Rohit Singh

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Uber ∙ Carnegie Mellon University

Consenting to Internet of Things Across Different Social Settings

Devices connected to the Internet of Things (IoT) are rapidly becoming u...
02/18/2021 ∙ by Yasasvi Hari, et al. ∙ 0 ∙ share

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Ultra-dense Low Data Rate (UDLD) Communication in the THz

In the future, with the advent of Internet of Things (IoT), wireless sen...
09/22/2020 ∙ by Rohit Singh, et al. ∙ 0 ∙ share

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SHINE (Strategies for High-frequency INdoor Environments) with Efficient THz-AP Placement

The increasing demand for ultra-high throughput in ultra-dense networks ...
03/16/2020 ∙ by Rohit Singh, et al. ∙ 0 ∙ share

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Green Security Game with Community Engagement

While game-theoretic models and algorithms have been developed to combat...
02/21/2020 ∙ by Taoan Huang, et al. ∙ 0 ∙ share

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An Analytical Model for Efficient Indoor THz Access Point Deployment

Ultra-densification of user equipment (UE) and access points (APs) are a...
01/30/2020 ∙ by Rohit Singh, et al. ∙ 0 ∙ share

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MOTH- Mobility-induced Outages in THz: A Beyond 5G (B5G) application

5G will enable the growing demand for Internet of Things (IoT), high-res...
11/13/2019 ∙ by Rohit Singh, et al. ∙ 0 ∙ share

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Reliable THz Communications for Outdoor based Applications- Use Cases and Methods

Future (beyond 5G) wireless networks will demand high throughput and low...
11/13/2019 ∙ by Rohit Singh, et al. ∙ 0 ∙ share

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Parameter Modeling for Small-Scale Mobility in Indoor THz Communication

Despite such challenges as high path loss and equipment cost, THz commun...
08/23/2019 ∙ by Rohit Singh, et al. ∙ 0 ∙ share

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Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations

Illegal wildlife poaching threatens ecosystems and drives endangered spe...
03/08/2019 ∙ by Shahrzad Gholami, et al. ∙ 0 ∙ share

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Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference

A regression-based BNN model is proposed to predict spatiotemporal quant...
01/17/2019 ∙ by Xinyu Hu, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Green Security Games with Real-Time Information

Green Security Games (GSGs) have been proposed and applied to optimize p...
11/06/2018 ∙ by Yufei Wang, et al. ∙ 0 ∙ share

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Pyro: Deep Universal Probabilistic Programming

Pyro is a probabilistic programming language built on Python as a platfo...
10/18/2018 ∙ by Eli Bingham, et al. ∙ 0 ∙ share

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Designing the Game to Play: Optimizing Payoff Structure in Security Games

Effective game-theoretic modeling of defender-attacker behavior is becom...
05/05/2018 ∙ by Zheyuan Ryan Shi, et al. ∙ 0 ∙ share

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Rohit Singh

Featured Co-authors

Milind Tambe

Yi Wu

Fei Fang

Noah D. Goodman

Long Tran-Thanh

Yufei Wang

Bistra Dilkina

Lantao Yu

Theofanis Karaletsos

Martin Jankowiak

Weiran Shen

Consenting to Internet of Things Across Different Social Settings

Ultra-dense Low Data Rate (UDLD) Communication in the THz

SHINE (Strategies for High-frequency INdoor Environments) with Efficient THz-AP Placement

Green Security Game with Community Engagement

An Analytical Model for Efficient Indoor THz Access Point Deployment

MOTH- Mobility-induced Outages in THz: A Beyond 5G (B5G) application

Reliable THz Communications for Outdoor based Applications- Use Cases and Methods

Parameter Modeling for Small-Scale Mobility in Indoor THz Communication

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations

Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference

Deep Reinforcement Learning for Green Security Games with Real-Time Information

Pyro: Deep Universal Probabilistic Programming

Designing the Game to Play: Optimizing Payoff Structure in Security Games