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
Register: Please visit https://events.vtools.ieee.org/m/239738 for the Zoom link and to register.
|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
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.