جست‌وجوی استاد و پژوهشگر

Narges Mahyarمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Information Visualization
• Digital Civics
• +۴ مورد دیگر

Narges Mahyar is an Associate Professor at the University of Massachusetts Amherst in the Manning College of Information and Computer Sciences (CICS) . She is currently on sabbatical with the Aviz team at the Inria Center, University of Paris-Saclay . Her research focuses on Human-Computer Interaction (HCI) , Information Visualization , and Digital Civics , aiming to empower communities through technology. Education: She holds a PhD in Computer Science from the University of Victoria, an MS in Information Technology from the University of Malaya, and a BS in Electrical Engineering from Tehran Azad University. She completed postdoctoral fellowships at the University of British Columbia (2014–2016) and the University of California San Diego (2016–2018). Research Interests: Her work addresses complex societal challenges like climate change, urban planning, and healthcare by designing inclusive technologies. Key areas include civic engagement, data visualization for equity, and integrating AR/VR for public participation. Notable projects include CommunityClick and RisingEMOTIONS , which enhance public input in decision-making. Publications & Awards: With over 50 publications, her work has received prestigious awards including Best Paper Awards at CHI 2023 , Eurovis 2022 , and CSCW 2020 . Her research emphasizes ethical design and inclusivity, particularly involving marginalized communities. Grants & Advising: She has secured grants totaling over $1.4 million, including NSF funding for projects like "Mapping Instability" . Advises PhD student Mahmood Jasim and collaborates with Ali Sarvghad and Pari Riahi on interdisciplinary research. Labs & Teams: Leads the HCI-VIS Lab at UMass, focusing on social computing and visualization. Collaborates internationally with teams like Aviz and Inria on civic tech initiatives.

Gerome Miklauمشاهده پروفایل

استاد

• Data Privacy
• Database Systems
• Differential Privacy
• +۳ مورد دیگر

Gerome Miklau is a Professor of Computer Science at the University of Massachusetts Amherst, affiliated with the Manning College of Information and Computer Sciences (CICS). He leads the DREAM Lab and focuses on privacy, security, and equitable data management, particularly in differential privacy and fair data analysis. His work includes designing algorithms for private data synthesis, privacy-preserving SQL engines, and auditing systems like AuditGuard. He co-founded Tumult Labs to commercialize privacy technology and advised the U.S. Census Bureau on privacy for the 2020 decennial census. Education: Ph.D. in Computer Science from the University of Washington (2005), B.S. in Mathematics and Rhetoric from UC Berkeley (1995). Research Interests: Differential privacy, secure data management, fairness in algorithms, privacy-preserving data synthesis, and forensic database analysis. His lab develops tools like Ektelo and PrivateSQL, addressing challenges in privacy-accurate tradeoffs and scalable private data processing. Awards: 2006 ACM SIGMOD Dissertation Award, 2007 NSF CAREER Award, 2013 ICDT Best Paper Award, and two ACM PODS Test-of-Time Awards (2020 and 2012). Grants & Service: Co-chair of OpenDP Advisory Board, steering committee member for TPDP workshops, and organizer of the 'Data, Responsibly' Dagstuhl workshop. His service includes program committees for SIGMOD, ICML, and FAT*. He teaches courses on databases, privacy, and programming. Labs/Teams: DREAM Lab (Data systems Research for Exploration, Analytics, and Modeling) and collaborations with the Center for Data Science and Cybersecurity Institute at UMass Amherst.

