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Wei PanView profile

Associate Professor

• Causal inference and propensity score analysis
• Multilevel, longitudinal, and structural modeling
• Research synthesis and meta-analysis
• +3 more

Dr. Wei Pan serves as Associate Professor and Faculty Lead for the Research Area of Excellence in Methods and Analytics at Duke University School of Nursing. He holds a PhD in Measurement and Quantitative Methods from Michigan State University (2001) and an MS in Statistics from Fuzhou University, China (1989). His educational credentials include: PhD in Measurement and Quantitative Methods, Michigan State University, 2001 MS in Statistics, Fuzhou University, China, 1989 Dr. Pan specializes in advanced statistical methodologies including causal inference, propensity score analysis, multilevel modeling, and meta-analysis. His research bridges methodological innovation with critical applications in adolescent health, substance abuse, symptom management, and health disparities. He has developed significant expertise in reducing selection bias in observational studies, as evidenced by his book Propensity Score Analysis: Fundamentals and Developments . His work consistently addresses measurement challenges in social, behavioral, and health sciences contexts. Analysis of Dr. Pan's recent publications (2024-2025) reveals a dominant focus on health equity and methodological rigor. His work spans sickle cell disease management, HIV outcomes in global contexts, adolescent mental health, and systemic biases in healthcare delivery. He frequently employs latent profile analysis, meta-analytic techniques, and causal modeling to investigate complex phenomena like nurse burnout during emergencies, digital media impacts on cognition, and racial disparities in anesthesia. His research demonstrates strong alignment with NIH-funded priorities in health services and implementation science. Dr. Pan has secured continuous funding from major federal agencies including the National Institutes of Health (NIH), National Science Foundation (NSF), and U.S. Department of Education. His collaborative projects emphasize interdisciplinary approaches to chronic disease management, healthcare transitions, and mental health equity. While no formal students are listed in his directory, his methodological expertise supports numerous trainees through the PhD in Nursing and Doctor of Nursing Practice programs at Duke.

• Clinical psychology
• Educational psychology
• Social psychology
• +5 more

Shigeo Kawamura is a Professor at the School of Education, Faculty of Education and Integrated Arts and Sciences, Waseda University. With a Doctorate in Psychology from the University of Tsukuba, he has established himself as a leading researcher in educational psychology, clinical psychology, and social psychology. His work focuses on classroom management, counseling, and the development of social skills among students. Dr. Kawamura earned his doctoral degree from the University of Tsukuba in 1995. His academic career demonstrates a progression from foundational research in developmental psychology to applied educational interventions. His educational background has provided a strong foundation for his research in classroom dynamics and student development. Dr. Kawamura's research interests span clinical psychology, educational psychology, and social psychology, with specific focus on school education, counseling, lifespan development, and the relationship between human development and cognitive-behavior. His work explores how social skills develop across different age groups and how classroom environments can be optimized to support student growth and inclusion. His recent publications demonstrate a strong focus on inclusive education, social skills development, and classroom management. Kawamura's research reveals consistent themes in understanding teacher behaviors that foster inclusive classrooms, the relationship between social skills and school satisfaction, and the development of effective educational interventions for diverse student needs. Japanese Counseling Society - Yururu Kawashima Memorial Award for Nurturing Counseling (2012) Japanese Counseling Society - Tatsuya Matsuura Memorial Award for Creative Research (2010) Japanese Counseling Society Special Award - School Counseling Matsuura Award (2001) Japanese Counseling Society Encouragement Award (1997) Dr. Kawamura has led significant research projects aimed at developing classroom group models that enhance students' interpersonal communication, group activities, and learning motivation. His work has been supported by grants from the Japan Society for the Promotion of Science, focusing on developing human relationship programs that teachers can utilize to prevent truancy and improve school adaptation. Through his leadership roles in professional organizations and his development of assessment tools like the QU questionnaire, Dr. Kawamura has significantly contributed to understanding classroom dynamics and improving educational practices in Japanese schools.

