جستجوی استاد راهنمای دانشگاهی

Professor Bruce N. Walker holds a joint appointment in the School of Psychology and School of Interactive Computing at Georgia Institute of Technology, within the College of Sciences. His research focuses on human-centered technology design, emphasizing accessibility, auditory displays, and human-AI interaction. He leads the Sonification Lab, pioneering multimodal interfaces and inclusive technology solutions. He earned his Ph.D. in Human Factors and Human-Computer Interaction from Rice University in 2001. Research Interests: Trust in technology, accessible interfaces, sonification, AI-human collaboration, and HCI in non-traditional environments. Current projects include the AccessCORPS VIP initiative to enhance course accessibility and studies on automated vehicle interaction. Awards: Best Paper Award at AudioMostly 2014 for auditory weather reports research. Active in professional organizations like the International Community for Auditory Display and Human Factors and Ergonomics Society. Teaching: Courses include Research Methods for Human Factors, Sensation and Perception, and HCI Foundations. Supervises interdisciplinary teams in the Sonification Lab R&D Studio and AccessCORPS VIP. Labs/Teams: Sonification Lab (multimodal data exploration) and AccessCORPS (disability-inclusive course design). Collaborates on international projects like the Mwangaza initiative for learners with vision impairment in Kenya.

• Human-Computer Interaction (HCI)
• Auditory Displays
• Data Sonification
• +۷ مورد دیگر

Annie Antón is a Professor in the School of Interactive Computing at Georgia Institute of Technology. Former Chair of her school, she specializes in privacy, security, software engineering, and public policy. Dr. Antón advises national defense and intelligence entities, including roles in the IDA/DARPA Defense Science Study Group (2005-2006) and the Obama-appointed 2016 Commission on Enhancing Cybersecurity for the Nation. She serves on numerous boards, including NIST Information Security & Privacy Advisory Board, Future of Privacy Forum, and former roles in U.S. DHS Data Privacy Committee and NSF Advisory Council. Her research focuses on aligning software systems with federal privacy/security regulations, emphasizing legal compliance, secure development practices, and IoT privacy challenges. Notable projects include UCON_LEGAL for HIPAA compliance and frameworks for analyzing regulatory requirements. She has contributed to policy implementations via empirical studies on user privacy perceptions and legal text mining. Dr. Antón's work bridges technical and policy domains, addressing ethical AI education, cross-border data governance, and cybersecurity preparedness. Her leadership spans academia, government, and industry through advisory roles at Intel, Microsoft Research, and the Georgia Tech Alumni Board.

• Privacy
• Cybersecurity
• Software Engineering
• +۴ مورد دیگر

Yu Huang is an Assistant Professor of Computer Science at Vanderbilt University with a secondary appointment in the Department of Teaching and Learning at the Peabody School of Education. She is affiliated with the Institute for Software Integrated Systems, the Frist Center for Autism and Innovation, the Vanderbilt Lab for Immersive AI Translation (VALIANT), and the Vanderbilt LIVE Learning Innovation Incubator. Her research focuses on human-centered AI for software engineering, combining human cognition with machine intelligence to enhance software development processes. Educated at the University of Michigan (PhD, 2021), University of Virginia (MS, 2015), and Harbin Institute of Technology (BS, 2011), her work spans software engineering, human factors, AI, and medical imaging. Key projects include the MIND Lab, studying programmer expertise and cognitive processes, and the HumanAISE workshop on Human-Centered AI for Software Engineering. Huang has received significant recognition, including the 2025 ICPC Vaclav Rajlich Early Career Achievement Award and three ACM SIGSOFT Distinguished Paper Awards. Her research is supported by NSF, GitHub, and Vanderbilt initiatives. She advises numerous graduate and undergraduate students, emphasizing diversity and innovation in programming education.

