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Surgical Robotics: A Haptic System for Eye Surgery Training

Sunday, September 10th, 2017

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

Surgical Robotics: A Haptic System for Eye Surgery Training

Date:        Monday, September 25th, 2017.

Time:       2:30 – 3:30PM

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

Speaker:  Dr. Hamid D. Taghirad. Professor and Dean of the Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran.

 

Abstract: One of the main research themes at the Advanced Robotics and Automated System (ARAS) group is surgical robotics. Our surgical robotics research group aims at developing new robotics-based technologies for robot-assisted surgery and surgery training applications. This includes design and implementation of mechanical and electrical components as well as development of innovative control structures for these systems.  In this talk, a brief overview on control architectures for improved transparency in bilateral teleoperation systems will be introduced and the stability analysis of such systems will be discussed. Then the current project of the group on Haptic System for Eye Surgery Training will be presented with special focus on the development of a robotic-assisted eye surgery system. The mechanical design of this system and its novel bilateral teleoperation control structure will be elaborated in this presentation.  Our collaboration with the surgeons and engineers in Farabi Eye Hospital, the Center of Excellence in Ophthalmology, and BioRobotics Research Laboratory at Queen’s University is a valuable and constructive asset for this project. This project has been funded by Iranian National Institute for Medical Research Development and Iranian Research Network in Ophthalmology.

Speaker Bio: Hamid D. Taghirad received his B.Sc. degree in mechanical engineering from Sharif University of Technology, Tehran, Iran, in 1989. He received his M.Sc. in mechanical engineering in 1993, and his Ph.D. in electrical engineering in 1997, both from McGill University, Montreal, Canada. He is currently a Professor and the Dean of the Faculty of Electrical Engineering, and the Director of the Advanced Robotics and Automated System (ARAS) at K.N. Toosi University of Technology, Tehran, Iran. He is a senior member of IEEE, the chairman of Control System Society Chapter in IEEE Iran Section, member of the board of Industrial Control Center of Excellence (ICCE), at K.N. Toosi University of Technology, Editor in Chief of Mechatronics Magazine, and a member of the Editorial board of International Journal of Robotics: Theory and Application and International Journal of Advanced Robotic Systems. His research interest is robust and nonlinear control applied to robotic systems. His publications include five books including Parallel Robots: Mechanics and Control, and more than 200 papers in international Journals and conference proceedings.

 

This seminar is open to the general public with free admission and light refreshments. For further information, please contact Dr. Keyvan Hashtrudi-Zaad 

FREE REGISTRATION FOR IEEE MEMBERS: IEEE Kingston-Sponsored Talks at HPCS2017

Thursday, April 6th, 2017

The  IEEE Kingston Joint Communications and Computer Chapter is proud to sponsor the following plenary sessions at the 2017 High Performance Computing Symposium (HPCS2017):


The Dansgaard-Oeschger Oscillation of Glacial Climate: A Stringent Test of Global Warming Model Skill

Date:          Wednesday, June 7th, 2017.

Time:         9:00AM – 10:00AM

Venue:       Biosciences Main Auditorium (rm 1101), Queen’s University, 30 Arch St., Kingston.

Lecturer:  Dr. William Peltier, Ph.D., D.Sc., FRSC
                   University Professor of Physics, Director of the Centre for Global Change Science, Department of Physics,                                    University of Toronto

Abstract & Speaker Bio: See HPCS website

 


Using Big Data for Cognitive Computing approaches to Personalised Medicine for Preterm Birth, First Responder Resilience and Astronaut Health

Date:          Wednesday, June 7th, 2017.

Time:         1:30PM – 2:30PM

Venue:       Biosciences Main Auditorium (rm 1101), Queen’s University, 30 Arch St., Kingston.

Lecturer:  Dr. Carolyn McGregor, AM, PhD, BAPPSC, SMIEEE
                   Professor, Canada Research Chair in Health Informatics

Abstract & Speaker Bio: See HPCS website

 


Modeling Human Learning to Inform Machine Learning

Date:          Thursday, June 8th, 2017.

Time:         9:00AM – 10:00AM

Venue:       Biosciences Main Auditorium (rm 1101), Queen’s University, 30 Arch St., Kingston.

Lecturer:  Dr. Michael Jones
                   W.K. Estes Chair of Cognitive Modeling, Professor of Cognitive Science, Professor of Psychological and Brain                             Sciences, Adjunct Professor of Informatics and Computing, Indiana University, Bloomington

Abstract & Speaker Bio: See HPCS website

 


 Dispersion-Corrected Density-Functional Theory, Molecular Crystals, and Polymorphism

Date:          Thursday, June 8th, 2017.

Time:         1:30PM – 2:30PM

Venue:       Biosciences Main Auditorium (rm 1101), Queen’s University, 30 Arch St., Kingston.

Lecturer:  Dr. Erin R. Johnson
                  Associate Professor Dept. of Chemistry Dalhousie, Herzberg-Becke Chair in Theoretical Chemistry 
                   B.Sc. (Hons.) in Integrated Science (Mathematics and Chemistry) Carleton University
Ph.D. Chemistry at Queen’s University

Abstract & Speaker Bio: See HPCS website

 


SNO, SNOLAB and High Performance Computing

Date:          Friday, June 9th, 2017.

Time:         11:00AM – 12:00PM

Venue:       Biosciences Attrium, Queen’s University, 30 Arch St., Kingston.

