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.

We are currently witnessing the birth of a new branch of astrophysics: high-energy astrophysics. With neutrinos we can study the high-energy Universe and peer into environments from where electromagnetic radiation can't escape. The IceCube neutrino observatory is a detector in operation at the geographic south pole. IceCube discovered, in 2013, an extragalactic flux of astrophysical neutrinos. Even though IceCube has identified two neutrino candidate sources: TXS 0506+056 (in 2018) and NGC 1068 (in 2022), the class of objects responsible for the astrophysical flux have not been unequivocally identified. Both these galaxies have Active Nuclei in which a supermassive black hole is being fed material via an accretion disk. Interestingly they are very different looking objects. TXS 0506+056 was seen with two flares of neutrinos and NGC 1068 is steady. TXS 0506+056 is seen mostly in ~50-200 TeV neutrinos, whereas NGC 1068 is seen in 1.5 to 15 TeV neutrinos. NGC 1068 is in our "neighboorhood" but TXS 0506+056 is very far away. 

The Taboada group uses IceCube data to search for astrophysical neutrino sources. Ignacio Taboada is the current spokesperson of the IceCube collaboration.

Dr. Hyesoon Kim received her Ph.D. degree in electrical and computer engineering from the University of Texas at Austin. Her research interests include high-performance energy-efficient computer architectures, programmer-compiler-architecture interaction, low-power high-performance embedded processors, and compiler and hardware support for dynamic optimizations, virtual machines, and binary instrumentation.

Gongjie Li is currently an assistant professor at the School of Physics at Georgia Tech. Her research interests include dynamics of exoplanets, dynamics of compact objects as gravitational wave sources, and interactions between supermassive black holes and surrounding stars.

Professor John Wise uses numerical simulations to study the formation and evolution of galaxies and their black holes. He is one of the lead developers of the community-driven, open-source astrophysics code Enzo and has vast experience running state-of-the-art simulations on the world’s largest supercomputers. He received his B.S. in Physics from the Georgia Institute of Technology in 2001. He then studied at Stanford University, where he received his Ph.D. in Physics in 2007. He went on to work at NASA’s Goddard Space Flight Center just outside of Washington, DC as a NASA Postdoctoral Fellow. Then in 2009, he was awarded the prestigious Hubble Fellowship which he took to Princeton University before arriving at Georgia Tech in 2011, coming back home after ten years roaming the nation.

Youjiang Wang joined Georgia Tech faculty in 1989. His research interests include mechanics of composites, yarns, fabrics, and geotextiles; manufacturing processes and characterization of fibers, textiles and textile structural composites; and fiber recycling. Wang is a registered Professional Engineer in the State of Georgia, and a Fellow of ASME.

Dr. Haesun Park is a Regents' Professor and Chair in the School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, U.S.A. She was elected as a SIAM Fellow in 2013 and IEEE Fellow in 2016 for her outstanding contributions in numerical computing, data analysis, and visual analytics. She was the Executive Director of Center for Data Analytics 2013-2015 and was the director of the NSF/DHS FODAVA-Lead (Foundations of Data and Visual Analytics) Center 2008-2014. She has published extensively in the areas of numerical computing, large-scale data analysis, visual analytics, text mining, and parallel computing. She was the conference co-chair for SIAM International Conference on Data Mining in 2008 and 2009 and an editorial board member of the leading journals in computational science and engineering such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Matrix Analysis and Applications, and SIAM Journal on Scientific Computing. She was the plenary keynote speaker at major international conferences including SIAM Conference on Applied Linear Algebra in 1997 and 2015, and SIAM International Conference on Data Mining in 2011. Before joining Georgia Tech, she was a professor in Department of Computer Science and Engineering, University of Minnesota, Twin Cities 1987- 2005 and a program director in the Computing and Communication Foundations Division at the National Science Foundation, Arlington, VA, U.S.A., 2003 - 2005. She received a Ph.D. and an M.S. in Computer Science from Cornell University, Ithaca, NY in 1987 and 1985, respectively, and a B.S. in Mathematics from Seoul National University, Seoul, Korea in 1981 with the Presidential Medal for the top graduate.

Dr. Andre Calmon is an Assistant Professor of Operations Management at Scheller College of Business, the co-director of Sustainable-X, and a Brook Byers Institute Faculty Fellow. Before joining Georgia Tech, he was an Assistant Professor of Operations Management at INSEAD.

Andre’s research uses data, analytics, and mathematical modeling to address sustainability and efficiency issues in innovative business models. More broadly, his research investigates how organizations can use analytics and business model innovation to generate positive social and environmental impact while increasing profits. His work has been published in premier management journals such as Management Science, Manufacturing & Service Operations Management, and Production and Operations Management.

Andre is a renowned educator, and his innovative pedagogy resulted in several award-winning new courses, case studies, and student-led ventures. In particular, the sustainability pedagogical material he developed was the Grand Prize winner of the Page Prize. Furthermore, Andre’s teaching fosters a “classroom-to-startup-to-research” pipeline, and much of his research examines new management challenges faced by startups founded by his former students.

Andre received a Ph.D. in Operations Research from MIT. He also holds an M.Sc. in Electrical Engineering from the Universidade Estadual de Campinas (Unicamp) and a B.Sc. in Electrical Engineering from the Universidade de Brasília (UnB).