جست‌وجوی استاد و پژوهشگر

• modality
• philosophy of religion
• philosophical logic
• +۲ مورد دیگر

Professor Scott A. Shalkowski is a faculty member in the Department of Philosophy at the University of Leeds, part of the School of Philosophy, Religion and History of Science. He holds the academic rank of Professor and specializes in modality, philosophy of religion, philosophical logic, and the epistemology of religious belief. His work bridges metaphysics, epistemology, and the philosophy of religion, with a focus on modal epistemology and theoretical virtues. Education: PhD in Philosophy, University of Michigan BA in Philosophy, Houghton College Research Interests: Shalkowski’s research explores modal epistemology, method in metaphysics, mathematical nominalism, and the epistemology of religious belief. He has contributed to debates on logical pluralism, modal realism, and the relationship between science and religion. Publications: His work spans topics like modal logic, theoretical virtues, and metaphysical frameworks. Notable articles include Modal Epistemology for Modalists (2023) and Modalism and Logical Pluralism (2009). His research often emphasizes empirical grounding in philosophical theorizing. Awards: Shalkowski has received awards from the National Endowment for the Humanities, Australian Research Council, and British Academy. He was also nominated for an Excellence in Teaching Award. Grants & Labs: His research has been supported by grants from major funding bodies. He contributes to interdisciplinary discussions through his work in the Centre for Philosophy of Religion and Theology and the Centre for Theoretical Philosophy at Leeds.

Oana Cocarascuمشاهده پروفایل

مدرس ارشد

• Argument mining
• Explainable AI
• Machine learning
• +۵ مورد دیگر

Dr. Oana Cocarascu is a Senior Lecturer in Artificial Intelligence at the Department of Informatics, Faculty of Natural, Mathematical & Engineering Sciences, King's College London. She holds a PhD and MEng in Computing (Artificial Intelligence) from Imperial College London and conducts applied research focusing on how artificial intelligence can be deployed to support real-world applications, with machine learning and natural language processing as core components of her work. Her research interests span argument mining, explainable AI, machine learning, natural language processing, and symbolic reasoning. She is particularly focused on developing AI systems that can provide transparent, accountable, and ethical decision-making processes. Her work addresses critical challenges in bias mitigation, fairness metrics, fact verification systems, and argumentation-based explanations for complex AI decisions. Analysis of her recent publications (2023-2025) reveals a strong focus on fairness in AI systems, with particular attention to individual fairness metrics and nuanced evaluation frameworks. She has made significant contributions to fact verification systems, especially in multimodal contexts involving charts and tabular data. Her work increasingly integrates argumentation theory with natural language processing to create explainable AI systems that can justify their decisions through structured reasoning. Dr. Cocarascu leads an EPSRC-funded project titled 'A framework for evaluating and explaining the robustness of NLP models' (2024-2027) and is actively involved in the Natural Language Processing Group at KCL. Her research fingerprint shows strong activity in argumentation (100%), decision-making (74%), artificial intelligence (50%), explainable AI (39%), and bias mitigation (35%). She has contributed to numerous high-impact publications in top venues including ACL, EMNLP, AAAI, and the Journal of Artificial Intelligence Research, with a particular focus on making AI systems more transparent, accountable, and aligned with human values. Her work intersects with UN Sustainable Development Goals, particularly those related to reducing inequality and building resilient infrastructure.

• Quantum-safe cryptography
• Lattice-Based Cryptography
• Post-Quantum Cryptography
• +۴ مورد دیگر

Ron Steinfeld is an Associate Professor in the Department of Software Systems & Cybersecurity at Monash University, Australia. He holds editorial roles in Designs Codes and Cryptography (since 2017) and has served on technical committees for top-tier conferences like ASIACRYPT, CRYPTO, and EUROCRYPT. His research focuses on quantum-safe cryptography, lattice-based cryptography, and blockchain security, with over 80 refereed publications and AUD$4M+ in research funding. Education: BSc Mathematics and Physics (Monash University, 1998) BE (Hons., First Class) Electrical and Computer Systems (Monash University, 2000) PhD Computer Science (Monash University, 2003) Research Interests: Design and analysis of cryptographic algorithms, quantum-safe protocols, lattice-based security foundations, and blockchain applications. His work underpins NIST standard algorithms like Kyber and Dilithium through structured lattice problem research. Recent Articles Trends: Focus on privacy-preserving blockchain protocols, post-quantum signature schemes, encrypted data search, and cryptographic applications in adversarial AI. Recent work includes fair Bitcoin watchtower schemes and genomic database privacy solutions. Awards: ASIACRYPT 2015 Best Paper Award Advising & Grants: Supervises PhD projects on quantum-safe cryptography and blockchain security. Leads initiatives like the AUD$4M ARC-funded Quantum Information Technology project. Collaborates with industry partners including CSIRO/Data61. Labs/Teams: Key contributor to Monash’s cybersecurity and cryptography research groups, involving interdisciplinary projects on materials discovery ( Æinstein initiative) and post-quantum blockchain security.

