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  • Segmentation-Aware Convolutional Nets

    Room ENG 288, George Vari Centre for Computing and Engineering, 245 Church St., Toronto, ON, M5B 2K3

    Thursday April 14th, 2016 at 2:15 p.m. Adam Harley will be presenting “Segmentation-Aware Convolutional Nets”. Speaker: Adam Harley Day & Time: Thursday, April 14th, 2016 2:15 p.m. – 3:15 p.m. Location: Room ENG 288 Computer Science Department George Vari Centre for Computing and Engineering Ryerson University 245 Church St., Toronto, ON, M5B 2K3 Organizer: IEEE Magnetics Chapter, IEEE Instrumentation & Measurement Joint Chapter and Computer Science Department Ryerson University Contact: Dr. Maryam Davoudpour Abstract: In this talk, I will propose a new deep convolutional neural network (DCNN) architecture that learns pixel embeddings, such that pairwise distances between the embeddings can be used to infer whether or not the pixels lie on the same region. Experimental results show that when this embedding network is used in conjunction with a DCNN trained on semantic segmentation, there is a systematic improvement in per-pixel classification accuracy. The contributions of this work consist in straightforward modifications to convolution routines. As such, they can be exploited for any task involving convolution layers, including object recognition, image retrieval, and video understanding. Biography: Adam Harley received a BA (Honours) degree in psychology from Ryerson University in 2012, and was awarded the Canadian Psychological Association’s Certificate of Academic Excellence for his undergraduate thesis. Subsequently he began a computer science undergraduate degree at Ryerson, where he was awarded the NSERC USRA. In 2014 he joined Ryerson’s MSc program in computer science. During the MSc he did research at INRIA in France, as part of a Mitacs-Globalink research award. He is a recipient of the Queen Elizabeth II Graduate Scholarship for 2015. His main areas of research interest are computer vision and artificial intelligence.

  • Internet of Things, building blocks, challenges and research directions

    Room ENG288, 245 Church Street, Toronto, ON, Canada

    Tuesday May 31st, 2016 at 11:30 a.m. Dr. Fatima Hussain will be presenting “Internet of Things, building blocks, challenges and research directions”. Speaker: Dr. Fatima Hussain Day & Time: Tuesday, May 31st, 2016 11:30 a.m. – 12:30 p.m. Location: Room ENG 288 Computer Science Department, George Vari Centre for Computing and Engineering, Ryerson University 245 Church St., Toronto, ON, M5B 2K3 Organizer: IEEE Women in Engineering (WIE), IEEE Magnetics Chapter, IEEE Instrumentation & Measurement/Robotics & Automation Joint Chapter and Computer Science Department Ryerson University Contact: Dr. Maryam Davoudpour Abstract: The Internet of Things (IoT) is a novel paradigm that is rapidly growing in modern wireless telecommunications. IoT means a world-wide network of interconnected objects uniquely addressable, sustainable and enhance able. It is defined as integration of several technologies, and communications solutions based on standard communication protocols. The main strength of the IoT idea is the high impact it will have on several aspects of everyday-life and behavior of potential users. This promising technology comes with great challenges and leads to numerous research directions for industry as well academia. Biography: Fatima Hussain received her PhD and MASc. degree in Electrical and Computer Engineering with specialization in “Wireless Communication” from Ryerson University, Canada. She holds MEng. and BSc. in Electrical and Computer Engineering with specialization in “Controls System” and “Telecommunication Systems”, respectively from University of Engineering and Technology Lahore, Pakistan. She is acting as a reviewer for IEEE Access journal and IET Journal from couple of years. She is working as a post-doctoral fellow in NCART lab, Ryerson University, on a design and implementation of “Smart Parking System”.