Griffin Weberمشاهده پروفایل

دانشیار

• Biomedical Informatics
• Social Network Analysis
• Team Science
• +۵ مورد دیگر

Griffin Weber, M.D., Ph.D., is an Associate Professor of Medicine and Biomedical Informatics at Harvard Medical School (HMS) and Beth Israel Deaconess Medical Center (BIDMC). He directs the Biomedical Research Informatics Core (BRIC) at BIDMC. His research focuses on expertise mining, social network analysis, and biomedical informatics. Key contributions include developing Profiles RNS (an open-source research networking platform) and i2b2 / SHRINE federated query tools for clinical data. He holds MD and PhD degrees from Harvard (2007), and earlier degrees in bioengineering and computer science. Education: SB in Bioengineering (Harvard, 2000), SM/PhD in Computer Science (Harvard, 2004/2005), MD (Harvard, 2007). He served as Harvard Medical School's first Chief Technology Officer, building educational platforms for 500+ courses. His work spans DNA microarrays, breast cancer tumor modeling, and EHR bias analysis. Research Interests: Leveraging informatics to improve healthcare through federated data systems, team science dynamics, and EHR analysis. Projects include Profiles RNS for researcher networks and i2b2 for clinical data queries across institutions. He explores biases in EHR data filtering and visualizing healthcare system dynamics in biomedical data. Grant Leadership: Principal investigator on NIH grants addressing EHR biases (R01LM013345), healthcare system dynamics (U01CA198934), and scientific workforce networks (U01GM112623). Collaborator on PCORI and NIH-funded initiatives. Awards: 2020 Fellow of the American College of Medical Informatics; 2011 Top Podium Presentation (AMIA); 2007 Medical Technology Award (Massachusetts Medical Society). Labs/Teams: Leads BRIC at BIDMC, collaborates on i2b2/SHRINE, and contributes to the 4CE consortium for federated healthcare data analysis.

• Cartography
• Geomatic Engineering
• Historical Map Analysis
• +۴ مورد دیگر

Dr. Yizi Chen is a Researcher affiliated with the Professorship for Cartography at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. Their work focuses on advancing cartographic techniques through AI-driven methods, historical map analysis, and geospatial technologies. Key contributions include automated map vectorization, semantic segmentation of historical maps, and integrating multimodal data for robotic systems. They have published extensively in top-tier journals and conferences, addressing challenges in deep learning applications for geomatic engineering. Education details are not explicitly provided in the text. Research interests include semantic segmentation, generative AI for cartography, and steganography in image translation. Notable publications span topics from eye-tracking segmentation to urban land use mapping, reflecting a strong interdisciplinary approach. Dr. Chen collaborates on projects involving historical map digitization and benchmarking datasets for computer vision tasks. No awards or grants are mentioned. Their work contributes to advancing geomatic engineering through innovative solutions in digital mapping and spatial data analysis.

Ignacio Castilloمشاهده پروفایل

استاد

• Facility Location
• Operations Research
• Supply Chain Management
• +۳ مورد دیگر

Ignacio Castillo is a Professor and Associate Dean of Business (Graduate Academic Programs) at the Lazaridis School of Business and Economics, Wilfrid Laurier University. His expertise spans facility location optimization, supply chain management, and sustainable operations. He holds a leadership role in graduate academic programming and teaches courses in operations and statistics. Research focuses on optimizing facility layouts, material handling systems, and closed-loop supply chains. He has developed frameworks for multi-objective facility design and advanced packing optimization algorithms. His work bridges theoretical models with real-world applications in manufacturing and retail sectors. Publications emphasize nonlinear optimization techniques, packing problems, and supply chain coordination strategies. Recent work explores irregular object configurations and retail category space optimization. His textbooks include Business Statistics for Contemporary Decision Making and Operations Management , emphasizing practical decision-making tools. Office: LH4001M | Languages: English, Spanish

