We’re pleased to give details on our three Keynote Speakers

“Modern Radio Interferometric Imaging Challenges: From MeerKAT Towards the SKA”
Prof. Oleg Smirnov, Rhodes University (5 MB PDF)
Summary: I will give an overview of the interferometric imaging problem, from basic principles and the classic CLEAN algorithm, to modern treatments of deconvolution and direction-dependent effects (DDEs) in imaging algorithms. I will show how the high sensitivities and large data rates of new telescopes such as MeerKAT turn this into a formidable computational challenge, and what this landscape looks like as we approach the SKA.
Prof. Oleg Smirnov joined Rhodes in April 2012 to take up the new SKA Research Chair in RATT. Prior to joining Rhodes, he spent over 12 years as a researcher and software developer at the Netherlands Institute for Radio Astronomy (ASTRON). His research interests span many areas including the development of new radio interferometric techniques and calibration methods, development of the MeqTrees system for simulation and calibration of radio interferometers, as well as ionospheric modeling and flagging tools. He was also involved in the early days of the LOFAR telescope, and with the last days of the AIPS++ project (which was later revived as the CASA system).

“Designing Computer Systems for Software 2.0”
Prof. Kunle Olukotun, Stanford University
Summary: Employing Machine Learning to generate models from data is replacing traditional software development in many applications. This fundamental shift in how we develop software is known as Software 2.0. However, the continued success of Software 2.0 relies on the availability of powerful, efficient and flexible computer systems. This talk will introduce a design paradigm that exploits the characteristics of Software 2.0 to create computer systems that are optimized for both programmability and performance. The key to the design paradigm is a full-stack approach that integrates algorithms, domain-specific languages, advanced compilation technology and new hardware architectures.
Kunle Olukotun is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is well known as a pioneer in multicore processor design and the leader of the Stanford Hydra chip multipocessor (CMP) research project. Olukotun founded Afara Websystems to develop high-throughput, low-power multicore processors for server systems. The Afara multicore processor, called Niagara, was acquired by Sun Microsystems. Niagara derived processors now power all Oracle SPARC-based servers. Olukotun currently directs the Stanford Pervasive Parallelism Lab (PPL), which seeks to proliferate the use of heterogeneous parallelism in all application areas using Domain Specific Languages (DSLs). Olukotun is a member of the Data Analytics for What’s Next (DAWN) Lab which is developing infrastructure for usable machine learning. Olukotun is an ACM Fellow and IEEE Fellow for contributions to multiprocessors on a chip and multi-threaded processor design and is the recipient of of the 2018 IEEE Harry H. Goode Memorial Award. Olukotun received his Ph.D. in Computer Engineering from The University of Michigan.

“Cognitive Vision Systems: Assisting Persons with Visual Impairments”
Prof. Vijay Narayanan, Pennsylvania State University
Summary: The human vision system understands and interprets complex scenes for a wide range of visual tasks in real-time while consuming less than 20 Watts of power. This talk will focus on holistic design of machine vision systems that have the potential to approach and eventually exceed the capabilities of human vision systems. The talk will focus on the design of an assistive technology for persons with visual impairment. It will also showcase recent advances in distributed intelligent systems.
Vijay Narayanan is a Robert Noll Chair Professor of Computer Science and Engineering and Electrical Engineering at The Pennsylvania State University. He is the PI of the NSF Expeditions-in-Computing Program on Visual Cortex on Silicon and a thrust leader for the JUMP Center on Brain-Inspired Computing. He has published more than 400 papers and won several awards in recognition of his research in power-aware systems, embedded systems and computer architecture. He is a fellow of IEEE and ACM.