Technological Stewardship is a new concept intended to focus on the promise of technology to create a better future for society today and avoid the negative consequences. While Technologies have the promise to address key issues and create a better future, new developments often amplify inequities and create new kinds of risk. What does this mean for how to move
Through this interactive 2-hour workshop, you will learn about Technological Stewardship and develop your ability to ensure technology makes the world a better place for all. You will also be introduced to a powerful tool for practically integrating these concepts into the product design/development process.
Mark Abbott is the Executive Director of the Engineering Change Lab, which serves as a catalyst for evolving the engineering community to reach its full potential as stewards of technology for the benefit of humanity.Â Over the past 5 years, over 125 organizations and 350+ individual leaders (CEOs, VPs, Deans, Directors) have collaborated using the Lab’s platform advancing understanding and action to evolve engineering. Previously, Mark served as member of the Executive Team at Engineers without borders for several years.
This interactive workshop is limited to 45 attendees so as to create an optimal interactive and learning environment.Â This series of workshops is planned to have subsequent workshops taking place in March and April.Â We are especially interested in professionals willing to tryout the powerful tools and providing feedback on integrating the concepts into the product design / development process.
IEEE Ottawa Seminar Series on AI and Machine Learning
IEEE Ottawa Section, PHO Chapter,
CS Chapter, SP Chapter, TEMS Chapter
Jointly with Vitesse
The Rise & Foreseeable Future of
Observations from a Commercial Pioneer
Wednesday, March 18, 2020
359 Terry Fox Drive, Suite 200, Kanata, Ontario
11:30 â€“ 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.Â 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.Â 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
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.Â 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.
is free, but space is limited.Â All
participants must register in advance.Â Â
follow the link to register
more information, please contact: Kexing Liu firstname.lastname@example.org
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
Nirwan Ansari, Distinguished Professor of Electrical and Computer Engineering at
the New Jersey Institute of Technology (NJIT)
Thursday, March 19, 2020.
Refreshments, Registration and Networking: 6:00 p.m.; Seminar: 6:30 p.m. â€“ 7:30 p.m.
Ciena Optophotonics Lab, Room T129, T-Building, School of Advanced Technology, Algonquin College,
1385 Woodroffe Ave., Ottawa, ON Canada K2G 1V8.
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.
Free. Registration required. To ensure a seat, please register by e-mail contacting: Wahab Almuhtadi.
Ottawa ComSoc/CESoc/BTS Chapter website.
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.
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.