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CMOS Bioelectronics

Tuesday, January 17th, 2017

Friday January 20, 2017 at 2:10 p.m. Professor Ken Shepard, Electrical and Biomedical Engineering at Columbia University, will be presenting “CMOS Bioelectronics”.

Speaker: Prof. Ken Shepard
Electrical and Biomedical Engineering
Columbia University

Day & Time: Friday, January 20th, 2017
2:10 pm – 3:00 pm

Location: Room GB 248, 35 St George St, Toronto, ON M5S 1A4

Contact: Junho Jeong

Organizer: IEEE Toronto Photonics Chapter

**Refreshments will be served**

Abstract: CMOS electronics, which has revolutionized communications and computation in the last 30 years, has the same transformative potential for life science applications with appropriate “more than Moore” augmentation. In this talk, we will outline work in my group over the last 10 years, which has applied augmented CMOS to problems in molecular diagnostics, microbiology, and neuroscience. We will discuss several on-going projects in my group in these areas include high-bandwidth CMOS-integrated nanopores, point-functionalized nanotube devices integrated on CMOS for genomic diagnostics, electrochemical imaging chips for understanding microbial communities, high-density electrophysiological arrays for in vivo and in vitro studies of neural systems, biologically powered solid-state electronics, and various wireless probes to studying neural and cellular systems.

Biography: Ken Shepard received the B.S.E. degree from Princeton University, Princeton, NJ, in 1987 and the M.S. and Ph.D. degrees in electrical engineering from Stanford University, Stanford, CA, in 1988 and 1992, respectively. From 1992 to 1997, he was a Research Staff Member and Manager with the VLSI Design Department, IBM T. J. Watson Research Center, Yorktown Heights, NY, where he was responsible for the design methodology for IBM’s G4 S/390 microprocessors. Since 1997, he has been with Columbia University, New York, where he is now the Lau Familty Professor of Electrical Engineering and Biomedical Engineering. He also was Chief Technology Officer of CadMOS Design Technology, San Jose, CA, until its acquisition by Cadence Design Systems in 2001. He is current serving on the board of two other start-ups, Ferric, commercializing integrated voltage regulator technology, and Quicksilver, commercializing single-molecule electronic genomic diagnostics. His current research interests include power electronics, carbon-based devices and circuits, and CMOS bioelectronics.

Abstraction in Situation Calculus Action Theories

Thursday, January 12th, 2017

Monday January 23, 2017 at 12:00 p.m. Bita Banihashemi, PhD Candidate in Computer Science at York University, will be presenting “Abstraction in Situation Calculus Action Theories”.

Speaker: Bita Banihashemi
PhD Candidate, Computer Science
York University

Day & Time: Monday, January 23, 2017
12:00 p.m. – 1:00 p.m.

Location: Room TRS2164, 575 Bay Street (entrance at 55 Dundas Street West), Ryerson University

Contact: Maryam Davoudpour

Organizer: WIE, Magnetics, Measurement/Instrumentation-Robotics

Abstract: We develop a general framework for agent abstraction based on the situation calculus and the ConGolog agent programming language. We assume that we have a high-level specification and a low-level specification of the agent, both represented as basic action theories. A refinement mapping specifies how each high-level action is implemented by a low-level ConGolog program and how each high-level fluent can be translated into a low-level formula. We define a notion of sound abstraction between such action theories in terms of the existence of a suitable bisimulation between their respective models. Sound abstractions have many useful properties that ensure that we can reason about the agent’s actions (e.g., executability, projection, and planning) at the abstract level, and refine and concretely execute them at the low level. We also characterize the notion of complete abstraction where all actions (including exogenous ones) that the high level thinks can happen can in fact occur at the low level.

Biography: Bita Banihashemi is currently a PhD candidate in Computer Science at York University. Her research is primarily focused on agent supervision, which is a form of control/customization of an agent’s behavior. Her research interests include Knowledge Representation and Reasoning, Autonomous Agents and Multi-agent Systems, and AI and the Web.

Top 10 Ways to Design Safer Embedded Software

Wednesday, December 21st, 2016

Thursday January 26th, 2017 at 9:00 a.m. the IEEE Computer Society Toronto Chapter will be holding a Training Course: Top 10 Ways to Design Safer Embedded Software.

Abstract: Embedded systems are everywhere these days: from implantable medical devices to self-driving cars. The risks of human injury are also multiplying as more embedded systems connect to the Internet and become open to hacking as well as malfunction.

