Engineering in Medicine and Biology San Francisco
Dear members of the Engineering in Medicine & Biology Society
We formed a local chapter in San Francisco and our officers are:
Chair: Xiaorong Zhang, PhD, Assistant Professor in Intelligent Computing & Embedded Systems, San Francisco State University
Vice-Chair: Charles Koch, MBA, JD, Associate in Patent Litigation, Pepper Hamilton
Treasurer: Alex Matov, PhD, SMIEEE, Founder in Scientific Computing & Early Detection of Disease, DataSet Analysis
Secretary: Alexandre Coimbra, PhD, Principal Scientist in Clinical Imaging, Genentech
Below you will find information regarding our next meeting:
Talk: Alzheimer’s Disease Diagnosis at Early Stages and Non-Medication Treatment Options
Date: Wednesday, January 8th, 2020
Time: 6pm – 8pm (food catering 6-6:45pm, technical presentation 6:45-8pm)
Location: Spaces Works, 95 Third Street, San Francisco, CA 94103
Speaker: Zahra Kazem-Moussavi, Ph.D., Director of the Biomedical Engineering Program at the University of Manitoba, IEEE EMBS Distinguished Lecturer
Dr. Zahra Moussavi received her B.Sc. from Sharif University of Technology, Iran, M.Sc. from the University of Calgary, and Ph.D. from University of Manitoba, Canada in 1997, all in Electrical Engineering. She then joined the respiratory research group of the Winnipeg Children’s Hospital and worked as a research associate for 1.5 years. In 1999, she did her postdoctoral fellowship at the Biomedical Engineering Department of Johns Hopkins University. Following that, she joined the University of Manitoba, Department of Electrical and Computer Engineering as a faculty member, where she is currently a full professor, a Canada Research Chair in Biomedical Engineering and also the director of Biomedical Engineering Graduate Program. She is a member of Manitoba Heart and Stroke Advisory board and a research affiliate at Riverview Health Centre, as well as Aging Centre at University of Manitoba. She is a recipient of “Fiends of Riverview” honor from Riverview Health Center (2016), Canadian Academy of Engineering Fellowship (2015), IEEE-EMBS Distinguished Lecturer title (2013-2014) and “Women of Distinction Award” in Science and Technology (2014) from the YMCA and Manitoba Government as well as “Canada’s Most Powerful Women (Top 100) in Trailblazers and Trendsetters category (2014)”. With over 215 peer-reviewed publications in prestigious journals and conferences, her current research includes biological signal processing, diagnostic pattern recognition and medical devices instrumentation with applications on sleep apnea, and Alzheimer disease. Due to her work on acoustic diagnostic technologies for sleep apnea as well as her work on Alzheimer’s early detection and treatment, she has been recognized internationally and invited to speak frequently. She has given 78 invited talks/seminars (30 outside of Canada) including 2 Tedx Talk and 7 keynote speaker seminars at international conferences. She has supervised many graduate students; currently she has a team of 15 graduate students, one postdoctoral fellow, and several undergraduate students.
While in academia she is more recognized for her acoustic respiratory signal processing, in public she is more recognize for her work on Alzheimer’s disease diagnosis and treatment that she has a personal passion for. Aside from academic research work, she has created a series of brain exercises for aging population that are available on her website free of charge. She has also developed and offered an 8-week memory program for individuals 70+ y at Riverview Health Center.
Previous meetings in 2019:
Talk: Intelligent Ear-Level Devices for Hearing Enhancement and Health and Wellness Monitoring (IEEE SPS Distinguished Industry Speaker Talk)
With resurgence of AI and machine learning, sensor miniaturization and increased wireless connectivity, ear-level devices are going through a major revolution transforming themselves from hearing devices into hearing enhancement and health and wellness monitoring devices. In this talk, we will present examples of such transformation in the areas of hearing enhancement, health and wellness monitoring and user experience. In the process, we will highlight how AI and machine learning, miniaturized sensors and wireless connectivity are enabling and accelerating the transformation. In addition, we will discuss practical challenges for the transformation today. Finally, we will provide an outlook on future directions and opportunities.
Date: Thursday, May 9th, 2019
Time: 6:30pm – 8:30pm (registration, food, networking 6:30pm-7:00pm, technical presentation followed by Q&A 7:00pm-8:30pm)
Location: AMD, 2485 Augustine Dr, Santa Clara, CA 95054
Speaker: Tao Zhang, Ph.D., Director of Signal Processing Research Department, Starkey Hearing Technologies
Tao Zhang received his B.S. degree in physics from Nanjing University, Nanjing, China in 1986, M.S. degree in electrical engineering from Peking University, Beijing, China in 1989, and Ph.D. degree in speech and hearing science from the Ohio-State University, Columbus, OH, USA in 1995. He joined the Advanced Research Department at Starkey Laboratories, Inc. as a Sr. Research Scientist in 2001, managed the DSP department from 2004 to 2008 and the Signal Processing Research Department from 2008 to 2014. Since 2014, he has been Director of the Signal Processing Research department at Starkey Hearing Technologies, a global leader in providing innovative hearing technologies. He has received many prestigious awards including Inventor of the Year Award, the Mount Rainier Best Research Team Award, the Most Valuable Idea Award, the Outstanding Technical Leadership Award and the Engineering Service Award at Starkey.
