جست‌وجوی استاد و پژوهشگر

Paul D. Hallidayمشاهده پروفایل

استاد

• Legal History
• British History
• Imperial History
• +۷ مورد دیگر

Paul D. Halliday is the Julian Bishko Professor of History and Professor of Law at the University of Virginia, jointly appointed in the Department of History within the College of Arts and Sciences and the Law School . He is a leading scholar in legal history, with a focus on British, imperial, and global legal developments from 1500 to 1850. BA, Wesleyan University, 1983 MA, University of Chicago, 1988 PhD, University of Chicago, 1993 His research centers on the history of legal institutions, particularly habeas corpus, judicial authority, and the role of law in empire. Halliday challenges traditional narratives by emphasizing how judicial power evolved from royal prerogative rather than as a check on monarchy. His work bridges legal doctrine, archival practice, and material culture, with current projects exploring the sensory and spatial dimensions of law, including courthouse architecture and archival procedures. His publications reveal a consistent engagement with themes of liberty, authority, and legal continuity across time and space. Notably, his book Habeas Corpus: From England to Empire (2010) has had a profound impact, influencing the U.S. Supreme Court in Boumediene v. Bush (2008), and reshaping scholarly understanding of habeas corpus as a tool of imperial governance. His recent work extends into South Asian and Caribbean legal histories, emphasizing global legal interconnectedness. Inner Temple Book Prize (2011) for Habeas Corpus: From England to Empire Sutherland Prize, American Society for Legal History (2009) for co-authored Virginia Law Review article At UVA, Halliday teaches courses such as History of English Law , Law’s Empire , and Global Legal History . He advises graduate students in legal history and is a core member of GLH@UVA (Global Legal History at the University of Virginia), an interdisciplinary community that includes faculty and students from history and law. This group fosters collaborative research, professional development, and regular discussions on works in progress, contributing to a vibrant intellectual environment.

Andrew Rau-Chaplinمشاهده پروفایل

استاد

• High Performance Computing
• Parallel Algorithms
• Data Warehousing
• +۱۴ مورد دیگر

Andrew Rau-Chaplin is a Professor and Dean of the Faculty of Computer Science at Dalhousie University, where he leads the Risk Analytics Lab and contributes significantly to research in high performance computing, parallel algorithms, and risk analytics. He is affiliated with the Institute for Big Data Analytics and has a strong academic and administrative presence. Education: Postdoc - DIMCS (Princeton, Rutgers, Bell Labs) PhD - Carleton University (1993) MCS - Carleton University (1990) BCS - York University (1986) His research focuses on applying parallel and high performance computing to data-intensive domains such as data warehousing, OLAP, catastrophe modeling, and risk analytics. He emphasizes both algorithmic design and practical system implementation, with a strong grounding in experimental evaluation. His work spans theoretical studies and real-world applications in finance, bioinformatics, and geospatial systems. The 15 most recent publications reflect a consistent focus on parallel data processing, OLAP optimization, indexing techniques (e.g., Hilbert curves), and risk modeling. Key themes include scalable data cube computation, view selection, adaptive coding, and spatial analytics, demonstrating expertise in both algorithmic innovation and systems-level performance. He has served on numerous scientific committees and grant panels, including NSERC and Compute Canada, and has been a journal editor for JPDC and DMTCS. Dr. Rau-Chaplin has supervised a wide range of graduate students in areas including risk analytics, GPU computing, text analytics, and parallel algorithms. His lab has received funding for postdoctoral, graduate, and undergraduate research positions. He teaches courses such as Parallel Computing, Software Engineering, Data Structures, and Risk Analytics, and has developed software tools like LaHave, Clustal XP, and Digital Coliseum. His lab, the Risk Analytics Lab, focuses on integrating analytics, risk management, and HPC for challenges in catastrophe modeling and financial risk. The lab leverages technologies such as stochastic simulation, optimization, and spatial OLAP.

