Neuroimaging is entering a new era of unprecedented scale and complexity. Soon, we will have datasets including brain images from more than 100,000 individuals. The fundamental challenges in analyzing and exploiting these data are going to be computational. Today, widely-used traditional neuroimage analysis tools, such as FreeSurfer or FSL, are computationally demanding and offer limited flexibility, while cutting-edge tools based … Read More

For medical devices that need to be implanted or positioned inside the human body to deliver a therapy, size and functionality are among the most important parameters, affecting key aspects of the device, such as feasibility, level of invasiveness, side effects, and safety, ability to reach the desired anatomical target, and efficacy in carrying out intended functions, such as imaging, … Read More

Object localization aims at finding the locations of existing objects in an image or a video. It serves as a crucial step when machines need to understand an image (or a video) deeper. For example, to understand the relationship between objects, their locations are helpful. With deep learning techniques, the performance of object localizers has been largely improved, given sufficient … Read More

Karan Motwani is an IT Leader with 17+ years of experience in consulting, architecture, engineering, and strategic leadership roles. He has worked with companies from Europe, Latin America, Asia, Middle East and the United States on supply chain and finance solutions. From this experience, he brings an entrepreneurial perspective, and an ability to work across business and engineering on Blockchain … Read More

Hardware plays a critical role in today’s security landscape. Every protocol with security or privacy guarantees inevitably includes some hardware in its trusted computing base. The increasing number of vulnerability disclosures calls for a more rigorous approach to secure hardware designs. In this talk, I will present several cryptographic primitives to enhance the security of hardware. I will first discuss the use of Physically Obfuscated Keys (POK) to strengthen the … Read More

Random matrices have become a very active area of research in the recent years and have found enormous applications in modern mathematics, physics, engineering, biological modeling, and other fields. In this work, we focus on symmetric sign (+/-1) matrices (SSMs) that were originally utilized by Wigner to model the nuclei of heavy atoms in mid-50s. Assuming the entries of the … Read More

The ability to discover physical laws and governing equations from data is one of humankind’s greatest intellectual achievements. A quantitative understanding of dynamic constraints and balances in nature has facilitated rapid development of knowledge and enabled advanced technology, including aircraft, combustion engines, satellites, and electrical power. There are many more critical data-driven problems, such as understanding cognition from neural recordings, … Read More

Until recently the conventional wisdom was that proposing a new chip startup in the US was a bad bet. Recently that perception has changed. There are dozens of startups that have found funding for new chip architectures that perform neural network computations much faster while consuming less power than general purpose CPUs.  In fact, over 1.5 billion dollars in venture … Read More

Autonomous systems, such as self-driving cars, are becoming tangible technologies that will soon impact the human experience. However, the desirable impacts of autonomy are only achievable if the underlying algorithms can handle the unique challenges humans present: People tend to defy expected behaviors and do not conform to many of the standard assumptions made in robotics. To design safe, trustworthy autonomy, we must transform how intelligent systems interact, influence, and predict human … Read More

Maxwell’s equations are responsible for explaining the fundamental operating principles behind most of today’s technology. In this talk, we will explore how understanding and controlling electromagnetic fields can lead to significant impact across a multitude of applications over a wide frequency range on the electromagnetic spectrum. Starting from the low-frequency end of the spectrum, I will present the design and implementation of a new integrated magnetic biosensor. The magnetic biosensor is … Read More