Join the CRIEEE MTT Section on Tuesday, October 22nd to view a recording of a presentation by Prof. Gabriel Rabeiz.
Abstract: Advanced 5G and SATCOM Phased-Arrays Using Silicon Technologies
During the past 50 years, phased-arrays have been largely developed for the defense sector. Today, due to the increased demand for data, there is a need for base-station and mobile-user phased-arrays which can provide high-capacity data services through directional links. Therefore, there is an amazing investment by the telecom industry in this sector at highly accelerated time scales (24-36 months) to meet the commercial demand. Today, both digital-beamforming at the element level (sub-6 GHz) and hybrid (i.e. analog/digital) beamforming for the mm-wave bands are being developed for next-generation 5G telecom systems. These commercial investments are leading to dramatic changes in phased-arrays: high EIRP, high-performance systems at 28 GHz, 39 GHz and even 60 GHz, and with multiple beams, are now available at low-cost. This talk will summarize our work in this area, and present a roadmap for the future.
Prof. Gabriel Rabeiz of University of California, San Diego
Advanced 5G and SATCOM Phased-Arrays Using Silicon Technologies
Prof. Rebeiz is a Fellow of the IEEE and Wireless Communications Industry Chair Professor of electrical and computer engineering at UCSD. His expertise includes design of silicon RFICs for microwave and millimeter-wave systems with a specialty on phased arrays and low power circuits, active and passive imaging systems up to THz frequencies (including thermal imagers), THz CMOS and SiGe electronics, RF micro-electro-mechanical systems (RF MEMS), reconfigurable front-ends including tunable filters and tunable antennas, cognitive radios, planar antennas from RF to THz frequencies, radars, and collision avoidance systems for automotive applications.
— GaN and SiC converters, introduction, challenges, gate drive, reflective waves, electromagnetic interference …
Webinar Date: Tuesday, September 3, 2019
Time: 11:00 AM (ET)
Speaker: Dr. Jin Wang, Ohio State University
Location: on the Web
Event Details & Registration: www.ieee-pels.org
Summary: The talk will focus on high-power applications of Gallium Nitride (GaN) and Silicon Carbide (SiC) devices. It will start with a brief introduction of examples of state-of-the-art high-power GaN and SiC converters. Then, common challenges that are faced by both GaN and SiC devices including gate drive designs, high dv/dt-caused reflective waves, electromagnetic interference, partial discharge, etc. will be discussed. Specific challenges for the implementation of SiC in medium- and high-voltage applications will also be discussed.
Bio: Jin Wang received his Ph.D. from Michigan State University, East Lansing, in 2005. From Sept 2005 to Aug 2007, he worked at the Ford Motor Company as a Core Power Electronics Engineer. He joined the Ohio State University in 2007 as an Assistant Professor and was promoted to Associate Professor in 2013 and Full Professor in 2017. His research interests include wide bandgap power devices and their applications, high-voltage and high-power converter/inverters, integration of renewable energy sources, and electrification of transportation. Dr. Wang has over 180 peer-reviewed journal and conference publications and 8 patents. Dr. Wang received the IEEE Power Electronics Society Richard M. Bass Young Engineer Award and the National Science Foundation’s CAREER Award in 2011. At The Ohio State University, Dr. Wang received the Ralph L. Boyer Award for Excellence in Undergraduate Teaching Innovation in 2012, the Lumley Research Award in 2013 and the Harrison Faculty Award for Excellence in Engineering Education in 2017. Dr. Wang served as the General Chair and the Steering Committee Chair for the IEEE Future Energy Challenge in 2016 and 2017, respectively. Dr. Wang had been an Associate Editor for the IEEE Transactions on Industry Applications from 2008 to 2014. Currently, Dr. Wang serves as an Associate Editor for the IEEE Transactions on Power Electronics and the IEEE Journal of Emerging and Selected Topics in Power Electronics (J-ESTPE).
— US DOE, dual-inverter, 200 kW, 1050 VDC, 115C coolant, front loader vehicle, real-world application …
Webinar Date: Wednesday, September 18, 2019
Time: 11:00 AM (ET)
Speaker: Dr. Brij Singh, senior staff engineer, John Deere Inc.
