Newsletter

High-Speed Interconnects: The AI Backbone

Author : Saba Zargham 

High-speed interconnects are the physical links and protocols that enable rapid data transfer between chips, devices, or systems. They include standards like PCI Express (PCIe), Ethernet, InfiniBand, and proprietary links such as NVIDIA NVLink. These interconnects provide high bandwidth—often hundreds of gigabytes …

Saba Zargham

Saba Zargham received her B.Sc. degree in Electrical Engineering from Sharif University of Technology in Tehran in 2016, and her M.A.Sc. degree in Electrical and Computer Engineering from the University of Toronto in 2020. Her master’s research focused on CMOS RF integrated circuits for wireless …

AGM 2024

Appreciation of Service Award

Maryam Davoudpour
Ajmery Sultana
Saba Rafieian
Marc Lijour

Outstanding New Leader Award

Bella Yang
Yoga Suhas Kuruba Manjunath

Dr. Carolyn Moorlag

Dr. Carolyn Moorlag received MSc and PhD degrees from the University of British Columbia in Metals and Materials Engineering and Materials Chemistry.  She conducted an NSERC post-doctoral fellowship at the Xerox Research Centre for Canada (XRCC), and then worked at XRCC for 15 years, eventually …

Impact of Open Source 5G Projects

5G technology promises to revolutionize communications with high-speed connectivity and innovation. Open-source 5G projects leverage collaborative efforts to drive advancements. Key open-source 5G projects include Aether, OpenAirInterface, Open5gs, Free5gc, Open5gCore, and Magma, each contributing uniquely to this technological evolution. These projects have revolutionized the telecom …

Hina Tabassum

Hina Tabassum (Senior Member, IEEE)  received her bachelor’s degree in Electronics Engineering from NED University of Technology (NEDUET). She secured first position among all engineering universities of Karachi, Pakistan. For her achievement,  she received Gold medals from NEDUET and from SIEMENS. She then joined R&D at Pakistan …

Differentiable Projections for Guaranteed Convex/Non-convex Constraints Satisfaction in Deep Learning Empowered Wireless Radio Resource Management

By. Hina Tabassum
The next generation of wireless networks is anticipated to be more complex and heterogeneous due to higher transmission frequencies, massive antenna arrays, ultra-dense deployments, mobility of transceivers, and static/dynamic link blockages. These features lead to faster variations in the propagation channel. Subsequently, the …