focuses on syntax, historical linguistics, and the Parametric Comparison Method (PCM), exploring syntactic variation across languages to reconstruct linguistic phylogenies. She specializes in formal syntax, differential object marking, and the intersection of syntax with computational and genetic data analysis. Key Affiliations: Dipartimento di Comunicazione ed Economia, University of Modena and Reggio Emilia Research Themes: Syntactic parameters, language evolution, Romance dialectology, genetic-linguistic correlations Guardiano's work integrates theoretical linguistics with interdisciplinary approaches, including collaborations with geneticists and computational linguists. Notable contributions include studies on the syntax of Italiot Greek, Sicilian dialects, and the application of parametric syntax to historical language classification. She leads initiatives like the TerraLing database to systematize cross-linguistic syntactic data. Her teaching includes advanced courses on linguistics, parametric syntax, and the analysis of language evolution. She emphasizes critical evaluation of Large Language Models (LLMs) and their implications for linguistic theory.
Dr. Abdulghani A. Ahmed is a Senior Lecturer in Digital Forensics and Course Leader for MSc Cybersecurity at the School of Computer Science and Informatics, De Montfort University (DMU), UK. He is affiliated with the Cyber Technology Institute (CTI) and has a long-standing academic career since 2004, previously serving as a Senior Lecturer at University Malaysia Pahang. University: De Montfort University School: School of Computer Science and Informatics Role: Senior Lecturer, Course Leader (MSc Cybersecurity) Email: aa.ahmed@dmu.ac.uk ORCID: 0000-0001-9748-6067 Education: PhD in Network Security & Intrusion Detection Systems, Universiti Sains Malaysia (2014) MSc in Network Forensics & Identity Spoofing Investigation, Al-Neelain University (2006) BSc (Hons) in Computer Science, Sudan University of Science and Technology (2002) Dr. Ahmed’s research focuses on critical areas in cybersecurity, including digital forensics, IoT authentication, big data privacy, cloud and network security, malware analysis, incident response, and cybercrime investigation. His work integrates machine learning, bio-inspired algorithms, and proactive forensic models to enhance cyber resilience. He has led numerous research projects and published extensively in top-tier journals such as IEEE Access, Sensors, and Springer. The recent publications reflect a strong trend toward digital forensics in cloud and mobile environments, bio-inspired security frameworks, and machine learning applications in cybercrime detection. His work bridges theoretical innovation and practical deployment, particularly in real-time intrusion detection and evidence collection. Scientific Awards and Honors: Multiple Gold, Silver, and Bronze medals from international innovation exhibitions (MTE2018, Citrex, iCAN, ICE-CINNO) CENDEKIA BITARA AWARD 2016 for high-impact journal publication Nominated for Best PhD Thesis Award at USM (2015) Three-time High Impact Publication Award (2011–2013) at USM Dr. Ahmed actively supervises PhD students and has secured significant research funding as Principal Investigator from Innovate UK, COMSTECH-TWAS, and Malaysian government grants. His consultancy work includes cybercrime investigation and incident response for SysArmy Sdn Bhd and Golden Carousel Sdn. Bhd. He is a Senior Member of IEEE and IAENG, and holds professional certifications including SFHEA (UK), Cellebrite CCO, and digital forensics credentials from AccessData and Condition Zebra. He leads the Cyber Technology Institute research group at DMU, focusing on next-generation cybersecurity solutions. His projects include proactive forensic models, IoT security frameworks, and AI-driven botnet detection systems, positioning him at the forefront of applied cybersecurity research.
