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IEEE Humber Winter Coding Sessions #12

Humber College North Campus, Room F310

We will be having our weekly programming session Friday April 5 at 5:10 pm in room F310. Snacks and Codes will be served! We will continue our format of splitting off into groups for the first hour to help the new members catch up, the second hour will be preparation for IEEE Xtreme, and the 3rd hour will be dedicated to whatever interests the group that day (so bring your questions and ideas)! We will also continue our smart city project discussions! Bring your laptop with you! Day & Time: Friday April 5th, 2019 5:10 p.m. ‐ 7:00 p.m. Speaker: Andew Rudder Humber College Professor Organizers: IEEE Toronto WIE, Humber Student Branch Location: Humber College North Campus, Room F310 Contact: IEEE Humber

Business Problem Solving

Room Number: BA 4287, 40 St George St, Toronto, ON M5S 2E4

Friday April 5th, 2019 at 5:00 p.m. Omar Malik, Founder of Eureka Six Sigma, will be presenting “Business Problem Solving”. Day & Time: Friday April 5th, 2019 5:00 p.m. ‐ 7:00 p.m. Speaker: Omar Malik Founder of Eureka Six Sigma Organizers: IEEE Toronto Engineering and Human Environment Joint Chapter Location: Room Number: BA 4287 40 St George St, Toronto, ON M5S 2E4 Contact: Muthanna Al-Khishali, Ph.D., SMIEEE, LSSYB Register: https://events.vtools.ieee.org/meeting_registration/register/196248 Abstract: We are drowned in an ocean of problems at work and life. These problems force us to take decisions on a daily basis which are strongly influenced by multitude of factors such as past experience, exposure, cognitive biases, personal relevance, status and age etc. The outcome of decisions affects a multitude of customers and users etc., many of which may be unhappy with the final result. If we have to consider errors in judgment and unreliable decision making, we will find roots in poorly scoping, understanding, defining elaborating and analyzing problems. We are going through an important technological and organizational change in the workplace. There is a need to: bridge the gap and focus on engineering science and technical courses integrated with industrial practice and upgrading engineering curricula to help students transition from a project based to a problem-based learning. Agenda: * 90 minutes Lecturing on: – Problem solving – Root Finding – Decision making * 30 minutes Q&A Biography: Omar Malik is founder of Eureka Six Sigma – a prime corporate training, certification and consulting company. In the past 10 years, Omar has spearheaded major change and continuous improvement initiatives in manufacturing, services & technology industries in North America. He is the creator of a 5 steps problem solving framework known as OUI-SI. In this session Omar is going to present and introduce various OUI-SI steps that can enable engineering and business executives to problem solve in any business environment. Omar teaches lean six sigma, quality, and process excellence etc. at University of Toronto School of Continuing Studies. He is recipient of ‘The excellence in teaching award’ and can be reached at malikom@eurekasixsigma.com

IEEE Humber Winter Coding Sessions #13

Humber College North Campus, Room F310

We will be having our weekly programming session Friday April 12 at 5:10 pm in room F310. Snacks and Codes will be served! We will continue our format of splitting off into groups for the first hour to help the new members catch up, the second hour will be preparation for IEEE Xtreme, and the 3rd hour will be dedicated to whatever interests the group that day (so bring your questions and ideas)! We will also continue our smart city project discussions! Bring your laptop with you! Day & Time: Friday April 12th, 2019 5:10 p.m. ‐ 7:00 p.m. Speaker: Andew Rudder Humber College Professor Organizers: IEEE Toronto WIE, Humber Student Branch Location: Humber College North Campus, Room F310 Contact: IEEE Humber

Improving Speech Understanding in the Real-World for Hearing Devices: Solutions, Challenges and Opportunities

