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  • IEEE ComSoc Distinguished Lecture: Topology Preserving Maps: A Localization-Free Approach for 2-D and 3-D IoT Subnets

    Room BA 2135, 40 St. George Street, Toronto, ON M5S 2E4

    Tuesday June 13, 2017 at 3:00 p.m. Prof. Anura Jayasumana, Distinguished Lecturer of the IEEE Communications Society, will be presenting a distinguished lecture “Topology Preserving Maps: A Localization-Free Approach for 2-D and 3-D IoT Subnets”. Note refreshments begin at 2:00 p.m. Day & Time: Tuesday June 13, 2017 2:00 p.m. – 3:00 p.m. Refreshments 3:00 p.m. – 4:00 p.m. Lecture Speaker: Prof. Anura Jayasumana Dept. of Electrical & Computer Engineering Colorado State University, Ft. Collins, CO 80523 USA Location: Room BA 2135 40 St. George Street Toronto, ON M5S 2E4 Contact: Eman Hammad Event Link: https://events.vtools.ieee.org/m/45777 Abstract: Driven by higher potency and lower cost/size of devices capable of sensing, actuating, processing and communicating, the Internet of Things and of Everything promises to dramatically increase our ability to embed intelligence in the surroundings. Subnets of simple devices such as RFIDs and tiny sensors/actuators deployed in massive numbers in 2D and complex 3D spaces will be a key aspect of this emerging infrastructure. Most techniques for self-organization, routing and tracking in such networks rely on distances and localization in the physical domain. While geographic coordinates fit well with our intuitions into physical spaces, their use is not feasible in complex environments. Protocols based on geographical coordinates do not scale well to 3D either. We present a novel localization-free coordinate system, the Topology Coordinates (TC). Interestingly, geographic features such as voids and shapes are preserved in the resulting Topology-Preserving Maps (TPMs) of 2-D and 3-D networks. Ability to specify virtual cardinal directions and angles in networks is a radical change from the traditional approaches. A novel self-learning algorithm is presented to provide network awareness to individual nodes, a step toward large-scale evolving sensor networks. Application of TCs to social networking will be illustrated. Biography: Anura Jayasumana is a Professor of Electrical and Computer Engineering at Colorado State University, where he also holds a joint appointment in Computer Science. He is the Associate Director of Information Sciences & Technology Center at Colorado State. He is a Distinguished Lecturer of the IEEE Communications Society. His research interests span high-speed networking to wireless sensor networking, and anomaly detection to DDoS defense. He has served extensively as a consultant to industry ranging from startups to Fortune 100 companies. He received the B.Sc. degree from the University of Moratuwa, Sri Lanka and M.S. and Ph.D. degrees in Electrical Engineering from the Michigan State University. Prof. Jayasumana has supervised 20+ Ph.D. and 50+ M.S. students, holds two patents, and is the co-author over 250 papers. He is the recipient of the Outstanding Faculty Award from the Mountain States Council of the American Electronics Association.

