IEEE Kingston Section


Archive for the ‘Events’ Category

IEEE Talk: Optimization of DSP-Based Optical Communication Links Beyond 100Gbps

Wednesday, August 3rd, 2022

Title: Optimization of DSP-Based Optical Communication Links Beyond 100Gbps

Speaker: Tony Chan Carusone                

Professor, University of Toronto

Chief Technology Officer, Alphawave IP Group

Date: Monday, August 8th

Time: 2pm

Location: Walter Light Hall Rm 302, Queen’s University


Progress in computation and communication is increasingly bottlenecked by integrated circuit I/O. Previously reserved for communication over 100’s of kilometres, today optical links are widely viewed as the primary solution for chip-to-chip links above 100 Gbps and up to 1 km.  Meanwhile, CMOS technology scaling has led us toward integrated circuit transceivers that are, essentially, complete modems: thin but critical analog front-end circuits and a large custom DSP.  This presentation will describe how to co-design of DSP transceivers with a thin but critical analog front-end and the associated optical components to create optical links serving future datacentre communication needs.  As an example, a 4-PAM CMOS linear TIA designed in a FinFET technology consuming less than 50 mW and co-packaged alongside photodiodes is presented. The circuits and packaging are co-designed to maximize the passive front-end BW. Experimental results confirm the integrated optical fibre receiver operates up to 160-Gb/s using a single wavelength with a suitable DSP.


Tony Chan Carusone has been a faculty member at the University of Toronto since completing his Ph.D. there in 2002.  He has co-authored eight award-winning papers on chip-to-chip and optical communication circuits, ADCs, and clock generation.  He has also been a consultant to industry since 1997.  He is currently the Chief Technology Officer of Alphawave in Toronto, Canada.

Dr. Chan Carusone was a Distinguished Lecturer for the IEEE Solid-State Circuits Society 2015-2017 and served on the Technical Program Committee of the International Solid-State Circuits Conference from 2015-2021.  He co-authored the latest editions of the classic textbooks “Analog Integrated Circuit Design” along with D. Johns and K. Martin, and “Microelectronic Circuits” along with A. Sedra and K.C. Smith. He has served as Editor-in-Chief of the IEEE Transactions on Circuits and Systems II: Express Briefs, an Associate Editor for the IEEE Journal of Solid-State Circuits, and is now Editor-in-Chief of the IEEE Solid-State Circuits Letters.  He is a Fellow of the IEEE.

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






IEEE Lecture – Application of Compressed Sensing Theory to Radar Signal Processing: Tutorial and Recent Developments

Thursday, July 4th, 2019

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




Date:  Thursday July 11th, 2019.

Time:  10:30 – 11:30 AM

Location: Royal Military College of Canada, Kingston, Room S4214

Speaker:  Dr. Soheil Salari



During the last decade, the emerging technique of compressed sensing has become a popular subject in signal processing and sensor systems since it can reduce the sampling rate and computational complexity of practical systems without performance loss. The technique of compressed sensing has been successfully applied in signal acquisition, image compression, and data reduction. Based on compressed sensing theory, the original radar echo can be sampled at a lower rate, and then the detection and imaging can be implemented. Although the theory of compressed sensing has been investigated for some radar and localization problems, several important questions have not been answered yet. This presentation introduces the main principle of compressed sensing theory, and then reviews some recent developments in the application of the compressed sensing theory to radar signal processing.


Speaker Bio:

Soheil Salari received all degrees in electrical engineering: Ph.D. from K.N. Toosi University of Technology in 2007, M.Sc. from K.N. Toosi University of Technology in 2001, and B.Sc. From University of Kerman in 1998. He held various research/teaching/engineering positions in Iran until 2011. Since 2011, he has served several research appointments with University of Ontario Institute of Technology (UOIT), University of Toronto, Queen’s University, and RMCC. He also collaborated in several industrial projects. Currently, he is working for the government of Canada as a research scientist. His role has been to carry out research, develop new capabilities, and provide technical advice on topics of artificial intelligence, target tracking, and data fusion. His research interests are in the areas of wireless communications, radar and localization, compressed sensing, digital signal processing, machine learning and artificial intelligence, and optimization theory.

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

For more information, please contact Dr. François Chan,




IEEE Distinguished Lecturer Tour (DLT) – Dr. Ashutosh Dutta

Sunday, March 31st, 2019

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







Date:  Tuesday April. 2nd, 2019.