James Mitchellمشاهده پروفایل

استاد

• Public Policy
• Devolution Studies
• Scottish Politics
• +۵ مورد دیگر

James Mitchell is a Professor of Public Policy at the University of Edinburgh’s School of Social and Political Science . He holds a MA (Political Studies) from the University of Aberdeen and a D.Phil. (Oxford). His research focuses on British politics, devolution, public policy, territorial politics, and Scottish nationalism. He has supervised over 30 years of PhDs and Masters in public policy, devolution, and constitutional politics. Key research themes include fiscal accountability in Scotland, party membership surges post-referendum, and multi-level governance. Research Projects: ESRC-funded study on SNP and Scottish Greens’ post-referendum membership growth Investigation of fiscal devolution’s accountability gaps Analysis of Scotland’s constitutional questions and local governance Research Interests: Mitchell explores territorial politics, public service reform, and political behavior in sub-state governments. He has contributed to debates on Scottish independence, EU referendum impacts, and intergovernmental relations. Recent work includes studies on the SNP leadership contest (2023) and Holyrood’s fiscal structures. Grants & Awards: He has secured grants from the Economic and Social Research Council (ESRC) for projects on party membership and constitutional dynamics. No specific scientific awards are listed, but his work is widely cited in political science and public policy. Labs & Teams: He is part of the Territorial Politics Research Group and has collaborated on regional economic forecasting and governance studies. His work often bridges academia and policy, influencing debates on devolution and public finance.

• AI Algorithms
• Economic Inequality
• Pricing Algorithms
• +۳ مورد دیگر

Shunyuan Zhang is an Assistant Professor at Harvard Business School with research focusing on AI algorithms, economic inequality, and computer vision applications in business contexts. His work examines how algorithmic systems impact economic outcomes, particularly in sharing economy platforms like Airbnb. His research interests include AI algorithms, economic inequality, pricing algorithms, machine learning, computer vision, and the sharing economy. Zhang's work often combines technical computer vision approaches with economic analysis to understand platform dynamics. Zhang's recent publications demonstrate a strong focus on the intersection of AI, fairness, and economic outcomes. His work analyzes how algorithmic pricing affects racial disparities on platforms like Airbnb, and how visual content impacts demand in the sharing economy. His research employs sophisticated methodologies including deep learning, structural modeling, and causal inference. He has published in top journals and working paper series, with notable work including 'Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb' and 'What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features.' Zhang collaborates extensively with leading researchers at Carnegie Mellon University and University of Toronto, particularly on topics related to algorithmic fairness and platform economics. His work has significant implications for both academic understanding and practical policy recommendations regarding algorithmic systems in marketplace contexts.

Michael Pawlovichمشاهده پروفایل

استادیار

• Traffic Safety
• Traffic Operations
• Statistical Analysis
• +۲ مورد دیگر

Michael Pawlovich is Assistant Professor of Civil and Environmental Engineering at South Dakota State University's Jerome J. Lohr College of Engineering. His research focuses on traffic safety analytics, statistical modeling of crash data, and transportation infrastructure evaluation. Research expertise includes: Statistical methods for safety evaluation (Empirical Bayes, Bayesian modeling) Geometric design safety impacts Rural intersection safety Infrastructure treatment effectiveness Honors include multiple National Roadway Safety Awards and AASHTO recognitions. Publications demonstrate consistent application of advanced statistics to traffic safety challenges.

• Computer Vision
• Natural Language Processing
• Machine Learning
• +۱ مورد دیگر

Dr. Zhenghao Chen is an Assistant Professor at the University of Newcastle. He holds a B.Eng. H1 and Ph.D. from the University of Sydney (2017 and 2022). His research focuses on Computer Vision, NLP, and Machine Learning, with expertise in Generative AI. He has published in top conferences like CVPR and journals such as IEEE T-IP. Awards include the Google Australia Prize and ACM SIGMM Outstanding Thesis Award. He previously worked at TikTok and Disney Research, and serves on program committees for major conferences. Research interests emphasize generative models and industrial applications. His publications span topics like image compression, facial recognition, and medical imaging. Awards highlight academic and industrial recognition. Teaching includes courses on visual signal understanding and video intelligence. Current roles include HDR recruitment and organizing international workshops.

