Thomas Ploetz is a computer scientist with expertise and almost 15 years of experience in Pattern Recognition and Machine Learning research (Ph.D. from Bielefeld University, Germany). His research agenda focuses on applied machine learning that is developing systems and innovative sensor data analysis methods for real world applications. Primary application domain for his work is computational behavior analysis, in which he develops methods for automated and objective behavior assessments in naturalistic environments. Main driving functions for his work are "in the wild" deployments and the development of systems and methods that have a real impact on people’s lives.

In 2017, Dr. Ploetz joined the School of Interactive Computing at the Georgia Institute of Technology, where he works as an associate professor. Prior to this, he was an academic at the School of Computing Science at Newcastle University in Newcastle in Tyne, U.K., where he was a reader (associate professor) for Computational Behavior Analysis affiliated with Open Lab, Newcastle's interdisciplinary center for research in digital technologies.

Visit the Computational Behavior Analysis Lab: cba.gatech.edu.

Jeff Wilson is a senior research scientist at Georgia Tech. He received a Bachelor of Computer Science in 1999 and a Masters of Computer Science in 2001 from Georgia Tech.  His areas of specialization include graphics, visualization, digital audio, game design, and virtual and augmented reality applications.  Some of the projects Jeff has worked on include large-format, projected VR displays, mobile and head-mounted AR applications, auditory interfaces for automotive applications, educational games, and mobile health applications.

Peter Presti is a senior research scientist at the Georgia Institute of Technology. During his 22 years with the university he has collaborated with companies such as IBM, Humana, Google, Microsoft, Intel, Alcatel-Lucent, Bellsouth, Denon Nippon-Columbia, and others. Government research sponsors have included DARPA, NIH, NSF, DoE, USDA, and the VA. His areas of research include sensor systems and biometrics, wearable computers, signal processing, pattern recognition, embedded systems, electronics design, data visualization and computer graphics, and computational geometry. His background spanning both custom hardware and software development provides him the skills to design and build fully integrated prototype systems, and in past projects has designed and built high-speed data capture systems, a variety of kinetic sensors, biometric sensors, and wearable computer systems.