• Computational Neuroscience
• Machine Learning
• Neural Networks
• +۵ مورد دیگر

Prof. Sander Bohte is a part-time full professor of Computational Neuroscience at the University of Amsterdam (Swammerdam Institute of Life Sciences) and an honorary full professor of Bio-inspired Neural Networks at the University of Groningen. He serves as a Scientific Staff Member and Group Leader in the Machine Learning department at CWI, Amsterdam. His work bridges computational neuroscience and machine learning with a focus on continuous-time information processing. Key research interests include: Spiking Neural Networks with predictive coding and multi-compartment models Biologically Plausible Learning in recurrent and deep architectures Working Memory modeling via reinforcement learning Neuromorphic Computing for real-time systems and GPU acceleration His recent publications highlight trends in neural adaptation , predictive coding , and SNN hardware-software co-design . Awards include the Veni Innovational Research Grant (2004) and ERCIM grant (2013) . He actively supervises MSc theses and leads grants like the NWO KIC project 'Selfhealing Neuromorphic Systems' (2024).

• Energy Finance
• Renewable Energy
• Sustainable Finance
• +۴ مورد دیگر

Christina Nikitopoulos Sklibosios is an Associate Professor in the Finance Discipline Group at the University of Technology Sydney (UTS) Business School. She specializes in energy finance, renewable energy economics, sustainable finance, and commodity markets. Her research focuses on analyzing price dynamics and volatility in energy markets, particularly addressing challenges posed by renewable energy integration, green bond markets, and climate transition risks. She has held leadership roles including Finance PhD Program Coordinator (2015–2023) and currently serves on the UTS Business School's Faculty Board and HDR Director (acting). Education: Doctoral and academic background in finance and energy economics (details not explicitly provided in texts). Her research projects include modeling electricity prices in Australia’s National Electricity Market (NEM), assessing renewable energy impacts on grid stability, and evaluating green bond premiums. Key grants include ARC grants on energy market volatility and climate risk (2010–2017), and recent awards such as the UTS Strategic Research Accelerator grant (2024–2025) for net-zero decision-making tools. Research interests span energy economics, sustainable finance mechanisms, and commodity market dynamics. She collaborates with international organizations like CEMA, IAEE, and AFFECT, and contributes to policy discussions on energy transition and financial market reforms.

• Misinformation
• Memory
• Cognitive Psychology
• +۵ مورد دیگر

Ullrich Ecker is a Professor in the School of Psychological Science at The University of Western Australia (UWA). He holds roles such as Associate Editor for the Journal of Applied Research in Memory and Cognition and Experimental Psychology , and serves on the ARC College of Experts (2023-2025). His academic background includes a PhD from Saarland University (Germany) and a Dipl.Psych. from the same institution. Ecker’s research focuses on misinformation, memory, and decision-making, with a particular emphasis on designing interventions to counter false information. Education: PhD, Saarland University, Germany (2007) Dipl.Psych., Saarland University, Germany (2003) Research Interests: Ecker’s work addresses the psychological mechanisms underlying misinformation, memory updating, and belief change. He explores how people process and retain false information, particularly in the context of social media and public health. Key areas include the effectiveness of debunking strategies, the cognitive underpinnings of belief persistence, and the design of interventions to enhance truth discernment. His research also intersects with societal challenges like climate change communication and public health misinformation. Awards and Recognition: Best Publication Award from the Institute for Information Literacy at Purdue University (2023) Australian Research Awards – Research Field Leader in Cognitive Science (2023) UWA Vice-Chancellor's Award for HDR Supervision (Special Commendation, 2023) School of Psychological Science Award for Research Impact and Innovation (2022) School of Psychological Science Mid-Career Research Award (2022) Grants and Projects: Ecker leads and collaborates on numerous grants, including an ARC Discovery Project (2024–2027) addressing emerging misinformation threats, and the NHMRC Special Initiative HEAL Grant (2022–2027) focusing on health and environmental change. He has also secured funding from the WA Defence Science Centre, DSTG, and the Worldwide Universities Network. Notable projects include developing AI-driven tools to combat disinformation and studying misinformation’s behavioral consequences. He actively supervises PhD students in misinformation research and is open to new candidates. Teaching and Engagement: Ecker teaches Cognitive Psychology and Psychological Research Communication Skills at UWA. He is involved in community engagement, including chairing events on memory and fact-finding. His industrial collaborations focus on designing communication strategies to counter misinformation in public health and defense sectors.

