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  • Error Control Coding for Low-Latency Multicast Streaming

    ENG288, Department of Computer Science, Ryerson University

    September 16, 2015 at 12:00 p.m. Dr. Ashish Khisti, Associate Professor & Canada Research Tier II, will be presenting “Error Control Coding for Low-Latency Multicast Streaming” at Ryerson University. Speaker: Dr. Ashish Khisti Associate Professor & Canada Research Tier II Day & Time: Wednesday, September 16, 2015 12:00 p.m. – 1:00 p.m. Location: Room ENG288, Department of Computer Science, Ryerson University 245 Church Street, Toronto, Ontario M5B 2K3 Click here to see the Map – Look for ENG Organizer: IEEE Toronto – Computer Chapter & DABNEL Contact: Prof. Isaac Woungang Director of DABNEL Lab Department of Computer Science Ryerson University Chair, Computer Chapter, IEEE Toronto E-mail: Isaac Woungang Abstract: An increasing number of applications require simultaneous transmission of multimedia streams to diverse users with vastly different computing and communication capabilities. While a straightforward approach is to establish an independent unicast session with each user, it can be highly inefficient when (i) the number of users is large or (ii) the content size is large. In such applications broadcast/multicast techniques can lead to significant gains. This talk will focus on error correction coding techniques over packet erasure channels under low-latency constraints. The talk will be aimed for a broad audience and will not assume prior knowledge on Error Control Coding. Biography: Ashish Khisti is an Associate Professor at the University of Toronto and holds a Canada Research Chair in Wireless Networks. He obtained his BASc degree from the Engineering Sciences program at the same university, and his SM and PhD degrees from the Massachusetts Institute of Technology (MIT) in Electrical Engineering and Computer Science. His research interests include Network Information Theory, Physical Layer Security and Error Control Coding for Multimedia Applications. He is a recipient of the HP-IRP award, an Ontario Early Researcher Award and the Morris Joseph Levin Masterworks award from MIT. He presently serves as a Associate Editor for the IEEE Transactions on Information Theory. All are welcome – No registration needed.

  • Compact Discrete Representations for Scalable Similarity Search

    Room ENG106, Ryerson University

    Thursday November 19, 2015 at 1:00 p.m. Mohammad Norouzi, PhD candidate in computer science at the University of Toronto, will be presenting “Compact Discrete Representations for Scalable Similarity Search”. Speaker: Mohammad Norouzi PhD Candidate Day & Time: Thursday, November 19, 2015 1:00 p.m. – 2:00 p.m. Location: Room ENG 106 George Vari Engineering and Computing Centre Ryerson University 245 Church Street Toronto Organizer: IEEE Toronto Computer, Magnetics and Instrument-Measurement Chapters Contact: Maryam Davoudpour, Email:maryam.davoudpour@ieee.org Abstract: Scalable similarity search on images, documents, and user activities benefits generic search, data visualization, and recommendation systems. This talk concerns the design of algorithms and machine learning tools for faster and more accurate similarity search. The proposed techniques advocate the use of discrete codes for representing the similarity structure of data in a compact way. In particular, I will discuss how one can learn to map high-dimensional data onto binary codes with a metric learning approach. Then, I will describe a simple algorithm for fast exact nearest neighbour search in Hamming distance, which exhibits sub-linear query time performance. Going beyond binary codes, I will highlight a compositional generalization of k-means clustering which maps data points onto integer codes with storage and search costs that grow sub-linearly in the number of cluster centers. This representation improves upon binary codes, and provides an even more precise approximation of Euclidean distance. Experimental results are reported on multiple datasets including a dataset of SIFT descriptors with 1B entries. Biography: Mohammad Norouzi is a PhD candidate in computer science at the University of Toronto. His research lies at the intersection of machine learning and computer vision. He is a recipient of a Google US/Canada PhD fellowship in machine learning. He is going to join Google as a research scientist in January 2016.

