Are you a journalist looking for expert insights on Artificial Intelligence (AI)? Experts from the University of Maryland are available to discuss how AI is shaping daily life and what to expect in the near future.
Please contact mediainfo@umd.edu for more information or help setting up an interview.
Foundations & Core Technologies
- Soheil Feizi - Building trustworthy and reliable AI systems by improving robustness, interpretability, and generalizability, while also evaluating the accuracy of AI detection tools and reasoning mechanisms in foundational models.
- Hal Daume - Focusing on the intersection of natural language processing and machine learning, with an emphasis on making AI systems more trustworthy, socially beneficial and empowering for human users.
- Susan G. Campbell - Applying cognitive psychology to cybersecurity and human-technology interaction, understanding visual cognition, usability, and assessing how people understand and interact with technology.
- Nirupam Roy - Specializing in deepfake detection, spatial sensing, and AI-driven situational awareness, developing secure and intelligent systems for robotics, drones, and cybersecurity applications.
Society, Ethics & Governance
- Jen Golbeck - Exploring the ethics and transparency of algorithms, with a focus on cybersecurity, privacy, trust, and the impact of AI and social media.
- Daniel Trielli - Investigating the influence of algorithmic curation on journalism and public discourse, emphasizing misinformation and disinformation, media literacy, and computational accountability.
- Sheena Erete - Designing equitable, community-based technologies to address systemic issues in civic engagement, education, health, and violence prevention, particularly within marginalized communities.
- Katie Shilton - Focusing on ethical frameworks for AI and big data, including content moderation and teaching experiential data ethics through human-centered approaches.
Human Interaction & Communication
- Neda Atanasoski - Examining AI through feminist and critical race lenses, exploring how emerging technologies impact labor, rights and social equity.
- Cy Keener - Creating sensor-based, data-driven art installations that visualize environmental data, fostering interdisciplinary collaboration on climate change.
- Holly Brewer - Advocating for integrating humanities into AI development, drawing from history (particularly slavery and justice systems) to understand human-centered ethical boundaries for technology.
- Elizabeth Aparicio - Developing chatbot-based health tools that deliver accessible, user-centered information, additionally supporting new and expecting parents.
- Cody Buntain - Studying how people engage with online systems during crises, analyzing AI's role in shaping information environments, especially in the context of misinformation, disinformation and emergency response.
Industry & Infrastructure
- Chester Harvey - Applying urban data science to assess transportation and land use, leveraging AI to build resilient, community-focused infrastructure and improve early warning systems.
- Jie Zhang - Using AI to analyze consumer behavior and optimize retail strategies, helping businesses make data-driven decisions.
- Fengfeng Ke - Designing human-AI collaborative systems for personalized and inclusive education, including adaptive technologies for neurodiverse learners and immersive learning environments.
Science & Engineering
- Catherine Nakalembe - Combining machine learning and satellite remote sensing to address food security, land use and climate resilience, particularly in agricultural and humanitarian contexts.
- Andrés Hernández-Serna - Utilizing deep learning and remote sensing to monitor ecosystems, assess biodiversity and analyze land cover changes for environmental sustainability.
- Victor Albert - Integrating AI and theoretical quantum mechanics to enhance scientific research workflows, including the use of large language models for quantum computing and problem-solving.