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Archive for the ‘2017’ Category

Workshop on Fuzzy Similarity on December 11, 2017

Sunday, June 4th, 2017

IEEE CTS ComSoc/SP/CS/EMBS is collaborating with Texas State University,  School of Engineering on Senior Design Activity event  at San Marcus and offer a workshop on Fuzzy Similarity.

For the recent decades, we have seen rapid progress on hardware and intelligent applications. These bundled systems are widely dependent on traditional Artificial Intelligence techniques such as neural nets and deep learning. However, with a chip that can contain a billion of transistors, it is time to build a “massively parallel array processor” on such a chip. The massively parallel array processor can be used to implement the nearest neighbor (most fuzzy similar) classifiers for the recognition and classification problem, and the function computation model. That is, fuzzy similarity measurements can be used to find the nearest neighbor.

The modern CPU’s “functional programming model” is limited by the need to build functions that are denoted by expressions. The fuzzy-similarity-based function computation model is different. Given x, it searches the most fuzzy similar neighbor m of x and takes the function value f(m) of m as the function value f(x) of x.  This computation model is fundamentally a table-look-up approach. Previously, we did not try this model because a computer CPU is limited. Now, a chip can contain a billion of transistors. Also, we have seen the tremendous growth in silicon photonic circuits.  Therefore, it is time to try this function computation model.

Topics in the 2017 International Workshop on Fuzzy Similarity include but are not limited to the following:

  • Feature Extractions and Fuzzy Similarity Measurements.
  • Applications of   Fuzzy Similarity in image recognition, moving object detection, image description, time data classification, function computation model, self-driving car, natural language processing,  health care, genome, virtualization, and big data analysis.
  • Hardware and Platforms: Massively Parallel Array Processor, FPGA, IC Chips with a massive number of transistors, and OpenCL for heterogeneous computing platforms.
  • MEMS (Micro Electro Mechanical System) or Silicon Photonic circuits for massively parallel processors.

We welcome your participation and contribution. If you wish to present, please send a quick message to Dr. CL Chang nicesoft2009@gmail.com  or  f.behmann@ieee.org

2017 ComTech Innovation Summit in Health and Wellness, September 6, 2017

Sunday, June 4th, 2017

The ComTech Innovation  one day Summit provides vision,  breakthrough in innovation, technology impact & regulatory challenges related to health with smart connected medical devices and wearables, remote monitoring & management, data analytics and AI and assess impact and influence towards precision and personalization.

Suggested Topics:

  • Global healthcare challenges, vision, roadmap to smart connected healthcare system for personalized services.
  • Monitoring, diagnostics, surgical, emergency care
  • Preventive and Precision Medicine
  • mHealth Innovations
  • Healthcare innovations: Wireless devices, systems, services
  • Use of technology such as sensors, Wireless, LTE-5G,  IoT,  virtualization, cloud-based big data/analytics and security in delivering ecosystem solutions
  • Medical and Healthcare Data Communication, Security, Privacy
  • Regulatory challenges

We welcome your participation and support. If you wish to present or help, please send a quick message to f.behmann@ieee.org.

“Bringing True Full Duplex Communications to Life: Promises and Challenges”

Saturday, May 27th, 2017

Special Session – June 15

 

IEEE ComSoc/SP join chapters along with EMBS/CS would like to invite you to attend a special session on

 

Bringing True Full Duplex Communications to Life: Promises and Challenges”

 

Presenter: Mr. Hardik Jain, VP of Engineering, GenXComm Inc.

