Events

May
26
Tue
Photonics North 2020
May 26 @ 08:00 – May 28 @ 17:00

On behalf of the conference organizing committee,
we invite you to the virtual Photonics North Conference on May 26-28,
2020.  In the midst of a global crisis,
we look forward to meeting with all of you, our colleagues, as we carry on with
the work of advancing optical science and engineering. Join us for outstanding
plenary talks from inspirational thought leaders. Join us for the very best
work from respected and established researchers. Join us for talks from
emerging researchers, presenting what is surely the opening work of brilliant,
burgeoning careers.

Photonics and optics are finally seeing widespread adoption and significant growth into new markets. Photonic devices are being applied to sensing, communications, and even quantum computing. High speed fiber optics and highly integrated subsystems are essential to the rollout of 5G systems. There has never been a better time for research, development, and training in photonics and Photonics North is essential for developing and promoting the ecosystem.

 

Conference Chairs

Gord Harling
President and CEO, CMC Microsystems       

P. Scott Carney
The Institute of Optics, University of Rochester​     

Jul
7
Tue
A Novel Maximum Power Point Tracking (MPPT) Technique for Photovoltaic Solar Panels
Jul 7 @ 18:00 – 19:30
A Novel Maximum Power Point Tracking (MPPT) Technique for Photovoltaic Solar Panels

The IEEE Reliability Society & Power Electronics
Society is inviting all interested IEEE members and prospective members to a
webinar

 

A Novel Maximum Power Point Tracking (MPPT) Technique for Photovoltaic Solar Panels

By

 

Mahdi Ranjbar

DATE:       July 7, 2020

TIME:        18 19:30.

       

A
novel Maximum Power Point Tracking (MPPT) technique for photovoltaic (PV)
solar panels will be presented.  Current
sensors are costly components. They also require a signal conditioning
circuitry to reduce the noise and condition the signal to be sampled and used
by the controller.  Th
is
method takes advantage of the non-linearity of the I-V curve of the solar panel
to
find the MPP
. By injecting high-frequency perturbation signals and
monitoring the system behavior current sensing used for controlling of MPPT
is eliminated. This elimination can reduce the cost of MPPT circuitry. The proposed method also shows a very fast tracking response due to the use of high-frequency signals instead of relying on low frequency and DC signals which are used in the traditional methods. Numerical analysis, simulation results, and experimental results verify the feasibility of the proposed technique will be shown.

 

Mahdi
Tude Ranjbar received his bachelor’s degree from the University of Tehran,
Iran (2017). In this period, his main focus was on collaboration with different laboratories in ECE and Mechanical engineering departments. He started his M.A.Sc degree in 2018 at Queen’s, Canada with a focus on improving the efficiency of the solar system power generation techniques.  Since March 2020, Mr. Ranjbar has joined the System
Architecture group at HUADA Semiconductors where his main focus is designing power applications using Huada’s microcontrollers, gate drivers and current sense amplifiers.


Please
register here:
 https://events.vtools.ieee.org/tego_/event/manage/233724

A link will be sent to you a day before the event.

 

Jul
28
Tue
Role of the Smart Grid in Facilitating the Integration of Renewables
Jul 28 @ 18:30 – 19:30
Role of the Smart Grid in Facilitating the Integration of Renewables

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.

Aug
12
Wed
IEEE OTTAWA WEBINAR SERIES ON AI AND MACHINE LEARNING
Aug 12 @ 12:00 – 13:00

Speaker:                Dr : Marin Soljacic, MIT

Date:                      Wednesday
Aug 12th, 2020

Time:                      12:00
noon to 13:00

Title of the talk:       Photonics:
a great testing-ground to develop new AI algorithms for science

The Smart City Building Blocks & Their Synergy with Smart Villages
Aug 12 @ 18:30 – 19:30
The Smart City Building Blocks & Their Synergy with Smart Villages

ADMISSION: Free, but the registration in advance is required.

REGISTRATION: 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

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