Category: News

Congratulations to our labmate, Spencer Chang, for accepting an internship at Naval Surface Warfare Center! Spencer will be working as a SMART Scholar Intern and he will be working on underwater sound source localization using deep neural networks. Great job, Spencer!  

Congratulations to our labmate, Meilun Zhou, for accepting an internship at The Air Force Research Laboratory! Meilun will be working as a SMART Scholar Intern and he will build upon the research that he conducted during last summer’s internship. This research will include the processing and analysis of hyperspectral imagery collected by sensors onboard aircraft […]

Congratulations to our labmate, Xiaolei Guo, for accepting an internship at Meta/Facebook! Xiaolei will be working as a Machine Learning Software Engineer Intern on the instagram recommendation team. Great job, Xiaolei!  

Congratulations to our labmate, Mira Saldanha, for accepting an internship at The Johns Hopkins University Applied Physics Laboratory! Mira will be working as a Data Science Intern in a project involving multimodal machine learning. Great job, Mira!  

Congratulations to our labmate, Luke Saleh, for accepting an internship at Johnson & Johnson – Ethicon! Luke will be working as a Data Science and Engineering Intern and will be working with electrical data/development of digital products. Great job, Luke!  

Congratulations to our labmate, Justin Rossiter, for accepting an internship at CACI International! Justin will be working as a Signal Processing and Data Analysis Engineer Intern and will be working on application of signal processing and data analysis techniques on RF data. Great job, Justin!  

Congratulations to our labmate, Anthony Khoury, for accepting an internship at Apple! Anthony will be working as a Software Engineering Intern in developing tools for the battery qualification team. Great job, Anthony!  

Abstract: Measuring forest biodiversity using terrestrial surveys is expensive and can only capture common species abundance in large heterogeneous landscapes. In contrast, combining airborne imagery with computer vision can generate individual tree data at the scales of hundreds of thousands of trees. To train computer vision models, ground-based species labels are combined with airborne reflectance […]

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Anthony Khoury! Anthony is a senior Computer Engineering student currently working on the Navy Project and he is very interested in Machine Learning and its impact on finance and medicine. He is involved with a few organizations including Theta Tau, Arab […]

Abstract: Root system architectures are complex and challenging to characterize effectively for agronomic and ecological discovery. We propose a new method, Spatial and Texture Analysis of Root System distribution with Earth mover’s Distance (STARSEED), for comparing root system distributions that incorporates spatial information through a novel application of the Earth Mover’s Distance (EMD). We illustrate […]