Past Meetings/Webinars

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

— how deep learning models can be turned into apps running in real-time on smartphones

IEEE Orange County Communications Society and Signal Processing Society (ComSig) Chapter
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Meeting Date: July 11, 2019
Time: 6:00 PM Networking; 6:30PM Food; 7:15 PM Presentation
Speaker: Prof. Nasser Kehtarnavaz, Department of Electrical and Computer Engineering, University of Texas
Location: Santa Ana,
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
RSVP: requested, through website
Event Details: Event

Summary: 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.

Bio: Prof. Nasser Kehtarnavaz is an Erik Jonsson Distinguished Professor with the Department of Electrical and Computer Engineering at the University of Texas. 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.

Active Learning and Optimization for Next Generation Communication Networks 🗓

–, beam alignment in mmWave communications; data-driven and empirical optimization for wireless network parameter tuning

IEEE Orange County Communications Society and Signal Processing Society (ComSig) Chapter
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Meeting Date: June 24, 2019
Time: 6:00 PM Networking; 6:30PM Food; 7:15 PM Presentation
Speaker: Prof. Tara Javidi, ECE Dpt. UC San Diego
Location: Santa Ana,
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
RSVP: requested, through website
Event Details: Event

Summary: Network management and configuration is an essential attribute of any wireless network with reliable self-tuning capabilities. In contrast to the past generations of networking solutions, on the other hand, in the ever-increasingly mobile and large-scale networks of tomorrow the network reconfiguration overhead may not be insignificant; this includes the initial beam alignment, link maintenance, spectrum sensing, packet resizing, etc. Our work aims to provide fundamental limits on the overhead associated with learning, network tuning, and optimization of network parameters. Our approach relies on the theory of active learning and optimization to quantify the networking overhead and utilizes recent data analytic and machine learning algorithms to develop practical learning/optimization algorithms.

In the first part of the talk, we consider the problem of search and optimization of the directional link establishment and maintenance (beam alignment) in mmWave communications. In the second part of the talk, we consider an important variant of the search problem: data-driven and empirical optimization for wireless network parameter tuning.

For more information on current and future events, please visit Orange County ComSig chapter website at: http://comsig.chapters.comsoc.org

Bio: Tara Javidi received her BS in electrical engineering at Sharif University of Technology, Tehran, Iran. She received her MS degrees in electrical engineering (systems) and in applied mathematics (stochastic analysis) from the University of Michigan, Ann Arbor, in 1998 and 1999, respectively. She received her Ph.D. in electrical engineering and computer science from the University of Michigan, Ann Arbor, in 2002.
From 2002 to 2004, Tara Javidi was an assistant professor at the Electrical Engineering Department, University of Washington, Seattle. In 2005, she joined the University of California, San Diego, where she is currently a professor of electrical and computer engineering. In 2013-2014, she spent her sabbatical at Stanford University as a visiting faculty. At the University of California, San Diego, Tara Javidi is a founding co-director of the Center for Machine-Integrated Computing and Security, directs the Advanced Networking Science Lab and is a faculty member of the Centers of Information Theory and Applications (ITA), Wireless Communications (CWC), and Networked Systems (CNS). She is a founding faculty member of HALICIOĞLU DATA SCIENCE INSTITUTE (HDSI) at UCSD. At UCSD, she is an affiliate faculty member in the departments of Computer Science and Engineering as well as Ethnic Studies. She is also a member of Board of Governors of the IEEE Information Theory Society (2017/18/19).

Advances in Deep Learning for Medical Imaging 🗓

— explore several different ways in which the current generation of deep learning applications can be advanced

IEEE–OC EMBS Chapter
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Meeting Date: July 29, 2019
Time: 6:30 PM Networking & Food; 7:00 PM Presentation
Speaker: Peter D. Chang, MD of Co-Director, Center for Artificial Intelligence in Diagnostic Medicine UCI Health | Dept. of Radiologic Sci.
Location: Irvne
Cost: none
RSVP: requested, through website
Event Details: IEEE vTools

Summary: Despite the growing popularity of deep learning neural networks for various medical imaging applications, the vast majority of algorithms to date represent early proof-of-concept designs that will require a degree of evolution before achieving practical clinical utility. In this talk, we explore several different ways in which the current generation of deep learning applications can be advanced including:

(1) Reformulating the question: in medicine, there are often times more than one way to ask the same question—how do we reformulate a task in a way that both maximizes clinical utility and also best leverages the strength of various deep learning algorithms?

(2) Customizing deep learning algorithms: what are the unique technical challenges posed by medical imaging data and how we design custom deep learning architectures to account for them?

