IEEE Toronto Section

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Archive for the ‘Women in Engineering’ Category

Big Data

Tuesday, February 21st, 2017

Monday March 6, 2017 at 12:00 p.m. Dr. Ann Cavoukian will be presenting “Big Data”.

Day & Time: Monday, March 6th, 2017
12:00 p.m. – 1:00 p.m.

Speaker: Dr. Ann Cavoukian

Location: Room TRS2164 (8th Floor of the Building)
575 Bay Street (Entrance at 55 Dundas Street West), Ryerson University

Contact: Dr. Maryam Davoudpour

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

Biography: Dr. Ann Cavoukian is recognized as one of the world’s leading privacy experts. She is presently the Executive Director of Ryerson University’s Privacy and Big Data Institute. Dr. Cavoukian served an unprecedented three terms as the Information & Privacy Commissioner of Ontario, Canada. There she created Privacy by Design, a framework that seeks to proactively embed privacy into design, thereby achieving the strongest protection possible. In 2010, International Privacy Regulators unanimously passed a Resolution recognizing Privacy by Design as an international standard. Since then, PbD has been translated into 39 languages.

Dr. Cavoukian has received numerous awards recognizing her leadership in privacy, most recently as of the Top 100 Leaders in Identity (January, 2017).

Health Apps by Design: A Reference Architecture for Mobile Apps for Health

Tuesday, February 21st, 2017

Monday February 27, 2017 at 12:00 p.m. Dr. Karim Keshavjee will be presenting “Health Apps by Design: A Reference Architecture for Mobile Apps for Health”.

Day & Time: Monday, February 27th, 2017
12:00 p.m. – 1:00 p.m.

Speaker: Dr. Karim Keshavjee

Location: Room TRS2164 (8th Floor of the Building)
575 Bay Street (Entrance at 55 Dundas Street West), Ryerson University

Contact: Dr. Maryam Davoudpour

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

Biography: Karim is a Family Physician with over 25 years of experience designing, developing and implementing Electronic Health Records/Electronic Medical Records and helping clinicians use them effectively. Currently working on architecting a scalable and sustainable technology system that will help us prevent diabetes cost-effectively. Diabetes prevention is feasible, but is not cost-effective. I believe an engineered solution could change things dramatically.

Micro-Scale Robots: Magnetic Actuation for Wireless Manipulation

Saturday, February 4th, 2017

Monday February 13, 2017 at 12:00 p.m. Dr. Diller, Assistant Professor in the department of Mechanical and Industrial Engineering at the University of Toronto, will be presenting “Micro-Scale Robots: Magnetic Actuation for Wireless Manipulation”.

Speaker: Dr. Diller
Assistant Professor, Mechanical and Industrial Engineering, University of Toronto

Day & Time: Monday, February 13th, 2017
12:00 p.m. to 1:00 p.m.

Location: Room TRS2164, 575 Bay Street (Entrance at 55 Dundas Street West)
Ryerson University (TRS2164 is on the 8th floor of the building)

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

Abstract: Micro-scale mobile robots can physically access small spaces in a versatile and non-invasive manner. Such microrobots under 1 mm in size have potential unique applications for object manipulation, local sensing and cargo delivery in healthcare, microfluidics and advanced materials fabrication. These devices are powered and controlled remotely using externally-applied magnetic fields for motion in 2D and 3D. This talk will introduce our experimental work in micro-manipulation using single and teams of these devices.

Biography: Dr. Diller is an Assistant Professor in the department of Mechanical and Industrial Engineering at the University of Toronto. He received his B.S. and M.S. in Mechanical Engineering at Case Western Reserve University, and Ph.D. at Carnegie Mellon University in 2013. His current work focuses on fabrication and control relating to remote actuation of micro-scale devices using magnetic fields, medical robotics, smart materials, and swimming at small size scales.

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.

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.

Operational-Log Analysis for Big Data Systems: Challenges and Solutions

Monday, October 24th, 2016

Friday November 18, 2016 at 12:00 p.m. Dr. Andriy Miranskyy, Assistant Professor at the Department of Computer Science, Ryerson University, will be presenting “Operational-Log Analysis for Big Data Systems: Challenges and Solutions”.

Speaker: Dr. Andriy Miranskyy
Assistant Professor, Department of Computer Science, Ryerson University

Day & Time: Friday, November 18, 2016
12:00 p.m. – 1:00 p.m.

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

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

Organizers: IEEE Toronto Systems Chapter, Alexei Botchkarev albot@ieee.org
IEEE Toronto WIE, Magnetics, Measurement/Instrumentation-Robotics and Computer Science Department of Ryerson University
IEEE Toronto WIE Chair: Maryam Davoudpour maryam.davoudpour@ieee.org

Abstract: Big data systems (BDSs) are complex, consisting of multiple interacting hardware software components, such as distributed compute nodes, networking, databases, middleware, business intelligence layer, and high availability infrastructure. Any of these components can fail. Finding the failures’ root causes is extremely laborious. Analysis of BDS-generated logs can speed up this process. The logs can also help improve testing processes, detect security breaches, customize operational profiles, and aid with any other tasks requiring runtime-data analysis.

However, practical challenges hamper log analysis tools’ adoption. The logs emitted by a BDS can be thought of as big data themselves. When working with large logs, practitioners face seven main issues: scarce storage, unscalable log analysis, inaccurate capture and replay of logs, inadequate log-processing tools, incorrect log classification, a variety of log formats, and inadequate privacy of sensitive data. This talk describes the challenges and practical solutions faced while building and institutionalizing dynamic analysis tools in the industry.

Biography: Andriy Miranskyy is an assistant professor at the Department of Computer Science, Ryerson University. His research interests are in the area of mitigating risk in software engineering, focusing on software quality assurance, program comprehension, software requirements, project risk management, Big Data, and Green IT. Andriy received his Ph.D. in Applied Mathematics at the University of Western Ontario. He has 17 years of software engineering experience in information management and pharmaceutical industries. Prior to joining Ryerson, Andriy worked as a software engineer in the IBM Information Management division at the IBM Toronto Software Laboratory; currently, he is the Faculty Fellow of the IBM Centre for Advanced Studies. He has served as Guest Editor for a special edition of IEEE Software as well as organizer, committee member, and reviewer for several software engineering workshops and conferences.