There are design techniques that can be applied to develop safer and more reliable embedded systems. As we consult with companies in a range of industries, we are continually surprised that such techniques–including the 10 techniques you will be exposed to in this course–are not more widely known and practiced.

Register today to join us at this important 1-day course where the focus is on minimizing the risk of injury or loss by firmware malfunction though a combination of lightweight, demonstrably-valuable design techniques.

RSVP is required. Visit https://events.vtools.ieee.org/meeting_registration/register/42587

Agenda: 9:00am Coffee*
9:30am Morning Session
12:30pm Lunch*
1:30pm Afternoon Session
3:30pm End (approx.)

* Morning coffee and lunch are included in the registration fee.

Prerequisites: Attendees should be generally familiar with the terminology of embedded software or have first-hand experience doing embedded systems design.

Fees: IEEE Members: CDN $135 + 13% HST
Non-Members: CDN $160 + 13% HST

Day & Time: Thursday, January 26th, 2017
9:00 a.m. – 4:00 p.m.

Location: Room CB 114, Best Institute (University of Toronto)
112 College Street
Toronto, ON M5G 1L6 Canada

Campus Map: http://map.utoronto.ca/building/052

Public Parking (Toronto General Hospital Parking Garage): https://www.google.ca/maps/place/Toronto+General+Hospital+Parking+Garage/@43.6589808,-79.3865625,15z/data=!4m5!3m4!1s0x0:0xd777822577805e72!8m2!3d43.6589808!4d-79.3865625

5G RAN – Standards Developments

Saturday, December 10th, 2016

Wednesday December 14th, 2016 at 4:30 p.m. Dr. Ivo Maljevic, senior member of TELUS technology strategy team, will be presenting “5G RAN – Standards Developments”.

Speaker: Dr. Ivo Maljevic
Senior Member, TELUS Technology Strategy Team, Chief Technology Office
Adjunct Lecturer, University of Toronto

Day & Time: Wednesday, December 14th, 2016
4:30 p.m. – 5:30 p.m.

Location: Room BA1230
Bahen Centre for Information Technology
40 St. George St, Toronto, ON M5S 2E4
University of Toronto

Organizer: IEEE Communications Society

Contact: Eman Hammad

Abstract: The 3GPP is in the process of standardizing the next, 5th generation of mobile communications. This talk provides an up to date overview of the current standardization status and focuses on the Radio Access Network (RAN) part. Specifically, it addresses the completion timelines of each of the phases (there are 3 phases), use cases that are driving the design and architecture options. Additionally, 5G spectrum, key performance targets & requirements and air interface proposals and open areas for research are discussed. Finally, the talk privies an up to data information about the 5G trials conducted so far.

Biography: Dr. Ivo Maljevic is a senior member of TELUS technology strategy team within the Chief Technology Office, where he focuses on defining a long-term vision for the RAN, spectrum strategy and standardization. In terms of broader industry involvement, in the past he has participated in the Canadian Evaluation Group for the IMT-Advanced proposal, and now he is actively involved in NGMNs and ATIS 5G initiatives. He also participates in 3GPP RAN sessions. Additionally, Ivo is an adjunct lecturer at the University of Toronto. Prior to TELUS, he was with Soma Networks, and before that, he worked at Motorola Canada. His areas of expertise include LTE/WiMAX/CDMA wireless systems, software defined radio, signal processing, and digital communications theory.

Developing Wearable Technologies for improved management of sleep-related breathing disorders

Wednesday, November 23rd, 2016

Tuesday November 29th, 2016 at 2:30 p.m. Dr. Azadeh Yadollahi, Scientist at SleepdB Laboratory and Assistant Professor at University of Toronto, will be presenting “Developing Wearable Technologies for improved management of sleep-related breathing disorders”.

Speaker: Dr. Azadeh Yadollahi
Scientist, SleepdB Laboratory, Toronto Rehabilitation Institute
Assistant Professor, Biomaterial & Biomedical Engineering, University of Toronto
Adjunct Faculty, Department of Biomedical Engineering, University of Manitoba

Day & Time: Tuesday, November 29th, 2016
2:30 p.m. – 3:30 p.m.

