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Congratulations to the authors of a collaborative research paper, including electrical and computer engineering adjunct associate professor Dr. George Shaker, for receiving a Best Paper Award (second place) in the General Paper Category at the prestigious .

The paper, titled “Radar-Based In-Home Monitoring System for Supporting Aging and Wellness,” presents innovative advancements in the use of radar technology to enable in-home health monitoring, addressing critical challenges faced by aging populations.

On November 28th, the Department of Electrical and Computer Engineering (ECE) at the University of ݮƵ unveiled the future of software engineering with its second Project Showcase for the graduate course Engineering Self-Adaptive Software Systems (ESASS). Led by Dr. Ladan Tahvildari, this innovative course, with support from IBM, integrates cutting-edge industry technologies with research-driven, hands-on learning to tackle real-world challenges in software adaptability.

Congratulations to Ryan Liu, a PhD student in electrical and computer engineering (ECE); Shreya Shinde, ECE alum from the MEng program; Dr. Ladan Tahvildari, Professor in ECE; and IBM collaborators Dr. Mark Stoodley, Dr. Marius Pirvu, and Vijay Sundaresan on their remarkable achievement!

Their paper, "Using Semeru Cloud Compiler to Enhance Cloud-Native Java Application Performance,"was honored with theBest Paper Awardat the 34th International Conference on Collaborative Advances in Software and Computing (CASCON).

Imagine shrinking satellite technology that predicts the weather into a device that transmits vital information about the health of the person wearing it.

University of ݮƵ engineers have achieved that technological feat that will help diabetics to monitor their glucose levels and other people faced with other chronic health problems.

Miswar Syed, a MASc student in theDepartment of Electrical and Computer Engineering,has received thefrom the non-profit organization.

The Young Leaders Award is a prestigious recognition that includes a cash prize of up to $75,000 and a year-long program designed to support visionary young leaders who are making significant contributions to the conservation and regeneration of the planet.

ݮƵ Engineering researchers have paired inexpensive wireless communication antennas with artificial intelligence (AI) to improve how doctors can detect bone fractures.

Led by Dr. Omar Ramahi, an electrical and computer engineering professor, the team has created anew system to detect bone fractures that is fast, accurate and safe.

Congratulations to electrical and computer engineering PhD students, Mingcheng He and Shisheng Hu. Both students, under the supervision of Professor Sherman Shen, have won prizes at the IEEE ComSoc Four Minute Thesis (4MT) competition held at the IEEE International Conference on Communications (ICC) 2024 in Denver, Colorado in June. ICCis one of two IEEE ComSoc's flagship conferences.

Electrical and computer engineering professor, Kankar Bhattacharya has been selected as the 2024 recipient of the esteemed IEEE Canada P.D. Ziogas Electric Power Silver Medal Award. His important contributions to the field of Electrical Power Engineering have distinguished him as an outstanding Canadian Engineer. The award will be presented to Professor Bhattacharya at an awards gala in August as part of IEEE’s flagship conference, the IEEE Canadian Conference on Electrical and Computer Engineering () in Kingston, Ontario.

As part of a recent Government of Canada announcement, seven University of ݮƵ doctoral students were named recipients of the Vanier Canada Graduate Scholarship (Vanier CGS). Two of those students are from elecctrical and computer engineering:

Jack deGooyer, Electrical and Computer Engineering, co-supervised byDr. Michael ReimerԻDr. Peter Levine, is working on a research project titled “A 400kHz ultra-low noise readout integrated circuit for a novel metamaterial photodetector.”
Read more aboutdeGooyer’s work.

Sarah Odinotski, Electrical and Computer Engineering, supervised byDr. Michael Reimer, is working on a research project titled “lntraoperative glioblastoma margin detection using metamaterial-based optical detectors.”
Read more aboutOdinotski’s work.