Events

Mar
19
Thu
[CANCELLED] Seminar: Drone-assisted Mobile Edge Computing
Mar 19 @ 18:00 – 19:30

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.

Sep
26
Sat
WIE HACK613: The Ottawa Hackathon
Sep 26 @ 14:00 – 17:00

 

Date and Place: The event will be held online on September 26th and 27th, 2020.

“Every accomplishment starts with the decision to try” ~ John F. Kennedy

What?
New to Hackathons? Are you also interested in participating in IEEEXtreme 14.0? IEEE WIE Ottawa presents the first ever Mock Hackathon in Ottawa! Win Exciting Prizes and get experience with us. No need to think of an idea! The questions will be given to you. Our mentors will further help you to get a head start in your hackathon journey! This is a practice event just for you! Learn more about IEEEXtreme here-> https://ieeextreme.org/

When?
September 26th and 27th, 2020

Where?
The event is fully online including the mentorship*.

Agenda
September 26th, 2020
01:00 PM The opening ceremony

02:00 PM Commencement of Hackathon

05:00 PM Final Submission

September 27th, 2020
01:00 PM Results declaration webinar

01:30 PM Prize announcement

02:00 PM The closing ceremony

For More Details Visit: https://wie.ieeeottawa.ca/hack613-the-ottawa-hackathon/

Sep
28
Mon
Online Talk: From bees to Drones: Exploring bio-inspired machine vision applications for precision agriculture
Sep 28 @ 18:00 – 20:00
Online Talk: From bees to Drones: Exploring bio-inspired machine vision applications for precision agriculture

Online Talk: From bees to Drones: Exploring bio-inspired machine vision applications for precision agriculture

Bees are used as vectors for pollination and transport of agricultural chemicals in outdoor agriculture and greenhouses. However, in certain situations the use of natural pollinators is problematic. Small unmanned aerial vehicles (UAVs) could serve as an alternate pollination vector in such situations and perform other functions. A step towards the deployment of such a tool is to bring the ability to locate, classify, and analyze flowers aboard a drone.

More info and registration: https://wie.ieeeottawa.ca/event/from-bees-to-drones-exploring-bio-inspired-machine-vision-applications-for-precision-agriculture/.

A presentation by IEEE WIE Ottawa.

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