  • Large-Scale Analytics and Machine Learning for Biomedical Data Types

    Room ENG288, 245 Church St, Toronto, M5B 1Z4

    Wednesday June 28, 2017 at 5:00 p.m. Dr. Shiva Amiri, CEO of BioSymetrics Inc, will be presenting “Large-Scale Analytics and Machine Learning for Biomedical Data Types”. Day & Time: Wednesday June 28, 2017 5:00 p.m. – 6:00 p.m. Speaker: Dr. Shiva Amiri CEO of BioSymetrics Inc Toronto, Ontario, Canada Location: Room ENG288 Department of Computer Science Ryerson University 245 Church St, Toronto, M5B 1Z4 Contact: Alireza Sadeghian, Alex Dela Cruz Organizers: Signals & Computational Intelligence Chapter, WIE Abstract: The scale of data being generated in medicine and research can easily overwhelm typical analytic capabilities. This is particularly true with MRI/fMRI scanning, genomics data, streaming/wearables data in addition to other clinical data types, especially if in combination. Challenges include 1) large file sizes often in heterogeneous formats 2) currently no standard Protocol exists for extraction of standardized characteristics, and 3) traditional methods for group-wise comparison can often result in spurious findings. The talk will address these challenges by discussing customized processing pipelines built for multiple data types in biomedicine, which enable effective machine learning and other types of analytics on these datasets. This approach leverages the rapid model building capabilities of our real-time machine learning software to iterate through normalization parameters for each data type and disease class. In addition, this platform allows easy integration between the various medical data types (genome sequence, phenotypic, and metabolic data) allowing generation of more comprehensive disease classification models. The ability to standardize and pre-process multiple types of biomedical data for machine learning, no matter the source and type, and effectively combine it with other data types is a powerful capability and holds promise for the future of diagnostics and precision medicine. Biography: Shiva Amiri is the CEO of BioSymetrics Inc. where they are developing a unique real-time machine learning technology for the analysis of massive data in biomedicine. BioSymetrics specializes in providing optimized pipelines for complex data types and effective methods in the analytics of integrated data. Prior to BioSymetrics she was the Chief Product Officer at Real Time Data Solutions Inc., she has led the Informatics and Analytics team at the Ontario Brain Institute, where they developed Brain-CODE, a large-scale neuroinformatics platform across the province of Ontario. She was previously the head of the British High Commission’s Science and Innovation team in Canada. Shiva completed her Ph.D. in Computational Biochemistry at the University of Oxford and her undergraduate degree in Computer Science and Human Biology at the University of Toronto. Shiva is involved with several organisations including Let’s Talk Science and Shabeh Jomeh International.

  • Factory Tour of Northern Transformer In Vaughan

    Northern Transformer Corporation, 245 McNaughton Rd E, Maple, ON L6A 4P5, Canada

    Friday June 30, 2017 at 2:00 p.m. IEEE Toronto is proud to present a facility tour of Northern Transformer in Vaughan. The IEEE Toronto Industry Relations Committee and Power & Energy Chapter would like to thank Northern Transformer for hosting this very successful tour and their amazing hospitality. Day & Time: Friday June 30, 2017 2:00 p.m. – 4:00 p.m. Location: Northern Transformer 245 McNaughton Rd. E. Maple, Ontario Canada L6A 4P5 Register: https://events.vtools.ieee.org/m/45343 Contact: Hugo Sanchez Organizers: IEEE Toronto Industry Relations Committee, Power & Energy Chapter Co-sponsored by Hugo Sanchez Abstract: Northern Transformer, founded in Concord, Ontario in 1981, is a North American manufacturer of liquid filled transformers of the highest quality and reliability serving the North American market. Northern Transformer’s primary focus is the design and manufacture of liquid filled Power Transformers, Grounding Transformers and Specialty Transformers ranging from 500kVA to 115MVA with a maximum primary voltage of 160kV (650 BIL). Attendees are encouraged to bring their own safety shoes and glasses to provide themselves with an additional layer of safety. However, the safety shoes and glasses are not mandatory to attend this tour. Pictures from Event:

  • A framework for general purpose digital pathology image analysis, using machine learning methods to identify cancer subsets and immunotherapy biomarkers

