جست‌وجوی استاد و پژوهشگر

• Computational Fluid Dynamics
• Aerodynamic Shape Optimization
• Simulation-Based Design
• +۳ مورد دیگر

Dr. Jason Hicken is an Associate Professor in the Mechanical, Aerospace, and Nuclear Engineering Department at Rensselaer Polytechnic Institute (RPI), and co-director of the Rensselaer Augmented and Virtual Environment. His research focuses on computational fluid dynamics, aerodynamic shape optimization, and simulation-based design. He holds a Ph.D. in Aerospace Engineering from the University of Toronto Institute for Aerospace Studies (2009), with postdoctoral training at Stanford University. Notable awards include the AFOSR Young Investigator Award (2015) and NSF CAREER Award (2016). His research interests span high-order numerical methods, entropy-stable discretizations, and optimization techniques for complex systems. He has contributed to advancing finite-difference operators, summation-by-parts schemes, and multi-disciplinary design optimization. His work bridges computational engineering and applied mathematics, addressing challenges in fluid dynamics, thermal systems, and aerospace applications. His lab, the Optimal Design Lab (http://www.optimaldesignlab.com/), develops innovative tools for engineering design optimization. Key achievements include developing entropy-stable numerical frameworks and integrating machine learning techniques for preconditioning in advection-dominated flows. His research has been applied to electric motor design, thermal management systems, and additive manufacturing. Awards recognize his contributions to foundational methods in computational engineering and aerospace optimization.

• Human-Computer Interaction
• Usability Engineering
• User Experience
• +۷ مورد دیگر

Rosa Lanzilotti is a Full Professor in the Department of Computer Science at the University of Bari Aldo Moro, Italy, where she has established herself as a leading researcher in Human-Computer Interaction (HCI) and Usability Engineering. As a core member of the IVU (Interaction Visualization Usability and UX) Laboratory, she coordinates research on Usability Engineering and UX practices, and Human-Centered Artificial Intelligence. With over 90 publications in top-tier journals and conferences, her work bridges academic research with practical applications in industry and public institutions. Dr. Lanzilotti earned her PhD in Computer Science from the University of Bari in May 2006. Her doctoral research developed the ELSE (e-Learning Systematic Evaluation) methodology, which combines inspection and usability testing to achieve more reliable results for evaluating e-learning systems. She also pioneered Pattern-Based inspection techniques that guide evaluators through detailed evaluation patterns. Her research spans multiple domains including educational technology, cultural heritage, healthcare, and smart environments. She has designed and evaluated numerous educational games for mobile devices and large multi-touch displays, resulting in a patent (n. 1401512, 2013) for a multimedia framework supporting site visits. Her work in End-User Development (EUD) explores how non-technical users can customize systems in healthcare and cultural heritage contexts through participatory design with domain experts. Recent publications (2019-2024) show increasing focus on integrating AI with human-centered design, privacy considerations in UX, and cybersecurity applications of HCI principles, particularly for public administration systems. As an active member of the Italian Working Group on Usability (GLU), she works to improve public administration websites and advocate for explicit usability requirements in ICT procurement. Her conference service includes Technical Program Co-Chair for INTERACT 2021 and various leadership roles in AVI, IEEE SMC, and womENcourage conferences. She teaches courses including 'Interacting with Intelligent Systems' (Master's level), 'Human-Computer Interaction for AI' (PhD level), and various undergraduate courses on Human-Machine Interaction at the University of Bari.

George Karabatisمشاهده پروفایل

استاد

• Cyber-security
• Semantic Information Integration
• Workflow Systems
• +۵ مورد دیگر

George Karabatis is a Professor of Information Systems at the University of Maryland, Baltimore County (UMBC). He currently serves as the Director of Entrepreneurship and Innovation Minor at UMBC and holds roles as Liaison for Programmatic Innovations in the Department of Information Systems. With a Ph.D. and M.S. in Computer Science and a B.S. in Mathematics, he previously worked as a Research Scientist at Telcordia Technologies. His research focuses on cybersecurity (intrusion detection via contextual semantics), semantic information integration, workflow systems, and database applications for mobile devices. Key contributions include developing flow-based detection approaches using semantic networks and exploring contextual anomaly detection for zero-day attacks. Teaching expertise spans courses like Systems and Information Integration (IS 722), Mobile Data Management (IS 720), and Advanced Database Projects (IS 620). His work bridges theoretical foundations with practical implementations in enterprise systems and mobile technologies.

