Brian Ingalls is a Professor in the Department of Applied Mathematics and cross-appointed to Biology at the University of Waterloo. His research applies mathematical and control-theoretic approaches to biological systems, including genetic regulatory networks, microbial communities, and cellular metabolism. Institutional Affiliation: Faculty of Mathematics, University of Waterloo Contact: bingalls@uwaterloo.ca His work focuses on systems biology and synthetic biology , particularly sensitivity analysis of biochemical networks, optimal experimental design, and mathematical modeling of cellular processes. Research funding comes from NSERC and CIHR . Notable contributions include the textbook Mathematical Modeling in Systems Biology (MIT Press, 2013) and the Ingalls Quantitative Cell Biology Lab , which investigates intracellular and intercellular network dynamics through computational and experimental methods. Key Collaborations: iGEM Waterloo, Chemical Engineering, and international synthetic biology networks Advising: Mentored 15+ graduate students and postdocs across applied math, biology, and engineering fields
Ricardo Valerdi is a Professor and Department Head in the Department of Systems and Industrial Engineering at the University of Arizona's College of Engineering. He is a Distinguished Outreach Professor, Faculty Athletics Representative for the Big 12 Conference and NCAA, and a member of the Graduate Faculty. His academic journey includes positions at MIT (2005–2011) and continuous service at the University of Arizona since 2011, with current roles beginning in 2018 and ongoing leadership since 2020. His educational background includes a PhD in Industrial and Systems Engineering from the University of Southern California, an MS in System Architecture and Engineering from the same institution, and a BS in Electrical Engineering from the University of San Diego. Valerdi's research spans systems engineering, cost estimation, model-based systems engineering (MBSE), digital engineering, sports analytics, and test and evaluation of complex systems. He is renowned for his work on the Constructive Systems Engineering Cost Model (COSYSMO) and has pioneered the integration of virtual reality with MBSE. His recent publications reflect a strong focus on executable modeling, systems thinking education, cost modeling convergence, and applications in space and defense systems. His body of work from 2020 to 2025 shows a consistent trajectory in advancing digital engineering tools, integrating immersive technologies into systems design, refining parametric cost models, and assessing systems thinking competencies in education. The publications emphasize interdisciplinary applications, including space missions, ERP systems, and cyber resiliency, demonstrating a blend of theoretical and applied systems engineering. Best paper award, Journal of Systems Engineering International Council of Systems Engineering, Summer I 2016 Foreign Member, Mexican Academy of Engineering, Summer I 2016 Frank Freiman Award for Lifetime Achievement in Cost Estimation and Parametric Modeling, International Cost Estimating & Analysis Association, Fall 2015 Dr. Valerdi has advised numerous graduate students and led educational initiatives integrating industry-focused projects. He founded and co-edited the Journal of Enterprise Transformation and served as editor-in-chief of the Journal of Cost Analysis and Parametrics. He has received significant recognition and grants supporting research in systems engineering cost modeling, human systems integration, and digital transformation. His leadership extends to service as a Fulbright Scholar, visiting professor at West Point, and visiting fellow of the UK Royal Academy of Engineering. He leads research teams focused on cost estimation, digital engineering, and systems integration, often collaborating with defense and aerospace stakeholders. His labs and initiatives emphasize virtual reality integration, executable modeling, and systems thinking assessment. Future work is expected to further explore AI-driven cost models, digital twins for complex systems, and scalable frameworks for MBSE adoption across domains.
