• Occupational Health Exergames Applications

    Room ENG106, Ryerson University, 350 Victoria Street, Toronto, ON

    October 1, 2015 at 1:00 p.m. Dr. Alvaro Joffre Uribe Quevedo, Mechatronics Engineer from the Militar Nueva Granada University, will be presenting “Occupational Health Exergames Applications”. Speaker: Dr. Alvaro Joffre Uribe Quevedo Mechatronics Engineer from the Militar Nueva Granada University Masters and Doctoral degree in Mechanical Engineering from the State University of Campinas Postdoctoral Fellow at the Games Institute Day & Time: Thursday, October 1, 2015 1:00 p.m. – 2:00 p.m. Location: Room ENG106, Ryerson University 350 Victoria Street, Toronto, Ontario M5B 2K3 Click here to see the Map – Look for ENG Organizer: Instrumentation & Measurement and Magnetics Chapters at IEEE Toronto Contact: Dr. Maryam Davoudpour: maryam.davoudpour@ieee.org Abstract: Occupational health care issues affect more than 1.7 billion around the world and counting. Health care focuses on preventive, corrective and maintainable physical activities that are subjectively monitored and poorly assessed without supervision, as the patient may not perform the activities as expected. Among many reasons, pain, lack of interest, cultural issues and even incomprehensive guides affect doing the physical activity. Didactic approaches to address such difficulties have resulted in interactive guides, videos and physical trainers doing their best. However, occupational health exercises are characterized to be very short, repetitive and mandatory, which causes demotivation and disinterred from workers. With the massif availability of affordable devices as a result of videogame evolution such as Wiimote, Kinect, etc., and open electronics and 3D printing, with 3D tools such as Blender or Unity. Tailor exergames to specific scenarios can impact both physicians and workers with engaging and competitive activities with clear goals and monitoring to quantify the physical activity. In this talk I will address the development of motion capture occupational healthcare exergames for lower and upper limb, and eye tracking, challenges, future work and trends. Biography: Dr. Alvaro is Mechatronics Engineer from the Militar Nueva Granada University, with a Masters and Doctoral degree in Mechanical Engineering from the State University of Campinas. His main fields of work are in virtual reality towards the development of applications that take advantage of immersion and interaction using game elements in training and learning scenarios. Currently Dr. Alvaro is a postdoctoral fellow at the Games Institute working with the University of Waterloo and UOIT.

  • Learning in Non-stationary Environments

    Ryerson University, Room: ENG287

    October 6, 2015 at 11:00 a.m. Cesare Alippi, IEEE Fellow & Professor of Information Processing Systems with the Politecnico di Milano, will be presenting a distinguished lecture, “Learning in Non-stationary Environments” at Ryerson University. Speaker: Cesare Alippi IEEE Fellow Professor of Information Processing Systems with the Politecnico di Milano Day & Time: Tuesday, October 6, 2015 11:00 a.m. – 12:00 p.m. Location: George Vari Centre for Computing and Engineering Ryerson University Room: ENG287 245 Church Street, Toronto, Ontario M5B 2K3 Click here to see the Map – Look for ENG Organizer: IEEE Signals & Computational Intelligence Toronto Chapter Contact: E-mail: Lorenzo Livi Abstract: Most of machine learning applications assume the stationarity hypothesis for the process generating the data. This amenable assumption is so widely –and implicitly- accepted that sometimes we even forget that it does not generally hold in the practice due to concept drift (i.e., a structural change in the process generating the acquired datastreams). The ability to detect concept drift and react accordingly is hence a major achievement for intelligent learning machines and constitutes one of the hottest research topics for embedded systems. This ability allows the machine for actively tuning the application to maintain high performance, changing online the operational strategy, detecting and isolating possible occurring faults to name a few relevant tasks. The talk will focus on “Learning in a non-stationary environments”, by introducing both passive and active approaches. The active approach will be deepened by presenting triggering mechanisms based on Change point methods and Change detection tests. Finally, the just-in-time detect&react mechanism is introduced where, following a detected change, the system immediately reacts with a strategy depending on the available information. Biography: Cesare Alippi received the degree in electronic engineering cum laude in 1990 and the PhD in 1995 from Politecnico di Milano, Italy. Currently, he is a Full Professor of information processing systems with the Politecnico di Milano. He has been a visiting researcher at UCL (UK), MIT (USA), ESPCI (F), CASIA (RC), A*STAR (SIN). Alippi is an IEEE Fellow, Distinguished lecturer of the IEEE CIS, Member of the Board of Governors of INNS, Vice-President education of IEEE CIS, Associate editor (AE) of the IEEE Computational Intelligence Magazine, past AE of the IEEE-Trans. Instrumentation and Measurements, IEEE-Trans. Neural Networks, and member and chair of other IEEE committees. In 2004 he received the IEEE Instrumentation and Measurement Society Young Engineer Award; in 2013 he received the IBM Faculty Award. He was awarded the 2016 IEEE TNNLS outstanding paper award. Among the others, Alippi was General chair of the International Joint Conference on Neural Networks (IJCNN) in 2012, Program chair in 2014, Co-Chair in 2011. He was General chair of the IEEE Symposium Series on Computational Intelligence 2014. Current research activity addresses adaptation and learning in non-stationary environments and Intelligence for embedded systems. Alippi holds 5 patents, has published in 2014 a monograph with Springer on “Intelligence for embedded systems” and (co)-authored more than 200 papers in international journals and conference proceedings. Home Page: http://home.dei.polimi.it/alippi/

