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  • Career Night Series: Which Direction Should I Take with My Career?

    On Tuesday, September 22, 2020 at 6:00 p.m., IEEE Toronto WIE will host the webinar “Career Night Series: Which Direction Should I Take with My Career?”. Day & Time: Tuesday, September 22, 2020 6:00 p.m. – 8:00 p.m. Organizers: IEEE Toronto WIE, Ryerson Computer Science Location: Virtual – Webinar Contact: Wincy Li Description: Not sure whether to pursue a PhD or Postdoc? Unclear about your career options? In this webinar, you will learn how to research the labour market so that you will be empowered with the tools and resources you need for career decision making and planning. If you require any accessibility needs, please contact Wincy at wincyli@ryerson.ca as soon as possible. Register: Click here to visit the registration page.

  • IEEE Day

    IEEE Toronto Section is inviting you to our VIRTUAL celebration of IEEE Day on Tuesday, October 6, 2020! Day & Time: Tuesday, October 6, 2020 10:00 a.m. – 3:00 p.m. Speakers: Dr. Rasheed Hussain, Dr. Melike Erol-Kantarci, Dr. Sahar Rahmani, Dr. Sarath Chandar, Dr. Haniyeh Yousefpour Organizers: IEEE Toronto Section, IEEE Toronto WIE Location: Virtual – Zoom Contact: Dustin Dunwell, Maryam Davoudpour Register: Please visit https://events.vtools.ieee.org/m/239738 for the Zoom link and to register. Agenda: 10:00 a.m. – 11:00 a.m. Panel Moderator: Dr. Fatima Hussain Dr. Melike Erol-Kantarci Dr. Sahar Rahmani 11:00 a.m. – 12:00 p.m. Keynote Dr. Rasheed Hussain 12:00 p.m. – 1:00 p.m. Break 1:00 p.m. – 2:00 p.m. Tech Talk Dr. Sarath Chandat, MILA 2:00 p.m. – 3:00 p.m. Tech Talk Dr. Haniyeh Yousefpour   Biographies: Rasheed Hussain, PhD, SMIEEE Topic: The Role of APIs in Connected and Autonomous Cars: A Case for Critical Applications Rasheed Hussain is working as an Associate Professor and the Director of Institute of Information Security and Cyber-Physical Systems at Innopolis University, Innopolis, Russia. He is also the head of Networks and Blockchain Lab at Innopolis University and serves as an ACM Distinguished Speaker. He is a senior member of IEEE, member ACM, and serves as an editorial board member for various journals including IEEE Access, IEEE Internet Initiative, Internet Technology Letters, Wiley, Cluster Computing, Springer, and serves as a reviewer for most of the IEEE transactions, Springer and Elsevier Journals. He also serves as technical program committee member and chair of various conferences such as IEEE VTC, IEEE VNC, IEEE Globecom, IEEE ICCVE, IEEE ICC, ICCCN, and so on. He is a certified trainer for Instructional Skills Workshop (ISW) and a recipient of Netherland’s University Teaching Qualification (Basis Kwalificatie Onderwijs, BKO). His research interests include Information Security and Privacy and particularly security and privacy issues in Vehicular Ad Hoc NETworks (VANETs), vehicular clouds, and vehicular social networking, applied cryptography, Internet of Things, Content-Centric Networking (CCN), cloud computing, API security, and blockchain. Currently he is working on the machine and deep learning for IoT security and API security. Melike Erol-Kantarci, PhD., P.Eng., SMIEEE Topic: AI-enabled wireless networks: Opportunities and Challenges Towards 6G Melike Erol-Kantarci is Tier 2 Canada Research Chair in AI-enabled Next-Generation Wireless Networks and associate professor at the School of Electrical Engineering and Computer Science at the University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She has over 140 peer-reviewed publications which have been cited over 5000 times and she has an h-index of 37. She is selected to the 2019 list of “N2Women: Stars in Computer Networking and Communications”. She has received the IEEE Communication Society Best Tutorial Paper Award and the Best Editor Award of the IEEE Multimedia Communications Technical Committee in 2017, in addition to several other best paper awards. She is the co-editor of three books on smart grids and smart cities. She has delivered 40+ tutorials, plenary talks and seminars around the globe. She has acted as the general chair or technical program chair for many international IEEE conferences and workshops. Most recently, she is the TPC co-chair for IEEE CAMAD 2020, a symposium co-chair for IEEE Globecom 2020, and a track co-chair for IEEE SmartGridComm 2020. She is a senior member of the IEEE. Her main research interests are AI-enabled wireless networks, 5G and 6G wireless communications, smart grid, electric vehicles, Internet of things and wireless sensor networks. Sahar Rahmani, PhD Work Domain: Data scientist on digital/cyber crime detection Dr. Sahar Rahmani is the Director of the Data Science team at the Global Cyber Security team at RBC. Her role involves leading a team of data scientists and machine learning engineers to provide AI solutions for detecting the ever-changing landscape of cyber/digital crime. She is responsible for implementing scalable real-time machine learning solutions for our stakeholders’ security related problems. Her team, also brings insight and analytics to RBC’s controls, and risks to help executives make data-driven strategic decisions. Her continuous encouragement and emphasizing on innovations in the application of AI/ML in digital risk, resulted in solving business problems in effective ways, creating multiple patents, and presenting multiple conference talks. She has a PhD in Astrophysics from the Western University, where she applied big data analysis and data science models on astronomical data.