  • Optimization and Research: Applications, Opportunities, and Challenges

    Room ENG 288 245 Church St., Toronto, ON, M5B 2K3

    June 20, 2016 at 1:00 p.m. Dr. Shahryar Rahnamayan, Associate Professor in the Department of Electrical, Computer and Software Engineering Faculty of Engineering and Applied Science at UOIT, will be presenting “Optimization and Research: Applications, Opportunities, and Challenges”. Speaker: Dr. Shahryar Rahnamayan Associate Professor Department of Electrical, Computer and Software Engineering Faculty of Engineering and Applied Science, UOIT Day & Time: Monday, June 20, 2016 1:00 p.m. – 2:00 p.m. Location: Room ENG 288 245 Church St., Toronto, ON, M5B 2K3 Organizer: IEEE Women in Engineering (WIE), IEEE Magnetics Chapter, IEEE Instrumentation & Measurement/Robotics & Automation Joint Chapter and Computer Science Department Ryerson University Contact: Dr. Maryam Davoudpour Abstract: In this research seminar, the speaker will explain his recent optimization research work and accomplishments, categorized in the following two main groups of contributions: theoretical/developmental and practical. The first group will cover his contributions in large-scale optimization, opposition-based computation, many-objective optimization, image-based large-scale visualization and interaction, incremental cooperative coevolution, micro-differential evolution, 3D visualization of many-objective Pareto-front, preserving constraint handling, decision making in high-dimensional objective space, and multi-modal optimization. In the practical category, the speaker will explain several real-world applications to demonstrate effectiveness of optimization in medical image processing, renewable energy systems, forensic science, scheduling, and wireless sensors network. This seminar will be beneficial for faculty and students who conduct ‘research in optimization’ or ‘optimization in research’. Biography: Dr. Shahryar Rahnamayan received his B.Sc. and M.S. degrees both with honors in software engineering. In 2007, he received his Ph.D. degree in the field of evolutionary computation from Systems Design Engineering Department, University of Waterloo. Inspired from opposition-based differential evolution algorithm (ODE), more than 450 papers have been published. Before joining to the faculty of engineering and applied science, University of Ontario Institute of Technology (UOIT), Canada, as a tenure-track faculty member, he was a postdoctoral fellow at Simon Fraser University (SFU), Canada. He was granted tenure earlier and also was promoted to an associate professor position in 2013. His research includes evolutionary computation, image processing, machine learning, and opposition-based soft computing. Dr. Rahnamayan was awarded the Ontario Graduate Scholarship (OGS), President’s Graduate Scholarship (PGS), NSERC’s Japan Society for the Promotion of Science (JSPS) Fellowship, NSERC’s Industrial R&D Fellowship (IRDF), NSERC’s Visiting Fellowship in Canadian Government Laboratories (VF), and the Canadian Institute of Health Research (CIHR) Fellowship for two times. He has published more than 100 papers, Dr. Rahnamayan has received several prestigious research grants, such as, NSERC Discovery Grant and also Applied Research and Commercialization Initiative Fund. He recently visited the Michigan State University (MSU) and BEACON Research Center for two years in order to conduct research on large-scale and multi-objective optimization and visualization.

