Contact Information: 

Email: grabom@rpi.edu; marthagrabowski@gmail.com
LinkedIn: https://www.linkedin.com/in/martha-grabowski-39966912/
Twitter/X: @GrabowskiMIS201

Education: 

Ph.D. (Rensselaer Polytechnic Institute)
M.S., Industrial & Management Engineering (Rensselaer Polytechnic Institute)
M.B.A. (Rensselaer Polytechnic Institute)
B.S. (US Merchant Marine Academy, Kings Point, NY)

Roles: 

• Member of the National Academy of Engineering 
• Distinguished Research Scientist, Department of Industrial & Systems Engineering, Rensselaer Polytechnic Institute
• Distinguished McDevitt Chair in Information Systems, Emerita, Le Moyne College
• Past Chair, Board Member, National Academies/National Research Council's Transportation Research Board/Marine Board
• Executive Counselor, U.S. Department of Homeland Security, Center of Excellence for Arctic Homeland Security, Arctic Domain Awareness Center (ADAC), University of Alaska Anchorage
• Academic Advisory Board, U.S. Department of Transportation, Maritime Administration, U.S. Merchant Marine Academy, Kings Point, NY 
• City of Syracuse, NY, Surveillance Technology Working Group
• FAA Part 107 Remote Pilot (Uncrewed Aerial Systems) 

Research Interests: 

1. Advanced technology impacts– artificial intelligence, multimodal wearable augmented reality, autonomous and uncrewed aerial systems (UAS) -- on operator, system and team performance, communication, situation awareness and mobility in safety-critical systems;
2. Communications, infrastructure, logistics, search and rescue, and emergency response systems in healthcare, supply chains, manufacturing and in the Arctic;
3. Advanced data analytics, artificial intelligence and visualizations of large-scale data sets to assess safety and environmental security; and
4. The role of human factors and organizational error in high consequence settings.

Current Research: 

1. Human-Machine Teaming for Mobile Miniaturized Aviation Logistics Systems (Uncrewed Aerial Systems - UAS) in Safety-Critical Systems (2022 - 2027), U.S. Department of Homeland Security, Arctic Domain Awareness Center (ADAC) - Arctic, Anchorage, Alaska
2. AI Self-Healing Databases for Arctic Oil Spill Response Planning and Management (2024-2025)
3. Machine Learning Environmental Risk Indices for U.S. Coast Guard Arctic Vessel Tank Inspection (2024-2025
4. Port of Nome Dual Use Arctic Infrastructure Assessment (2024-2025)
5. U.S. Department of Homeland Security, Arctic Domain Awareness Center (ADAC) - Arctic, Anchorage, Alaska
6. Grabowski, M.R., Martelli, P. & Roberts, K.H. 2023. Reliability-Seeking Virtual Organizations at the Margins of Systems, Capacity & Resources. Safety Science. 168, 106327.
7. Rowen, A., Grabowski, M. & Russell, D.W. 2022. The Impact of Work Demands and Operational Tempo on Safety Culture, Motivation and Perceived Performance in Safety-Critical Systems. Safety Science, 155, November.
8. Merrick, J., Dorsey, C., Wang, B., Grabowski, M. & Harrald, J.R. 2022. Measuring Prediction Accuracy in a Maritime Accident Warning System. Production & Operations Management. 31:2, February, 819–827.  FT-50.
9. Camur, M.C., Sharkey, T.C., Dorsey, C.A., Grabowski, M.R., Wallace, W.A., Birkland, T. & Lowe, M. 2021. Optimizing the Response to Mass Rescue Events. Transportation Research: Part E. 152, August. 
10. Rowen, A., Grabowski, M.R. & Rancy, J.-P. 2021. Moving and Improving in Safety-Critical Systems: Impacts of Head- Mounted Displays on Operator Mobility, Performance and Situation Awareness. International Journal of Human-Computer Systems, 150, June, 102606.
11. Sellevold, E., May, T., Gangi, S., Kulakowski, J., McDonnell, I., Hill, D. & Grabowski, M.R. 2020. Asset Tracking, Condition Visibility and Sustainability using Unmanned Aerial Systems in Global Logistics. Transportation Research Interdisciplinary Perspectives. 8, November, 100234.