Lauren Garten joined the School of Material Science and Engineering as an assistant professor in Fall 2021. Her group focuses on developing new materials for energy and electronic applications, particularly at the nexus between ferroelectricity, ferromagnetism, electronics, and photovoltaics. 

Lauren received her B.S. in ceramic engineering from the Missouri University of Science and Technology. She then went on to earn a Ph.D. in material science from the Pennsylvania State University for her work on ferroelectric, piezoelectric, and dielectric synthesis and characterization with Prof. Susan Trolier-McKinstry. She then became a post-doc at the National Renewable Energy Laboratory working on metastable materials for energy applications. After a very short stint as a material scientist at Sandia National Laboratory, she won the NRC Research Associateship from the National Academies of Science, Engineering, and Math which was hosted at the U.S. Naval Research Lab (NRL). She then received the Jerome and Isabella Karle Distinguished Scholar Fellowship from NRL to work on lead-free multiferroic materials and devices.

Animesh Garg is a Stephen Fleming Early Career Assistant Professor at School of Interactive Computing at Georgia Tech. He leads the People, AI, and Robotics (PAIR) research group. He is on the core faculty in the Robotics and Machine Learning programs. Animesh is also a Senior Researcher at Nvidia Research. Animesh earned a Ph.D. from UC Berkeley and was a postdoc at the Stanford AI Lab. He is on leave from the department of Computer Science at University of Toronto and CIFAR Chair position at the Vector Institute.

Garg earned his M.S. in Computer Science and Ph.D. in Operations Research from UC, Berkeley. He worked with Ken Goldberg at Berkeley AI Research (BAIR). He also worked closely with Pieter Abbeel, Alper Atamturk & UCSF Radiation Oncology. Animesh was later a postdoc at Stanford AI Lab with Fei-Fei Li and Silvio Savarese.

Garg's research vision is to build the Algorithmic Foundations for Generalizable Autonomy, that enables robots to acquire skills, at both cognitive & dexterous levels, and to seamlessly interact & collaborate with humans in novel environments. His group focuses on understanding structured inductive biases and causality on a quest for general-purpose embodied intelligence that learns from imprecise information and achieves flexibility & efficiency of human reasoning.

Faces of Research - Profile Article

Victor Fung is an Assistant Professor in the School of Computational Science and Engineering. Prior to this position, he was a Wigner Fellow and a member of the Nanomaterials Theory Insitute in the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory. A physical chemist by training, Fung now works at the intersection of scientific artificial intelligence, computing, and materials science/chemistry.

Tom Fuller is Professor of Chemical Engineering at the Georgia Tech. Dr. Fuller received a BS from the University of Utah in Chemical Engineering in 1982. Dr. Fuller then served for five years in the U.S. Navy working as a Nuclear Engineer. In 1992 he obtained a Ph.D. from UC, Berkeley also in Chemical Engineering. 

Subsequently, Dr. Fuller developed advanced lithium batteries while working as a postdoctoral fellow at Lawrence Berkeley National Laboratory. He then moved to United Technologies. He was responsible for technology development, design, assembly, and test of cell stacks for UTC Fuel Cells. 

His research group at Georgia Tech is focused on durability challenges for electrochemical systems. For the last eight years Dr. Fuller has been a Technical Editor for the Journal of the Electrochemical Society. In 2009 Dr. Fuller was named a Fellow of the Electrochemical Society.

A primary goal of Professor First's research is to develop an understanding of solid-state systems at atomic length scales. The main experimental tools in this pursuit are scanning tunneling microscopy (STM) and related techniques such as ballistic electron emission microscopy (BEEM). These methods rely on the quantum-mechanical tunnel effect to obtain atomically-resolved maps of the electronic structure of surfaces, clusters, and buried layers.

Michael Filler is a professor and the Traylor Faculty Fellow in the School of Chemical and Biomolecular Engineering at the Georgia Institute of Technology. He earned his undergraduate and graduate degrees from Cornell University and Stanford University, respectively, prior to completing postdoctoral studies at the California Institute of Technology. Filler has been recognized for his research and teaching with the National Science Foundation CAREER Award, Georgia Tech Sigma Xi Young Faculty Award, CETL/BP Junior Faculty Teaching Excellence Award, and AVS Dorothy M. and Earl S. Hoffman Award. Filler also heads Nanovation, a forum to address the big questions, big challenges, and big opportunities of nanotechnology.

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.

During my research career I have observed “new” material systems develop and offer promise of wondrous device performance improvements over the current state of the art. Many of these promises have been kept, resulting in numerous new devices that could never have been dreamed of just a few short years ago. Other promises have not been fulfilled, due, in part, to a lack of understanding of the key limitations of these new material systems. Regardless of the material in question, one fact remains true: Without a detailed understanding of the electrical and optical interaction of electronic and photonic “particles” with the material and defect environment around them, novel device development is clearly impeded. It is not just a silicon world! Modern electronic/optoelectronic device designs (even silicon based devices) utilize many diverse materials, including mature dielectrics such as silicon dioxide/nitrides/oxynitrides, immature ferroelectric oxides, silicides, metal alloys, and new semiconductor compounds. Key to the continued progress of electronic devices is the continued development of a detailed understanding of the interaction of these materials and the defects and limitations inherent to each material system. It is my commitment to insure that new devices are continuously produced based on complex mixed family material systems.