 

Date: 15 June 2017

Time: 06:00 PM to 08:00 PM Central

Location: AT&T Labs,  9505 Arboretum  Austin, Texas

 

RSVP 

https://meetings.vtools.ieee.org/m/45673

 

Abstract

Wireless is a broadcast medium, one radio’s transmission can be received at multiple locations in its range. This creates an interference region where other transmissions at the same frequency are prohibited due to potential collisions and interference. Current radios generally either take turns to transmit and receive or use different frequency to transmit and receive to avoid interference from the transmitter at their own receiver. In this talk, we will discuss the most desired way of transmission in wireless networks, full duplex transmissions. Full duplex radios can listen to the transmission from other radios while concurrently transmitting data from their own transmitter without needing any orthogonality. This unique capability at the front-end of the physical layer enables host of benefits at L1 and L2 layer to massively improve the data carrying capacity of the link and the network. We will first discuss the key principle technology that allows simultaneous transmission and reception. Subsequently, we will discuss the use cases / transmission scenarios where this technology can improve the capacity of networks without changing the existing standards and the user equipment. In the end, we will conclude the talk with the impact of full duplex technology as it becomes the part of next generation standards.

 

Bio

Hardik Jain received B.E. degree in electrical engineering from the Birla Institute of Technology and Science (BITS), Pilani in 2011 and the M.S. degree in electrical engineering from The University of Texas at Austin in 2015. He is a graduate student currently working towards the Ph.D. degree in electrical engineering at The University of Texas at Austin. His research interest includes full duplex wireless transmission, design of wireless communication systems and coding theory. His work on full duplex radios and self-interference cancelation technology is being commercialized to build a product at GenXComm Inc. where he serves as the VP of Engineering. His former industry experience includes work at Texas Instruments, Bangalore in 2011 and Broadcom India Research, Bangalore from 2011 – 2013.

…………………………..

Seats are limited. Please RSVP

Free F&B

………………………….

For more information   Contact

email f.behmann@ieee.org

Chair ComSoc/SP and EMBS/CS Austin Chapters

 

A System of Systems Framework for Autonomy, Big Data Analytic, Machine Learning and Cloud Infrastructure

Saturday, May 6th, 2017
Topic/Title A System of Systems Framework for Autonomy, Big Data Analytic, Machine Learning and Cloud Infrastructure
Speaker Prof. Mo Jamshidi, Ph.D., DEgr. (h.c.) Fellow, IEEE, ASME, AAAS, TWAS, NYAS, AF, AIAA Lutcher Brown Endowed Chaired Professor Member, UT System Chancellor’s Council Department of Electrical and Computer Engr. University of Texas San Antonio, TX

Mo M. Jamshidi (Fellow IEEE, Fellow ASME, A. Fellow-AIAA, Fellow AAAS, A. Fellow TWAS, Fellow NYAS) received BS in EE, Oregon State University, Corvallis, OR, USA in June 1967, the MS and Ph.D. degrees in EE from the University of Illinois at Urbana-Champaign, IL, USA in June 1969 and February 1971, respectively. He holds honorary doctorate degrees from the University of Waterloo, Canada, 2004 and Technical University of Crete, Greece, 2004. Currently, he is the Lutcher Brown Endowed Distinguished Chaired Professor at the University of Texas, San Antonio, TX, USA. He has been an advisor to NASA (including 1st MARS Mission), USAF, USDOE and EC/EU (Brussels). He has over 750 technical publications including 68 books (12 text books), research volumes, and edited volumes in English and a few foreign languages. He is the Founding Editor or co-founding editor or Editor-in-Chief of 5 journals including IEEE Control Systems Magazine and the IEEE Systems Journal. He is currently Editor-in-Chief of Intelligent Automation and Soft Computing published by Taylor & Francis in UK. e is an Honorary Professor at three Chinese Universities (Nanjing and Xi�an), Deakin University (Australia), Birmingham University and Loughbrough University (UK), and Obuda University (Hungary). In October 2005 he was awarded the IEEE�s Norbert Weiner Research Achievement Award. He is a member of the University of the Texas System Chancellor�s Council since 2011. In his two research laboratories with 25 graduate students, he is currently involved in research on system of systems engineering with emphasis on cloud computing, robotics, UAVs, bioinformatics and sustainable energy systems. He has close to 9000 citations on Scholar Google.

