Rapid, Efficient, and Robust Neuroimage Analysis with Deep Neural Networks

Mert R. Sabuncu Electrical and Computer Engineering Cornell University AbstractBioNeuroimaging 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 … Read More

Cutting Edge Examples of Medical Device-on-a-Chip

Maysam Ghovanloo, PhD GT-Bionics Lab, School of Electrical and Computer Engineering Georgia Institute of Technology AbstractBioFor 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 … Read More

Object Localization with Deep Learning Techniques

Siyang Li Ming Hsieh Department of Electrical Engineering at University of Southern California AbstractBioObject 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 … Read More

Developing Blockchain Solutions Beyond Cryptocurrency

Karan Motwani Manager Application Development, Starbucks Coffee Company AbstractBio Fundamentals for Blockchain – highlighting key differences between few Blockchain platforms Considerations when developing Blockchain solutions with emphasis on Ethereum Components required to deploy a fully functioning Blockchain solution Evaluating use cases which can benefit from Blockchain implementation Challenges around Blockchain technology and its future ahead Karan Motwani is an IT … Read More

Cryptographic Primitives for Hardware Security

Ling Ren MIT CSAIL AbstractBioHardware 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) … Read More

Deterministic Random Matrices

Ilya Soloveychik School of Engineering and Applied Sciences Harvard University AbstractBioRandom 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 … Read More

Data-Driven Discovery and Control of Nonlinear Systems

Steven Brunton University of Washington AbstractBioThe 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 … Read More

The Explosion in Neural Network Chips

Trevor Mudge Michigan AbstractBioUntil 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 … Read More

Trustworthy Autonomy: Algorithms for Human-Robot Systems

Katherine Driggs-Campbell Stanford Intelligent Systems Laboratory Stanford University AbstractBioAutonomous 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 … Read More

From DC to Daylight: Harnessing Electromagnetic Fields for Bioelectronics, Wireless Communications, and Silicon Photonics

Dr. Constantine Sideris Caltech AbstractBioMaxwell’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 … Read More