    Room ENG101, 245 Church St, Toronto, M5B 1Z4

    Monday July 17, 2017 at 4:00 p.m. Dr. Trevor McKee, STTARR Innovation Research Centre for Cancer Research, will be presenting “A framework for general purpose digital pathology image analysis, using machine learning methods to identify cancer subsets and immunotherapy biomarkers”. Day & Time: Monday July 17, 2017 4:00 p.m. – 5:00 p.m. Speaker: Dr. Trevor McKee STTARR – Innovation Research Centre for Cancer Research Toronto, Ontario, Canada Location: Room ENG101 George Vari Engineering Building (intersection of Church & Gould) Ryerson University 245 Church St, Toronto, M5B 1Z4 Contact: Alireza Sadeghian, Alex Dela Cruz Organizers: Signals & Computational Intelligence Chapter Abstract: Histological staining, interpreted by a pathologist, has remained the gold standard for cancer diagnosis and staging for over 100 years. There is a growing need for better – and more personalized – cancer treatments, to provide oncologists with the tools they need to best treat their patients. The advent of “molecular medicine”, or targeted therapeutic strategies that rely on knowledge of particular mutations in a cancer in order to tailor treatment, has improved cancer therapy for many patients. This has led to the use of companion diagnostics, in which tumor biopsies are stained for a specific marker or set of markers, using immunohistochemical approaches. The information obtained from the degree of staining or spatial arrangement of stained cells within the tumor helps to identify tumor molecular subclasses that may benefit from such tailored therapeutic approaches. The increase in the number of slides being stained for specific markers and used in diagnosis, along with the increased need for quantitative assessment of the degree of staining, number of cells, or spatial arrangement of cells within the tumor, has increased the volume and type of work that pathologists encounter in their diagnostic workflow. Our team works on the development of tools for quantitative digital pathology analysis that can benefit pathologists, by building and validating semi-automated algorithms for cellular quantification and intensity scoring of stained slides. We use machine learning methods to learn features that distinguish different morphological regions from pathologist annotations. These are then fed into a tissue segmentation and classification framework to break the tissue down into its components, either on the individual cell level, or the glandular level. Staining intensity is quantified following colour deconvolution of the individual stain components, and reporting metrics are designed, in close collaboration with pathologists and biological scientists, to identify the appropriate outputs for comparing between treatment groups or different cancer types. The use of multiplexed digital pathology stains allows us to build a generalized analytical framework to perform “tissue cytometry”. This new technology can extract quantitative image-derived features in a reproducible and robust fashion, providing clinicians and biological scientists with tools to measure previously inaccessible phenomena, like measuring the hypoxic gradient directly within tumor sections, or comparing glucose uptake to lactic acid production in the same tumor sample. This approach establish the foundation for a bridge between traditional morphometric assessment of tumor biopsies, and the detailed spatially resolved chemical and molecular content maps of each tumor, providing an invaluable toolkit for the discovery of cancer molecular subtypes, and development of therapeutic interventions. Biography: Dr. Trevor McKee received his Ph.D. in Biological Engineering from the Massachusetts Institute of Technology in 2005, in the laboratory of Dr. Rakesh Jain of Harvard Medical School. During his graduate work, he pioneered the application of new imaging and analysis technologies to studying drug transport within tumors, and on developing methods to improve drug delivery. He also holds a Bachelors of Science in Chemical Engineering with a Biotechnology minor from the University at Buffalo. He moved to Toronto to continue postdoctoral work at the Ontario Cancer Institute, applying multi-modality imaging and quantitative image analysis methods to study preclinical cancer models. He has a successful track record of high-impact publications with a number of clinical and basic science collaborators, and has also collaborated with pharmaceutical companies on imaging-based preclinical testing of new compounds. He is currently Image Analysis Core Manager of the STTARR Innovation Centre, and manages a team of analysts to develop new algorithms for machine-learning powered image segmentation and quantification across a number of disease sites. His research interests lie in studying the tumor microenvironment, drug and oxygen delivery, and the development of tools for “tissue cytometry” – deriving complex biological and spatial relationships from tissue sections via computational image analysis methods.