Binhua ZhouView profile

Professor

• Cancer Metastasis
• Epithelial-Mesenchymal Transition
• Breast Cancer
• +5 more

Binhua Zhou, Ph.D., holds the Madeline F. James and Edith D. Gardner Chair in Cancer Research at the Markey Cancer Center, University of Kentucky. He serves as Professor in the Department of Molecular and Cellular Biochemistry, Director of the Breast Cancer Research Program, and Program Leader for the Molecular and Cellular Oncology Research Program. His academic qualifications include a Doctor of Medicine from Guangzhou Medical College (1986), a Ph.D. from the University of Texas at Austin (1996), and postdoctoral training at the University of Texas Health Science Center (2001). Dr. Zhou's research focuses on molecular mechanisms of cancer metastasis, particularly epithelial-mesenchymal transition (EMT) regulation by Snail/Slug transcription factors in breast and pancreatic cancers. Key areas include metabolic reprogramming in metastasis, signaling pathway alterations, and therapeutic targeting of NNMT in triple-negative breast cancer. His work employs biochemical, molecular, and cellular approaches to identify targets for metastasis prevention. Analysis of recent publications (2020-2025) reveals dominant themes: EMT-linked metabolic adaptation, ferroptosis suppression, STAT3/SNAIL synergy in metastasis, and myeloid cell regulation in breast cancer. His group consistently explores intersections between transcriptional control, tumor metabolism, and microenvironment remodeling. Awards & Honors Young Investigator Award for Breast Cancer Research (1998) Alexander Wang Memorial Award, 3rd Prize (2000) Career Development Award, Ovarian Cancer Spore Program (1999) Wethington Excellence in Research Award (2009) Award for Cancer Research (2009) Dr. Zhou leads multiple NIH-funded projects as Principal Investigator, including NCI grants targeting NNMT in breast cancer progression and DoD-funded obesity-cancer initiatives. He directs the Breast Cancer Research Program, coordinating interdisciplinary teams investigating metastasis mechanisms and therapeutic innovation.

Michael D. BondView profile

Professor

• Programming Languages
• Systems
• Security
• +6 more

Michael D. Bond is a Professor in the Department of Computer Science & Engineering at Ohio State University's College of Engineering. He leads the Programming Languages and Software Systems (PLaSS) Research Group, which focuses on designing program analyses and software and hardware systems that enhance computing reliability, scalability, and security. His academic service includes general chair for PLDI 2027, program committee membership for multiple top conferences, and committee roles in SIGPLAN Research Highlights (2024-2027). Professor Bond's research spans programming languages, systems, and security, with particular expertise in memory management, concurrency, hardware transactional memory, information flow control, and predictive race detection. His work bridges theoretical foundations with practical implementations, as evidenced by numerous open-source projects accompanying his publications. The PLaSS group has made significant contributions to understanding and improving memory models, developing efficient garbage collection techniques for modern architectures, and creating novel approaches to secure programming in languages like Rust. Analysis of his recent publications reveals a clear trajectory toward addressing security and reliability challenges in modern computing systems, particularly through language-based approaches. His work increasingly focuses on Rust programming language security mechanisms, memory disaggregation for datacenters, and advanced techniques for detecting and preventing concurrency bugs. The research demonstrates strong continuity in exploring memory models and concurrency while adapting to emerging hardware trends and security challenges. Outstanding Teaching Award, Department of Computer Science and Engineering, Ohio State University (2018) Lumley Research Award, College of Engineering, Ohio State University (2016) OOPSLA 2015 Distinguished Paper and Artifact Awards NSF CAREER Award ACM SIGPLAN Outstanding Doctoral Dissertation Award Intel PhD Fellowship Professor Bond actively mentors several PhD students including Chujun Geng, Vincent Beardsley, Chris Xiong, Victor Chen, and Noah Charlton, with external co-advisee Zixian Cai at Australian National University. His research is currently supported by multiple NSF grants including SaTC-2348754 (2024-2027), CyberCorps-2336531 (2024-2029), and CSR-2106117 (2021-2025), reflecting sustained funding for his work in information flow control, security, and systems research. The PLaSS Research Group maintains a strong presence in both academic and industrial communities, with graduated PhD students securing positions at major technology companies like Google, Amazon Web Services, and Huawei, as well as academic positions at institutions like UIUC and IIT Kanpur. The group's work combines theoretical rigor with practical implementation, consistently producing open-source artifacts that enable reproducibility and further research in the systems and programming languages community.

