جست‌وجوی استاد و پژوهشگر

Yifan Huمشاهده پروفایل

استاد

• AI
• Machine Learning
• Natural Language Processing
• +۴ مورد دیگر

Yifan Hu is a Professor of Practice at Northeastern University, specializing in AI/ML/NLP and Information Visualization. He held senior roles at Amazon (Senior Manager of Applied Science, 2023-2024) and Yahoo! Research (Senior Director, 2014-2023), leading teams in AI-driven projects. Earlier, he contributed to AT&T Labs, Wolfram Research, and Daresbury Laboratory. His research focuses on graph visualization, machine learning, and data science applications. Research interests include advanced visualization techniques (e.g., SmartGD framework), AI moderation systems, graph algorithms, and federated learning fairness. He has pioneered methods for graph layout optimization, dynamic data visualization, and adversarial NLP defenses. Notable achievements include winning the 2017 IEEE ICDM 10-Year Highest-Impact Paper Award for work on collaborative filtering. He currently teaches Data Mining (CS 6220) and Machine Learning (CS 6140) at Northeastern, emphasizing practical applications of AI. Labs/Projects: Actively develops visualization tools like SmartGD and DeepGD , exploring interdisciplinary applications in healthcare, cybersecurity, and large-scale data analysis. His work bridges theoretical advancements with industrial-scale implementations.

Ursula Mauricمشاهده پروفایل

استاد

• Global Citizenship Education
• Political Dimensions of Teaching
• Multilingual Didactics
• +۳ مورد دیگر

Mag.a Dr.in Ursula Mauric is a Professor at the University of Teacher Education Vienna (PH Wien), affiliated with the Urban Diversity Education Institute. Her academic focus includes global and political dimensions of teaching, multilingual didactics, and global citizenship education. She holds a Master of Arts in Global Citizenship Education (University of Klagenfurt) and a PhD in Philosophy and Educational Science (University of Vienna). Her professional background includes over a decade of coordination roles in international educational projects, particularly in Austria-Russia collaborations and multilingual school development initiatives. Her research emphasizes political education, democracy education, and the role of multilingualism in fostering inclusive societies. Notable contributions include work on the voXmi school network promoting multilingualism and the DivA Erasmus+ project addressing diversity. She coordinates federal initiatives like the Austrian Global Learning Strategy Group and actively participates in international conferences on citizenship education and educational management. Teaching responsibilities span seminars in intercultural practice, diversity dimensions in education, and mentoring programs for teacher training. Her publications (15+ articles since 2015) explore GCED implementation, multilingual pedagogy, and educational policy. Current projects include the Erasmus+ DivA initiative (2022–2025) and leadership roles in national educational networks.

Diane Dufortمشاهده پروفایل

مدرس

• Pervasive games
• Cultural mediation
• Transmedia storytelling
• +۴ مورد دیگر

Diane Dufort is a Lecturer in Information and Communication Sciences at the InfoCom Department of IUT Robert Schuman (University of Strasbourg). She also serves as Head of the minor 'Web Design, Design and Innovation' and Innovation and Digital Advisor. With a Doctorate in Information and Communication Sciences (2016), her research focuses on pervasive games, cultural mediation, and transmedia storytelling. She is affiliated with LISEC (University of Strasbourg) and ELLIADD (University of Burgundy Franche-Comté). Her work includes analyzing and designing pervasive games for cultural contexts, developing methodological frameworks, and exploring spatial and temporal boundaries in gameplay. Notable projects include the Airducation gamified training program and contributions to the Ecri+ project, enhancing French writing skills for students. She actively participates in academic events such as Ludovia and the Education & Technology Autumn School, emphasizing gamification, AI, and motivational strategies. Dufort’s research spans 47 analyzed pervasive games and includes contributions like the ARAI knowledge base. She has organized conferences and served on committees, reflecting her commitment to bridging game design with cultural institutions.