He is a senior member of IEEE and the Signal Processing Society and the Engineering in Medicine and Biology Society. He serves on the IEEE AASP Technical Committee, the industrial relationship committee and the IEEE ComSoc North America Region Board. He is an IEEE SPS Distinguished Industry Speaker and the Chair of IEEE Twin-cities Signal Processing and Communication Chapter.
His current research interests include audio, acoustic, speech signal processing and machine learning; multimodal signal processing and machine learning for hearing enhancement, health and wellness monitoring; psychoacoustics, room and ear canal acoustics; ultra-low power real-time embedded system design and device-phone-cloud ecosystem design. He has authored and coauthored 120+ presentations and publications, received 20+ approved patents and had additional 30+ patents pending.
Register for this presentation here: eventbrite.com/e/intelligent-ear-level-devices-for-hearing-enhancement-and-health-and-wellness-monitoring-tickets-61077000954 meetings.vtools.ieee.org/m/198907
Previous meetings in 2018:
Talk: Protecting & Profiting from Your Intellectual Property
Date: Tuesday, June 26th, 2018
Time: 11:45am – 1:45pm (lunch catering 11:45am-12:30pm, technical presentation 12:30-1:45pm)
Location: Spaces Works Levi’s Plaza, 1160 Battery Street, Suite 100, San Francisco, CA 94111
Speaker: George Likourezos, MS, JD of Carter, DeLuca, Farrell & Schmidt
George Likourezos, Esq. is an IEEE member for over 25 years, and a partner at the intellectual property law firm of Carter, DeLuca, Farrell & Schmidt. He graduated from Polytechnic University (now NYU Tandon School of Engineering) with a Bachelor of Science in Electrical Engineering and a Master of Science in Operations Management. He has a Juris Doctor degree from Touro Jacob D. Fuchsberg Law Center, and is registered to practice with the U.S. Patent and Trademark Office. He has over 20 years’ experience representing startups, university, research institutions, and corporate clients, including many Fortune 100 companies, in intellectual property matters in fields including: AI, bioelectronics, cybersecurity, digital health, electrical engineering, electronics, electromechanical devices, life sciences, materials, medical devices, telecommunications, and computer-implemented inventions. His legal experience includes patent procurement and licensing, prosecuting patent applications, conducting due diligence investigations, rendering freedom to operate legal opinions, and representing clients in patent litigation proceedings.
Carter, DeLuca, Farrell & Schmidt (CDFS) is a leader in intellectual property law, Carter, DeLuca provides timely and cost-effective services to clients from around the world. CDFS provides their clients with guidance, clarity and direction in protecting innovations in a wide range of technologies.
Register for this presentation here: meetings.vtools.ieee.org/m/172795
Talk: Deep Learning Image Recognition of Alzheimer’s Disease
Date: Friday, May 4th, 2018
Time: 6:15pm – 8:15pm (social hour 6:15-7pm, technical presentation 7-8:15pm)
Location: The Bar Association of San Francisco, 301 Battery Street, 3rd Floor, San Francisco, CA 94111
Speaker: Saman Sarraf, MS, SMIEEE of Konica Minolta Laboratory USA
Abstract: Recently, the application of deep learning in recognizing dementia has been of interest to researchers. To extract patterns from neuroimaging data, various statistical methods and machine learning algorithms have been explored for the diagnosis of Alzheimer’s disease among older adults in both clinical and research applications; however, distinguishing between Alzheimer’s and healthy brain data has been challenging in older adults due to highly similar patterns of brain atrophy and image intensities. Deep learning architectures such as convolutional neural networks are designed to extract hierarchical features from data and perform classification through deep layers. The application of deep learning to recognize Alzheimer’s disease from normal healthy brains demonstrated a very high performance of classification using MRI and functional MRI data. This presentation outlines state-of-the-art deep learning-based pipelines employed to distinguish Alzheimer’s magnetic resonance imaging (MRI) and functional MRI (fMRI) from normal healthy control data for a given age group. Using these pipelines, which were executed on a GPU-based high-performance computing platform, the data were strictly and carefully preprocessed. Next, scale- and shift-invariant low- to high-level features were obtained from a high volume of training images using convolutional neural network (CNN) architecture.
Register for this presentation here: meetings.vtools.ieee.org/m/171618
Join our growing online community: linkedin/group/EMBS SF
Other recent IEEE events in San Francisco:
Meeting of the Executive Committee was held on September 13, 2018 meetings.vtools.ieee.org/m/173299
Meeting of the Communications Society was held on August 15, 2018 meetings.vtools.ieee.org/m/173293
Meeting of the Executive Committee was held on August 9, 2018 meetings.vtools.ieee.org/m/173298
Meeting of the Communications Society was held on July 18, 2018 meetings.vtools.ieee.org/m/173294
Meeting of the Executive Committee was held on July 12, 2018 meetings.vtools.ieee.org/m/173296
Meeting of the Executive Committee was held on June 14, 2018 meetings.vtools.ieee.org/m/173206
Meeting of the Executive Committee was held on May 10, 2018 meetings.vtools.ieee.org/m/170962
Meeting of the Executive Committee was held on March 29, 2018 meetings.vtools.ieee.org/m/170295
Meeting of the Communications Society was held on January 31, 2018 sf.chapters.comsoc