Events
NOTE: This event as been cancelled due to COVID-19 precautions
Seminar presented by the IEEE Ottawa Section, Communications Society, Consumer Electronics Society, and
Broadcast Technology Society Joint Chapter (ComSoc/CESoc/BTS), Instrumentation & Measurement
Society Chapter (IMS), Reliability Society and Power Electronics Society Joint Chapter (RS/PELS), IEEE
Ottawa Educational Activities (EA) and Algonquin College IEEE Student Branch:
IEEE Ottawa Section is inviting all interested IEEE members and nonmembers to a distinguished Lecture:
Drone-assisted Mobile Edge Computing
By
Nirwan Ansari, Distinguished Professor of Electrical and Computer Engineering at
the New Jersey Institute of Technology (NJIT)
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DATE:
Thursday, March 19, 2020.
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TIME:
Refreshments, Registration and Networking: 6:00 p.m.; Seminar: 6:30 p.m. – 7:30 p.m.
PLACE:
Ciena Optophotonics Lab, Room T129, T-Building, School of Advanced Technology, Algonquin College,
1385 Woodroffe Ave., Ottawa, ON Canada K2G 1V8.
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PARKING:
Parking at Lots 8 and 9 after 5 p.m. is $5 flat rate, pay at a machine and display the ticket on your dashboard. Please respect restricted areas.
ADMISSION:
Free. Registration required. To ensure a seat, please register by e-mail contacting: Wahab Almuhtadi.
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MORE INFO:
Ottawa ComSoc/CESoc/BTS Chapter website.
Abstract:
In mobile access networks, different types of Internet of Things (IoT) devices (e.g., sensor nodes and smartphones) will generate vast traffic demands, thus dramatically increasing the traffic loads of their connected access nodes, especially in the 5G era. Mobile edge computing enables data collected by IoT devices to be stored in and processed by local fog nodes as well as allows IoT users to access IoT applications via these nodes at the same time. In this case, the communications latency critically affects the response time of IoT user requests. Owing to the dynamic distribution of IoT users, drone base station (DBS), which can be flexibly deployed over hotspot areas, can potentially improve the wireless latency of IoT users by mitigating the heavy traffic loads of macro BSs. Drone-based communications poses two major challenges: 1) DBS should be deployed in suitable areas with heavy traffic demands to serve more users; 2) traffic loads in the network should be allocated among macro BSs and DBSs to avoid instigating traffic congestions. Therefore, we propose a TrAffic Load balancing (TALL) scheme in such drone-assisted fog network to minimize the wireless latency of IoT users. In the scheme, we divide the problem into two sub-problems and design two algorithms to optimize the DBS placement and user association, respectively. Extensive simulations have been set up to validate the performance of TALL.
Speaker Bio:
Dr. Nirwan Ansari, Distinguished Professor of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT), received his Ph.D. from Purdue University, MSEE from the University of Michigan, and BSEE (summa cum laude with a perfect GPA) from NJIT. He is a Fellow of IEEE and a Fellow of National Academy of Inventors.
He authored Green Mobile Networks: A Networking Perspective (Wiley-IEEE, 2017) with T. Han, and coauthored two other books. He has also (co-)authored more than 600 technical publications. He has guest-edited a number of special issues covering various emerging topics in communications and networking. He has served on the editorial/advisory board of over ten journals including as Associate Editor-in-Chief of IEEE Wireless Communications Magazine. His current research focuses on green communications and networking, cloud computing, droneassisted networking, and various aspects of broadband networks. He was elected to serve in the IEEE Communications Society (ComSoc) Board of Governors as a member-at-large, has chaired some ComSoc technical and steering committees, is current Director of ComSoc Educational Services Board, has been serving in many committees such as the IEEE Fellow Committee, and has been actively organizing numerous IEEE International Conferences/Symposia/Workshops. He is frequently invited to deliver keynote addresses, distinguished lectures, tutorials, and invited talks. Some of his recognitions include several excellence in teaching awards, a few best paper awards, the NCE Excellence in Research Award, several ComSoc TC technical recognition awards, the NJ Inventors Hall of Fame Inventor of the Year Award, the Thomas Alva Edison Patent Award, Purdue University Outstanding Electrical and Computer Engineering Award, the NCE 100 Medal, and designation as a COMSOC Distinguished Lecturer. He has also been granted more than 40 U.S. patents.
![Clarifying the Path to becoming a Professional Engineer](https://www.ieeeottawa.ca/wp-content/uploads/2020/04/PEO-01-300x300.jpg)
In this time of social distancing, we are pleased to announce that all the team members of IEEE YP and WIE Ottawa Sections are fully committed to providing online interaction and support to our community! In partnership with Professional Engineers Ontario, we present an online talk in “Clarifying the Path to Becoming a Professional Engineer.”