Abstract Large data has been accumulating in all aspects of our lives for quite some time. Advances in sensor technology, the Internet, wireless communication, and inexpensive memory have all contributed to an explosion of �Big Data�. System of Systems (SoS) are integration of independent operatable and non-homogeneous legacy systems to achieve a higher goal than the sum of the parts. Today�s SoS are also contributing to the existence of unmanageable �Big Data�. Recent efforts have developed promising approach, called �Data Analytics�, which uses machine learning tools from statistical and soft computing (SC) such as principal component analysis (PCA), clustering, fuzzy logic, neuro-computing, evolutionary computation, Bayesian networks, deep architectures and deep learning, etc. to reduce the size of �Big Data� to a manageable size and apply these tools to a) extract information, b) build a knowledge base using the derived data, and c) eventually develop a non-parametric model for the �Big Data�. This keynote attempts to construct a bridge between SoS and Data Analytics to develop reliable models for such systems.  A photovoltaic energy forecasting problem of a micro grid SoS, traffic jams forecasting and a system of autonomous vehicles will be offered for case studies. These tools will be used to extract a nonlinear Model for a SoS-generated BIG DATA. Videos for autonomous vehicles will be shown.
Date/Time 23 February 2017
Time: 06:00 PM to 08:00 PM
Location AT&T Labs
9505 Arboretum
Austin, Texas
Cost
Reservations https://events.vtools.ieee.org/m/43227
Notes Joint meeting for Austin IEEE COMSOC/SP AND EMBS/CS Chapters

A WEARABLE MICROWAVE-BASED BREAST CANCER DETECTION SYSTEM

Saturday, May 6th, 2017
Speaker Dr. Joshua D. Schwartz, Associate professor in the Engineering Science department at Trinity University in San Antonio, Texas

Joshua D. Schwartz was born in Montreal, Canada in 1980. He received his bachelor’s degree in 2003 and his Ph.D. in 2008, both from McGill University (Montreal) in electrical engineering. His dissertation work was carried out in the Photonics Systems Group at McGill under the supervision of Dr. David Plant. He carried out post-doctoral work from 2008-2010 with the Institut National de la Recherche Scientifique (INRS) in Montreal, Canada under the supervision of Dr. José Azaña.

He is currently (2010-) an associate professor in the Engineering Science department at Trinity University in San Antonio, Texas. He continues to actively collaborate in the microwave area and has interests in passive and active hardware design, analog circuits and signal processing, and the use of microwaves for medical imaging applications.

Dr. Schwartz was distinguished as the top graduating student in his program at McGill for both his bachelor’s and doctoral degrees, in the latter case receiving the Governor General’s Gold Medal, considered the highest academic honor in Canada bestowed upon a graduating scholar by an academic institution. He has authored or coauthored over 35 publications in scientific journals and peer-reviewed conference proceedings. Dr. Schwartz received the 2009 IEEE Microwave Prize for a paper on fully-electronic temporal imaging (a.k.a. “time-stretch”) systems that did not use optical techniques. He also received in 2008 the Award of Excellence of the Academy of Great Montrealers for his dissertation work in this area. Recently (2016), Trinity University honored him with the Junior Faculty Award for Teaching and Scholarship.

Abstract The gold standard for breast cancer screening is the mammogram, and yet this technology has key drawbacks. It is unpleasant and uncomfortable for the patient. It exposes patients to ionizing radiation and thus can only be used infrequently. It is a high-cost piece of clinical hardware that is neither portable nor easily deployed in remote or ill-equipped locations. There have been a number of efforts this past decade to seek alternative imaging and detection modalities. Our research group, like several others, has investigated the use of low power microwaves to interrogate the breast tissues. Unlike other groups, however, our team has focused on translating this concept away from benchtop hardware to a potentially portable, low-cost device that can be integrated into a bra. Our vision is of a “bra-and-laptop” system with costs controlled to the low 4-digit range and the potential to monitor the breast health of patients frequently, cheaply, comfortably, and anywhere. In this talk, I will discuss our team’s progress towards this goal with an emphasis on my own efforts to improve the hardware aspects of such a system.
Date/Time 19 April 2017
06:00 PM to 08:00 PM
Location 9505 Arboretum
Austin, Texas
United States 78729
Building: AT&T Labs
Room Number: #220
Cost
Reservations https://events.vtools.ieee.org/m/44271
Notes Joint Computer/EMBS and ComSoc Chapter Meeting