Brian Leventhalمشاهده پروفایل

دانشیار

• Item Response Theory
• Bayesian Applications in Psychometrics
• Survey Methodology
• +۳ مورد دیگر

Brian Leventhal is an Associate Professor of Graduate Psychology and Director of the Assessment & Measurement PhD program at James Madison University. He holds a PhD in Research Methodology, Measurement, and Statistics from the University of Pittsburgh (2017), an MA in Applied Statistics (2013), and a BS in Mathematics from Clarkson University (2011). His work focuses on advancing psychometric methodologies, particularly in item response theory (IRT), Bayesian applications, and survey development. Leventhal’s research emphasizes multidimensional IRT, response style analysis, and the application of IRTree models to assess disengagement and validation processes. He leads the ITEMS (Interactive Tools for Measurement Education) initiative, developing online modules to enhance educational measurement practices. His recent work explores interprofessional collaboration between behavior analysts and school psychologists, as well as alignment between general education and program-specific learning outcomes. He has contributed to the NCME’s digital modules on data visualization and Monte Carlo simulations, and his articles frequently address methodological innovations in psychometrics. Leventhal is actively involved in James Madison University’s CARS (Center for Assessment and Research Studies), driving institutional assessment strategies and program evaluation initiatives.

Carlos Lopezosaمشاهده پروفایل

استاد مهمان

• SEO
• Web Visibility
• Systematic Reviews
• +۴ مورد دیگر

Carlos Lopezosa is a Visiting Professor at the University of Barcelona (UB) under a Margarita Salas postdoctoral fellowship. Previously, he held an Associate Professor position at the Pompeu Fabra University (UPF), where he taught across the Faculty of Communication, including Journalism, Advertising, and Audiovisual Communication. He also coordinated the Online Master's in SEO/SEM at the Barcelona School of Management (UPF). His research focuses on web visibility strategies (SEO, voice search, social media curation), qualitative methodologies (systematic reviews, semi-structured interviews), and AI applications in digital journalism. He is affiliated with the UB's Faculty of Information and Audiovisual Media, contributing to research groups like Professorat GIDD. His work bridges academic research with practical media strategies, emphasizing ethical AI integration and algorithmic transparency. Key research areas include news curation, AI-driven data analysis, and digital media ethics. Lopezosa has published extensively in journals like Future Internet , DOXA Comunicación , and El Profesional de la Información , with over 50 peer-reviewed articles since 2018. His current projects explore AI's role in newsrooms, Google News algorithms, and multidimensional journal evaluation frameworks. Education: Doctor in Information Sciences Research Interests: SEO strategies, content curation, AI in media, systematic reviews Grants: Margarita Salas Postdoctoral Fellowship (UB) His work often addresses challenges in digital media visibility, ethical AI implementation, and the evolving role of algorithms in news dissemination. Lopezosa collaborates with institutions like the CRICC research center and frequently presents at international conferences on digital media trends.

Jack Mostowمشاهده پروفایل

استاد پژوهشی

• Educational Technology
• Artificial Intelligence
• Natural Language Processing
• +۳ مورد دیگر

Jack Mostow is a Research Professor affiliated with the Human-Computer Interaction Institute at Carnegie Mellon University. His work focuses on educational technology, artificial intelligence, and natural language processing. He is renowned for developing Project LISTEN's automated reading tutor that listens to children's oral reading, integrating speech recognition and machine learning to improve literacy. His research addresses challenges in child literacy, automated assessment, and the application of AI in education. Key contributions include advancing speech recognition accuracy for children’s voices, designing adaptive tutoring systems, and exploring EEG and visual features to gauge learning states. He has contributed to global education initiatives, such as the XPRIZE field study, and developed tools for iterative improvement of intelligent tutoring systems. His work emphasizes scalable educational technologies for under-resourced regions and data-driven approaches to enhance learning outcomes. Mostow’s publications span over two decades, addressing topics like reinforcement learning for instructional policies, semi-supervised affect perception, and difficulty-controllable question generation. His research bridges AI, education, and human-computer interaction, aiming to create systems that adapt to learners’ needs while advancing computational methods for educational analytics.