Michael Potterمشاهده پروفایل

استاد

• History of Analytic Philosophy
• Philosophy of Mathematics
• Philosophical Logic
• +۵ مورد دیگر

Michael Potter is Professor of Logic at the Faculty of Philosophy , University of Cambridge, and a Life Fellow at Fitzwilliam College. Previously at Balliol College, Oxford (D.Phil. in pure mathematics), he has held research fellowships at St Andrews, Harvard, and Stirling University (AHRC-funded). His work bridges historical and systematic philosophy, focusing on History of analytic philosophy (Frege, Russell, Wittgenstein, Ramsey) Philosophy of mathematics and logic Philosophy of religion Potter's research has produced major works like Set Theory and its Philosophy (OUP 2004) and The Rise of Analytic Philosophy (Routledge 2019), with significant contributions to understanding the Metaphysical underpinn't> of the Tractatus Neo-Fregean logicism Paradoxes in mathematical foundations He has supervised research on topics spanning dialetheism, predicative mathematics, and modal ontological arguments. Scientific awards include the AHRC Senior Research Fellowship (2004-2005). His recent publications analyze Transcendental arguments in Wittgenstein Sortition-based democratic theory Philosophical implications of Ramsey's infinite proofs via peer-reviewed chapters and journal articles.

Ben Fischمشاهده پروفایل

استادیار

• Cryptography
• Distributed Systems
• Blockchain Technology
• +۵ مورد دیگر

Ben Fisch is an Assistant Professor of Computer Science at Yale University's School of Engineering & Applied Science. He is also the co-founder of Espresso Systems, a company focused on blockchain infrastructure. His research focuses on privacy and verifiability in decentralized systems like Bitcoin and Ethereum, with applications in digital finance and healthcare. Dr. Fisch received his B.A. from the University of Pennsylvania and completed his Ph.D. at Stanford University, where he worked with Dan Boneh in the applied cryptography research group. His educational background provided the foundation for his work at the intersection of cryptography, distributed systems, and economics. His research centers on leveraging cryptographic tools such as succinct non-interactive zero-knowledge proofs (zk-SNARKs), private information retrieval, and homomorphic encryption to address challenges in verifiable computation, verifiable storage, and verifiable fairness. He has made significant contributions to verifiable delay functions (VDFs) and proofs of replication, which have been adopted by major blockchain projects including Ethereum 2.0, Chia, and Filecoin. His work on Filecoin's Proofs of Replication has helped the network reach over 1.5 exabytes of storage capacity. His publication record shows a clear trend toward increasingly sophisticated cryptographic protocols for blockchain applications, with recent work focusing on data availability for Bitcoin rollups, efficient folding schemes for pairing-based arguments, and privacy pools with proof-carrying disclosures. His research bridges theoretical cryptography with practical implementations that have real-world impact in decentralized systems. His notable recognition includes: Best Paper Finalist at ACM CCS 2017 for 'Iron: Functional Encryption using Intel SGX' Dr. Fisch's research has led to significant technology transfer, most notably with his work on Verifiable Delay Functions (VDFs) sparking a multimillion dollar industry initiative through the VDF Alliance. His research on Proofs of Replication forms the basis of Filecoin's incentive layer and consensus protocol. His newer SNARK system Basefold is being used by several commercial products. He maintains active collaborations across academia and industry, with publications spanning top conferences in cryptography and security. As co-founder of Espresso Systems, Dr. Fisch leads a team developing next-generation blockchain infrastructure, particularly focusing on sequencing layers for rollups. His work bridges academic research with practical implementation, ensuring that theoretical advances in cryptography find real-world applications in decentralized systems.