If you are an engineering undergraduate or post-graduate student, or a recent graduate starting out your engineering career, then this seminar might be for you. In it you will learn:
- What is PEO?
- What engineering experience is PEO looking for once I graduate?
- I have international engineering education and experience; how is that evaluated by PEO?
- How is my engineering experience evaluated by PEO?
- How do I prepare my Experience Record?
- What is the PPE?
- What is the EIT Program and the Student Membership Program?
The emphasis of this webinar will be on the P. Eng. licensure process – what PEO is looking for. The webinar will focus on how engineering experience is evaluated and how you can facilitate the process. Learn the dos and don’ts of preparing your licensing application for evaluation.
To participate, you will require: internet connection to view the webinar, phone access to dial into the conference for audio.
We look forward to speaking with you!
![Role of the Smart Grid in Facilitating the Integration of Renewables](https://www.ieeeottawa.ca/wp-content/uploads/2020/07/Saifur_Rahman_Photo-272x300.jpg)
Webinar: Role of the Smart Grid in Facilitating the Integration of Renewables
Speaker: Prof. Dr. Saifur Rahman, Director, Virginia Tech Advanced Research Institute, USA, IEEE Power & Energy Society (PES) President 2018-2019, IEEE PES Distinguished Lecturer
Date/Time: Tuesday, July 28, 2020, 6:30 pm – 7:30 p.m. EDT
Admission: Free, but registration is required: https://events.vtools.ieee.org/m/234594
For more details, please visit: https://www.ewh.ieee.org/soc/pes/ottawa
Abstract – With the focus on environmental sustainability and energy security, power system planners are looking at renewable energy as supplements and alternatives. But such generation sources have their own challenges – primarily intermittency. It is expected that the smart grid – due to its inherent communication, sensing and control capabilities – will have the ability to manage the load, storage and generation assets (including renewables) in the power grid to enable a large-scale integration of distributed generation. In a smart grid, information about the state of the grid and its components can be exchanged quickly over long distances and complex networks. It will therefore be possible to have the integration of sustainable energy sources, such as wind, solar, off-shore electricity, etc. for smoother system operation. But in order for this to be possible, the electric utility will have to evolve, and change their ways of operation to become an intelligent provider of these services. This lecture introduces the operational characteristics of renewable energy sources, and various aspects of the smart grid – technology, standards and regulations. It also addresses the interplay among distributed generation, storage and conventional generation to provide an efficient operational strategy in the context of the smart grid.
![The Smart City Building Blocks & Their Synergy with Smart Villages](https://www.ieeeottawa.ca/wp-content/uploads/2020/08/Saifur_Rahman_Photo_160x200.jpg)
ADMISSION: Free, but the registration in advance is required.
REGISTRATION:Â https://events.vtools.ieee.org/m/236964.
Abstract – A smart city relies on widely distributed smart devices to monitor the urban environment in real-time, collects information for intelligent decision making, and facilitates various services to improve the quality of urban living. The distributed network of intelligent sensor nodes, as well as data centers/clouds where sensor data are stored and shared, constitutes a smart city infrastructure. Smart cities address urban challenges such as pollution, energy efficiency, security, parking, traffic, transportation, and others by utilizing advanced technologies in data gathering and communications interconnectivity via the Internet. It provides real time and remote monitoring for different aspects of data management in areas such as transportation, communication, video surveillance, and sensors distributed throughout the city. Simultaneously, the Smart City building blocks like education, telemedicine, health care, IT applications, pollution management, etc. can be deployed in the IEEE Smart Village initiative to have a greater impact on the rural population throughout the world. through reliable electricity and internet connectivity.
Speaker Bio – Prof. Dr. Saifur Rahman is the founding director of the Advanced Research Institute (www.ari.vt.edu) at Virginia Tech, USA, where he is the Joseph R. Loring Professor of Electrical and Computer Engineering. He also directs the Center for Energy and the Global Environment (www.ceage.vt.edu). He is a Life Fellow of the IEEE and an IEEE Millennium Medal winner. He was the founding Editor-in-Chief of the IEEE Electrification Magazine and the IEEE Transactions on Sustainable Energy. In 2006, he served on the IEEE Board of Directors as the Vice President for Publications. He is a Distinguished Lecturer for the IEEE Power & Energy Society (PES) and has lectured on renewable energy, energy efficiency, smart grid, electric power system operation and planning, etc. in over 30 countries. He was IEEE Power and Energy Society President 2018-2019 and is now a candidate for IEEE President-Elect 2021.
He chaired the US National Science Foundation Advisory Committee for International Science and Engineering, 2010-2013. He conducted several energy efficiency projects for Duke Energy, Tokyo Electric Power Company, US National Science Foundation, US Department of Defense, State of Virginia and US Department of Energy.