• eHealth
• mHealth
• Medical Imaging Analysis
• +۴ مورد دیگر

Constantinos S. Pattichis is a Professor of Computer Science and Director of the Biomedical Engineering Research Centre at the University of Cyprus. He also leads the HealthXR Group at CYENS Centre of Excellence and serves as a technical leader on high-impact EU-funded projects, including the EU Digital Covid Certificate Platform and the national eHealth4U initiative. His research focuses on eHealth, mHealth, medical imaging, and AI-driven healthcare solutions. **Education**: Ph.D., Electronic Engineering, University of London (1992) MSc, Neurology, University of Newcastle Upon Tyne (1991) MSc, Biomedical Engineering, University of Texas at Austin (1984) BSc, Electrical Engineering, University of New Brunswick (1983) Technician Engineer, Higher Technical Institute, Cyprus (1979) **Research Interests**: eHealth systems, mHealth interventions using Extended Reality (XR), medical image analysis (MRI, ultrasound), biosignal analysis, and explainable AI for clinical decision support. His work addresses challenges in stroke risk assessment, multiple sclerosis progression, and telemedicine accessibility. **Awards & Roles**: Fellow of IEEE, IET, IAMBE, and EAMBES. He has managed over €20M in EU grants, edited multiple books on mHealth and biomedical imaging, and serves on editorial boards of journals like IEEE Journal of Biomedical and Health Informatics. He has published ~409 peer-reviewed works (150 journals, 259 conferences) with an h-index of 54. **Grants & Projects**: Led projects such as the EU Digital Covid Certificate Platform, eHealth4U (national eHealth ecosystem), and the IPMT Excellence Centre. Active in standardizing cross-border eHealth services via EU CEF programs. **Labs & Teams**: Directs the eHealth Lab at the University of Cyprus and collaborates with CYENS on HealthXR innovations. His work includes developing VR tools for dementia care, teleconsultation apps, and AI-driven diagnostic systems.

Yifan Sunمشاهده پروفایل

استادیار

• Optimization Algorithms
• Machine Learning
• Scientific Computing
• +۱۰ مورد دیگر

Yifan Sun is an Assistant Professor in the Department of Computer Science at Stony Brook University. She is also affiliated with the AI Institute and the Institute of Advanced Computational Science (IACS) at Stony Brook. Dr. Sun received her PhD in Electrical Engineering from UCLA in 2015, with research focusing on convex optimization and semidefinite programming. Prior to joining Stony Brook, she worked at Technicolor Research and Innovation on machine learning applications and completed postdoctoral research at the University of British Columbia in Vancouver and INRIA in Paris. Her research centers on the design and analysis of optimization algorithms, particularly those arising in large-scale machine learning and scientific computing. Dr. Sun studies how structural properties like sparsity, curvature, and decomposability can be exploited to design faster, more stable, and more interpretable optimization methods. Her work spans both theoretical foundations and practical applications, covering first-order methods, quasi-Newton techniques, and algorithms for convex programming to nonconvex deep models. She also investigates how optimization theory, particularly insights from linear algebra and geometry, can improve understanding of deep learning models, regularization techniques, and representation learning. Dr. Sun's recent publications demonstrate strong trends in large-scale graph learning, advanced optimization techniques (particularly Frank-Wolfe variants), and applications to natural language processing. Her work often bridges theoretical guarantees with practical implementations, as evidenced by her open-source code repositories. She leads the OptML Research lab at Stony Brook, focusing on optimization methods for machine learning challenges. Her publications appear in top venues including NeurIPS, ICML, CVPR, and various optimization journals, reflecting her interdisciplinary approach that connects computer science, applied mathematics, and engineering disciplines.

Nathan C. Hulseمشاهده پروفایل

استاد مدعو

• Biomedical Informatics
• Clinical Decision Support Systems
• Knowledge Management
• +۶ مورد دیگر

Nathan C. Hulse, PhD, is an Adjunct Professor at the University of Utah's Department of Biomedical Informatics and Director of Clinical Knowledge Management at Intermountain Healthcare. He specializes in biomedical informatics, focusing on clinical decision support systems, family health history tools, and health information standards development. Education: PhD in Medical Informatics (University of Utah), BS in Computer Science (University of Utah) His research explores: Knowledge management strategies for EHR systems Consumer-facing health informatics tools for risk assessment Integration of genetic data into clinical workflows Standards-based interoperability (HL7, FHIR) Personalized health education delivery Analytics for clinical guideline adherence His publications emphasize: Electronic health record optimization Infobutton systems for point-of-care education XML-based clinical knowledge modeling Peer feedback mechanisms in medical knowledge bases Federated data sharing environments Visual analytics for clinical practice guidelines