  • Ground Truth Bias in External Cluster Validity Indices

    ENG 106, 245 Church Street, Toronto, ON

    June 28, 2016 at 2:00 p.m. IEEE CIS Distinguished Lecturer James C. Bezdek will be presenting “Ground Truth Bias in External Cluster Validity Indices”. Speaker: James C. Bezdek IEEE CIS Distinguished Lecturer Day & Time: Tuesday, June 28, 2016 2:00 p.m. – 4:00 p.m. Location: Room ENG 106, George Vary Engineering & Computing Centre 245 Church St., Toronto, ON, M5B 2K3 (Intersection of Church and Gould) Map: http://www.ryerson.ca/maps/ Contact: Dr. Maryam Davoudpour, Dr. Glaucio Carvalho, Dr. Alireza Sadeghian Organizers: Signals & Computational Intelligence Chapter, Magnetics Chapter, Instrumentation & Measurement/Robotics & Automation Chapter Abstract: This talk begins with a short review of clustering that emphasizes external cluster validity indices (CVIs). A method for generalizing external pairbased CVIS (e.g., the crisp Rand and Jacard indices) to evaluate soft partitions is described and illustrated. Three types of validation experiments conducted with synthetic and real world labeled data are discussed: “best c” (internal validation with labeled data), and “best I/E” (agreement between an internal and external CVI pair). As is always the case in cluster validity, conclusions based on empirical evidence are at the mercy of the data, so the reported results might be invalid for different data sets and/or clustering models and algorithms. But much more importantly, we discovered during these tests that some external cluster validity indices are also at the mercy of the distribution of the ground truth itself. We believe that our study of this surprising fact is the first systematic analysis of a largely unknown but very important problem ~ bias due to the distribution of the ground truth partition. Specifically, in addition to the well known bias in many external CVIs caused by monotonic dependency on c, the number of clusters in candidate partitions, there are two additional kinds of bias that can be caused by an unusual distribution of the clusters in the ground truth partition provided with labeled data. The most important ground truth bias is caused by imbalance (unequally sized labeled subsets). We demonstrate these effects with randomized experiments on 25 pair-based external CVIs. Then we provide a theoretical analysis of bias due to ground truth for several CVis by relating Rand’s index to the Havrda-Charvat quadratic entropy. Biography: Jim received the PhD in Applied Mathematics from Cornell University in 1973. Jim is past president of NAFIPS (North American Fuzzy Information Processing Society), IFSA (International Fuzzy Systems Association) and the IEEE CIS (Computational Intelligence Society): founding editor the Int’l. Jo. Approximate Reasoning and the IEEE Transactions on Fuzzy Systems: Life fellow of the IEEE and IFSA; and a recipient of the IEEE 3rd Millennium, IEEE CIS Fuzzy Systems Pioneer, and IEEE technical field award Rosenblatt medals. Jim’s interests: woodworking, optimization, motorcycles, pattern recognition, cigars, clustering in very large data, fishing, co-clustering, blues music, wireless sensor networks, poker and visual clustering. And of course, clustering in big data. Jim retired in 2007, and will be coming to a university near you soon.

  • The Application of Optimization to Model Predictive Control

    Room ENG 288, 245 Church St., Toronto

    July 4, 2016 at 12:00 p.m. Dr. Ruth Milman, Assistant Professor at UOIT, will be presenting “The Application of Optimization to Model Predictive Control”. Speaker: Dr. Ruth Milman Assistant Professor – Department of Electrical, Computer and Software Engineering Faculty Applied Science and Engineering, University of Ontario Institute of Technology Day & Time: Monday, July 4, 2016 12:00 p.m. – 1:00 p.m. Location: Room ENG 288 245 Church St., Toronto, ON, M5B 2K3 Contact: Dr. Maryam Davoudpour Organizers: IEEE Women in Engineering (WIE), IEEE Magnetics Chapter, IEEE Instrumentation & Measurement/Robotics & Automation Joint Chapter and Computer Science Department Ryerson University Abstract: Model predictive control (MPC) is the application of an optimal control scheme over a finite horizon. At each sample interval a cost function is minimized over a finite horizon and a resulting open loop controller is calculated. The control for the current sample interval is applied and the whole process is repeated at the next sample interval. By repeating the process at each sample interval, the resulting control scheme, which is technically open loop, inherits the benefits of a closed loop controller. These include some stability and robustness properties. By nature, MPC is computationally intensive and only makes sense when a there are constraints which must be enforced by the system. As would be expected, adding constraints into the system even further intensifies the computational requirements. By nature, MPC is an optimal control strategy. If a true optimal control is computed when solving the minimization problem, then the solution is independent of the choice of the optimizer. It is only when time constraints force the need for suboptimal controls to be used that the actual algorithm plays a role in the quality of the resulting controller. Despite (or because of) this, the choice of optimization schemes plays a critical role in the real time application of MPC for a simple but important reason – the computational time it takes to solve for the optimal solution. MPC is a flexible framework which allows for control in the face of both linear or nonlinear systems, and can be applied to systems with either hard or soft constraints. How each problem is set up is critical to the choice of optimizer. These choices can drastically impact the computational effort which is required to solve for the resulting controller. As such, the choice and application of optimization schemes to MPC is of critical importance to the resulting performance of the systems. Biography: Dr. Ruth Milman is an Assistant Professor in the Department of Electrical, Computer and Software Engineering with the Faculty of Applied Science and Engineering at the University of Ontario Institute of Technology. She has been with UOIT since June 2007, where she works in the Department of Electrical and Software Engineering, focusing in the field of control theory. Her research interests include optimization and computationally efficient algorithms for model predictive control as well as the application of both linear and nonlinear MPC to autonomous systems. She has worked on path planning for robotic applications in environments with both moving and stationary obstacles. She has worked extensively in the areas of nonlinear and optimal control theory and has developed algorithms for computation of the optimization problem that underlies Model Predictive control. Prior to coming to UOIT she did post-doctoral research at the University of Toronto from 2005 to 2007. Ruth Milman obtained her PhD in 2004 from the Systems Control Group in the Department of Electrical and Computer Engineering at University of Toronto, Canada. Her dissertation focused on improving the speed and computational efficiency of a Linear Model Predictive Controller. As part of this she developed a novel algorithm for solving the quadratic programming subproblem in MPC. She obtained her MASC in 1997 from the Systems Control Group in the University of Toronto and her BASc (Honours) in Computer Engineering in 1995 from the Faculty of Applied Science and Engineering at the University of Toronto.

