Statistics from SCA2024

Prof Jack Dongarra specializes in numerical algorithms in linear algebra, parallel computing, advanced computer architectures, programming methodology, and tools for parallel computers. He holds appointments at the University of Manchester, Oak Ridge National Laboratory, and the University of Tennessee. In 2019, he received the ACM/SIAM Computational Science and Engineering Prize. In 2020, he received the IEEE-CS Computer Pioneer Award. In 2021, he received the ACM A.M. Turing Award for his pioneering contributions to numerical algorithms and software that have driven decades of extraordinary progress in computing performance and applications. He is a fellow of the AAAS, ACM, IEEE, and SIAM, as well as a foreign member of the British Royal Society, the U.S. National Academy of Sciences, and the U.S. National Academy of Engineering.

Mr Charlie Catlett is a Senior Computer Scientist at the U.S. Department of Energy’s Argonne National Laboratory and a Visiting Scientist at the University of Chicago. His research focuses on building cyberinfrastructure to integrate high-performance computing with embedded edge-AI in urban, environmental, and emergency sensing and response settings. Prior to joining Argonne in 2000, Mr Catlett was Chief Technology Officer at the National Center for Supercomputing Applications (NCSA). As part of the team that established NCSA in 1985, he led NCSA’s efforts in networking research and the deployment and operation of the NSFNET backbone network, an early component of the Internet. After joining Argonne and UChicago in 2000, he created “I-WIRE,” one of the first regional fiber optic networks for research and education in the U.S.

Dr Rajeeb Hazra has more than three decades of experience in supercomputing, quantum, and technical roles across the globe. Prior to joining Quantinuum, he served as the General Manager, Compute and Networking Business Unit at Micron Technologies, and spent 25 years at Intel Corporation, leading the Enterprise and Government Group, Technical Computing Group, Supercomputer Architecture and Planning, and Systems Technology Research. Before joining Intel, Dr Hazra was with the Lockheed Corporation based at NASA’s Langley Research Center. He prides himself on building high-performing teams with a growth mindset and a culture of truth and transparency. Dr Hazra has a Ph.D. and Master’s degree in Computer Science from the College of William and Mary in Virginia, U.S., as well as a Bachelor’s degree in Computer Science from Jadavpur University in Kolkata, India, and holds 16 patents.

Professor Jingbo Wang established and currently leads the Research Centre for Quantum Information, Simulation and Algorithm that fosters collaboration and entrepreneurship, bringing together academics and industrial partners to develop innovative quantum solutions to tackle otherwise intractable problems and complex phenomena. Wang and her team were among the first to demonstrate the power of quantum walks in extracting local and global information of complex networks, in finding optimal and high-quality solutions to a wide range of combinatorial optimization problems, in speeding up machine learning and image processing, and in exploring fundamental structures and symmetries in nature. Widely published in prestigious journals like Nature Photonics, Science Advances, and Physical Review Letters, her contributions have significantly advanced quantum computing and laid the foundation for future breakthroughs.

Professor Wang is also a co-founding director of the Australian Quantum Software Network Limited, director of the UWA-Pawsey Educational Quantum Computing Centre, Chair of the IEEE Quantum on Consumer Technology Technical Committee, chief quantum computing advisor to the WAWEB3 not-for-profit association, a member of College of Experts for the Australian Research Council, among several other notable positions. Professor Wang has played a pivotal role in developing a comprehensive suite of quantum computing lecture courses offered at the undergraduate, masters, and PhD levels. Her leadership significantly contributes to the educational advancement and integration of quantum computing expertise within the academic realm. In addition, Professor Wang serves as the Co-Director of Quantum Girls, an Australian Federal Government-funded project aimed at encouraging more girls and women throughout Australia to explore careers in quantum science, specifically in quantum computing.