Charles Reissمشاهده پروفایل

استاد

• Phonology
• Cognitive Science
• Linguistics
• +۳ مورد دیگر

Charles Reiss is a Professor of Linguistics and Founding Member of the Concordia Centre for Cognitive Science at Concordia University. He holds a PhD in Linguistics from Harvard University (1995), alongside an MA (1989) and BA in Mathematics from Swarthmore College (1985). His research focuses on theoretical phonology, cognitive science, and the philosophical implications of linguistic structures. Reiss is renowned for co-developing 'substance-free phonology' with Mark Hale, emphasizing formal approaches to phonological analysis. His textbooks, such as Phonology: A Formal Introduction (2018) and I-language: An Introduction to Linguistics as Cognitive Science (2013), are widely used in academic settings. He teaches advanced courses like Language and Mind: The Chomskyan Program , integrating topics like universal grammar, phonology, and cognitive linguistics. His research spans phonological universals, feature geometry, and the interfaces between phonology and other linguistic modules. Recent work critiques large language models and defends Chomskyan generativism while exploring computational and cognitive aspects of phonological representation. Reiss has edited volumes such as Ha! Linguistic Studies in Honor of Mark R. Hale (2022) and contributed to foundational texts like The Phonological Enterprise (2008). His work bridges formal analysis and empirical research, prioritizing theoretical clarity and cross-disciplinary relevance in cognitive science.

Ricard Gavaldàمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Healthcare Analytics
• +۳ مورد دیگر

Ricard Gavaldà is a Professor in the Department of Computer Science at Universitat Politècnica de Catalunya (UPC), affiliated with the LARCA research group. Since February 2020, he has been on academic leave to work full-time at Amalfi Analytics, focusing on healthcare data analytics. His research interests include Machine Learning, Data Mining, and their applications to healthcare and social good. He has supervised numerous PhD students and contributed to impactful projects in clinical decision support, traffic prediction, and energy-efficient systems. Education details are not explicitly mentioned in the provided texts. His work spans data stream mining, algorithmic frameworks (e.g., MOA), and healthcare informatics. He has co-founded Amalfi Analytics to develop AI-driven solutions for healthcare management. Notable recent activities include co-chairing the Nectar Track at ECML PKDD 2025 and organizing workshops on Data Science for Social Good. Key technical contributions include methods for adaptive learning, probabilistic modeling, and interpretable AI systems. His research bridges theoretical foundations and real-world applications, with a focus on improving healthcare outcomes and sustainable practices.

Claire Hemingwayمشاهده پروفایل

استادیار

• Decision-making strategies
• Value perception
• Foraging behavior
• +۱ مورد دیگر

Claire Hemingway is an Assistant Professor in the Department of Ecology & Evolutionary Biology at the University of Tennessee, Knoxville. She holds a Ph.D. from the University of Texas at Austin (2020). Her research focuses on animal decision-making mechanisms, studying foraging behaviors in bats and bees, particularly how these animals evaluate rewards and signals when making choices. She investigates how ecological contexts influence decision strategies and their evolutionary implications. Dr. Hemingway’s lab explores topics such as label-based expectations in bumblebees, context-dependent preferences in fruit bats, and cognitive constraints in foraging predators. Her work bridges behavioral ecology, neuroscience, and economics, with publications in journals like Biology Letters and Animal Behaviour . Her research highlights the interplay between sensory processing, learning, and ecological pressures. Current projects include studying how floral reward complexity affects pollinator cognition and how anti-predator signals exploit auditory illusions. She is actively recruiting graduate students interested in these areas. Dr. Hemingway’s work has been supported by grants examining decision-making trade-offs in both vertebrate and invertebrate systems. Her lab is located in Dabney Hall, and she maintains an active research website at https://www.thebatsandthebees.com/ .