  • IEEE Toronto Section Annual General Meeting

    Old Mill Inn. Exact location to be announced.

    When: Saturday, October 17, 2015 from 6:30 to 10 pm Where: 21 Old Mill Road Toronto, Ontario Canada, M8X 1G5 The Annual General Meting (AGM) of the IEEE Toronto Section is an occasion to celebrate our achievements, made possible by its dedicated volunteers and members. This year, the AGM will also include the elections for a new set of Section officers, to serve in 2016-2017. Program: 6:30 PM: Reception and Cash bar 7:00 PM: Sitting and Introductions 7:30 PM: Dinner and Keynote Presentation on the Canadarm, by Craig Thornton, MDA 8:30 PM: Section Report by Emanuel Istrate 9:00 PM: IEEE Toronto Section Awards 9:40 PM: IEEE Toronto Section Elections 10:00 PM: Closing Remarks Please notice the following: • Dress code is Elegant Casual. • Section members (and one guest) can purchase tickets by contacting olivier@ieee.org. The cost is CAD$50,00 (Life Members) and CAD$70,00 (Other Members). • Seats are limited; RSVP is mandatory. To attend the AGM, please register here: https://meetings.vtools.ieee.org/m/36247 Registration closes on October 9. Bio for Craig Thornton: Craig Thornton is Vice President and General Manager of the Robotics and Automation Division within MDA’s Information Systems Group. Craig’s team was/is responsible for key Canadian signature programs such as the iconic Shuttle Remote Manipulator System (i.e., Canadarm) for the now retired Shuttle Fleet and the Canadarm2 & Dextre robotic systems for the International Space Station. The Robotics and Automation Division has also achieved many successes in the application of its space robotics heritage to “terrestrial” applications. These include the NeuroArm (now known by the trade name SymbisTM) neurosurgical robot, inducted into the Space Technology Hall of Fame in 2014, as well as robotics and automation systems for other medical, nuclear, mining and security applications. Craig worked at Spar Aerospace for 10 years before its acquisition in 1999 by MDA, where he held a variety of both technical and management positions, including Director of Engineering and Manufacturing. In 1999, he left MDA to grow and develop a small business (CIMTEK Inc.) in the field of automated, electronic, functional test equipment and services. During the next 9 years, Craig and his partners built the business through several acquisitions in the UK and the US and the establishment of Greenfield operations in Monterrey, Mexico and Suzhou, China. After building CIMTEK to an attractive size, Craig and his partners sold the business in early 2008. Following the sale, he was involved in several small technology start-ups as an angel investor and senior manager until his return to MDA in 2010. Born and educated in Ontario, Canada, Craig holds Bachelor of Science and Master of Science degrees in Human Biology/Biomechanics from the University of Guelph and a Masters of Applied Science in Mechanical and Industrial Engineering from the University of Toronto. Craig has been happily married to Jane for 32 years. He has two sons, Michael and Jason. Michael is a 4th year B. Comm. student at Ryerson University and Jason is a 3rd year Electrical Engineering Student at McMaster University. Craig is an avid soccer player and coach, mountain biker, skier and wind surfer. He has also been known to race Porsche’s from time-to-time. When he’s not doing any of these things he is likely sitting on the dock at his cottage with his family, friends and a cold beverage.