• Software Engineering
• Human-Centered AI
• Human Factors in Programming
• +۵ مورد دیگر

Dr. Kenneth Edwin Barker is a Professor in the Department of Computer Science within the Faculty of Science at the University of Calgary, where he also serves as Director of the Institute for Security, Privacy and Information Assurance (ISPIA). His academic career spans several decades with significant contributions to database systems and privacy research. Dr. Barker earned his B.S. and M.S. in Computer Science from the University of Calgary in 1982 and 1984 respectively, followed by a Ph.D. in Computer Science from the University of Alberta in 1990. His educational background established the foundation for his extensive research career in database systems and information security. His primary research interests focus on Privacy Preserving Data Repositories , with specific attention to protecting privacy in mobile applications, understanding privacy's impact on data analytics, and architecting database management systems that inherently respect user privacy. His work also extends to distributed database environments, integration of legacy systems, and multidatabase environments. Dr. Barker's research bridges theoretical foundations with practical applications, making significant contributions to how privacy is implemented in real-world systems. An analysis of his recent publications reveals a strong trend toward practical privacy-preserving techniques for cloud data, social networks, and location-based services. His work consistently addresses the tension between data utility and privacy protection, developing innovative methods to maintain data value while safeguarding personal information. The publications span multiple subfields including encrypted search, graph privacy, high-dimensional data privacy, and privacy metrics. Best Paper Award at DBSec 2012 Best Paper Award at CODASPY 2012 Best Paper at BNCOD 2009 Dr. Barker has been instrumental in establishing privacy research infrastructure at the University of Calgary through his leadership of ISPIA. His research has attracted significant funding from various sources supporting privacy and security initiatives. While specific grant details aren't provided in the text, his extensive publication record indicates sustained research funding throughout his career. He has collaborated extensively with researchers both within and outside the University of Calgary, particularly with R. Alhajj and other colleagues on numerous projects. As Director of ISPIA, Dr. Barker oversees a research environment focused on advancing security and privacy technologies. The institute serves as a hub for interdisciplinary research, bringing together computer scientists, social scientists, and legal experts to address complex privacy challenges. His leadership has positioned the University of Calgary as a significant player in privacy research within Canada.

• Privacy Preserving Data Repositories
• Database Management Systems
• Data Privacy and Security
• +۴ مورد دیگر

Matthew Marcus is an Assistant Professor of Practice in the Geographic Information System Technology (GIST) program at the University of Arizona. His work focuses on environmental applications of GIS, particularly in tropical ecosystems such as Amazonian palm swamps. He investigates issues like peatland degradation, deforestation, carbon emissions, and sustainable resource management through mixed-methods and remote sensing approaches. His research spans global-to-local scales, combining ecological data analysis with policy-relevant insights. Dr. Marcus's contributions include developing automated time-series mapping techniques and spatial models to quantify land use changes. His recent publications emphasize the intersection of social-ecological systems and conservation strategies in the Peruvian Amazon. He is affiliated with the ENR2 Building, collaborating on projects that bridge GIS technology with environmental monitoring and policy. While no specific grants or advising roles are listed, his academic contributions reflect a commitment to advancing applied GIS solutions for environmental challenges. His work underscores the importance of integrating technical tools with socio-environmental research to address climate change and ecosystem preservation.

• Geographic Information Systems
• Environmental Science
• Tropical Ecosystems
• +۳ مورد دیگر

Pablo Aragón is a Research Scientist at the Wikimedia Foundation and an Adjunct Professor at Universitat Pompeu Fabra. His work bridges computational social science, civic technology, and technopolitics, with a focus on Wikipedia's governance, digital democracy tools, and participatory systems. He co-founded the Democratic Innovation Lab in Barcelona and the DatAnalysis15M research network. Key research interests include analyzing knowledge integrity in Wikipedia, configuring digital participatory budgeting systems, and studying platform effects in civic technologies. He has led projects like DECODE (decentralized citizen engagement) and contributed to platforms like Decidim, which empower participatory democracy in cities like Barcelona. Recent conference engagements include KDD 2024 (data mining), ICWSM 2024 (social media analysis), and Wikimedia CEE Meeting 2024. His work emphasizes cross-cultural collaboration, with studies published in ACM Transactions on Computer-Human Interaction and peer-reviewed conferences like CIKM and ACM SIGKDD. Professional affiliations include the Decidim association, Amnistía Internacional España, and the open knowledge advocacy group Civio. His research often intersects with open science, free culture movements, and gender equity in urban mobility.