Location: on the Web
Event Details & Registration: tec.ieee.org/
Summary: This presentation will discuss public information related to a John Deere project funded by the US Department of Energy’s PowerAmerica Institute at North Carolina State University, Raleigh. Through PowerAmerica, John Deere has formed a collaboration with researchers from the US Department of Energy National Renewable Energy Laboratory to develop a 200 kW 1050 VDC silicon carbide (SiC) dual-inverter. The SiC inverter converts vehicle engine power into electrical power needed for the permanent-magnet-motor based power-train used in heavy-duty construction and mining vehicles. The presentation will cover development and test verification of various technologies deployed in the successful realization of a power-dense (greater than 40 kW/Liter) high-temperature (suitable for 115C coolant) high-efficiency (greater than 98% over entire range of coolant) SiC dual-inverter. Test results from various generations of the SiC inverter will be presented. In April 2017, the Fargo, North Dakota-based John Deere Electronic Solutions (JDES) successfully demonstrated the SiC inverter in a John Deere 644K hybrid front loader vehicle, using the engine radiator fluid to cool the SiC power electronics. The SiC inverter technology demonstration took place at John Deere Dubuque Works (JDDW) in Dubuque, Iowa. Since then this SiC inverter has been operating on vehicles resulting in over 2,000 hours experience from real-world application of SiC power electronics technology. The DOE-PowerAmerica funding has greatly helped John Deere to accelerate the development of SiC inverter technology including the realization of key commercialization objectives.
Bio: Brij N. Singh is a senior staff engineer in John Deere Inc., USA and leading the US Department of Energy – PowerAmerica (DOE-PowerAmerica) funded project to develop a 200 kW SiC inverter for heavy-duty vehicle applications. Brij has earned Ph.D. degree in Electrical Engineering from the Indian Institute of Technology, New Delhi, India, in 1996. In 1996, Brij joined the École de Technology Supérieure, Université du Québec, Montreal, QC, Canada, as a Post-Doctoral Fellow. In 1999, Brij joined Concordia University, Montreal, QC, Canada as a Research Fellow. In 2000, Brij joined the Department of Electrical Engineering and Computer Science, Tulane University, New Orleans, Louisiana, as an Assistant Professor. In 2007, Brij joined John Deere in Fargo, North Dakota as a power electronics staff engineer. In Tulane, Brij received numerous teaching awards for outstanding instructions in electrical engineering. In John Deere, Brij received numerous awards for product and technology innovations and team collaboration activities. Brij has published over 90 research papers in various Journals including IEEE Transactions and IET Journals. Brij has 22 US patents, one trade secret, and numerous pending patents. Brij’s scholarly work and publications have been cited by his peers over 6000 times. Brij is a senior member of the IEEE.
Webinar Date: On Demand
Speaker(s): Dr. Liesbet Van der Perre
Location: On the Internet
Event Details & Registration: (Efficient DSP for Massive MIMO)
Massive MIMO requires the simultaneous processing of signals from many antenna chains, and computational operations on large matrices. The complexity of the digital processing has been viewed as a fundamental obstacle to the feasibility of Massive MIMO in the past. Recent advances on system-algorithm-hardware co-design have led to extremely energy-efficient implementations.
This webinar will summarize the fundamental technical contributions to efficient digital signal processing for Massive MIMO. The opportunities and constraints on operating on low-complexity RF and analog hardware chains are clarified. It will explain how terminals can benefit from improved energy efficiency. The status of technology and real-life prototypes will be discussed. Open challenges and directions for future research are suggested.
Dr. Liesbet Van der Perre, Professor, KU Leuven
received the M.Sc. and PhD degree in Electrical Engineering from the KU Leuven, Belgium, in 1992 and 1997 respectively. The research for her thesis was completed at the Ecole Nationale Superieure de Telecommunications in Paris. She was appointed honorary doctor at Lund University, Sweden, in 2015. Dr. Van der Perre joined imec’s wireless group in 1997 in the wireless group and took up responsibilities as senior researcher, system architect, project leader and program director, until 2015.