Dr. Bennett Collins is a Lecturer in the Department of Politics and International Relations at the University of Aberdeen's School of Social Science. His academic journey includes a PhD in International Relations from the University of St Andrews (2023), an MSc in African Studies from the University of Oxford (2014), and an MA in International Relations with First Class honors from the University of St Andrews (2013). His educational background reflects his interdisciplinary approach to understanding global political issues, particularly those related to environmental justice, cultural violence, and human rights. He holds the designation of Associate Fellow of the Higher Education Academy (AFHEA) and maintains active memberships in several professional organizations including the Native American and Indigenous Studies Association and the Climate Social Science Network. Dr. Collins' research takes interdisciplinary and justice-based approaches to examining the social, economic, and political dimensions of our planetary crisis. His work spans several interconnected areas: Environmental and climate politics with a focus on justice frameworks Settler colonial studies and historical dialogue Transitional justice mechanisms and their effectiveness Critical human rights approaches to minority and Indigenous communities Community-collaborative research methodologies His recent publications demonstrate a strong thematic focus on climate justice, historical violence, and the experiences of marginalized communities. Rather than isolated studies, his work forms a cohesive research program examining how historical forms of violence and land dispossession contribute to contemporary climate challenges, while also addressing calls for climate justice from affected communities. Among his notable achievements: Nominated for the Principal's Excellence Awards (2025) for Best Postgraduate (Taught) Lecturer Received an Honorable Mention for the MacJannet Prize (2024) as part of the Third Generation Project Awarded the Oxford University African Studies Prize (2014) for 'Most Innovative Dissertation Research' Dr. Collins has successfully secured funding from prestigious organizations including the Scottish Government, National Geographic Society, Global Challenges Research Fund, and the Sir Halley Stewart Trust. His collaborative approach is evident in his work with various organizations such as Education Scotland, Aegis Trust/Kigali Genocide Memorial, and numerous community-based organizations in Scotland, Rwanda, and the United States. As an educator, he serves as Programme Coordinator for the MSc in Climate Politics and Policy at Aberdeen and teaches courses including Environmental and Climate Politics, International Energy Politics and Security, and Energy Politics and Law. He actively mentors emerging researchers through the Third Generation Project's Emerging Researchers Programme and co-founded the Mutual Aid Clinic to train undergraduate students in collaborative research methodologies.
Ronald Kim is an Associate Professor of Linguistics in the Department of Older Germanic Languages within the Faculty of English at Adam Mickiewicz University in Poznań, Poland. Born and raised in New Jersey, USA, he completed his undergraduate studies at Princeton University in 1996 before earning his Ph.D. in Linguistics from the University of Pennsylvania in 2002. After a postdoctoral fellowship at Cornell University, he taught at several US institutions including Penn, Temple, and Swarthmore before joining Adam Mickiewicz University in 2009 as a Visiting Professor, eventually securing his current position as Associate Professor. Kim's academic credentials include an AB in Astrophysical Sciences from Princeton University (1996), a Ph.D. in Linguistics from the University of Pennsylvania (2002), and a D. Litt. in English Linguistics from Adam Mickiewicz University in Poznań (2015). His research spans multiple areas of historical linguistics with particular focus on Indo-European languages including Tocharian, Iranian, Balto-Slavic, Greek, Celtic, and Anatolian, as well as Semitic languages like Aramaic. His work encompasses sociolinguistics, language variation, language contact phenomena, dialect geography, phonology (particularly autosegmental, nonlinear, and prosodic approaches), morphology, and pidgin and creole linguistics with emphasis on English-based contact languages of the Pacific. Analysis of Kim's recent publications reveals a clear trajectory in his scholarly work, with increasing focus on Iranian languages, particularly Ossetic, while maintaining strong connections to broader Indo-European studies. His work demonstrates sophisticated integration of comparative linguistic methods with computational approaches to language evolution, particularly evident in his contributions to phylogenetic studies of Indo-European languages. There's also a consistent thread of interest in suppletion phenomena across multiple language families. His research often bridges theoretical linguistic concerns with historical and geographical contexts, particularly the linguistic landscape of Central Asia and the Silk Road region. Erasmus+ teaching exchange, Ludwig-Maximilians-Universität München, January 2020 Heiwa Nakajima Foundation fellowship, Graduate School of Humanities and Sociology, The University of Tokyo, Spring 2017 AMU research travel grant, Department of Linguistics, University of Pennsylvania, September 2013 Junior Research Grant, Swarthmore College, Spring 2007 Mellon Postdoctoral Fellowship in the Humanities, Cornell University, 2002-03 University of Pennsylvania Graduate School of Arts and Sciences Dissertation Fellowship, 2001-02 William Penn Graduate Fellowship, University of Pennsylvania, 1996-2000 Adam Mickiewicz University rector's prize for publications, 2019 Kim serves in multiple editorial capacities, including General Editor of Indo-European Linguistics (with Joseph F. Eska) and Chatreššar: International Journal for Indo-European, Semitic, and Cuneiform Languages (with Petr Zemánek). He also sits on the Editorial Board of Brill's Studies in Indo-European Languages & Linguistics, the Editorial Advisory Board of Lingua Posnaniensis, and serves as a Board of Reviewer for Tocharian and Indo-European Studies and the Academic Journal of Modern Philology. His research has been supported by numerous grants including projects on Ossetic Historical Grammar funded by the National Science Centre Poland (2020-23), The Historical Morphology of the Old Armenian Verb funded by the Czech Science Foundation (2017-19), and participation in the Indo-European Cognate Relationships project at the Max Planck Institute for the Science of Human History (2015-). Kim maintains an active international presence through frequent conference participation and invited lectures at major institutions worldwide including University of Pennsylvania, Princeton University, Harvard University, Kyoto University, and Ludwig-Maximilians-Universität München. His scholarly network spans multiple continents, reflecting the international nature of Indo-European linguistic research.