Benedikt Bünzمشاهده پروفایل

استادیار

• Applied Cryptography
• Blockchain Technology
• Consensus Algorithms
• +۴ مورد دیگر

Benedikt Bünz is an Assistant Professor of Computer Science at New York University's Courant Institute of Mathematical Sciences. He is also a co-founder and chief scientist of Espresso Systems, where he applies his research expertise to real-world blockchain solutions. His academic work bridges theoretical cryptography with practical blockchain implementations, focusing on enhancing privacy, security, and usability of decentralized systems. Dr. Bünz's research centers around applied cryptography, consensus mechanisms, and game theory as they relate to cryptocurrencies. His work spans zero-knowledge proofs, verifiable delay functions, secure multi-party computation, and privacy-preserving protocols. He has made significant contributions to Bulletproofs, a zero-knowledge proof system deployed on blockchains like Monero, and pioneered research in verifiable delay functions which are now part of Ethereum 2.0's design. His recent work focuses on recursive proof systems, accumulation schemes, and efficient verification techniques for blockchain scalability. His publication record shows a consistent progression from foundational cryptographic primitives to practical blockchain implementations. Recent work demonstrates increasing sophistication in recursive proof systems (ProtoStar, HyperPlonk), novel accumulation techniques (ARC, DewTwo), and foundational work on randomness generation (VDFs). His research consistently bridges theoretical cryptography with real-world blockchain applications, resulting in protocols that are both theoretically sound and practically implementable across multiple blockchain platforms. Dr. Bünz actively contributes to the academic community through teaching and mentorship. He teaches courses on cryptography of blockchains and computer security at NYU, providing students with hands-on experience in blockchain security and cryptographic protocols. His industry engagement through Espresso Systems demonstrates his commitment to translating academic research into practical solutions for the blockchain ecosystem.

• Language Models
• Diffusion Models
• Theory of Deep Learning
• +۶ مورد دیگر

Song Mei is an Assistant Professor in the Department of Statistics and Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She received her Ph.D. from Stanford University in 2020 under Andrea Montanari and maintains active research collaborations with institutions including Amazon (as a 2023 Amazon Research Award recipient) and OpenAI (where she is currently on leave). Her research spans the intersection of statistics, machine learning, information theory, and computer science, with particular emphasis on foundational theories for modern AI systems. Key interests include language models, diffusion models, quantum algorithms, and high-dimensional statistics, often leveraging insights from statistical physics literature. Analysis of her recent publications reveals a strong focus on theoretical underpinnings of generative AI, with significant contributions to understanding contrastive pre-training (CLIP), attention mechanisms in LLMs, and mathematical foundations of diffusion models. Her work demonstrates consistent interdisciplinary connections between statistical theory and practical AI development. Sloan Research Fellowship (2025) Noether Early Career Scholar Award (2025) Google Research Scholar Award (2024) Amazon Research Award (2024) She actively advises graduate students through MA programs and has secured significant research grants including Amazon Research Awards. Her work with AGI Labs at Amazon demonstrates applied impact of theoretical research. Current projects focus on mechanistic interpretability of large language models and mathematical frameworks for generative AI. Professor Mei leads research on the statistical principles behind frontier AI models, with particular focus on developing rigorous theoretical frameworks for understanding emergent behaviors in large-scale systems.

• Multimodal Discourse Analysis
• Systemic Functional Linguistics
• Digital Humanities
• +۶ مورد دیگر

Professor Kay O'Halloran serves as Chair Professor and Head of Department of Communication and Media within the School of the Arts at the University of Liverpool since August 2019. She concurrently holds the position of Co-Director for the Digital Media and Society Institute (DMSI), demonstrating significant leadership across academic and research domains. Her career spans prestigious institutions including Curtin University (2013-2019) and National University of Singapore (1998-2013), where she directed the Multimodal Analysis Lab and served as Deputy Director of the Interactive & Digital Media Institute. PhD from Murdoch University (1996) Postdoctoral position at Martin Luther University (1997-1998) Visiting Distinguished Professor at Shanghai Jiaotong University (2017-2020) Professor O'Halloran's research focuses on multimodal discourse analysis, particularly the interaction of language with visual and mathematical resources. Her pioneering work in systemic functional multimodal discourse analysis (SF-MDA) has significantly impacted mathematics education and digital communication studies. Current research emphasizes digital tools for multimodal analysis and mixed methods approaches to big data analytics, addressing contemporary challenges in misinformation and public health communication. Her recent publications reveal strong thematic concentration in pandemic-related communication analysis, misinformation resistance mechanisms, and multimodal argumentation across social and cultural contexts. The 15 most recent articles demonstrate consistent application of multimodal frameworks to urgent societal issues including public health crises, political discourse, and digital literacy challenges. Founding editor of Routledge Studies in Multimodality book series (57+ volumes) Over 150 publications in leading international journals 50+ plenary/keynote presentations globally Competitive funding from National Research Foundation, MOE Singapore, US Air Force, ARC, NHMRC, and others Professor O'Halloran has directed interdisciplinary research teams comprising social scientists, computer scientists, and designers. Her leadership extends to developing commercial multimodal analysis software (Multimodal Analysis Image and Video) adopted internationally. Current projects include Eurovision 2023 wellbeing evaluation and COVID-19 misinformation immunity development, demonstrating continued relevance to contemporary societal challenges.