Time:  10:30 AM

Location: Queens University, Walter Light Hall, Room 302

Speaker:  Dr. Ashutosh Dutta


Talk 1: Security in SDN/NFV and 5G Networks-Opportunities and Challenges – 30 minutes

Software Defined Networking (SDN) and Network Function Virtualization (NFV) are the key pillars of future networks, including 5G and Beyond that promise to support emerging applications such as enhanced mobile broadband, ultra low latency, massive sensing type applications while providing the resiliency in the network. Service providers and other verticals (e.g., Connected Cars, IOT, eHealth) can leverage SDN/NFV to provide flexible and cost-effective service without compromising the end user quality of service (QoS). While NFV and SDN open up the door for flexible networks and rapid service creation, these offer both security opportunities while also introducing additional challenges and complexities, in some cases. With the rapid proliferation of 4G and 5G networks, operators have now started the trial deployment of network function virtualization, especially with the introduction of various virtualized network elements in the access and core networks. These include elements such as virtualized Evolved Packet Core (vEPC), virtualized IP Multimedia Services (vIMS), Virtualized Residential Gateway, and Virtualized Next Generation Firewalls. However, very little attention has been given to the security aspects of virtualization. While several standardization bodies (e.g., ETSI, 3GPP, NGMN, ATIS, TIA) have started looking into the many security issues introduced by SDN/NFV, additional work is needed with larger security community involvement including vendors, operators, universities, and regulators. This tutorial will address evolution of cellular technologies towards 5G but will largely focus on various security challenges and opportunities introduced by SDN/NFV and 5G networks such as Hypervisor, Virtual Network Functions (VNFs), SDN Controller, Orchestrator, Network slicing, Cloud RAN, and security function virtualization. This tutorial will also highlight some of the ongoing activities within various standards communities and will illustrate a few deployment use case scenarios for security including threat taxonomy for both operator and enterprise networks. In addition, I will also describe some of the ongoing activities within IEEE Future Network initiative including roadmap efforts and various ways one can get involved and contribute to this initiative.


Talk 2: Mobility Handover Optimization Framework and IEEE 5G Initiative – 30 minutes

As mobile networks continue to grow and converge with the Internet, new wireless devices and their use are outnumbering the use of fixed network. Mobility management needs to meet the requirements of existing and emerging network technologies and applications. It may be supported in different layers of the network protocol stack. At the IP layer, Mobile IP, an IP-based mobility management, has the advantage of being applicable in any IP-based network, but is faced with many deployment challenges. Numerous variants of Mobile IP have been proposed to address these challenges in different network environments. Research in mobility management has become more active, especially with the mobile networks continuing to evolve from hierarchical towards more flattened network and densification of wireless networks. This talk presents the basics, recent advances, and future directions for mobility protocols at various layers (e.g., network, transport and application). This talk then provides taxonomy of existing mobility protocols, illustrates an abstract mobility model that can be used to support various handoff scenarios. Various handoff optimization methodologies will be explained supported by experimental and simulation results. This talk cites a few deployment scenarios to describe applicability of mobility protocols to various network environments. Finally, the talk goes through the best practices for mobility management and provides some research directions.


Speaker Bio:  Ashutosh Dutta is currently Senior Wireless Communication Systems Research Scientist and JHU/APL Sabbatical Fellow at Johns Hopkins University Applied Physics Labs (JHU/APL), USA. Most recently he served as Principal Member of Technical Staff at AT&T Labs in Middletown, New Jersey. His career, spanning more than 30 years, includes Director of Technology Security and Lead Member of Technical Staff at AT&T, CTO of Wireless at a Cybersecurity company NIKSUN, Inc., Senior Scientist in Telcordia Research, Director of Central Research Facility at Columbia University, adjunct faculty at NJIT, and Computer Engineer with TATA Motors. He has more than 90 conference and journal publications, three book chapters, and 30 issued patents. Ashutosh is co-author of the book, titled, “Mobility Protocols and Handover Optimization: Design, Evaluation and Application” published by IEEE and John & Wiley that has recently been translated into Chinese Language. Ashutosh served as the chair for IEEE Princeton / Central Jersey Section, Industry Relation Chair for Region 1 and MGA, Pre-University Coordinator for IEEE MGA and vice chair of Education Society Chapter of PCJS. He co-founded the IEEE STEM conference (ISEC) and helped to implement EPICS (Engineering Projects in Community Service) projects in several high schools. Ashutosh currently serves as the Director of Industry Outreach for IEEE Communications Society and is the founding co-chair for IEEE 5G initiative. He also serves as IEEE Communications Society’s Distinguished Lecturer for 2017-2020. Ashutosh serves as the general co-chair for the premier IEEE 5G World Forum. He was recipient of the prestigious 2009 IEEE MGA Leadership award and 2010 IEEE-USA professional leadership award. Ashutosh obtained his BS in Electrical Engineering from NIT Rourkela, India, MS in Computer Science from NJIT, and Ph.D. in Electrical Engineering from Columbia University under the supervision of Prof. Henning Schulzrinne. Ashutosh is a senior member of IEEE and ACM.

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

For more information, please contact Dr. François Chan,