  • Modeling Semantics of Content on Twitter (What did you mean when you said Yoyo!)

    Room: KHW057, Kerr Hall West, Ryerson University, 379 Victoria Street, Toronto, Ontario

    October 22, 2015 at 12:00 p.m. Dr. Ebrahim Bagheri, Associate Professor and the Director for the Laboratory for Systems, Software and Semantics (LS3) at Ryerson University, will be presenting “Modeling Semantics of Content on Twitter (What did you mean when you said Yoyo!)”. Speaker: Dr. Ebrahim Bagheri Associate Professor and the Director for the Laboratory for Systems, Software and Semantics (LS3) at Ryerson University. Day & Time: Thursday, October 22, 2015 12:00 p.m. – 1:00 p.m. Location: Kerr Hall West 379 Victoria Street, Toronto, Ontario Ryerson University Room: KHW057 Map – http://www.ryerson.ca/maps – Look for KHW Organizer: IEEE Systems Chapter – Toronto Section Contact: E-mail: Alexei Botchkarev Registration: Registration is free, but space is limited. Please register via this link: http://tinyurl.com/systems-Oct-22 Abstract: The microblogging service, Twitter, has gained wide popularity with over 300M active users and over 500M tweets per day. The unique characteristic of Twitter, only allowing short length messages to be communicated, has brought about interesting changes to how information is expressed and communicated by the users, i.e., the semantics of information when expressed on Twitter differ from when expressed on other medium. For instance, the word ‘metal’ when observed on Twitter carries a different semantic meaning, most likely referring to heavy metal music, as opposed to when used in other contexts where its predominant sense is the metal material. In this talk, I will discuss how the meaning and senses of words can be captured and modeled on Twitter to enable better and more efficient search, retrieval and recommendation of content. Biography: Ebrahim Bagheri is an Associate Professor and the Director for the Laboratory for Systems, Software and Semantics (LS3) at Ryerson University, and has been active in the areas of the Semantic Web and Software Engineering. He was one of the research theme leaders of the national project on Radiation Emission Monitoring at the National Research Council Canada and was responsible for leading the development of the Semantic Web and Knowledge Engineering components of that project. In 2011, he co-chaired the Canadian Semantic Web Conference in Vancouver, BC (http://ceur-ws.org/Vol-774/). His work on Semantic-Driven Information Extraction has resulted in two provisionally patented technologies namely Denote and Derive. Denote is a semantic annotation platform based on Linked Open Data and Derive is an extensible architecture for unsupervised knowledge extraction and object (concept and property-value pair) population from the Web. He has been involved in projects that encompass the use of Semantic Web technologies in the areas of e-commerce and business process modeling funded by NSERC, AIF and IBM. Over the past 5 years, he has led projects worth over $5M CAD including various NSERC research and development projects with over 12 industrial partners. He is a senior member of IEEE, an IBM Faculty Fellow and a member of PEO.

