Shaping Tomorrow

Biographies

We will be adding biographies of the ISC 2020 Chairs and Track Leaders as they become available.

 

KEREN BERGMAN
Keren Bergman
Keren Bergman
Charles Batchelor Professor 
of Electrical Engineering,
Columbia University

Keren Bergman is the Charles Batchelor Professor of Electrical Engineering at Columbia University where she also serves as the Faculty Director of the Columbia Nano Initiative. Prof. Bergman received the B.S. from Bucknell University in 1988, and the M.S. in 1991 and PhD in 1994 from M.I.T. all in Electrical Engineering. At Columbia, Bergman leads the Lightwave Research Laboratory encompassing multiple cross-disciplinary programs at the intersection of computing and photonics. Bergman serves on the Leadership Council of the American Institute of Manufacturing (AIM) Photonics leading projects that support the institute’s silicon photonics manufacturing capabilities and Datacom applications. She is a Fellow of the Optical Society of America (OSA) and IEEE.

Hans-Joachim Bungartz
Hans-Joachim Bungartz
Hans-Joachim Bungartz
Professor of Informatics and Mathematics 
Technical University of Munich (TUM)

Hans-Joachim Bungartz is a Professor of Informatics and Mathematics at Technical University of Munich (TUM) and holds the Scientific Computing chair in TUM’s Informatics Department. After having earned degrees in Mathematics and Informatics from TUM, he became Associate Professor of Mathematics at University of Augsburg, then Full Professor of Informatics at University of Stuttgart, and returned to TUM in 2005. Since 2013, he has been both Dean of Informatics and TUM Graduate Dean, with responsibility of doctoral education TUM-wide. Dr. Bungartz has served on various editorial, advisory, or review boards. From 2006 to 2013, he chaired the Commission for IT Infrastructure of the German Research Foundation (DFG). In 2011, he became Chairman of the German National Research and Education Network (DFN). Furthermore, he is a board member of Leibniz Supercomputing Center. In 2016, he was appointed to the steering committee of the Council for Doctoral Education of the European University Association. His research interests are where Scientific Computing, CSE, and HPC meet. This includes parallel computing, hardware-aware numerics, high-dimensional problems, and aspects of HPC software, with a broad range of applications. Most of his projects are interdisciplinary ones – e.g., he is one of the coordinators of DFG’s Priority Program SPPEXA.

SUNITA CHANDRASEKARAN
Sunita Chandrasekaran
Sunita Chandrasekaran
Assistant Professor, 
Department of Computer Science,
University of Houston

Sunita Chandrasekaran is an Assistant Professor with the Department of CIS, Affiliated with the Center for Bioinformatics and Computational Biology (CBCB) and holds an Adjunct position with the Department of Computer Science at the University of Houston. Prior to joinging UDEL, she was a postdoctoral researcher at the Dept. of Computer Science at the University of Houston, Texas, advised by Prof. Barbara Chapman. Her Ph.D. is on Tools and Algorithms for High-Level Algorithm Mapping to FPGAs, School of Computer Science and Engineering, Nanyang Technological University, 2012.

RYUSUKE EGAWA
Ryusuke Egawa
Ryusuke Egawa
Associate Professor, 
Cyberscience Center,
Tohoku University

Ryusuke Egawa is currently an associate professor of Cyberscience Center, Tohoku University. His research interests include high-performance computing and computer architecture. He received the B.E. degree, Master Degree on information sciences from Hirosaki University in 1999, 2001, respectively, and the PhD degree on information sciences from Tohoku University in 2004. He is a member of IEEE CS, IEICE, and IPSJ.

TORSTEN HOEFLER
Torsten Hoefler
Torsten Hoefler
Professor of Computer Science, 
ETH Zurich

Torsten Hoefler directs the Scalable Parallel Computing Laboratory (SPCL) at D-INFK ETH Zurich. He received his PhD degree in 2007 at Indiana University and started his first professor appointment in 2011 at UIUC. Torsten has served as the lead for performance modeling and analysis in the US NSF Blue Waters project at NCSA/UIUC. Since 2013, he is professor of computer science at ETH Zurich and has held visiting positions at Argonne National Laboratories, Sandia National Laboratories, and Microsoft Research Redmond (Station Q). Dr. Hoefler's research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also active in the application areas of Weather and Climate as well as Machine Learning focusing on Distributed Deep Learning. In those areas, he has coordinated tens of funded projects and an ERC Starting Grant on Data-Centric Parallel Programming.

