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Distinguished Seminar: Spatial Maps of Dynamics, Long-Term Human Motion Prediction and the Next Best Smelling Robots

Tuesday, January 29th, 2019

The Department of Electrical and Computer Engineering at Queen’s University and the EMB/RA/CS Societies Joint Chapter of IEEE Kingston Section are proud to present the following distinguished seminar:

 

SPATIAL MAPS OF DYNAMICS, LONG-TERM HUMAN MOTION PREDICTION AND THE NEXT BEST SMELLING ROBOTS

 

Date:  Friday Feb. 8th, 2019.

Time:  9:30 – 10:30 AM

Location: Queens University, Dupuis Hall Auditorium.

Speaker:  Professor Achim J. Lilienthal, Mobile Robotics and Olfaction Lab, Computer Science at Örebro University, Sweden.

 

Abstract:  In this presentation I will first briefly introduce the Mobile Robot & Olfaction lab at Örebro University, Sweden. Grounded in a basic research interest in perception systems we study, as the name suggests, topics in mobile robotics and mobile robot olfaction (gas-sensitive robots). Following this dichotomy, I will present recent work addressing the creation and use of spatial Maps of Dynamics (MoDs), and long-term human motion prediction (mobile robotics) as well as recent developments in mobile robot olfaction, including bout-guided gas source localization and robot assisted gas tomography.

 

Speaker Bio:  Prof. Achim J. Lilienthal is head of the Mobile Robotics and Olfaction Lab at Örebro University, Sweden. His research interests are mobile robot olfaction, rich 3D perception, navigation of autonomous transport robots, human robot interaction and mathematics education research. Achim Lilienthal obtained his Ph.D. in computer science from Tübingen University, Germany and his M.Sc. in Physics from the University of Konstanz, Germany. The Ph.D. thesis addresses gas distribution mapping and gas source localisation with mobile robots. The M.Sc. thesis is concerned with structure analysis of (C60)n+ clusters using gas phase ion chromatography.

Light Refreshments to follow after the seminar from 10:30-11:30AM, at ECE Lounge, Walter Light Hall- Room 314.

This seminar is open to the general public. For more information, please contact:

Prof. Joshua Marshall  (joshua<dot>marshall<at>queensu.ca)

Prof. Keyvan Hashtrudi-Zaad    (khz<at>queensu.ca)

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:

 

INTEGRATED TERRESTRIAL/AERIAL 6G NETWORKS FOR UBIQUITOUS 3D SUPER-CONNECTIVITY IN 2030s

 

 

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, chan-f@rmc.ca

2018 Annual Banquet – October 29, 2018

Thursday, October 25th, 2018

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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

 

on

 

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: https://events.vtools.ieee.org/meeting_registration/register/178237

2 IEEE DLTs – Machine Learning in Digital Medicine and Cellular and Device-to-Device Networks Coexistence

Thursday, April 26th, 2018

The  IEEE Kingston Joint Communications and Computer Chapter is proud to sponsor the following two IEEE Distinguished Lecturer talks:

MACHINE LEARNING IN DIGITAL MEDICINE

&

CELLULAR DEVICE-TO-DEVICE NETWORKS COEXISTENCE

 

Date:        Tuesday, May 8th, 2018.

Time:       2:00 PM

Venue:     WLH302 , Walter Light Hall, Queens University, 19 Union St. Kingston.

