Craig Forest is a Professor and Woodruff Faculty Fellow in the George W. Woodruff School of Mechanical Engineering at Georgia Tech where he also holds program faculty positions in Bioengineering and Biomedical Engineering. He conducts research on miniaturized, high-throughput robotic instrumentation to advance neuroscience and genetic science, working at the intersection of bioMEMS, precision machine design, optics, and microfabrication. Prior to Georgia Tech, he was a research fellow in Genetics at Harvard Medical School. He obtained a Ph.D. in Mechanical Engineering from MIT in June 2007, M.S. in Mechanical Engineering from MIT in 2003, and B.S. in Mechanical Engineering from Georgia Tech in 2001. He is cofounder/organizer of one of the largest undergraduate invention competitions in the US—The InVenture Prize, and founder/organizer of one of the largest student-run makerspaces in the US—The Invention Studio. He was a recently a Fellow in residence at the Allen Insitutte for Brain Science in Seattle WA; he was awarded the Georgia Tech Institute for BioEngineering and BioSciences Junior Faculty Award (2010) and was named Engineer of the Year in Education for the state of Georgia (2013). He is one of the inaugural recipients of the NIH BRAIN Initiative Grants, a national effort to invent the next generation of neuroscience and neuroengineering tools. In 2007, he was a finalist on the ABC reality TV show "American Inventor.”

Andrew Dugenske is the Director of the Factory Information Systems (FIS) Center and a Principal Research Engineer at the Georgia Tech Manufacturing Institute (GTMI). He is also founder and C.E.O. of Factory Right LLC, a software company that provides information technology solutions to manufacturing enterprises and was co-founder and president of Great Technological Collaborations Inc. In addition, Mr. Dugenske is a State of Georgia registered professional engineer.

For the past 20 years, Mr. Dugenske has led dozens of industry-funded projects relating to software systems and supply chain issues across a variety of industries. He currently acts as an industry liaison for Georgia Tech, conducts short courses, publishes, and consults in the area of Factory Information Systems (FIS). He is a member of the National Electronics Manufacturing Initiative (NEMI) FIS working and implementation groups, the NEMI road mapping team, several IPC technical committees, the JISSO International Council and the joint NEMI-IPC CAMX standardization committees.  Prior to his arrival at GTMI, Mr. Dugenske was a Research Engineer at the Georgia Tech Research Institute (GTRI), where he developed computer-controlled radar positioning systems, conducted structural analysis using finite element analysis, and provided design expertise.  He received a B.S. from the University of Illinois, an M.S. from the Georgia Institute of Technology both in Mechanical Engineering.

Audra Davidson is a research communications program manager in Georgia Tech's Institute Communications supporting the Georgia Tech Manufacturing Institute, the Neuro Next Initiative, and Georgia Tech research communications overall.

Colton's research interests are in the areas of design and manufacturing, focusing on polymers and polymer composites. Processing techniques, such as micro-molding, injection molding, filament winding, resin transfer molding and the like, are studied and used to fabricate these devices and products, such as smart composite structures.

The design of processing techniques and equipment for metamaterials also are being studied with applications being dielectric materials for electromagnetic applications. Due to the small-scale physics associated with their engineering, nano-scale metamaterials exhibit superior properties and enhanced performance.

Colton has a strong passion for the application of engineering for the common good – "humanitarian design and engineering" and "design that matters," - such as in developing countries and other resource limited environments. To be successful, multidisciplinary teams must work together to produce products that function as well as delight, that exceed customer's expectations, regardless of where the product is used. Along these lines, product design and role that the interactions between engineering and industrial design forms another research interest.

I am an Associate Professor in the School of Interactive Computing at Georgia Tech. I received my Ph.D. and B.S. degrees in Computer Science from Carnegie Mellon University, and held positions as a Postdoctoral Associate at the MIT Media Lab and as Assistant Professor at Worcester Polytechnic Institute prior to joining Georgia Tech. I direct the Robot Autonomy and Interactive Learning (RAIL) lab, where we work on developing robots that are able to effectively operate in human environments. My research interests span robotics and artificial intelligence, including semantic reasoning, adjustable autonomy, human computation and cloud robotics. Please visit the RAIL lab website for a description of our latest projects.

My research focuses on engineering-driven machine learning methodologies for real-world problems in manufacturing and healthcare. The objective is to develop new models that combine learning methods with domain knowledge, in order to improve (i) efficiency, performance, and interpretability of the learning models; and (ii) productivity, scalability, and security of the engineering systems. 

Research areas: Additive Manufacturing, Bio-manufacturing, Healthcare, Machine Learning, Statistics.

Location:
Jialei Chen, Ph.D.
Department of Statistics, University of Georgia