UMD Experts Available to Discuss Artificial Intelligence

Christopher Antoun: Intersection of data science and survey methodology; use of new technology and data collection methods

Bahar Asghari: Computer architecture and systems, specializing in domain-specific architectures and high-performance computing

Radu Balan: AI and data science for analyzing and combining complex signals, such as audio, images, or sensor data, to extract clear and useful information

John Baras: Systems engineering; control theory; optimization; communication networks; machine learning; artificial intelligence applications in robotics, signal processing, network security, and healthcare management systems

Abhinav Bhatele: Parallel computing; high-performance computing; scientific computing; machine learning; AI applications in computational science

Jordan Boyd-Graber: Machine learning; interpretable AI; human-AI interaction; natural language understanding

Zikui Cai: Trustworthy machine learning; AI robustness; model safety; privacy; computer vision; robotics

Giovanni Luca Ciampaglia: Algorithmic transparency; information integrity; social network dynamics; misinformation detection; computational social science

Marine Carpuat: Natural language processing (NLP); multilingual NLP; machine translation; trustworthy AI; computational linguistics

Hal Daumé III: AI for human self-efficacy; mitigating societal harms of AI; natural language processing; trustworthy AI; natural language processing; machine learning; computational linguistics

Tudor Dumitraș: Data-driven security; machine learning systems for detecting attacks and predicting security incidents; security of machine learning in adversarial environments

Ramani Duraiswami: Algorithm development; systems development and applications in spatial audio, computer vision and acoustics

Sanghamitra Dutta: Reliable machine learning; trustworthy AI; efficient algorithms; social good applications

Soheil Feizi: AI reliability; trustworthy AI; robustness, generalizability & interpretability; accuracy of AI detection tools; reasoning in AI; foundational AI systems

Tom Goldstein: Building responsible AI systems; machine learning; large-scale optimization; signal processing; computer vision; applied mathematics

Mohammad Hajiaghayi: Algorithmic game theory; combinatorial optimization; network design; distributed computing; computational geometry

Furong Huang: Trustworthy machine learning; interpretable and reliable AI; AI for sequential decision-making; high-dimensional statistics; generative models; reinforcement learning for robotics

Mohit Iyyer: Natural language processing (NLP); deep learning; machine learning; multimodal models; large language models (LLMs)

Ang Li: Wireless communications; machine learning; AI hardware acceleration; signal processing; mobile systems

Lizhen Lin: Bayesian statistics; deep learning theory; geometric deep learning; statistical theory

Zhicheng Liu: Human-centered AI; data visualization; visual analytics; human-computer interaction; machine learning interpretability

Christopher Metzler: Computational imaging; signal processing; machine learning; wireless communications

Michael Otte: Robotic path planning; distributed multi-agent systems; artificial intelligence algorithms; distributed systems; graph theory; machine learning

Louiqa Raschid: Challenges of data management, data integration and performance for applications in life sciences, web data delivery, health information, financial information systems, humanitarian IT applications and grid computing

Aravind Srinivasan: Machine learning theory; interpretability & fairness in AI; algorithms; probabilistic & randomized methods; data science; network science; applications in health, e-commerce, cloud computing, internet advertising

Tracy Sweet: Data science; bias in machine learning; social network analysis; network interference; statistical modeling

Uzi Vishkin: Parallel computing; parallel algorithms; theoretical computer science

Haizhao Yang: Symbolic machine learning for interpretable AI; foundations of deep learning; machine learning–based scientific problem solving

Kaiqing Zhang: Systems and control; game theory; reinforcement learning; multi-agent systems

Tianyi Zhou: Machine learning; natural language processing; optimization; AI and robotics

John Beieler: Applied research in AI, quantum computing, human-machine teaming and social and behavioral sciences for national security; scientific advancements in intelligence; human language technology; machine learning; vulnerabilities in AI; machine learning research; development, deployment and scaling of large machine learning systems

