IEEE Kingston Section

April 26th, 2018

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





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):


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)


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

April 26th, 2018

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



Date:        Thursday, May 3rd, 2018.

Time:       12:00 PM (Refreshments start at 11:45 AM)

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

Speaker:  Professor Yi Qian, Department of Electrical and Computer Engineering, University of Nebraska‐Lincoln

Abstract: Wireless communication technologies are ubiquitous nowadays. Most of the smart devices have Cellular, Wi‐Fi, Bluetooth connections. These technologies have been developed for many years, nonetheless they are still being enhanced. More development can be expected in the next 5 years, such as faster transmission data rate, more efficient spectrum usage, lower power consumption, etc. Similarly, cellular networks have evolved for several generations. For example, GSM as part of 2G family, UMTS as part of the 3G family, and LTE as part of 4G family. In the next few years, 5G cellular network systems will continue the evolution to keep up with the fast‐growing needs of customers. Secure wireless communications will certainly be part of other advances in the industry such as multimedia streaming, data storage and sharing in clouds, mobile cloud computing services, etc. This talk covers the topics on security for next generation mobile wireless networks, with focusing on 5G mobile wireless network systems, followed by a discussion on the challenges and open research issues in the area.

Speaker Bio: Yi Qian received a Ph.D. degree in electrical engineering from Clemson University. He is a professor in the Department of Electrical and Computer Engineering, University of Nebraska‐Lincoln (UNL). Prior to joining UNL, he worked in the telecommunications industry, academia, and the government. Some of his previous professional positions include serving as a senior member of scientific staff and a technical advisor at Nortel Networks, a senior systems engineer and a technical advisor at several start‐up companies, an assistant professor at University of Puerto Rico at Mayaguez, and a senior researcher at National Institute of Standards and Technology. His research interests include information assurance and network security, network design, network modeling, simulation and performance analysis for next generation wireless networks, wireless ad‐hoc and sensor networks,vehicular networks, smart grid communication networks, broadband satellite networks, optical networks, high‐speed networks and the Internet. He has a successful track record to lead research teams and to publish research results in leading scientific journals and conferences. Dr. Yi Qian is a member of ACM and a senior member of IEEE. He is serving on the editorial board for several international journals and magazines, including serving as the Associate Editor‐in‐Chief for IEEE Wireless Communications Magazine. He is a Distinguished Lecturer for IEEE Vehicular Technology Society and IEEE Communications Society. He is serving as the Technical Program Committee Chair for IEEE International Conference on Communications 2018.


This seminar is open to the general public with free admission and refreshments (pizza & refreshments start at 11:45AM). For further information, please contact Dr. Francois Chan

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

November 15th, 2017

The  EMB/RA/CS Societies Joint Chapter of IEEE Kingston Section is proud to sponsor the following IEEE Distinguished Seminar:

At the Intersection of Medicine, Engineering and Computing

Date:        Thursday, November 16th, 2017.

Time:       1:00 – 2:00PM

Venue:     Dunning Hall, Room 14,  Queens University, Kingston.

Speaker:  Prof. Alex Hartov, Dartmouth College, USA


Abstract: Surgery developed in human history as a highly skilled activity to treat a wide variety of ailments.  Its effectiveness has increased dramatically over the centuries as our understanding of anatomy, physiology and the course of diseases has deepened.  While medical advances still contribute to improvements in surgical procedures, we have now reached a new stage where engineering and computational methods are contributing to significant improvements in surgical outcomes. This new development has the potential to also change the nature of ailments that surgery can help.  Underlying this progress are development in imaging technology which have contributed both to better diagnostic capabilities and to better therapeutic procedures, particularly in the field of image-guided surgery.  In this presentation, a number of technological developments that have contributed to improvements in surgery will be presented and analyzed.

Speaker Bio: Dr. Hartov was born in France and moved to the US where he attended university.  He graduated with a BSEE (Bachelor of Science in Electrical Engineering) from Northeastern University in 1984, and obtained his MS and PhD from the Thayer School of Engineering at Dartmouth in 1988 and 1991 respectively.  He was invited to join the Thayer School research faculty in 1996 where he worked on the development of electrical impedance tomography for breast cancer screening.  Dr. Hartov also worked in collaboration with neurosurgeons on the development of apparatus and algorithms used in imaged surgery and is named as an inventor on several related patents.


This seminar is open to the general public with free admission. For further information, please contact Dr. Gabor Fitchinger