• Biomedical imaging
• Diffusion weighted imaging
• Dynamic imaging
• +۷ مورد دیگر

Brad Sutton is a Professor of Bioengineering at the University of Illinois Urbana-Champaign and Technical Director of the Biomedical Imaging Center at Beckman Institute. He holds affiliate roles in the Neuroscience Program, Department of Electrical and Computer Engineering, and is a Health Innovation Professor at the Carle Illinois College of Medicine. His roles also include fellowship positions with the National Center for Supercomputing Applications and the CZ Biohub Chicago. Education: Ph.D. in Biomedical Engineering from the University of Michigan (2003). Research Interests: Focus on advanced MRI techniques for structural and functional brain imaging, including diffusion-weighted imaging, dynamic imaging, and neuromuscular coupling studies. His work emphasizes multi-scale bioimaging to understand brain function across interventions, aging, and disease. Publications: Over 180 peer-reviewed articles in 2025-2024 highlight innovations in MRI technology and applications in neuroscience, including breakthroughs in laminar fMRI specificity, myelin development modeling, and Alzheimer’s biomarker studies. Recent work extends to clinical applications like aortic imaging automation and mixed reality training tools. Awards: AIMBE and ISMRM Fellowships (2017/2024), Abel Bliss Scholar (2014-), and over 9 patents in imaging techniques. Labs & Teams: Leads the Magnetic Resonance Functional Imaging Lab. Collaborates with interdisciplinary teams across engineering, medicine, and computational science to advance imaging technologies and their clinical translation.

Lauren Embersonمشاهده پروفایل

دانشیار

• Developmental Psychology
• Cognitive Psychology
• Infant Perception
• +۴ مورد دیگر

Dr. Lauren Emberson (she/her/hers) is an Associate Professor in the Department of Psychology at the University of British Columbia, Faculty of Arts. She directs the Baby Learning Lab, which is part of UBC's Early Development Research Group, a consortium focused on infant and child development. Prior to her position at UBC, Dr. Emberson was an Assistant Professor at Princeton University where she co-founded and co-directed the Princeton Baby and Princeton Kid Labs. Education: Postdoctoral Associate, University of Rochester (PI Aslin) Ph.D, Cornell University (PIs Amso, Goldstein, Spivey) B.Sc, University of British Columbia Dr. Emberson's research focuses on learning, perception (audition, vision, crossmodal or multisensory), language development, face/object perception, and attention in infants. She investigates these capacities using behavioral and neuroimaging techniques, particularly fNIRS (functional near infrared spectroscopy), working primarily with very young infants (birth through 1 year) and preterm/premature infants. Her work examines how infants' learning capacities contribute to rapid development of perception in ecological contexts, with implications for understanding how early life experiences affect later outcomes. Analysis of Dr. Emberson's recent publications reveals a consistent focus on infant perception, learning mechanisms, and neuroimaging methodology. Her work increasingly incorporates advanced fNIRS techniques while maintaining focus on fundamental questions about how infants learn from their environment. There's a growing emphasis on individual differences, cross-cultural comparisons, and applications to infants facing developmental challenges. Dr. Emberson serves on the editorial board of Infancy (journal of the International Congress of Infancy Studies) and is a consulting editor for the Journal of Cognitive Neuroscience . Her research has been published in top journals including PNAS, Current Biology, Psychological Science, Cognition, Developmental Science, and the Journal of Neuroscience. Dr. Emberson has secured significant research funding from prestigious organizations including the Bill and Melinda Gates Foundation, James S. McDonnell Foundation, Natural Sciences and Engineering Research Council (NSERC), Canadian Institutes of Health Research (CIHR), and the National Institutes of Health (NIH). She collaborates with clinicians at BC Women's and Children's Hospitals to understand how different early life experiences impact learning and brain development. Dr. Emberson is currently accepting graduate students into her research program. The Baby Learning Lab, under Dr. Emberson's direction, is part of UBC's Early Developmental Research Group and collaborates with multiple institutions. The lab strives to provide interactive research experiences for infants and families while advancing scientific understanding of early cognitive development. The lab acknowledges that it operates on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm (Musqueam) people.