Location: Room ENG-460
245 Church Street, Toronto, ON
Ryerson University

Organizer: IEEE Signal Processing Chapter Toronto Section

Contact: Mehrnaz Shokrollahi

Abstract: Over four million Canadians live with a chronic respiratory disease such as asthma, chronic obstructive pulmonary disease (COPD) or obstructive sleep apnea (OSA)—all of which are associated with high morbidity. In Canada, 6.5% of total health care costs are related to these disorders, amounting to $5.7B in direct and $6.72B in indirect costs per year. Moreover, the overlap between asthma, COPD, and OSA is common, is clinically important, worsens quality of life, and is associated with greater morbidity and mortality more than the sum of the contributing disorders. A feature common to chronic respiratory diseases is that their symptoms, eg. shortness of breath, worsen during sleep. Most emergency visits and deaths related to asthma and COPD occur during the night. However, our understanding of the mechanisms of respiratory disorders exacerbation at night is limited; which consequently challenges our ability to manage these disorders. One of the main barriers to determine the underlying pathophysiology of sleep-related respiratory disorders is that the available technologies to perform studies are expensive, invasive, and confound normal breathing and sleep patterns. Therefore, the results may not be applicable to a wide range of people or over a long period of time to evaluate treatments and interventions. Therefore, the mechanistic link between sleep and respiratory disease, particularly the role of night-time fluid redistribution, is not well understood. To address this gap, my team is developing novel technologies to monitor respiratory related physiological signals during sleep, as well and technologies to non-invasively assess tissue composition, and its role on the pathophysiology of sleep related breathing disorders.

Biography: Dr. Azadeh Yadollahi is a Scientist at the Toronto Rehabilitation Institute – University Health Network, where she leads the SleepdB laboratory. She is also an Assistant Professor in the Institute of Biomaterial and Biomedical Engineering, University of Toronto and Adjunct Faculty Member in the Graduate Department of Biomedical Engineering at the University of Manitoba. Her research aims to determine the pathophysiology of sleep-related breathing disorders and to develop novel technologies for improved management of these disorders. She is particularly interested in developing innovative technologies for monitoring of physiological signals at home and implementing personalized treatments for older populations with chronic sleep-related respiratory diseases. To date, Dr. Yadollahi has authored and co-authored more than 30 peer-reviewed publications, had more than 60 presentations at national and international conferences, and been invited 26 times to give presentations on her research at prominent national and international academic institutions. Her research is supported by grants from the Canada Foundation for Innovation, Natural Sciences and Engineering Research Council of Canada (NSERC), Canadian Respiratory Research Network, and Ontario Centres of Excellence, among others. In the past 10 years, Dr. Yadollahi has been instrumental in developing new wearable technologies for improved diagnosis and treatment of breathing disorders during sleep. At Toronto Rehab, Dr. Yadollahi is leading SleepdB, a Sound-proof laboratory to examine sleep-disordered Breathing. SleepdB is the first laboratory in the world dedicated to understanding the mechanisms of airway narrowing during sleep and to developing acoustic technologies to improve sleep-related respiratory disorders. This laboratory will also serve as a hub for knowledge translation and exchange between researchers and clinicians to advance clinically relevant research and implement cutting-edge assessments and treatments for breathing disorders.

Women in Robotics Series: Erica Tiberia, Roboticist and Educator

Wednesday, November 16th, 2016

Thursday December 8, 2016 at 6:00 p.m. Erica Tiberia, roboticist, creative technologist, educator and entrepreneur, will be presenting “Women in Robotics Series”.

Speaker: Erica Tiberia
Roboticist, Creative Technologist, Educator and Entrepreneur

Day & Time: Thursday, December 8, 2016
6:00 p.m. – 9:00 p.m.

Location: Health Innovation Hub
263 McCaul Avenue, Toronto, ON

The meeting room is on the first floor. Note that the doors to H2I will lock at 6 but someone will be there to let you in. Please knock.

Organizer: IEEE Toronto Section, Engineering in Medicine and Biology Society (EMBS) and the IEEE Women in Engineering Toronto Section (WIE)

RVSP at https://www.meetup.com/Get-Your-Bot-On-Robotics-Hackathon/events/234793342/

Agenda: 6:00 pm – Networking
6:30 pm – Welcome
6:40 pm – Erica Tiberia – talk and Q&A
7:40 pm – Pitches from the community – Community members can ask for assistance on their projects
8:00 pm – Networking
9:00 pm – Close

Biography: Erica is a tech educator and creative technologist. She has a technical background in molecular biology and biotechnology and a passion for science communication, digital education, and emerging technology. She has designed and coordinated education programs involving electronics, robotics, digital fabrication and programming for kids and adults. She also designs, builds and programs robots and is a level 1 winner of the 2016 sample return robot NASA Centennial Challenge. Her work has been featured on Bloomberg Tech, Discovery Channel’s Daily Planet, NASA.gov and more.

