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Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation

Autor: Niazi, M. Umar B., Cho, Jung-Hoon, Dahleh, Munther A., Dong, Roy, Wu, Cathy

This paper proposes incentive mechanisms that promote eco-driving in transportation networks with the over-arching objective of minimizing emissions. The transportation system operator provides the drivers with energy-efficient driving guidance throu

Externí odkaz: http://arxiv.org/abs/2410.07952

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Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool

Autor: Su, Ziyu, Guo, Yongxin, Wesolowski, Robert, Tozbikian, Gary, O'Connell, Nathaniel S., Niazi, M. Khalid Khan, Gurcan, Metin N.

Accurate recurrence risk stratification is crucial for optimizing treatment plans for breast cancer patients. Current prognostic tools like Oncotype DX (ODX) offer valuable genomic insights for HR+/HER2- patients but are limited by cost and accessibi

Externí odkaz: http://arxiv.org/abs/2409.15491

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Mitigating Information Asymmetry in Two-Stage Contracts with Non-Myopic Agents

Autor: Dahleh, Munther A., Horel, Thibaut, Niazi, M. Umar B.

We consider a Stackelberg game in which a principal (she) establishes a two-stage contract with a non-myopic agent (he) whose type is unknown. The contract takes the form of an incentive function mapping the agent's first-stage action to his second-s

Externí odkaz: http://arxiv.org/abs/2406.12648

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Incentive Design for Eco-driving in Urban Transportation Networks

Autor: Niazi, M. Umar B., Cho, Jung-Hoon, Dahleh, Munther A., Dong, Roy, Wu, Cathy

Eco-driving emerges as a cost-effective and efficient strategy to mitigate greenhouse gas emissions in urban transportation networks. Acknowledging the persuasive influence of incentives in shaping driver behavior, this paper presents the `eco-planne

Externí odkaz: http://arxiv.org/abs/2311.03682

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Secure Set-Based State Estimation for Linear Systems under Adversarial Attacks on Sensors

Autor: Niazi, M. Umar B., Chong, Michelle S., Alanwar, Amr, Johansson, Karl H.

Set-based state estimation plays a vital role in the safety verification of dynamical systems, which becomes significantly challenging when the system's sensors are susceptible to cyber-attacks. Existing methods often impose limitations on the attack

Externí odkaz: http://arxiv.org/abs/2309.05075

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