  • Disaster Scene Reconstruction – Emergency Management Tool

    Ryerson, KHE 225

    Monday September 19, 2016 at 11:00 a.m. Dr. Alex Ferworn, Associate Chair and Graduate Programs Director at Ryerson University, will be presenting “Disaster Scene Reconstruction – Emergency Management Tool”. Speaker: Dr. Alex Ferworn Associate Chair and Graduate Programs Director, Ryerson University Director, Program in Disaster and Emergency Management Day & Time: Monday, September 19, 2016 11:00 a.m. – 12:00 p.m. Location: Ryerson, KHE 225 Contact: Maryam Davoudpour Organizer: WIE, Magnetics, Measurement/Instrumentation-Robotics, Computer Science Department Ryerson University Biography: Prof. Ferworn received his PhD in Systems Design Engineering from the University of Waterloo, his MSc in Computing and Information Science from the University of Guelph and his B.Tech in Applied Computer Science from Ryerson University, where he is a faculty member in the Department of Computer Science, Associate Chair and Graduate Programs Director. He is also Director of a number of Certificate programs including the Program in Disaster and Emergency Management. Ferworn is an adjunct faculty member in the Department of Computing and Software, Faculty of Engineering at McMaster University. Prof. Ferworn has been collaborating with the USAR and CBRNe Response Team (UCRT) of the Ontario Provincial Police since 2005. He has worked extensively with USAR teams in Canada and the United States on a broad range of technology issues related to Computational Public Safety. He does not own a dog.