(3) Clinical implementation: what are some practical experiences learned from implementing deep learning tools in the clinical setting, and what are some regulatory hurdles that will need to be considered?

Bio: Dr.Chang’s unique perspective as both a physician and software engineer allows him to lead a team of engineers, data scientists, and clinicians to combine state-of-the-art techniques in machine learning with an intuitive understanding of the image interpretation process as a human radiologist. His work has yielded many collaborative efforts with principal investigators in multiple clinical specialties as well as many imaging departments across the United States and leadership roles in national and international organizations such as the American Society of Neuroradiology, Radiological Society of North America, and the International Society for Magnetic Resonance in Medicine. His software algorithms have been granted provisional patents and won multiple awards, including a first-place finish at the international 2016 MICCAI grand challenge for automated analysis of brain tumors. He has pursued a dedicated year of research in deep learning at the University of California San Francisco.

His primary insights arise from the ability to customize deep learning algorithms to the unique properties and goals of medical imaging data. He has extensive experience with the fundamental tools of deep learning including Python and Tensorflow, and has successfully written customized software for distributed file systems and GPU servers to process large-scale datasets including one million mammograms, 50,000 chest ICU films and 20,000 head CTs. In addition, he has broad expertise with the entire medical image processing pipeline including PACS networking and DICOM manipulation to efficiently generate large anonymized databases. He has integrated these databases into a customized web-based platform for efficient viewing and fast, large-scale annotation of medical images. Recently, his work has included the development of a novel hybrid 3D/2D architecture for detection of hemorrhage on non-contrast head CT, recording human-like performance at over 97% accuracy in a cohort of over 10,000 CTs [2]; this work was received the Cornelius G. Dyke Award for best scientific paper by an assistant professor (or below) in AJNR during 2017-18.

vTools & Collabratec Training 🗓

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Webinar Date: Jun 19, 2019
Time: 5:00 PM (PT)
Location: on the Web
Cost: none
RSVP: required
Event Details & Registration: Register
Summary: This IEEE volunteer tools (vtools) site [http://http://sites.ieee.org/vtools/] provides information on a wide range of tools developed by volunteers for IEEE members and IEEE volunteers. The toolbox simplifies organizational efforts and administration by offering web-based software in order to reduce time spent on managing local activities and to assist in member development.

Blockchain Legal Forum 🗓

IEEE San Diego Section
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Meeting Date: June 19, 2019
Time: 5.:00 PM Networking & Food; 6:00 PM Panel and Presentation
Speaker: Panel, plus Sheppard Mullin’s Jim Gatto
Location: UC San Diego
Cost: none
RSVP: requested, through website
Event Details: IEEE vTools

Summary:
The San Diego IEEE Blockchain Group is hosting San Diego’s first Blockchain Legal Forum. The Blockchain Legal Forum is an event designed to integrate the fields of law and technology for a discussion about blockchain technology and its effect on legal frameworks and policy. The event will first feature a networking portion with various technology companies and law firms representing themselves as part of this growing community. Then there will be a panel featuring recognized thought leaders for a discussion on the types of challenges that existing legal frameworks are facing with introduction of blockchain and the types of issues on the horizon. The event will conclude with a keynote presentation from Sheppard Mullin’s Jim Gatto, a legal expert in blockchain, who will provide a macro perspective on crytptocurrency, blockchain, and the possible legal solutions they may enable.

“Integrative Medical Massage – Integrative therapies to release chronic tight muscle & scar tissue!” 🗓

— a new innovative approach that successfully treats chronic muscle tightness,

IEEE San Diego Section
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Meeting Date: June 11, 2019
Time: 6:00 PM Networking & Food; 6:40 PM Presentation
Speaker: Ms. Maryann Burcar of RejuVitize
Location: San Diego
Cost: none
RSVP: requested, through website
Event Details: IEEE vTools

Summary: Join us, for an interesting look into a new innovative approach that successfully treats chronic muscle tightness, lingering pain or scar tissue of the neck, shoulders, arms, wrists, back, hips, legs, knees, ankles and feet.

Integrative Medical Massage is a customized, integrative approach that combines effective bodywork techniques to relieve musculoskeletal problems. The individualized treatment may include Rolf Structural Integration, Tui Na, smooth stainless-steel tool work, stretch cupping or Stephenson’s method. Combining these methods, make it possible to get to the root of the problem, speed up the healing process and bring about long-lasting relief for the patient.

This will be a fun learning event that will bring up questions about why your body is causing you pain, chronic tightness or limited range of motion. And will offer a practical, medication-free, long lasting solution to correct the problem. If you or someone you know has annoying pain, tightness or chronic restriction of movement in the body, and are fed up with temporary medication or relief therapies, then this presentation is for you.

