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Anahita Khojandi
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Real-time sensor anomaly detection and identification in automated vehicles
F van Wyk, Y Wang, A Khojandi, N Masoud
IEEE Transactions on Intelligent Transportation Systems 21 (3), 1264-1276, 2019
2442019
Real-time sensor anomaly detection and recovery in connected automated vehicle sensors
Y Wang, N Masoud, A Khojandi
IEEE Transactions on Intelligent Transportation Systems 22 (3), 1411-1421, 2020
1282020
Optimizing clinical assessments in Parkinson's disease through the use of wearable sensors and data driven modeling
RA Ramdhani, A Khojandi, O Shylo, BH Kopell
Frontiers in computational neuroscience 12, 72, 2018
712018
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier
F van Wyk, A Khojandi, A Mohammed, E Begoli, RL Davis, ...
International Journal of Medical Informatics 122, 55-62, 2019
682019
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study
F Van Wyk, A Khojandi, R Kamaleswaran
IEEE journal of biomedical and health informatics 23 (3), 978-986, 2019
492019
From data to improved decisions: Operations Research in healthcare delivery
M Capan, A Khojandi, BT Denton, KD Williams, T Ayer, J Chhatwal, ...
Medical Decision Making 37 (8), 849-859, 2017
472017
Prediction of sepsis and in-hospital mortality using electronic health records
A Khojandi, V Tansakul, X Li, RS Koszalinski, W Paiva
Methods of information in medicine 57 (04), 185-193, 2018
422018
Temporal differential expression of physiomarkers predicts sepsis in critically ill adults
A Mohammed, F Van Wyk, LK Chinthala, A Khojandi, RL Davis, ...
Shock 56 (1), 58-64, 2021
352021
Building resiliency to climate change uncertainty through bioretention design modifications
RA Tirpak, JM Hathaway, A Khojandi, M Weathers, TH Epps
Journal of Environmental Management 287, 112300, 2021
342021
The flying sidekick traveling salesman problem with stochastic travel time: A reinforcement learning approach
Z Liu, X Li, A Khojandi
Transportation Research Part E: Logistics and Transportation Review 164, 102816, 2022
332022
Improving deep reinforcement learning with transitional variational autoencoders: A healthcare application
M Baucum, A Khojandi, R Vasudevan
IEEE Journal of Biomedical and Health Informatics 25 (6), 2273-2280, 2020
332020
How much data should we collect? A case study in sepsis detection using deep learning
F Van Wyk, A Khojandi, R Kamaleswaran, O Akbilgic, S Nemati, RL Davis
2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT …, 2017
322017
Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review
J Watts, A Khojandi, O Shylo, RA Ramdhani
Brain Sciences 10 (11), 809, 2020
312020
Optimizing Individualized Treatment Planning for Parkinson’s Disease Using Deep Reinforcement Learning
J Watts, A Khojandi, R Vasudevan, R Ramdhani
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
312020
An agent-based approach to study the diffusion rate and the effect of policies on joint placement of photovoltaic panels and green roof under climate change uncertainty
M Ramshani, X Li, A Khojandi, O Omitaomu
Applied Energy 261, 114402, 2020
302020
A markov decision process framework to incorporate network-level data in motion planning for connected and automated vehicles
X Liu, N Masoud, Q Zhu, A Khojandi
Transportation Research Part C: Emerging Technologies 136, 103550, 2022
272022
Optimal planning of the joint placement of photovoltaic panels and green roofs under climate change uncertainty
M Ramshani, A Khojandi, X Li, O Omitaomu
Omega 90, 101986, 2020
272020
Optimal switching policy between driving entities in semi-autonomous vehicles
F van Wyk, A Khojandi, N Masoud
Transportation Research Part C: Emerging Technologies 114, 517-531, 2020
232020
A path towards understanding factors affecting crash severity in autonomous vehicles using current naturalistic driving data
F van Wyk, A Khojandi, N Masoud
Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020
232020
A dynamic deep reinforcement learning-Bayesian framework for anomaly detection
J Watts, F Van Wyk, S Rezaei, Y Wang, N Masoud, A Khojandi
IEEE Transactions on Intelligent Transportation Systems 23 (12), 22884-22894, 2022
202022
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