A scientist by training, Erica has a B.Sc. In Molecular Biology and Biotechnology from the University of Waterloo. She completed M.Sc. work on research done at the Department of Medical Biophysics at the University of Toronto. She has done molecular biology research at Cornell University, the University of Waterloo, the Hospital for Sick Children, and the Princess Margaret Cancer Center, and is an author of multiple peer reviewed scientific papers.

AI-Based Software Defect Predictors: Applications and Benefits and Lessons Learned

Monday, November 14th, 2016

Monday November 21, 2016 at 11:00 a.m. Dr. Ayse Basar Bener, professor and director of Data Science Laboratory at Ryerson University, will be presenting “AI-Based Software Defect Predictors: Applications and Benefits and Lessons Learned”.

Speaker: Dr. Ayse Basar Bener
Professor, Director of Data Science Laboratory, Department of Mechanical and Industrial Engineering
Director of Big Data, Office of Provost and Vice President Academic
Ryerson University

Day & Time: Monday, November 21, 2016
11:00 a.m. – 12:00 p.m.

Location: KHE 225, Ryerson University, 340 Church Street, Toronto

Contact: Maryam Davoudpour

Organizer: WIE, Magnetics, Measurement/Instrumentation-Robotics, Computer Science Department of Ryerson University

Abstract: Software analytics guide practitioners in decision making throughout the software development process. In this context, prediction models can help managers efficiently organize their resources and identify problems by analyzing patterns on existing project data in an intelligent and meaningful manner. In this talk I will share my experiences building and deploying AI (machine learning) models in software organizations over 15 years. We have encountered similar data analytics patterns in diverse organizations and in different problem cases. I will give examples from deployed projects and discuss these patterns following a “software analytics” framework: problem identification, data collection, descriptive statistics, and decision making.

Biography: Dr. Ayse Basar Bener is a professor and the director of Data Science Laboratory (DSL) in the Department of Mechanical and Industrial Engineering, Ryerson University. She is the director of Big Data in the Office of Provost and Vice President Academic at Ryerson University. She is a faculty research fellow of IBM Toronto Labs Centre for Advance Studies, and affiliate research scientist in St. Michael’s Hospital in Toronto. Her current research focus is big data applications to tackle the problem of decision-making under uncertainty by using machine learning methods and graph theory to analyze complex structures in big data to build recommender systems and predictive models. She is a member of AAAI, INFORMS, AIS, and senior member of IEEE.

Health Informatics Evening at Centennial College

Saturday, November 12th, 2016

Wednesday November 16, 2016 at 5:30 p.m. Igor Sirkovich, Vikki Leung, Karim Keshavjee and Jimmy Poulin, will be presenting “Health Informatics Evening at Centennial College”.

Speakers & Agenda: 5:15 to 5:30 Event Registration

1. Igor Sirkovich from 5:30 PM to 6:00 PM
Founder and CEO of Xpertera
HL7 FHIR and eHealth Architecture Consultant at Ontario Ministry of Health and Long-Term Care
Presentation title: Current initiatives at the Ministry of Health and eHealth Ontario, pan-Canadian standards collaborative, and health informatics standards (HL7 FHIR), Xpertera introduction.

2. Vikki Leung from 6:00 PM to 6:30 PM
Full Stack Developer at Interdev Technologies Inc.
Presentation title: Technology used for Community Paramedic Services, Interdev Technologies

3. Karim Keshavjee, MD from 6:30 PM to 7:00 PM
CEO of InfoClin Inc.
Adjunct Professor at University of Toronto, University of Victoria
Visiting Scholar at Ryerson University
Associate Member at Centre for Evaluation of Medicine, McMaster University
Numerous publications on Health Informatics studies and medicine
Presentation title: Health Apps by Design: A reference architecture for mobile apps for health

4. Jimmy Poulin from 7:00 PM to 7:30 PM
Director of Operations at m-Health Solutions
Presentation title: ECG signal remote collection via mobile wireless external recorder and smartphone.

5. NSERC speaker (name will be announced later) from 7:30 PM to 8:00 PM
Presentation: Funding opportunities for College Students in Science and Technologies programs.

8:00 to 8:30 PM Networking

Day & Time: Wednesday, November 16, 2016
5:30 p.m. – 8:30 p.m.

Location: Room L1-02, Centennial College, Progress Campus
941 Progress Ave., Toronto, Ontario, M1G 3T8
Map: http://www.centennialcollege.ca/about-centennial/contact-us/campus-locations/

Organizers: IEEE Toronto WIE, Nicoleta Zouri
IEEE Toronto WIE, Magnetics, Measurement/Instrumentation-Robotics, Maryam Davoudpour

Registration: Registration is free, but space is limited. Please register via email to Nicoleta Zouri

Abstract: Offered as part of the Experiential Learning process for students in Health Informatics Program at Centennial College, this event facilitate skills and knowledge transfer between audience and speakers through an interactive session. Digital health solutions will be discussed and software demos will be presented.

