جستجوی استاد راهنمای دانشگاهی

Gail E. Josephمشاهده پروفایل

استاد

• Early Childhood Education
• Child Development
• Social-Emotional Learning
• +۳ مورد دیگر

Gail E. Joseph is a Professor in the College of Education at the University of Washington, with affiliations in Early Childhood & Family Studies and Learning Sciences & Human Development. She teaches courses, advises students, and conducts research on early care and education, focusing on child care quality, social-emotional learning, teacher education, and technology integration. Ph.D., University of Washington Her research projects include statewide surveys on early childhood workforce conditions, studies on digital professional learning tools like Circle Time Magazine, and evaluations of coaching interventions (e.g., FIND in Childcare) to improve teacher-child interactions. She co-created resources such as Teacher Time and the EarlyEdU Alliance, which aims to enhance early childhood education through accessible bachelor’s degrees. Her publications span topics like social-emotional curricula, behavioral interventions, and inclusive education frameworks. She has held leadership roles as Principal Investigator (PI) of the Head Start Center for Inclusion and Co-PI of the National Center for Quality Teaching and Learning (NCQTL). 2018 David R. Thorud Leadership Award (University of Washington) She currently serves as Executive Director of Cultivate Learning at the University of Washington, advancing professional development and quality improvement initiatives nationwide.

Daria Frankمشاهده پروفایل

مدرس ارشد

• Fluid Mechanics
• Computational Mathematics
• Environmental Fluid Dynamics
• +۳ مورد دیگر

Daria Frank is a Senior Teaching Associate in Computational Mathematics at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, a position held since 2023. Previously, she served as Sultan Qaboos Early-Career Research Fellow and College Lecturer in Mathematics at Corpus Christi College (2020-2023), Director of Studies in Mathematics at Selwyn College (2019-2020), and Research Associate in Fluid Mechanics at DAMTP (2015-2019). Her academic foundation includes a PhD from DAMTP, University of Cambridge (2012-2015), Part III Mathematical Tripos at Cambridge (2009-2010), Diploma in Mathematics from Friedrich-Alexander-University of Erlangen-Nuremberg (2010-2011), and undergraduate studies in Mathematics and Physics at the same institution (2006-2009). Dr. Frank's research centers on complex fluid phenomena with emphasis on buoyancy-driven environmental flows , rotating plume dynamics , and practical engineering applications . Her work investigates pollution dispersal mechanisms, tornado formation processes, and energy-efficient building systems through rigorous theoretical and experimental frameworks. Key contributions address multiphase interactions in stratified environments and vortex behavior under rotational forces, bridging fundamental fluid dynamics with real-world environmental challenges. Publication trends reveal consistent focus on geophysical and environmental fluid mechanics, with recurring themes of density stratification effects, multiphase plume behavior, and rotational influences across atmospheric, oceanic, and built environments. Her work demonstrates strong interdisciplinary connections between theoretical modeling and practical engineering solutions. Dr. Frank held the prestigious Sultan Qaboos Early-Career Research Fellowship, supporting her investigations into fluid mechanics phenomena. Her academic service includes significant teaching responsibilities as Director of Studies in Mathematics at Corpus Christi College. As Director of Studies, she oversees undergraduate mathematics education while conducting research within DAMTP's fluid dynamics community. Her Sultan Qaboos Fellowship provided dedicated research time for fluid mechanics investigations, complementing her teaching role through integration of cutting-edge research into pedagogy. Current work continues to explore environmental fluid dynamics with potential applications in climate modeling and sustainable engineering.

Linda Argoteمشاهده پروفایل

استاد

• Organizational Learning
• Innovation
• Knowledge Transfer
• +۴ مورد دیگر

Linda Argote is the Thomas Lord Professor of Organizational Behavior and Theory at the Tepper School of Business, Carnegie Mellon University. She serves as Director of the Center for Organizational Learning, Innovation, and Knowledge. Her academic journey includes prior roles such as David M. Kirr Professor and Carnegie Bosch Professor. She holds a Ph.D. in Organizational Psychology from the University of Michigan and a B.S. in Psychology from Tulane University. Her research focuses on organizational learning, innovation, knowledge transfer, and group processes, with notable contributions to transactive memory systems and team performance. Argote has received prestigious awards like the Joseph E. McGrath Award and an Honorary Doctorate. She actively contributes to academic leadership through roles in editorial boards, grant reviews, and university committees. Her teaching includes courses on organizational learning and strategic management.

