Researchers

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Name Primary School Department, Center, or Institute
Foundational ML/AI
Human-Machine Teaming
Robotics
Formal Methods
Safety
AI-Based Control Systems
Machine Vision
Explainability
Navigation and Planning
Security/Privacy
Applications
Testing/Verification
Fairness and Bias
Ethics/Policy/Governance
Other
Shelby AndersonApplied Physics LaboratoryResearch and Exploratory Development Department (REDD)••          ••+
Natural Language Processing, Humanitarian Assistance and Disaster Relief (HA/DR), Social Vulnerability, Healthcare, Healthcare Equity
Chace AshcraftApplied Physics LaboratoryREDD•  • ••   •    
Margaret "Maggie" BeecherApplied Physics LaboratoryFPS/KAC•••••   • ••• +
Human System Engineering (HSE), Human Factors Engineering (HFE), Human-Systems Integration (HSI), manned-unmanned teaming (Mum-T), spatial audio, research, analysis, engineering, testing, training; artificial intelligence, expert systems, CONOPS, requirements specifications
Muyinatu BellWhiting School of EngineeringElectrical and Computer Engineering ••  •••• • •  
James BellinghamWhiting School of EngineeringInstitute for Assured Autonomy ••       ••  +
Fault detection and recovery
Anna BuczakApplied Physics Laboratory       •  • •  
Caglar CaglayanApplied Physics LaboratoryAsymmetrical Operations Sector, Health & Human-Machine Systems••            +
Optimization Mathematical Modeling & Simulation
Yinzhi CaoWhiting School of EngineeringComputer Science    •    •  •  
Brint CooperWhiting School of EngineeringECE    •   • •    
Anton DahburaWhiting School of EngineeringComputer Science   •     ••   +
Fault-Tolerance
Michael DinitzWhiting School of EngineeringComputer Science•  •        • +
fault-tolerance
Mark DredzeWhiting School of EngineeringComputer Science•      •  • •  
Ashutosh DuttaWhiting School of EngineeringComputer Science•  •     ••   +
5G, Next G, Mobility, Networking
Mahyar FazlyabWhiting School of EngineeringElectrical and Computer Engineering and MINDS• ••••   • •   
John GershApplied Physics LaboratoryResearch and Exploratory Development •     •       
Lingxin HaoKrieger School of Arts and SciencesDepartment of Sociology; Hopkins Population Center •             
Amy HauflerApplied Physics LaboratoryAir and Missile Defense Sector, A3J Human Machine Engineering Research and Enabling Technologies •         • • 
David HelmerApplied Physics LaboratoryHuman Machine Engineering •            +
Mechanical engineer by training with experience exploring applications of various forms of AI for the DoD and other sponsors. Experience as both a technical contributor and a program manager.
Adam HouserApplied Physics Laboratory • •   •       
Chien-Ming HuangWhiting School of EngineeringComputer Science ••       •    
Tak IgusaWhiting School of EngineeringCivil and Systems Engineering    •       ••+
Mathematical modeling and simulation
Noah JacobsenApplied Physics LaboratoryForce Projection Sector••• ••••     • 
Fatih KaratayApplied Physics LaboratoryAir and Missile Defense Sector, A3E Cross-Domain Battle Management•             +
Software Architecture, Development/Engineering
Efsun KayiApplied Physics LaboratoryREDD••        •  • 
Daniel KhashabiWhiting School of EngineeringComputer Science••     •    •  
Anqi LiuWhiting School of EngineeringDepartment of Computer Science•   •• •    •  
Nicolas LoizouWhiting School of EngineeringApplied Mathematics and Statistics•              
Achyuth MadabhushiApplied Physics LaboratoryFPS/KBE - Software Engineering and Data Transformation•  ••  ••••••• 
Enrique MalladaWhiting School of EngineeringElectrical and Computer Engineering•  •••  •  •   
Amber MillsApplied Physics LaboratoryInstitute for Assured Autonomy •         •   
Helene Nguewou-HyousseApplied Physics LaboratoryFPS  •       •    
Richard ObisoApplied Physics LaboratoryQLB, Physical and Life Systems Sciences              +
Project Management, Risk Mitigation & Safety, biological threat research, microbiology, biotechnology, Product Development (IVD), in vitro diagnostics, Clinical & Scientific Methods, Leadership, Mentoring Research, genomics, Fermentation, bio surveillance
Vishal PatelWhiting School of EngineeringElectrical and Computer Engineering••    •• •• •  
Taylor ReiningerApplied Physics LaboratoryAir and Missile Defense     •    •   +
Reinforcement Learning
Chrisopher RouffApplied Physics LaboratoryAsymmetric Operations Sector •••     • • • 
Josef SchaffApplied Physics LaboratoryAMDS••• •••  •   • 
David SilberbergApplied Physics Laboratory•       •      
Josh SilbermannApplied Physics LaboratoryAOS / QNI•  ••  •• ••  +
Aviation, critical infrastructure,
Tamim SookoorApplied Physics LaboratoryAsymmetric Operations Sector    ••   ••   +
Cyber Physical Systems, Internet of Things, Smart Cities, Critical Infrastructure, Industrial Control Systems
James SpallApplied Physics Laboratory•    •     •  +
Stochastic systems Parameter estimation Stochastic optimization Monte Carlo methods and simulation Control systems System identification and Kalman filtering Optimization theory Uncertainty calculation
Tim SpiridonovApplied Physics LaboratoryAir Missile Defense Sector•    ••••  •   
Russell TaylorWhiting School of EngineeringComputer Science / Laboratory for Computational Sensing and Robotics •      • ••  +
Computer-Integrated Interventional Medicine
Collin TimmApplied Physics Laboratory              +
plant biology, microbiology, agriculture
Mathias UnberathWhiting School of EngineeringComputer Science ••   ••  • •  
Rene VidalWhiting School of EngineeringMathematical Institute for Data Science, Department of Biomedical Engineering•    •••       
Kerstin VignardApplied Physics LaboratoryNSAD    •    •   •+
United Nations, UN, international negotiations, international security, international stability, policymaking, governance, emerging technologies, multi-stakeholder, ELSI, ELSA, ethics, international law, norms, normative framework, AI, artificial intelligence, AI safety, digital technologies
John WinderApplied Physics LaboratoryForce Projection Sector••• ••••• •   +
Reinforcement learning, deep reinforcement learning, multi-agent reinforcement learning, world models, model-based reinforcement learning, transformers, attention, graph neural networks, foundation models, large language models
Alhassan YasinApplied Physics LaboratoryFPS••••••••••••••+
Hybrid Systems, Continues Learning Models, Physics Informed AI
Sebastian ZanlongoApplied Physics LaboratoryCritical Infrastructure  • •   •   •  
Janet ZhangApplied Physics LaboratoryFPS• • • ••  ••  +
Make machine learning systems safe. Safe reinforcement learning. Worked in the industry of machine learning, computer vision for 15+ years.