  • Wireless Power Transfer Systems: Current Issues and Future Opportunities

    Room KHE 225, Ryerson University

    Monday September 26, 2016 at 11:00 a.m. Sheldon S. Williamson, Senior Member at IEEE, will be presenting “Wireless Power Transfer Systems: Current Issues and Future Opportunities”. Speaker: Sheldon S. Williamson Associate Professor and Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification Director, Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory UOIT – Automotive Center of Excellence (UOIT-ACE) Department of Electrical, Computer, and Software Engineering Faculty of Engineering and Applied Science University of Ontario – Institute of Technology Day & Time: Monday, September 26, 2016 11:00 a.m. – 12:00 p.m. Location: Ryerson, KHE 225 Contact: Maryam Davoudpour Organizer: WIE, Magnetics, Measurement/Instrumentation-Robotics, Computer Science Department Ryerson University Abstract: More recently, with the automotive market getting introduced to several EV models (Tesla, Leaf, Mitsubishi – for example), the need for charging them within cities, suburbs, and highways, has driven power electronics engineers towards innovative ideas to solve the future charging infrastructure problem. Plugged charging topologies have been investigated thoroughly in recent years, based on existing SAE J1772 standards for AC and DC charging, ranging from 1.5 kW to 50 kW. On the other hand, in the last five years or so, power supply and charger manufacturing companies have been seriously started looking at wireless charging as an attractive solution, to avoid physical drawbacks of wired or plugged versions of charging EVs. The high-level goals of this seminar is to focus on introducing advanced power electronics solutions for charging traction batteries and ultracapacitors using wireless technologies. Both inductive power transfer (IPT) as well as capacitive power transfer (CPT, electrostatic) techniques of wireless charging will be introduced. The major market for IPT-based wireless charging is the mass transit industry, such as electric trains, buses, and trams, in the range of 10-50 kW, while both IPT and CPT could be used for charging small utility- grade EVs (golf carts/security vehicles), in smaller sizes of 1.0 kW. Critical issues, such as IPT transfer coil design, CPT capacitor dielectric medium/transfer plate designs, and converter topologies, will be discussed. Detailed results of finite element analysis (FEA) designs for energizer and pick-up coils will be presented. Specific emphasis is placed on reducing the effect of skin effect and proximity effect for both in-motion and static charging (for varied switching frequencies and air-gap lengths). An important aspect that will also be covered is the design of charger topologies on the secondary side of the IPT or CPT system. The challenge is to come up with 1-stage power conversion techniques, including high-frequency (HF) AC/DC rectification and DC/DC charger functionalities, with conversion efficiencies of 95% or larger. This seminar will be particularly useful for engineers with entry-level and medium-level knowledge of power electronics and energy storage systems for electric transportation. Biography: Sheldon S. Williamson (S’01–M’06–SM’13) received his Bachelors of Engineering (B.E.) degree in Electrical Engineering with high distinction from University of Mumbai, India, in 1999. He received the Masters of Science (M.S.) degree in 2002, and the Doctor of Philosophy (Ph.D.) degree (with Honors) in 2006, both in Electrical Engineering, from the Illinois Institute of Technology, Chicago, IL. From June 2006 to June 2014, Dr. Williamson held a tenure-track Assistant Professor position, followed by a tenured Associate Professor position in the Department of Electrical and Computer Engineering, at Concordia University, in Montreal, Canada. Dr. Williamson currently holds an Associate Professor position in the Department of Electrical, Computer, and Software Engineering, at the University of Ontario-Institute of Technology (UOIT), in Oshawa, Ontario, Canada. Since July 2015, Dr. Williamson also holds the prestigious title of NSERC Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification. Dr. Williamson’s research interests include transportation electrification, electric energy storage systems, automotive power electronics, and motor drives. Dr. Williamson is a Senior Member of the IEEE and a Distinguished Lecturer of the IEEE Vehicular Technology Society.

  • Using and Evaluating Gamification as a Strategy of Engagement in the Classroom

    KHE 225, 340 Church Street, Ryerson University

    Monday October 17, 2016 at 11:00 a.m. Dr. Sergio A. A. Freitas, Associate Professor in the Gama Engineering College at the University of Brasilia, will be presenting “Using and Evaluating Gamification as a Strategy of Engagement in the Classroom”. Speaker: Dr. Sergio A. A. Freitas Associate Professor, Gama Engineering College, University of Brasilia Coordinator of Research, FGA Software Factory Laboratory Day & Time: Monday, October 17, 2016 11:00 a.m. – 12:00 p.m. Location: KHE 225, 340 Church Street, Ryerson Contact: Maryam Davoudpour Organizer: WIE, Magnetics, Measurement/Instrumentation-Robotics, Computer Science Department Ryerson University Abstract: The gamification of activities other than games has become one of the main goals of a new research topic. In the education area the proposal could not be different: the new generations entering the higher education has a lot of experience in the virtual information environment and games. So, nothing more natural than checking the adherence of gamification to teaching this new student profile. In this scenario, this talk presents a case study of a gamification for a discipline of an undergraduate course. The gamification space was built based on a framework that stands on basic human motivations. Finally, I present some statistical evaluations of the students’ engagement after the introduction of gamification in the classroom. Biography: Sergio A. A. Freitas is currently an Associate Professor in the Gama Engineering College (FGA) at the University of Brasilia (UnB), Brazil. He is also the coordinator of research in the FGA Software Factory Laboratory. His current research projects focus on interdisciplinary studies and applications of learning methodologies on engineering undergraduate courses, and software engineering methodologies. Prof. Freitas areas of expertise include gamification, PBL, virtual learning environments in education and training, and software engineering methodologies. Dr. Freitas has coauthored journal publications, conference articles and book chapters in the aforementioned topics, and has coordinated and participated on many projects from various funding agencies CNPq, FAP-ES, FAP-DF, Cebraspe, and some Brazilian Federal Ministries.