Arun Rai serves as Regents’ Professor and Howard S. Starks Distinguished Chair at Georgia State University's Robinson College of Business, where he co-founded and directs the Center for Digital Innovation. His career spans interdisciplinary research bridging information systems with societal impact through industry-university collaborations across global sectors. His educational foundation includes: Ph.D. from Kent State University MBA from Clarion University of Pennsylvania M.S. from Birla Institute of Technology & Science Rai's research explores digital innovation , AI governance , and societal impacts of technology through investigations of platform ecosystems, supply chain transformation, and digital solutions for poverty and health disparities. His work uniquely connects technical systems design with behavioral and organizational outcomes across contexts from rural India to global corporations. Recent publications (2023-2025) reveal intensifying focus on AI-human collaboration , digital risk assessment , and platform governance tensions , with growing emphasis on healthcare applications and equity implications. The trajectory shows evolution from organizational IT adoption toward complex sociotechnical systems addressing global challenges. His scientific recognition includes: Fellow of the Association for Information Systems Distinguished Fellow of the INFORMS Information Systems Society LEO Award for Lifetime Exceptional Achievement Rai has mentored over 60 doctoral students (30+ as chair) with alumni now holding leadership positions globally. His research attracts major funding from Apollo Hospitals, China Mobile, IBM, Intel, UPS, and federal agencies, enabling real-world implementations like the Global Supply Chain Solutions Program during UPS's digital transformation. Current initiatives focus on generative AI in education and healthcare IT policy impacts. As director of the Center for Digital Innovation, he cultivates cross-sector partnerships advancing digital transformation through collaborative research on AI governance, platform ecosystems, and societal impact measurement.
Murali Mani is a Professor in the Department of Computer Science, Engineering, and Physics at the College of Innovation and Technology, University of Michigan-Flint. He is actively involved in teaching courses such as Database Design (CSC 384, CSC 584) and Independent Graduate Study in Computer Science (CSC 591), and serves as Principal Investigator on multiple research grants focused on computing education and data science. His research interests span database systems, data provenance, generative AI for data augmentation, computing education, and the societal impact of technology . He has developed educational tools including epidemiology calculators and market basket analysis modules to support interdisciplinary learning. His work emphasizes integrating computing skills across disciplines such as health sciences and management. The 15 most recent scholarly contributions reflect a strong focus on data management, AI-augmented data curation, educational technology, and the cognitive aspects of learning programming. These publications appear in venues such as VLDB, IEEE FIE, and ACM conferences, with several under review or in preparation for top-tier journals like Communications of the ACM and the VLDB Journal. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Murali Mani actively mentors students through independent graduate studies and collaborative research projects. He has secured funding from the National Science Foundation (SGER grant on provenance metadata) and internal university sources, including the CIT/CHS Joint Grant and the Office of Research at UM-Flint, supporting projects on civic literacy, computational skills integration, and AI for social science data archiving. Labs and Teams: While no formal lab name is mentioned, Murali Mani leads a research group focused on data systems and computing education, collaborating with colleagues across departments and institutions. He contributes to initiatives such as the Michigan Institute for Data & AI in Society (MIDAS) and the Academic Data Science Alliance (ADSA), and has presented at conferences including IASSIST, FIE, and ICCTAC.
Andrew Riseman serves as an Associate Professor in the Department of Applied Biology within the Faculty of Land and Food Systems at the University of British Columbia. His academic work bridges sustainable agricultural systems, plant breeding, and educational innovation, with particular emphasis on integrated crop-livestock models and urban farming applications. His educational background includes: PhD from Pennsylvania State University (1997) MSc from Pennsylvania State University (1990) BSc from Pennsylvania State University (1984) Riseman's research program investigates plant genetics for sustainable production systems, focusing on intercrop interactions, nutrient use efficiency, root physiology, and biotic/abiotic stress resistance. He develops germplasm specifically for multi-trophic production environments and urban agriculture contexts. Complementing his biological research, he actively engages in the Scholarship of Teaching and Learning and Community Based Action Research, with interests in critical thinking pedagogy and technology-enhanced educational environments. Analysis of his 2011-2015 publications reveals consistent investigation into intercropping dynamics (wheat-bean, barley-pea), nutrient cycling, and water management across diverse cropping systems. Key contributions include evaluations of organic production methods, root architecture variation, and sustainable rice intensification techniques, demonstrating a systems-oriented approach to agroecological challenges. No scientific awards or honors were documented in the provided source material. As a graduate supervisor, Riseman mentors students in UBC's Integrated Studies in Land and Food Systems and Plant Science programs. His research portfolio includes funded projects on bioactive agricultural formulations, plant genetics in intercropping systems, and nitrogen source evaluations in organic production. Educational grants have supported his development of computer simulations for plant breeding education and scaffolded experiential learning initiatives within Land and Food Systems curriculum. Riseman maintains active affiliation with the Centre for Sustainable Food Systems at UBC Farm and the Diversified Agroecosystem Cluster. He champions the UBC Farm as a vital academic resource for sustainable food system research, teaching, and community outreach, viewing its continued evolution as essential to advancing land and food systems scholarship.