For any additional information, please contact: ajit.pardasani@ieee.org or branislav@ieee.org
![Opportunities, Challenges and Implementation of Silicon Integration and Packaging in mmWave Radar and Communication Applications](https://www.ieeeottawa.ca/wp-content/uploads/2020/09/xiaoxing_gu_photo-220x300.png)
IEEE Distinguished Lecturer Presentation hosted jointly by the OTTAWA EMC/CPMT/ED/CAS/SSCS/AP/MTT Chapters:
Speaker : Dr. Xiaoxiong Gu, IBM T.J. Watson Research Center, NY
Topic : Opportunities, Challenges and Implementation of Silicon Integration and Packaging in mmWave Radar and Communication Applications
Date : Wednesday September 16, 2020
Time : 5:00 PM to 6:00 PM EST
Location : Online via ZOOM
Registration: Free, and is on a first to reply basis. Preference given to IEEE EMC CPMT/ED/CAS/SSCS/APS/MTT society members. E-mail Reservation is required.
Organizer: Dr. Syed Bokhari, Chairman, IEEE Ottawa EMC chapter
Syed.Bokhari@fidus.com,
Office :(613) 595 – 0507 Ext. 377, Cell: (613) 355 – 6632
Abstract: Co-design and integration of RFIC, package, and antennas are critical to enable multiple aspects of 5G communications (backhaul, last mile, mobile access) and are particularly challenging at mmWave frequencies. This talk will cover various important aspects of mmWave antenna module packaging and integration for base station, backhaul, and user equipment applications, respectively, with particular emphasis on signal, power and EMC integrity. We will first present a historical perspective on Si-based mmWave modules and approaches for antenna and IC integration including trade-offs. We will focus on the challenges, implementation, and characterization of a 28-GHz phased-array module with 64 dual polarized antennas for 5G base station applications. Second, we will present a W-band phased-array module with 64-element dual-polarization antennas for radar imaging and backhaul application. The module consists of a multilayer
organic chip-carrier package and a 16-element phased-array TX IC or a 32- element RX IC chipset. Third, we will describe a compact, low-power, 60-GHz switched-beam transceiver module suitable for handset integration incorporating four antennas that support both normal and end-fire directions for a wide link spatial coverage. Detailed signal, power and EMC modeling and analysis of the modules and the system are presented.
Speaker Bio:
Xiaoxiong Gu received the Ph.D. in electrical engineering from the University of Washington, Seattle, USA, in 2006. He joined IBM Research as a Research Staff Member in January 2007. His research activities are focused on 5G radio access technologies, optoelectronic and mm-wave packaging, electrical designs, modeling and characterization of communication, imaging radar and computation systems. He has recently worked on antenna-in-package design and integration for mm-wave imaging and communication systems including Ka-band, V-band and Wband phased-array modules. He has also worked on 3D electrical packaging and signal/power integrity analysis for high-speed I/O subsystems including onchip and off-chip interconnects. He has been involved in developing novel TSV
and interposer technologies for heterogeneous system integration.
Dr. Gu has authored over 90 peer-reviewed publications, 2 book chapters and holds 9 issued patents. He was a co-recipient of IEEE ISSCC 2017 Lewis Winner Award for Outstanding Paper and IEEE JSSC 2017 Best Paper Award (the world’s first reported silicon-based 5G mmWave phased array antenna module operating at 28GHz). He was a co-recipient of the 2017 Pat Goldberg Memorial Award to
the best paper in computer science, electrical engineering, and mathematics published by IBM Research. He received IBM Outstanding Research Accomplishment in 2019 and Outstanding Technical Achievement Award in 2016, four IBM Plateau Invention Awards in 2012 ~ 2016, the IEEE EMC Symposium Best Paper Award in 2013, two SRC Mahboob Khan Outstanding Industry Liaison Awards in 2012 and
2014, the Best Conference Paper Award at IEEE EPEPS in 2011, IEC DesignCon Paper Awards in 2008 and 2010, the Best Interactive Session Paper Award at IEEE DATE in 2008, and the Best Session Paper Award at IEEE ECTC in 2007. Dr. Gu is the co-chair of Professional Interest Community (PIC) on Computer System Designs at IBM. He is a Senior Member of IEEE and has been serving on different
program committees for MTT-S, EPEPS, ECTC, EDAPS and DesignCon. Dr. Gu was the General Chair of IEEE EPEPS 2018 in San Jose, CA. He is also a Distinguished Lecturer for IEEE EMC Society in 2019-2020 and is currently an Associate Editor for IEEE Transactions on Component, Packaging and Manufacturing Technology.