Digital Health Initiatives at eHealth Ontario

Monday, November 7th, 2016

Friday November 11, 2016 at 11:30 a.m. Hosna Sedghi, Project Manager at eHealth Ontario, will be presenting “Digital Health Initiatives at eHealth Ontario”.

Speaker: Hosna Sedghi, MSc, PMP
Project Manager, eHealth Ontario

Day & Time: Friday, November 11, 2016
11:30 a.m. – 12:30 p.m.

Location: Room A3-21, Centennial College, Progress Campus
941 Progress Ave., Toronto, Ontario, M1G 3T8
Map: http://www.centennialcollege.ca/about-centennial/contact-us/campus-locations/

Organizers: IEEE Toronto WIE, Nicoleta Zouri
IEEE Toronto WIE, Magnetics, Measurement/Instrumentation-Robotics, Maryam Davoudpour

Registration: Registration is free, but space is limited. Please register via email to Nicoleta Zouri

Abstract: eHealth Ontario was established by the provincial government in September 2008 as an independent agency of the Ontario Ministry of Health and Long-Term Care. eHealth Ontario is enabling physicians and health care providers to establish and maintain electronic health records (EHRs) for all of Ontario’s 13 million residents.

Biography: With a background in software engineering Hosna Sedghi has worked as a project manager at eHealth Ontario for the past 3 years and as a project lead previous to that. Hosna has extensive experience with HL7 standards, business analysis, system analysis, integration, and health information.

Who Are We Studying in Social Media: Bots or Humans?

Friday, November 4th, 2016

Thursday November 24, 2016 at 12:00 p.m. Dr. Anatoliy Gruzd, Associate Professor of Ted Rogers School of Management and Canada Research Chair in Social Media Data Stewardship, will be presenting “Who Are We Studying in Social Media: Bots or Humans?”.

Speaker: Dr. Anatoliy Gruzd
Associate Professor
Ted Rogers School of Management, Ryerson University
Canada Research Chair in Social Media Data Stewardship

Day & Time: Thursday, November 24, 2016
12:00 p.m. – 1:00 p.m.

Location: Room ENG 288, George Vari Centre for Computing and Engineering, 245 Church Street
Ryerson University, Toronto, Ontario, M5B 2K3
Map: http://www.ryerson.ca/maps – Look for ENG

Organizers: IEEE Toronto Systems Chapter, Alexei Botchkarev
IEEE Toronto WIE, Magnetics, Measurement/Instrumentation-Robotics, Computer Science Department of Ryerson University
Maryam Davoudpour

Registration: Registration is free, but space is limited. Please register via http://tinyurl.com/systemsChapterEvent24

Abstract: Researchers studying various online and computer-mediated communities used to be able to argue that the online is an extension of the offline, and that offline and online are just different slices of real life. But the increasing number of bots in our datasets and the increasing use of algorithmic filtering by social media giants are widening the gap between online and offline, and between computer-mediated and algorithm-driven communication. This in turn makes some online data less reliable, at least for those of us studying human behavior. It also begs the question, if we are using data from social media for modelling, are we modelling human behavior in social media or simply reverse engineering how bots and other algorithms operate? Therefore, there is an urgent need to better understand the nature of bots and algorithmic filtering, and their influence on users’ online interactions, not just from a computational, but also from sociological perspective. This talk will discuss some of the key challenges and possible solutions to detecting social bots in the context of conducting social media research.

Biography: Dr. Anatoliy Gruzd is a Canada Research Chair in Social Media Data Stewardship, Associate Professor in the Ted Rogers School of Management at Ryerson University. He is also the Director of the Social Media Lab and a co-editor of a multidisciplinary journal on Big Data and Society published by Sage. Dr. Gruzd’s research initiatives explore how the advent of social media and the growing availability of social big data are changing the ways in which people communicate, collaborate and disseminate information and how these changes impact the social, economic and political norms and structures of modern society. Dr. Gruzd and his lab are also actively developing and evaluating new approaches and tools to support social media data analytics and stewardship.

His research and commentaries have been reported across Canada and internationally in various mass media outlets such as Foreign Affairs, Los Angeles Times, Nature.com, The Atlantic, The Globe and Mail, The National Post, The Canadian Press, CBC TV, CBC Radio, CTV and Global TV.