I've started as a tenure-track Assistant Professor in the School of Computer Science at Georgia Tech in August 2019, transitioning from my postdoc at the University of California Berkeley, where I worked with Ion Stoica and collaborated closely with Joseph Gonzalez. I completed my Ph.D. at Carnegie Mellon University, advised by Gregory Ganger. At Carnegie Mellon, I was honored by the prestigious NSERC Alexander Graham Bell Canada Graduate Scholarship (NSERC CGS-D3) and partially funded by the Intel Science and Technology Centre for Cloud Computing and Parallel Data Lab. Prior to Carnegie Mellon, I worked on agile stateful VM replication with para-virtualization at the University of Toronto, where I worked with Eyal de Lara and Michael Brudno. My interest in cloud computing, datacenter operating systems, and programming the cloud brought me to the University of Toronto from industry, where I had been developing cluster middleware for distributed datacenter resource management.

Moinuddin Qureshi is a Professor of Computer Science at Georgia Tech. His research interests include computer architecture, memory systems, hardware security, and quantum computing. Previously, he was a research staff member (2007-2011) at IBM T.J. Watson Research Center, where he developed the caching algorithms for Power-7 processors. He is a member of the Hall of Fame for ISCA, MICRO, and HPCA. His research has been recognized with the best paper award at MICRO 2018, best paper award at HiPC 2014, and two awards (and three honorable mentions) at IEEE MICRO Top Picks. His ISCA 2009 paper on Phase Change Memory was awarded the 2019 Persistent Impact Prize in recognition of “exceptional impact on the fields of study related to non-volatile memories”. He was the Program Chair of MICRO 2015 and Selection Committee Co-Chair of Top Picks 2017.  He received his Ph.D. (2007) and M.S. (2003) from the University of Texas at Austin.

I am an Assistant Professor in the School of Computational Science and Engineering (CSE), Georgia Institute of Technology since January 2022. I received my PhD from the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Jian Peng. Prior to that, I received my bachelor’s degree in Computer Science from Yao Class at Tsinghua University in 2016.

I am broadly interested in computational biology and machine learning, with a focus on developing AI and data science methods to reveals core scientific insights into biology and medicine. Recent interests include deep learning, transfer learning, sequence and graph representation learning, network and system biology, functional genomics, cancer genomics, drug repositioning and discovery, and AI-guided biological design and discovery.

Ada Gavrilovska is an Associate Professor at the College of Computing and a researcher with the Center for Experimental Research in Computer Systems (CERCS) at Georgia Tech. Her interests include experimental systems, focusing on operating systems, virtualization, and systems software for heterogeneous many-core platforms, emerging non-volatile memories, large scale datacenter and cloud systems, high-performance communication technologies and support for novel end-user devices and services. Her research is supported by the National Science Foundation, the US Department of Energy, and industry grants, including from Cisco, HP, IBM, Intel, Intercontinental Exchange, LexisNexis, VMware, and others. She has published numerous book chapters, journal and conference publications, and edited a book “High Performance Communications: A Vertical Approach” (CRC Press, 2009). In addition to research, she also teaches courses on operating systems and high performance communications. She has a Bachelor's  in Computer Engineering from University Sts. Cyril and Methodius in Macedonia ('98), and a Master's ('99) and Ph.D. ('04) degrees in Computer Science from Georgia Tech.

Richard Fujimoto is a Regents’ Professor, Emeritus in the School of Computational Science and Engineering at the Georgia Institute of Technology. He received the Ph.D. degree from the University of California-Berkeley in 1983 in Computer Science and Electrical Engineering. He also received an M.S. degree from the same institution as well as two B.S. degrees from the University of Illinois-Urbana. 

Fujimoto is a pioneer in the parallel and distributed discrete event simulation field. Discrete event simulation is widely used in areas such as telecommunications, transportation, manufacturing, and defense, among others. His work developed fundamental understandings of synchronization algorithms that are needed to ensure the correct execution of discrete event simulation programs on high performance computing (HPC) platforms. His team developed many new algorithms and computational techniques to accelerate the execution of discrete event simulations and developed software realizations that impacted several application domains. For example, his Georgia Tech Time Warp software was deployed by MITRE Corp. to create online fast-time simulations of commercial air traffic to help reduce delays in the U.S. National Airspace. An active researcher in this field since 1985, he authored or co-authored three books and hundreds of technical papers including seven that were cited for “best paper” awards or other recognitions. His research included several projects with Georgia Tech faculty in telecommunications, transportation, sustainability, and materials leading to numerous publications co-authored with faculty across campus.

Greg Eisenhauer is a research scientist in the College of Computing at the Georgia Institute of Technology and Technical Director of the Center for Experimental Research in Computer Systems. His research focuses on data-intensive distributed applications in enterprise and high-performance systems. Technical topics of interest include: high-performance I/O for petascale machines; efficient methods for managing large-scale systems, techniques for runtime performance and behavior monitoring, understanding and control; middleware for high-performance data movement and in transit data processing, QoS-sensitive data streaming in pervasive and wide-area systems, and experimentation with representative applications in the high-performance computing and enterprise domains. He received the Bachelor's of Computer Science (1983) and a Master's of Computer Science (1985) from the University of Illinois, Urbana-Champaign. He received his Ph.D. from the Georgia Institute of Technology in 1998. His thesis work demonstrated object-based methods for efficient program monitoring and steering of distributed and parallel programs using event-based monitoring techniques and code annotations.

Maria Konte is a research scientist at the School of Computer Science at Georgia Tech and affiliated with its Institute for Information Security & Privacy. Her research is network security. Her work on network reputation as a measure to defend against cybercriminal infrastructures, appeared at ACM SIGCOMM15, and NANOG62 Research Track. She received the Passive and Active Measurement Conference Best Paper Award 2009 for her work on hosting infrastructures of malicious DNS domains. She received her Ph.D. in Computer Science from Georgia Tech in 2015. She holds an Master's in Systems Engineering from Boston University, and a Diploma in Eng. from the Industrial Engineering and Management Dept. at Technical University of Crete, Greece. She has interned at Damballa and Verisign Labs.

Calton Pu, Ph.D., is a Professor in the School of Computer Science, College of Computing at the Georgia Institute of Technology. His research interests are in the areas of distributed computing, Internet data management, and operating systems. His current projects fall under the areas of cloud computing (Elba) and big data (GRAIT-DM) research. Using experimental data from realistic benchmarks, the Elba project studies the  phenomena of very short bottlenecks that have large impact on N-tier system response time. The GRAIT-DM project collects real world data from social sensors (e.g., Twitter and YouTube) and physical sensors (e.g., USGS GSN and NASA TRMM) to detect physical events and manage real-time information on them. The sponsors for Pu's research include both government funding agencies such as the National Science Foundation, and companies from industry such as IBM, Intel, and Hewlett-Packard.  He is a co-director of Center for Experimental Research in Computer Systems (CERCS) and affiliate of the Institute for Information Security and Privacy (IISP) at Georgia Tech.  Pu has taught several courses in the areas of systems and databases. In Fall, he teaches CS4220/6235 Real-Time Embedded Systems. In spring, he teaches CS4365/6365 Introduction to Enterprise Computing.