Erturk began at Georgia Tech in May 2011 as an Assistant Professor, he was promoted to Associate Professor with tenure in 2016 and became a full Professor in 2019. Prior to joining Georgia Tech, he worked as a Research Scientist in the Center for Intelligent Material Systems and Structures at Virginia Tech (2009-2011). His postdoctoral research interests included theory and experiments of smart structures for applications ranging from aeroelastic energy harvesting to bio-inspired actuation. His Ph.D. dissertation (2009) was centered on experimentally validated electromechanical modeling of piezoelectric energy harvesters using analytical and approxIMaTe analytical techniques. Prior to his Ph.D. studies in Engineering Mechanics at Virginia Tech, Erturk completed his M.S. degree (2006) in Mechanical Engineering at METU with a thesis on analytical and semi-analytical modeling of spindle-tool dynamics in machining centers for predicting chatter stability and identifying interface dynamics between the assembly components.

Rachel Ann Kuske is an American-Canadian applied mathematician and Professor and Chair of Mathematics at the Georgia Institute of Technology. 

Kuske received her Ph.D. in Applied Mathematics from Northwestern University in 1992. Her dissertation, Asymptotic Analysis of Random Wave Equations, was supervised by Bernard J. Matkowsky. From 1997 to 2002, she was assistant professor and then associate professor at the University of Minnesota. 

She is an expert on stochastic and nonlinear dynamics, mathematical modeling, asymptotic methods, and industrial mathematics. She served on the Scientific Advisory Board for the Institute for Computational and Experimental Research in Mathematics (ICERM), and as of 2021 she serves on ICERM's board of trustees.

Anju Toor is a researcher in nanomaterials for energy systems. She was a Bakar Innovation Fellow at the University of California, Berkeley, and worked on printed on-chip integrated micro batteries. She earned an M.S. in Electrical Engineering and a Ph.D. in Mechanical Engineering at University of California, Berkeley.

Her research focuses on advanced energy materials, printed electronics, energy storage systems, and nanoparticle self-assembly. She has led research on flexible and stretchable batteries for next-generation Augmented/Virtual Reality applications at Meta Reality Labs. She was named EECS Rising Star and selected for The Rising Stars Women in Engineering Workshop in Asia.

As an expert in self-assembly and energy materials, she has published over 20 research publications in the most reputed platforms in the field.

Sen Na is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech. Prior to joining ISyE, he was a postdoctoral researcher in the Department of Statistics and the International Computer Science Institute (ICSI) at University of California, Berkeley, working with Michael W. Mahoney. He received his Ph.D. in statistics from the University of Chicago in 2021, under the supervision of Mihai Anitescu and Mladen Kolar. Before attending University of Chicago, he received his B.S. in mathematics from Nanjing University in 2016. 

Na is broadly interested in the mathematical foundations of data science, with topics including high-dimensional statistics, graphical models, semiparametric models, optimal control, and large-scale and stochastic nonlinear optimization. He is also interested in the broad applications of machine learning methods in biology, neuroscience, and engineering. 

Na has received multiple awards, including the prestigious William Rainey Harper Dissertation Fellowship from UChicago and the 2023 MAPR Meritorious Service Award from the Mathematical Optimization Society.

Erin L. Ratcliff is a Full Professor in the School of Materials Science and Engineering and the School of Chemistry and Biochemistry at the Georgia Institute of Technology and holds a joint appointment at the National Renewable Energy Laboratory.  Prof. Ratliff is also the Associate Director of Scientific Continuity for Director of the currently funded Energy Frontier Research Center (EFRC) entitled “Center for Soft PhotoElectroChemical Systems (SPECS)”, a center which she directed at her prior appointment at University of Arizona.  

Her group “Laboratory for Interface Science for Printable Electronic Materials” uses a combination of applications and devices with electrochemistry, spectroscopies, microscopies, and synchrotron-based techniques to understand fundamental structure-property relationships of next-generation materials for energy conversion and storage and biosensing. Materials of interest include metal halide perovskites, π-conjugated materials, colloidal quantum dots, and metal oxides. Current research is focused on mechanisms of electron transfer and transport across interfaces, including semiconductor/electrolyte interfaces and durability of printable electronic materials.

Her research program has been funded by the Department of Energy Basic Energy Sciences, the Solar Energy Technology Office, Office of Naval Research, National Science Foundation, and the Nano Bio Materials Consortium.

Neu's research involves the understanding and prediction of the fatigue behavior of materials and closely related topics, typically when the material must resist degradation and failure in harsh environments. Specifically, he has published in areas involving thermomechanical fatigue, fretting fatigue, creep and environmental effects, viscoplastic deformation and damage development, and related constitutive and finite-element modeling with a particular emphasis on the role of the materials microstructure on the physical deformation and degradation processes. He has investigated a broad range of structural materials including steels, titanium alloys, nickel-base superalloys, metal matrix composites, molybdenum alloys, high entropy alloys, medical device materials, and solder alloys used in electronic packaging. His research has widespread applications in aerospace, surface transportation, power generation, machinery components, medical devices, and electronic packaging. His work involves the prediction of the long-term reliability of components operating in extreme environments such as the hot section of a gas turbine system for propulsion or energy generation. His research is funded by some of these industries as well as government funding agencies.