Room BA 1230, University of Toronto

Thursday April 18th, 2019 at 4:00 p.m. Dr. Tao Zhang, Director of Signal Processing Research Department, will be presenting “Improving Speech Understanding in the Real-World for Hearing Devices: Solutions, Challenges and Opportunities”. Day & Time: Thursday, April 18th, 2019 4:00 p.m. – 5:00 p.m. Speaker: Dr. Tao Zhang Director of Signal Processing Research Department Starkey Hearing Technologies Organizers: IEEE Signal Processing Chapter Toronto Section Location: Room BA 1230, University of Toronto Contact: Mehrnaz Shokrollahi Yashodhan Athavale Michael Zara Abstract: The cocktail party problem has remained to be one of the most challenging problems for hearing aids even after decades of extensive research. In this talk, we will review our research on the cutting-edge single-microphone speech enhancement with emphasis on deep learning-based approaches. We will introduce and discuss our research on the multi-microphone speech enhancement with an emphasis on robust and real-time algorithms. We will present our latest research on the multimodal speech enhancement by considering brain signals (i.e. EEG) and microphone signals in a single joint-optimization framework. Finally, we will discuss the challenges and opportunities in deploying these algorithms in practice. We will present our perspectives on future research directions especially in the areas of individualizations and customizations using big data and machine learning. Biography: Tao Zhang received his B.S. degree in physics from Nanjing University, Nanjing, China in 1986, M.S. degree in electrical engineering from Peking University, Beijing, China in 1989, and Ph.D. degree in speech and hearing science from the Ohio-State University, Columbus, OH, USA in 1995. He joined the Advanced Research Department at Starkey Laboratories, Inc. as a Sr. Research Scientist in 2001, managed the DSP department from 2004 to 2008 and the Signal Processing Research Department from 2008 to 2014. Since 2014, he has been Director of the Signal Processing Research department at Starkey Hearing Technologies, a global leader in providing innovative hearing technologies. He has received many prestigious awards including Inventor of the Year Award, the Mount Rainier Best Research Team Award, the Most Valuable Idea Award, the Outstanding Technical Leadership Award and the Engineering Service Award at Starkey. He is a senior member of IEEE and the Signal Processing Society and the Engineering in Medicine and Biology Society. He serves on the IEEE AASP Technical Committee and the industrial relationship committee and the IEEE ComSoc North America Region Board, He is an IEEE SPS Distinguished Industry Speaker, the IEEE SPS Industry Convoy for the Unites States (Region 1-6) and the Chair of IEEE Twin-cities Signal Processing and CommunicationChapter. His current research interests include audio, acoustic, speech signal processing and machine learning; multimodal signal processing and machine learning for hearing enhancement, health and wellness monitoring; psychoacoustics, room and ear canal acoustics; ultra-low power real-time embedded system design and device-phone-cloud ecosystem design. He has authored and coauthored 120+ presentations and publications, received 20+ approved patents and had additional 30+ patents pending.

IEEE Humber Winter Coding Sessions #14

Humber College North Campus, Room F310

We will be having our weekly programming session Friday April 19 at 5:10 pm in room F310. Snacks and Codes will be served! We will continue our format of splitting off into groups for the first hour to help the new members catch up, the second hour will be preparation for IEEE Xtreme, and the 3rd hour will be dedicated to whatever interests the group that day (so bring your questions and ideas)! We will also continue our smart city project discussions! Bring your laptop with you! Day & Time: Friday April 19th, 2019 5:10 p.m. ‐ 7:00 p.m. Speaker: Andew Rudder Humber College Professor Organizers: IEEE Toronto WIE, Humber Student Branch Location: Humber College North Campus, Room F310 Contact: IEEE Humber