Ruzica PiskacView profile

Professor

• Software Verification
• Security and Applied Cryptography
• Automated Reasoning
• +4 more

Ruzica Piskac is a Professor of Computer Science at Yale University, where she leads the Rigorous Software Engineering (ROSE) group. She has made significant contributions to the fields of software verification, security, automated reasoning, and code synthesis, focusing on improving software reliability and trustworthiness through formal techniques. Dr. Piskac received her PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Prior to joining Yale, she led an independent research group at the Max Planck Institute for Software Systems in Germany (2012-2013). Her research spans several key areas: symbolic execution for Haskell (G2), privacy-preserving formal methods (PPFM), functional reactive synthesis, verification of configuration files, and analysis of software updates. Her work consistently bridges theoretical formal methods with practical applications in real-world systems. Dr. Piskac's recent publications demonstrate a strong trend toward applying formal verification techniques to emerging challenges including large language models, quantum computing security, legal accountability of automated systems, and cyber-physical systems. Her research increasingly intersects with AI, cryptography, and legal domains while maintaining strong foundations in formal methods. Her scientific achievements have been recognized with numerous prestigious awards: Multiple Amazon Research Awards Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation (SEIF) Patrick Denantes Prize for her PhD dissertation Dr. Piskac has graduated five PhD students, four of whom have gone on to become assistant professors of computer science. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and is on the Steering Committee of the Formal Methods in Computer-Aided Design conference. She leads the Rigorous Software Engineering (ROSE) group at Yale, which focuses on several key projects including: Symbolic Execution Engine for Haskell (G2) Privacy Preserving Formal Methods (PPFM) Functional Reactive Synthesis Verifications for Configuration Files Analysis of Software Updates and Configuration Files

Steve BlackburnView profile

Professor

• Memory Management
• Garbage Collection
• Virtual Machine Design and Implementation
• +7 more

Steve Blackburn is a research scientist at Google DeepMind and professor of computer science at the Australian National University in the College of Engineering and Computer Science. His primary research focus is on programming language implementation, with expertise spanning memory management, virtual machines, and performance analysis. He has served in significant leadership roles including Associate Dean for Diversity and Inclusion (2016-2019) and as Program Chair for PLDI 2015 and General Chair for PLDI 2023. Blackburn's research interests center on making software run faster and more power-efficiently on modern hardware. His primary areas include microarchitectural support for managed languages, fast and efficient garbage collection, and the design and implementation of virtual machines. He maintains a strong interest in sound methodology and infrastructure for successful research innovation. His work bridges theoretical computer science with practical systems implementation, with particular focus on memory management frameworks and performance benchmarking. His publication record reveals a consistent focus on memory management systems, with recent work exploring garbage collection in modern contexts including CRuby, Julia, mobile devices, and memory-disaggregated datacenters. His research shows an evolution from foundational garbage collection algorithms toward practical implementations addressing real-world constraints in contemporary programming languages and hardware platforms. A notable trend is his increasing focus on quantifying and understanding the true costs of garbage collection in production environments. Fellow of the ACM Blackburn has supervised numerous doctoral students including Zhen He, John Zigman, Robin Garner, Ting Cao, and currently advises Wenyu Zhao, Zixian Cai, and others. He has also served on multiple program committees for major conferences including PLDI, ASPLOS, ISMM, and OOPSLA, demonstrating his significant contributions to the programming languages and systems research community. His service includes editorial roles for ACM Transactions on Programming Language Applications and Systems from 2017-2020. He leads two major research infrastructure projects: the MMTk memory management framework and the DaCapo benchmark suite, both of which have become foundational tools for researchers in programming languages and systems. These projects reflect his commitment to shared research infrastructure and reproducible methodology in systems research.