Preparing for 5G and collaborative technologies in Austin

Saturday, May 6th, 2017

By

Fawzi Behmann, President TelNet Management Consulting, Inc. and 

Vice Chair, IEEE NA Communications Society

Date: 11 May 2017

Time: 06:00 PM to 08:00 PM Central

Location: AT&T Labs,  9505 Arboretum  Austin, Texas

 

RSVP

https://events.vtools.ieee.org/m/45416

 

Abstract:

5G technologies is promised to be the technology that is not only will increase coverage and data rate but also accelerate and enable new use cases and applications that would be difficult to be supported by 4G.

 

5G is expected to impact many areas in our lives such transportation, energy, public safety and drive greater efficiencies, safety and smartness. In the area of health, 5G  will enables new possibilities in terms of health care including imaging, diagnostics, data analytics, and treatment that will bring consistent, reliable user experiences to improve medical care.

 

Austin is taking a lead in several fronts promoting 5G platform for research, trials, collaboration and education.

 

The talk will describe some of the key differences between 4G and 5G, 5G roadmap, and trials. How 5G, IoT, Virtualization and security will result in a powerful ecosystem to serve all markets. Ecosystem players will include public-private partnership (City, Universities & Researchers, Service Providers, equipment vendors, Utilities, 3rd parties, startups and others). Several use cases will be illustrated in key areas such as transportation, energy, public safety and health. These will all be part building smarter city.

 

The talk will conclude with some of the 2017/18 Austin activities and events addressing 5G and collaborative technologies such as City of Austin 5G initiative, 2018 IEEE GreenTech of Smart City and several other industry events.

 

Bio:

 

 

Fawzi Behmann,

President TelNet Management Consulting, Inc

Vice Chair, IEEE  NA Communications Society

DL, IEEE Communications and Computer Societies

 

Fawzi is a visionary, thought leader, author and contributor in advancing adoption of technology in serving humanity. Fawzi spent over 30 years in industry and held various executive and leadership positions with Tier 1 companies in the areas of communications and networks spanning Semiconductor, communication systems and service provider. Fawzi was a principle architect and championed the definition and the development of integrated pre-IoT telecom alert system and networking management solution at Teleglobe Canada. He was a senior product manager with Nortel Networks for enterprise broadband edge and core product releases. Fawzi, also served as the Director of Strategic Marketing with Motorola/Freescale for SoC networking & Communications product line in Austin, Texas.

 

Fawzi is passionate about technology automation and has founded TelNet Management Consulting Inc. in 2009 offering consulting services in the areas of technology trends and positioning for smart networking empowered by collaborative technologies such as IoT, 5G, virtualization, big data/analytics and security across key markets and areas such as Health, energy, transportation, public safety and smart cities.

 

Fawzi has been a keynote speaker at difference conferences, distinguished lecturer at several events. Fawzi conducted workshops and organized sessions at aeveral industry events. He is a board member with several companies and has several publications and co-authored book on the subject of future IoT “Collaborative Internet of Things for Future Smart Connected Life and Business “ published by Wiley, June 2015 http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118913744,subjectCd-EEJ0.html

 

Fawzi has been the recipient of several awards from Industry and IEEE.  He is a senior member of IEEE, and is currently the ComSoc NA vice chair, CTS Conference & PACE Chair, and ComSoc/SP/CS/EMBS Austin chapter chair.

 

Fawzi holds a Bachelor of Science with honors and distinction from Concordia University, Montreal; Masters in Computer Science from the University of Waterloo, Ontario and Executive MBA from Queen’s University, Ontario Canada.

…………………………..

Seats are limited. Please RSVP

Free F&B

………………………….

