Srinivas Aluru is executive director of the Institute for Data Engineering and Science (IDEaS) and professor in the School of Computational Science and Engineering at Georgia Institute of Technology. He co-leads the NSF South Big Data Regional Innovation Hub which nurtures big data partnerships between organizations in the 16 Southern States and Washington D.C., and the NSF Transdisciplinary Research Institute for Advancing Data Science. Aluru conducts research in high performance computing, large-scale data analysis, bioinformatics and systems biology, combinatorial scientific computing, and applied algorithms. An early pioneer in big data, Aluru led one of the eight inaugural mid-scale NSF-NIH Big Data projects awarded in the first round of federal big data investments in 2012. He has contributed to NITRD and OSTP led white house workshops, and NSF and DOE led efforts to create and nurture research in big data and exascale computing. He is a recipient of the NSF Career award, IBM faculty award, Swarnajayanti Fellowship from the Government of India, the John. V. Atanasoff Discovery Award from Iowa State University, and the Outstanding Senior Faculty Research Award, Dean's award for faculty excellence, and the Outstanding Research Program Development Award at Georgia Tech. He is a Fellow of AAAS, IEEE, and SIAM, and is a recipient of the IEEE Computer Society Golden Core and Meritorious Service awards.

Nazanin Bassiri-Gharb joined Georgia Tech in summer 2007 as an assistant professor at the George W. Woodruff School of Mechanical Engineering. Prior to this, she was a senior engineer in the materials and device R&D group of MEMS Research and Innovation Center at QUALCOMM MEMS Technologies, Inc. Her work included characterization and optimization of optical and electric response of IMOD displays and research on novel materials for improved processing and reliability of IMOD. Bassiri-Gharb's research interests are in smart and energy-related materials (e.g. ferroelectric and multiferroic materials) and their application to nano- and micro-electromechanical systems. Her research projects integrate novel micro and nanofabrication techniques and processes and study of the fundamental science of these materials at the nanoscale, at the interface of physical and electrochemical phenomena.

Dr. Chen has an extensive research interests in environmental science and engineering. More specifically, he is a leading researcher in the environmental applications of nanomaterials and their potential fate, transport, transformation, bioaccumulation and toxicity in the environment. His interests in environmental nanomaterials dated back in his graduate research in 1992. He has also been active on algae based bio-renewable energy and sustainable urban development. Dr. Chen has been principle and co-principal investigators for 28 research projects (by June 2010) funded by the National Science Foundation, U.S. Environmental Protection Agency, NASA, Boeing and other organizations. The total funds are $7 million. He has also served as a review member or panel review member in the U.S. National Science Foundation, the U.S. Environmental Protection Agency, the U.S. Department of Energy evaluation committee. He has also been invited to serve as an abroad review expert for the China Changjiang Scholars Program (which is to awarded to the top researchers in China). He has published more than 40 papers and two book chapters in this field.

Dr. Chen received his Ph.D in Nankai University, China. He joined the Dept. of Civil & Environmental Engineering in May 2009. Till then, he was an Associate Professor Research at the Arizona State University.

Dr. Cassie S. Mitchell is a research engineer, elite athlete, and mentor. She is a current member of the USA Paralympic team and research faculty in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University. At age 18 Cassie was afflicted with Devics Neuromyelitis Optica, leaving her as a quadriplegic and with visual impairments. Her faith and philosophy on life has helped her to overcome the resulting challenges. She graduated with a B.S. in Chemical Engineering from Oklahoma State University and a Ph.D. in Biomedical Engineering from GT/Emory. She enjoys mentoring high school and college students as well as new spinal cord injury patients at Shepherd Center Brain and Spinal Cord Rehabilitiation Hospital, Atlanta, Georgia.

Professor Menon joined Flow Industries, Kent, Washington, as a research scientist, and in 1988, became a senior scientist and program manager for the computational fluid dynamics group in Quest Integrated, Inc. (formerly called Flow Research, Inc.). At Quest, Menon led research teams in various research projects such as the active control of combustion instability in ramjet engines, supersonic mixing studies, vertical takeoff and landing (VTOL) aircraft fluid dynamics, and hypersonic reentry problems. In 1992, he joined Georgia Institute of Technology as an associate professor and became a professor in 1997. He is currently the Hightower Professor of Engineering in Georgia Tech. Professor Menon is a world renowned expert in large-eddy simulation of turbulent reacting and non-reacting flows and has developed unique simulation capabilities to study pollutant formation, ozone depletion in high-altitude aircraft jet plumes and combustion in gas turbine and ramjet engines. He has been (and is currently) a principal investigator for a wide range of research projects funded by NASA, Department of Energy, Air Force Office of Scientific Research, Office of Naval Research, Defense Threat Reduction Agency. His work has been (and is also) supported by many industries including General Electric, Pratt & Whitney, Solar Turbines, Boeing, Safran (France), Hyundai (S. Korea), JAXA (Japan), IHI (Japan) and Rocketdyne-Aerojet. He has published and/or presented over 395 papers. Professor Menon is a Fellow of AAAS, Associate Fellow of AIAA, and a member of the American Physical Society, the American Society of Mechanical Engineers, the Combustion Institute and the Sigma Xi. He is a peer reviewer for numerous archival journals, NASA, NSF, DoD and DOE research proposals.

Dr. Jian Luo completed his undergraduate and M.S. studies at Tsinghua University, Beijing, where he received a B.Sc.(Eng.) and a M.S. degree in Environmental Engineering in 1998 and 2000, respectively. He completed his Ph.D. in 2006 in Department of Civil and Environmental Engineering at Stanford University, California. The research Dr. Luo is conducting involves field, theoretical, and computational investigations of flow and reactive transport in subsurface; development and application of geostatistical methods for the spatial and temporal analysis of hydrogeologic and biochemistry data; development of computational algorithms and programs to simulate subsurface flow and reactive transport, and to assess the associated uncertainty; inverse modeling to estimate flow and transport parameters under uncertainty; and use of such computational methods and models to assess subsurface contamination, and to aid the optimal design of groundwater remediation operations.

Dr. Medford is interested in leveraging materials informatics, statistics, and machine learning to maximize the practical impact of fundamental atomic-scale simulations in the field of surface science and catalysis. His research areas include heterogeneous catalysis, oxide surface chemistry, density functional theory, kinetic models, uncertainty quantification, and Bayesian optimization and inference.

Agata Rozga is a psychologist with expertise and 13 years of experience forging a new interdisciplinary research area at the intersection of computing and psychology called computational behavioral science. The research vision is to transform the measurement, analysis, and understanding of health-related behaviors by leveraging advances in sensing, wearable and mobile technologies, and computational analysis methods. The ultimate goal is to develop tools that can lead to better detection, monitoring, and treatment of a variety of chronic health conditions.

One key area Dr. Rozga’s research has focused on is understanding early trajectories and predictors of social communication in children diagnosed with Autism Spectrum Disorder. In her most recent work, she is applying novel computational methods to longitudinal measures of communication behavior to understand different pathways to language in autism, including failure to acquire spoken language by age 5. Dr. Rozga’s research has recently expanded to include a focus on Mild Cognitive Impairment, with an eye toward developing novel AI-based systems to help monitor cognitive and functional decline in everyday activities, to deliver appropriate in-situ supports, and to support care networks.

Dr. Rozga serves as the Director of Translational Research for the Georgia Tech-led NSF National AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING), and as the Programs and Research Director for the Technology Core of the Cognitive Empowerment Program at the Emory Brain-Health Center. She was previously the Head of Product for Diligent Robotics, https://www.diligentrobots.com/.