Susan G. Campbell: Cognitive skills for cybersecurity; effective human-technology interaction; visual cognition and assessment; cognitive psychology; technology usability

Rama Chellapa: Computer vision; signal and image processing; pattern recognition; AI in biometrics; robust and secure biometrics; statistical inference; multi-dimensional stochastic processes

Tudor Dumitraș: Data-driven security; machine learning systems for detecting attacks and predicting security incidents; security of machine learning in adversarial environments

Nancy Gallagher: Responsible use of AI in the military domain; international security; arms control and nonproliferation; nuclear policy; cybersecurity; space security

Charles Harry: Governance of emerging technologies including AI; international security; cybersecurity; data science; complexity theory; intelligence

Jonathan Katz: Cryptography and computer security; foundational cryptographic methods; theoretical security protocols

Ian Miers: Privacy-preserving cryptography; secure payments; smart contracts; blockchain security; applied security and privacy solutions

Michelle Mazurek: Human-centered computer security; security behavior research; end-user security adoption; end-to-end encryption usability

James Purtilo: Software engineering, focusing on software architecture and design; cybersecurity and robust systems

Nirupam Roy: Deepfake detection and prevention; spatial sensing for robots and drones; AI for situational awareness; cybersecurity; AI-enabled robotics

Alan Zaoxing Liu: Computer systems; networking; cybersecurity; data analytics; approximate computing

Yiannis Aloimonos: Real-time perceptual systems; vision-guided navigation and manipulation; animal-inspired robotic vision; computer vision; space-time representation

Calin Belta: Robotics; formal methods; motion planning; autonomous systems; swarm robotics; human-robot collaboration; synthetic biology

Cornelia Fermüller: Computer vision; robotics; biologically inspired active vision; human-robot collaboration; motion processing for drones and robots

Ming Lin: Robotics; computer vision; machine learning; virtual reality; augmented reality; physics-based simulation

Dinesh Manocha: Computer graphics; geometric modeling; motion planning; virtual reality; robotics; machine learning

Mohammad Nayeem Teli: Vaccine design with protein language models; assistive technology for the visually impaired; navigating robot interactions; large language models; computer vision and perception

Michael Otte: Robotic path planning; distributed multi-agent systems; artificial intelligence algorithms; distributed systems; graph theory; machine learning

Huaishu Peng: Wearable and interactive technologies; assistive devices; Internet of Things (IoT); human-computer interaction; sensor design

Abhinav Shrivastava: Computer vision; machine perception; AI and robotics; machine learning; VR/AR

Pratap Tokekar: AI and robotics for environmental sensing; autonomous drones and robot teams; agricultural and civil engineering applications; robotics for accessibility

Nirupam Roy: Deepfake detection and prevention; spatial sensing for robots and drones; AI for situational awareness; cybersecurity; AI-enabled robotics

Mumu Xu: Multi-agent autonomous systems; machine learning-informed planning tactics for robotics and autonomy; aerospace engineering

Yaser Yacoob: Facial expression detection and tracking; lip reading; human activity recognition; augmented reality; interactive robots; motion and image segmentation

Miao Yu: AI and sensing, robotics and computer vision; developing intelligent systems for challenging environments; autonomous underwater and under-ice vehicles; deep learning for environmental modeling and aquaculture

Tianyi Zhou: Machine learning; natural language processing; optimization; AI and robotics

Yiannis Aloimonos: Real-time perceptual systems; vision-guided navigation and manipulation; animal-inspired robotic vision; computer vision; space-time representation

Ramani Duraiswami: Algorithm development; systems development and applications in spatial audio, computer vision and acoustics

Roger Eastman: Computer vision; image registration; pattern recognition

Cornelia Fermüller: Computer vision; robotics; biologically inspired active vision; human-robot collaboration; motion processing for drones and robots

Ruohan Gao: Computer vision; machine perception; multisensory AI; robotics; machine learning; data science

