Keynote Speakers

Pamela Guevara
Universidad de Concepción, Chile

Talk: Diffusion MRI tractography: principles and applications

Abstract: Diffusion Magnetic Resonance Imaging (dMRI) is a non-invasive neuroimaging technique that maps the structure of white matter (WM) by characterizing the diffusion of water molecules in tissue. Tractography, derived from dMRI data, enables the reconstruction of 3D representations of WM fiber pathways, allowing the study of both well-known bundles and previously unidentified fascicles across individuals. This lecture will provide an overview of dMRI acquisition and preprocessing pipelines, followed by a review of key methods for analyzing structural brain connectivity using tractography. We will also discuss some example applications in neuroimaging research

Bio: Pamela Guevara is an Electronics Engineer of the Universidad de Concepción, Chile, and Master and PhD in Medical Image Analysis from Université Paris-Sud, Fance. She is currently a Full Professor in the Department of Electrical Engineering at Universidad de Concepción, specializing in Biomedical Engineering, and the Director of the PhD in Engineering of the Faculty of Engineering  at the same University. Her research focuses on developing tools for studying brain connectivity using diffusion magnetic resonance imaging and tractography, and she has extensive experience in image processing and scientific visualization across various fields, including neuroscience and biomedicine. She is a Senior Member of the IEEE and currently serves as a Distinguished Lecturer of the IEEE Engineering in Medicine and Biology Society (EMBS).

Elkim Felipe Roa Fuentes
Samsung Semiconductor Inc.

Talk: Accelerating Secure Computing for IoT Sensors

Abstract: Security in IoT sensors has focused on cryptography-based but has failed to consider System-on-Chip (SoC) interoperability during side-channel, and physical attacks, as they concentrate solely on standalone behavior. This talk will discuss SoC security solutions that shield a SoC against supply voltage and physical attacks while apprising SoC interoperation. Along with the supply monitoring shields, this talk will present an efficient AES-256b encryption module accelerator, a physical unclonable function, and a true random number generator as SoC peripheral instances.

Bio: Elkim received his Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2014, where he was a Fulbright Scholar, his M.S degree from the University of São Paulo, São Paulo, Brazil, and his bachelor’s degree in Electrical Engineering from Universidad Industrial de Santander, Colombia. He is currently a SoC Architect in Samsung Semiconductor Inc. working on computing acceleration for 4G/5G modems systems. Prior to Samsung, he has worked with Rambus Inc. and GlobalFoundries on high-speed communications, systems engineering for projects solving communications bandwidth and computing bottlenecks. He was an Associate Professor at Universidad Industrial de Santander from 2016 to 2021. His research interests include SoC architecture, high-speed interfaces, computing acceleration, and efficient AI computing.