Sajib Datta is a Clinical Associate Professor at The University of Texas at Arlington (UTA), affiliated with the Department of Information Systems and Operations Management (ISOM) in the College of Business. He also serves as an Adjunct Faculty in the Computer Science and Engineering (CSE) Department. His academic roles include MSIS Graduate Advisor and Founding Faculty Advisor to the Mavericks Blockchain Society. Datta holds a PhD in Computer Science from UTA (2013) and a BS in Computer Science from North South University (2007), for which he was honored as a Distinguished Alumnus in 2017. His research focuses on Blockchain Technologies, IoT, and Wireless Networks, with contributions to network performance analysis and real-time traffic optimization. He has authored peer-reviewed papers in conferences like IWCMC, WCNC, and PETRA. Datta actively collaborates with industry partners such as Komodo Platform and SmartChain LLC, emphasizing blockchain education and workforce development. Teaching highlights include courses on Advanced Systems Development, Blockchain Technologies, and Computer Networks. He has received multiple Advisor Excellence Award nominations at UTA. Additional recognitions include NSF travel grants, the STEM Doctoral Fellowship, and membership in honor societies like Golden Key and Upsilon Pi Epsilon. Service roles: Committee member for IS Curriculum and Graduate Curriculum, Judge/Program Coordinator for HackUTA. Industry affiliations: Advisor to blockchain startups, founder of blockchain education initiatives.
Berthold Lausen is a Professor in Data Science & Statistics at the School of Mathematics, Statistics and Actuarial Science (SMSAS) at the University of Essex, and concurrently holds a professorship in Biometry and Epidemiology at the University of Erlangen-Nuremberg. He has led the SMSAS as Head of Department (2016–2021) and significantly expanded its academic and student body. His research focuses on machine learning, medical statistics, and data science applications in healthcare and industry. He is a Fellow of the Royal Statistical Society (since 2009) and has been nominated for the KTP Academic of the Year award (2022). Education: Diplom-Statistiker (1987), Dr. rer. nat. (PhD, 1990), and Privatdozent (habilitation in biometry and epidemiology, 2003), all from German institutions. Research Interests: Development of nonparametric methods, classification algorithms, survival analysis, and machine learning applications in medicine. He has pioneered techniques like Maximally Selected Rank Statistics and p-Value Adjusted Classification Trees. His work bridges theoretical statistics with practical data science challenges in healthcare and industry. Grants & Partnerships: Principal Investigator for Innovate UK-funded KTPs with Prophasis, Mondaq, and Rolls-Royce Motor Cars/BMW. These projects focus on data-driven solutions for industry and legal sectors. His leadership in academic-industry collaborations has been recognized nationally. Professional Roles: President of the British Data Science Society (since 2022), Vice-President of the European Association for Data Science (since 2023), and former President of the International Federation of Classification Societies (IFCS, 2018–2022). He serves on editorial boards of journals like Advances in Data Analysis and Classification and Archives of Data Science .
David Fox is the Chair of Common Law at the University of Edinburgh's School of Law, part of the Edinburgh Centre for Private Law. He holds a B.A., LL.B. from the University of Otago (New Zealand) and a Ph.D. from the University of Cambridge. Previously, he was a Fellow at St John’s College, Cambridge, and held visiting posts at the National University of Singapore. As a Barrister in England and Wales, he contributes to legal practice through Maitland Chambers. His research focuses on monetary law, trust law, and legal history, with recent work exploring cryptocurrency's intersection with common law property doctrines. Notable projects include analyses of the 1707 Anglo-Scots monetary union and historical case studies like Mixt Monies . He supervises PhD students in monetary law and trust law with historical emphases. Publications include Property Rights in Money (2008) and co-edited volumes such as Money in the Western Legal Tradition (2016). His articles address topics from medieval monetary systems to modern financial instruments, emphasizing legal-historical perspectives.