  • EPEC2015: Electrical Power and Energy Conference

    London, Ontario Convention Center

    October 26th, 2015 – EPEC2015 is an opportunity for electric power and energy systems experts from industry, academia, and other interested organizations to discuss the latest developments in the field: academic and industrial research, industrial/business trends and challenges. This may include debate on the potential impact of these developments including discussions on regulatory and policy aspects. The conference provides an international forum for the presentation of peer-reviewed power and energy research and development. Where: London, Ontario Convention Center When: October 26th, 2015 Early Registration Fees Apply until Oct 1st Register in tutorials now: http://epec2015.ieee.ca/tutorials/ View Conference Fees: http://epec2015.ieee.ca/registration/ Electrical Power and Energy Conference Technical Tutorials now open for Registration: 1. Power Flow Controllers Kalyan K. Sen, Chief Technology Officer, Sen Engineering Solutions Session features a high-level overview of various power flow controllers and their features including voltage regulating transformers, phase angle regulators, shunt inductor/capacitor, and series inductor/capacitor, and Voltage-Sourced Converters (VSC). The presentation will be of particular interest to all utility power engineering professionals with familiarity in power engineering terminology. The audience will hear from an expert who actually designed and commissioned a number of power electronics-based FACTS controllers. 2. Developments in HVDC and FACTS for Power Transmission Grids Ervin Spahic, Head of Future Technologies, Siemens Jörg Dorn, Head of R&D, Technology and Innovation, Siemens This tutorial will reveal trends in Europe related to nuclear generator phase out and Integration of renewables. Technology, theory and applications related to high voltage DC transmission and experience from actual projects in Canada and USA. This session is for transmission system operators, grid developers, consulting companies, universities and others interested in related new technologies. 3. Microgrids Operation and Control – Theory and Practice Amir Hajimiragha, GE Digital Energy, Grid Automation This session will cover microgrid challenges and potential opportunities including: DC vs. AC, CERTS microgrid concept, concepts and interactions among distribution management systems (DMS), energy management systems, microgrid controllers and microgrid control, communications systems and related standards. Included is a real-world microgrid example covering: conventional system configuration, control and monitoring solutions, challenges, achievements and lessons learned. The target audience for this session is engineers from utilities and local distribution companies, managers and policy analysts, and university graduate students. 4. Grid Security Doug Houseman, Vice President of Innovation and Technology, EnerNex From NERC CIP to Privacy Regulation, security is becoming a mandated item on the grid. For more than 100 years most people respected the electric grid and left it alone, feeling that it was a shared public resource that needed to be provided. Now with the advent of Cyber warfare, home grown terrorists, black mail hackers, and others the grid needs protection. Not just cyber security but physical security as well. The target audience for this session is engineers from utilities and local distribution companies, managers and policy analysts, and university graduate students 5. Smart Fault Monitoring and Protection Amir Mojtahed, Managing Director, Bender Canada Ltd. This session is a comprehensive introduction to the electrical power considerations in Electrical Safety. It covers grounding, fault current, ground fault monitoring and protection systems, smart protection in grounded system (HRG and solidly) and power quality applications and solutions. At the end of the presentation, people will have better understanding of ground faults in AC/DC systems and how to deal with these issues. 6. Smart Grid Lab Pratap Revuru, Smart Grid Solution Architect, Schneider Electric Bala Venkatesh, Professor and Director, Centre for Urban Energy, Ryerson University This tutorial examines aspects of the smart distribution network and focuses on illustrating benefits of advanced distribution management system (ADMS) that provides intelligence, a layer above the conventional SCADA (supervisory control and data acquisition). The tutorial also illustrates a smart grid laboratory facility built at Ryerson as a path for process that enables smart grid technologies and its use in distribution systems. This session is designed for academic professors, researchers and students, utility engineers and administrators as well as facility managers and architects. 7. Introduction to Smart Grid and Distributed Energy Resources Standards (IEEE SCC21) Tom Basso IEEE SCC21 and IEEE P1547 Committee Chair Mark Siira IEEE 2030.2 Working Group Chair and IEEE P1547 Committee Vice Chair Charlie Vartanian IEEE 2030.2 Working Group Secretary and IEEE P1547 Committee Secretary and Treasurer This session covers the IEEE Standards Coordinating Committee 21: SCC21 – “Fuel Cells, Photovoltaics, Dispersed Generation, and Energy Storage” including an Overview of standards development by SCC21, DER and Smart Grid interconnection and interoperability. A listing of IEEE 1547™ Distributed energy resources (DER) interconnection series. IEEE Std 2030™ Smart Grid Interoperability, and IEEE P2030.2.1™ Design, and operation and maintenance of Battery Energy Storage Systems.