• Information Retrieval
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Mohammad Aliannejadi is an Assistant Professor at the IRLab (formerly ILPS) within the Informatics Institute at the University of Amsterdam. His research focuses on Information Retrieval (IR), machine learning, natural language processing (NLP), and conversational systems, particularly in modeling user information needs on mobile devices and conversational search systems. He holds a Ph.D. in Informatics from Università della Svizzera italiana (USI), Lugano, Switzerland, and a M.Sc. in Computer Engineering from Tehran Polytechnic. During his Ph.D., he visited the CIIR Lab at the University of Massachusetts Amherst, USA. His research interests include conversational search systems, recommender systems, unified search frameworks, and user-centric evaluation methodologies. Notable contributions include work on clarifying questions in open-domain dialogues, contextual suggestion systems, and cross-market recommendation. Aliannejadi has organized major shared tasks and workshops, including the IGLU Contest (NeurIPS 2021) and XMRec Workshop (RecSys 2021). He serves on program committees of top IR conferences like SIGIR, CIKM, and ECIR, and has authored over 50 peer-reviewed publications in these areas. His work has received recognition, including top performance in TREC Contextual Suggestion tracks (2015, 2016). He actively contributes to the IR community through teaching, including courses on Information Retrieval and Human-in-the-Loop Machine Learning at the University of Amsterdam.

Heewon Changمشاهده پروفایل

استاد

• Autoethnography
• Organizational Leadership
• Qualitative Research Methods
• +۳ مورد دیگر

Heewon Chang, Ph.D., is a Professor and Chair in the PhD in Organizational Leadership Department at Eastern University's College of Business and Leadership. She specializes in autoethnography and qualitative research methods, with notable works including Autoethnography as Method (2008). Her research focuses on multicultural education, leadership development, and collaborative learning within marginalized communities. Dr. Chang has contributed to advancing methodologies like Collaborative Autoethnography (CAE) and the Transformative Autoethnography Model (TAM). Her academic journey includes an MA in Education and Anthropology from the University of Oregon (1984) and Pennsylvania Elementary Teaching Certification (2000). She has served in leadership roles, emphasizing equity and inclusion in higher education. Her work bridges personal narratives with sociocultural analysis, impacting fields like organizational behavior and pedagogy. Key research themes include BIPOC doctoral student experiences, online leadership program efficacy, and systems thinking in education. Dr. Chang’s publications span journals and edited volumes, reflecting her commitment to democratizing knowledge through participatory research. She has also contributed to journal editing and community service, advocating for educational equity and mentorship for underrepresented scholars.

Masooda Banoمشاهده پروفایل

استاد

• International Development
• Islamic Studies
• Gender and Development
• +۵ مورد دیگر

Professor Masooda Bano serves as William Golding Senior Research Fellow at Brasenose College and Professor of Development Studies at the University of Oxford's Department of International Development. She leads the five-year ERC-funded Changing Structures of Islamic Authority (CSIA) project examining Islamic scholarly debates and their societal impacts. Her academic credentials include an MPhil in Development Studies from Cambridge and a DPhil from Oxford. These qualifications underpin her expertise in development theory and field research methodologies. Bano's research centers on the interplay between ideas, beliefs, and material incentives in development processes . She investigates how psycho-social factors shape individual choices and collective outcomes, with particular focus on Islamic authority structures, female education movements, and aid effectiveness. Her work combines large-scale comparative studies using ethnographic and survey data across Muslim-majority contexts. Recent publications reveal a concentrated focus on education policy in developing nations , especially Pakistan, Nigeria, and Indonesia. Key themes include decentralized education planning, low-fee private tuition markets, community participation models, and Islamic education systems. The research consistently examines religion-development intersections and institutional responses to social change. Her scientific recognition includes: Two competitive ESRC Fellowships A 1.4 million euro ERC Starting Grant for the CSIA project ESRC Best Social Science Impact award for Nigeria education interventions Bano supervises MPhil/DPhil theses at Oxford and has advised major development agencies, notably designing DfID's education reforms in northern Nigeria. Her CSIA project coordinates a multinational team conducting textual analysis, surveys, and ethnographic fieldwork to map evolving Islamic authority structures.