Blockchain Ecosystem TO: Public Launch Event for IEEE Toronto Blockchain

WeWork, 100 University Ave, Toronto, ON M5J 1V6, Canada

This is an open, free event taking place at WeWork, and organized by the IEEE Toronto to launch our NEW local Blockchain Group during Blockchain Week in Toronto. The IEEE is the largest technical association in the world. You can find more about IEEE Blockchain at https://blockchain.ieee.org/ The event is designed for anyone interested in networking with actual blockchain “builders”, not just engineers. It won’t be technical, we’ll get to network and enjoy some good conversation and learning. We’ll have an introduction to both the Greater Toronto ecosystem (there are many great blockchain initiatives and organizations in our city) and to concrete examples of ACTUAL realizations with a real world impact using Blockchain / Distributed Ledger technologies. Day & Time: Tuesday April 23rd, 2019 6:00 p.m. ‐ 8:00 p.m. Organizers: IEEE Toronto Consultants Network Location: WeWork 100 University Avenue Toronto, ON M5J 1V6 Contact: Greg Boutin RVSP: https://www.eventbrite.ca/e/blockchain-ecosystem-to-public-launch-event-for-ieee-toronto-blockchain-tickets-59136197960 Agenda: 6-6.30pm: Networking (food and drinks provided) 6.30-7.40pm: Engaging 10-to-15-minute presentations by blockchain entrepreneurs and experts in Toronto (to be detailed shortly on this page) 7.40-8pm: More networking and wrap-up (we may head to a local bar after that if there is interest)

The Wow Dinner Toronto 2019

Gladstone Hotel, 1214 Queen St W, Toronto, ON M6J 1J6, Canada

The WOW Dinner is the world’s leading #womenintech dinner promoting diversity & inclusion in tech and related industries. The inspirational global series of networking events coming to Toronto on May 21, 2019 at the Gladstone Hotel, and coincides with the Collision Conference held just blocks away. The event welcomes people of all genders and orientation. Expect an evening of great conversation with a vibrant group and an eclectic mix of innovators, amazing food and inspiring speakers! Day & Time: Tuesday May 21st, 2019 5:30 p.m. ‐ 8:00 p.m. Organizers: Newhaus Communications, Green Capulet, IEEE Toronto WIE Price: All IEEE members can get tickets for $50. Register: https://www.eventbrite.ca/e/the-wow-dinner-toronto-for-women-in-tech-tickets-59334500087 Location: The Gladstone Hotel

ComSoc Industry Visit: Siemens RUGGEDCOM

Siemens Ruggedcom, 300 Applewood Crescent, Concord, ON L4K 4E5, Canada

IEEE Toronto ComSoc Chapter in partnership with IEEE Toronto Industrial Relations are inviting all interested to a unique opportunity to visit Siemens RUGGEDCOM Facility at 300 Applewood Crescent, Concord, ON L4K 4E5. RUGGEDCOM is a Canadian based company that is a subsidiary of Siemens. RUGGEDCOM networking products are designed to meet, even surpass internationally recognized industry standards for fast, reliable, standardized communications in numerous mission-critical industrial applications around the world. During the visit we will get to take a factory tour, meet with an R&D engineer and tour the R&D lab. RUGGEDCOM will host us for a lunch afterwards. Day & Time: Thursday May 23rd, 2019 10:00 a.m. ‐ 1:00 p.m. Organizers: IEEE Toronto ComSoc Transportation: The location is not far from Vaughan Metropolitan Centre (TTC). registered individuals are welcome to coordinate their own transportation to the location. Meeting point: We plan to meet inside the building entrance at 10am. Register: https://events.vtools.ieee.org/m/198904 Location: Siemens Ruggedcom, 300 Applewood Crescent Concord, Ontario, Canada L4K 4E5 Contact: Toronto_Chapter@comsoc.org

Assessment of Egocentric Spatial Orientation using Virtual Reality for Diagnosis and Monitoring Alzheimer’s Disease

