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Ingenuity Labs and IEEE Joint Invited Lecture – Uncertainty Assessment for Deep Networks: Making Autonomous Driving Perception Aware of Its Own Limitations

Sunday, November 3rd, 2019

The EMB/RA/CS Societies Joint Chapter of IEEE Kingston and Queen’s Ingenuity Labs Research Institute are proud to present the following invited lecture:




Date:  Wednesday November 20th, 2019.

Time:  12:30 – 1:30 PM

Location: Mitchell Hall, Room 395, Queen’s University 

Speaker:  Prof. Steve Waslander, University of Toronto Institute for Aerospace Studies (UTIAS). Director, Toronto Robotics and Artificial Intelligence Laboratory (TRAILab).

Light Refreshments: 1:30 – 2:00PM, Mitchell Hall, Room 395, Queen’s University



Most autonomous vehicle perception approaches are primarily reliant on modern deep neural networks (DNNs).   DNNs have shown breakthrough performance or object detection, tracking and prediction, scene segmentation, vehicle localization and mapping, providing accurate bounding boxes for vehicles and pedestrians, lane boundaries and signage over extensive datasets and on-road testing. Yet, these networks are not uniformly consistent in the quality of their perception outputs, and much can be gained by accumulating evidence over time.  In this talk, I will lay out our progress in 3D object detection to improve detection accuracy for a range of sensor configurations, and demonstrate the effects of adverse weather on these approaches.  Further, I will describe our approach to providing reliable uncertainty estimates for network outputs that enable proper Bayesian inference when incorporating prior information and tracking object motion through time.


Speaker Bio:

Prof. Steven Waslander is a leading authority on autonomous aerial and ground vehicles, including multirotor drones and self-driving cars.  He received his 1998 from Queen’s University, his M.S. in 2002 and his Ph.D. in 2007, both from Stanford University in Aeronautics and Astronautics, where as a graduate student he created the Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control (STARMAC), the world’s most capable outdoor multi-vehicle quadrotor platform at the time. He was recruited to Waterloo from Stanford in 2008, where he founded and directs the Waterloo Autonomous Vehicle Laboratory (WAVELab), extending the state of the art in autonomous drones and autonomous driving through advances in localization and mapping, object detection and tracking, integrated planning and control methods and multi-robot coordination. His work on autonomous vehicles has resulted in the Autonomoose, the first autonomous vehicle created at a Canadian University to drive on public roads. His insights into autonomous driving have been featured in the Globe and Mail, Toronto Star, National Post, the Rick Mercer Report, and on national CBC Radio.  In 2018, he joined the University of Toronto Institute for Aerospace Studies (UTIAS), and founded the Toronto Robotics and Artificial Intelligence Laboratory (TRAILab).

To attend this seminar, RSVP by clicking this Link

For more information, please contact Dr. Joshua Marshall or Dr. Keyvan Hashtrudi-Zaad






Integrated Terrestrial/Aerial 6G Networks for Ubiquitous 3D Super-Connectivity in 2030s

Monday, November 5th, 2018

The Joint Communications & Computer Chapter of IEEE Kingston Section is proud to present the following IEEE distinguished lecture:





Date:  Tuesday Nov. 13th, 2018.

Time:  2:00 – 3:00 PM

Location: Queens University, Walter Light Hall, Room 302

Speaker:  Professor Halim Yanikomeroglu

Abstract:  As the 5G standards are currently being developed with a scheduled completion date of late-2019, it is time to reinitiate a brainstorming endeavour followed by the technical groundwork towards the subsequent generation (6G) wireless networks of 2030s.

One reasonable starting point in this new 6G discussion is to reflect on the possible shortcomings of the 5G networks to-be-deployed. 5G promises to provide connectivity for a broad range of use-cases in a variety of vertical industries; after all, this rich set of scenarios is indeed what distinguishes 5G from the previous four generations. Many of the envisioned 5G use-cases require challenging target values for one or more of the key QoS elements, such as high rate, high reliability, low latency, and high energy efficiency; we refer to the presence of such demanding links as the super-connectivity.

However, the very fundamental principles of digital and wireless communications reveal that the provision of ubiquitous super-connectivity in the global scale – i.e., beyond indoors, dense downtown or campus-type areas – is infeasible with the legacy terrestrial network architecture as this would require prohibitively expensive gross over-provisioning. The problem will only exacerbate with even more demanding 6G use-cases such as UAVs requiring connectivity (ex: delivery drones), thus the need for 3D super-connectivity.