GUIDO JUCKELAND
Guido Juckeland
Guido Juckeland
PhD in Computer Science,
Helmholtz-Zentrum, 
Dresden-Rossendorf (HZDR)

Guido Juckeland heads the Computational Science Group at Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany. He is responsible for designing and implementing end-to-end research IT-workflows together with scientists and IT experts at HZDR. As a result, the group is supporting the digitalization efforts of the scientists both at HZDR and the Helmholtz Association as whole with respect to publishing high quality software and data sets alongside the traditional papers and articles. The group is operating an agile development platform with a highly diverse farm of continuous integration (CI) servers and provide training and workshops. Guido earned his PhD in computer science from Technische Universität Dresden, Germany, for his work on trace-based performance analysis for hardware accelerators.

DAVID KEYES
David Keyes
David Keyes
PhD in Applied Mathematics,
Extreme Computing Research Center, 
KAUST

David Keyes directs the Extreme Computing Research Center at the King Abdullah University of Science and Technology (KAUST), where he was the founding Dean of the Division of Mathematical and Computer Sciences and Engineering in 2009 and currently serves in the Office of the President as Senior Associate for international collaborations and institutional partnerships. He works at the interface between parallel computing and the numerical analysis of PDEs, with a focus on scalable implicit solvers. Newton-Krylov-Schwarz (NKS) and Additive Schwarz Preconditioned Inexact Newton (ASPIN) are methods he helped name and is helping to popularize. Before joining KAUST as a founding dean in 2009, he led multi-institutional scalable solver software projects in the SciDAC and ASCI programs of the US DOE, ran university collaboration programs at LLNL’s ISCR and NASA’s ICASE, and taught at Columbia, Old Dominion, and Yale Universities. He is a Fellow of SIAM, AMS, and AAAS, and has been awarded the ACM Gordon Bell Prize, the IEEE Sidney Fernbach Award, and the SIAM Prize for Distinguished Service to the Profession. He earned a BSE in Aerospace and Mechanical Sciences from Princeton in 1978 and a PhD in Applied Mathematics from Harvard in 1984.

MASAAKI KONDO
Masaaki Kondo
Masaaki Kondo
Associate Professor,
Graduate School of Information Science and Technology, 
The University of Tokyo

Masaaki Kondo is an associate professor at Graduate School of Information Science and Technology, The University of Tokyo. He is also working at the RIKEN Center for Computational Science as the team reader of Next Generation High Performance Architecture Research Team where he is researching a next generation high performance computer architecture as well as strategies to improve power efficiency of exascale supercomputer systems. He received a Ph.D. from The University of Tokyo, Japan in 2003, an M.S. in Engineering from University of Tsukuba, Japan in 2000 and a B.S. in Information Engineering in 1998. He has published 34 journals, 37 refereed international conference papers and 14+ refereed international workshop papers in the area of computer architecture, high performance computing, VLSI design, and embedded systems, with focusing on low-power and high-performance microprocessor design, power management for high performance supercomputer systems, and dependable cluster systems. He has been committed to serve IEEE/ACM conferences related to high performance computing and architectures. He has served on several technical program/track chairs and 40+ program committees for international conferences and workshops.

LAURA SCHULZ
Laura Schulz
Laura Schulz
Leibniz Supercomputing Centre (LRZ)

Laura Schulz is responsible for strategic development at the Leibniz Computing Centre (LRZ) in Garching, Germany, in the field of future-oriented computer technologies, in particular exascale, artificial intelligence and quantum computing. Specifically, she works to establish cohesion and cadence across various efforts including HPC hardware and software co-design, research portfolio design, integrated service offerings, user analysis and profiling, and predictive needs assessment. With and for the director, she builds and maintain key partnerships with vendors and alliances with regional and international ecosystem partners, solidify objectives, apply analysis and develop insights. Prior to joining LRZ in August 2017, she was Director of Marketing Communications at the HPC Innovation Center at Lawrence Livermore National Laboratory in the US.

MARTIN SCHULZ
Martin Schulz
Martin Schulz
Professor in Computer Architecture and Parallel Systems,
TU Munich

Martin Schulz is a Full Professor and Chair for Computer Architecture and Parallel Systems at the Technische Universität München (TUM) from 2017. Prior to that, he held positions at the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL) and Cornell University. He earned his Doctorate in Computer Science in 2001 from TUM and a Master of Science in Computer Science from UIUC. Martin has published over 200 peer-reviewed papers and currently serves as the chair of the MPI Forum, the standardization body for the Message Passing Interface. His research interests include parallel and distributed architectures and applications; performance monitoring, modeling and analysis; memory system optimization; parallel programming paradigms; tool support for parallel programming; power-aware parallel computing; and fault tolerance. Martin was a recipient of the IEEE/ACM Gordon Bell Award in 2006 and an R&D 100 award in 2011.