Alastair F. DonaldsonView profile

Professor

• Programming Languages
• Compilers
• Verification
• +2 more

Alastair F. Donaldson is a Professor in the Department of Computing at Imperial College London's Faculty of Engineering, where he leads the Multicore Programming Group. He also works as a Software Engineer at Google in the Android Graphics Team. Previously, he served as Director of GraphicsFuzz, an Imperial College spinout company acquired by Google in 2018. His research spans programming languages, compilers, verification, and testing, with a particular focus on randomized and fuzz testing techniques for compilers and program analyzers. Donaldson has developed several influential testing frameworks including GraphicsFuzz, RustSmith, and GrayC, which have significantly advanced compiler testing methodologies. Analysis of his recent publications reveals a strong trend toward practical applications of compiler testing techniques across diverse domains including GPU programming, verification-aware languages, and memory models. His work increasingly incorporates continuous integration practices and focuses on addressing real-world challenges in compiler development and verification. Donaldson maintains active involvement in the programming languages research community, serving on program committees for major conferences including PLDI, POPL, ASPLOS, and SPLASH. He has contributed significantly to advancing compiler testing methodologies and has mentored numerous researchers through PLMW (Programming Languages Mentoring Workshop). He leads the Multicore Programming Group at Imperial College London, which focuses on challenges in parallel and concurrent programming. His work bridges theoretical computer science with practical software engineering challenges, particularly in the areas of compiler correctness and verification.

Catherine S WoolleyView profile

Professor

• Neuroscience
• Neuroendocrinology
• Sex Differences in the Brain
• +4 more

Catherine S Woolley is the William Deering Professor of Neurobiology and Associate Dean for Research at Northwestern University's Weinberg College of Arts and Sciences, while also holding a professorship in the Ken and Ruth Davee Department of Neurology at the Feinberg School of Medicine. Her dual appointment bridges neuroscience research and academic leadership across Northwestern's Evanston and Chicago campuses. Her educational background includes a PhD from Rockefeller University (1993) followed by postdoctoral training in Neurosurgery at the University of Washington (1997). This foundation enabled her pioneering work on sex-specific neural mechanisms. Dr. Woolley's research program fundamentally investigates how biological sex influences molecular pathways in synaptic communication, with particular focus on estrogen's role in hippocampal plasticity and memory consolidation. Her discoveries reveal that male and female brains exhibit distinct responses to neuroactive compounds, necessitating sex-specific approaches in neurological drug development and disease modeling. This work has transformed understanding of conditions ranging from epilepsy to cognitive disorders. Analysis of her recent publications shows a consistent emphasis on incorporating sex as a critical biological variable, with recurring themes in neurosteroid signaling, hippocampal synaptic function, and methodological frameworks for sex-difference research in neuroscience. Her major scientific recognitions include: Election to the National Academy of Medicine (2021) AAAS Fellowship (2021) Membership in the American Academy of Arts and Sciences (2021) As Associate Dean for Research at Weinberg College, she shapes institutional research strategy while maintaining active neuroscience investigations. Her work extends through Northwestern's Center for Reproductive Science, where she examines neuroendocrine mechanisms linking reproductive biology and brain function.

Mimi L. LarsonView profile

Assistant Professor

• Children's Spirituality
• Faith Formation in Early Childhood
• Worship Engagement for Children
• +2 more

Dr. Mimi L. Larson serves as Executive Director of the Center for Faith and Children and Assistant Professor of Educational Studies at Trinity Evangelical Divinity School (TEDS), part of Trinity International University. With over 25 years of practical church ministry experience and prior service as Visiting Assistant Professor at Wheaton College, she bridges academic rigor with real-world ministry application. Education: BA, Wheaton College MA, Wheaton College MTS, Covenant Theological Seminary PhD, Concordia University-Chicago Her research centers on children's spiritual formation , particularly examining how faith develops in early childhood and how worship environments can intentionally include children. She investigates the critical role of community, family practices, and memory in shaping young children's theological understanding, as demonstrated in her edited volume Bridging Theory and Practice in Children’s Spirituality (2020). Analysis of her publications reveals consistent focus on evolving ministry paradigms, children's cognitive engagement with faith concepts, and practical implementation strategies. Key trends include the shift toward intergenerational worship models and evidence-based approaches to spiritual nurture from infancy through early childhood. Scientific Awards: Calvin’s Institute of Christian Worship’s teacher-scholar grant Calvin’s Institute of Christian Worship’s worshipping communities grant Dr. Larson actively advises students in TEDS' Doctor of Philosophy in Educational Studies (50-credit program) and Master of Theology programs, supervising research on curriculum development and spiritual formation. She consults extensively with churches on ministry structures, having developed children's curricula for local congregations, and serves on the Society of Children’s Spirituality board. The Center for Faith and Children, under her leadership, functions as a research-practice nexus connecting academic scholarship with church ministry needs through resource development, consultation services, and collaborative projects focused on children's spiritual development.