  • SSCS Distinguished Lecture: Cognitive Radio Transceiver Chips

    Room RS 211, Rosebrugh Building, University of Toronto

    Monday October 26, 2015 at 10:10 a.m. Eric Klumperink, Ph.D. and IEEE Respected Lecturer, will be presenting “Cognitive Radio Transceiver Chips”. Powerpoint from the Presentation:  Speaker: Eric Klumperink, Ph.D. IEEE Respected Lecturer Technical Proram Committee Member of ISSCC and RFIC Associate Professor, Twente University, Enschede Day & Time: Monday, October 26, 2015 10:10 a.m. – 11:10 a.m. Location: Room RS 211, Rosebrugh Building, University of Toronto 164 College Street, Toronto, ON Organizer: IEEE Toronto SSCS Contact: Dustin Dunwell: dustin.dunwell@gmail.com Refreshments will be served. All are welcome. Abstract: A Cognitive Radio transceiver senses its radio environment and adaptively utilizes free parts of the radio spectrum. CMOS IC-technology is the mainstream technology to implement smart signal processing and for reasons of cost and size it is attractive to also integrate the radio frequency (RF) hardware in CMOS. This lecture discusses radio transceiver ICs designed for cognitive radio applications, with focus on analog RF. Cognitive radio asks for new functionality, e.g. spectrum sensing and more agility in the radio transmitter and flexibility in the receiver. Moreover, the technical requirements on the building blocks are more challenging than for traditional single standard applications, e.g. in bandwidth, programmability, sensing sensitivity, blocker tolerance, linearity and spurious emissions. Circuit ideas that address these challenges will be discussed, and examples of chips and their achieved performance will be given. Biography: Eric Klumperink received his PhD from Twente University in Enschede, The Netherlands, in 1997. He is currently an Associate Professor at the same university where he teaches Analog and RF CMOS IC Design and guides research projects focussing on Cognitive Radio, Software Defined Radio and Beamforming. Eric served as Associate Editor for TCAS-I and II, and for the Journal of Solid-State Circuits. He is a technical program committee member of ISSCC and RFIC and is Respected Lecturer for IEEE. He holds several patents, authored and co-authored more than 150 international refereed journal and conference papers, and is a co-recipient of the ISSCC 2002 and the ISSCC 2009 “Van Vessem Outstanding Paper Award”.

  • Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy

    Room ENG106, Ryerson University

    November 12, 2015 at 1:00 p.m. Marcus Brubaker, Ph.D., will be presenting “Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy”. Speaker: Marcus Brubaker, Ph.D. Postdoctoral at University of Toronto Day & Time: Thursday, November 12, 2015 1:00 p.m. – 2:00 p.m. Location: Room ENG106, Ryerson University 350 Victoria Street, Toronto, Ontario M5B 2K3 Click here to see the Map – Look for ENG Organizer: Instrumentation & Measurement and Magnetics Chapters at IEEE Toronto Contact: Dr. Maryam Davoudpour: maryam.davoudpour@ieee.org Abstract: Discovering the 3D structure of molecules such as proteins and viruses is a fundamental research problem in biology and medicine. Electron Cryomicroscopy (Cryo-EM) is a promising vision-based technique for structure estimation which attempts to reconstruct 3D structures from 2D images. This talk reviews the computational problems in Cryo-EM which are closely related to classical vision problems such as object detection, multiview reconstruction and computed tomography. Finally, a framework is introduced for reconstruction of 3D molecular structure which exploits modern methods for stochastic optimization and importance sampling. The result is a method which is efficient, robust to initialization and flexible. Biography: Marcus Brubaker received his Ph.D. in Computer Science from the University of Toronto in 2011. After that he worked with Raquel Urtasun as a postdoctoral researcher at Toyota Technological Institute at Chicago and is currently a postdoc at University of Toronto, Scarborough. He also consults with Cadre Research Labs on machine learning and computer vision related projects and teaches at the University of Toronto. He was won a number of fellowships and awards, including OGS and NSERC graduate fellowships as well as an NSERC Postdoctoral Fellowship. His most recent work on autonomous vehicle localization (“Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization,” CVPR 2013) and the estimation of the 3D structure of proteins and viruses (“Building Proteins in a Day,” CVPR 2015) have won awards and attention in the lay press. His interests span computer vision, machine learning and statistics and he works on a range of problems including video-based human motion estimation, physical models of human motion, Bayesian inference, Markov Chain Monte Carlo methods, ballistic forensics, electron cryo-microscopy and autonomous vehicle localization.