Suryanarayana Sankagiri is a postdoctoral researcher at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, affiliated with the Information and Network Dynamics (INDY1) group under Professor Matthias Grossglauser. Previously, he earned his Ph.D. in Electrical & Computer Engineering (2018-2022) from the University of Illinois at Urbana-Champaign , where he was supervised by Bruce Hajek and participated in the Coordinated Science Lab . He also holds an M.S. in Electrical & Computer Engineering from the University of Illinois (2016-2018) and a B.Tech. in Electrical Engineering from the Indian Institute of Technology Bombay (2012-2016). Education : Ph.D., Electrical & Computer Engineering, University of Illinois (2018-2022) M.S., Electrical & Computer Engineering, University of Illinois (2016-2018) B.Tech., Electrical Engineering, IIT Bombay (2012-2016) Suryanarayana's research focuses on discrete choice models and their application to recommendation systems , with a particular emphasis on learning from choice data and developing novel models for human decision-making. His broader interests include blockchain security under adverse network conditions, network dynamics , probabilistic modeling , and algorithm design . Recent work explores nonconvex matrix factorization and contextual dueling bandits for recommendation systems. His publications span theoretical and applied domains, including high-impact venues like ICML , Stochastic Systems , and IEEE Transactions on Networking . Themes include blockchain efficiency , hidden community detection in preferential attachment graphs, and temporal analysis of Indian classical music. Current projects involve refining recommendation systems through sparse comparison data and designing protocols for resilient blockchain networks. Scientific Awards : zkCapital Paper of the Week (2021) Rambus Fellowship (2021) Mavis Future Faculty Fellowship (2019) List of Teachers Ranked as Excellent (2019) Nomination for IIT Bombay Undergraduate Colloquium (2016) Best Poster Award, IIT Bombay Undergraduate Research Symposium (2013) Suryanarayana has advised no students listed in the provided materials. His work has been supported by fellowships such as the Mavis Future Faculty Fellowship and Rambus Fellowship . He contributes to the INDY1 group at EPFL, which investigates information and network dynamics through interdisciplinary approaches combining probability , network theory , and algorithmic design .
Steven Hetts, MD, is an Associate Professor of Radiology in Residence at the University of California, San Francisco (UCSF), and Chief of Neuroradiology at San Francisco General Hospital. He established the Interventional Neuroradiology service, specializing in cutting-edge endovascular therapies for cerebrovascular and spinal vascular diseases. His academic roles include Co-Director of the Interventional Radiology Laboratory at China Basin, focusing on translational research bridging engineering and clinical applications. Education: AB in Biology, Harvard College (1996) MD, Harvard Medical School (2000) Residency in Diagnostic Radiology, UCSF (2005) Fellowships in Diagnostic Neuroradiology and Interventional Neuroradiology, UCSF (2006, 2008) Research Interests: Dr. Hetts' work centers on endovascular therapies for cerebrovascular and spinal diseases, neurooncology, and advancing minimally invasive techniques. Key projects include Magnetic Catheter Navigation and the ChemoFilter system to reduce chemotherapy toxicity. His clinical research emphasizes translating basic science into clinical solutions. Grants & Funding: NIH R42CA265316 (2021-2022): Endovascular ChemoFilter NIH R01EB012031 (2011-2022): MRI Tools for Endovascular Interventions NIH R01CA194533 (2015-2021): Endovascular Chemofiltration Awards: Margulis Society Radiology Resident Research Award (2003) American Society of Neuroradiology Scholar Award (2012) Nominated for QB3 Startup of the Year (2015) Labs & Teams: Co-Director of the Interventional Radiology Laboratory at China Basin, collaborating on projects like the ChemoFilter system and MRI optimization for endovascular procedures.