  • Design Considerations for Power Efficient Continuous-Time Delta Sigma ADCs

    Bahen Centre, room BA1230

    Tuesday August 8, 2017 at 4:10 p.m. Dr. Shanthi Pavan, Professor of Electrical Engineering at the Indian Institute of Technology, will be presenting “Design Considerations for Power Efficient Continuous-Time Delta Sigma ADCs”. Recording of the Event: https://drive.google.com/file/d/0B5wB8uI08dYvbmtnQjJoclF0VW8/view?usp=sharing Day & Time: Tuesday August 8, 2017 4:10 p.m. – 5:10 p.m. Speaker: Dr. Shanthi Pavan Professor of Electrical Engineering Indian Institute of Technology, Madras Location: Bahen Centre, room BA1230 40 St George St, Toronto, ON M5S 2E4 Contact: Dustin Dunwell Organizers: Solid-State Circuits Society Abstract: Continuous-time Delta-Sigma Modulators (CTDSMs) are a compelling choice for the design of high resolution analog-to-digital converters. Many delta-sigma architectures have been published (and continue to be invented). This leaves the designer with a bewildering array of choices, many of which seem to pull in opposite directions. Further, it is often difficult to make a clear comparison of various architectures, as they have been designed for dissimilar specifications, by different design groups, and in different technology nodes. This talk examines various design alternatives for the design of power efficient single-loop continuous-time delta sigma converters. Biography: Shanthi Pavan obtained the B.Tech degree in Electronics and Communication Engineering from the Indian Institute of Technology, Madras in 1995 and the Masters and Doctoral degrees from Columbia University, New York in 1997 and 1999 respectively. He is now with the Indian Institute of Technology-Madras, where he is a Professor of Electrical Engineering. His research interests are in the areas of high-speed analog circuit design and signal processing. Dr.Pavan is the recipient of many awards for teaching and research, including the IEEE Circuits and Systems Society Darlington Best Paper Award and the Shanti Swarup Bhatnagar Award (from the Government of India). He has served as the Editor-in-Chief of the IEEE Transactions on Circuits and Systems: Part I – Regular Papers. He is a Fellow of the Indian National Academy of Engineering.

  • Recent Advances In Direct Torque and Flux Control of IPMSM Drives

    Conference Room, 147 Dalhousie St, Toronto, M5B 2R2

    Friday August 11, 2017 at 10:00 a.m. IEEE Toronto’s Power & Energy Chapter is honoured to invite you to a seminar by professor M. Nasir Uddin, Senior IEEE member and Professor at Lakehead University, “Recent Advances In Direct Torque and Flux Control of IPMSM Drives”. Day & Time: Friday August 11, 2017 10:00 a.m. – 11:30 a.m. Speaker: M. Nasir Uddin Senior IEEE member Professor at Lakehead University Location: Conference Room 147 Dalhousie St, Toronto, M5B 2R2 Contact: Omid Alizadeh Organizers: IEEE Toronto Power & Energy Chapter Abstract: With the advancements in magnetic materials and semiconductor technology, interior permanent magnet synchronous motor (IPMSM) is becoming more and more popular in industrial applications due to its high energy density, high power factor, low noise and high efficiency as compared to conventional AC motors. Conventional field oriented vector control (VC) techniques have been widely used for high performance motor drives for many years. As an alternative to VC scheme recently direct torque and flux control (DTFC) technique is developed which is faster and simpler than that of the VC scheme as DTFC doesn’t need any coordinate transformation, pulse width modulation and current regulators. The DTFC scheme utilizes hysteresis band comparators for both torque and flux controls. Both torque and flux are controlled simultaneously by the selection of appropriate voltage vectors from the inverter. However, conventional six-sector based DTFC suffers from high torque ripples due to discrete nature of control system and limited voltage vector selection from the inverter. Control techniques have been developed for hysteresis controllers to minimize the torque ripples but the six sectors still limits that improvement. Furthermore, in a conventional DTFC the reference air-gap flux is assumed constant at the rated value to make the control task easier. This produces erroneous results for high performance drives as the air-gap flux changes with the operating conditions and system disturbances. Moreover, if the reference air-gap flux is maintained constant, it is not possible to optimize the efficiency of the drive. Therefore, this talk presents a novel eighteen-sector based DTFC scheme to achieve high dynamic performance with reduced torque ripples as compared to the conventional 6-sector based DTFC. In addition, a model based loss minimization algorithm is integrated with the proposed DTFC scheme in order to optimize the efficiency along with high dynamic performance. Eighteen sectors are developed to overcome the unbalanced voltage vector selection of conventional six-sector based system that minimizes the torque ripples. Further, a nonlinear controller with virtual torque and flux controls is also developed for IPMSM drive to minimize the drive torque ripples. The complete IPMSM drives incorporating the developed control techniques are successfully implemented in real-time using digital signal processor (DSP) board-DS1104 for laboratory 5-hp motor. The effectiveness of the proposed control techniques are verified in both simulation and experiment at different operating conditions. It is found that the nonlinear controller based IPMSM drive provides the best performance in terms of torque ripples among all the DTFC schemes. The results show that the proposed nonlinear/18-sector based DTFC scheme would have the potentiality to apply for real-time industrial drives. Biography: M. Nasir Uddin received the B.Sc. and M. Sc. degrees both in electrical & electronic engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, and the Ph.D. degree in electrical engineering from Memorial University of Newfoundland (MUN), Canada in 1993, 1996, and 2000, respectively. He has been serving as a Professor in the Department of Electrical Engineering, Lakehead University (LU), Thunder Bay, ON, Canada since August 2001. He also served as a visiting Prof. at Univ. of Malaya (2013, 2012, 2011), Tokyo University of Science (2010), Japan and North South University (2006), Dhaka, Bangladesh. Previously, he was an Assistant Professor in the Department of Electrical and Computer Engineering, University of South Alabama, USA from January 2001 to May 2001, an Assistant Professor from 1996 to 1997 and a lecturer from 1994 to 1996 at BUET. He possesses more than 21 years of teaching experience and has authored/coauthored over 200 papers in international journals (39 in IEEE Transactions) and conferences. Prof. Uddin is a registered professional engineer in the province of Ontario, Canada. Currently, he is serving as an Executive Board Member of IEEE Industry Applications Society (IAS) and Chair of IEEE-IAS-Manufacturing Systems Development and Applications Department. He also served as one of the Technical Program Committee Chairs for IEEE Energy Conversion Congress and Expo (ECCE) 2015 at Montreal, Canada. He was the Technical Committee Chair for the IEEE-IAS Annual Meetings in 2011 (Orlando) and 2012 (Las Vegas). He served as Papers Review Chair (2009–2010 and 2013–2014) of the IEEE Transactions on Industry Applications (IACC). Earlier he served IEEE IAS IACC for 9 years in different capacities. Due to his outstanding contributions IEEE IAS IACC recognized him with IEEE IAS Service Award 2015. He also received LU Distinguished Researcher Award 2010. He was the recipient of several Prize Paper Awards from IEEE IAS IACC and both 2004 Contributions to Research and Contributions to Teaching Awards from LU. His research interests include power electronics, renewable energy, motor drives, and intelligent controller applications.