• Mathematics Education Curriculum
• Mathematics Teacher Education
• Algebra Teaching and Learning
• +۳ مورد دیگر

Jill Newton is a Professor in the Department of Curriculum and Instruction at Purdue University’s College of Education. Her work focuses on mathematics education curriculum development, teacher training, and equity in education, with additional contributions to international and study abroad programs. Ph.D. in Curriculum, Teaching, and Educational Policy (Mathematics Education), Michigan State University (2008) M.A. in International Education, George Washington University (1995) B.S. in Mathematics and Secondary Teaching Certification, Michigan State University (1987) Newton’s research spans algebra teaching, curriculum coherence, and social justice in education. She has led national studies on mathematics teacher preparation and explored how teachers use curricular resources post-COVID. Her work also emphasizes international education, including virtual communities of practice for global social justice. Recent publications highlight her focus on algebraic reasoning, curricular alignment, and equity. She has co-authored studies on elementary teachers’ curriculum use, preservice teacher development, and virtual intercultural collaborations. Terry L. Wood Mathematics Teacher Educator Award (2024-25) Book of Great Teachers Inductee (2023) Outstanding Leadership in Globalization Award (2022-23) Charles B. Murphy Outstanding Undergraduate Teaching Award (2017) Newton has coordinated undergraduate research at Purdue since 2018 and has taught mathematics education courses since 2004. Her teaching experience spans secondary schools in Venezuela, Tanzania, Bulgaria, and Papua New Guinea, enriching her global perspective.

Alex Lombardiمشاهده پروفایل

استادیار

• Cryptography
• Theoretical Computer Science
• Post-Quantum Cryptography
• +۳ مورد دیگر

Alex Lombardi is an Assistant Professor of Computer Science at Princeton University, specializing in cryptography and theoretical computer science. His work explores cryptographic proof systems, post-quantum security, and quantum cryptography. Princeton University (Current) Simons-Berkeley Postdoctoral Fellow (Former) MIT (Graduate Training) Visiting Scientist, Cryptography 10 Years Later Program (2025) Education: PhD in Computer Science from MIT (advised by Vinod Vaikuntanathan) Master's Thesis on Provable Instantiations of Correlation Intractability and the Fiat-Shamir Heuristic Dr. Lombardi's research spans foundational cryptography, with a focus on indistinguishability obfuscation, worst-case assumptions, and quantum cryptographic protocols. His work on SNARGs and PPAD hardness has advanced cryptographic proof systems, while his recent projects address quantum verification and post-quantum security. He encourages prospective cryptography students to apply to Princeton's PhD program. His publications highlight advancements in LWE-based cryptography, quantum protocols, and complexity-theoretic foundations. Key themes include secure computation, hash function design, and cryptographic reductions under quantum assumptions. Scientific Awards: Simons-Berkeley Postdoctoral Fellowship Dr. Lombardi serves on program committees for STOC 2025, EUROCRYPT 2025, and other conferences. He has taught courses like COS 433/533 (Cryptography) and COS 533 (Advanced Cryptography) at Princeton.