Furkan Alacaمشاهده پروفایل

استادیار

• Computer Security
• User Authentication
• Usable Security
• +۴ مورد دیگر

Furkan Alaca is an Assistant Professor at Queen's University's School of Computing, part of the Faculty of Arts and Science. His research focuses on user authentication systems, addressing security and usability challenges. He holds a Ph.D. (2018) in Computer Science from Carleton University, an M.A.Sc. (2012) in Electrical and Computer Engineering, and a B.Eng. (2010) in Communications Engineering, all from Carleton University. His academic career includes teaching roles at Queen's University and the University of Toronto Mississauga, where he taught courses such as Cryptography, Cybersecurity, and Discrete Mathematics. He is affiliated with Queen's Security Research Group and Computer Security Research Lab. Research interests include computer and internet security, usable security, authentication mechanisms, and systems security. He has contributed to advancements in web authentication frameworks, malware analysis, and privacy-preserving technologies. His work spans conferences like IEEE and ACM, with notable publications in cybersecurity, machine learning, and network efficiency. Current teaching includes CISC 447 (Introduction to Cybersecurity) and CISC 468 (Cryptography). He has advised on courses ranging from undergraduate programming to graduate-level security topics.

Barbara Krausمشاهده پروفایل

استاد

• Quantum Information Theory
• Quantum Computing
• Entanglement and Quantum Correlations
• +۴ مورد دیگر

Prof. Dr. Barbara Kraus is the Chair of Quantum Algorithms and Applications at the Technical University of Munich (TUM), affiliated with the TUM School of Natural Sciences. She previously held academic positions at the University of Innsbruck, where she founded her research group in 2010. Education : Physics and Mathematics at the University of Innsbruck; Post-doctoral work at MPI for Quantum Optics and University of Geneva. Her research focuses on foundational problems in quantum information theory, particularly entanglement in multipartite systems, quantum simulation, and verification of quantum processors. She develops theoretical tools for quantum many-body systems and explores applications in quantum computing, emphasizing error characterization and experimental validation. Recent publications highlight advancements in Hamiltonian learning, symmetry-resolved entanglement detection, and multipartite state transformations. Her work bridges theoretical quantum physics with practical implementations, including Rydberg platforms and quantum metrology. Key Awards : START Prize (2010), Ignaz L. Lieben Award (2013), Boltzmann Prize (2011), Südtiroler Sparkasse Research Prize (2019). She supervises doctoral students and postdocs in quantum information theory, with a focus on stabilizer states, quantum networks, and entanglement measures. Her courses at TUM include Quantum Information , Quantum Algorithms , and workshops on entanglement manipulation.

• Virology
• Molecular Biology
• Genomics
• +۶ مورد دیگر

James Van Etten is the William Allington Distinguished Professor of Plant Pathology at the University of Nebraska-Lincoln, affiliated with the School of Biological Sciences and Nebraska Center for Virology. His research focuses on chloroviruses—large dsDNA viruses infecting Chlorella-like algae—with emphasis on DNA replication, restriction systems, and membrane transport proteins. Key research themes include: Viral DNA modification systems Host-virus interactions Structural virology Evolution of organellar genomes Recent work analyzed: SMRT sequencing of viral methylation patterns Chlorovirus cryopreservation methods Potassium channel biophysics Host chemical signaling mechanisms Lab webpage: vanettenlab.unl.edu

Erik Learned-Millerمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Artificial Intelligence
• +۱۱ مورد دیگر

Erik Learned-Miller is a Professor and Chair of the Faculty at the Manning College of Information and Computer Sciences (CICS), University of Massachusetts Amherst. He is based in the Department of Computer Science and leads the Computer Vision Lab, with strong affiliations to the Center for Data Science. His work bridges machine learning and computer vision, focusing on foundational and ethical aspects of visual recognition systems. Education: PhD in Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2002 MS in Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1997 BA in Psychology, Yale University, 1988 Learned-Miller's research centers on machine learning methods for computer vision problems, particularly in scenarios with limited labeled data. His work includes one-shot learning , face detection and recognition , image and video segmentation , joint image alignment , and text recognition . He emphasizes unsupervised, self-supervised, and semi-supervised learning paradigms, and is actively involved in addressing societal concerns around the regulation of face recognition technology. His contributions have had a major impact on the computer vision community, most notably through the creation of widely used benchmarks such as Labeled Faces in the Wild and the Face Detection Database and Benchmark , which have become standard evaluation tools in the field. Scientific Awards and Honors: NSF CAREER Award (2006) Mark Everingham Award (2019) Microsoft-MIT Graduate Student Fellowship Learned-Miller has played significant roles in the academic community, including serving as Program Chair for the 2015 Conference on Computer Vision and Pattern Recognition (CVPR) and as a member of the editorial board of the Journal of Machine Learning Research . He has secured competitive research funding, including the NSF CAREER award, supporting his long-term research agenda. While specific advisees are not listed, he mentors graduate students through his lab and departmental roles. He leads the Computer Vision Lab at UMass Amherst, a research group focused on advancing the state of the art in visual understanding through machine learning. The lab is part of the broader research ecosystem within CICS and collaborates with the Center for Data Science, contributing to interdisciplinary efforts in AI and data-driven science.

