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07/10/2015 - Summer RET Program

07/16/2016 - Pilot Mountain, NC

07/30/2016 - Black River Paintball

Dr. Edgar Lobaton

Associate Professor, ECE Department, NCSU

Dr. 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 an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University. Dr. Lobaton joined the department in 2011. His research focuses on the development of pattern recognition, estimation theory, and statistical and topological-data-analysis tools applied to wearable health monitoring, robotics and computer vision. He was awarded the NSF CAREER Award in 2016. Prior to joining NCSU, he was awarded the 2009 Computer Innovation Fellows post-doctoral fellowship award and conducted research in the Department of Computer Science at the University of North Carolina at Chapel Hill. He was also engaged in research at Alcatel-Lucent Bell Labs in 2005 and 2009.

Boxuan Zhong

Graduate Research Assistant (PhD)

I am a 4th year Ph.D. student. I received my Bachelor degree at Huazhong University of Science and Technology in China. Currently, I am co-adviced by Dr. Edgar Lobaton (ECE NCSU) and Dr. He (Helen) Huang (BME UNC & NCSU). My areas of research interest are machine learning, computer vision, and robotics. I am working on physiological response prediction and emotion recognition for the wearable project, image classification for the foram identification project, and enabling smarter control of upper limb prosthesis via computer vision techniques (a project in collaboration with Neuromuscular Rehabilitation Engineering Lab).

Jeremy Cole

Graduate Research Assistant (PhD)

I am a 4th year PhD student, receiving my Bachelor and Master degrees at NC State. I’ve worked on motion planning for steerable medical needles and am currently interested in navigation for swarm-based systems. My research involves the pose estimation of the Biobotic agents used in the CINEMA project.

Qian Ge

Graduate Research Assistant (PhD)

I am a 5th year PhD student, receiving my Bachelor and Master degrees at University of Electronic Science and Technology of China. My areas of research interest are image processing and computer vision. I have worked on a project of semi-autonomous car and matching regions between bounded deformation images. I am current working on the image segmentation based on topological persistence.

Laura Gonzalez

Graduate Research Assistant (PhD)

The research aims to determine the quality of ECG signals and produce an algorithm for better heart-rate estimation, and activity prediction using both electrocardiogram and motion data.  The quality of signals will be measured across various platforms which use wet electrodes, such as the off-the-shelf Shimmer, and dry electrodes on wearable garments.

Nathan Starliper

Graduate Research Assistant (PhD)

Nathan Starliper is a second year PhD student with the ARoS Lab at North Carolina State university. He received his B.S. degree in Electrical Engineering from Virginia Commonwealth University. Prior to joining NCSU, Nathan worked as a Software Engineer in the pharmaceutical industry developing controls software for industrial robotics and automated manufacturing processes. His current research interests include machine learning, computer vision, robotics, and cyber-physical systems. His current research is focused on using machine learning tools for power efficient physiological response prediction from multi-modal wearable sensor systems with the aim of improving remote health and personalized wellness management in collaboration with the NSF ASSIST Center as NCSU. He has also been actively involved in investigating the implementation of computer vision in an embedded platform for terrain and object recognition in a robotic lower limb prosthesis.

Rafael L. da Silva

Graduate Research Assistant (PhD)

I am a 3rd year PhD student. I received my undergraduate at Instituto Federal de Educação, Ciência e Tecnologia de São Paulo, Brazil. I have a MS degree from University of São Paulo, with focus on signal identification in automotive internal combustion engines. My research interests are machine learning, signal processing, pattern recognition and computer vision. I am currently working on two projects, the first one is to develop a computer vision framework to identify and estimate different surfaces and terrains from a vision component together with an inertial measurement unit for an active prosthetic leg. The second aims to identify human activity from its motion and physiological response, aiming to provide a feedback about one’s health and habits to improve wellness awareness. For that purpose, I am using state of the art machine learning tools to evaluate frequency response over time and some statistical methods to evaluate time series auto-correlation.

Turner Richmond

Graduate Research Assistant (PhD)

Turner Richmond is a PhD student advised by Dr. Lobaton in the ARoS Lab at North Carolina State University. He received his B.S. degree in Computer Science from University of North Carolina. Prior to joining NCSU, he worked as a software developer on projects supporting MBS trading. His research focuses include pattern recognition, computer vision, dataset augmentation techniques, and computational geometric topology. His work at NCSU consists of contributing work on analysis of wearable sensors as well as species classification of microscopic fossils. The work on wearable sensors aims to predict user activity as well as physiological response. The work on microscopic fossils aims to classify species from images using topological properties of the species. Supporting work for species classification includes fusing GANs and 3D models for data augmentation.

Masters Students

Junaid Ahmed Memon (MS in ECE)

Undergraduate Research Assistants

Thomas Paniagua (ECE)