Pratyush Mishraمشاهده پروفایل

استادیار

• Cryptography
• Computer Security
• Zero-Knowledge Proofs
• +۲ مورد دیگر

Pratyush Mishra is an Assistant Professor at the University of Pennsylvania in the Department of Computer and Information Science, where he is affiliated with the Security and Privacy Laboratory. His research focuses on the intersection of cryptographic proof systems and computer security , particularly on efficient implementations of zero-knowledge proofs and secure computation protocols. Pratyush completed his PhD in Computer Science at UC Berkeley , advised by Alessandro Chiesa and Raluca Ada Popa , and holds a BSc in EECS from UC Berkeley, where he worked with David Wagner . His current research group includes PhD students Anubhav Baweja , Tushar Mopuri , Bharath Namboothiry , and Alireza Shirzad , along with Matan Shtepel , a former research assistant who moved to CMU for his PhD. His work spans advanced cryptographic techniques like zkSNARKs , accumulation schemes , and private delegation of provers , with applications in decentralized systems and secure inference. His recent publications focus on optimizing polynomial commitments , read-write streaming for SNARKs, and horizontally scalable proofs . Key awards include: ACM SIGSAC Doctoral Dissertation Award Runner-Up (2022) CSAW Applied Research Award (2016) for Hidden Voice Commands He teaches courses like CIS 5560: Cryptography and 7000-2: Theory and Practice of Succinct Zero Knowledge Proofs , covering topics such as symmetric cryptography, public-key encryption, digital signatures, zero-knowledge proofs, and secure multiparty computation. His lab contributes to the arkworks ecosystem for zero-knowledge proof libraries and co-founded the startup Aleo based on his research.

Alexander R. Prussمشاهده پروفایل

استاد

• Metaphysics
• Philosophy of Religion
• Ethics
• +۱۳ مورد دیگر

Alexander R. Pruss is a tenured Professor in the Department of Philosophy at Baylor University , within the College of Arts and Sciences . He holds a dual PhD in Philosophy (University of Pittsburgh, 2001) and Mathematics (University of British Columbia, 1996), and has held previous academic positions at Georgetown University. His work is deeply interdisciplinary, bridging metaphysics, philosophy of religion, formal epistemology, and ethics. Education: Ph.D. in Philosophy, University of Pittsburgh (2001) Ph.D. in Mathematics, University of British Columbia (1996) B.Sc. (Hon.) in Mathematics and Physics, University of Western Ontario (1991) Pruss’s research interests include metaphysics—particularly the Principle of Sufficient Reason , modality , and infinity —philosophy of religion, divine attributes , cosmological arguments , and sexual ethics . He is known for integrating rigorous formal methods with classical theistic metaphysics. His recent publications explore the intersection of probability theory, paradox, and theology, particularly in infinite domains. He has authored influential books such as The Principle of Sufficient Reason: A Reassessment (2006), Infinity, Causation and Paradox (2018), and One Body: An Essay in Christian Sexual Ethics (2012). The trends in his recent articles show a sustained focus on the philosophical implications of infinity, symmetry, and probability. He frequently investigates paradoxes in probability (e.g., infinite lotteries), challenges to modal realism, and the metaphysical coherence of divine attributes. His work combines analytic rigor with theological depth, often aiming to defend classical theism through logical and mathematical reasoning. Scientific awards and honors: Aquinas Medal, American Catholic Philosophical Association (2025) Wilde Lecturer, Oriel College, University of Oxford (2019) Outstanding Tenured Faculty Research Award, College of Arts and Sciences (2013) National Endowment for the Humanities Summer Stipend (2002) Social Sciences and Humanities Research Council of Canada Fellowship (1997–2000) Pruss has been actively involved in academic service, including serving on the Executive Council of the American Catholic Philosophical Association (2021–2024) and the Society of Christian Philosophers (2011–2013) . He has held editorial roles for journals such as American Philosophical Quarterly and Analysis and Existence . He has delivered numerous invited lectures globally, including at Oxford, Notre Dame, and MIT. There is no mention of formal PhD or Master’s students in the provided text, but he advises through graduate seminars and research supervision. He has not received specific grant mentions beyond fellowships and stipends. He is affiliated with research groups such as the Baylor Institute for Faith and Learning and the Thomistic Institute , and contributes to philosophy of science and theology dialogues. His work continues to shape contemporary debates in analytic philosophy of religion and metaphysics.