  • IEEE 5G Toronto Summit

    Bahen Centre for Information Technology, 40 St. George Street, Toronto

    Recently, IEEE Communication Society has developed a strategic framework based on the principles that embrace Industry’s interests and priorities while integrating IEEE and ComSoc’s objectives. In order to engage industry members with high value and innovative technologies, IEEE Communication Society plans to hold a series of high impact one day Summits in emerging technology areas (e.g., SDN/NFV, 5G, IoT, Big Data, and Cybersecurity). The first summit was held at Princeton Univertity in May 2015 (see photos, slides, and videos).The upcoming IEEE Toronto 5G Summit is the second one in the series, and will be held at University of Toronto on Saturday, November 14, 2015. This one day summit will provide a platform for the industry leaders, innovators, and researchers from the industry and academic community to collaborate and exchange ideas in this emerging technology that may help in driving the standards and rapid deployment. The Summit is sponsored by IEEE Communications Society and co-sponsored by the IEEE Toronto Chapter. Keynote Speakers: Dr. Ivo Maljevic Telus Javan Erfanian Bell Canada Dr. Xavier Costa NEC Lab Europe Dr. Peiying Zhu Huawei Day & Time: Saturday, November 14, 2015 8:00 a.m. – 6:30 p.m. Location: Bahen Centre for Information Technology (BCIT), Auditorium BA1160 (1st floor) 40 St. George Street, Toronto, ON M5S 2E4 Building http://map.utoronto.ca/marker/bahen-centre Official Website & Registration: http://www.5gsummit.org/toronto/

  • Terrestrial Broadcast vs. LTE-eMBMS: Competition and Cooperation

    Room BA7180, Bahen Centre for Information Technology, University of Toronto

    Monday November 16, 2015 at 5:30 p.m. Marco Breiling, IEEE BTS distinguished lecturer, will be presenting “Terrestrial Broadcast vs. LTE-eMBMS: Competition and Cooperation”. Speaker: Marco Breiling IEEE BTS Distinguished Lecturer Chief Scientist of the Broadband & Broadcast (Fraunhofer Institute for Integrated Circuits (IIS), Germany Erlangen) Day & Time: Monday, November 16, 2015 5:30 p.m. – 7:30 p.m. Location: Room BA7180 Bahen Centre for Information Technology, University of Toronto 40 St George St, Toronto, ON M5S 2E4 Organizer: IEEE Toronto Communications Society Contact: Eman Hammad, Email:eman.hammad.ca@ieee.org Abstract: While the broadcast world is reinforcing its armoury by introducing new and highly advanced standards like DVB-T2/-NGH and ATSC 3.0, the pressure by the mobile communications business is ever increasing. As users consume more unicast content or switch over to satellite TV or IPTV, the user base for terrestrial TV is shrinking, whereas the data rates requested by the users in mobile communications networks explode. Moreover, the mobile communications armoury now includes LTE-eMBMS as a broadcast mode, which can handle cases, where many users want to consume the same content. Consequently, the mobile network operators ask for a reallocation of the UHF broadcast bands to standards such as LTE (digital dividend II and more). If we assume that there is a future for broadcast over terrestrial transmission, this talk will shed some light about the question what technical (not commercial!) advantages conventional terrestrial broadcast standards like DVB have over eMBMS and vice versa. This leads to the question, whether the best aspects of both can be combined by having both networks cooperate. A final aspect discussed is the idea of distributing eMBMS content by satellite using, e.g., DVB-S2. Biography: After conducting studies at the Universität Karlsruhe/Germany (now Karlsruhe Institute of Technology – KIT), the Norges Tekniske Høgskole (NTH) in Trondheim/Norway, the Ecole Supérieure d’Ingénieurs en Electronique et Electrotechnique (ESIEE) in Paris and the University of Southampton/England, Marco Breiling graduated with a Dipl.-Ing. degree from KIT in 1997. He earned his PhD degree (with highest honor) for a thesis about turbo codes from Universität Erlangen/Germany in 2002. Since 2001, he has been working at the Fraunhofer Institute for Integrated Circuits (IIS) in Erlangen in the field of satellite and terrestrial communications. He currently holds the position of the broadband & broadcast department’s chief scientist.

