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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.
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
Registration is required. A link to the event will be sent to those registered closer to the event date.
Register here: https://www.eventbrite.ca/e/resource-management-for-massive-connectivity-in-future-wireless-networks-tickets-111059596242
About this Event
Future wireless networks (beyond 5G/sixth-generation (6G) networks)
are envisioned to support 3D communication by integrating terrestrial
and aerial networks. The objective is to provide connectivity to a large
number of devices (known as massive connectivity), to support
substantial traffic demands, and expand coverage. However, effective
resource management in future wireless networks is a challenge because
of massive resource-constrained devices, diverse quality-of-service
(QoS) requirements, and a high density of heterogeneous devices. In this
seminar, I will present my recent research progress which is focused on
communication networking aspects of the Internet of Things (IoT), with
emphasis on algorithm design, network architecture development, and
system-level performance analysis. I will provide a brief discussion on
my three most significant contributions which focuses on the design of
novel algorithms and communication protocols for IoT networks, that have
both (i) enhanced network performance, in terms of spectrum efficiency,
coverage, and energy efficiency, and (ii) satisfied a wide range of IoT
devices’ requirements and constraints. I will then share long-term goal
of my research program which is to develop efficient and low complexity
resource management schemes to tackle the challenges of seamless
connectivity of heterogeneous devices anytime and anywhere. Finally, I
will present my short-term objectives in the next five years which are
to develop resource management schemes for massive connectivity in
future terrestrial networks, aerial networks, and self-sustainable
networks (SSNs) while considering different objectives and constraints,
including network scalability, reliability, latency, efficiency
(spectral usage and energy consumption), and complexity.
BIOGRAPHY
Waleed
Ejaz (S’12-M’14-SM’16) is an Assistant Professor in the Department of
Applied Science & Engineering at Thompson Rivers University,
Kamloops, BC, Canada. He is also the founding director of Next
Generation Wireless Networks (NEWNET) research laboratory. Previously,
he held academic and research positions at Ryerson University, Carleton
University, and Queen’s University in Canada. He received the B.Sc. and
M.Sc. degrees in Computer Engineering from the University of Engineering
and Technology, Taxila, Pakistan and the National University of
Sciences and Technology, Islamabad, Pakistan, and the Ph.D. degree in
Information and Communication Engineering from Sejong University,
Republic of Korea, in 2014. He has co-authored over 90 papers in
prestigious journals and conferences, and 3 books. His current research
interests include Internet of Things (IoT), energy harvesting, 5G and
beyond networks, and mobile edge computing. He is an Associate Editor of
the IEEE Communications Magazine, IEEE Canadian Journal of Electrical
and Computer Engineering, and the IEEE ACCESS. Dr. Ejaz completed
certificate courses on “Teaching and Learning in Higher Education†from
the Chang School at Ryerson University. He is a registered Professional
Engineer (P.Eng.) in the province of British Columbia, Canada. Dr. Ejaz
is a senior member of IEEE, member of ACM, and ACM distinguished
speaker.
#IEEEWIEOttawa
Registration/Ticket URL
Event Website
https://wie.ieeeottawa.ca/event/wie-can-with-ancwt-advancing-new-canadian-women-in-technology/
Abstract:
In this ever-changing world, it’s important to have the support of someone who could help and guide us to advance in our career. Women are great achievers, but due to the systemic bias, many are unable to climb up to leadership positions in their career. Women empowerment is very much needed especially in these tough times and promoting women by providing platforms where they could build themselves is need of the hour. Here in IEEE WIE, we understand its importance and try to provide such platforms especially to the women in our society who lag behind in their learning path because of many reasons and couldn’t come up. IEEE wants every woman to achieve what they desire to be. We promote not only women but also men who understand and go by our notion.
ANCWT (Advancing New Canadian Women in Technology) aim is to help women with technical skills in engineering accomplish their goals by providing an employment bridging program. ANCWT was established in 2016 and has collaborated with multiple employers in the engineering field. Therefore, the IEEE-WIE, Ottawa, and ANCWT have come forward and took an oath, that we will strive hard to make women gain the required knowledge and confidence to overcome this barrier and find themselves in the background of every picture. Join us on 10th August 2020, in a seminar in which Dr. Sawsan Abdul Majid, President of ANCWT accompanied by two alumni of ANCWT, Oyaje Omakwu, and Dalia Elimam will and take us through their journey with ANCWT in Canada.
Speaker Bio:
Dr. Abdul-Majid is a member of the academic community at the faculty of engineering at the University of Ottawa since 2008 as (Researcher, group manager, Part-time professor & graduate student coordinator). She holds a Ph.D. in Optical Communication Systems from Varna University, Bulgaria, and brings more than 25 years of academic (Teaching & Research) experience, as well as eight years of industrial experience and she has more than 45 publications.
Sawsan is a creator and a president of Advancing New Canadian Women in Technology (ANCWT), a Uottawa based employment bridging program. https://ancwt.ca
Her goal is to help newcomer women (immigrants & refugees) who have gained their educations in engineering, IT, and computer science from abroad find their dream jobs in Canada, and settle within the Ottawa community.
Oyaje Omakwu holds a bachelors’ degree in Mechanical Engineering from Nigeria and a masters’ degree in Engineering Management from the University of Ottawa. She has 10 years of experience in project management and business analysis.
She joined ANCWT cohort in 2018, through which she got the opportunity to work as a Project Analyst with the Dept. of Fisheries and Oceans, Canada. It is her desire to help new immigrant women learn about the ANCWT program and its benefits and she is part of the team overseeing ANCWT online activities.
Dalia Elimam, a Chemical Engineer from U.A.E with 16 years of experience in chemical analysis for drinking water pesticides and toxins in food for UAE government. She was introduced to ANCWT in 2019 through the newcomers’ program which guided her to find an entry-level position at Dept. of Fisheries and Oceans- Canada. She is now a Jr. Business Analyst at DFO and work with the client portfolio management team.