Artur LuczakView profile

Professor

• Computational Neuroscience
• Neural Coding
• Cortical Dynamics
• +2 more

Artur Luczak is a Professor of Neuroscience at the University of Lethbridge, where he has been a faculty member since 2009 and is affiliated with the Canadian Centre for Behavioural Neuroscience (CCBN). His research integrates experimental and theoretical approaches to study cortical dynamics and neural computation. PhD from Jagiellonian University, Poland MSc from Wroclaw University of Technology Dr. Luczak's research focuses on how neuronal populations process information through spontaneous and sensory-evoked activity. Key interests include metabolic constraints on neural coding, predictive processing in cortical networks, and the role of neural sequences in brain function. His work bridges computational modeling with electrophysiological data to uncover fundamental principles of neural organization. His publications from 2007-2022 reveal consistent exploration of spontaneous cortical activity patterns, with increasing emphasis on energy efficiency and machine learning-inspired neural algorithms. The 2022 Nature Machine Intelligence paper demonstrating how neurons optimize metabolic energy through activity prediction represents a paradigm shift in understanding neural learning mechanisms. Scientific Awards: Fellowship in the Netherlands Fellowship in France Fellowship in Italy Dr. Luczak has trained graduate students and postdoctoral fellows through CCBN's neuroscience programs, with research supported by national and international grants. His teaching portfolio includes computational neuroscience workshops, MATLAB programming courses, and core neuroscience curriculum. He leads a research group at the CCBN utilizing multidisciplinary approaches including in vivo electrophysiology, computational modeling, and behavioral analysis to investigate neural dynamics across multiple scales.

Priti R ShahView profile

Professor

• Cognitive Psychology
• Higher Level Cognition
• Executive Functions
• +4 more

Priti R Shah serves as Arthur F Thurnau Professor and Professor of Psychology at the University of Michigan, where she chairs the Department of Psychology within the College of Literature, Science, and the Arts. She maintains joint appointments as Professor of Information in the School of Information and Professor of Educational Psychology in the Marsal Family School of Education, while also holding a Faculty Associate position at the Research Center for Group Dynamics (Institute for Social Research). Her academic credentials include a BA from the University of North Carolina and PhD from Carnegie Mellon University (1996). Shah's research centers on higher-level cognitive processes including thinking, reasoning, and problem solving, with emphasis on executive functions and attention mechanisms. Her work bridges fundamental cognitive science with practical educational applications, particularly in STEM learning contexts and neurodiverse populations. Current investigations examine distractibility traits, hyperfocus phenomena in ADHD, and interventions for reasoning improvement. Recent publications reveal strong thematic continuity in cognitive psychology and education research, with increasing focus on ADHD-related attentional processes (2023-2025) and methodological innovations in reasoning interventions. Her scholarship consistently addresses real-world educational challenges while advancing theoretical understanding of cognitive mechanisms. Shah has received institutional recognition for research excellence, teaching innovation, and mentoring contributions across multiple university units. Her work has secured substantial external funding from the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Institute of Education Sciences (IES), Spencer Foundation, and McDonnell Foundation. She has served as Associate Editor for Memory & Cognition and editorial board member for Journal of Educational Psychology and Journal of Experimental Psychology: Applied , reflecting her leadership in disseminating cognitive science research. Through her Faculty Associate role at the Research Center for Group Dynamics, Shah contributes to interdisciplinary investigations of social behavior and group processes within the Institute for Social Research's collaborative research ecosystem.

