Many of these researchers are at the forefront of their disciplines, advancing initiatives across key areas of strength for 杏吧原创,鈥� says Rafik Goubran, Vice-President (Research, Innovation and International).

The following faculty members from the School of Computer Science are among the world’s top 2% most-cited scholars:

Artificial Intelligence & Image Processing

• Leopoldo Bertossi
• Frank Dehne
• Yuhong Guo
• Evangelos Kranakis
• Nicola Santoro

Computation Theory & Mathematics

• Prosenjit Bose

Networking & Telecommunications

• Michel Barbeau
• Anil Somayaji

Strategic, Defence & Security Studies

• Paul van Oorschot

These researchers鈥� contributions continue to have a significant global impact, reinforcing 杏吧原创鈥檚 commitment to innovative, real-world solutions through research.

The competition launched on May 28 with a lecture by Dr. Aras Kayvan, Senior Data Scientist at MindBridge, who introduced students to outlier analysis鈥攁 key concept in identifying unusual patterns in large datasets. From there, students were tasked with designing code-based solutions that balanced technical rigor, creativity, and clarity of insight.

Congratulations to Amin Nabavi, a Ph.D. student in the DSAAI program, who finished first place, who earned a MacBook Pro and a guaranteed interview for a paid internship at MindBridge. Second place was awarded to Mohammad Reza Zarei, a Ph.D. student in the Computer Science program, and third to Ahmed Elnimah鈥攂oth of whom also received tech prizes and internship interviews.

Please visit the Ottawa Life website for more information on the MindBridge Data Science Challenge.

Computer Science聽PhD student Adnan Khan is exploring a novel framework that harnesses AI to create tactile graphics from digital images.

鈥淯tilizing AI in tactile graphic creation opens up a world of possibilities鈥攆rom rapid, personalized conversion of visual data into touchable art to empowering individuals with vision impairment to independently access complex information,鈥� says Khan.

By integrating advanced machine learning techniques with computer vision, the system identifies critical visual information and transforms it into tactile representations suitable for embossing or 3D printing.

The approach automates the production process and offers adaptability, allowing the tactile graphic to be refined to meet individual sensory requirements.

鈥淭his research holds the promise of broadening individual鈥檚 educational, employment and everyday opportunities 鈥� ultimately enhancing inclusivity and quality of life.鈥�

– Story by Elizabeth Kane. about the cutting-edge advancements in AI and machine learning being made by other 杏吧原创 graduate students.

This 5.0 credit program requires students to complete the following:

*Important

• Thesis students with funding who wish to switch to the Non-Thesis pathway may lose all or part of their funding.
• Non-Thesis pathway students seeking to do the coursework and graduate project option, should not begin working on their graduate project until they have found a supervisor. Additionally, registration in COMP 5903 (Graduate Project) will not be permitted until the student can prove they have secured a supervisor. Continuous registration in COMP 5903 is required until the graduate project is completed. This includes registration in the summer term.
• Non-Thesis, coursework-only pathway students do not require a supervisor.
• This program pathway will be viewable in the 2025-26 Graduate Calendar, which will be released in early May 2025.

MHCI students benefit from small class sizes and the opportunity to engage in cutting-edge research in areas such as Healthcare & Rehabilitation Design, Computer Game Design, Human-Centered Privacy & Cybersecurity, and more.

The MHCI program is suitable to a wide range of backgrounds, including the humanities and social sciences, cognitive science, design, engineering, and computer science.

Join us for an Info Session to see if this graduate program is right for you!

Data Day includes presentations by 杏吧原创 researchers and industry experts, a keynote address, panel discussion and networking opportunities, as well as a poster competition to showcase graduate student research in data science across all disciplines.

Don鈥檛 miss our tenth annual Data Day, a must-attend event for those studying or working in data science, analytics and related fields!

Data Day 10.0 will focus on聽The Next Decade for Data Science. In keeping with this theme, the event program includes sessions on explainable AI, data science and heath care, and data science and the environment.

On Wednesday, May 17, at the picturesque Isabel Bader Centre for the Performing Arts, located in Queen’s University, Kingston, Georgia Loewen will showcase her research in the field of Human-Computer Interaction. The contest will commence at 10 a.m., promising a morning filled with fascinating insights and compelling presentations.

If you cannot attend the event in person, don’t worry! You can still be part of the action by watching the event’s live stream. Visit to catch all the excitement.

For additional information about the Ontario 3MT competition, including profiles of the participants and event details, please visit the official website at .

Join us in supporting Georgia Loewen as she represents 杏吧原创 University and demonstrates her research prowess in this prestigious event. Stay tuned for updates and cheer her on as she competes against other talented individuals!

Let’s wish Georgia Loewen the best of luck as she takes on the Ontario 3MT challenge!