Jia-Bin Huang: Computer vision; computer graphics; machine learning

David Jacobs: Computer vision; machine learning; object recognition; image clustering; structure-from-motion; human-computer interaction

Dinesh Manocha: Computer graphics; geometric modeling; motion planning; virtual reality; robotics; machine learning

Christopher Metzler: Computational imaging; signal processing; machine learning; wireless communications

David Mount: Computational geometry; applications in image processing, pattern recognition, information retrieval and computer graphics

Mohammad Nayeem Teli: Vaccine design with protein language models; assistive technology for the visually impaired; navigating robot interactions; large language models; computer vision and perception

Miao Yu: AI and sensing, robotics and computer vision; developing intelligent systems for challenging environments; autonomous underwater and under-ice vehicles; deep learning for environmental modeling and aquaculture

Neda Atanasoski: Feminism and AI; feminist and critical race approaches to science & technology; AI and the future of work & human rights

Holly Brewer: Why AI needs humans and humanists; early American history; history of modern justice and slavery

Ilaria Canavotto: Intersection between AI, law and machine ethics

Fabrizio Cariani: Philosophy of language; epistemology; logic; AI ethics; formal social epistemology

Giovanni Luca Ciampaglia: Algorithmic transparency; information integrity; social network dynamics; misinformation detection; computational social science

Hal Daumé III: AI for human self-efficacy; mitigating societal harms of AI; natural language processing; trustworthy AI; natural language processing; machine learning; computational linguistics

Sanghamitra Dutta: Reliable machine learning; trustworthy AI; efficient algorithms; social good applications

John Dickerson: Ethical AI systems; fairness in AI; practical AI applications in societal contexts; machine learning and economics; market design; optimization

Sheena Erete: Community-based technology design; equity in AI and machine learning tools; technology for civic engagement, health, education and violence

Jen Golbeck: AI, social media, privacy and trust on the web; algorithmic transparency and ethics; social computing; data privacy; data journalism

Vaishnav Kameswaran: AI & accessibility; human-computer interaction; algorithmic fairness; accessibility in algorithmic decision-making

Jessica Lee Mathiason: Cultural studies; disability studies; feminist science studies; history of medicine & technology; LGBTQ studies; media studies; medical humanities; social justice

Minoo Modaresnezhad: Human-AI interaction (HAI); collaborative learning in HAI teams; participatory AI; ethical dimensions of AI; individual behavior and cognition within information systems; crowdsourcing-based systems; social networking systems; individual security and privacy

Hawra Rabaan: Equity-centered design; human-computer interaction (HCI); technology for asocial good; cultural and gender-based inequities

Katie Shilton: Trustworthy AI; human-in-the-loop content moderation; experiential data ethics education; big data research ethics

Jessica Vitak: Privacy and ethical implications of technology; informed decision-making tools for technology use and sensitive data sharing

Fumeng Yang: Data and AI literacy; human-AI interaction; information visualization; election forecast visualizations; applications in politics, public policy and K-12 education

Jennifer Bachner: Data analytics for evidence-based policymaking; government responsiveness; public opinion modeling

David Backer: How AI forecasting can enhance prevention and response to food security and nutrition crises; evolution of global humanitarian response architecture

Gustavo Flores-Macías: AI in relation to crime, policing and militarization of public safety

Nancy Gallagher: Responsible use of AI in the military domain; international security; arms control and nonproliferation; nuclear policy; cybersecurity; space security

Eaman Jahani: How social networks and online platforms affect outcomes and lead to unequal distribution of resources; digital twins to assist policymakers in designing interventions for community challenges

Zubin Jelveh: Data science for public policy; prediction models for domestic and gun violence; record linkage for criminal justice administrative data; data-driven reduction in violence and harms associated with the criminal justice system; the science of science; connecting techniques from machine learning to problems in the social sciences

Doug Lombardi: AI-driven tools to deepen scientific and civic reasoning in K-12 education; scientific thinking, reasoning and testing in classroom contexts; critical thinking and collective agency in response to science denial and disinformation