• Computational Social Science
• Social Computing
• Wikipedia Studies
• +۴ مورد دیگر

Joachim Krueger is a Professor of Cognitive and Psychological Sciences at Brown University. He holds editorial roles at the Personality and Social Psychology Review and the American Journal of Psychology . His research focuses on social judgment, decision-making, and the intersection of cognitive psychology with behavioral economics and organizational behavior. Key themes include self-perception, intergroup relations, free will belief paradoxes, and the volunteer’s dilemma. Dr. Krueger earned his Ph.D. from the University of Oregon (1988) and completed postdoctoral research at the Max Planck Institute in Berlin before joining Brown in 1991. He teaches courses on psychology in business, happiness philosophy, and behavioral decision sciences. His work critiques positivist methodologies while exploring creativity, leadership, and the replication crisis in psychological research. He is a Fellow of the Association for Psychological Science, Society for Experimental Social Psychology, and Eastern Psychological Association. His writings include books on social judgment, rationality, and happiness, alongside a Psychology Today blog. Krueger collaborates across disciplines, emphasizing pragmatic approaches to understanding human social behavior.

• Social Psychology
• Cognitive Psychology
• Game Theory
• +۵ مورد دیگر

Blake Miller is an Assistant Professor of Computational Social Science in the Department of Methodology at the London School of Economics (LSE), affiliated with the Data Science Institute. Their research focuses on computational methods applied to political communication in authoritarian regimes, particularly China, and the intersection of social media with political violence and identity politics. They hold a PhD from the University of Michigan (2018) and conducted postdoctoral research at Dartmouth College. Key substantive areas include: China's surveillance-driven security state and information control mechanisms Political mobilization through moral outrage and outgroup targeting Technological adaptations in authoritarian governance Methodological expertise spans machine learning, text analysis, and fairness in AI applications. Their book project Platforms and Power examines how authoritarian states delegate censorship to private platforms. Teaching focuses on quantitative text analysis and machine learning in political contexts. Research outputs include influential work on: Censorship patterns during China's zero-COVID protests Moral-emotional triggers for violence support Evaluation of active learning algorithms for text labeling Blake's work has been featured in The Washington Post , China File , and the CSIS Pekingology Podcast. They maintain an active presence in interdisciplinary research communities.

• Computational Social Science
• Text Analysis
• Social Media Politics
• +۷ مورد دیگر

Yolande Strengers is a Professor and ARC Future Fellow at Monash University's Faculty of Information Technology, leading the Energy Futures research program in the Emerging Technologies Research Lab. She holds roles as inaugural Associate Dean for Equity, Diversity, and Inclusion, and Associate Director (Consumers) at the Monash Energy Institute. Her work focuses on the societal impacts of digital and smart technologies, including AI and energy systems. Strengers has a PhD in Social Science (RMIT), a Master's in Urban/Environmental Management (RMIT), and a Bachelor's in Geography (Monash). Research Interests : Sustainable HCI Energy Futures Feminist Technoscience AI Ethics Smart Home Technologies Awards : 2021 Asia Pacific Eldercare Innovation Awards 2021 IoT Awards (Diversity/Inclusion) 2024 Good Design Award (Gold) Grants/Projects : Leading projects like 'Home Helper Robots: Understanding Future Lives with AI' and 'Scenarios for Future Living.' Collaborations with Ausgrid, Intel, ANZ Bank, and Energy Consumers Australia.

• Digital Sociology
• Human-Computer Interaction (HCI)
• Sustainable Technology
• +۷ مورد دیگر

Prof. Christoph Lütge holds the Peter Löscher Endowed Chair for Business Ethics at the TUM School of Social Sciences and Technology and directs the Institute of Ethics in Artificial Intelligence . He earned a PhD from TU Braunschweig (1999) and habilitation from LMU Munich (2005). Notable roles include a Heisenberg Fellowship (2007) and Distinguished Visiting Professorship at the University of Tokyo (2020–) . His research focuses on AI ethics, business ethics, and ethical challenges in autonomous systems. Education : Doctorate: TU Braunschweig (1999) Postdoctoral Qualification (Habilitation): LMU Munich (2005) Research interests span AI ethics , autonomous driving , and business ethics . He explores ethical frameworks for emerging technologies, regulatory governance, and societal impacts of AI. Recent work includes AI in healthcare, surveillance technologies, and hybrid work models. Awards : Heisenberg Fellowship (2007) Best Scientific Article Award (2020) Academic Membership at Tsinghua University (2021–) His advising and grant activities are not detailed here, but he collaborates with global institutions like AI4People and the German Ethics Commission for Automated Driving. His lab, the Institute of Ethics in AI, drives interdisciplinary research on ethical AI integration.

