
@article {167,
	title = {Virtual Visit: A Web-based Assistive Interface for Touring Cultural Spaces Remotely},
	year = {2022},
	month = {May},
	institution = {Stony Brook University},
	abstract = {Virtual Visit successfully mimics the experience of visiting a gallery all from within the
browser. It blends multiple open source technologies together in a way that is novel and highly
functional: Marzipano for interactive panoramas, Webgazer for eye tracking, JSPsych for setup
and calibration, and the Web Speech API for speech recognition. It demonstrates that the
theoretical model of BayesGaze can work in a real world application and works better than the
Dwell Method.},
	author = {Conor Brandon},
	editor = {Anthony Scarlatos}
}
@mastersthesis {165,
	title = {Crop Yield Predictor for Small Farms in Monroe County, NY},
	volume = {BS},
	year = {2021},
	month = {May},
	pages = {21},
	school = {Stony Brook University},
	type = {Honors College},
	abstract = {There has been an economic shift recently towards larger farms, although small farms make up 91\% of farms in the United States and are {\textquotedblleft}more productive per unit of land than large farms{\textquotedblright} (Reynolds). One way we could help small farms compete and cope with climate change is through predictive analytics applications. However, these apps are catered more towards larger farms regarding prices and ease of use. If these tools were to focus more on the needs of small farms, they could help them make informed decisions based on predicted future yields. This is the goal of Yield Predictor, an application I developed that predicts the total yields for a specific crop users enter into the app. They will be able to see a scatter plot of predicted yields for the next 10 years based on two climate scenarios: RCP 4.5 (intermediate climate scenario) and RCP 8.5 (worst-case climate scenario).},
	keywords = {Agriculture, AI, TensorFlow},
	author = {Carolyn Bremer}
}
@article {164,
	title = {MERIT: Model-driven Rehoming for VNF Chains},
	year = {2020},
	month = {July},
	institution = {Stony Brook University},
	author = {Muhammad Wajahat and Bharath Balasubramanian and Anshul Gandhi and Gueyoung Jung and Shankaranarayanan Puzhavakath Narayanan}
}
@article {159,
	title = {Significantly improving networked applications using congestion-aware transport modeling},
	year = {2018},
	month = {November},
	institution = {Stony Brook University},
	type = {Technical Report},
	author = {Yi Cao and Aruna Balasubramanian and Anshul Gandhi}
}
