Latest Past Events

Toward Collective Intelligence for Resource-Constrained Autonomous Vehicles

The Doubletree Club Orange County Airport 7 Hutton Centre Dr, Santa Ana

Speaker:  Prof. Marco Levorato, Professor in the Computer Science department at the University of California, Irvine   Date:   Wednesday, February 12, 2025   Time: Social Hour:  6:00 p.m. Dinner:          6:30 p.m. Presentation: 7:15 p.m.   Location: Lakeside Orange County Airport Hotel 7 Hutton Centre Drive, Santa Ana, CA, 92707-5794 714-751-2400 Please RSVP at https://www.eventbrite.com/e/toward-collective-intelligence-for-resource-constrained-autonomous-vehicles-tickets-1231738546149?aff=oddtdtcreator Cost: First 10 early-birds are free! After that, $20 for non-members with dinner, $10 for IEEE members with dinner, $5 for student-members with dinner, free for presentation only. For more information on current and future events, please visit Orange County ComSig chapter website at: http://comsig.chapters.comsoc.org   Abstract The practical deployment of autonomous, semi-autonomous and teleoperated vehicles in contested environments faces several technical challenges connected to the scarce communication and computing resources available to these systems. On the one hand, small vehicles - e.g., expendable and attritable UxVs - have obvious hardware, energy, and memory constraints that limit their ability to execute complex mission logics. On the other hand, offloading the execution of these logics to compute-capable devices requires the transmission of information-rich signals over capacity limited and volatile wireless channels. Similarly, larger vehicles face challenges in processing and fusing the large volume of data produced by the many onboard sensors needed to make them mission-capable in a broad range of conditions, as well as in transporting them to remote operators and control centers. In this talk, I will provide an overview of the techniques and frameworks that my research group developed to allow flexible, efficient and resilient distributed neural computing for robotic perception and autonomous navigation. Our approaches deeply integrate system solutions and machine learning to obtain practical frameworks deployable on real-world hardware platforms and applications.     Speaker Biography Marco Levorato is a Professor in the Computer Science department at the University of California, Irvine. He completed the PhD in Electrical Engineering at the University of Padova, Italy, in 2009. Between 2010 and 2012, he was a postdoctoral researcher Jointly at Stanford and the University of Southern California. Prof. Levorato’s research interests are focused on distributed computing over unreliable wireless systems, especially for autonomous vehicles and robotic applications. In this area of research, he has more than 170 papers in IEEE and ACM venues. His work received the best paper award at IEEE GLOBECOM (2012). He received the UC Hellman Foundation Award in 2016, the Dean mid-career research award in 2019, and the UCI Innovator Award in 2024. His research has been funded by the National Science Foundation, the Department of Defense, Intel and Cisco. In 2020-2021, he was the vice chair of the IEEE Technical Committee on Smart Grid Communications. He serves in the TPC of IEEE Infocom, IEEE Secon, IEEE Percom, IEEE ICDCS and ACM MobiHoc, is an editor of the IEEE/ACM Transactions on Networking, and was part of the organizing committee of several IEEE and ACM conferences.   Contact: IEEE OC ComSig Chapter Chair lan.nguyen@linquest.com Lan Nguyen, Ph.D.  

Running Deep Learning Models on Smartphones as Real-Time Apps for Signal and Image Processing Applications

The Doubletree Club Orange County Airport 7 Hutton Centre Dr, Santa Ana

Running Deep Learning Models on Smartphones as Real-Time Apps for Signal and Image Processing Applications Speaker:  Prof. Nasser Kehtarnavaz, Univ. of Texas at Dallas Date: Thursday, July 11, 2019 Time: Social Hour: 6:00 p.m. Dinner: 6:30 p.m. Presentation: 7:15 p.m. Location: The Doubletree Club Orange County Airport 7 Hutton Centre Drive, Santa Ana, CA, 92707-5794 714-751-2400 Please RSVP at http://oc-comsig.eventbrite.com/ Cost: First 10 early-birds (first-come-first-serve) are free! After that, $20 for non-members with dinner, $10 for IEEE members with dinner, $5 for student-members with dinner, free for presentation only For more information on current and future events, please visit Orange County ComSig chapter website at: http://comsig.chapters.comsoc.org/ Abstract: In many signal and image processing applications, deep learning models or deep neural networks have provided superior performance compared with conventional machine learning solutions. This talk covers how deep learning models can be turned into apps running in real-time on smartphones (both Android and iOS). One signal and one image processing application are presented. The image processing application involves real-time implementation of a deep learning model as a smartphone app to detect retinal abnormalities in an on-the-fly manner as retina images are captured by the smartphone camera through commercially available lenses. The motivation behind this application is to use smartphones as an alternative to fundus cameras providing a cost-effective and widely accessible approach to first-pass eye examination. The signal processing application involves real-time implementation of the speech processing pipeline of hearing aids as a smartphone app. The components of the implemented pipeline include a deep learning-based voice activity detection, noise reduction, noise classification, and compression. The motivation behind this application is to use smartphones as an open-source, programmable, and portable signal processing platform to conduct hearing enhancement studies in realistic audio environments. Speaker Biography: Prof. Nasser Kehtarnavaz is an Erik Jonsson Distinguished Professor with the Department of Electrical and Computer Engineering. His research interests include real-time signal and image processing, machine learning and deep learning, and biomedical signal and image analysis. He has authored or co-authored 10 books and over 380 journal papers, conference papers, patents, manuals, and editorials in these areas. He is a Fellow of IEEE, a Fellow of SPIE, a licensed Professional Engineer, and is serving as Editor-in-Chief of Springer Journal of Real-Time Image Processing. Questions: Dr. Lan Nguyen IEEE OC ComSig Chapter Chair lan.nguyen@linquest.com

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