Fumeng Yang: Data and AI literacy; human-AI interaction; information visualization; election forecast visualizations; applications in politics, public policy and K-12 education

Cody Buntain: How people use online information systems during moments of uncertainty, crisis, conflict and political or social unrest; climate misinformation and disinformation; how AI alters the information environment; AI-driven tools for emergency response

Giovanni Luca Ciampaglia: Algorithmic transparency; information integrity; social network dynamics; misinformation detection; computational social science

Jen Golbeck: AI, social media, privacy, and trust on the web; algorithmic transparency and ethics; social computing; data privacy; data journalism

Naeemul Hassan: Computational journalism; data mining; social media analysis; natural language processing (NLP); machine learning

Doug Lombardi: AI-driven tools to deepen scientific and civic reasoning in K-12 education; scientific thinking, reasoning and testing in classroom contexts; critical thinking and collective agency in response to science denial and disinformation

Julia Mendelsohn: Computational social science; political behavior; language and politics; data science

Sean Mussenden: Innovative, AI-powered software tools to help reporters find and make sense of information; data-driven investigative reporting that drives change

Jui Ramaprasad: Interactions on online platforms and their impact; impact of platform features and social influence on users; interplay between online incivility and engagement

Nirupam Roy: Deepfake detection and prevention; spatial sensing for robots and drones; AI for situational awareness; cybersecurity; AI-enabled robotics

Daniel Trielli: Algorithmic curation impact on journalism; misinformation and disinformation; computational journalism; media literacy and algorithmic accountability

Derek Willis: Data journalism education; innovative storytelling with data; journalism training; investigative reporting

Evan Golub: Human-computer interaction; user experience design; digital media; creative coding; curriculum development

Hernisa Kacorri: Human-centered AI; accessibility technology; teachable machines; empowering users as active directors of AI; assistive technology; AI interaction design

Vaishnav Kameswaran: AI & accessibility; human-computer interaction; algorithmic fairness; accessibility in algorithmic decision-making

Huaishu Peng: Wearable and interactive technologies; assistive devices; Internet of Things (IoT); human-computer interaction; sensor design

Galina Reitz: AI-driven agents to support people with Parkinson’s disease; accessible interface design for individuals with disabilities; voice-based technologies; accessible health technologies; patient-centered design; inclusive methods

Mohammad Nayeem Teli: Vaccine design with protein language models; assistive technology for the visually impaired; navigating robot interactions; large language models; computer vision and perception

Marine Carpuat: Natural language processing (NLP); multilingual NLP; machine translation; trustworthy AI; computational linguistics

Hal Daumé III: AI for human self-efficacy; mitigating societal harms of AI; natural language processing; trustworthy AI; natural language processing; machine learning; computational linguistics

Naomi Feldman: Machine learning to understand language acquisition and structure; strategies for language learning and speech-language pathology; computational linguistics; education technology

Philip Resnik: Computational linguistics; computational modeling

Julie Yelle: Computational linguistics; natural language processing; language variation

Neda Atanasoski: Feminism and AI; feminist and critical race approaches to science & technology; AI and the future of work & human rights

Holly Brewer: Why AI needs humans and humanists; early American history; history of modern justice and slavery

Matthew Kirschenbaum: Digital humanities; AI in communication; media history; writing technologies; digital literary heritage

Jessica Lee Mathiason: Cultural studies; disability studies; feminist science studies; history of medicine & technology; LGBTQ studies; media studies; medical humanities; social justice

Jeffrey Moro: Environmental and atmospheric data; media theory and history; vintage and obsolete computing; software preservation; experimental modes of writing and storytelling

Lillian-Yvonne Bertram: Computational poetry; AI and digital technologies in creative writing; intersections of race, gender and identity with technology; experimental literary forms combining data and AI-generated content

Lins Derry: Interaction design; performance art; experimental arts; technology and design integration