• Employment Law
• Contract Law
• Labor Rights
• +۵ مورد دیگر

Dr Gabrielle Golding is a Senior Lecturer at the Adelaide Law School, University of Adelaide, and serves as Associate Dean of Law (Learning and Teaching). She specializes in employment and contract law, focusing on the intersection of legal norms and workplace realities. Her research has influenced Australian legislation, including amendments to the Fair Work Act, and been cited in federal court rulings. Golding holds a PhD in employment and contract law (awarded the Bonython Prize) and has held roles at Monash University, the Federal Court of Australia, and international law firm Minter Ellison. Affiliations: Adelaide Law School, Faculty of Arts, Business, Law and Economics Education: PhD (University of Adelaide), LLM (ANU), B.Laws (Honours) & B.A. (Politics) Research Interests: Implied contract terms, right to disconnect, procedural fairness in disciplinary processes, and statutory unconscionability. Her book Shaping Contracts for Work (Oxford UP, 2023) was shortlisted for the prestigious Peter Birks Prize. Golding engages widely with media (BBC, ABC, The Guardian) and advises organizations like the International Labour Organization and Australian unions. Awards include the Barbara Kidman Women's Fellowship (2022) and multiple teaching/research nominations. Grants: Over $100,000 in funding from Adelaide Law School, the Law Foundation of SA, and external bodies like the Solidarity Center. Teaching includes courses on contract law, employment law, and legal research. Lab/Team: Coordinates the South Australian Chapter of the Australian Labour Law Association and collaborates with global networks like the Labour Law Research Network.

Adrian Chastain Weimerمشاهده پروفایل

استاد

• Colonial America
• Constitutional History
• Legal History
• +۳ مورد دیگر

Adrian Chastain Weimer serves as Professor of History in the Department of History & Classics at Providence College, specializing in colonial American political and religious history. Her research examines constitutional development, Indigenous-colonial relations, and persecution narratives within 17th-century New England contexts. Education: Ph.D. in History, Harvard University (2008) Research Focus: Weimer investigates how Puritan, Baptist, and Quaker communities navigated religious identity through historical persecution narratives, as demonstrated in her monograph Martyrs' Mirror . Her award-winning work A Constitutional Culture analyzes grassroots resistance to Stuart imperial policies, revealing colonists' creative defense of local institutions against arbitrary rule. Current research centers on Daniel Gookin's documentation of "Praying Indian" communities, highlighting Indigenous diplomatic strategies during wartime. Publication Trends: Recent scholarship (2022-2026) shows deepening engagement with Atlantic World religious networks, constitutional culture, and Indigenous agency. Her work consistently bridges political history with religious studies, emphasizing colonial adaptations of English legal traditions and cross-cultural diplomatic practices in early America. Scientific Recognition: John Winthrop Prize (Colonial Society of Massachusetts) Jane Dempsey Douglass Prize Michael Kennedy Prize National Endowment for the Humanities Fellowship John Carter Brown Library Fellowship American Council of Learned Societies Fellowship Andrew Mellon Foundation Fellowship Research Support: Major fellowships from NEH, ACLS, and Mellon Foundation have enabled extensive archival work on colonial constitutionalism and Indigenous relations. Current projects include co-editing The Writings of Daniel Gookin , which compiles primary sources documenting Nipmuc, Massachusetts, and Pennacook communities' experiences during King Philip's War.

Kirsten K. Davisمشاهده پروفایل

استاد

• Legal Communication
• Legal Ethics
• Generative Artificial Intelligence in Legal Education
• +۳ مورد دیگر

Kirsten K. Davis is a Professor of Law at Stetson University College of Law , where she serves as the Director of Online Legal Education Strategies and Faculty Fellow for Generative Artificial Intelligence and Higher Education (appointed 2024). She holds a J.D. from The Ohio State University Moritz College of Law (summa cum laude, Order of the Coif) and a PhD in Human Communication from Arizona State University's Hugh Downs School of Human Communication. Native Ohio farm kid Former federal judicial clerk and Jones Day attorney Research Focus : Intersection of legal communication and legal ethics Pioneering research on generative AI's impact on legal writing and education Founded Stetson's Institute for the Advancement of Legal Communication Leader of 400+ law professors studying AI's legal implications Classical rhetoric applications in modern legal practice Scientific Awards : Stetson Dean's Award for Extraordinary Service Stetson Award for Teaching Excellence Homer and Dolly Hand Award in Faculty Research 2021 Stetson Board of Trustees Innovation Award Inaugural AALS Technology Mentorship Award (2024) ABA Women of Legal Tech (2024) Professional Service : Former chair of AALS Annual Meeting Program Committee Current co-chair of AALS Section on Technology, Law, and Legal Education Co-chair of Legal Writing Institute's AI Committee Member of Florida Bar Standing Committees on Professionalism and Technology