In this talk, we will present a 5-layer vertical architecture composed of fully integrated terrestrial and aerial layers for 6G networks of 2030s:

  • Terrestrial HetNets with macro-, micro-, and pico-BSs
  • Flying-BSs (aerial-/UAV-/drone-BSs);                      altitude: up to several 100 m
  • High Altitude Platforms (HAPs) (floating-BSs);       altitude: ~20 km
  • Very Low Earth Orbit (VLEO) satellites;                  altitude: 200-1,000 km
  • Geostationary Orbit (GEO) satellites;                        altitude: 35,786 km

In the absence of a clear technology roadmap for the 2030s, the talk has, to a certain extent, an exploratory view point to stimulate further thinking and creativity. We are certainly at the dawn of a new era in wireless research and innovation; the next twenty years will be very interesting


Speaker Bio:  Halim Yanikomeroglu is a Professor at Carleton University. His research covers many aspects of communications technologies with emphasis on wireless networks. He supervised 20 PhD students (all completed with theses). He coauthored 360+ peer-reviewed research papers including 120+ in the IEEE journals; these publications have received 11,000+ citations. He is a Fellow of IEEE, a Distinguished Lecturer for the IEEE Communications Society, and a Distinguished Speaker for the IEEE Vehicular Technology Society. He has been one of the most frequent tutorial presenters in the leading international IEEE conferences (29 times). He has had extensive collaboration with industry which resulted in 25 granted patents (plus more than a dozen applied). During 2012-2016, he led one of the largest academic-industrial collaborative research projects on pre-standards 5G wireless, sponsored by the Ontario Government and the industry. He served as the General Chair and Technical Program Chair of several major international IEEE conferences.


This seminar is open to the general public with free admission, pizza and refreshments.

For more information, please contact Dr. François Chan,

2018 Annual Banquet – October 29, 2018

Thursday, October 25th, 2018


IEEE Kingston Section cordially invites

IEEE Members, Students, Staff and Well Wishers to its

 2018 IEEE Annual Banquet.


with Keynote Speaker


Prof. Karen Rudie

IEEE Fellow, Professor,

Dept. of Electrical & Computer Engineering,

Queen’s University Kingston, Ontario




October 29th  2018, 

from 6:00pm at the

Renaissance Event Venue (Lower Salon) – 285 Queen St, Kingston, ON K7K 1B7



Dinner Menu:

  1. Chicken Breast Fricassee
  2. Georgian Stuffed Pepper (Vegan)


About the keynote speaker:

Professor Karen Rudie received her Ph.D. from the University of Toronto, in the Systems Control Group. Just before coming to Queen’s she was a postdoc at the Institute for Mathematics and its Applications in Minneapolis. Since 1993 she has been at Queen’s University where she is a Professor of Electrical and Computer Engineering, with a cross-appointment in the School of Computing. She was an IEEE Control Systems Society Distinguished Lecturer and has served as an Associate Editor for IEEE Transactions on Control Systems Technology, the Journal of Discrete Event Dynamic Systems, IEEE Transactions on Automatic Control, and IEEE Control Systems Magazine. She is a Fellow of the IEEE. Her research focuses on the control of discrete-event systems.


Ticket Prices: (Deadline for purchase is 26 October, 2018)

Non-student registration $35.00
Student registration $20.00




Purchase tickets:

  • Online:

High Spectral Efficiency for Future Wireless Communications

Monday, December 11th, 2017

The  IEEE Kingston Joint Communications and Computer Chapter is proud to sponsor the following IEEE lecture:



Date:        Wednesday, December 13th, 2017.

Time:       2:00 – 3:00PM

Venue:     WLH302 , Walter Light Hall, Queens University, Kingston.

Speaker:  Prof. Claude D’Amours, School of Electrical Engineering and Computer Science, University of Ottawa

Abstract: Much research is focused on increasing spectral efficiency of current wireless systems to contribute to the large increases in capacity required for future wireless communication systems.  New research is focusing on non-orthogonal multiple access (NOMA), Spatial modulation and multiplexing, error control coding and multiuser detection as methods to increase spectral efficiency.  In this talk we will examine different methods based on CDMA or SC-FDMA techniques as well as MIMO technology to improve spectral efficiency.

Speaker Bio: Claude D’Amours completed his PhD in Electrical Engineering at the University of Ottawa in 1995.  He was employed at the Communications Research Centre as a Systems Engineer in 1995 before joining the Department of Electrical and Computer Engineering at RMC later that year.  He joined the School of Information technology and Engineering, later named the School of Electrical Engineering and Computer Science, at the University of Ottawa in 1999.  He was the Vice Dean of Undergraduate Studies from 2007-2011 and has been the Director of the School since 2013.  His research areas focus on physical layer technologies for future wireless communications.


This seminar is open to the general public with free admission and refreshments. For further information, please contact Dr. Francois Chan