• Materials Science
• Nanotechnology
• Additive Manufacturing
• +۶ مورد دیگر

Mohammad F. Islam is a Professor in the Department of Materials Science and Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. His research focuses on soft materials, nanomaterials, and their applications in energy, healthcare, and manufacturing. He holds the National Science Foundation CAREER Award, Alfred P. Sloan Research Fellowship, Kavli Frontiers Fellowship, and the George Tallman Ladd Research Award. His work spans advanced materials processing, sustainable energy systems, and self-healing materials. Education: Ph.D. in Physics, Lehigh University (2000) Research Interests: Additive manufacturing and nanofabrication techniques Development of smart materials with self-healing and shape-memory properties Energy storage systems using carbon nanotube aerogels Applications in biomedicine and environmental sustainability Grants & Recognition: Recipient of multiple grants from the Wilton E. Scott Institute for Energy Innovation Co-founder of Watson Nano, commercializing carbon nanotube technologies Labs & Teams: Islam Group at CMU investigating soft matter, nanomaterials, and interdisciplinary applications

Trevor Brownمشاهده پروفایل

دانشیار

• Concurrent Data Structures
• Lock-Free Algorithms
• Transactional Memory
• +۴ مورد دیگر

Trevor Brown is an Associate Professor in the Computer Science department at the University of Waterloo, affiliated with the Cheriton School of Computer Science. He leads the Multicore Lab and specializes in concurrent data structures, non-blocking algorithms, and memory management. His research bridges theory and systems, focusing on practical implementations of lock-free trees, transactional memory, and techniques for non-uniform memory architectures. Education includes a PhD in Computer Science from the University of Toronto and a B.Sc. in Computer Science and Mathematics from York University. Research interests center on concurrent systems, with recent work exploring hardware-accelerated indexing, memory reclamation techniques, and performance anomalies in microbenchmarks. His publications demonstrate consistent innovation in parallel computing, with articles frequently appearing at top conferences like PPoPP, SPAA, and DISC. Sustainable energy research includes optimizing hybrid power systems and battery storage solutions. Awards include multiple best paper/artifact recognitions at SPAA and PPoPP, teaching excellence honors, and nominations for the Governor General’s Gold Medal. Extensive advising includes 13+ graduate students and PDFs, with research grants exceeding $965K from NSERC, Huawei, and CFI. He directs the Multicore Lab, developing open-source tools like SetBench for rigorous performance benchmarking.

Atsuko Hashimotoمشاهده پروفایل

استاد

• Sustainable Tourism Development
• Human Rights in Tourism
• Cultural Heritage Tourism
• +۷ مورد دیگر

Atsuko Hashimoto is a Professor and Graduate Program Director in the Department of Geography and Tourism Studies at Brock University. She holds a PhD in Tourism Management from the University of Surrey, UK, an MSc in Tourism Development from the University of Surrey, and a BA in Psychology from the University of British Columbia, Canada. Her research focuses on socio-cultural dimensions of tourism, including sustainable tourism in rural areas, human rights issues, indigenous tourism in Japan, and dark tourism. She has conducted extensive work on heritage tourism, anime tourism, and the political ecology of tourism. Dr. Hashimoto’s recent research projects include studies on anime tourism in Japan, political ecology of tourism, Ainu indigenous tourism, and hidden Christian heritage tourism. She has published widely in peer-reviewed journals such as Journal of Tourism and Cultural Change , Journal of Heritage Tourism , and Japan Forum . Her teaching includes courses on tourism policy, human rights in development, culinary tourism, and sustainable rural tourism. Her advising and grants include supervising and examining graduate students in tourism studies, particularly focusing on cultural, ethical, and sustainable aspects. She has collaborated on projects addressing community participation in tourism, disaster response, and rural revitalization. Dr. Hashimoto’s work often integrates qualitative methods, including fieldwork, interviews, and content analysis, to explore tourism’s socio-cultural impacts.