Gerardo L. Blancoمشاهده پروفایل

دانشیار

• Educational Leadership & Policy
• Comparative & International Education
• Quality Assurance in Higher Education
• +۳ مورد دیگر

Gerardo L. Blanco is an Associate Professor at Boston College's Lynch School of Education and Academic Director of the Center for International Higher Education (CIHE). His research explores intersections of quality assurance, internationalization, and social justice in higher education, with a focus on accreditation, rankings, and institutional identity construction. Education: Ed.D. in Education (University of Massachusetts Amherst), M.Ed. (University of Maine), B.A. (Universidad de las Américas, Puebla, Mexico) Blanco's work challenges neoliberal and colonial assumptions in global higher education metrics. He examines how institutions communicate quality through digital platforms and advocates for localized, inclusive frameworks over Northern-dominated paradigms. His scholarship spans critical analyses of accreditation practices, internationalization strategies, and equity implications of US policy on refugee and international students. Recent publications highlight trends in global quality assurance, decolonial readings of rankings, and critical visual methodologies. His research scrutinizes the paradoxes of internationalization, including power asymmetries in mobility programs and the commodification of educational experiences. Key Awards: Best Research Article (CIES, 2017) Fulbright Specialist Appointment (2020) Best Dissertation Honorable Mention (CIES, 2014) New Scholars Fellowship (CIES, 2012) Blanco leads editorial roles in top journals and collaborates on grants addressing internationalization challenges, including post-COVID mobility and global student housing equity. His work emphasizes cosmopolitanism, intergroup dialogue, and institutional transformation for social justice.

Daniel Harrisonمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Digital Health
• Inclusive Technology Design
• +۳ مورد دیگر

Dr. Daniel Harrison is an Assistant Professor in the School of Design, Arts, and Creative Industries at Northumbria University, where he serves as EDI and Athena SWAN Co-Lead and leads the HCI+Design Research Group. His academic journey includes a PhD from UCL's Interaction Centre (UCLIC) and research at Georgia Institute of Technology and Microsoft Research Cambridge. His work focuses on Human-Computer Interaction (HCI), digital health, and inclusive technology design, particularly in sports and wellbeing. Education: PhD in Human-Computer Interaction, UCL Interaction Centre (2020) MSc (2012), BSc (Hons) (2010) Research Interests: Intersection of technology, inclusivity, and sports (SportsHCI) Participatory methods (co-design, ethnography) Developing inclusive technologies for underrepresented groups Recent Projects: Co-authored Grand Challenges in SportsHCI Initiatives for inclusive sports technology Design of wellbeing-focused digital tools Advising: Mentors three PhD students researching topics such as neurodivergent workers, financial technology for international students, and gamified sports participation. Labs/Teams: HCI+Design Research Group at Northumbria University.

• Architectural Typology
• Sustainable Urban Transformation
• Solar Energy Integration in Architecture
• +۳ مورد دیگر

Andreas Lechner is an Associate Professor at Graz University of Technology (TU Graz) , Institute of Building Science. He is also a Visiting Professor at TU Berlin and Politecnico di Milano , indicating an international academic presence. His office hours are available on Tuesdays from 9:00-11:00, with portfolio requirements for diploma inquiries. Research Focus: Lechner's work explores architectural typologies, urban peripheries, and sustainable building practices. His research emphasizes the intersection of theory, design, and practice, particularly through counterintuitive approaches to architectural typologies and their affordances. Publications Trends: Recent work focuses on hybrid architectural practices, typological affordances, and peripheral urbanism. He examines how architectural typologies can be reimagined through the lens of the "Peripherocene," a concept challenging traditional urban center/periphery dichotomies. Design Philosophy: Lechner's "Counterintuitive Typologies" approach challenges conventional design paradigms, particularly in his analysis of urban buildings and their transformative potential. His work on solar energy integration in architecture demonstrates a commitment to sustainable design. Academic Contributions: Through his publications in journals like Journal of Architecture and edited volumes like GAM series, Lechner has been examining architectural theory, material rethinking, and the paradoxes of urban development since at least 2012. Professional Engagements: He has been involved in exhibitions and curation activities, including guest curatorship at Haus der Architektur in Graz. His personal website and social media presence ( @a_alechner ) demonstrate a commitment to public architectural discourse.