  • Blackberry’s Platform for True End-to-End Mobile Security for Healthcare

    Centennial College Progress Campus, Room A3-17

    Wednesday October 19, 2016 at 10:30 a.m. Sara Jost, Registered Nurse working at Blackberry as a Global Healthcare Industry Lead, will be presenting “Blackberry’s Platform for True End-to-End Mobile Security for Healthcare”. Speaker: Sara Jost Registered Nurse Global Healthcare Industry Lead, Blackberry Day & Time: Wednesday, October 19, 2016 10:30 a.m. – 11:30 a.m. Location: Centennial College Progress Campus, Room A3-17 Contact: Maryam Davoudpour, Nicoleta Zouri Organizer: WIE, Magnetics, Measurement/Instrumentation-Robotics Abstract: Blackberry is the one platform for true end-to-end mobile security. Together with our partners, Blackberry has developed secure mobile solutions for healthcare organizations across the continuum of care. From clinics, to hospitals, to first responders, home care workers and the home, we offer tried and true solutions that maximize patient outcomes and improve the patient experience, reduce costs and are fully secure to protect PHI. 1. We have helped hospitals reduce their emergency room wait times by 50% and meet their code STEM window 100% of the time. 2. In home care, we have shown drastic reductions in missed visits and savings of more than $7,000 per home care worker per year. 3. Blackberry secure messaging has improved efficiency so much that hospitals staff have saved 2 hours per day just by eliminating the need to track down other team members. Biography: Sara Jost is a Registered Nurse working at Blackberry as a Global Healthcare Industry Lead where she leads the promotion of digital devices for use in medicine. Previously Sara worked as a Registered Nurse at Sunnybrook Hospital.

  • Algorithms and Ethics

    KHE 225, 340 Church Street, Ryerson

    Monday October 31, 2016 at 11:00 a.m. Dr. Richard Lachman, Associate Professor, will be presenting “Algorithms and Ethics”. Speaker: Dr. Richard Lachman Associate Professor, Digital Media in RTA School of Media Day & Time: Monday, October 31, 2016 11:00 a.m. – 12:00 p.m. Location: KHE 225, 340 Church Street, Ryerson Contact: Maryam Davoudpour Organizer: WIE, Magnetics, Measurement/Instrumentation-Robotics, Computer Science Department of Ryerson University Abstract: Software algorithms are becoming more and more influential on the daily lives of citizens. Netflix, Spotify, Facebook, and Google openly discuss their use of algorithms as part of their operations, and mainstream critics have discussed the effects of filter-bubbles and echo-chambers on our points of view. However, algorithms are increasingly embedded in governmental and legal systems – with mathematical models influencing everything from teacher evaluations to police dispatch locations, and even parole board hearings. Algorithms exert their influence over our social, political, legal, financial, and educational systems, with average citizens and politicians having little understanding of how computation affects the conventions, laws, and assumptions that underlay our society . What are the responsibilities of computer scientists and software engineers towards an ethical practice as algorithmic decision-making becomes integrated into policy? Biography: Dr. Richard Lachman directs Zone Learning for Ryerson University, Research Development for the Faculty of Communication and Design, and the Experiential Media Institute (formerly the Transmedia Research Centre). He is an Associate Professor, Digital Media in the RTA School of Media, and also serves as a Technology and Creative Consultant for entertainment and software-development projects. Dr Lachman completed his doctorate at UNE (Australia) studying software recommendation-engines, did his undergraduate work in Computer Science at MIT, and holds a masters degree from the MIT Media Lab’s “Interactive Cinema” group. His work with the Petz artificial-life software has over 3 million units shipped worldwide, his later transmedia projects have garnered a Gemini, CNMA and Webby Honouree awards, and he has lead projects with UNICEF, TIFF, Penguin UK, Kobo, CTV, the Discovery Channel Canada, the Banff Centre for the Arts, and the CRTC. His areas of research include virtual reality, transmedia storytelling, digital documentaries, augmented/locative experiences, mixed realities, and collaborative design thinking.

  • Digital Health Initiatives at eHealth Ontario

    Room A3-21, Centennial College, Progress Campus, 941 Progress Ave., Toronto, Ontario, M1G 3T8

    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.

  • Health Informatics Evening at Centennial College

    Room L1-02, Centennial College, Progress Campus 941 Progress Ave., Toronto

    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.