Liesbet Van der Perre was appointed Professor in the DRamCo lab of the Electrical Engineering Department of the KU Leuven in 2016. She’s an author and co-author of over 300 scientific publications. Prof. L. Van der Perre is the scientific leader for the European project FP7-‘Massive MIMO for Efficient Transmission’ (www.MAMMOET-project.eu). Liesbet Van der Perre is a member of the Board of Directors of the company Zenitel since 2015, and a guest Professor at the University of Lund since 2017.
Webinar Date: February 27, 2019
Time: 6:00 PM (CST)
Event Details & Registration: (Bringing the Power of AI to IoT)
The Internet of Things (IoT) presents an opportunity to collect a lot information about every physical events and operation of a business. Artificial Intelligence (AI) is playing a growing role in IoT applications and deployments, a shift apparent in the behavior of companies and makers operating in this area.
By 2020, more than 50 billion devices will be connected through radio communications. In conjunction with the rapid growth of the Internet of Things (IoT) market, low power wide area networks (LPWAN) is a quickly emerging area of the IoT and represents a huge market opportunity as the IoT scales.
AI-powered IoT can also help improve operational efficiency. Just as machine learning can predict equipment failure, it can predict operating conditions and identify parameters to be adjusted. There is big opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytic.
In this webinar we will discuss different topics:
– Data value chain in IoT
– Importance massive IoT of LPWAN technologies (Sigfox, LoRa,NB-IoT and LTE-M).
– Power of IoT an AI
– Use cases and opportunities of IOT & AI
– Challenges of IoT & AI in implementation
IEEE ComSoc Young Professionals
Webinar Date: Wednesday, February 13, 2019
Time: 12.00 PM (EDT)
Speaker: Allen Downey, Professor of Science at Olin College
Location: on the Web
Event Details & Registration: https://zoom.us/webinar/register/8615487750746/WN_0DHTog0NRbq0jbcJpwLIKw?partnerref=vip
Topic: The Bayesian Zig Zag: Developing Probabilistic Models Using Grid Methods and MCMC
Description: Tools like PyMC and Stan make it easy to implement probabilistic models, but getting started can be challenging. In this talk I present a strategy for simultaneously developing and implementing probabilistic models by alternating between forward and inverse probabilities and between grid algorithms and MCMC. This process helps developers validate modeling decisions and verify their implementation. As an example, I will use a version of the “Boston Bruins problem,” which I presented in Think Bayes, updated for the 2017-18 season. I will also present and request comments on my plans for the second edition of Think Bayes. …
Speaker: Allen Downey … Professor of Computer Science at Olin College in Needham, Massachusetts, and the author of Think Python, Think Bayes, Think Stats, and several other books related to computer science and data science. Previously he taught at Wellesley College and Colby College, and in 2009 was a Visiting Scientist at Google, Inc. Allen has a Ph.D. from U.C. Berkeley and B.S. and M.S. degrees from MIT. He writes a blog about Bayesian statistics and related topics called Probably Overthinking It. Several of his books are published by O’Reilly Media and all are available under free licenses from Green Tea Press.
MODERATOR: Eric Ma … Eric Ma is an investigator at the Novartis Institutes for Biomedical Research. He defended his ScD thesis in the Department of Biological Engineering at MIT, where he used network statistical methods to study influenza evolution and ecology. Eric has been an active member of the Boston Python community since 2012. He’s given tutorials at Python-centric and data science conferences and guided four undergraduate students in his research group on computational research projects. He believes in using open data, open science, and open source tools to ensure the long-term integrity of his scientific work.
Webinar Date: Open
Event Details & Registration: (5G Technology Opportunities and Challenges)
5G is intended to impact every industry, every service provider, and every person on the planet. It promises to extend the global success of 4G-LTE to underpin new use-cases, such as the “industrial Internet” and enhanced mobile broadband. The revolution from 4G to 5G is unprecedented, it stretches the spectrum, device and network technology. This panel will discuss the business and technology opportunities and challenges of 5G Network. The panel will discuss the latest 5G progress in standard and research, learning from trials and remaining gaps and challenges.
Date: March 14 2019.
Time: 02:00 PM to 03:00 PM (EDT)
Speaker: Colleen Palmer, ESQ.