  • Response of voltage source HVDC systems to DC-side faults, HVDC fault characterisation and DC protection options

    Bahen Centre, Room BA 7180, 40 St George St, Toronto, M5S 2E4

    Friday August 25, 2017 at 2:00 p.m. Prof. Stephen Finney of University of Edinburgh School of Engineering, will be presenting “Response of voltage source HVDC systems to DC-side faults, HVDC fault characterisation and DC protection options”. Day & Time: Friday August 25, 2017 2:00 p.m. – 3:00 p.m. Speaker: Prof. Stephen Finney University of Edinburgh School of Engineering Location: Bahen Centre, Room BA 7180 40 St George St, Toronto, ON M5S 2E4 Contact: Sanaz Kanani Organizers: IAS & PELS Joint Chapter Register: https://events.vtools.ieee.org/meeting_registration/register/45918 Agenda: 2:00 pm: Light Refreshment 2:10-2:50 pm: Presentation (40min) 2:50 pm – Q&A (20min) Abstract: The emergence of high performance, high voltage, voltage source converters (VSC) such as the modular multi-level converter (MMC ) has resulted in increased deployment of voltage source HVDC transmission both for interconnection of AC networks and integration of remote and offshore renewable energy resources. The improved functionality and suitability for networked operation make VSC-HVDC attractive for future power networks. However, the low impedance of voltage source HVDC makes is highly susceptible dc faults, resulting in rapid collapse of system voltage and extreme over currents. For the majority of converter topologies, fault current cannot be controlled by the converter switching with the potential for high current flows in the anti-parallel diodes. Protection devices are, therefore, required to operate with sufficient speed to avoid device failure. In current point-point connections this may be achieved through shunt protection of converter diodes coupled with AC side fault clearance which must be activated at all VSC terminals. There is growing interest in the exploitation of VSC-HVDC in multi-terminal configurations, with a number of large scale pilot projects. (For example the Zhoushan 5 terminal scheme). Conductor faults in such VSC-HVDC networks will result in rapid network-wide voltage collapse and over currents. In these cases the application of proven point-point protection with AC fault clearance, whilst effective, will result in the loss of power flows at all converter stations. This may be avoided by the use of DC circuit breakers (DCCB), however implementation of such circuit breakers presents challenging compromises in speed, complexity and losses. Biography: Prof. Stephen Jon Finney graduated with a Master’s degree in Electrical and Electronic Engineering from Loughborough University in 1988. He worked for the (U.K) Electricity Council research Centre Laboratories before joining the Power Electronics research team at Heriot-Watt University in 1990, obtaining his PhD in 1994. In 2005 he transferred to the University of Strathclyde where he contributed to the formation of the power electronics, drives and energy conversion group. This research group now includes 4 academic staff, five postdoctoral research fellows and 14 postgraduate researchers. The group’s research spans power semiconductor devices, circuits and system level applications. His work in the area of power electronics has resulted in the supervision 15 PhD completions and publication of over 150 research papers with over 30 in IEEE Transactions. During his time at Strathclyde Professor Finney has been responsible for developing research into the application of power electronic systems energy systems. Work in this field includes HVDC transmission, Multi-terminal HVDC, Renewable generator interface and Energy collection architectures. The group recently completed work on the European Union funded ‘Twenties’ program, a multi-partner project which investigated the use of HVDC for the integration of large scale wind generation. This work will be extended through a number of successor projects focusing on overcoming technical barriers to HVDC networks offshore wind integration. Besides HVDC Professor Finney’s team is involved in a broad range of Power Electronics research which include work on High Voltage IGBT Modules and advanced gate drives and U.K China Collaboration on Power Electronic Devices for the Network Integration of Electric Vehicles.