Fred Feinberg is the Joseph and Sally Handleman Professor of Marketing and Professor of Statistics (by courtesy) at the University of Michigan, where he is also an Affiliated Faculty member of the Center for the Study of Complex Systems. His work integrates advanced Bayesian methods with large-scale marketing data to illuminate how people make choices under uncertainty. Education Ph.D., Sloan School of Management, Massachusetts Institute of Technology (1989) Doctoral program in Mathematics, Cornell University (1983–84) S.B. Mathematics & S.B. Philosophy, Massachusetts Institute of Technology (1983) Research Focus Feinberg’s scholarship centers on discrete choice models that leverage real-world decisions to infer latent attributes such as demographics, product appeal, and socioeconomic status. Methodologically, he employs Hierarchical Bayes (HB) models and cutting-edge MCMC algorithms to handle massive data sets, while theoretically he advances dyadic utility theory and optimal search under uncertainty. Applications span click-through behavior, menu-based choice, online dating preferences, spatial marketing, and consumer reactions to intangible or aesthetic product features. Recent empirical studies explore the wearout versus weariness effects of online advertising, the impact of data breaches on consumer behavior, and dynamic pricing for digital media subscriptions. Across these projects, Feinberg couples rigorous statistical innovation with actionable managerial insights, bridging marketing science, operations, and engineering. Scientific Awards & Leadership Joseph and Sally Handleman Endowed Professorship Past President, INFORMS Society for Marketing Science Departmental Editor, Production and Operations Management Former Co-Editor, Marketing Science Co-author (with T. Kinnear & J. Taylor) of the textbook Modern Marketing Research: Concepts, Methods, and Cases Grants & Collaborations While explicit grant lists are not provided, Feinberg’s prolific publication record in top-tier journals (e.g., Journal of Marketing Research , Marketing Science , Management Science ) and editorial board service imply sustained external funding and interdisciplinary partnerships, particularly with operations, engineering, and computer-science groups. Laboratories & Teams Feinberg is formally affiliated with the Center for the Study of Complex Systems (CSCS) at the University of Michigan, where he collaborates on network-based choice frameworks and large-scale behavioral data analytics. He maintains active ties to the Ross Marketing faculty and the Department of Statistics, fostering joint workshops and doctoral training initiatives.
Professor Fabian Waleffe is an Applied Mathematician at the University of Wisconsin, Madison, holding a joint appointment between the Department of Mathematics and the Department of Engineering Physics. His academic career spans multiple decades with extensive teaching experience at both UW Madison and MIT. Professor Waleffe's primary research focuses on the fundamental problem of turbulence in fluid flows and its relation to Exact Coherent States. He developed the Self-Sustaining Process theory for shear flows, which provides an ab initio method to discover families of 3D traveling wave solutions of the Navier-Stokes equations in all canonical shear flows. His research also encompasses geophysical flows and computational methods for solving partial differential equations, including spectral integration methods and numerical techniques for incompressible flows. His publication record demonstrates consistent focus on hydrodynamic instabilities, turbulence, and coherent structures. Recent work examines optimal heat transport in Rayleigh-Bénard convection, streak instability, and near-wall turbulence, integrating theoretical analysis, numerical computation, and physical insight to address fundamental questions in fluid dynamics. His research has evolved from early work on triad interactions in homogeneous turbulence to the current focus on exact coherent structures that form the 'backbone' of turbulent shear flows. Professor Waleffe has taught extensively across the mathematics and engineering curriculum. He has taught Math 321 (Vector and complex calculus for the physical sciences) for 29 semesters at UW Madison, along with numerous other undergraduate and graduate courses. His teaching spans from introductory calculus to advanced graduate topics in hydrodynamic instabilities and turbulence, reflecting his deep commitment to mathematical education in the physical sciences.