• Traditional/Classical Rhetoric
• Multimodal Composition
• Algorithms and Circulation
• +۳ مورد دیگر

Sean Miller is an Assistant Professor and Director of Writing in the Department of English and Languages at Louisiana State University Shreveport (LSUS). He joined LSUS in 2020 and holds a Master of Liberal Arts (MLA) from 2020, along with a JD and BA degree. His research focuses on traditional/classical rhetoric, multimodal composition, algorithms and circulation, and digital/visual rhetorics. He teaches courses including English Composition I and II, Introduction to Rhetoric and Writing Studies, and Digital Rhetoric. Degrees: MLA (2020), JD, BA Research interests emphasize the intersection of classical rhetorical principles with modern digital communication, algorithmic impacts on information dissemination, and multimodal approaches to composing. No scientific awards or grants are explicitly mentioned in the provided text. His current role involves academic leadership in writing programs, curriculum development, and teaching core writing courses.

John Ousterhoutمشاهده پروفایل

استاد

• Distributed Systems
• Operating Systems
• Storage Systems
• +۵ مورد دیگر

John Ousterhout is the Leonard Bosack and Sandy K. Lerner Professor of Engineering and Professor of Computer Science at Stanford University. He also holds a courtesy position in Electrical Engineering. His research focuses on infrastructure for software systems, including distributed systems, operating systems, storage systems, development frameworks, and programming languages. He is renowned for creating the Tcl scripting language and pioneering work in distributed operating systems and file systems. Education: Ousterhout earned a BS in Physics from Yale University (1975) and a PhD in Computer Science from Carnegie Mellon University (1980). He spent 14 years at UC Berkeley before moving to industry, founding Scriptics and Electric Cloud. He returned to academia at Stanford in 2010. Research Interests: Current projects emphasize granular computing—optimizing datacenter task execution at microsecond scales. This includes innovations in thread management, network communication, and logging systems. His past work includes RAMCloud (a low-latency storage system) and foundational contributions to distributed systems and file systems like Sawmill and Zebra. Scientific Awards: He is a member of the National Academy of Engineering and has received prestigious honors such as the ACM Software System Award, ACM Grace Murray Hopper Award, NSF Presidential Young Investigator Award, and U.C. Berkeley’s Distinguished Teaching Award. Industry Impact: As a serial entrepreneur, he co-founded Scriptics (Tcl/Tk) and Electric Cloud. His work on Tcl revolutionized scripting in software development and web frameworks. He has also contributed to AJAX-driven web components and program build architectures.

Sylvia Ratnasamyمشاهده پروفایل

استاد

• Computer Networking
• Networked Systems
• Distributed Systems
• +۵ مورد دیگر

Sylvia Ratnasamy is a Professor of Computer Science at the University of California, Berkeley, specializing in networked systems design. She holds affiliations with the International Computer Science Institute (ICSI), the Networked Systems Lab (NETSYS), and the Software Principles for Advanced Networking (SPAN) Center. Her research focuses on scalable network architectures, middlebox virtualization, data center networking, and distributed systems. Education: PhD in Computer Science from UC Berkeley (2002), Bachelor's in Computer Engineering from the University of Pune, India (1997). Research interests include networked systems, software-defined networking, middlebox architectures, and performance optimization. Notable contributions include the design of NetBricks, E2 framework for NFV, and foundational work on data-centric storage (e.g., OpenDHT). Recent work explores cloud-augmented autonomous driving, cellular network architectures, and hardware-accelerated scheduling. Major awards include the ACM Grace Murray Hopper Award (2014), ACM SIGCOMM Test-of-Time Award (2011), and Sloan Research Fellowship (2012). She has advised numerous projects funded by NSF, DARPA, and industry collaborations. Labs/Teams: Co-leads the SPAN Center for networking research. Active in academic service, including SIGCOMM Technical Steering Committee and program committees for top conferences like NSDI, SOSP, and HotNets.