  • Career Night Series: Writing an Effective CV

    On Tuesday, October 6, 2020 at 6:00 p.m., IEEE Toronto WIE and IM/RA will host “Career Night Series: Writing an Effective CV”. Day & Time: Tuesday, October 6, 2020 6:00 p.m. – 8:00 p.m. Organizers: IEEE Toronto WIE, IM/RA, Ryerson Computer Science Location: Virtual Contact: Wincy Li Description: Not sure what the difference is between a resume and a CV? Unclear about how to structure your CV or what content to include? Join us for this webinar to learn how to construct an effective CV! If you require any accessibility needs, please contact Camara Chambers at c.chambers@ryerson.ca. Register: Please visit https://lnkd.in/gBaMf9y to register.

  • Python Project-based Workshop: How to build your own intelligent agent

    On Friday, November 13, 2020 at 10:00 a.m., Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. Day & Time: Friday, November 13, 2020 10:00 a.m. – 12:00 p.m. Speaker: Enas Tarawneh Organizers: IEEE Toronto WIE, IM/RA, York University WiCSE Location: Virtual Contact: Ayda Naserialiabadi Abstract: The workshop will focus on creating an intelligent agent that can listen to questions given through natural language and generate natural language responses. The workshop will also dabble into customizing the voice used in these responses. This workshop includes: a) Programming speech recognition. b) Leveraging cloud-based resources such as speech-to-text, text-to-speech and AI querying to generate responses. c) Connect these together to create a turn taking intelligent agent. d) Customizing the voice used in these generated responses. Register: Please click here to register. Biography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this, Enas worked as an academic Lead, instructor, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly, Enas is a wife and mother of three, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.

  • Python Project-based Workshop: How to track motion from bird eye multiple camera perspectives

    On Friday, November 27, 2020 at 10:00 a.m., Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. Day & Time: Friday, November 27, 2020 10:00 a.m. – 12:00 p.m. Speaker: Enas Tarawneh Organizers: IEEE Toronto WIE, IM/RA, York University WiCSE Location: Virtual Contact: Ayda Naserialiabadi Abstract: The workshop will focus on extracting images from multiple sources (webcam, video, ROS bag) and perform image processing to detect regions of high motion or change over a period. The workshop will also show how to stitch the multiple bird eye views from multiple cameras together to form one image of the floor where the motion is detected. This workshop includes: a) Extracting frames from a camera, video or ROS bag and generating a image stream b) Stitching the multiple bird eye views and calibrating to create one 2D image of the floor c) Perform multiple image processing to extract motion d) Create a motion map on the generated image of the floor. Register: Please click here to register. Biography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this, Enas worked as an academic Lead, instructor, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly, Enas is a wife and mother of three, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.

  • Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System

    On Thursday, December 10, 2020 at 1:30 p.m., Steve Delaney will present “Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System” and Iwona Sokalska will present “Corda Blockchain as a Sustainable Supply Chain for Open Education”. Day & Time: Thursday, December 10, 2020 1:30 p.m. – 2:45 p.m. Speakers: Steven Delaney, Iwona Sokalska Organizer: Ryerson CS Graduate Student Council, IEEE Toronto WIE, IM/RA Location: Virtual Contact: Ayda Naserialiabadi Abstracts: Title: Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System Cost effective, efficient and exemplary healthcare services is of paramount importance to all Canadians.   Countries around the world are addressing this through the consolidation and integration of siloed patient healthcare records into a unified system.  However, consolidation and advances in technology that generate healthcare data threaten to overload clinicians with information. This makes the usability of healthcare data in terms of speed of access and relevancy that is optimized to the role of the clinician and healthcare scenario, key to the success of the unified healthcare system.   My research objective is to design and demonstrate a solution, that provides clinicians with a superior experience that provides them with the most relevant data for the current needs of the patient in order to determine and apply the best treatment in a timely manner, using Semantic Web and Blockchain technology to support patient privacy and role based access and permission controls. Title: Corda Blockchain as a Sustainable Supply Chain for Open Education: Blockchain solutions are disrupting the established supply chains. The ability to customize the transaction in the “business context” is one of the key reasons why blockchain will play a major role in reinventing the existing rigid supply chains. In this presentation, we are going to look at Corda blockchain features that enable powerful supply chains capable of supporting new business models. We are going to build a case of why such a disruption is needed in the publishing industry to support the Open Education and Higher Education Affordability Act. The open education licences require proper attribution of contributors. One of the challenges in open education is that licences can be easily misused by 3-rd party content purveyors. In addition, content creators often do not know where and how their content is being used. It is impossible for content creators to measure the impact of their works or to prevent licence misuse. Universities, professors, retail bookstores, libraries and 3rd party higher education platforms constitute a complex ecosystem. In this ecosystem, real barriers are causing scaling issues. The issues include content findability, compliance, licence misuse, licence rigidity and proliferation of licence types and lack of interoperability for licences. The presentation will outline a Corda based supply chain and Information Retrieval to addresses these issues. Providing a decentralized platform for independent players in a system to reduce the complexity of transacting. Mainly by using smart contracts to manage licence agreement workflows. Scalability, data privacy and data traceability are key considerations in the Corda blockchain which can be leveraged to support a sustainable business model and healthy ecosystems. Register: Please visit https://events.vtools.ieee.org/m/246971 to register. Biographies: Steve Delaney Steve is a PhD candidate in Computer Science at Ryerson University working on the data quality of healthcare records.  He has an MBA from York University and an Honours Bachelor of Science degree from the University of Toronto.  He obtained his ICD.D certification from the Institute of Corporate Directors/Rotman School of Business.  He is currently on the Board of the CIO Association of Canada and is a member of several Advisory Councils.  Steve is the Co-Founder of Capital Blockchain, a Canadian firm that develops blockchain solutions for the private and public sector.  Previously Steve was the CIO of the Ontario Telemedicine Network, CIO of MCAP ( $100B mortgage firm) and VP Technology at RBC and BCE. Email: steven.delaney@ryerson.ca Iwona Sokalska Iwona Sokalska is a 2nd-year Computer Science PhD student at Ryerson University. Iwona’s interests are in the automation of knowledge dissemination and knowledge extraction. Under the supervision of Professor Andriy Miranskyy, Iwona is developing techniques for semantic code analysis using Artificial Intelligence, specifically Graph Neural Networks. Iwona is a co-founder of OpenSail, a distributed platform for licenced content dissemination. With over 10 years of experience, Iwona has designed products and services in Medical Imaging, Medical Informatics and Enterprise Knowledge Management Systems. Iwona holds an Honours B.Sc. double major in Computer Science and Mathematics from York University and an M.Sc. Data Science and Analytics from Ryerson University. Her mission is to improve the support of Open Education Community and increase adoption of Open Education Resources in institutions around the world.