  • On System-Level Analysis & Design of Cellular Networks: The Magic of Stochastic Geometry

    Room ENG288, George Vari Engineering Building, 245 Church St, Toronto, M5B 1Z4

    Friday September 8, 2017 at 10:00 a.m. Professor Marco Di Renzo from Paris-Saclay University/CNRS, will be presenting “On System-Level Analysis & Design of Cellular Networks: The Magic of Stochastic Geometry”. Day & Time: Friday September 8, 2017 10:00 a.m. – 11:00 a.m. Speaker: Professor Marco Di Renzo Paris-Saclay University/CNRS, France Location: Room ENG288 George Vari Engineering Building (Intersection of Church & Gould) Ryerson University 245 Church St, Toronto, M5B 1Z4 Contact: Alireza Sadeghian, Alex Dela Cruz Organizers: Signals & Computational Intelligence Chapter Abstract: This talk is aimed to provide a comprehensive crash course on the critical and essential importance of spatial models for an accurate system-level analysis and optimization of emerging 5G ultra-dense and heterogeneous cellular networks. Due to the increased heterogeneity and deployment density, new flexible and scalable approaches for modeling, simulating, analyzing and optimizing cellular networks are needed. Recently, a new approach has been proposed: it is based on the theory of point processes and it leverages tools from stochastic geometry for tractable system-level modeling, performance evaluation and optimization. The potential of stochastic geometry for modeling and analyzing cellular networks will be investigated for application to several emerging case studies, including massive MIMO, mmWave communication, and wireless power transfer. In addition, the accuracy of this emerging abstraction for modeling cellular networks will be experimentally validated by using base station locations and building footprints from two publicly available databases in the United Kingdom (OFCOM and Ordnance Survey). This topic is highly relevant to graduate students and researchers from academia and industry, who are highly interested in understanding the potential of a variety of candidate communication technologies for 5G networks. Biography: Marco Di Renzo received the “Laurea” and Ph.D. degrees in Electrical and Information Engineering from the University of L’Aquila, Italy, in 2003 and 2007, respectively. In October 2013, he received the Doctor of Science degree from the University Paris-Sud, France. Since 2010, he has been a “Chargé de Recherche Titulaire” CNRS (CNRS Associate Professor) in the Laboratory of Signals and Systems of Paris-Saclay University – CNRS, CentraleSupélec, Univ Paris Sud, France. He is an Adjunct Professor at the University of Technology Sydney, Australia, a Visiting Professor at the University of L’Aquila, Italy, and a co-founder of the university spin-off company WEST Aquila s.r.l., Italy. He serves as the Associate Editor-in-Chief of IEEE COMMUNICATIONS LETTERS, and as an Editor of IEEE TRANSACTIONS ON COMMUNICATIONS and IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. He is a Distinguished Lecturer of the IEEE Vehicular Technology Society and IEEE Communications Society. He is a recipient of several awards, and a frequent tutorial and invited speaker at IEEE conferences.