Julie Markantمشاهده پروفایل

دانشیار

• Developmental Psychology
• Cognitive Development
• Attention and Learning Mechanisms
• +۳ مورد دیگر

Dr. Julie Markant is an Associate Professor in the Department of Psychology at Tulane University and a Faculty Associate in the Tulane Brain Institute. Her research focuses on the interplay between selective attention and learning in infants and young children, emphasizing developmental and neurobehavioral perspectives. She uses behavioral, eye-tracking, genetic, MRI, and fNIRS methods to explore how attention control influences learning efficacy and vice versa. Education: Ph.D., 2010, University of Minnesota Her research interests include developmental attention mechanisms, perceptual learning, and how biological and contextual factors shape cognitive outcomes. Key themes involve understanding how infants and children selectively attend to information and how this attention drives learning processes. Recent work explores caregiver influence on attention, prenatal factors affecting infant attention, and the role of competing information in school-aged learning. Dr. Markant leads the Learning and Brain Development Lab , which investigates cognitive and neural mechanisms underlying attention and learning. She is actively recruiting graduate students from Tulane’s Psychology and Neuroscience Ph.D. programs. Her publications reflect a focus on attention biases, developmental learning dynamics, and methodological innovations like remote infant studies. Awards and honors are not explicitly listed in the provided text.

Gagan Wigمشاهده پروفایل

دانشیار

• Brain Network Connectivity
• Cognitive Aging
• Alzheimer's Disease
• +۳ مورد دیگر

Gagan Wig is an Associate Professor at the University of Texas at Dallas, School of Behavioral and Brain Sciences, with adjunct appointments in Psychiatry at UT Southwestern Medical Center. He directs the Wig Neuroimaging Lab, focusing on brain network connectivity across lifespan, healthy/pathological aging, and brain health disparities. His research employs structural/functional MRI, DTI, and TMS to study large-scale brain networks and their relationship to memory and attention. Professional preparation includes: Post-doctoral Associate in Neurology, Washington University School of Medicine (2012) Post-doctoral Associate in Psychology, Harvard University (2009) Ph.D. in Cognitive Neuroscience, Dartmouth College (2006) B.S. in Behavioral Neuroscience, University of British Columbia (2001) Research explores how brain networks change during aging and how socioeconomic status moderates these changes. His work reveals that education protects against brain network decline and that participant diversity is crucial for advancing brain aging research. Publications focus on neuroimaging of lifespan changes, Alzheimer's biomarkers, socioeconomic impacts on brain health, and methodological innovations in network analysis. Recent work demonstrates how functional network organization supports cognition despite Alzheimer's pathology and how data quantity affects network segregation measures. Awards include the Understanding Human Cognition Scholar Award from James S. McDonnell Foundation (2006). He has received significant funding including a $2.9M NIH grant studying socioeconomic links to Alzheimer's susceptibility and DARPA support for novel data sonification approaches.