• Software Security
• Software Engineering
• Cybersecurity
• +3 more

Wei Huo is a researcher at the Institute of Information Engineering, Chinese Academy of Sciences, specializing in software security and engineering. His work focuses on vulnerability detection, program analysis, and cybersecurity across diverse systems including cloud infrastructure, firmware, and web applications. His research interests encompass Software Security , Program Analysis , Binary Analysis , and AI-driven security techniques . He develops practical tools for identifying vulnerabilities in Kubernetes ecosystems, baseband firmware, and binary code, with emphasis on real-world applicability in industrial contexts. Analysis of his publications (2019-2025) reveals a consistent focus on empirical security studies and tool development. Key trends include cloud-native security (Kubernetes), firmware analysis (printers/baseband), and AI-enhanced binary similarity detection, demonstrating progression from component-level to system-level security challenges. While no specific awards are documented in the source material, his contributions to top venues like ASE, ICSE, and ISSTA reflect significant impact in software engineering research. His work bridges academic rigor with practitioner-oriented solutions, particularly in vulnerability management and automated testing. Wei Huo actively contributes to the security research community through publications addressing critical infrastructure vulnerabilities, though details about student supervision or grant funding are not available in the provided text.

Chung Hwan KimView profile

Assistant Professor

• Computer Systems Security
• Cyber-Physical Security
• Software Security and Reliability
• +3 more

Chung Hwan Kim serves as an Assistant Professor in the Department of Computer Science at the University of Texas at Dallas, where he directs the Software & Systems Security Laboratory (S³ Lab). His research focuses on critical security challenges in cyber-physical systems, embedded devices, and cloud infrastructure, with recognition including the NSF CAREER Award and UT Dallas New Faculty Research Symposium Grant. His expertise spans Computer Systems Security , Cyber-Physical Security , and Software Security and Reliability , emphasizing practical solutions for robotic vehicles, autonomous systems, and trusted execution environments. Current projects address signal injection attacks, resilience testing, and confidential computing through innovative fuzzing frameworks and hardware-assisted protections. Recent publications (2020-2026) reveal three dominant research thrusts: (1) Security for autonomous/robotic systems ( DriveFuzz , IMUFUZZER ), (2) Trusted execution in constrained environments ( Vessels , GEVisor ), and (3) Automated vulnerability discovery ( HFL , TZ-DATASHIELD ), consistently appearing in top venues like IEEE S&P and USENIX Security. Key honors include: NSF CAREER Award (premier early-career recognition) UT Dallas New Faculty Research Symposium Grant Top 10 finalist for CSAW Best Applied Research Paper Award (2018) As principal investigator of the S³ Lab, Kim mentors graduate researchers and secures competitive funding for projects spanning robotic vehicle security, embedded systems hardening, and confidential computing. His teaching portfolio includes Operating Systems, Information Security, and specialized courses on CPS/IoT security. The S³ Lab develops deployable security tools like TZ-DATASHIELD for embedded data protection and IMUFUZZER for resilience testing of aerial vehicles, collaborating with industry partners to translate research into real-world solutions for autonomous systems and critical infrastructure.

• Large Language Models
• Generative AI
• Fuzzy Cognitive Maps
• +7 more

Professor Yuan Miao is a distinguished academic at Victoria University (VU), serving as Professor in the College of Arts, Business, Law, Education & IT and Head of the Information Technology Program. With a PhD from Tsinghua University's Automation Department, his academic journey spans prestigious institutions including the University of Melbourne and Nanyang Technological University in Singapore before settling at VU where he has been Professor since January 2010, following his Associate Professorship from August 2004 to December 2009. Education: BSc, Shandong University, China MEng, Tsinghua University, China PhD, Tsinghua University, Automation Department, China Professor Miao's research centers on Large Language Models (LLMs) and Generative AI, where he has identified critical barriers in practical applications including limited memory length in systems like ChatGPT and Gemini, contradictory explanations, lack of local knowledge integration, and significant errors in text-data hybrid reasoning (up to 38%). His innovative solutions involve cognitive map graphs and rational intelligence models to create customized AI systems. His work spans diverse application areas including human knowledge modeling, multimodal interaction, healthcare analytics (particularly dementia detection), cybersecurity, and robotics powered by rational intelligence. Analysis of Professor Miao's recent publications reveals a strong focus on integrating LLMs with specialized knowledge domains across healthcare, cybersecurity, and social media analysis. His research consistently addresses practical limitations of current AI systems while developing novel frameworks for more reliable and context-aware applications. The interdisciplinary nature of his work is evident in publications spanning medical informatics, cybersecurity analytics, and educational technology. Scientific Recognition: Two articles in fuzzy cognitive map modeling ranked among top 10 most cited works since 2000 (Google Scholar 2000-2016) Development of adversarial dataset based on SQuAD 2.0 that reduced BERT and ELECTRA accuracy from ~90% to ORCID identifier 0000-0002-6712-3465 with 138 peer-reviewed publications Professor Miao actively supervises PhD and Master's students across diverse research topics including access control systems, healthcare analytics, cybersecurity, and social behavior analysis. His research has secured substantial funding from both industry giants (Microsoft, Amazon, Oracle, Google) and government bodies (Australia Research Council, Data61, Singapore's NRF), with recent projects including Digital Transformation for Construction Industry ($1.258 million), Western Health SharePoint Development ($68,000), and Big Data Analysis for Domestic Violence Research (US$100,000). His current grant portfolio demonstrates strong industry-academia collaboration addressing real-world challenges. Professor Miao leads research teams focused on rational intelligence systems that overcome current LLM limitations, with particular emphasis on creating practical AI solutions for healthcare, cybersecurity, and smart city applications. His work with Maribyrnong City Council on the Smart City at Footscray Park project ($850,000) exemplifies his commitment to applying advanced AI research to community-level challenges.

