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.
–(IEEE PELS)- Current-fed iM2DCs, Dynamic Models, Control System …
Date: January 30 2019.
Time: 02:00 PM to 03:00 PM (EDT)
Speaker: Dr. Hui Li.
Event Details & Registration: (URL)
Isolated modular multilevel dc-dc converters (iM2DCs) have gained increased applications for MVDC systems including DC solid state transformers (SST) and battery energy storage systems (BESS). Compared to the voltage-fed counterparts, the current-fed iM2DCs have unique advantages due to their superior current control and fault performance. This presentation will introduce different modulation methods of current-fed iM2DCs and the corresponding dynamic models as well as control system development. The advantages and disadvantages of each modulation method will be illustrated and compared.
Dr. Hui Li received her Ph.D. degree from the University of Tennessee, Knoxville, TN, USA, in 2000. From 1999 to 2000, she worked at Power Electronics and Electric Machinery Research Center of Oak Ridge National Laboratory. Currently she is a professor of Electrical and Computer Engineering Department, FAMU-FSU College of Engineering, USA. She leads power electronics research at Center for Advanced Power Systems (CAPS), Florida State University since 2002. Her research interests include dual-active-bridge converters, multilevel inverters, and PV inverters applying WBG devices. She has led a number of projects in the past to develop DC solid state transformers and WBG PV converters. She has published over 100 high quality papers and the recipient of NSF Career Award (2007), IEEE PELS Transaction Paper Award (2014), and IEEE IAS Industrial Power Converter Committee Prize Paper award (2014). She is an associate editor of IEEE Transaction on Power Electronics and IEEE Journal of Emerging and Selected Topics in Power Electronics. She is the elected member at large of Administrative Committee of IEEE Power Electronics Society from 2011-2013, 2015-2017, 2018-2020 and one of Distinguished Lecturers of Class 2018-2019. She is a Fellow of the IEEE.
–(IEEE USA)- Technology Leadership Practices Forms, Myths, success …
Date: February 7 2019.
Time: 02:00 PM to 03:00 PM (EDT)
Speaker: Dr. Gleb Tsipursky.
Event Details & Registration: (URL)
You probably heard advice for technology leaders to go with their guts, stick to their guns, and be confident. Unfortunately, behavioral economics studies show that following these typical pieces of advice – and many similar ones – often leads to disastrous consequences, since our gut reactions and intuitions are adapted for the savanna environment, not decision-making in modern technology leadership contexts. Groundbreaking research on best technology leadership practices forms the basis for this presentation, which busts leadership myths and offers clear take-aways to facilitate your leadership success.
Known as the Disaster Avoidance Expert, Dr. Gleb Tsipursky has over 20 years of experience dramatically empowering leaders and organizations to avoid business disasters by addressing potential threats, maximize unexpected opportunities, and resolve persistent personnel problems through consulting, coaching, and speaking. He serves as the CEO of the boutique consulting firm Disaster Avoidance Experts, whose clients range from Fortune 500 companies to mid-size businesses and nonprofits. The author of the national bestseller on avoiding disasters, The Truth Seeker’s Handbook: A Science-Based Guide, his cutting-edge thought leadership was featured in over 400 articles he published and over 350 interviews he gave to popular venues that include Fast Company, CBS News, Time, Scientific American, Psychology Today, The Conversation, Business Insider, Government Executive, Inc. Magazine, and many others. He lives in Columbus, OH, and to avoid disaster in his personal life makes sure to spend ample time with his wife. His website is DisasterAvoidanceExperts.com and his email email@example.com.
–(IEEE Spectrum)- Flash DSC Technique, Structures, and Applications …
Date: January 16 2019.
Time: 10:00 AM to 11:00 AM (EDT)
Speaker: Dr. Jürgen Schawe, Senior Scientist Thermal Analysis, Mettler-Toledo, Analytical.
Event Details & Registration: (URL)
Flash DSC is a novel technique, a quantum leap in DSC technology that opens up new frontiers. The new Flash DSC 2+ revolutionizes rapid-scanning DSC thanks to its ultra-high heating and cooling rates. The state-of-the-art instrument can easily analyze reorganization and crystallization processes which were previously difficult or impossible to measure. The Flash DSC 2+ is the ideal complement to conventional DSC for characterizing modern materials and optimizing production processes by thermal analysis.
In this Webinar, we will discuss the basic principles of the Flash DSC and present some interesting applications.
Polymers, polymorphic substances, and many metals and alloys have metastable structures that depend on the cooling conditions used in their production. On heating, reorganization processes such as the melting and recrystallization of unstable crystallites or the separation of phases may occur.
The use of high heating rates enables materials to be analyzed without interference from reorganization processes as there is no time for such processes to occur.
The Flash DSC 2+ is also the ideal tool for studying crystallization kinetics
Jürgen E. K. Schawe was awarded a Ph.D. in solid state physics in 1984. After that, Dr. Schawe worked at the University of Rostock in the Polymer Physics Group, and from 1992 to 1999 for calorimetry of the University of Ulm. Since 1999 he has worked for Mettler-Toledo AG in Schwerzenbach, Switzerland.
Dr. Schawe is a senior application scientist for Material Characterization. He was awarded the 2010 STK Award of Applied Chemical Thermodynamics by the Swiss Society for Thermal Analysis and Calorimetry. To date, Dr. Schawe has published 62 articles in scientific journals and has been awarded 4 patents.