  • Novel Single-Source Integral Equation for Solution of Electromagnetic Scattering Problems on Penetrable Objects

    Room BA1210, Bahen Centre for Information Technology, University of Toronto

    Tuesday November 17, 2015 at 4:00 p.m. Vladimir Okhmatovski, Associate Professor in the Department of Electrical and Computer Engineering at the University of Manitoba, will be presenting “Novel Single-Source Integral Equation for Solution of Electromagnetic Scattering Problems on Penetrable Objects”. Speaker: Vladimir Okhmatovski Associate Professor Department of Electrical and Computer Engineering at the University of Manitoba Day & Time: Tuesday, November 17, 2015 4:00 p.m. Location: Room BA1210 Bahen Center for Information Technology 40 St. George Street, Toronto M5S2E4 Organizer: IEEE Toronto Electromagnetics & Radiation Chapter Contact: Costas D. Sarris, Email:costas.sarris@utoronto.ca Abstract: A new Surface–Volume–Surface Electric Field Integral Equation (SVS-EFIE) is discussed. The SVS-EFIE is derived from the volume integral equation by representing the electric field inside the scatterer as a superposition of the waves emanating from its cross section’s boundary. The SVS-EFIE has several advantages. While being rigorous in nature, it features half of the degrees of freedom compared to the traditional surface integral equation formulations such as PMCHWT and it requires only electric-field-type of Green’s function instead ofboth electric and magnetic field types. The latter property brings significant simplifications to solution of the scattering problems on the objects situated in multilayered media. Both scalar and vector formulations of the SVS-EFIE equation has been developed for solution of 2D scattering problems on penetrable cylinders under TM and TE polarizations. The SVS-EFIE has been also been applied to the solution of the quasi-magneetostatic problems of current flow in complex interconnects in both homogeneous and multilayered media. Detailed description of the method of moment discretization and resultant matrices is discussed. Due to the presence of a product of surface-to-volume and volume-to-surface integral operators, the discretization of the novel SVS-EFIE requires both surface and volume meshes. In order to validate the presented technique, the numericalresults are compared with the reference solutions. Biography: Vladimir Okhmatovski received Ph.D. degree in antennas and microwave circuits from the Moscow Power Engineering Institute, Moscow, Russia in 1997. He was a Post-Doctoral Research Associate with the National Technical University of Athens from 1998 to 1999 and with the University of Illinois at Urbana-Champaign from 1999 to 2003. From 2003 to 2004, he was with the Department of Custom Integrated Circuits at Cadence Design Systems in Tempe, Arizona. In 2004, he joined the Department of Electrical and Computer Engineering, University of Manitoba, where is currently an Associate Professor. His research interests are the fast algorithms of electromagnetics, high-performance computing, modeling of interconnects, and inverse problems.

  • 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.

  • Intelligent Medical Devices for Affordable Healthcare

    Room ENG106, Ryerson University

    Monday November 23, 2015 at 2:00 p.m. Professor Dinesh Kumar, RMIT University of Melbourne, Australia will be presenting “Intelligent Medical Devices for Affordable Healthcare”. Speaker: Professor Dinesh Kumar RMIT University Melbourne, Australia Day & Time: Monday, November 23, 2015 2:00 p.m. – 3:00 p.m. Location: Room ENG 106 George Vari Engineering and Computing Centre Ryerson University 245 Church Street Toronto Organizer: IEEE Toronto Signal Processing Chapter Contact: Sri Kirshnan, Email:krishnan@ryerson.ca Abstract: Technology is giving us longer and healthier lives. However, this comes at the cost, both, in terms of the research, infrastructure, and the cost of running the devices. Often, this makes many of these technologies only suitable for the wealthy societies. Prof Kumar will share his vision for devices and technologies for affordable healthcare. He will count the real cost of the devices, and suggest methods for making these more affordable without compromising the efficacy in improving the health outcomes. While automatic devices are often considered the demand of the wealthy, Kumar will show that these intelligent devices are the necessity for remote communities. Biography: Dr. Dinesh Kumar is a Professor of Electrical and Computer Engineering at RMIT University in Melbourne, Australia. Dr. Kumar did his B.E (Hons) and PhD in Biomedical Engineering from Indian Institute of Technology (IIT), Chennai and Delhi and has been researching in the field of developing affordable medical devices for 20 years. Dr. Kumar has been working towards developing intelligent devices and techniques that facilitate the user for early detection of disease, perform risk assessment of disease and provide assistive technologies for people who are frail or disabled. He has published over 350 refereed publications and his work has been cited over 5000 times.