  • Engineering Employment Events

    OSPE will be running Engineering Employment Events on September 14, 2017 and September 30, 2017. The September 14th E3 is in partnership with OACETT and will focus on recent grads, associates and individuals with EIT, P.Eng., C.E.T. and C.Tech. designations. The September 30th E3 is in partnership with Transport Canada and will focus on recent grads, associates and individuals with EIT and P.Eng. designations. Thursday September 14, 2017 Session Registration Link: https://www.ospe.on.ca/events#521/E3-EMP-0917 Time: 11:00 A.M. – 5:00 P.M. Location: Parkview Manor, 55 Barber Greene Rd, Toronto. Saturday September 30, 2017 Session Registration Link: https://www.ospe.on.ca/events#911/TCE3-JSK-0930 Time: 9:00 A.M. – 5:00 P.M. Location: Corporate Event Centre at CHSI – 5110 Creekbank Road, Mississauga, Ontario

  • Canadian Manufacturing Technology Show 2017

    The International Centre, Mississauga (Toronto), ON, Canada

    September 25-28, 2017, the national Canadian Manufacturing Technology Show 2017 offers a diverse mix of live technology on display, with unrivaled keynotes, panel discussions and technical sessions. CMTS includes several signature networking events where the industry comes together to connect, share and celebrate manufacturing. Day & Time: September 25-28, 2017 September 25: 10 a.m. – 5 p.m. September 26: 10 a.m. – 5 p.m. September 27: 10 a.m. – 8 p.m. September 28: 10 a.m. – 4 p.m. Location: The International Centre Mississauga (Toronto), ON, Canada Register to Attend: http://cmts.ca/

  • Molecular Communication in Mobile Systems

    Room BA 2165, 40 St George St, Toronto, M5S 2E4

    Tuesday September 26, 2017 at 3:00 p.m. Professor Robert Schober, Institute for Digital Communications, will be presenting “Molecular Communication in Mobile Systems”. Day & Time: Tuesday September 26, 2017 3:00 p.m. – 4:00 p.m. Speaker: Professor Robert Schober Institute for Digital Communications Friedrich-Alexander-University Erlangen-Nuremberg, Germany Location: Room BA 2165 Bahen Centre for Information Technology 40 St George St, Toronto, ON M5S 2E4 Contact: Arin Minasian Organizers: IEEE Communications Society Event Link: https://events.vtools.ieee.org/m/47028 Abstract: Molecular communication (MC) is an emerging research area offering many interesting and challenging new research problems for communication engineers, biologists, chemists, and physicists. MC is widely considered to be an attractive option for communication between nanodevices such as (possibly artificial) cells and nanosensors. Possible applications of the resulting nanonetworks include targeted drug delivery, health monitoring, environmental monitoring, and “bottom-up” manufacturing. In this talk, we give first a brief introduction to MC and nanonetworking. The main focus of the talk is on stochastic channel modelling for mobile MC systems where the transmitter and/or receiver are not fixed but move subject to diffusion and flow. Metrics such as the mean, autocorrelation function, and probability density function of the channel impulse response will be investigated and the notion of coherence time in MC is introduced. Subsequently, the implications of time-variant channels for MC system design are studied, and corresponding channel estimation and non-coherent detection schemes are developed. The talk concludes with a summary of potential topics for future work. Biography: Robert Schober (S’98, M’01, SM’08, F’10) was born in Neuendettelsau, Germany, in 1971. He received the Diplom (Univ.) and the Ph.D. degrees in electrical engineering from the Friedrich-AlexanderUniversity of Erlangen-Nurnberg (FAU), Germany, in 1997 and 2000, respectively. From May 2001 to April 2002 he was a Postdoctoral Fellow at the University of Toronto, Canada, sponsored by the German Academic Exchange Service (DAAD). From 2002-2011, he was a Professor at the University of British Columbia (UBC), Vancouver, Canada. Since January 2012 he is an Alexander von Humboldt Professor and the Chair for Digital Communication at FAU. His research interests fall into the broad areas of Communication Theory, Wireless Communications, and Statistical Signal Processing. Dr. Schober received several awards for his work including the 2002 Heinz Maier-Leibnitz Award of the German Science Foundation (DFG), the 2004 Innovations Award of the Vodafone Foundation for Research in Mobile Communications, the 2006 UBC Killam Research Prize, the 2007 Wilhelm Friedrich Bessel Research Award of the Alexander von Humboldt Foundation, the 2008 Charles McDowell Award for Excellence in Research from UBC, a 2011 Alexander von Humboldt Professorship, and a 2012 NSERC E.W.R. Stacie Fellowship. In addition, he received several best paper awards. Dr. Schober is a Fellow of the Canadian Academy of Engineering and a Fellow of the Engineering Institute of Canada. From 2012-2015 he served as Editor-in-Chief of the IEEE Transactions on Communications. He is currently the Chair of the Steering Committee of the new Communication Society (ComSoc) journal IEEE Transactions on Molecular, Biological and Multiscale Communication and serves on the Editorial Board of the Proceedings of the IEEE. Furthermore, he is a Member-at-Large of the Board of Governors and a Distinguished Lecturer of ComSoc.