For more information   Contact

email f.behmann@ieee.org

Chair ComSoc/SP and EMBS/CS Austin Chapters

IEEE COMSOC/SP AND EMBS/CS JOINT CHAPTERS – AUSTIN, PRESENTATION ON FRAMEWORK FOR BIG DATA ANALYTICS AND CLOUD INFRASTRUCTURE

Friday, January 20th, 2017

IEEE Seminar, Austin

A System of Systems Framework for Autonomy, Big Data Analytic, Machine Learning and Cloud Infrastructure

 

By

 

Prof.  Mo Jamshidi, Ph.D., DEgr. (h.c.) Fellow, IEEE, ASME, AAAS, TWAS, NYAS, AF, AIAA Lutcher Brown Endowed Chaired Professor Member, UT System Chancellor’s Council Department of Electrical and Computer Engr. University of Texas San Antonio, TX

 

Date: February 23, 2017

Time : 6pm

Location: AT&T Labs, 9505 Arboretum, Austin

 

 

Seat are limited. Please RSVP

https://meetings.vtools.ieee.org/m/43227

 

 

Abstract:

Large data has been accumulating in all aspects of our lives for quite some time. Advances in sensor technology, the Internet, wireless communication, and inexpensive memory have all contributed to an explosion of “Big Data”. System of Systems (SoS) are integration of independent operatable and non-homogeneous legacy systems to achieve a higher goal than the sum of the parts. Today’s SoS are also contributing to the existence of unmanageable “Big Data”. Recent efforts have developed promising approach, called “Data Analytics”, which uses machine learning tools from statistical and soft computing (SC) such as principal component analysis (PCA), clustering, fuzzy logic, neuro-computing, evolutionary computation, Bayesian networks, deep architectures and deep learning, etc. to reduce the size of “Big Data” to a manageable size and apply these tools to a) extract information, b) build a knowledge base using the derived data, and c) eventually develop a non-parametric model for the “Big Data”. This keynote attempts to construct a bridge between SoS and Data Analytics to develop reliable models for such systems.  A photovoltaic energy forecasting problem of a micro grid SoS, traffic jams forecasting and a system of autonomous vehicles will be offered for case studies. These tools will be used to extract a nonlinear Model for a SoS-generated BIG DATA. Videos for autonomous vehicles will be shown.

 

Bio:

Mo M. Jamshidi (Fellow IEEE, Fellow ASME, A. Fellow-AIAA, Fellow AAAS, A. Fellow TWAS, Fellow NYAS) received BS in EE, Oregon State University, Corvallis, OR, USA in June 1967, the MS and Ph.D. degrees in EE from the University of Illinois at Urbana-Champaign, IL, USA in June 1969 and February 1971, respectively. He holds honorary doctorate degrees from the University of Waterloo, Canada, 2004 and Technical University of Crete, Greece, 2004. Currently, he is the Lutcher Brown Endowed Distinguished Chaired Professor at the University of Texas, San Antonio, TX, USA. He has been an advisor to NASA (including 1st MARS Mission), USAF, USDOE and EC/EU (Brussels). He has over 750 technical publications including 68 books (12 text books), research volumes, and edited volumes in English and a few foreign languages. He is the Founding Editor or co-founding editor or Editor-in-Chief of 5 journals including IEEE Control Systems Magazine and the IEEE Systems Journal. He is currently Editor-in-Chief of Intelligent Automation and Soft Computing published by Taylor & Francis in UK. e is an Honorary Professor at three Chinese Universities (Nanjing and Xi’an), Deakin University (Australia), Birmingham University and Loughbrough University (UK), and Obuda University (Hungary). In October 2005 he was awarded the IEEE’s Norbert Weiner Research Achievement Award. He is a member of the University of the Texas System Chancellor’s Council since 2011. In his two research laboratories with 25 graduate students, he is currently involved in research on system of systems engineering with emphasis on cloud computing, robotics, UAVs, bioinformatics and sustainable energy systems. He has close to 9000 citations on Scholar Google.

 

Free F&B

 

 

For more information

Contact

email f.behmann@ieee.org

Chair EMBS/CS and ComSoc/SP Austin Chapters

 

https://meetings.vtools.ieee.org/m/43227