  • Career Night Series: Writing Attention Grabbing Resumes

    On Tuesday, January 19, 2021 at 6:00 p.m., IEEE Toronto WIE and IM/RA will host “Career Night Series: Writing Attention Grabbing Resumes & Cover Letters”. Day & Time: Tuesday, January 19, 2021 9:00 p.m. – 10:30 p.m. Organizers: IEEE Toronto WIE, IM/RA, Ryerson Computer Science Location: Virtual Contact: Wincy Li Description: Unclear about how to tailor a resume to industry jobs? Want to learn how to describe your accomplishments in an impactful manner? In this webinar, you will learn how to gain the attention of hiring managers with well-written resumes and cover letters! For accessibility needs, please contact Wincy at wincyli@ryerson.ca as soon as possible. Register: Please visit https://ryerson.zoom.us/webinar/register/WN_K0eDFX2LQtu97tfq0Wpy_w to register.

  • IndustrioTech© Seminars – Smart Maintenance

    IEEE Toronto WIE and IM/RA is hosting “IndustrioTech”, a series of seminars on Smart Maintenance (Predictive Maintenance) using variety of technologies. Day & Time: Thursday, January 28, 2021 6:00 p.m. – 8:00 p.m. Speakers & Topics: Dr. Ahmad Barari Director of Advanced Digital Manufacturing and Advanced Digital Metrology Laboratories, Associate Professor at University of Ontario Institute of Technology Topic: LIVE Simulation for Predictive Maintenance Mohsen Tayefeh Industry 4.0 strategic Business manager, CAD MicroSolutions Topic: Imperative foundations toward Smart Maintenace: Matching up the Technology with the Business Value Shafiul Alam Research Engineer McMaster Manufacturing Research Institute (MMRI) Topic: Predictive Maintenance and Industry 4.0 (Case study Honda manufacturing plant) Dr. Amir Harandi CEO, Artintech Inc. Topic: ML and GA: Artificial Intelligent techniques in Smart Maintenance Organizer(s): IEEE Toronto WIE, IM/RA Location: Virtual Contact: Ayda Naserialiabadi Register: Please visit here to register.

  • Project-based Python Workshop 3

    On Friday, February 5, 2021 at 10:00 a.m., IEEE Toronto WIE will host a Python workshop, “How to Use LSTM for Text and Time Series Classification”. Day & Time: Friday, February 5, 2021 10:00 a.m. – 12:00 p.m. Speaker(s): Enas Tarawneh Organizer(s): IEEE Toronto WIE, York University WiCSE Location: Virtual Contact: Hina Tabassum Abstract: This workshop focuses on how to classify or label text using bi-LSTM RNNs. It includes pre-processing/cleaning of the text and handling severely imbalanced classes using SMOTE, oversampling, under-sampling, class count, and log smoothen weights. Using different types of LSTM such as vanilla LSTM, and Bi-LSTM, we focus on time series problems with categorical data.  In summary, this workshop will cover: a) Preprocessing text and data b) Handling imbalanced datasets c) Use different types of LSTMs for text and time series classification d) Produce meaningful classification reports Register: Please visit http://bit.ly/39IQFXd to register. Biography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship.  Prior to this, Enas worked as an academic Lead, instructor, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly, Enas is a wife and mother of three, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.