Cy Keener: Environmental art; data visualization; climate change; interdisciplinary collaboration; sensor-based installations

Ashok Agrawala: Smart environments and sensors; real-time systems design; wearables; health informatics; location determination

Elizabeth Aparicio: Chatbots to provide health information; health bots for new parents

David Backer: How AI forecasting can enhance prevention and response to food security and nutrition crises; evolution of global humanitarian response architecture

Margrét Bjarnadóttir: Large-scale data decision-making; algorithmic analysis of workplace gender disparity; AI applications in healthcare, finance, and sports analytics

Fardina Alam: AI for protein structure prediction; machine learning in drug discovery; responsible AI; AI applications in education

Behtash Babadi: Machine learning for neural data analysis, biosensing and health data; computational neuroscience; ​​neuromorphic adaptive systems; neural signal processing

Balakumar Balachandran: Nonlinear dynamics and control; system identification; mathematical modeling of disease dynamics; space-based climate solutions; vibrations and structural health

Hassanatu Blake: Health equity; digital health innovation; global health education; social determinants of health; health systems and program management

Daniel Butts: AI modeling in neuroscience; computational neurobiology; sensory processing; neural coding; brain function modeling

Jie Chen: Health policy; aging research; public health management; AI applications in health systems

Can Firtina: Bioinformatics; computational genomics; real-time genome analysis; AI applications in genome editing and disease modeling

Rodolphe Gentili: Cognitive-motor neuroscience; brain-computer interfaces; human-machine interaction; rehabilitation robotics; computational modeling

Reza Ghodssi: AI-enabled biodevices; chemical and biological sensing; energy harvesting for healthcare applications

Mika Hamer: Healthcare research; healthcare policy and public health ethics; effects of healthcare coverage, benefit design and reimbursement on healthcare access and utilization

Xiaoming (Shawn) He: Innovative solutions for early disease detection and treatment; AI-enhanced multiscale biomaterials and devices; engineering and delivery of small molecules, genes, proteins, cells, tissues and organs; 3D biomimetic systems with bioinspired complexity

Heng Huang: Machine learning; data mining; big data computing; natural language processing; bioinformatics; neuroinformatics; precision medicine; health informatics; computer vision; medical image analysis

Joseph JaJa: High-performance computing; machine learning with neuroscience applications; data science; bias and inaccuracy in AI models for breast cancer detection

Jay Lee: Industrial AI; smart manufacturing; prognostics and health management; digital twins; AI-augmented ICU and medical analytics

Menglu Liang: Biostatistics; cardiovascular disease detection; Bayesian network meta-analysis; dynamic prediction in survival analysis

Huang Lin: Biostatistics; machine learning; deep learning; microbiome studies; metabolomics; causal inference

Tianzhou (Charles) Ma: Biostatistics; machine learning; Bayesian analysis; high-dimensional data integration; genetics and bioinformatics

Erin Molloy: Evolutionary genomics; AI-driven data analysis for medicine, public health, and agriculture; evolutionary biology; genomic data interpretation

John Moult: Computational biology; protein folding; artificial intelligence in biology

Mohammad Nayeem Teli: Vaccine design with protein language models; assistive technology for the visually impaired; navigating robot interactions; large language models; computer vision and perception

Rob Patro: AI-driven algorithms for genomic data analysis; bioinformatics for drug discovery and disease diagnosis

Mihai Pop: Machine learning for genome assembly and analysis; metagenomics; understanding human pathogens; computational biology; microbial genomics

Adam Porter: Software engineering, AI systems, human–AI collaboration, health computing, software reliability

Jeremy Rubin: Machine learning techniques to predict kidney function outcomes from renal biopsy scans

S. Cenk Sahinalp: Biomolecular sequence analysis; AI approaches to cancer genomics; computational biology

Tobias Stillman: Health, nutrition, food security and food systems in fragile and humanitarian settings

Paula Strassle: Epidemiology; health disparities; data linkage; high-dimensional health data; racial and ethnic minority populations; rural populations