Yoon Jung Choi serves as Assistant Professor in Industrial Design within the School of Design at Virginia Tech, where she bridges sustainable design, behavioral science, and technology to advance circular economy principles through interdisciplinary research and industry collaboration. Her academic credentials include: Ph.D. in Innovation Design Engineering from the Royal College of Art, UK M.A. in Graphic Communication Design from Kingston University, UK B.A. in Product Design from Central Saint Martins, University of the Arts London, UK Choi's research centers on accelerating sustainability in industrial design through behavioral interventions and technological innovation. She investigates how design influences consumer behavior to reduce waste, extend product lifecycles, and enable circular material flows, with particular emphasis on children's products, packaging systems, and community-driven co-design approaches. Her work integrates participatory methods with AI applications to develop practical solutions for real-world sustainability challenges. Analysis of her publication portfolio reveals consistent focus on circular economy implementation, with recurring themes in product hibernation, care practices for material longevity, and systemic approaches to waste reduction. Her research demonstrates growing integration of AI-driven methodologies and community engagement strategies across diverse contexts including food waste transformation and toy reuse systems. Her scientific recognition includes: New Faculty Teaching Award, School of Design, Virginia Tech (2023) College Scholarship, Royal College of Art, UK (2015) Toshiba Hard Disc Drive Revolution Design Competition Highly Commended Award (2005) ICI Dulux Student Design Award Runner-up Prize (2001) Choi has secured significant research funding including VT Engage Development funds for community collaboration with SustainFloyd, Center for Human-Computer Interaction matching funds, and multiple ICAT SEAD grants supporting projects like ToySphere (focusing on toy reuse systems) and Sustainable Art Painting initiatives. Her ten years of industry experience at major design consultancies including Samsung Design Europe informs her practical approach to academic research. She leads the ToySphere project employing co-design methods to transform food waste into natural pigments and develop community-based reuse systems, demonstrating her commitment to translating research into tangible environmental solutions through interdisciplinary team collaboration.
Markus König is a Professor of Informatics in Civil Engineering at Ruhr University Bochum, where he has been researching and teaching since October 2009. His work focuses on Building Information Modeling (BIM), digital construction technologies, and civil engineering informatics, with significant contributions to the development and implementation of digital methods in German construction industry. Dr. König earned his degree in civil engineering with a focus on applied computer science at Leibniz University Hannover, where he also completed his doctorate on cooperative building planning at the Institute for Building Informatics. He subsequently held a junior professorship for Theoretical Methods of Project Management at Bauhaus University Weimar before joining Ruhr University Bochum. His research spans multiple cutting-edge areas including Building Information Modeling (BIM), construction process simulation, tunneling informatics, infrastructure asset management, and the application of artificial intelligence and computer vision in civil engineering. As chair of the Building Informatics Working Group from 2012-2016, he played a key role in developing the first national BIM curriculum for German universities and serves as editor of the book 'Building Information Modeling: Technological Foundations and Industrial Practice.' Analysis of his recent publications reveals a strong trend toward semantic technologies, digital twins, automated compliance checking, and the integration of AI in construction processes. His work increasingly focuses on information containers, ontology development, and the application of large language models to infrastructure data, reflecting the evolving landscape of digital construction. Dr. König's significant contributions to digital construction have been recognized with prestigious awards: Lower Saxony-Bremen Construction Industry Award (2017) for 'services in the development and introduction of digital construction in Germany' Konrad Zuse Medal (2020) While specific details about his advising and grant activities aren't explicitly mentioned in the provided text, his extensive publication record with numerous co-authors suggests active supervision of doctoral students and research staff. His involvement in multiple collaborative research projects is evident from his publication history. At Ruhr University Bochum, Professor König leads a research group focused on civil engineering informatics, with particular emphasis on BIM, digital construction technologies, and their application across the building lifecycle. His team appears to work at the intersection of computer science and civil engineering, developing innovative solutions for construction process optimization, infrastructure management, and digital transformation of the AEC industry.