Daryl M. GordonView profile

Professor

• ESL methodology
• theories of second language acquisition
• content-based instruction
• +5 more

Daryl M. Gordon is a Professor at Adelphi University's Ruth S. Ammon College of Education and Health Sciences, specializing in TESOL (Teaching English to Speakers of Other Languages) and bilingual education. Her office is located in Harvey Hall 220, and she can be contacted at dgordon@adelphi.edu or by phone at 516.877.4393. Education: Ph.D., University of Pennsylvania (2004) M.S.Ed., University of Pennsylvania (1996) B.A., Bryn Mawr College (1986) Research Interests: Professor Gordon's scholarly work centers on the complex intersections of language, culture, and education, with particular focus on immigrant and refugee populations. Her research examines gendered second language socialization, the impact of trauma on language learning among refugees, naturalization education and national belonging, and content-based instruction for English Language Learners, especially in science contexts. She critically analyzes how language ideologies shape educational experiences and how programs can better serve linguistically diverse communities, often taking a critical perspective on citizenship education and national identity formation. Publication Trends: Professor Gordon's publications reveal a consistent scholarly trajectory focused on language learning in immigrant and refugee contexts, with particular attention to Southeast Asian communities, especially Laotian Americans. Her work spans sociolinguistics, educational anthropology, and teacher education, demonstrating how language learning intersects with gender, trauma, and national identity. Over time, her research has evolved from examining gendered language socialization to exploring the impact of trauma on language learning among refugees, and more recently analyzing citizenship education processes. Many publications involve interdisciplinary collaborations, particularly with health professions colleagues, reflecting her commitment to addressing the holistic needs of immigrant communities through comprehensive educational approaches. Scientific Awards: Research Release Awards (Fall 2010 and Spring 2012) International Faculty Development Grant to Amman, Jordan (Summer 2010) U.S. Department of Education Foreign Language Area Studies Fellow for Lao language study Grants and Professional Activities: Professor Gordon has secured significant external funding including an $816,016 New York State Education Department grant as Co-Principal Investigator for the Graduate Clinically Rich Teacher Preparation Pilot Program (2011-2014), a $478,000 grant for the New York City Preschool Bilingual/ESL Technical Assistance Center (2011-2015), and participation in a $1.2 million Corporation for National and Community Service grant engaging students from 18 universities in service learning with immigrants and refugees. She also contributed to a $600,000 MetLife Foundation grant focused on health literacy for immigrants. Professionally, she serves as a reviewer for prestigious journals including Anthropology & Education Quarterly and Applied Linguistics, participates in the U.S. Student Fulbright National Screening Committee, and is an active member of several professional organizations including the American Association for Applied Linguistics and the American Anthropological Association. University Service: Professor Gordon serves on the Fulbright Campus Committee, Internal Faculty Grants Committee, as Faculty Advocate in the Office of Student Conduct and Community Standards, and on the Faculty Senate Academic Standards Committee. She also volunteers as an ESL teacher at the Central American Resource Center (CARECEN NY), extending her professional expertise to community service.