Yang Tao: Bioimaging; machine vision; AI-driven robotics; bioengineering; food engineering; biomedical and biopharmaceutical fields; smart manufacturing

Mei-Ling Ting Lee: Biostatistics; time-to-event modeling; machine learning neural networks; machine learning applications in biostatistics

Praytush Tiwary: Computational modeling of complex systems; AI for pharmaceutical and chemical sciences; machine learning for materials science

Yiqun Xie: Geospatial information science; artificial intelligence, machine learning and deep learning for spatial data; GeoAI; data mining and data science; applications in smart cities, transportation, agriculture and public health

Yiwei Xu: Human-centered AI; health informatics; social data science; information behaviors; health equity

Ashok Agrawala: Smart environments and sensors; real-time systems design; wearables; health informatics; location determination

Bilal Ayyub: Autonomous systems and control; big data analytics; infrastructure risk and reliability; climate adaptation; global catastrophic risk; civilian and defense infrastructure resilience; offset technology prediction

Vanessa Frías Martínez: Urban computing; data mining; modeling human mobility and the built environment; how machine learning models can aid decision makers in poverty, natural disasters or smart cities

Chester Harvey: Urban data science; use of innovative technologies to provide early warnings of risks to community development and resilience; transportation systems; pedestrian behavior; urban design; land use analysis

Andressa Martinez: Architecture; urbanism; digital fabrication; design computation; architectural education

Austin Raimond: AI in the architectural design profession

Pratap Tokekar: AI and robotics for environmental sensing; autonomous drones and robot teams; agricultural and civil engineering applications; robotics for accessibility

Yiqun Xie: Geospatial information science; artificial intelligence, machine learning and deep learning for spatial data; GeoAI; data mining and data science; applications in smart cities, transportation, agriculture and public health

Ashok Agrawala: Smart environments and sensors; real-time systems design; wearables; health informatics; location determination

Bilal Ayyub: Autonomous systems and control; big data analytics; infrastructure risk and reliability; climate adaptation; global catastrophic risk; civilian and defense infrastructure resilience; offset technology prediction

Vanessa Frías Martínez: Urban computing; data mining; modeling human mobility and the built environment; how machine learning models can aid decision makers in poverty, natural disasters or smart cities

Chester Harvey: Urban data science; use of innovative technologies to provide early warnings of risks to community development and resilience; transportation systems; pedestrian behavior; urban design; land use analysis

Andressa Martinez: Architecture; urbanism; digital fabrication; design computation; architectural education

Austin Raimond: AI in the architectural design profession

Pratap Tokekar: AI and robotics for environmental sensing; autonomous drones and robot teams; agricultural and civil engineering applications; robotics for accessibility

Yiqun Xie: Geospatial information science; artificial intelligence, machine learning and deep learning for spatial data; GeoAI; data mining and data science; applications in smart cities, transportation, agriculture and public health

Wei Ai: AI to identify and promote effective K-12 teaching practices; role of social identity and non-verbal cues in virtual collaboration

Naomi Feldman: Machine learning to understand language acquisition and structure; strategies for language learning and speech-language pathology; computational linguistics; education technology

Hong Jiao: Psychometrics; machine learning in educational assessment; item response theory; computer-based testing; large-scale testing analysis

Fengfeng Ke: Human-AI collaboration; personalized learning systems; mixed-reality learning environments; neurodiversity education; adaptive learning technologies

Jing Liu: Computational social science; AI applications for improving K-12 teaching and learning; education research; learning analytics

Doug Lombardi: AI-driven tools to deepen scientific and civic reasoning in K-12 education; scientific thinking, reasoning and testing in classroom contexts; critical thinking and collective agency in response to science denial and disinformation

Irina Muresanu: AI and virtual reality in music education; digital humanities; violin and strings performance; arts and technology integration

Ji Seung Yang: Designing and improving tests and surveys; creating tools to measure knowledge, skills, and attitudes; developing methods to ensure results are accurate, reliable, and work across different groups.