Aage Hill-Madsenمشاهده پروفایل

دانشیار

• Translation Studies
• Medical Communication
• Systemic Functional Grammar
• +۵ مورد دیگر

Aage Hill-Madsen is an Associate Professor at the Department of Culture and Learning, Aalborg University (Denmark), affiliated with the Communication, Language, and Discourse (CLD) research unit. His work focuses on translation studies, medical communication, and systemic-functional linguistics. He holds a Cand.mag. et ling.merc. and a PhD in English linguistics. Research Interests: Translation theories (especially intralingual translation) Medical terminology simplification and communication Systemic-functional grammar applications Legitimation Code Theory in educational contexts Genre analysis of specialized texts Semiotic approaches to knowledge transmission Recent Publications Trends: His 2024-2025 work emphasizes medical translation between technical and lay audiences, with studies on EPAR summaries, patient information leaflets, and historical East-West medical terminology exchanges. He combines functionalist translation theory with systemic-functional frameworks to analyze textual transformations. Grants & Projects: Participated in the 2024-ongoing project Udvikling af kommunikative kompetencer gennem frivilligt brobygningsarbejde i NGO’en Social Sundhed , exploring communication skills through NGO activities. Academic Engagement: Active peer reviewer for journals like Globe and Across Languages and Cultures , with conference presentations on intralingual translation strategies and medical text accessibility.

• Neurology
• Movement Disorders
• Parkinson's Disease
• +۶ مورد دیگر

Professor Victor Fung is a leading academic in neurology and motor control at the Sydney Medical School , University of Sydney. He serves as Director of the Movement Disorders Unit at Westmead Hospital and holds prominent roles in the International Parkinson and Movement Disorder Society (President) and the Asia Pacific Affairs Committee of the Australian and New Zealand Association of Neurologists. His research focuses on Parkinson's disease , dystonia , tremor , and movement disorder genetics , with over 250 peer-reviewed publications and an h-index of 61. His work spans Clinical trials for Parkinson's treatments (e.g., foslevodopa/foscarbidopa infusion, incobotulinumtoxinA) Genetic studies on dystonia and Parkinsonism Neurophysiological assessments of tremor and balance Development of screening tools for dystonia and Parkinson's complications Key article trends highlight genetic diversity in dystonia, neuroinflammatory mechanisms in tremor, and behavioral neurology in Parkinson's disease. He contributes to editorial boards of npj Parkinson's Disease , Journal of Clinical Movement Disorders , and Faculty Opinions . While no explicit student lists are provided, his collaborations span global institutions. His clinical work at Westmead Hospital addresses device-assisted therapies and complex movement disorders.

• Artificial Intelligence
• Neurosymbolic AI
• Logic and AI
• +۷ مورد دیگر

Vaishak Belle is a Reader in Logic and Learning at the School of Informatics, University of Edinburgh, and serves as Director of Research and Innovation at the Bayes Centre (40% position). His academic career focuses on the critical intersection of artificial intelligence, formal logic, and machine learning systems. His research spans multiple domains within AI: Neurosymbolic AI integration approaches Logic-based machine learning frameworks Ethics, fairness, and responsibility in AI systems Generative AI and its societal impact Robotics with advanced reasoning capabilities Causal modeling and probabilistic reasoning Belle leads a research laboratory dedicated to advancing neurosymbolic AI, which combines the explainability of symbolic systems with the learning capabilities of neural networks. His recent work has explored abduction in logical frameworks, formal languages for AI safety, and the relevance of logic for general-purpose AI systems. He has made significant contributions to bridging the gap between theoretical AI foundations and practical applications. His publications demonstrate consistent focus on creating AI systems that can reason formally while learning from data, with applications ranging from robotics to ethical decision-making frameworks. His research addresses fundamental challenges in developing trustworthy, explainable AI that can operate safely in complex environments. Beyond technical research, Belle is actively engaged in AI education through executive programs on AI leadership and ethics, and has contributed to public understanding through his children's book "The girl and the robot" which explores human-robot relationships and emotional projection onto artificial agents. He maintains an active presence in the international AI research community, regularly participating in major workshops including Dagstuhl seminars on neurosymbolic AI, and collaborating with researchers across disciplines from computer science to philosophy.

