Edgar Lobaton
Electrical and Computer Engineering
- Phone: 919.515.5151
- Email: ejlobato@ncsu.edu
- Office: 2062 Engineering Building II
- Website: https://research.ece.ncsu.edu/aros/
Edgar Lobaton received the B.S. degree in mathematics and the B.S. degree in electrical engineering from Seattle University in 2004. He completed his Ph.D. in electrical engineering and computer sciences from the University of California, Berkeley in 2009. He is currently a Professor in the Department of Electrical and Computer Engineering at North Carolina State University. Lobaton joined the department in 2011.
Research Interests
His research focuses on the integration of AI, and physical and probabilistic modeling applied to cyber-physical systems in areas such as wearable health monitoring, rehabilitation robotics, agriculture and biological imaging. Lobaton was engaged in research at Alcatel-Lucent Bell Labs in 2005 and 2009. He was awarded the NSF CAREER Award in 2016. He was also awarded the 2009 Computer Innovation Fellows post-doctoral fellowship and conducted research in the Department of Computer Science at the University of North Carolina (UNC) at Chapel Hill from 2009 until 2011. In 2023, he received the William F. Lane Outstanding Teaching and the Winser Alexander Diversity Faculty Awards from the ECE Department. In 2024, he received the University Faculty Scholars and the Outstanding Teacher Awards from NC State.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Electrical Engineering and Computer Sciences | University of California, Berkeley | 2009 |
| BS | Electrical Engineering | Seattle University | 2004 |
| BS | Mathematics | Seattle University | 2004 |
Awards and Honors
- 2024 | University Faculty Scholars Award
- 2024 | Outstanding Teacher Award
- 2023 | William F. Lane Outstanding Teaching Award
- 2023 | Winser Alexander Diversity Faculty Award
- 2022 | IEEE Senior Membership
- 2016 | NSF CAREER Award
- 2009-2011 | Computer Innovation Fellows Postdoctoral Award
- 2004-2008 | Bell Labs Graduate Research Fellowship
- 2003 | Barry M. Goldwater Scholar Award for Excellence in Education
Publications
- A Multiple Instance Learning Approach to Study Leaf Wilt in Soybean Plants
- Banerjee, S., Ramos, P., Reberg-Horton, C., Mirsky, S., Locke, A., & Lobaton, E. (2025), AGRICULTURE-BASEL, 15(6). https://doi.org/10.3390/agriculture15060614
- Sweet Potato Yield Prediction Using Machine Learning Based on Multispectral Images Acquired from a Small Unmanned Aerial Vehicle
- Singh, K., Huang, Y., Young, W., Harvey, L., Hall, M., Zhang, X., … Shankle, M. (2025), AGRICULTURE-BASEL, 15(4). https://doi.org/10.3390/agriculture15040420
- Alzheimer’s Disease Classification From Speech Pause Distributions With Context Information
- Khatri, G., Soleimani, R., Haley, K. L., Jacks, A., & Lobaton, E. (2024), 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc53108.2024.10782834
- Dementia Detection by In-Text Pause Encoding
- Soleimani, R., Guo, S., Haley, K. L., Jacks, A., & Lobaton, E. (2024), 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc53108.2024.10781756
- Effect of sensor number and location on accelerometry-based vertical ground reaction force estimation during walking
- Pimentel, R., Armitano-Lago, C., Macpherson, R., Sathyan, A., Twiddy, J., Peterson, K., … Franz, J. R. (2024), PLOS DIGITAL HEALTH, 3(5). https://doi.org/10.1371/journal.pdig.0000343
- Evaluating Bacterial Nanocellulose Interfaces for Recording Surface Biopotentials from Plants
- Reynolds, J., Wilkins, M., Martin, D., Taggart, M., Rivera, K. R., Tunc-Ozdemir, M., … Daniele, M. A. (2024), SENSORS, 24(7). https://doi.org/10.3390/s24072335
- Histones Classification Based on EGFET Signals
- Barahona, J., Richardson, H., Acosta, L., Khatri, G., Miller, F., Pavlidis, S., & Lobaton, E. (2024), 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc53108.2024.10782679
- Photorealistic Arm Robot Simulation for 3D Plant Reconstruction and Automatic Annotation using Unreal Engine 5
- Li, X., Park, J., Reberg-Horton, C., Mirsky, S., Lobaton, E., & Xiang, L. (2024), 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW, pp. 5480–5488. https://doi.org/10.1109/CVPRW63382.2024.00557
- Quantifying Visual Differences in Drought Stressed Maize through Reflectance and Data-Driven Analysis
- Banerjee, S., Reynolds, J., Taggart, M., Daniele, M. A., Bozkurt, A., & Lobaton, E. (2024). , . https://doi.org/10.20944/preprints202404.1949.v1
- Quantifying Visual Differences in Drought-Stressed Maize through Reflectance and Data-Driven Analysis
- Banerjee, S., Reynolds, J., Taggart, M., Daniele, M., Bozkurt, A., & Lobaton, E. (2024), AI, 5(2), 790–802. https://doi.org/10.3390/ai5020040