Brian Magerko is Professor of Digital Media in the School of Literature, Media, and Communication at Georgia Institute of Technology , where he also serves as Director of Graduate Studies for the Digital Media program and holds an adjunct appointment in the School of Interactive Computing . He directs the Expressive Machinery Lab and has led over $20 million in federally funded research at the intersection of cognition, computation, and creativity. Education Ph.D. Computer Science and Engineering, University of Michigan (2006) M.S. Computer Science and Engineering, University of Michigan (2001) B.S. Cognitive Science (minor Computer Science & Jazz Performance), Carnegie Mellon University (1999) Research Interests Dr. Magerko’s scholarship integrates cognitive science , AI , and computational media to investigate three core themes: (1) social and creative collaboration between humans and AI; (2) design of interactive narrative, music, and arts-based computational experiences; and (3) inclusive STEAM education that leverages personal expression—most notably through the widely-adopted EarSketch platform, which engages learners in computer science via music remixing and coding. Publication Trends Recent publications (2022-2025) reveal a surge in work on generative and co-creative AI systems , AI literacy frameworks , and accessible computing education . Studies span dance improvisation agents (LuminAI), inclusive design for blind and visually-impaired learners, and large-scale evaluations of creativity and learning outcomes in EarSketch classrooms across the United States. Awards & Honors Methods Paper Recognition, ACM CSCW 2022 Best Paper Award, ACM Creativity & Cognition 2021 & 2017 Ivan Allen College Researcher of the Year 2018 NCWIT Engagement Excellence Award 2017 Multiple Best Student Paper Awards (AIED 2021, ICCCI 2021) CETL Thank-a-Teacher Award 2008 Grants & Advising Dr. Magerko has served as PI or Co-PI on numerous NSF, NEA, and private foundation grants totaling more than $20 million. His projects fund interdisciplinary teams of graduate and undergraduate students, post-docs, and external collaborators, producing open-source software, museum installations, and K-12 curricula. Labs & Teams As head of the Expressive Machinery Lab , he mentors researchers creating AI partners for dance, drawing, music, and storytelling. The lab’s artifacts have been exhibited at the Smithsonian, ArtScience Museum Singapore, MoogFest, and other international venues.