Annie Holtzمشاهده پروفایل

پژوهشگر

• Language Evolution
• Phonology
• Cognitive Linguistics
• +۳ مورد دیگر

Annie Holtz is a Postdoctoral Researcher at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences, within the Linguistics and English Language department. She holds a PhD in Linguistics from the same institution, supervised by Professors Jennifer Culbertson and Simon Kirby. Her work focuses on understanding how cognitive pressures in language learning and communication shape typological patterns, particularly in phonotactics and noun phrase structures. She is currently involved in an ESRC-funded project investigating phonotactic constraints and communication dynamics. Her research employs experimental methods to explore adult and child language learning, emphasizing how pressures like ambiguity resolution and communicative efficiency influence linguistic systems. She has also contributed to methodological critiques in language acquisition studies, addressing biases such as the 'female-talker default' in experimental design. Holtz’s interdisciplinary approach spans syntax, phonology, and evolutionary linguistics, with a particular interest in the interplay between cognitive biases and linguistic universals. Her articles highlight trends in analyzing cross-linguistic variation through controlled experiments, with recent work focusing on word order preferences and the role of innovation in shaping language structure. She has presented globally at conferences like EvoLang and CogSci, and her scholarly contributions are published in journals like Glossa and conference proceedings such as ConSOLE . Holtz has collaborated with leading institutions and researchers, including the Centre for Language Evolution (CLE) at Edinburgh. Her academic journey includes undergraduate work at the University of Edinburgh and early investigations into phonological segmentation in infant-directed speech. Beyond academia, she is an avid hiker and advocate for outdoor education, reflecting her Swedish roots and appreciation for Scotland's natural landscapes.

Hamza M. Zaferمشاهده پروفایل

دانشیار

• Red Sea World Studies
• Pre-Modern Knowledge Networks
• Ethiopic Literature
• +۴ مورد دیگر

Hamza M. Zafer is an Associate Professor of Arabian and African languages at the University of Washington, holding a Senior Lecturer position in the Program in African Studies. His research focuses on the languages and literatures of the Red Sea world from the 6th to 16th centuries, emphasizing pre-modern knowledge networks across Ethiopic, Arabic, Coptic, Sabaic, and Syriac traditions. His monograph, *Ecumenical Community*, examines early Muslim communitarianism in the post-Red Sea war context. Dr. Zafer earned his Ph.D. from Cornell University. His research interests span cross-cultural textual exchanges, linguistic anthropology, and the historiography of the Horn of Africa and Arabian Peninsula. His work bridges historical linguistics with socio-cultural analysis, highlighting trans-regional intellectual exchanges. His recent publications (2003–2009) include machine learning applications in bioinformatics, such as tumor classification and gene function prediction, reflecting an interdisciplinary approach. Earlier work (1997–1999) explored AI-driven crossword puzzle generation, showcasing computational creativity. No academic awards or grants are explicitly mentioned in the provided text. He advises no listed students, though his mentorship role in language studies may imply graduate supervision not detailed here. No lab affiliations or future projects are described in the available data.

• Macroeconomics
• Experimental Economics
• Economic Theory
• +۵ مورد دیگر

John Duffy is a Professor of Economics at the University of California, Irvine (UCI), where he leads the Experimental Social Science Laboratory (ESSL). He also holds affiliated faculty positions at Osaka University's Institute of Social and Economic Research and has been a Visiting Professor at institutions like King’s College London, Universitat Pompeu Fabra, and the Federal Reserve Bank of St. Louis. His research focuses on micro-foundations of macroeconomic activity, experimental economics, and learning models, with emphasis on decision-making under uncertainty, asset pricing, and policy design. Education: PhD in Economics from UCLA (1992), MA in Economics from UCLA (1988), and AB in Economics from UC Berkeley (1986, High Honors). Prior to UCI, Duffy held professorships at the University of Pittsburgh (1992–2014) and has extensive visiting roles globally. Research interests span experimental macroeconomics, behavioral economics, and computational methods. Notable work includes studies on liquidity constraints, ETFs' impact on asset markets, and experimental validation of macroeconomic theories like the Lucas asset pricing model. His grants include NSF funding for lifecycle savings research and collaborative projects on financial stability and AI-human interactions. Awarded the American Economic Review Excellence in Refereeing (2012). He has supervised 23 PhD students, many in prominent academic and policy roles. Duffy serves as Editor-in-Chief of Experimental Economics and Associate Editor of multiple journals, with a focus on advancing experimental methodologies and interdisciplinary research. Labs/Teams: Director of UCI's ESSL and co-founder of the Pittsburgh Experimental Economics Laboratory (PEEL). Active in organizing global workshops like the Annual Experimental Macroeconomics Forum and SWEBE conferences.