Małgorzata K. Citko-DuPlantisمشاهده پروفایل

استادیار

• Japanese Literature and Culture
• Premodern Cultural Studies
• Digital Humanities
• +۴ مورد دیگر

Małgorzata K. Citko-DuPlantis is an Assistant Professor of Japanese Literature and Culture at the University of Tennessee’s Department of World Languages and Cultures, within the College of Arts and Sciences. She holds a Ph.D. from the University of Hawaiʻi at Mānoa, alongside M.A. and B.A. degrees from Polish institutions (Collegium Civitas and University of Warsaw). Her research interrogates the instability of premodern knowledge systems, focusing on the Man’yōshū’s evolving cultural significance across medieval and modern eras. She challenges the canonical fixation on a single manuscript of this foundational poetry collection, arguing its role as a malleable cultural construct. Her work spans interdisciplinary areas including digital humanities, medieval Japanese poetry reception, and contemporary pop-media depictions of premodern Japan. Citko-DuPlantis has authored/co-authored monographs and peer-reviewed articles in English, Polish, and Japanese, with notable works like Clashes of Dragons and Dragonflies (2012) and her forthcoming monograph Embracing Instability: Imagining “Man’yoshū” in Medieval and Modern Japan . She has been awarded grants from the Japan Foundation, Fulbright, and MEXT, and has presented at major conferences such as the Association for Asian Studies and MLA. Her research awards reflect sustained scholarly impact, complemented by multilingual competence in languages including Arabic, Chinese, French, German, Hebrew, Italian, Japanese, Korean, Portuguese, Russian, and Spanish. Citko-DuPlantis actively engages with both academic and public spheres, bridging historical textual analysis with modern cultural phenomena.

Bo Wuمشاهده پروفایل

دانشیار

• Compilers and Programming Systems
• Heterogeneous Computing
• Machine Learning Systems
• +۴ مورد دیگر

Bo Wu is an Associate Professor in the Department of Computer Science at Colorado School of Mines. His research focuses on compilers and programming systems, particularly program optimizations for heterogeneous computing and emerging architectures, with applications in machine learning and graph processing. He joined Mines in 2014 after earning a Ph.D. from The College of William and Mary and earlier degrees from Central South University in China. Education : B.S. in Computational Science and Technology (Central South University, 2005) M.S. in Computer Science (Central South University, 2008) Ph.D. in Computer Science (The College of William and Mary, 2014) Research Interests : Wu's work emphasizes enhancing data locality in heterogeneous systems, GPU scheduling, and optimizing applications for emerging architectures. His contributions include frameworks like GraphZero for efficient graph mining and FLEP for GPU preemption. Awards & Grants : NSF SPX Award (2018) NSF CAREER Award (2018) Supercomputing Best Paper Award (2015) Multiple NSF grants for GPU-related research Advising & Grants : Wu has led several NSF-funded projects and actively participates in conference program committees (e.g., PPoPP, SC, ICS). His research spans compiler optimizations, parallel computing, and high-performance systems. Labs & Teams : While specific labs aren’t named, his work involves collaborations on GPU-based systems, graph processing frameworks, and compiler toolchains.

Susan Herbstمشاهده پروفایل

استاد

• Public Opinion
• Media Studies
• American Politics
• +۳ مورد دیگر

Susan Herbst is a Professor of Political Science and President Emeritus at the University of Connecticut. She previously served as the 15th President of UConn (2010–2019), returning to the faculty afterward. Her academic career includes roles as Executive Vice Chancellor of the University System of Georgia, Provost at the University at Albany (SUNY), and Dean of the College of Liberal Arts at Temple University. She holds a B.A. in Political Science from Duke University (1984) and a Ph.D. in Communication Theory from USC’s Annenberg School (1989). Her research focuses on public opinion, media, and American politics, with five authored books and numerous articles. She co-edits the University of Chicago Press’s Studies in American Politics series. Notable works include A Troubled Birth: The 1930s and American Public Opinion (2021) and President in the Maelstrom: FDR as Public Opinion Theorist (2021). Her scholarship bridges historical analysis with contemporary democratic theory, emphasizing media’s role in shaping public discourse. Herbst teaches at UConn’s Stamford campus, focusing on political communication and leadership. Her career reflects deep engagement with academic governance, institutional leadership, and scholarly contributions to understanding public opinion dynamics in American democracy.