Lecturer:  Dr.Arthur B. McDonald, CC, FRSC
Professor Emeritus, Department of Physics, Queen’s University

Abstract & Speaker Bio: See HPCS website

 

All IEEE members are invited to attend the keynote sessions by top researchers, including Nobel Laureate Dr. Arthur McDonald. Please register for free at http://2017.hpcs.ca/ using discount code: IEEE_KINGSTON

Abstracts and bios are available at http://2017.hpcs.ca/

For further information, please contact Dr. Francois Chan

ADVANCEMENTS IN THE INTERNET OF THINGS (IoT) LEADING TO BIG SENSED DATA

Thursday, November 17th, 2016

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

Advancements in the Internet of Things Leading to Big Sensed Data

Date:        Monday, November 28th, 2016.

Time:       2:00PM

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

Speaker:  Dr. Sharief Oteafy, School of Computing, Queens University

Abstract: The Internet of Things (IoT) is proliferating on reliable and scalable collection of sensed data. Meanwhile, the growing realizations of Wireless Sensor Networks (WSNs), sensing over smart devices (tablets, smartphones) and wired sensors, are all generating an exponentially increasing amount of data. The ensuing advent of Big Sensed Data (BSD) is generating critical challenges. First, collected data is mainly insightful to each deployed network, any “sense-making” processes to be built upon heterogeneously collected data faces significant interoperability problems, exposing challenges with varying quality, data-labelling inconsistencies, inaccuracies, time-sensitivities and different reporting granularities. Second, sensing systems inherently adopt a collect-and-report model, whereby collected data is indiscriminately pushed onto the networking infrastructure, regardless of the Quality of Information (QoI) or its value (VoI). Not only do we face scalability issues, but establishing reliable Information Services on top of BSD is not attainable over inconsistently collected, validated and reported data. Thus, the future of Big Data is hampered by the sheer volume of reported data, its uncalibrated discrepancies, and worse by the flood of redundant and lower quality data. Real-time decision making is inherently built on the efficacy of ubiquitous sensing systems, not on the aggregation of devices that are isolated in operation and management. In a time when important IoT applications such as health Informatics and emergency services require rapid and scalable access to contextual information about patients, mobile crowds and the general public, the status quo falls significantly short.

Speaker Bio: Sharief M. A. Oteafy (S’08–M’13) is an Adjunct Assistant Professor at the School of Computing, Queen’s University. Dr. Oteafy received his PhD in 2013 from Queens University, focusing on adaptive resource management in Next Generation Sensing Networks, introducing the notion of Organic WSNs that adapt to their environment and scale in functionality with resource augmentation. Dr. Oteafy’s current research focuses on dynamic architectures for enabling large scale synergy in the Internet of Things; encompassing dynamic resource management across IoT platforms, in addition to managing the proliferation of Big Sensed Data. Dr. Oteafy is actively engaged in the IEEE Communications Society, and an IEEE and ACM member since 2008. Dr. Oteafy is an active member of the IEEE ComSoc Standards Association as the AHSN Standards Liaison, and a member in the ComSoc Tactile Internet standard WG. Dr. Oteafy co-authored a book on “Dynamic Wireless Sensor Networks”, published by Wiley, and presented over 40 peer-reviewed publications in Sensing systems and IoT. Dr. Oteafy co-chaired a number of IEEE workshops, in conjunction with IEEE ICC and IEEE LCN conferences, and served on the TPC of numerous IEEE and ACM symposia. Dr. Oteafy has delivered tutorials on Big Sensed Data management in IEEE ICC, IEEE CAMAD and IEEE Globecom conferences, and serves as an Associate Editor in IEEE Access.

 

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

A PERSPECTIVE ON THE DEVELOPMENT OF DEFENCE ELECTRONIC SYSTEMS

Saturday, September 3rd, 2016

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

A Perspective on the Development of Defence Electronic Systems

Date:       Thursday, September 8th, 2016.

Time:       3:00PM

Venue:     S4214 (Sawyer Building),  Royal Military College of Canada

Speaker:  Robert Inkol (previously with Defence Research and Development Canada – DRDC)

Abstract: In the development of defence electronic systems, there are inevitably numerous challenges and pitfalls that must be identified and addressed if useful results are to be realized. This presentation draws on the author’s previous experiences with Defence R&D Canada to explore real world issues in the development of defence electronic systems. While this presentation is of particular interest to engineers who are or will be involved in the development, procurement and life cycle management of defence electronic systems, it will also be of interest to those having a broader interest in system engineering.

Speaker Bio: Robert Inkol (M’73 – SM’86)  received the B.Sc. and M.A.Sc. degrees in Applied Physics and Electrical Engineering from the University of Waterloo in 1976 and 1978, respectively. From 1978 to 2012, he was a Defence Scientist with Defence Research and Development Canada (DRDC) where he was responsible for the technical leadership of various electronic warfare related projects and research programs. He was responsible for numerous contributions to the application of very large scale integrated circuit technology and digital signal processing techniques to electronic warfare systems. In addition to having produced numerous publications, Mr. Inkol holds four patents. He is a Senior Member of IEEE, and has served as a reviewer for various publications and as a Technical Program Committee member for several IEEE conferences. In 2012, he received the Queen Elizabeth II Diamond Jubilee medal. Since 2014, he has carried out several studies and investigations on EW related topics for MDA Corporation.

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