Prof. Dr. Ahmet ÖZMEN is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Software Engineering. He has held various administrative positions including Head of the Software Engineering Department (2019-2028) and Director of the Computer Research and Application Center (2019-2022). With extensive experience in academia since 1991, he has made significant contributions to computer vision, traffic monitoring systems, and sensor technologies. Sakarya University: Professor (2019-present), Associate Professor (2011-2019) Dumlupınar University: Assistant Professor (2001-2011), Research Assistant (2000-2001, 1993-1998) Istanbul Technical University: Research Assistant (1991-1993) Prof. ÖZMEN's research spans computer vision applications for traffic monitoring, indoor air quality systems, parallel computing, and sensor technologies. His work bridges theoretical computer science with practical engineering applications, particularly in developing vision-based systems for nighttime vehicle detection, traffic flow monitoring, and environmental sensing. His interdisciplinary approach combines machine learning, image processing, and embedded systems to solve real-world problems in transportation and environmental monitoring. His publication record shows a clear evolution from parallel and distributed systems in his early career to computer vision and sensor applications in recent years. The majority of his recent work focuses on traffic monitoring systems using computer vision techniques, particularly for nighttime conditions, and indoor air quality monitoring systems using sensor networks. His research demonstrates strong industry and societal relevance, with applications in smart transportation, environmental protection, and educational technology. TÜBİTAK Publication Awards (2006, 2008, 2009, 2010) Physical implementation award from TÜBİDER (2008) Microsoft Certified Professional Certificate (2005) YÖK overseas study scholarships (1993, 1998) Elginkan graduate scholarships (1990, 1991) Prof. ÖZMEN has supervised numerous graduate students across multiple institutions, with a focus on practical engineering problems. His research has been supported by various projects including TÜBİTAK projects, institutional research grants, and industry collaborations. He has led significant research initiatives in traffic monitoring systems, indoor air quality monitoring, and educational technology platforms. His administrative leadership has included directing research centers and shaping curriculum development in software engineering. His work has involved establishing research teams focused on computer vision applications, sensor network development, and educational technology. These teams have produced numerous publications, developed practical systems, and trained the next generation of computer engineers. Current research directions include advanced traffic monitoring systems using deep learning and multi-camera setups for urban planning applications.
Meghan Allen is the Associate Head of Undergraduate Affairs and Associate Professor of Teaching in the Department of Computer Science at the University of British Columbia (UBC). She specializes in computer science education, with a focus on inclusive pedagogy, curriculum design, and teaching methodologies. Her work addresses challenges faced by English Language Learners (ELLs), non-majors, and diverse student populations in STEM education. Allen has taught numerous introductory computer science courses, including CPSC 107, 110, 121, and 210, emphasizing practical programming skills and systemic program design. Allen's research spans autograding innovations, student engagement strategies, and the efficacy of online learning tools. She has co-authored studies on technical writing in CS, universal design principles for accessibility, and the role of experiential learning in software engineering education. Her work is informed by partnerships with students and faculty in Scholarship of Teaching and Learning (SoTL). Awards: Incredible Instructor Awards; UBC CS Teaching Award (2007); multiple TA Teaching Awards. Leadership: Oversees undergraduate affairs in the UBC CS Department, including course coordination and academic policies. Publications: 15+ peer-reviewed articles on education innovation, including recent works on autograding systems and ELL support strategies. Her office is located in the ICCS Building room 243, and she actively contributes to departmental initiatives like the CPSC 110 Challenge Exam process. Allen advocates for inclusive curricula and has pioneered strength-based evaluation approaches to improve student outcomes.
Dr. Deniz Ortactepe Hart is a Lecturer in TESOL at the University of Glasgow, specializing in social justice language education. She joined the university in 2022 and has extensive experience across Turkey, the US, and the UK in teacher training and educational research. Her roles include founding convenor of the BAAL Language and Education for Social Justice SIG and coordinator of ELINET’s Language and Social Justice strand. Her research focuses on teaching languages for diversity, equity, and social transformation. Notable projects include the Social Justice in ELT initiative in Turkey (2018–2022) and collaborations with California’s Migrant Education Office. She authored Social Justice and the Language Classroom (2023) and is co-editing volumes on environmental and language justice. Her articles emphasize anti-oppressive digital spaces, culturally sustaining pedagogies, and identity重构 in multilingual contexts. Current research explores intersectional identities and environmental justice representation. She teaches courses like Which English? Sociolinguistics and Language Teaching and supervises students in social justice education and environmental justice. Grants include the British Council-funded project on feminist pedagogies (2024–2025) and leadership in Turkish migrant education initiatives (2018–2022). She actively engages in invited talks and professional memberships with TESOL, AAAL, and BAAL.
