226 citations · 733 across the 101 of their papers we have counts for
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A Transfer Operator Methodology for Optimal Sensor Placement Accounting for Uncertainty
Himanshu Sharma, Umesh Vaidya, Baskar Ganapathysubramanian
Sensors in buildings are used for a wide variety of applications such as monitoring air quality, contaminants, indoor temperature, and relative humidity. These are used for accessi…
Interpretable deep learning for guided structure-property explorations in photovoltaics
Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate +2
The performance of an organic photovoltaic device is intricately connected to its active layer morphology. This connection between the active layer and device performance is very e…
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning
Xian Yeow Lee, Aditya Balu, Daniel Stoecklein +2
Microfluidic devices are utilized to control and direct flow behavior in a wide variety of applications, particularly in medical diagnostics. A particularly popular form of microfl…
Physics-aware Deep Generative Models for Creating Synthetic Microstructures
Rahul Singh, Viraj Shah, Balaji Pokuri +3
A key problem in computational material science deals with understanding the effect of material distribution (i.e., microstructure) on material performance. The challenge is to syn…
PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization
Balaji Sesha Sarath Pokuri, Alec Lofquist, Chad M Risko +1
PARyOpt is a python based implementation of the Bayesian optimization routine designed for remote and asynchronous function evaluations. Bayesian optimization is especially attract…
Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions
Himanshu Sharma, Anthony D. Fontanini, Umesh Vaidya +1
Dynamical system-based linear transfer Perron- Frobenius (P-F) operator framework is developed to address analysis and design problems in the building system. In particular, the pr…
Predicting County Level Corn Yields Using Deep Long Short Term Memory Models
Zehui Jiang, Chao Liu, Nathan P. Hendricks +3
Corn yield prediction is beneficial as it provides valuable information about production and prices prior the harvest. Publicly available high-quality corn yield prediction can hel…
Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps
Koushik Nagasubramanian, Sarah Jones, Asheesh K. Singh +3
Our overarching goal is to develop an accurate and explainable model for plant disease identification using hyperspectral data. Charcoal rot is a soil borne fungal disease that aff…
A linearised model for calculating inertial forces on a particle in the presence of a permeate flow
Mike Garcia, Baskar Ganapathysubramanian, Sumita Pennathur
Understanding particle transport and localisation in porous channels, especially at moderate Reynolds numbers, is relevant for many applications ranging from water reclamation to b…