• Spanish Language and Linguistics
• Cultural and Literary Studies in Spain
• Sports History and National Identity
• +۲ مورد دیگر

Juan Castillo is an Associate Professor in the Department of Spanish at the University of Northern Iowa's Languages and Literatures school. His academic career spans from 2001 to 2015, with promotions from Assistant to Associate Professor. Role: Spanish Language and Cultural Studies Institutional Affiliation: University of Northern Iowa Castillo's research bridges Spanish linguistics and sports history , with recent work examining: Environmental disclosures in business Quixotic narratives in Spanish sports heroes Syntactic structures in Romance languages Roman hydraulic engineering in Spain His publications reveal interdisciplinary expertise in: Linguistic theory Cultural identity formation Historical sociology Sports pedagogy

Ashutosh Trivediمشاهده پروفایل

دانشیار

• Safety in AI
• Reinforcement Learning
• Formal Methods
• +۴ مورد دیگر

Ashutosh Trivedi is an Associate Professor of Computer Science at the University of Colorado Boulder, where he leads research in the Programming Languages and Verification (CUPLV) group. His work focuses on making AI systems more trustworthy through the application of formal methods, particularly in safety-critical applications like medical devices and legal software. Trivedi's research interests span Safety in AI, Reinforcement Learning, Formal Methods, Software Fairness, and Software Accountability. He uses mathematical precision from formal methods to address the challenges of AI systems that learn from data rather than following fixed rules. His approach involves using formal languages, automata, and logic to turn vague natural-language instructions into clear specifications, enabling collaborative programming with AI that is explainable and reliable. His recent publications reveal a strong trend toward bridging formal verification techniques with reinforcement learning, particularly in safety-critical domains. His work frequently appears in top venues including AAAI, CAV, ICSE, and NeurIPS, with a focus on making AI systems behave safely, fairly, and responsibly even as they learn and adapt. Distinguished Paper Award at CAV for Regular Reinforcement Learning (2024) Senior Member of the ACM (2024) Royal Society Wolfson Visiting Fellowship (2024) NeuS 2025 Disruptive Idea Award NeuS'25 paper accepted for oral presentation Trivedi actively mentors PhD students, with recent graduates including Shadi Tasdighi Kalat (2025), Mateo Perez (2025), John Komp (2024), Vishnu Murali (2024), and Taylor Dohmen (2024). His students' theses focus on formal languages for reinforcement learning, safety verification, and principled AI system design. He leads the Programming Languages and Verification (CUPLV) research group at the University of Colorado Boulder, which develops formal techniques to verify and improve the reliability of programming languages and software systems, with particular emphasis on AI safety and accountability.

Thijs van de Laarمشاهده پروفایل

استادیار

• Bayesian Machine Learning
• Active Inference
• Probabilistic Programming
• +۳ مورد دیگر

Thijs van de Laar is an Assistant Professor at the BIASlab (Bayesian Intelligence and Autonomous Systems Laboratory) within the Department of Electrical Engineering at Eindhoven University of Technology. His research bridges advanced computational principles with real-world applications in uncertainty modeling. Education: PhD in Machine Learning (2019), Eindhoven University of Technology MSc in Natural Sciences (2010), Radboud University Nijmegen Research Focus: Bayesian machine learning, active inference, and probabilistic programming, with applications in autonomous agent control, hearing loss compensation, and efficient real-time decision-making systems. His work integrates insights from physics and neuroscience to develop novel computational frameworks. Software Contributions: Key contributor to ForneyLab.jl, a Julia toolbox for automated Bayesian inference through message passing on factor graphs. Also developed Herring.jl, a Poisson node extension for probabilistic modeling. Publications: His 15 most recent articles focus on variational message passing, active inference agents, epistemic value in graphical models, and factor graph-based algorithm design. These works span disciplines including artificial intelligence, control theory, and biomedical engineering.

• Open Source Software
• Software Engineering
• Human-Computer Interaction
• +۳ مورد دیگر

Marco Gerosa is a Professor at Northern Arizona University's School of Informatics, Computing, and Cyber Systems with an extensive publication record of 2001 scholarly works and an h-index of 35. His research bridges technical software engineering and human factors, focusing on real-world developer practices across open source ecosystems and collaborative environments. His primary research domains include: Open source software community dynamics and evolution Empirical studies of developer behavior and productivity Human-AI interaction in software development workflows Developer well-being and burnout prevention mechanisms Recent publications (2025) demonstrate methodological diversity, combining eye-tracking experiments, large-scale repository mining, and qualitative analysis to examine database adoption patterns, conversational AI personalization, and issue-triage decision processes. His work consistently emphasizes practical implications for improving developer tools and collaborative practices. No scientific awards were documented in the source materials. While specific advising details are unspecified, his 194 research outputs and 17 datasets indicate active mentorship and collaborative leadership. His projects frequently involve multi-institutional teams, suggesting sustained grant acquisition in empirical software engineering research. Current work shows particular focus on integrating AI capabilities with human-centered design principles in development tools.