Peter Gordonمشاهده پروفایل

دانشیار

• Language Acquisition
• Developmental Neuroscience of Language and Cognition
• Cross-cultural Studies of Numerical Cognition
• +۳ مورد دیگر

Peter Gordon is an Associate Professor of Neuroscience and Education and Cognitive Science in Education at Teachers College, Columbia University. He directs the Language and Cognitive Neuroscience Lab and holds affiliations with Biobehavioral Sciences, Human Development, and other departments. His research focuses on language acquisition, developmental neuroscience, cross-cultural numerical cognition, and MRI-based studies of language processing. Dr. Gordon earned a B.A. (Hons) in Psychology from the University of Stirling (Scotland) and a Ph.D. in Psychology from MIT. His fieldwork includes extensive studies with the Piraha in Amazonia, Brazil, and the Kadiweu in Mato Grosso do Sul, Brazil. His research interests span infant event representations, behavioral genetics of language, and the interplay between language structure and cognitive development. Notable contributions include work on anumeric cultures and the linguistic relativity hypothesis. Publications highlight cross-cultural studies, morphological processing, and cognitive neuroscience of language. He has conducted influential research on numerical cognition in Amazonian cultures and the genetic influences on language acquisition. Contact: pg328@tc.columbia.edu | Office: 1152 Building 528 | Lab: [Link Provided].

• Real and Complex Singularities
• Stratifications
• Real and Complex Algebraic Geometry
• +۳ مورد دیگر

Professor Laurentiu Paunescu is a faculty member in the School of Mathematics and Statistics at the University of Sydney . His research focuses on Real and Complex Singularities , Stratifications , and Real and Complex Algebraic Geometry , with particular interest in geometric criteria for ignoring higher-order terms in analytic maps and blow-analytic equivalence. University: University of Sydney School: School of Mathematics and Statistics Academic Rank: Professor Email: laurentiu.paunescu@sydney.edu.au, laurent@maths.usyd.edu.au Address: F07 - Carslaw Building, The University of Sydney Paunescu's research aligns with the University of Sydney's Understanding the Universe and Fundamental Laws of Nature strengths. He investigates topological invariance under bi-Lipschitz homeomorphisms, Lipschitz stratification, and connections between real and complex Milnor fibers. His work often involves collaborations with researchers like S. Koike, A. Parusiński, and M. Tibar. Recent publications (2024–2019) emphasize Lipschitz geometry (e.g., directional bundles, stratification), cohomology of hypersurface singularities , and polynomial function finiteness . Notable collaborations include studies on vanishing cohomology , clustered polar curves , and CAD construction validity . Grants from DVC Research and ARC Discovery Projects support his work. He supervises research students in areas like O-minimal Geometry and contributes to Metric Spaces (Advanced) teaching. Paunescu co-edits workshops such as the Australian-Japanese Real and Complex Singularities Workshop , advancing international collaboration in singularity theory.

Samia Khanمشاهده پروفایل

استاد

• Science Education
• Educational Technology
• Teacher Education
• +۷ مورد دیگر

Samia Khan is a Professor in the Department of Curriculum & Pedagogy at the University of British Columbia's Faculty of Education, where she also serves as Associate Dean of Research. Her academic work bridges educational technology, science education, and teacher preparation across K-16 contexts. Dr. Khan earned her PhD from the University of Massachusetts. Her educational background informs her interdisciplinary approach to learning sciences and technology integration. Her research centers on how digital technologies transform science learning , with emphases on model-based teaching , visualization tools , and equitable participation in STEM . She investigates simulation technologies, future-state modeling, and strategies to broaden science engagement through interpretive and mixed-methods research. Her work particularly examines teacher epistemologies, scientific reasoning development, and socio-cultural factors in technology-mediated learning environments. Analysis of her recent publications reveals three dominant trends: (1) International comparative studies of science curricula across Southeast Asia, (2) Efficacy of digital tools (PhET, GeoGebra, Symbolab) in conceptual understanding, and (3) Pre-service teacher development in model-based science instruction. Her research spans diverse contexts from Canadian classrooms to Rwandan and Vietnamese educational settings. Dr. Khan's contributions have been recognized through: New Scholar Award from the Canadian Society for Study in Education Prime Minister’s Award of Canada for Teaching Excellence in Science, Technology, and Mathematics As former MET Director (2021-2022) and author of foundational courses ETEC 530/533, she has significantly shaped UBC's educational technology programs. Her Faculty Associate role at the Institute of Resources, Environment, and Sustainability demonstrates cross-disciplinary engagement with sustainability education. Her research appears in leading journals including Journal of Technology and Teacher Education, Computers and Education, and Educational Technology Research and Development, with consistent citation as field-shaping work in educational technology.