Bio: Maryann Burcar is the sole proprietor of RejuVitize, an integrative medical massage clinic located just off the I-15 freeway at Miramar Road, in San Diego, CA

She previously earned a BS and MS degree in electrical engineering (magnetics) and worked in the wireless and communications design industry for 21 years. During that time, she developed a chronically tight “frozen” neck & shoulder problem that eventually got so bad that she could only turn her head about 20 degrees to either side. The medical doctors only offered to inject it full of Botox, but without addressing the root cause she knew this would not be a long-term solution.

She searched everywhere for help and finally walked into an integrative medicine clinic. Skeptical, but fed up with her annoying neck issues, she agreed to have the therapy done. The practitioner used these tools on her neck and shoulder area and after only 4 return visits, she could turn her head to both sides with full range of motion. It was almost as if there had never been a restriction or problem there at all!

So, while still working full time in engineering, she went back to college and earned the degree and certifications that would allow her to help others with chronic tightness, scar tissue or joint problems.

Maryann still enjoys working in engineering and does some technical consulting but, considers her second, exciting career working with anatomy, physiology, kinesiology and integrative medicine to be a new, interesting challenge.

Computer vision, deep learning and big data: opportunities and challenges 🗓

=– overview of our lab’s current work in computer vision that span a broad range of applications, from cybersecurity and media forensics to camera networks and activity recognition

IEEE Central Coast Section
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Meeting Date: June 19, 2019
Time: 6:00 PM Networking & Food; 6:30 PM Presentation
Speaker: Distinguished Professor B.S. Manjunath of UCSB ECE
Location: Goleta
Cost: none
RSVP: requested, through website
Event Details: IEEE vTools

Summary: The past few years have seen an AI revolution, mainly fueled by the resurgence of neural networks aided by significant advances in computing hardware. I will give an overview of our lab’s current work in computer vision that span a broad range of applications, from cybersecurity and media forensics to camera networks and activity recognition. The fundamental problems that cut across these applications are feature extraction and matching, and one can train neural networks to learn these effectively when large amounts of data is available. At the same time, these neural networks are quite brittle, and could be easily fooled. I will provide some recent results in understanding the stability of such networks. The presentation will conclude with an overview of BisQue, an open source scalable platform for scientific image analysis that was developed in our lab. BisQue evolved as part of our work microscopy imaging, but now is used in applications ranging from life science and medicine to marine sciences and materials science.

Bio: Professor B.S. Manjunath received the Ph.D. degree in Electrical Engineering from the University of Southern California and is currently a Distinguished Professor of Electrical and Computer Engineering at the University of California, Santa Barbara and Director of the Center for Multimodal Big Data Science and Healthcare. His group has been at the forefront of scalable image analytics, having pioneered methods for image search and retrieval that have been incorporated into the ISO/MPEG7 standard. His group has contributed extensively to steganography, image and video segmentation, distributed camera networks, activity recognition, and most recently in image/video forensics and cybersecurity. He co-founded Mayachitra, Inc., a small business based in Santa Barbara that focuses on AI and computer vision. He has published over 300 articles that are highly cited in the literature and is a co-inventor on 24 patents. He has supervised 42 PhD theses at UCSB. He is a fellow of the IEEE and a fellow of the ACM.

IEEE OC YP June Boba Night 🗓

— Come hear how to utilize your time to do what you love while growing your network and personal brand!

OC IEEE YP and UCI IEEE
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Meeting Date: June 4, 2019
Time:
7:00 – 7:30: Check in & get dinner if needed in the UTC plaza
7:30 – 8:00: Boba provided for IEEE members with complimentary appetizers for everyone
8:00 – 9:00: Board game time with digital games like Jackbox Party 3 and physical games like One Night Werewolf

Location: Irvine, California Address is for Le Diplomate Cafe but we don’t meet inside due to space restrictions, come look for us at the tables across from the cafe!
Cost: none
RSVP: requested, through website
Event Details: IEEE vTools
Summary:
Meet new friends and grow your network with tasty boba tea and delicious appetizers! We grill food and make our own boba drinks at the tables under the white canopy at University Trade Center by UC Irvine. Whether you’re an EECS student looking to meet professionals, a young professional looking to grow their network or general IEEE member in the area, we’ll have something for you, even if you don’t like boba! Come hear how to utilize your time to do what you love while growing your network and personal brand! In this case, it’s with boba, brunch and BBQ as the chairman of OC IEEE YP presents how those three loves help connect IEEE students, YPs and members of the community.