Dana S. Dunnمشاهده پروفایل

استاد

• Social Psychology
• Rehabilitation Psychology
• Positive Psychology
• +۷ مورد دیگر

Dana S. Dunn is Professor of Psychology and Director of the Learning in Common (LinC) Curriculum at Moravian University in Bethlehem, PA. He earned his Ph.D. in experimental social psychology from the University of Virginia (1987) and a B.A. in psychology from Carnegie Mellon University (1982). A Fellow of the American Psychological Association (Divisions 1, 2, 8, 22) and the Association for Psychological Science, Dunn has held leadership roles including APA Division 2 President (2010) and Eastern Psychological Association President (2018-2019), with extensive service on APA committees. Research Expertise: Social cognition, attribution theory, rehabilitation psychology, positive psychology of disability, psychology education, and liberal arts assessment. Teaching: Courses on social psychology, personality, research methods, psychology of adjustment, and introductory psychology. Recent Publications focus on: Psychology education reform (APA Guidelines 3.0) Post-pandemic pedagogy and critical thinking Disability justice and ableism Visiting faculty roles and academic administration Psychological literacy and international standards Curriculum design and assessment frameworks Scientific Awards: Charles L. Brewer Distinguished Teaching of Psychology Award (2013) APA Harry Kirke Wolfe Lecturer (2015) Harold Yuker Award for Research Excellence (2009) Fellowship in multiple APA divisions Professional Contributions: Editor-in-Chief of Oxford Bibliographies: Psychology , author/editor of over 30 books, and frequent speaker at national psychology conferences. His work bridges social psychology, rehabilitation, and pedagogy, emphasizing the intersection of disability studies, educational assessment, and psychological science.

Yannis Velegrakisمشاهده پروفایل

استاد

• Big Data Management & Analytics
• Knowledge Discovery
• Graph Management
• +۱۵ مورد دیگر

Yannis Velegrakis is a Professor in the Department of Information and Computing Sciences at Utrecht University, where he holds the chair of Very Large Data Management. He leads the Data Intensive Systems research group and is the program leader for the Master’s in Data Science . He is also a part-time faculty member at the University of Trento and a Principal Investigator at the Archimedes AI and Data Science hub, Athena Research Center . Education: PhD in Computer Science, University of Toronto MSc in Computer Science, University of Crete BSc in Computer Science, University of Crete His research focuses on Big Data Management & Analytics , Knowledge Discovery , Graph Management , Data Integration , and Data Quality . His work combines theoretical rigor with practical system development, emphasizing human-centered approaches to data exploration and analysis. He has pioneered methods in example-based search, entity resolution, and dynamic graph analysis. His recent publications reflect a strong trend in knowledge graph exploration , data quality assessment , and dynamic network mining . These works often integrate machine learning with database systems to support interactive and intelligent data discovery. His research bridges foundational data management with applied AI, particularly in the context of real-world data challenges. Scientific Leadership and Awards: PC Chair, ICDE 2024 General Chair, VLDB 2013 PC Chair, EDBT 2021 He has advised numerous researchers and contributed to major projects in data integration and semantic search. His secondary activities include visiting positions at IBM Almaden , AT&T Research Labs , UC Santa Cruz , and University of Paris-Saclay . He has secured funding through collaborative research initiatives and has served on program committees of top international conferences. He leads the Data Intensive Systems group, which develops innovative tools for managing and exploring large-scale, heterogeneous datasets. The group emphasizes systems that support intuitive, example-driven interaction with complex data, aligning with the principles of human-centered AI.

