Seminars

Communicating with the brain enables us to advance our understanding of brain function, treat disorders, restore lost function, and when combined with artificial cognitive frameworks, can push the frontier of human capabilities. Key to realizing brain communication and replicating cognition are new computer architectures– systems that directly sense and stimulate the brain, and those capable of running complex cognitive frameworks. In this talk, I will present recent work on the first brain-computer interfacing platform, SCALO, that can sense, process and stimulate neural activity from…

Emerging platforms such as Augmented Reality (AR), Virtual Reality (VR), and autonomous machines, while are of a computing nature, intimately interact with both the environment and humans. They must be built, from the ground up, with principled considerations of three main components: imaging, computer systems, and human perception. This talk will make a case for this tenet and discuss some of our recent work on this front.

I will first talk about in-sensor visual computing, the idea that co-designing the image sensor with the computer systems will significantly improve the…

Network intelligence deals with situations where a group of intelligent agents such as autonomous vehicles (AVs) need to coordinate, cooperatively plan, and execute a task. This concept could be broken down into two main interdependent categories including situational awareness and decision-making. Accurate “Situational Awareness” is a key component for reliable and safe group decision-making. Relying on only onboard sensor suites of individual agents is not sufficient for this purpose, due to its inherent restrictions, like limited detection range and non-line-of-…

Emerging applications that interact heavily with the physical world (e.g., robotics, medical devices, the internet of things, augmented and virtual reality, and machine learning on edge devices) present critical challenges for modern computer architecture, including hard real-time constraints, strict power budgets, diverse deployment scenarios, and a critical need for safety, security, and reliability. Hardware acceleration can provide high-performance and energy-efficient computation, but design requirements are shaped by the physical characteristics of the target electrical, biological,…

Autonomous driving has shown great potential to reform modern transportation. Yet its reliability and safety have drawn a lot of attention and concerns. Compared with traditional software systems, autonomous driving systems (ADSs) often use deep neural net works in tandem with logic-based modules. This new paradigm poses unique challenges for software testing. Despite the recent development of new ADS testing techniques, it is not clear to what extent those techniques have addressed the needs of ADS practitioners. To fill this gap, we have published a series of works and…