Kartikeya Singh is a Ph.D. candidate and Researcher in the Department of Computer Science at the University at Buffalo, affiliated with the College of Engineering and Applied Sciences. His work focuses on autonomous systems, particularly SLAM and risk-aware navigation for robots operating in complex terrains. Current research emphasizes enabling legged robots to traverse challenging environments via advanced visual perception and dynamic motion planning. His approach integrates theoretical rigor with practical deployment, collaborating with industry partners to test solutions in real-world scenarios. Recent publications (2021–2025) span legged robot navigation, payload-aware path planning, and visual feature learning using motion. Key themes include environmental monitoring, off-road mobility, and sensor fusion technologies. 2025: Autonomous Culvert Inspection 2024: PANOS (Offroad Navigation), L-DYNO (Visual Perception) 2021: OFFSEG (Semantic Segmentation), Offroadtranseg (Transformer Models) 2020: Shoplifting Detection via Contour Analysis Scientific recognition includes: Top 10 emerging researcher at ICRA 2025 Best paper nomination at ICRA 2025 He has served as a Research Assistant (2023–Present) and Teaching Assistant (2022–2023), mentoring in courses like Robotic Algorithms and Data Intensive Computing . His work is conducted in the DRONES Lab under Professor Karthik Dantu.
Yannick Wey is a Lecturer at the Competence Center for Music Education Research (CC MER) within the Lucerne School of Music at Lucerne University of Applied Sciences and Arts (HSLU). His roles include academic teaching, research coordination, and interdisciplinary collaboration in musicology and ethnomusicology. He holds a PhD from the University of Innsbruck, an MA and BA in Trumpet Performance from Zurich University of the Arts, and has conducted extensive research on Alpine music traditions. Education: PhD in Musicology, University of Innsbruck (2019) MA and BA in Trumpet Performance, Zurich University of the Arts His research focuses on Swiss folk music traditions , including yodeling, alphorn performance, and the cultural history of instruments like the Büchel. He examines musical transcription practices, cognitive aspects of folk music learning, and the intersection of music education with digitalization. Current projects explore Amazonian sound collaboration, KI applications in Alpine music, and safeguarding musical heritage archives. Notable contributions include studies on alphorn tonal reconstruction, dulcimer cultural development, and machine learning classification of yodel styles. His work appears in journals like Music & Science , Journal of Music Research Online , and Anthropos . Awards: SEMPRE 50th Anniversary Commemorative Collection recognition (2022) Nominated for Preis der deutschen Schallplattenkritik (2022) He actively organizes academic events like the Performing, Engaging, Knowing conference and chairs the ICTM Study Group on Multipart Music. His research integrates fieldwork, archival studies, and cross-cultural analysis to preserve and reinterpret Alpine musical heritage.
Professor Sebastian Sardina is a Professor in Artificial Intelligence at RMIT University's School of Computing Technologies. He holds a Bachelor's from South National University (Argentina) and a PhD from the University of Toronto (Canada). His research focuses on AI for dynamic systems, including automated planning, knowledge representation, and agent-oriented programming. He has contributed to enhancing agent programming languages with learning capabilities and advanced AI planning techniques. His work frequently appears in top AI venues like IJCAI and AAAI, with notable best paper nominations. Teaching interests include foundational CS courses such as Theory of Computation and Intro to AI. He actively promotes computational thinking through workshops for youth and educators, including roles in Victorian curriculum development (VCE Algorithmics). Supervision projects span hand gesture recognition, autonomous vehicle safety, and goal recognition in path-planning. His research has been presented globally and applied across domains like aviation safety, manufacturing systems, and healthcare. Recent trends in his publications emphasize goal recognition techniques (e.g., process mining applications), agent behavior modeling, and interdisciplinary AI applications in healthcare and automotive engineering. He has collaborated with industry and academic partners internationally, contributing to both theoretical advancements and practical AI solutions. Scientific Recognition: Multiple best paper nominations in AI conferences. Community Engagement: MAV conference presenter, VCAA Algorithmics curriculum panel member (2023). Supervision: Active mentor for 4+ research projects in AI planning and recognition.
