Morning Session (8am - 12pm)
08:00 - 08:15
08:15 - 09:15
Gururaj Saileshwar and Mohammadkazem Taram
09:15 - 10:30
Chris Fletcher, Yufei Ding, Daniel Jimenez, Cathy Bareiss
10:30 - 11:00
11:00 -12:00
Sharad Malik
Lunch 12:00 - 13:00
Afternoon Session 1:00 - 5:00 PM
13:00 - 13:15
13:15 - 14:00
Adrian Sampson
14:00 - 15:00
Samira Khan
15:00 - 15:30
15:30 - 16:30
Gilles Pokam
16:30 - Onward
Resources: Presenter Slides
Gururaj Saileshwar is an incoming Assistant Professor in Computer Science, University of Toronto (starting Fall 2023). His research focuses on improving the security for computing hardware and systems. His work has been awarded an IEEE HOST Best PhD Dissertation Award, an IEEE MICRO Top Picks Honorable Mention, and been supported in part by a GT IISP Cybersecurity Fellowship and a GT ECE Bourne Fellowship.
Mohammadkazem is an assistant professor in the Department of Computer Science at Purdue University. He received his PhD. degree from the Department of Computer Science and Engineering (CSE) at the University of California San Diego (UCSD) in 2022. His research interests are in computer architecture and computer security. In particular, he is interested in microarchitectural attacks, high-performance mitigations, and architecture support for security and privacy. He has won several awards, including MICRO Top Picks, etc.
Chris Fletcher is an assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign.
Yufei Ding joined the Department of Computer Science (with a joint appointment in the Department of Electrical & Computer Engineering), University of California at Santa Barbara as an Assistant Professor in Nov 2017. She received her Ph.D. in Computer Science from North Carolina State University, and B.S. and M.S. in Physics from University of Science and Technology of China and the College of William and Mary, respectively. Her research interests lie in the broad fields of domain-specific language design, architecture and compiler optimization, and hardware acceleration. Her current research focuses on building high-performance, energy-efficient, and high- fidelity programming frameworks for emerging technologies such as quantum computing, machine learning, and deep learning. She is a recipient of NSF CAREER Award (2020), IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing (2019), NCSU Computer Science Outstanding Dissertation Award (2018), NCSU Computer Science Outstanding Research Award (2016), and Distinguished Paper Award at OOPLSA (2020). Yufei Ding is the founder of PICASSO Lab. She also co-directs the SEAL lab with Dr. Yuan Xie.
Daniel A. Jiménez is a Professor in the Computer Science and Engineering Department at Texas A&M University. His research is in microarchitecture and the interaction between the compiler and the microarchitecture. He has done a lot of work in branch prediction and cache management. He is known for inventing the perceptron branch predictor as well as for other research. He was elevated to IEEE Fellow in 2021 for my work in branch prediction. He recently won the B. Ramakrishna Rau award "for contributions to neural branch prediction in microprocessors." Before he came to Texas A&M he was Professor and Department Chair in the CS department at UT San Antonio.
Masters at Purdue
Ph.D. at Illinois Institute of Technology
Teaching at PUI for over 35 years
Received NSF grant to develop a course
ABET program evaluator
Taught overseas in South Korea for a year
Did summer research 2 times at the Kennedy Space Center
Graded AP CS exams many years
Very involved in CCSC (national organization that hosts regional CS conferences for PUI)
Sharad Malik is the George Van Ness Lothrop Professor in Engineering at Princeton University. Sharad is broadly interested in designing computing systems that are functionally correct and secure. His work combines system design with mathematical modeling and analysis techniques for proving functional correctness and security properties for these systems. We do this through studying new modeling techniques as well as algorithms for correctness proofs. Most recently my research has focused on developing the Instruction-Level Abstraction (ILA) model for scalable systems-on-chip design and verification. In the past, his group has worked on efficient solvers for Boolean Satisfiability problems (SAT and MAX-SAT) which are fundamental techniques used in system verification and other applications.
Adrian is an associate professor in the Department of Computer Science at Cornell University, where he is a part of the Computer Systems Laboratory and the programming languages group. He graduated from the University of Washington in 2015.
Samira Khan is an Associate Professor at the Computer Science Department in the University of Virginia (UVa). Her research group at UVa -- Shiftlab, is motivated to introduce a paradigm shift by redesigning and building the software-hardware stack for our future systems. Her group puts a significant effort in building new tools, artifacts, and frameworks for emerging technologies. Currently, she is on leave at the newly formed group, Systems Research at Google (SRG), leading the system-on-chip (SoC) expedition to solve the fundamental software-hardware design challenges at scale. She hosts “Happy Hour with Architects”, where prominent people from academia and industry discuss and debate research trends and directions in computer architecture and systems.
Gilles Pokam is a Principal Engineer at Intel Labs, in Silicon Valley. His research focuses on microarchitecture, but he also has a broad interest in adjacent topics such as software, systems and security. His current research interests include designing compute systems for emerging applications in the cloud or datacenter and developing new mechanisms and tools to help application developers and system builders better understand performance at scale.