  • Connected Cars for Smart Cities

    Room ENG 288, Ryerson University, 245 Church Street, Toronto, ON

    Monday December 7, 2015 at 12:30 p.m. Shahrokh Valaee, Professor and Associate Chair for Undergraduate Studies at the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, will be presenting “Connected Cars for Smart Cities”. Speaker: Shahrokh Valaee Professor, Associate Chair for Undergraduate Studies Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Day & Time: Monday, December 7, 2015 12:30 p.m. – 1:30 p.m. Location: Room ENG 288, Ryerson University George Vari Center for Engineering & Computing 245 Church Street, Toronto, ON Organizer: IEEE Toronto Computer, Magnetics and Instrument-Measurement Chapters Contact: Dr. Maryam Davoudpour Abstract: Recently we are witnessing the emergence of situation-aware vehicles, equipped with plurality of sensors that can help driver with vehicle control and maneuvering. Cars that can park themselves, provide lane-departure warning, and monitor the driver alertness are marketed with affordable prices. The sensing and processing power of cars are increasing, enabling various safety-enhancing features, such as blind-spot warning, adaptive headlights, adaptive cruise control, and so on. In this talk, we will discuss the next steps for autonomous vehicles. In particular, we will project the path forward by transitioning from autonomous cars to cognitive and intelligent vehicles. Future cars will be enabled with car-to-car and car-to-infrastructure communication capabilities. We will review such enhancement and will focus on two recent research directives that will make future cars intelligent. The two enablers are compressive sensing and network coding. We will show that cooperative compressive sensing can reduce the wireless channel congestion, which is the main challenge in dense vehicular networks. To discuss the communications aspects of vehicular networks, we will introduce a repetition-based medium access control method using positive orthogonal codes, and then propose an opportunistic network-coding scheme to enhance the reliability of communication. We will finally discuss some open research issues. Biography: Shahrokh Valaee is with the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, where he is a Professor and the Associate Chair for Undergraduate Studies. He is the Founder and the Director of the Wireless and Internet Research Laboratory (WIRLab) at the University of Toronto. Professor Valaee recently served as the TPC Co-Chair of ICT 2015. He was the Track Chair of the IEEE Wireless Communications and Networking Conference (WCNC) 2014, the TPC Co-Chair and the Local Organization Chair of IEEE Personal Mobile Indoor Radio Communication (PIMRC) Symposium 2011, and the Co-Chair for Wireless Communications Symposium of IEEE GLOBECOM 2006. From December 2010 to December 2012, he was the Associate Editor of the IEEE Signal Processing Letters. Currently, he serves as an Editor of IEEE Transactions on Wireless Communications. Since Feb 2015 he has been an Editor of the Elsevier Journal of Computer and System Science. Professor Valaee is a Fellow of the Engineering Institute of Canada.

  • IBM Internet of Things Point of View and Strategy

    Room VIC608, Victoria Building, Ryerson University, 285 Victoria Street, Toronto

    Thursday January 28, 2016 at 6:30 p.m. Jim Caldwell, Director of IBM Internet of Things, Continuous Engineering Solutions Development, will be presenting “IBM Internet of Things Point of View and Strategy”. Speaker: Jim Caldwell Director, IBM Internet of Things, Continuous Engineering Solutions Development Day & Time: Thursday, January 28, 2016 6:30 p.m. – 8:30 p.m. Location: Room VIC608 Victoria Building, Ryerson University 285 Victoria Street, Toronto Map: http://www.ryerson.ca/maps Contact: d.cecic@ieee.org Abstract: The Internet of Things is predicted to have an economic impact of more than $11 Trillion per year by 2025. It has become a focus of discussion by technologists, the business press and the general public. Clearly something is happening but what? And what should businesses and institutions do about it? This presentation will survey the topic from IBM’s perspective. We will discuss what the Internet of Things is. We will also discuss IBM’s point of view and strategy, some examples of offerings and client engagements. Finally, we will conclude with some key questions and research challenges. Biography: As Director, IBM Internet of Things, Continuous Engineering Solutions Development, Mr. Caldwell is responsible for the development of a set of software tools and solutions used in the design and development of “things”. This includes motor vehicles, aircraft and electronic devices. He is also a member of the leadership team for IBM’s Collaborative Lifecycle Management toolset used in the design and development of large software systems industry wide. Previously, as Director of Software Group (SWG) Technical Strategy, Mr. Caldwell was responsible for working across SWG to continually update and communicate the SWG technical strategy. This included working with SWG divisional leaders (technical and business) on key elements of strategy and cross IBM initiatives. It also included selection, development and delivery of incubator programs and joint programs with IBM research. Prior to that, Mr. Caldwell served as Director of WebSphere Application Infrastructure Product Management where he was responsible for business management of the infrastructure portion of IBM’s WebSphere portfolio of e-business products. This included WebSphere Application Server, WebSphere Commerce Server, WebSphere Voice Server and Embedded ViaVoice. He drove business decisions across all disciplines within these groups including development, services, business development, and marketing. In his more than 25 years at IBM, Mr. Caldwell has held technical, managerial and executive roles in IBM’s software businesses including Director, WebSphere Commerce Development in which he helped grow IBM’s Commerce offering from an incubator activity to the market leader. Mr. Caldwell is a Mathematics graduate from the University of Waterloo and is currently based in IBM’s Toronto Software Laboratory.