Transportation

How Mobility Patterns Drive Disease Spread: A Case Study Using Public Transit Passenger Card Travel Data

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Ahmad El Shoghri, Jessica Liebig, Lauren Gardner, Raja Jurdak, Salil Kanhere ( 2019 )

How Mobility Patterns Drive Disease Spread: A Case Study Using Public Transit Passenger Card Travel Data

2019 IEEE 20th International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM)
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Travel Surveillance and Genomics Uncover a Hidden Zika Outbreak during the Waning Epidemic

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Nathan D.Grubaugh, SharadaSaraf, KarthikGangavarapu … Lauren M. Gardner … Kristian G.Andersen ( 2019 )

Travel Surveillance and Genomics Uncover a Hidden Zika Outbreak during the Waning Epidemic

Cell Volume 178, Issue 5 
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G Measles resurgence in the USA: how international travel compounds vaccine resistance

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Sahotra Sarkar, Aleksa Zlojutro, Kamran Khan and Lauren Gardner ( 2019 )

Measles resurgence in the USA: how international travel compounds vaccine resistance

The Lancet Infectious Diseases (2019)
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S The future of natural gas infrastructure development in the United states

Leave a Comment / Energy, Peer-reviewed Journal Articles, Publications, Transportation /

Feijoo, F., Iyer, G.C., Avraam, C., Siddiqui, S.A., Clarke, L.E., Sankaranarayanan, S., Binsted, M.T., Patel, P.L., Prates, N.C., Torres-Alfaro, E., Wise, M.A., ( 2018 )

The future of natural gas infrastructure development in the United states

Applied Energy, 228, 149-166.

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G Modeling the relative role of human mobility, land-use and climate factors on dengue outbreak emergence in Sri Lanka

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Ying Zhang, Jefferson Riera, Kayla Ostrow, Sauleh Siddiqui, Harendra de Silva, Sahotra Sarkar, Lakkumar Fernando, Lauren Gardner ( 2018 )

Modeling the relative role of human mobility, land-use and climate factors on dengue outbreak emergence in Sri Lanka

bioRxiv
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In radiation therapy with continuous dose delivery for Gamma Knife® Perfexion™, the dose is delivered while the radiation machine is in movement, as oppose to the conventional step-and-shoot approach which requires the unit to stop before any radiation is delivered. Continuous delivery can increase dose homogeneity and decrease treatment time. To design inverse plans, we first find a path inside the tumor volume, along which the radiation is delivered, and then find the beam durations and shapes using a mixed-integer programming optimization (MIP) model. The MIP model considers various machine-constraints as well as clinical guidelines and constraints.

Radiation therapy is frequently used in diagnosing patients with cancer. Currently, the planning of such treatments is typically done manually which is time-consuming and prone to human error. The new advancements in computational powers and treating units now allow for designing treatment plans automatically.

To design a high-quality treatment, we select the beams sizes, positions, and shapes using optimization models and approximation algorithms. The optimization models are designed to deliver an appropriate amount of dose to the tumor volume while simultaneously avoiding sensitive healthy tissues. In this project, we work on finding the best beam positions for the radiation focal points for Gamma Knife® Perfexion™, using quadratic programming and algorithms such as grassfire and sphere-packing.