  • Classifying Holes, Voids, Negative Objects and Nothing and Quantum Computing

    Date: Tuesday, March 9, 2021 Time: 1:00 p.m. - 2:00 p.m. Speakers: Katrina Hooper, Javaid Iqbal Zahid Location: Virtual - Zoom Organizers: IEEE Toronto WIE Contact: Maryam Davoudpour Abstracts: In the fields of Urban Search and Rescue (USAR), Search and Rescue (SAR) and autonomous travel, understanding the entirety of the environment is an asset and most times a requirement. For example, in USAR, it is in the spaces between objects within a rubble pile, which are a type of negative objects, where trapped people can be found and where structural instabilities are located. While most research focuses on classifying positive objects, we work to build a framework to understand negative objects and a set of standardized terminology to discuss and classify them. This presentation will discuss the necessity for creating a lexicon for negative objects, exhibit applications of negative object research, and suggest a starting point for vocabulary to reduce ambiguity around classes of negative objects. Furthermore, we aim to spark a discussion about negative object research and suggest a starting point for a novel research area. Quantum computing is one of the emerging technologies for the future. Quantum computing is based on the principles of quantum mechanics and fuses beautifully with computer science. It is often in the news when computing supremacy is discussed. Governments and big technology companies like, IBM, Google, Microsoft, Intel, etc. along with private partners, are heavily investing in this technology. Quantum mechanics is based on counterintuitive properties like superposition, entanglement, and interference that make it different from classical computing. It is expected to outperform classical computing in certain areas of applications, like medical science, computer science, and cryptography, to name a few. In this talk, we will discuss the fundamentals of quantum computing with an introduction to the principle/properties of quantum mechanics, its usefulness for representing information, and what operations can be performed on the information represented by Qubits. While quantum gates, the fundamental information processing units of quantum computing are based on mathematical constructs from Linear Algebra and Probability, classical computing is based on Boolean Algebra and Logics gates. A number of possibilities for representing and processing quantum information are much larger than classical computing – hence the promise of larger computer power of quantum computing. Biographies: Katrina Hooper Katrina is in her final year in her Computer Science Masters at Ryerson University. She holds an Honors BSc. from the University of Toronto with a specialist in Physics and a minor in Mathematics. Her interests are in the development of negative object research and imitation learning for chess engines. Under the supervision of Dr. Alex Ferworn, she works to build a lexicon and a classifier for negative objects. Javaid Iqbal Zahid Mr. Javaid Iqbal Zahid is currently a PhD student in Department of Computer Science, Ryerson University, and is supervised by Dr. Alex Ferworn. Mr. Javaid holds Bachelor of Science degree in Telecommunication Engineering and Master of Science degree in Electrical Engineering, specializing in Communications and Computing. Additionally, he obtained advanced training in Cryptology and Wireless communications. Inspired by Dr. Claude E. Shannon, he has special interest in information theory, cryptography. He has been involved in deployment and operations of data networks and datacenters for a large government organization. He has also been acting as chief information security officer (CISO). At Ryerson, he is currently conducting research in quantum computing with special attention in quantum cryptography. He is member of IEEE Computer, Communication, and Information Theory Societies.

  • In celebration of International Women’s Day Wearables in Healthcare: A Woman’s Perspective

    Join us for an afternoon celebrating the work of women in wearable technology focused on health and life stages. Network with women using and integrating tech for the value it can provide. Collaborate in workshops where we will co-design the future wearables, apps and services that address our priorities and needs. Date: 10 Mar 2021 Time: 03:00 PM to 05:00 PM Speaker(s): Renn Scott, Samira Rahimi Location: Virtual Organizer(s): IEEE Toronto WIE, IM/RA Contact: Toronto Section Affinity Group,WIE, Toronto Section Jt. Chapter, IM09/RA24 Biographies: Renn Scott; MA, Interaction Design, RCA, Founder + Chief Designer of Daily Goods Design LABS, Senior Director of UX + ID at Myant A design leader and prolific inventor, Renn has a passion for creating innovative user experiences and forward-thinking product designs. With over 20 years of experience at companies such as Myant, IBM and BlackBerry in leadership roles within user experience, design research, consumer insights and strategic innovation, Renn has helped design best in class products and experiences. Renn’s hands-on approach and point of view as a designer is radically different than most. For any project she always starts with ‘WHY create’ in the first place and uses a co-creative design methodology and best practices based on insights gained from female consumers. Renn’s experience and observations has been that there is a lack of female design leaders and designers in the tech and design fields. Instead of just leading by example Renn also strives to empower other women to make, create and innovate in the field of design, technology and fashion by sharing her insights, skills and knowledge through Daily Goods Design LABS pop ups and educational event series. Samira Rahimi Eng. Ph.D., Assistant Professor, Department of Family Medicine, McGill University Samira Rahimi Eng. Ph.D. is an Assistant Professor in the Department of Family Medicine at McGill University, affiliated scientist at Lady Davis Institute for Medical Research of the Jewish General Hospital, and academic member of Mila—Quebec AI Institute. She is FRQS Junior 1 Research Scholar in human-centered AI in primary health care. Her work as Principal Investigator has been funded by the Fonds de recherche du Québec – Santé (FRQS), Natural Sciences and Engineering Research Council (NSERC), Roche Canada, Brocher Foundation (Switzerland), and the Strategy for Patient-Oriented Research (SPOR)-Canadian Institutes of Health Research (CIHR). With an interdisciplinary background, Dr. Rahimi is interested in the development and implementation of clinical decision support tools and patient decision aids, as well as integrating human-centered AI tools in primary health care. She specializes in computational intelligence, decision making, and applied operational research in health care.

