News for Current students

Thursday, March 14, 2024

University Professor M. Tamer Özsu receives 2024 IEEE TCDE Education Award

photo of University Professor M. Tamer Özsu

University Professor M. Tamer Özsu has received the 2024 IEEE Technical Committee on Data Engineering Education Award for his fundamental contributions to data management and data science pedagogy. One of four prestigious annual awards conferred by IEEE TCDE, the Education Award recognizes database researchers who have made an impact on data engineering education, including impact on the next generation of data engineering practitioners and researchers.

Tuesday, March 12, 2024

Waterloo Blockchain growing by leaps and bounds

image depicting cryptocurrency

Fahim Ahmed is a computer science and finance student at Waterloo, and the president and co-founder of Waterloo Blockchain. But what feels like a direct path to success now, took him a while to find.

Fahim was only 12 years old when he started crypto-mining.

“I had seen people talking about it a lot online, so I set up my own hardware to do mining in my bedroom,” he recalls. “I just wanted money to buy video games!”

Monday, March 11, 2024

Meet Pengyu Nie, a professor who uses machine learning and natural language processing to improve software engineering

photo of Professor Pengyu Nie

Pengyu Nie obtained his PhD in 2023 and MSc in 2020 from The University of Texas at Austin, where he was advised by Milos Gligoric. He has a BSc from University of Science and Technology of China, which he received in 2017.

Friday, March 8, 2024

International Women’s Day: Celebrating five Cheriton School of Computer Science researchers

Photo of cs researchers

Friday, March 8, 2024 marks International Women’s Day, a global holiday recognizing gender-related issues and honouring female achievements. To celebrate, the Cheriton School of Computer Science is highlighting five female students and faculty who paved significant research breakthroughs this past year.  

Thursday, March 7, 2024

Cheriton researchers find that survey participants duped by AI-generated images nearly 40 per cent of the time

photo of Lesley Istead, Andreea Pocol, Sabrina Mokhtari

If you have trouble figuring out if an image of a person is real or if it’s been generated using artificial intelligence, you’re not alone.

A new study conducted by Cheriton School of Computer Science researchers found that people had more difficulty than expected distinguishing who is a real person and who is artificially generated.

The study saw 260 participants provided with 20 unlabeled pictures: 10 of which were of real people obtained from Google searches, and the other 10 generated by Stable Diffusion or DALL-E, two commonly used AI programs that generate images.

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