Pedro Navaمشاهده پروفایل

دانشیار

• Urban and rural schooling inequality
• Critical pedagogy and critical race theory
• Immigration and education
• +۲ مورد دیگر

Dr. Pedro Nava is an Associate Professor and Director of Educational Leadership in the School of Education and Counseling Psychology at Santa Clara University. His scholarship centers on educational equity for Chicanx/Latinx and immigrant communities, combining critical race theory, participatory action research, and community-engaged methodologies. Education Ph.D. in Urban Schooling – University of California, Los Angeles, 2012 Ed.M. in Administration, Planning, and Social Policy – Harvard University, 2003 B.A. – California State University, Fresno, 1996 Research Interests Dr. Nava’s research interrogates systemic inequalities in urban and rural schooling, emphasizing critical pedagogy and critical race theory . He investigates how immigration status intersects with educational opportunity, and he collaborates with families and communities to co-construct transformative practices through participatory action research . His work also explores family-school-community engagement , leveraging community cultural wealth frameworks to amplify migrant and undocumented voices in educational policy and practice. Publication Trajectory Across more than two decades, Dr. Nava’s publications trace the evolution of critical scholarship in education. Early works examine institutional barriers for Chicano students, while recent studies integrate quantitative ethnography and testimonio methodologies to illuminate intersectional experiences of Latinx youth, undocumented graduate students, and farmworker families. Scientific & Community Awards No formal awards are enumerated in the provided text. Advising & Grants While specific grants and advisees are not listed, Dr. Nava’s leadership role as Director of Educational Leadership implies extensive mentoring of master’s and doctoral students, as well as oversight of grant-funded initiatives that advance equity-focused leadership preparation. Labs, Teams & Centers Dr. Nava directs the Educational Leadership programs within the School of Education and Counseling Psychology, fostering interdisciplinary collaboration and community-engaged research teams that partner with local schools, nonprofits, and migrant organizations.

Dimitra Psychogiouمشاهده پروفایل

استاد

• Microwave Engineering
• RF Filters
• Millimeter-wave Technology
• +۴ مورد دیگر

Dimitra Psychogiou is a Full Professor of Microwave Engineering at University College Cork and Principal Investigator at Tyndall National Institute's CONNECT Centre in Cork, Ireland. She leads the Advanced RF Technology Group, driving innovation in reconfigurable RF systems for next-generation wireless networks. Her academic credentials include: Dipl.-Eng. in Electrical and Computer Engineering, University of Patras (2008) Ph.D. in Electrical Engineering, ETH Zurich (2013) Prof. Psychogiou's research pioneers reconfigurable microwave filters , non-reciprocal RF components , and additive manufacturing for antenna systems . Her work bridges theoretical microwave engineering with practical implementations in 5G/6G front-ends, emphasizing sustainability through hyperflexible filtering architectures that reduce hardware complexity and energy consumption. Key innovations include acoustic-wave resonator filters and 3D-printed RF components enabling unprecedented miniaturization. Analysis of her 2022-2025 publications reveals a strategic shift toward multifunctional RF integration , where filtering coexists with isolation, amplification, and switching in single modules. This trend addresses critical industry needs for compact, software-defined radio front-ends in satellite communications and IoT networks, with increasing emphasis on reflectionless topologies and spatiotemporal modulation techniques. Her scientific recognition includes: 2023 MTT-S Outstanding Young Engineer Award 2021 Roberto Sorrentino Prize 2021 SFI Research Professorship 2020 NSF CAREER Award 2020 URSI Young Scientist Award UC Boulder Junior Faculty Research Award Prof. Psychogiou actively shapes her field through leadership roles as Chair of IEEE MTT-13 Committee and Secretary of USNC-URSI Commission D, while serving as Associate Editor for IEEE MWCL and IJMWT. Her group collaborates extensively with semiconductor foundries and wireless infrastructure companies to transition lab innovations to commercial applications. The Advanced RF Technology Group operates state-of-the-art facilities for GaAs MMIC prototyping, 3D-printed RF component fabrication, and full-wave electromagnetic characterization, supporting Ireland's strategic position in European telecommunications research.