  • Molecular Bringing Precision to Measurements for Millimeter-wave 5G Wireless: Conducted and free-field modulated-signal measurements

    Room BA 4287, 40 St George St, Toronto M5S 2E4

    Wednesday September 27, 2017 at 12:00 p.m. Dr. Kate A. Remley from Wireless Systems Group, NIST, will be presenting “Molecular Bringing Precision to Measurements for Millimeter-wave 5G Wireless: Conducted and free-field modulated-signal measurements”. Day & Time: Wednesday September 27, 2017 12:00 p.m. – 1:00 p.m. (Light lunch will be served) Speaker: Dr. Kate A. Remley Wireless Systems Group, NIST Location: Room BA 4287 Bahen Centre for Information Technology 40 St George St, Toronto, ON M5S 2E4 Contact: Arin Minasian Organizers: IEEE Communications Society Event Link: https://events.vtools.ieee.org/m/47045 Abstract: At millimeter-wave frequencies and for wide modulation bandwidths, the hardware performance of both modulated-signal sources and vector receivers becomes increasingly nonideal. These nonidealities make test and validation of devices, circuits and systems not only more important, but also more difficult. This is especially true because future systems will likely push the limits of modulation complexity and bandwidth to increase data throughput. We will discuss calibration and measurement techniques to correct millimeter-wave modulated-signal measurements illustrating that traditional assumptions at microwave frequencies may not be adequate at millimeter-wave frequencies. Biography: Kate A. Remley (S’92-M’99-SM’06-F’13) was born in Ann Arbor, MI. She received the Ph.D. degree in Electrical and Computer Engineering from Oregon State University, Corvallis, in 1999. From 1983 to 1992, she was a Broadcast Engineer in Eugene, OR, serving as Chief Engineer of an AM/FM broadcast station from 1989-1991. In 1999, she joined the RF Technology Division of the National Institute of Standards and Technology (NIST), Boulder, CO, as an Electronics Engineer. She is currently the leader of the Metrology for Wireless Systems Group at NIST, where her research activities include development of calibrated measurements for microwave and millimeter-wave wireless systems, characterizing the link between nonlinear circuits and system performance, and developing standardized test methods for RF equipment used by the public-safety community. Dr. Remley was the recipient of the Department of Commerce Bronze and Silver Medals, an ARFTG Best Paper Award, and is a member of the Oregon State University Academy of Distinguished Engineers. She was the Chair of the MTT-11 Technical Committee on Microwave Measurements from 2008 – 2010 and the Editor-in-Chief of IEEE Microwave Magazine from 2009 – 2011, and is the Chair of the MTT Fellow Nominating Committee.