TRI-UC, Basement Lecture theatre 550 University Ave., Toronto, M5G 2A2

Friday May 24th, 2019 at 12:15 p.m. Prof. Zahra Moussavi, Director of the Biomedical Engineering Program at University of Manitoba and Canada Research Chair, will be presenting “Assessment of Egocentric Spatial Orientation using Virtual Reality for Diagnosis and Monitoring Alzheimer’s Disease”. Day & Time: Friday May 24th, 2019 12:15 p.m. ‐ 1:15 p.m. Speaker: Zahra Moussavi Director of the Biomedical Engineering Program Professor & Canada Research Chair Department of Electrical & Computer Engineering University of Manitoba Organizers: IEEE Toronto WIE, IEEE Toronto, IEEE Toronto Engineering in Medicine and Biology Chapter, UHN Location: TRI-UC, Basement Lecture Theatre 550 University Ave., Toronto, M5G 2A2 GoToMeeting: https://global.gotomeeting.com/join/543203653 Contact: Dr. Maryam Davoudpour Abstract: Memory and cognitive declines are associated with normal brain aging but are also precursors to dementia, in particular the so called the pandemic of the century, Alzheimer’s disease. While currently there is no cure or “vaccine” against dementia, based on brain’s plasticity, there are hopes to delay the onset or to slow the progression of disease. Alzheimer’s disease is multi-facet condition; thus, the key to its management is in multi- disciplinary approaches. The clinical diagnosis of neurodegenerative disorders, in general, is based on an extensive evaluation of cognition and behavioral performance along with functional status, which provides a variable grade of accuracy especially at early stages of the disease. In this talk, I will review diagnostic objective methods that can assist Alzheimer’s diagnosis. In particular, I will elaborate on the application and research outcomes of virtual reality egocentric spatial assessment for and its potentials for a differential diagnosis of Alzheimer’s versus other types of dementia. Biography: Zahra Moussavi is a professor, a Canada Research Chair, and the founder and director of Biomedical Engineering Graduate Program at University of Manitoba. Her current research focuses are on medical devices instrumentation and signal analysis for sleep apnea management and Alzheimer’s diagnosis and treatment using virtual reality, rTMS and EVestG technologies. She is the recipient of several awards including the “Canada’s Most Powerful Women (Top 100)” and “Manitoba Distinguished Women” in 2014 and IEEE EMBS Distinguished Lecturer, 2014 and 2019. She has published more than 259 peer-reviewed papers in journals and conferences, and has given 94 invited talks/seminars including 2 Tedx Talks and 9 keynote speaker seminars at national and international conferences. Aside from academic work, on her spare time, she writes science articles for public; also has developed and offered memory fitness programs for aging population. Poster Link: Click here

MIMO Signalling: Knowing the Classics Can Make a Difference

Room BA-2135, University of Toronto

Thursday June 6th, 2019 at 10:00 a.m. Prof. Wing-Kin (Ken) Ma, Chinese University of Hong Kong, will be presenting an IEEE Signal Processing Society Distinguished Lecture “MIMO Signalling: Knowing the Classics Can Make a Difference”. Day & Time: Thursday June 6th, 2019 10:00 a.m. ‐ 11:00 a.m. Speaker: Prof. Wing-Kin (Ken) Ma Chinese University of Hong Kong Organizers: IEEE Signal Processing Chapter Toronto Section IEEE Communications Chapter Toronto Section Location: Room BA-2135, University of Toronto http://map.utoronto.ca/building/080 Contact: Mehrnaz Shokrollahi, Yashodhan Athavale, Michael Zara, Abstract: In this talk the speaker will share two stories of how his research was benefitted by learning from the basics. The first story concerns physical-layer multicasting, a topic that has been dominated bybeamforming and optimization techniques. We will see how the classical concept of using channel coding to fight fast fading effects gives spark to rethink multicasting, and how that leads to a stochastic beamforming approach that goes beyond what beamforming achieves. The second story considers one-bit massive MIMO precoding, an emerging and challengingtopic. Current research on this topic mostly focuses on optimization, often in a sophisticated, if not complicated, manner. We will see how the traditional idea of Sigma-Delta modulation for DAC of temporal signals can be transferred to the spatial case, leading to one-bit massive MIMO precoding solutions that are simple and have quantization error well under control. Biography: Wing-Kin (Ken) Ma is a Professor with the Department of Electronic Engineering, The Chinese University of Hong Kong. His research interests lie in signal processing, optimization and communications. His mostrecent research focuses on two distinct topics, namely, structured matrix factorization for data science and remote sensing, and MIMO transceiver design and optimization. Dr. Ma is active in the Signal Processing Society. He served as editors of several journals, e.g.,Senior Area Editor of IEEE Transactions on Signal Processing, Lead Guest Editor of a special issue in IEEE Signal Processing Magazine, to name a few. He is currently a member of the Signal Processing for Communications and Networking (SPCOM) Technical Committee. He received Research Excellence Award 2013– 2014 by CUHK, the 2015 IEEE Signal Processing Magazine Best Paper Award, the 2016 IEEE Signal Processing Letters Best Paper Award, and the 2018 IEEE Signal Processing Best Paper Award. He is an IEEE Fellow and is currently an IEEE SPS Distinguished Lecturer.