Speaker:  Dr. Giorgio Quer, Sr. Research Scientist and Director of Artificial Intelligence, Scripps Research Institute in San Diego, California

 

Abstract (Talk 1):

MACHINE LEARNING IN DIGITAL MEDICINE

Digitalize human beings using biosensors to track our complex physiologic system, process the large amount of data generated with artificial intelligence (AI) and change clinical practice towards individualized medicine: these are the goals of digital medicine. At Scripps, we promote a strong collaboration between computer scientist, engineers, and clinical researchers, as well as a direct partnership with health industry leaders. We propose new solutions to analyze large longitudinal data using statistical learning and deep convolutional neural networks to address different cardiovascular health issues. Among them, one of the greatest contributors to premature morbidity and mortality worldwide is hypertension. It is known that lowering blood pressure (BP) by just a few mmHg can bring substantial clinical benefits, but the assessment of the “true” BP for an individual is non-trivial, as the individual BP can fluctuate significantly. We analyze a large dataset of more than 16 million BP measurements taken at home with commercial BP monitoring devices, in order to unveil the BP patterns and provide insights on the clinical relevance of these changes.

Another prevalent health issue we investigated is atrial fibrillation (AFib), one of the most common sustained cardiac arrhythmia, which is associated with stroke, hospitalization, heart failure and coronary artery disease. AFib detection from single-lead electrocardiography (ECG) recordings is still an open problem, as AFib events may be episodic and the signal noisy. We conduct a thoughtful analysis of recent deep network architectures developed in the computer vision field, redesigned to be suitable for a one-dimensional signal, and we evaluate their performance for the AFib detection problem using 200 thousand seconds of ECG recording, highlighting the potential of this technology.

 

Abstract (Talk 2)

CELLULAR DEVICE-TO-DEVICE NETWORKS COEXISTENCE

Looking to the future, we are investigating new applications of existing wearable devices, requiring advanced processing and clinical validation, and we are participating to the All of Us research program, an unprecedented research effort to gather data from one million people in the USA to accelerate the advent of precision medicine.

The coexistence of device-to-device (D2D) and cellular communications in the same band is a promising solution to the dramatic increase of wireless networks traffic load. Mobile nodes may communicate in a semi-autonomous way (D2D mode), with minimal or no control by the base station (BS), but they will create a harmful interference to the cellular communications.

To control this interference, we propose a distributed approach that allows the mobile nodes to acquire local information in real time, infer the impact on other surrounding communications towards the BS, and optimize mode and power selection performed with a network wide perspective. In a single-cell scenario, we develop a rigorous theoretical analysis to quantify the balance between the gain offered by a D2D transmission and its impact on the cellular network communications, while in a multi-cell scenario, we exploit a probabilistic approach with Bayesian networks.

As a practical application, we envision a network with one macro BS, multiple small cell BSs, and several mobile D2D users, where proactive caching can be used to take full advantage of this heterogeneity. In this scenario, we propose a robust optimization framework to derive a proactive caching policy that exploits all these communication opportunities and reduces congestion on the backhaul link.

The adoption of D2D technologies may save precious resources like spectrum and energy for future 5G networks by exploiting physical proximity between terminals, helping to counteract the increasing traffic demand in cellular networks.

 

Speaker Bio: Giorgio Quer is a Senior Research Scientist at the Scripps Research Institute in San Diego, California, and he is the Director of Artificial Intelligence at the Scripps Translational Science Institute.  He received the B.Sc. degree, the M.Sc. degree (with honors) in Telecommunications Engineering and the Ph.D. degree (2011) in Information Engineering from University of Padova, Italy. In 2007 he was a visiting researcher at the Centre for Wireless Communication at the University of Oulu, Finland. During his Ph.D., he proposed a solution for the distributed compression of wireless sensor networks signals, based on the joint exploitation of Compressive Sensing and Principal Component Analysis. From 2010 to 2017 he was a visiting scholar at the California Institute for Telecommunications and Information Technology and then a postdoc at the Qualcomm Institute, University of California San Diego (UCSD), working on cognitive networks protocols and implementation.

He is a Senior Member of the IEEE, a member of the American Heart Association (AHA), and a Distinguished Lecturer for the IEEE Communications society. His research interests include wireless sensor networks, network optimization, compressive sensing, probabilistic models, deep convolutional networks, wearable sensors, physiological signal processing, and digital medicine

 

The duration for each talk is 30 minutes.

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