Event Details & Registration: (URL)
You’ve just signed a contract to start a project. Are you prepared to respond when the client wants to include others in the contract for professional services? When requested, are you aware of the risks associated with transferring copyright, as compared to ownership of a work product? Could an unfavorable contract indemnity clause create a catastrophic financial risk to your business and livelihood? Do you recognize how to strengthen your standard of care contract language and indemnity? Because engineering professionals must insure that contracts protect their business, reputation and livelihood, the ability to understand contracts and contract language is a key skill.
In this webinar, we will continue discussion of the importance of a well-drafted professional services agreement. We will talk about some of the critical risk management provisions that should be addressed in all professional services agreements and discuss ways to deal with poorly drafted provisions proposed by clients.
Colleen Palmer joined Beazley in December 2007 as an A&E Risk Manager and is based in the New York office. Before joining Beazley, Colleen was a practicing attorney in Boston, MA, where she focused on assisting architects and engineers. She specialized in providing risk management services to design professionals on a nationwide basis, including conducting risk management seminars and advising on contractual issues. Colleen earned her Bachelor of Science degree in Biology from Cornell University and her Juris Doctor, cum laude, from the University of Miami School of Law.
Webinar Date: February 5, 2019
Time: 01:00 PM (EST)
Event Details & Registration: (A New Health Architecture)
The price for validated and verified patient data for clinical trials recruitment and research is highly valuable. The value trapped in unused data to expedite finding treatments and therapies for chronic or rare diseases is priceless.
85% of personal health data is only used once! (Dr. Vahan Simonyan, CRISPR Therapeutics). In real terms, what does this mean? That the global health community is investing money to generate data that gets used once and stored away in a silo for no other person or entity to use. This creates both a financial and time deficit for clinical researchers and scientists who need data to expedite therapies from the bench to trials to patients.
Join IEEE Standards Association (IEEE-SA) for this complimentary webinar and learn how cutting-edge technologies such as blockchain/distributed ledger technologies (DLT), artificial intelligence (AI), machine learning, etc. are feeding scientists and researchers with critical data to identify the genesis of diseases but also how to better anticipate and combat them. They are not only breaking boundaries on what kind of data it can produce beyond human capacity but breaking the norms on how we share it, use it and continue to contribute to it with the consent and management by patients.
Robert Chu, “The Innovator”, CEO, Embleema
Dr. Vahan Simonyan, “The Scientist”, Senior Director of Bioinformatics, CRISPR Therapeutics
Dr. Yauheni Solad, “The Physician”, Medical Director of Digital Health, Yale New Haven Health
Maria Palombini, “The Moderator”, Director, Emerging Communities & Opportunites, IEEE-SA
Webinar Date: January 30, 2019
Time: 02:00 PM (EST)
Speaker: Nirmal Paudel (ABB), Magnus Olsson (COMSOL)
Location: On the Web
Event Details & Registration: (Modeling Sensors and Instrument Transformers)
Instrument transformers and sensors are used in electric distribution networks to measure the current and the voltage for metering, monitoring, and protection and control use cases.
Multiphysics simulation is an integral part of research and product development at ABB. In fact, modeling has helped the organization to minimize the number of physical prototypes, reduce the development time, and develop the next generation of sensors and instrument transformers. During this webinar, Nirmal Paudel, senior R&D engineer at ABB, will discuss how to model a split-core sensor for medium-voltage use cases, considering how the accuracy of the sensor depends on various geometrical parameters, the sensor orientation, and the influence of nearby conductors in a three-phase system.
Key steps in modeling instrument transformers and sensors using multiphysics simulation will be discussed. Simulation results of different sensors will also be shown. The webinar will include a live demo in the COMSOL Multiphysics® software that features a split-core sensor for use in an underground vault. The webinar will conclude with a Q&A session.
Nirmal Paudel, Senior R&D Engineer, ABB
Dr. Nirmal Paudel is the senior R&D engineer at ABB’s Medium Voltage Instrument Transformers & Sensors in Pinetops, NC. He has been involved in developing new instrument transformers, sensors, and power harvesting devices for medium-voltage use cases
Magnus Olsson, Technology Manager, COMSOL
Magnus Olsson joined COMSOL in 1996 and currently leads development for the electromagnetic design products. He holds an MSc in engineering physics and a PhD in plasma physics and fusion research. Prior to joining COMSOL, he worked as a consulting specialist in electromagnetic computations for the Swedish armed forces.