Data Mining and Machine Learning with Application to Medical Data

TRI-UC, Basement Lecture theatre 550 University Ave., Toronto, M5G 2A2

Wednesday July 17th, 2019 at 12:15 p.m. Prof. Steven Wang, Professor in Statistics at York University, will be presenting “Data Mining and Machine Learning with Application to Medical Data”. Day & Time: Wednesday July 17th, 2019 12:15 p.m. ‐ 1:15 p.m. Speaker: Prof. Steven Wang Professor in Statistics Department of Mathematics and Statistics York University Organizers: IEEE Toronto Robotics, IEEE Toronto WIE, EMB, UHN Location: TRI-UC, Basement Lecture theatre 550 University Ave., Toronto, M5G 2A2 GoToMeeting: https://global.gotomeeting.com/join/435099981 Contact: Prof. Azadeh Yadollahi Abstract: In this talk, we will discuss some applications of data mining and machine learning to medical data. We will discuss a variety of topics: genetic analysis, signal processing method for ECG and EEG, personalized medicine, autoimmune disease and human microbiome analysis. We will also share our experience on data including issues related to data cleaning and missing values. Biography: Dr. Steven Wang is a professor in Statistics at the Department of Mathematics and Statistics. He received his Ph.D. in Statistics from the University of British Columbia in 2001 and did one year Postdoc on Data Mining at the Pacific Institute of Mathematical Sciences. He joined York University in 2002 and currently a full professor in Statistics. His research included statistical theory, data mining, optimization and machine learning. With his co-inventors, he has applied a Canadian and US patent for deep learning method. In the past 10 years, his research is focused on machine learning and medical data. Poster: See Poster

IEEE Toronto Centennial Workshop: Distributed Machine Learning, Basic Concepts

Room B3-09 Centennial College, Progress Campus 941 Progress Ave., Toronto, Ontario, M1G 3T8

Tuesday July 23rd, 2019 at 2:30 p.m. Reza Dibaj, Chair of Magnetics Chapter in the IEEE Toronto Section, will be presenting “IEEE Toronto Centennial Workshop: Distributed Machine Learning, Basic Concepts”. Day & Time: Tuesday July 23rd, 2019 2:30 p.m. ‐ 3:30 p.m. Speaker: Reza Dibaj Chair of Magnetics Chapter, IEEE Toronto Section Organizers: Magnetics Chapter, IEEE Toronto Centennial College Chapter, WIE IEEE Toronto Location: Room B3-09 Centennial College, Progress Campus 941 Progress Ave., Toronto, Ontario, M1G 3T8 Contact: Reza Dibaj Abstract: Machine Learning is an indispensable part of data science and there is no need to have a thorough programming background to benefit from it. Machine Learning (ML) and statistical techniques have provided a new era that enables us to convert the data to information, and transform the information into actionable knowledge. SciKit and TensorFlow are two states of the art libraries that can be used in Python and this seminar will open the gate to know their bases. The first seminar is about “Hello World!” Machine Learning program, using python language and SciKit learn library.