Rupa S. Valdezمشاهده پروفایل

استاد

• Health Informatics
• Human Factors Engineering
• Cultural Anthropology
• +۶ مورد دیگر

Rupa S. Valdez is a Professor at the University of Virginia, holding dual appointments in the Department of Systems and Information Engineering and the Department of Public Health Sciences. Her work bridges human factors engineering, cultural anthropology, and health informatics to improve healthcare systems for marginalized populations, including low-income communities, rural populations, communities of color, and people with disabilities. She is a leader in participatory design methodologies and has testified before Congress on health equity issues. Valdez serves on the Board of Directors for the American Association of People with Disabilities and advises federal agencies such as the Agency for Healthcare Research and Quality (AHRQ) and the National Academy of Sciences, Engineering, and Medicine. She founded the Blue Trunk Foundation, focusing on disability advocacy and health equity. Her research emphasizes the social determinants of health, leveraging ergonomics to address structural barriers in healthcare systems. Key areas include exoskeleton technology for nurses, AI-driven healthcare solutions, and culturally informed mHealth applications for dementia care. Valdez’s work often integrates macroergonomic principles to assess how social networks, environments, and technologies shape patient experiences. Recent projects include NIH-funded investigations into systemic failures affecting people with disabilities and qualitative studies on caregiving networks for children with medical complexity. In addition to her academic leadership, Valdez has published extensively on health disparities, telehealth accessibility during the pandemic, and citizen science approaches to precision medicine. Her contributions span over 130 peer-reviewed articles and have influenced federal health policies and clinical practices. Awards and recognitions include her role as an Associate Editor for Ergonomics and Journal of the American Medical Informatics Association Open , as well as her advocacy work highlighted in national media. She is actively involved in training the next generation of researchers through interdisciplinary graduate programs at the University of Virginia.

Shital Desaiمشاهده پروفایل

دانشیار

• Accessible Technology
• Healthcare Design
• Assistive Technologies
• +۳ مورد دیگر

Dr. Shital Desai is an Associate Professor and Tier II York Research Chair in Accessible Interaction Design at York University's School of the Arts, Media, Performance & Design. She leads the CFI-funded Social and Technological Systems (SaTS) Lab, focusing on UN Sustainable Development Goals related to health and wellbeing through accessible technologies and policies for marginalized groups. Her work emphasizes human-centered design of assistive technologies for seniors, dementia care, and global health. She holds a PhD from Queensland University of Technology, Australia. Dr. Desai's research bridges design, technology, and policy, with a strong emphasis on participatory methods. She collaborates with the WHO Dementia Knowledge Exchange and contributes to global health systems through initiatives like the Connected Minds program. Her expertise includes STEAM education integration, mixed reality applications, and accessibility guidelines for emerging technologies like the Metaverse. She has been recognized with awards such as the Petro Canada Young Innovator Award and was a semi-finalist for the Longitude Prize for Dementia. Education: PhD, Queensland University of Technology, Australia Labs/Teams: Social and Technological Systems (SaTS) Lab Outreach: Global health projects, Montessori co-design initiatives Grants: NSERC Discovery Grant, CFI funding Her articles explore topics ranging from mixed reality cues for dementia patients to pandemic-era senior connectivity. She actively mentors students in systems thinking and human-centered design principles.

Bethan Marshallمشاهده پروفایل

مدرس ارشد

• English Education
• Assessment in Education
• Literacy Development
• +۳ مورد دیگر

Dr Bethan Marshall is a Senior Lecturer in English Education at King's College London (KCL), based in the School of Education, Communication & Society within the Faculty of Social Science & Public Policy. Her research focuses on English curriculum philosophies, teacher identity development, assessment methodologies, and the intersection of film/television with literacy education. She leads projects like the 'Sustaining teacher quality and retention post-pandemic' study examining pandemic impacts on teacher training and development. Her work explores how English teachers' evolving subject philosophies influence pedagogical practices, with a particular emphasis on policy implications. She has contributed to comparative studies analyzing English education systems in Canada, England, and Scotland, examining the role of autonomy in classroom practices. Dr Marshall is affiliated with the Research Centre for Language, Discourse & Communication (LDC), a hub for applied linguistics and language-in-education research. Her recent publications emphasize post-pandemic educational challenges, dialogic assessment strategies, and cross-jurisdictional curriculum comparisons. Her research trends highlight a focus on teacher development, assessment innovation, and global comparative education studies. She has pioneered frameworks for embedding formative assessment practices and exploring the impact of multimodal literacies in contemporary classrooms.