Andrew Burton-Jones is a Professor of Business Information Systems at The University of Queensland Business School, where he also serves as co-lead of the Future of Health Research Hub and Chair of the Education Steering Committee of the Queensland Digital Health Centre. He is affiliated with multiple research centers including the Centre for the Business and Economics of Health, Centre for Enterprise AI, and Queensland Digital Health Centre across different faculties at UQ. His educational background includes a Bachelor (Honours) of Commerce and Master of Commerce from The University of Queensland, followed by a PhD from Georgia State University. With extensive international experience, he previously served as a tenured Associate Professor at the University of British Columbia before returning to UQ in May 2012. Burton-Jones' research focuses on three interconnected areas: organizational effectiveness in IT use (particularly electronic health records in healthcare settings), methods for analyzing and designing IT systems, and theoretical development within the Information Systems discipline. His work bridges academic theory with practical healthcare applications, with strong emphasis on digital transformation in health services. His recent publications reveal a strong focus on digital health applications, electronic medical records, and digital transformation in healthcare contexts. There's also significant attention to theoretical development in information systems, platform generativity, and research methodology. The work shows increasing integration of healthcare contexts with information systems theory. Fellow of the Association for Information Systems Fellow of the Academy of Social Sciences of Australia Editor-in-Chief of MIS Quarterly (2021-2023) President of the Association for Information Systems (2024-2025) Representative for the Americas for the Association of Information Systems International Representative for the Academy of Management (OCIS/CTO Division) Burton-Jones has supervised numerous PhD students across various topics related to digital health, information systems, and organizational transformation. He has secured substantial research funding including the UQ-QH HDR Alliance Program (2021-2027), ARC Training Centre for Information Resilience (2021-2026), and multiple Digital Health CRC grants. His leadership extends to helping found UQ's Graduate Certificate in Clinical Informatics and Digital Health. He is actively involved in the Future of Health Research Hub, Queensland Digital Health Centre, and Centre for Enterprise AI, where his work focuses on addressing real-world healthcare challenges through information systems research and digital transformation initiatives.
Dr Ares Llop Naya serves as an Affiliated Catalan Lecturer in the Department of Spanish and Portuguese within the Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge, while holding the Batista i Roca Fellowship at Fitzwilliam College. Her academic profile bridges theoretical linguistics with practical language pedagogy, focusing on Romance language structures and their educational applications. Her research centers on microsyntactic variation in Romance languages, particularly examining negation systems and syntactic phenomena in Catalan and Pyrenean varieties through both diachronic and synchronic lenses. She actively integrates theoretical insights into language teaching methodology, specializing in Catalan and Spanish pedagogy for both native and foreign language contexts. This dual focus manifests in her publications spanning syntactic theory, dialectology, and innovative language teaching approaches that address contemporary classroom challenges. Analysis of her publication trajectory reveals consistent thematic concentration on Romance microvariation, with recent work expanding into pedagogical applications. Her scholarship demonstrates methodological diversity—combining linguistic atlas data, corpus analysis, and classroom research—while maintaining core focus on Catalan syntax and its implications for language acquisition theory. The Pyrenean linguistic corridor remains a persistent geographical anchor across her diachronic and synchronic investigations. Dr Llop Naya's scholarly contributions have been recognized through prestigious awards: Joan Solà International Prize in Catalan Philology for her monograph on Romance negation systems Her teaching portfolio encompasses advanced courses in Romance linguistics, historical syntax, and sociolinguistics, with particular emphasis on translating theoretical frameworks into practical classroom resources. While specific grant funding details aren't publicly documented, her work consistently addresses real-world language education challenges through collaborative projects like the Microvariació.cat initiative. She contributes to the Microvariació.cat project—a digital repository documenting syntactic variation across Catalan dialects—which serves as both research infrastructure and pedagogical resource. This initiative exemplifies her commitment to creating practical applications from theoretical linguistic research while preserving endangered dialectal features of the Romance continuum.