David Weintrop: Design and evaluation of equitable computational learning experiences; computational education research

Malarvizhi Arulaj: Applied machine learning and statistical methods to weather and climate-related problems; precipitation remote sensing; satellite meteorology; hydrology

Bilal Ayyub: Autonomous systems and control; big data analytics; infrastructure risk and reliability; climate adaptation; global catastrophic risk; civilian and defense infrastructure resilience; offset technology prediction

Maria Cameron: Algorithms for natural-world problems; quantification of rare events; applications in geophysics, chemical physics and materials science; mathematical modeling; complex systems analysis

Kamal Chowdhury: Water and energy systems modeling; climate change impact assessment; sustainable infrastructure planning; AI in environmental systems

Evan Economo: Biodiversity informatics; evolutionary ecology; computational biology; insect biodiversity

Andrés Hernández-Serna: Remote sensing; deep learning; ecological monitoring; biodiversity assessment; land cover change analysis

Cy Keener: Environmental art; data visualization; climate change; interdisciplinary collaboration; sensor-based installations

Hemendra Kumar: Precision agriculture; AI in agriculture; climate-smart water management; agro-hydrological modeling; data-driven methodologies

Maria Molina: Use of machine learning to answer pressing questions about climate and weather extremes; extending Earth system prediction; understanding extremes and multi-scale patterns in the climate system

Jeffrey Moro: Environmental and atmospheric data; media theory and history; vintage and obsolete computing; software preservation; experimental modes of writing and storytelling

Catherine Nakalembe: Machine learning and satellite remote sensing for agriculture and food security; land use mapping; humanitarian mapping; climate change applications

Pratap Tokekar: AI and robotics for environmental sensing; autonomous drones and robot teams; agricultural and civil engineering applications; robotics for accessibility

Yiqun Xie: Geospatial information science; artificial intelligence, machine learning and deep learning for spatial data; GeoAI; data mining and data science; applications in smart cities, transportation, agriculture and public health

Miao Yu: AI and sensing, robotics and computer vision; developing intelligent systems for challenging environments; autonomous underwater and under-ice vehicles; deep learning for environmental modeling and aquaculture

Vikrant Aute: Simulation, design, and optimization of thermal systems; life cycle impact assessment; HVAC&R applications

Yifei Mo: Computational engineering; AI-driven materials discovery; design of energy storage and conversion materials; materials science; sustainable technology

Po-Yen Chen: AI in materials science; soft robotics; nanomaterials assembly; interpretable machine learning; autonomous systems

John Martin: Astrodynamics; scientific machine learning; reinforcement learning; dynamical systems

Michael Pecht: Electronics reliability; safety and sustainability engineering; prognostics and health management (PHM) using machine learning; AI applications in engineering systems health and maintenance

Yang Tao: Bioimaging; machine vision; AI-driven robotics; bioengineering; food engineering; biomedical and biopharmaceutical fields; smart manufacturing

Mumu Xu: Multi-agent autonomous systems; machine learning-informed planning tactics for robotics and autonomy; aerospace engineering

Hong-Zhou Ye: Machine learning-enhanced quantum chemistry tools; computational chemistry; materials discovery

Victor Albert: Theoretical quantum mechanics; AI applications in scientific problem-solving; large language models assisting scientific workflows including quantum computing

Andrew Childs: Quantum information processing; quantum algorithms; quantum simulation; quantum query complexity; quantum walks

Xiaodi Wu: Practical and deployable quantum applications; efficient and reliable systems to operate near- and long-term quantum devices; feedback control on quantum devices; quantum system engineering

Hong-Zhou Ye: Machine learning-enhanced quantum chemistry tools; computational chemistry; materials discovery

Justyna Zwolak: Machine learning algorithms and artificial intelligence in quantum computing; identification of stable electron spin configurations; modeling quantum dot devices; training recognition networks; auto-tuning experimental setups