Helen Xu comes to Georgia Tech from Lawrence Berkeley National Laboratory where she was the 2022 Grace Hopper Postdoctoral Scholar. She completed her Ph.D. at MIT in 2022 with Professor Charles E. Leiserson. Her main research interests are in parallel and cache-friendly algorithms and data structures. Her work has previously been supported by a National Physical Sciences Consortium fellowship and a Chateaubriand fellowship. She has interned at Microsoft Research, NVIDIA Research, and Sandia National Laboratories. 

Josiah Hester works broadly in computer engineering, with a special focus on wearable devices, edge computing, and cyber-physical systems. His Ph.D. work focused on energy harvesting and battery-free devices that failed intermittentently. He now focuses on sustainable approaches to computing, via designing health wearables, interactive devices, and large-scale sensing for conservation. 
   
His work in health is focused on increasing accessibility and lowering the burden of getting preventive and acute healthcare. In both situations, he designs low-burden, high-fidelity wearable devices that monitor aspects of physiology and behavior, and use machine learning techniques to suggest or deliver adaptive and in-situ interventions ranging from pharmacological to behavioral. 
   
His work is supported by multiple grants from the NSF, NIH, and DARPA. He was named a Sloan Fellow in Computer Science and won his NSF CAREER in 2022. He was named one of Popular Science's Brilliant Ten, won the American Indian Science and Engineering Society Most Promising Scientist/Engineer Award, and the 3M Non-tenured Faculty Award in 2021. His work has been featured in the Wall Street Journal, Scientific American, BBC, Popular Science, Communications of the ACM, and the Guinness Book of World Records, among many others.

Professor Citrin earned a B.A. from Williams College (1985) and a M.S. (1987) and a Ph.D. (1991) from the University of Illinois, all in physics, where his dissertation was on the optical properties of semiconductor quantum wires. Subsequently, he was a post-doctoral research fellow at the Max Planck Institute for Solid State Research, Stuttgart, Germany (1992-1993) and Center Fellow at the Center for Ultrafast Optical Science at the University of Michigan (1993-1995). Dr. Citrin was an assistant professor of physics and materials science at Washington State University (1995 to 2001).

Professor Citrin joined the faculty at Georgia Tech in 2001 where his work focuses on terahertz technology and nanotechnology. He is a recipient of a Presidential Early Career Award for Scientists and Engineers and of a Friedrich Bessel Award from the Alexander Von Humboldt Stiftung. In addition, he is Project Coordinator on Nonlinear Optics and Dynamics at Georgia Tech-CNRS UMI 2958 located at Georgia Tech-Lorraine. Professor Citrin’s research in terahertz imaging is featured in the Georgia Tech press release, ”Imaging Technique Unlocks the Secrets of 17th Century Artists"; a list of some media placements from the press release may be found at http://photonics.georgiatech-metz.fr/node/33.

Research interests: 

• Terahertz nondestructive testing of materials
• Terahertz characterization of art and cultural heritage
• Chaos and nonlinear dynamics in external-cavity semiconductor lasers
• Nanophotonics
• High-speed electronic, photonic, and optoelectronic devices
• Nonlinear optical properties of semiconductor materials and devices

Tushar Krishna is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech. He also holds the ON Semiconductor Junior Professorship. He has a Ph.D. in Electrical Engineering and Computer Science from MIT (2014), a M.S.E in Electrical Engineering from Princeton University (2009), and a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT) Delhi (2007). Before joining Georgia Tech in 2015, Krishna spent a year as a researcher at the VSSAD group at Intel, Massachusetts.

Krishna’s research spans computer architecture, interconnection networks, networks-on-chip (NoC) and deep learning accelerators – with a focus on optimizing data movement in modern computing systems. Three of his papers have been selected for IEEE Micro’s Top Picks from Computer Architecture, one more received an honorable mention, and three have won best paper awards. He received the National Science Foundation (NSF) CRII award in 2018, a Google Faculty Award in 2019, and a Facebook Faculty Award in 2019 and 2020.

David V. Anderson received the B.S and M.S. degrees from Brigham Young University and the Ph.D. degree from Georgia Institute of Technology (Georgia Tech) in 1993, 1994, and 1999, respectively. He is currently a professor in the School of Electrical and Computer Engineering at Georgia Tech. Anderson's research interests include audio and psycho-acoustics, machine learning and signal processing in the context of human auditory characteristics, and the real-time application of such techniques. His research has included the development of a digital hearing aid algorithm that has now been made into a successful commercial product. Anderson was awarded the National Science Foundation CAREER Award for excellence as a young educator and researcher in 2004 and the Presidential Early Career Award for Scientists and Engineers in the same year. He has over 150 technical publications and 8 patents/patents pending. Anderson is a senior member of the IEEE, and a member the Acoustical Society of America, and Tau Beta Pi. He has been actively involved in the