Otavio A Bueno is a Professor and Chair of the Philosophy Department at the University of Miami's College of Arts and Sciences, holding the distinguished position of Cooper Senior Scholar in Arts and Sciences. His academic leadership spans teaching, research administration, and interdisciplinary collaboration across multiple institutions including the University of South Carolina and California State University, Fresno. Education: Ph.D. in Philosophy, University of Leeds, UK (1999) M.A. in Philosophy, University of São Paulo, Brazil (1996) B.A. in Philosophy, University of São Paulo, Brazil (1993) Bueno's research bridges philosophy of science, mathematics, and logic through an empiricist framework compatible with mathematical nominalism. He investigates visual evidence in scientific reasoning through microscopic imaging, explores logical pluralism tied to modal epistemology, and develops frameworks for understanding scientific continuity via styles of reasoning. His work on quantum mechanics connects identity to fundamentality while his revival of Pyrrhonism offers a non-dogmatic empiricist approach to skepticism. The integration of philosophy of art with scientific representation demonstrates his interdisciplinary reach across metaphysics, epistemology, and aesthetics. His publication trends reveal sustained engagement with foundational questions in mathematics and logic, increasingly focusing on heuristic methods, counterpossibles, and conceptual engineering. Recent work emphasizes the process-oriented nature of mathematical practice while challenging traditional ontological assumptions through deflationary approaches. Scientific Awards: Distinguished Achievement in Research Award, CSU Fresno (2001-2002) Multiple Research, Scholarship, and Creative Activities Awards Teaching Innovation Awards for course development Prestigious Research Fellowships from CAPES Brazil and UK academic bodies Bueno has secured substantial research funding including NSF grants totaling over $2.8 million for nanotechnology projects and Brazilian CNPq funding for styles of scientific reasoning research. His collaborative projects with medical ethicists like Robin Neiman demonstrate applied philosophy in evidence-based medicine. As department chair and frequent course developer across all academic levels, he has mentored numerous graduate students while creating innovative curricula in philosophy of science, logic, and interdisciplinary studies. Current projects focus on conceptual engineering and the epistemology of mathematical practice within his research group at the University of Miami.
Thomas C Henderson is a tenured Professor at the School of Computing within the College of Engineering at the University of Utah. His research focuses on autonomous systems , computational models , and intelligent machine systems , with specific interests in biosystem simulation, distributed systems, and adaptive algorithms. He has contributed to Bayesian sensor networks , UAS traffic management , and probabilistic logic frameworks for intelligent agents. Current academic appointments since 1989 Adjunct roles in Biomedical Engineering Active in IEEE committees (2024-2025) Research trends in recent publications emphasize autonomous aircraft coordination , probabilistic reasoning , and multi-sensor integration . Key subfields include lane-based airspace modeling, reinforcement learning for UAS, and pseudogradient navigation techniques. His work has received recognition through a Best Paper Award (IEEE 2008) and the US Air Force Summer Faculty Fellowship . Strategic deconfliction protocols Dynamic data-driven applications Structural health monitoring systems He actively mentors undergraduate research through courses like Deep Learning Capstone and Senior Capstone Design . Current grants include "Deep Learning in AI and Robotics" (2024-2029) and "Robust Reasoning using Geometric SAT/PSAT" (2022-2023).
Victoria Mateu is an Associate Professor of Hispanic Linguistics at the University of California, Los Angeles (UCLA), Department of Spanish and Portuguese, where she joined in 2019 after completing her Ph.D. in Linguistics at UCLA and serving as Lecturer in Linguistics and Lab Manager of the UCLA Language Lab. Her educational background includes: Ph.D. in Linguistics, University of California Los Angeles (2016) M.A. in Linguistics, University of California Los Angeles (2013) B.A. in English Philology, Universidad de Granada, Spain (2011) Dr. Mateu's research employs experimental methodologies to investigate language representation across populations, with core focus on Spanish acquisition in children and adults. Her work examines morphosyntactic constraints, crosslinguistic differences between Spanish/English, language processing mechanisms, and word segmentation in monolingual/bilingual infants. She explores how developmental paths reveal underlying grammatical structures through both naturalistic and experimental paradigms. Recent publications demonstrate strong trends in intervention effects across syntactic domains (passives, sluicing, wh-questions) with expanding cross-linguistic scope (Mandarin, Italian) and methodological innovation through large-scale collaborations. Her work bridges theoretical syntax with developmental psycholinguistics, emphasizing experimental rigor in child language research. Her scientific recognition includes: UCLA Social Impact Collaborative Seed Grant ($50,000) for ‘A community-centered approach to supporting dual language learning’ Dr. Mateu actively mentors graduate students as evidenced by co-authored publications with emerging scholars. Her current grant-funded project with Megha Sundara and Laurel Perkins develops community-centered approaches to dual language support, reflecting commitment to applied linguistic research. She serves as course instructor for advanced syntax and language acquisition seminars. As former Lab Manager of the UCLA Language Lab and current contributor to the international ManyBabies Consortium, she participates in large-scale initiatives addressing methodological challenges in infant research through multi-lab collaborations.
