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)

 

DATE:

Thursday, March 19, 2020.

 

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.

 

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.

 

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.

IEEE Ottawa Seminar Series on AI and Machine Learning

IEEE Ottawa Section, PHO
Chapter, CS Chapter, SP Chapter, TEMS Chapter

Jointly with Vitesse
Reskilling

The Rise & Foreseeable Future of
Artificial Intelligence:

Observations from a Commercial Pioneer

Peter MacKinnon

Synergy Technology
Management

—————————————————————-

Wednesday, April 22, 2020

359 Terry Fox Drive, Suite 200, Kanata, Ontario

11:30 – 13:30

—————————————————————-

Artificial Intelligence (AI) is constantly in the news
with stories of promise and peril.
Political leaders have declared it a national priority, the global high
tech industry is racing AI apps to markets and policy and governance
implications of AI are in their infancy.
We will explore where this is all heading.

We will begin with some definitions and a bit of
history behind the rise of AI.  The talk
will then place AI in the context of being a potentially disruptive technology
on society. This will lead to a discussion about ethics and moral issues
regarding the development and use of aspects of AI as a dual-use
technology.  Time permitting, the role of
AI in defence and security will be used as an example for appreciating the
complexity and ethical issues brought on by AI. We will then turn to the role
of the engineer in this new world being enabled by AI.

Finally, we will review potential governance and
policy issues and options to address the rapid unchecked development and
application of AI within society at large; and, ultimately end with a
precautionary note.

 

Biography

The speaker was
a pioneer in the commercialization of AI in the 1980s and today is actively
involved in ethical and policy issues related to AI.  Peter has an extensive background on the
forefront of scientific and technological breakthroughs around disruptive
technologies and their impacts on society.
He was an early proponent in the development and promotion of Big Data
and data analytics using High Performance Computers, and was a major
contributor in creating the Internet in Canada, among other accomplishments.

Peter has a
background as a scientist, business manager, entrepreneur, domestic and
international bureaucrat, executive, diplomat, management advisor, and academic;
including most recently affiliation with both Telfer School of Management and
the Faculty of Engineering at the University of Ottawa and the Faculty of
Engineering at Carleton University.  Peter
also blogs on AI for the Institute on Science, Society and Policy, an
interfaculty organisation at uOttawa.

 

—————————————————————-

Event
is free, but space is limited.  All
participants must register in advance.   

Please
follow the link to register

https://events.vtools.ieee.org/m/226058

—————————————————————-

For
more information, please contact: Kexing Liu kexing.liu@ieee.org

IEEE Ottawa Seminar Series on AI and Machine Learning

IEEE Ottawa Section, PHO
Chapter, CS Chapter, SP Chapter, TEMS Chapter

Jointly with Vitesse
Reskilling

The Rise & Foreseeable Future of
Artificial Intelligence:

Observations from a Commercial Pioneer

Peter MacKinnon

Synergy Technology
Management

—————————————————————-

Wednesday, April 22, 2020

On-line Webinar

112:00 non – 13:30

—————————————————————-

Artificial Intelligence (AI) is constantly in the news
with stories of promise and peril.
Political leaders have declared it a national priority, the global high
tech industry is racing AI apps to markets and policy and governance implications
of AI are in their infancy.  We will
explore where this is all heading.

We will begin with some definitions and a bit of
history behind the rise of AI.  The talk
will then place AI in the context of being a potentially disruptive technology
on society. This will lead to a discussion about ethics and moral issues
regarding the development and use of aspects of AI as a dual-use
technology.  Time permitting, the role of
AI in defence and security will be used as an example for appreciating the complexity
and ethical issues brought on by AI. We will then turn to the role of the
engineer in this new world being enabled by AI.

Finally, we will review potential governance and
policy issues and options to address the rapid unchecked development and
application of AI within society at large; and, ultimately end with a
precautionary note.

 

Biography

The speaker was
a pioneer in the commercialization of AI in the 1980s and today is actively
involved in ethical and policy issues related to AI.  Peter has an extensive background on the
forefront of scientific and technological breakthroughs around disruptive
technologies and their impacts on society.
He was an early proponent in the development and promotion of Big Data
and data analytics using High Performance Computers, and was a major
contributor in creating the Internet in Canada, among other accomplishments.

Peter has a
background as a scientist, business manager, entrepreneur, domestic and
international bureaucrat, executive, diplomat, management advisor, and
academic; including most recently affiliation with both Telfer School of
Management and the Faculty of Engineering at the University of Ottawa and the
Faculty of Engineering at Carleton University.
Peter also blogs on AI for the Institute on Science, Society and Policy,
an interfaculty organisation at uOttawa.

 

—————————————————————-

Event
is free, but space is limited.  All
participants must register in advance.   

Please
follow the link to register

https://events.vtools.ieee.org/m/226058

—————————————————————-

For more information,
please contact: Kexing Liu kexing.liu@ieee.org

This seminar discusses the use of AI in modern power and energy systems, in particular electrical distribution networks.

About this Event

Driven by global environmental emission issues and tighter
requirements for system resilience and reliability, electricity
production is shifting from a centralized paradigm to a decentralized
one. In this context, renewable energy sources (RES) and electric
vehicles (EVs) have proliferated over the past decade, exhibiting a
steadily increasing trend. Thus, today, a large number of wind turbines,
photovoltaic (PV) panels, and EVs are connected to medium- (1-69 kV)
and low-voltage (=1 kV) grids, with traditional integrated bulk power
systems becoming decentralized in the presence of active distribution
networks, where the flow of power is bidirectional between generators
and “prosumers”. Such systems are typified by a high penetration of
metering infrastructures, generating a large volume of data, providing
the opportunity to harness the power of big data using data-driven
techniques.

This seminar discusses the use of artificial
intelligence (AI) in modern power and energy systems, in particular
electrical distribution networks. Real-world examples of the use of AI
for energy storage systems optimization and control will be provided and
discussed.

Key Focus

• What are modern power systems control and optimization issues?
• How data-driven techniques can help?
• What is the state-of-the-art?
• What is the path forward?

Admission is FREE! Everyone is welcome! Registration is required!

BIOGRAPHY:

Dr.
Mostafa Farrokhabadi is the Senior Director of Technology at
BluWave-ai. Concurrently, he serves as Associate Editor of IEEE
Transactions on Smart Grid. He has more than 8 years of experience in
designing mission critical grid solutions for industry and academia,
including technical leadership of a $6M international consortium in
electric grid modernization, and smart grids projects with Hatch and
Canadian Solar. Mostafa has (co)authored several articles in high-impact
journals, conference proceedings, and magazines, and holds patents on
intelligent control and optimization of renewable-penetrated grids.
Mostafa has also led the award-winning IEEE Power and Energy Society
Task Force on microgrid stability, an international coalition of 21
researchers from 14 institutions investigating stability issues in
microgrids. Mostafa obtained his PhD in Electrical and Computer
Engineering from the University of Waterloo. He has also studied and
performed research in Sweden at KTH and Germany at KIT. During the
course of his career, Mostafa has received multiple business, research,
and teaching awards, including the prestigious University of Waterloo
Doctoral Thesis Completion Award and Ottawa’s Forty Under 40.

The virtual series of IEEE Women in Engineering International Leadership Conference (WIE ILC) 2020.

The IEEE WIE ILC Virtual Series will take place throughout June 2020,
offering 1-hour sessions, live panel discussions, virtual networking
opportunities, and an on-demand library for you to browse when it’s
convenient for you. Registration is free!

Visit http://ieee-wie-ilc.org/virtual2020/ for more information.

#IEEEWIE