Funding
![](https://cs.purdue.edu/homes/bbenes/images/grants/nsf.jpg)
2023-2025
National Science Foundation, (co-PI) 2309564
![](https://cs.purdue.edu/homes/bbenes/images/grants/google.png)
2023-2024
Google, (PI)
Species and image-conditioned 3D tree generation with diffusion models
![](https://cs.purdue.edu/homes/bbenes/images/grants/nsf.jpg)
2021-2024
National Science Foundation, (co-PI) 2113991
![](https://cs.purdue.edu/homes/bbenes/images/grants/ag2pi.jpg)
2021-2021
Agricultural Genome to Phenome Initiative, (PI)
Optimizing 3D Canopy Architecture for Better Crops,
![](https://cs.purdue.edu/homes/bbenes/images/grants/FFAR.png)
2019-2022
FFAR
![](https://cs.purdue.edu/homes/bbenes/images/grants/nsf.jpg)
2019-2022
National Science Foundation, (co-PI) 1835473
![](https://cs.purdue.edu/homes/bbenes/images/grants/nsf.jpg)
2019-2022
National Science Foundation, (co-PI) 10001387
![](https://cs.purdue.edu/homes/bbenes/images/grants/nsf.jpg)
2018-2022
National Science Foundation, (co-PI) 10001364
![](https://cs.purdue.edu/homes/bbenes/images/grants/nsf.jpg)
2017-2019
National Science Foundation, (PI) 1608762
![](https://cs.purdue.edu/homes/bbenes/images/grants/nsf.jpg)
2017-2022
National Science Foundation, (co-PI) 1726865
![](https://cs.purdue.edu/homes/bbenes/images/grants/doe.jpg)
2016-2019
Department of Energy, (co-PI)
Solution for Predictive Physical Modeling in CDTE and Other Thin-Film PV Technologies
![](https://cs.purdue.edu/homes/bbenes/images/grants/nsf.jpg)
2016-2019
National Science Foundation, (co-PI) 1608762
![](https://cs.purdue.edu/homes/bbenes/images/grants/nsf.jpg)
2016-2019
National Science Foundation, (co-PI) 1606396
![](https://cs.purdue.edu/homes/bbenes/images/grants/intel.jpg)
2015-2016
Intel, (PI)
Enhancing Computer Graphics Education with Many Integrated Core Computing
![](https://cs.purdue.edu/homes/bbenes/images/grants/Ford.jpg)
2014-2016
Ford Inc, (co-PI)
Tomographic data reconstruction,
![](https://cs.purdue.edu/homes/bbenes/images/grants/siemens.jpg)
2014-2015
Siemens Inc, (PI)
Software analysis for 3-D printing
![](https://cs.purdue.edu/homes/bbenes/images/grants/usda.jpg)
2013-2015
United States Department of Agriculture(co-PI)
Integrating Spatial Educational Experiences (Isee) – Mapping a New Approach to Teaching and Learning Soil Science
![](https://cs.purdue.edu/homes/bbenes/images/grants/mtc.JPG)
2011-2012
Metropolitan Transportation Commission (CO-PI)
Urban Simulation Visualization
![](https://cs.purdue.edu/homes/bbenes/images/grants/nasa.jpg)
2011-2014
NASA (CO-PI)
A Global High-Resolution Fossil Fuel CO2 Inventory Built From Assimilation of in Situ and Remotely-Sensed Datasets to Advance Satellite Greenhouse Gas Detection Support Systems
![](https://cs.purdue.edu/homes/bbenes/images/grants/nsf.jpg)
2010-2013
National Science Foundation (CO-PI)
![](https://cs.purdue.edu/homes/bbenes/images/grants/adobe.jpg)
2010-present
Adobe Inc (PI)
Procedural Modeling
![](https://cs.purdue.edu/homes/bbenes/images/grants/usda.jpg)
2008-2010
United States Department of Agriculture(co-PI)
Integrating Spatial Education Experience (ISEE) into Crop, Soil, and Environmental Science Curricula