  • Hands-on Reinforcement Learning Workshop using Python

    Montreal, Quebec Canada

    IEEE Young Professionals Affinity Group Montreal brings you a free hands-on reinforcement learning workshop using Python in Google Colab. This event is co-hosted by IEEE YP Ottawa, YP Toronto, YP Vancouver, IEEE SBs of Polytechnique Montreal, Concordia, ETS, INRS, WIE Ottawa, SIGHT Montreal, and CAS technical chapter of vancouver section. All students at all levels are welcome to attend, however, registration is mandatory through the secure IEEE web portal. This workshop will cover the basics of using Colab, an introduction to reinforcement learning, and together we will write your first Q-learning code. The workshop will be interactive, and you will have a chance to code with us and ask your questions. We will also have breaks, a discussion forum, polls, and Q&A. Virtual platform info has been delivered to registrants in rounds of emails. For immediate assistance, please write us at yp.ieee.mtl@gmail.com Speakers: Sadia Khaf Sadia Khaf received the B.E. degree in electrical engineering from the National University of Sciences and Technology, School of Electrical Engineering and Computer Science (NUST-SEECS), Islamabad, Pakistan, in 2015. She received the M.Sc. degree in electrical and electronics engineering from Bilkent University, Ankara, Turkey, in 2018. From 2015 to 2018, she was a Research Assistant with IONOLAB, Turkey. From 2018 to 2020, she worked with the Faculty of Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), Pakistan, as a Lecturer. She conducted her research there on Mobile Edge Computing and Deep Learning with the TeleCoN research group. Currently, she is with École de Technologie supérieure, Montreal, Canada, as a Ph.D. student. Her research interests include reinforcement learning, radio resource management, cognitive radio networks, and industrial internet-of-things (IIoT). She was the recipient of the highest level of merit scholarships at NUST, Bilkent, and ÉTS. She also secured the P.E.O. International Peace Scholarship. She is the co-founder of SAYA school, Pakistan, and IEEE Women in Engineering (WIE) branch at ÉTS. She serves as the Vice-Chair of the IEEE ÉTS and Industrial Relations Manager of the IEEE Montreal Young Professionals Affinity Group. Faye Satari Faye Satari was born in Quchan, a small town with minimal educational infrastructure and facilities. When she finished primary school, she was accepted in the provincial entrance exam of the Exceptional Talents High School. After excelling in high school and hard working around the clock, she participated in a very competitive tuition-free nationwide university entrance exam (i.e. Konkour) among about one and half million participants; She was accepted in Computer Software Engineering of Urmia University. During her undergraduate education, she actively participated in many teamwork projects and attended some technical seminars as well as joining associations at her university. Furthermore, she got the title of top student in technical faculty of the university in one semester and received her B. Sc. degree in Computer Software Engineering from Urmia University of Technology, Urmia, Iran, in 2008. She is currently pursuing an M.Sc.A. Computer Engineering in the Department of Computer and Software Engineering, Polytechnique Montréal, University of Montreal, Montreal, Canada and she is a member of IEEE Young Professionals. Her current research interests include the Internet of Things (IoT), Smart Cities, and telecommunications systems.