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U of T Engineering News

MIE PhD candidate Arman Arezoomand in the Decisionics Lab of Professor Fae Azhari (MIE, CivMin). Thanks to the Data Sciences Institute (DSI) Doctoral Student Fellowship, Arezoomand is advancing research on robotic skin for prosthetics and other robotic applications. (photo by Sarah Yuan)

Research into ‘robotic skin’ could help restore a sense of touch for those with prosthetic digits

Milos Stojadinovic explains how banks safeguard themselves and their customers from cyber threats at the inaugural Tech@RBC Insider session. (photo by Neil Ta)

Generous RBC gift creates transformative scholarships, sets students up for careers in tech

Left to right: Computer Science student Vishwa Dave and Hudson Jantzi (Year 1 CompE) both received a 2025 Schulich Leader Scholarship. (photos courtesy of students)

2025 Schulich Leaders grateful for ‘life-changing’ scholarship to study STEM at U of T

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Her Excellency the Right Honourable Julie Payette (ECE MASc 9T0, at right) presents the Meritorious Service Cross to Professor Tom Chau (IBBME), Pierre Duez (EngSci 0T0, MASc IndE 0T3), Andrea Lamont, and Eric Wan (CompE 1T0, ECE MASc 1T3) on Tuesday, December 12, 2017, during a ceremony at Rideau Hall. (Credit: MCpl Vincent Carbonneau, Rideau Hall, OSGG).

Professor Tom Chau, U of T Engineering alumni awarded Governor General Meritorious Service Decoration

December 12, 2017

Professor Javad Mostaghimi (MIE) appears in the trailer for the film Downsizing.

U of T Engineering professors appear in Downsizing film

December 12, 2017

Professors Brenda McCabe, Daman Panesar, Shoshanna Saxe, Heather MacLean and Daniel Posen (all CivE) are collaborating with companies in construction, building services and engineering consulting to reduce the greenhouse gas impacts of future infrastructure projects. (Photo: Tyler Irving)

Green infrastructure: New tool to help construction industry reduce carbon footprint

December 8, 2017

In a comment piece published today in Nature, Professor Ted Sargent (ECE) and his co-authors suggest that artificial intelligence and machine learning could be leveraged to speed up the development of sustainable energy technologies. (Photo: Johnny Guatto)

Artificial intelligence can accelerate the race toward sustainable energy technologies

December 6, 2017

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