• Business Ethics
• AI Ethics
• Technology Ethics
• +۳ مورد دیگر

Shuvendu K. Lahiri is a researcher at Microsoft Research, focusing on formal verification, program synthesis, and software testing. His work bridges artificial intelligence with formal methods, particularly in blockchain security and automated code generation. 2025 : Published LLM-Vectorizer (verified loop vectorizer) and neural synthesis for SMT-assisted proof-oriented programming 2024 : Explored LLM-based test-driven code generation and natural precondition inference 2023 : Developed resource management specifications and contributed to test generation with pre-trained models 2022 : Advanced Solidity type systems and merge conflict resolution using language models His research combines large language models with formal verification tools to improve software correctness. He actively contributes to conferences like ICSE, PLDI, and ISSTA as author and committee member.

• Formal Verification
• Smart Contracts
• Program Synthesis
• +۵ مورد دیگر

Yu Chen is an Associate Professor in the School of Information Systems and Technology at San José State University’s Lucas College and Graduate School of Business. She holds a PhD in Computer and Communication Sciences from the Swiss Federal Institute of Technology at Lausanne (EPFL), and has held postdoctoral positions at the University of California, Irvine. Her work bridges human-computer interaction, AI, and social impact, with a strong focus on education and inclusive innovation. PhD, Computer and Communication, EPFL, Switzerland MS, Security and Mobile Computing, Aalto University, Finland MS, Security and Mobile Computing, Norwegian University of Science and Technology (NTNU), Norway BE, Information Security, Huazhong University of Science and Technology (HUST), China Her research centers on human-AI interaction , AI for social good , emerging technology education , and health informatics . She is particularly interested in how chat-based interfaces can support student success, career advising, and community problem-solving. She emphasizes design thinking, empathy, and interdisciplinary collaboration in her pedagogy. Her recent publications span AI education, chatbot design, inclusive learning, and ethical AI. A recurring theme is the use of conversational agents to empower students and address societal challenges such as food insecurity, housing, and mental health. The research demonstrates a strong commitment to experiential learning and real-world impact. Collaborative Research: Broadening Inclusive Participation in AI Undergraduate Education (NSF) Girls in AI: AI Education for K-12 Girls (SJSU RSCA) Innovation Farm: AI-Powered Social Innovation (SJSU CEP) AI Counselors and Tutors for Student Development (SJSU RSCA) Yu Chen has received numerous honors, including the SJSU College of Business Distinguished Undergraduate Teaching Award (2024), multiple Master Teacher Awards, and recognition for research excellence at AMCIS and ICIS. She was also awarded the Erasmus Mundus Scholarship and a Swiss National Science Foundation fellowship. She actively mentors undergraduate students in research, many of whom have co-authored peer-reviewed publications and won awards in student competitions. Her lab, the AI for Social Good initiative, fosters a collaborative, student-driven environment where interdisciplinary teams prototype AI solutions for community challenges. She advocates for trust in students, no-code tools, and education that is relevant, creative, and socially responsible.

• Human-AI Interaction
• AI for Social Good
• Emerging Technology Education
• +۷ مورد دیگر

Niina Zuber is a Research Coordinator at the Bavarian Institute for Digital Transformation (bidt), focusing on ethical software design, agile development processes, and the intersection of digital technologies with democratic systems. Her work emphasizes integrating ethical principles into technical systems through frameworks like EDAP (Ethical Deliberation for Agile Processes). PhD in Ethics and Software Development (LMU Munich) Former roles: Research Consultant (Cognostics AG), LMU Munich, Center for Digitalization Bavaria (ZD.B) Key projects: EDAP, ReCREATIV, AI Gender Bias Dialogue Her research spans: ethical requirements management, value-sensitive design, AI's impact on creativity, facial recognition regulation, and digital responsibility frameworks. She regularly contributes to academic publications and public discourse on digital ethics. Scientific Contributions: Co-developed EDAP framework for ethical agile software processes Investigated ethical challenges in large language models (Vox ChatGPT) Explored gender bias in AI systems Studied generative AI's impact on creative industries Contributed to regulatory discussions on facial recognition Zuber collaborates across disciplines, connecting philosophy with technical implementation through projects like EDAP and publications in journals such as Philosophy & Technology and Informatics Spectrum.