Ching-Hua Huang, Ph.D., is the Turnipseed Family Chair and Professor in the School of Civil and Environmental Engineering at Georgia Institute of Technology. Huang received her Ph.D. and M.S. degrees in environmental engineering from Johns Hopkins University. Huang’s expertise includes environmental chemistry, advanced water/wastewater treatment technology, contaminants of emerging concern, sustainable water reuse, waste remediation and resource recovery. Huang has supervised many research projects sponsored by various agencies, and has published more than 170 peer-reviewed journal papers, book chapters and conference proceeding papers. She is the Associate Editor of the American Chemical Society's Environmental Science & Technology Water and the Editorial Advisory Board member of Environmental Science & Technology. 

Professor C. P. Wong is the Charles Smithgall Institute Endowed Chair and Regents’ Professor. After his doctoral study, he was awarded a two-year postdoctoral fellowship with Nobel Laureate Professor Henry Taube at Stanford University. Prior to joining Georgia Tech, he was with AT&T Bell Laboratories for many years and became an AT&T Bell Laboratories Fellow in 1992. 

His research interests lie in the fields of polymeric materials, electronic packaging and interconnect, interfacial adhesions, nano-functional material syntheses and characterizations. nano-composites such as well-aligned carbon nanotubes, grahenes, lead-free alloys, flip chip underfill, ultra high k capacitor composites and novel lotus effect coating materials. 

He received many awards, among those, the AT&T Bell Labs Fellow Award in 1992, the IEEE CPMT Society Outstanding Sustained Technical Contributions Award in 1995, the Georgia Tech Sigma Xi Faculty Best Research Paper Award in 1999, Best MS, PhD and undergraduate Thesis Awards in 2002 and 2004, respectively, the University Press (London) Award of Excellence, the IEEE Third Millennium Medal in 2000, the IEEE EAB Education Award in 2001, the IEEE CPMT Society Exceptional Technical Contributions Award in 2002, the Georgia Tech Class of 1934 Distinguished Professor Award in 2004, Outstanding Ph.D. Thesis Advisor Award in 2005, the IEEE Components, Packaging and Manufacturing Technology Field Award in 2006, the Sigma Xi’s Monie Ferst Award in 2007, the Society of Manufacturing Engineers (SME)’s TEEM Award in 2008, the 2009 IEEE -CPMT David Feldman Outstanding Contribution Award and the 2009 Penn State University Distinguished Alumni Award. The 2012 International Dresden Barkhausen Award (Germany). 

He holds over 65 U.S. patents, numerous international patents, has published over 1000 technical papers, 12 books and a member of the National Academy of Engineering of the USA since 2000.

Nian Liu began as an Assistant Professor at Georgia Institute of Technology, School of Chemical and Biomolecular Engineering in January 2017. He received his B.S. in 2009 from Fudan University (China), and Ph.D. in 2014 from Stanford University, where he worked with Prof. Yi Cui on the structure design for Si anodes for high-energy Li-ion batteries. In 2014-2016, he worked with Prof. Steven Chu at Stanford University as a postdoc, where he developed in situ optical microscopy to probe beam-sensitive battery reactions. Dr. Liu 's lab at Georgia Tech is broadly interested in the combination of nanomaterials, electrochemistry, and light microscopy for understanding and addressing the global energy challenges. Dr. Liu is the recipient of the Electrochemical Society (ECS) Daniel Cubicciotti Award (2014) and American Chemical Society (ACS) Division of Inorganic Chemistry Young Investigator Award (2015).

Professor Nagi Gebraeel is the Georgia Power Early Career Professor and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his MS and PhD from Purdue University in 1998 and 2003, respectively.

Dr. Gebraeel's research interests lie at the intersection of Predictive Analytics and Machine Learning in IoT enabled maintenance, repair and operations (MRO) and service logistics. His key focus is on developing fundamental statistical learning algorithms specifically tailored for real-time equipment diagnostics and prognostics, and optimization models for subsequent operational and logistical decision-making in IoT ecosystems. Dr. Gebraeel also develops cyber-security algorithms intended to protect IoT-enabled critical assets from ICS-type cyberattacks (cyberattacks that target Industrial Control Systems). From the standpoint of application domains, Dr. Gebraeel has general interests in manufacturing, power generation, and service-type industries. Applications in Deep Space missions are a recent addition to his research interests, specifically, developing Self-Aware Deep Space Habitats through NASA's HOME Space Technology Research Institute.

Dr. Gebraeel leads Predictive Analytics and Intelligent Systems (PAIS) research group at Georgia Tech's Supply Chain and Logistics Institute. He also directs activities and testing at the Analytics and Prognostics Systems laboratory at Georgia Tech's Manufacturing Institute. Formerly, Dr. Gebraeel served as an associate director at Georgia Tech's Strategic Energy Institute (from 2014 until 2019) where he was responsible for identifying and promoting research initiatives and thought-leadership at the intersection of Data Science and Energy applications. He was also the former president of the Institute of Industrial and Systems Engineers (IISE) Quality and Reliability Engineering Division, and is currently a member of the Institute for Operations Research and the Management Sciences (INFORMS), and IISE (since 2005).