• Ethical Software Design
• Digital Ethics
• Agile Software Development
• +۶ مورد دیگر

Haoyi Xiong is an active academic researcher in artificial intelligence, machine learning, and data science, with extensive publications in top-tier journals and conferences including IEEE TPAMI, NeurIPS, ICML, KDD, and AAAI. His work spans explainable AI, graph neural networks, diffusion models, remote sensing, and large language models. Research Interests: Explainable AI (XAI) and model interpretability Graph Neural Networks and contrastive learning Diffusion models and generative AI Medical and remote sensing image analysis Large language models and autonomous agents Learning to rank and web search His recent publications (2023–2025) show a strong trend toward self-supervised learning , model robustness , and integration of LLMs with structured data and knowledge graphs . He frequently collaborates with researchers from major tech and academic institutions. Scientific Awards: No explicit awards mentioned in the provided text. Advising and Grants: While no direct mention of students or grants, his role as a senior author on numerous papers suggests he advises graduate students and likely leads funded research projects in machine learning and AI. His work on frameworks like COLTR , GS2P , and MUSCLE indicates leadership in developing scalable AI systems. Labs and Teams: Though not explicitly stated, his frequent collaboration with Jiang Bian, Dejing Dou, and Dawei Yin suggests affiliation with a well-established AI research lab or industry-academia partnership focused on data mining, intelligent systems, and large-scale learning.

• Machine Learning
• Explainable AI (XAI)
• Deep Learning
• +۸ مورد دیگر

Professor Jim Haseloff is a faculty member at the University of Cambridge, serving as Head of the Synthetic Biology for Engineering Plant Growth Group within the Department of Plant Sciences, School of Biological Sciences. His research focuses on applying engineering principles to construct new genetic systems in plants, with particular emphasis on using Marchantia polymorpha as a model system for understanding and engineering plant growth and development. Professor Haseloff's research interests span synthetic biology, genetic circuit design, plant transformation technologies, and the development of low-cost tools for biological research. His laboratory develops novel DNA tools and imaging techniques for visualizing, manipulating, and modeling genetic interactions and morphogenesis in plants. His work bridges the gap between fundamental plant biology and applied engineering approaches to reprogram plant development and physiology. The lab has established Marchantia polymorpha as a simplified model system with a streamlined genome, haploid genetics, and an open form of development ideal for quantitative analysis. Analysis of Professor Haseloff's recent publications reveals a strong focus on advancing the Marchantia model system for synthetic biology applications. His work spans genetic tool development, chloroplast engineering, plant sensing technologies, and fundamental developmental processes. Notably, his research increasingly integrates low-cost sensing technologies with traditional plant biology, reflecting his commitment to making synthetic biology more accessible worldwide. Professor Haseloff is actively involved in several major initiatives including OpenPlant (promoting open technologies for plant synthetic biology), Biomaker (funding construction of low-cost devices for biology), and the Engineering Biology IRC. He has taught undergraduate courses on Plant and Microbial Sciences (NST PMS 1B), Plant Development (NST CDB 1B), and Synthetic Biology (NST PS 2), with extensive teaching materials publicly available online. His laboratory has pioneered techniques for cell-free expression systems that are 200-400 times cheaper than commercial versions, low-cost microreactors using 3D-printed components, and innovative in vivo plant sensing devices. The group has developed extensive resources for the plant synthetic biology community, including standardized DNA parts, microscopy techniques, and educational materials for no-code programming in biology.

• Synthetic Biology
• Plant Engineering
• Genetic Circuits
• +۷ مورد دیگر