There have been significant advances in computer vision in the past decade. Current computer vision systems usually learn a generic model. In order to handle the diversity of the visual world, the current approach is to scale up the model. Although scaling has been proven effective in the era of large language model, I argue that there are also other alternative approaches we should explore. In this talk, I will introduce some of our recent work on building robust computer vision systems via adaptation and continual learning. Instead of learning and deploying one generic model, our goal is to learn a model that can effectively and continuously adapt itself to different environments. I will present applications of this framework in several computer vision applications.

ÐÓ°ÉÔ­´´ the Speaker: Yang Wang is currently an associate professor in the Department of Computer Science and Software Engineering, Concordia University. Previously, he was a faculty member at the University of Manitoba. During 2020-2022, he worked as the Chief Scientist in Computer Vision at the Consumer Business Group, Huawei Canada. He did his PhD from Simon Fraser University, MSc from University of Alberta, and BEng from Harbin Institute of Technology. Before joining UManitoba, he worked as a NSERC postdoc at the University of Illinois at Urbana-Champaign. His research focuses on computer vision and machine learning.

Moderator: Prof. Yuhong Guo

This event will be in-person. Light refreshments will be served.

Join us in downtown Ottawa for an adrenaline-pumping Capture the Flag (CTF) Cybersecurity Challenge hosted by !

Compete against other students in real-time cybersecurity scenarios, hone your skills, and win awesome prizes!
Whether you’re a beginner or pro, this event is for YOU. Bring your A-game, your curiosity, and your laptop—we’ll bring the challenges.

Enjoy a light lunch on us while you battle it out!

Spots are limited—register now to secure yours! CLICK HERE TO REGISTER

Don’t miss the chance to level up your cyber skills in a high-energy, supportive environment. Let the hunt begin!

Data Day 11.0: Empowering Tomorrow: Quantum Computing Meets Data Science and Machine Learning

Data Day 11.0 will focus on Empowering Tomorrow: Quantum Computing Meets Data Science and Machine Learning. In keeping with this theme, the event program includes panel discussions on quantum computing, data science, machine learning, and new workforce skills trends.

Jointly hosted by the Faculty of Science and theÌýÐÓ°ÉÔ­´´ University Institute for Data Science (CUIDS),ÌýData Day is an annual conference that celebrates the latest developments in data science and analytics research.

Data Day includes presentations by ÐÓ°ÉÔ­´´ 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.

Putting Test-Time Adaptation to the Test: Updates for Robust Visual Recognition

When the data shifts between training and testing the accuracy of predictions can degrade. The problem is that the data changes, but ourÌýsystems remain the same. Does it have to stay this way? In this talk we will examine how visual recognition can adapt and generalize to new and different data during testing. We will cover natural shifts, such as image corruptions, to highlight opportunities to update models (by entropy minimization and parameter mixing) and inputs (by diffusion) when the data differs. Then we will take a critical look at adversarial attacks through our case study of test-time adaptive defenses. On this front more adaptation is still needed in practice for empirical robustness, but there is progress in theory for certified robustness with our adaptive extension of randomized smoothing. As a last step, we will discuss what is next for test-time updates.

Ìýis an assistant professor at UBC in Vancouver, member of the Vector Institute, and senior research scientist at Google DeepMind. His research is on visual recognition, self-supervised learning without annotations, and robustness by adaptation. He earned his PhD at UC Berkeley advised by Prof. Trevor Darrell. He was the lead developer of the Caffe open-source deep learning framework from version 0.1 to 1.0. His research and service have received awards including the best paper honorable mention at CVPR’15 for fully convolutional networks and the Mark Everingham award at ICCV’17, the open-source award at MM’14, and the test-of-time award at MM’24 for Caffe. He is new to Canada and is excited to learn more about all of its provinces and seasons!

Moderator: Prof. Jim Green, Department of Systems and Computer Engineering

RSVP today for the CUIDS Distinguished Speaker Series.

Please click for more event details and to purchase a ticket.

State of the Climate 2024 and the Role of Nature-Based Climate Solutions

Join Prof. Damon Matthews as he provides an update on the state of global climate change, including anticipated future trajectories and the consequent implications for Canada and the world. He will speak about the potential role of nature-based climate solutions: efforts to leverage natural systems to store and sequester carbon while also contributing to other environmental and social goals. In this context, he will present some recent research showing that investing in natural systems has climate value, but that this value is of a different character than fossil fuel emissions reductions, raising questions about the appropriate use of carbon offsets as a contribution to climate mitigation goals.

is a Professor in the Department of Geography, Planning and Environment at Concordia University. Damon holds a PhD in climate science from the University of Victoria, and is a member of the College of New Scholars, Artists and Scientists of the Royal Society of Canada.ÌýHe has published more than 130 research papers on topics ranging from quantifying the remaining carbon budget to assessing equitable approaches to allocate emission allowances to individual countries.ÌýHe is internationally recognized for his work in policy-relevant climate science, as well as for initiatives such as theÌý that use digital visualization and web-based technologies to motivate and accelerate climate action.ÌýDamon is the Scientific Director ofÌý, and directs the NSERC CREATE inÌýLeadership in Environmental and Digital Innovation for Sustainability (LEADS)Ìýprogram, which aims to train graduate student researchers at the intersection of sustainability science and digital innovation.

Moderator: Tracey Lauriault – Associate Professor in the School of Journalism and Communication

RSVP today for the CUIDS Distinguished Speaker Series.

Data Day includes presentations by ÐÓ°ÉÔ­´´ 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’t 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 onÌýThe 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.

Fortinet is excited to extend an exclusive invitation to students and alum of ÐÓ°ÉÔ­´´ University to attend our secondÌýWomen in CyberÌýevent happening in-person at our Ottawa office onÌýTuesday, November 28^thÌýfromÌý4:30 PM to 7:30 PM!Ìý

This exclusive event has been thoughtfully crafted for a diverse audience of approximately 60 women who are passionate about a career in cybersecurity! Whether you’re currently pursuing your program, are in your final year of study, a recent graduate, or a seasoned professional, you’re welcome to join us. This unique opportunity allows you to step into the Fortinet world, where you’ll visit our office, engage with our hiring managers, gain valuable insights into our recruitment process, and tap into the expertise of our technical teams as they work on cutting-edge products. Moreover, this event could very well be your launching pad to a career at one of the world’s fastest-growing cybersecurity companies.

You will also have the chance to gain a comprehensive understanding of Fortinet’s dedication to diversity, equity, and inclusion in the workplace, and experience what it’s like to work at our company first-hand. Our leaders will share their experiences and offer guidance on how to break into and succeed in the technology field. You’ll also have the chance to network with other like-minded individuals and make valuable connections for your future career. Whether you are just starting your journey in the tech industry or are well on your way, this event is a valuable opportunity to grow women both professionally and personally.

Ìý

To secure your spot, please RSVP by November 10th.

Ìý

Date: Tuesday, November 28, 2023

Time: 4:30PM to 7:30PM

Location: 16 Fitzgerald Rd, Nepean, ON K2H 8R6

R.S.V.P. Link:Ìý

Food and refreshments will be served

Ìý

We look forward to welcoming you and providing you with a memorable and enriching experience!

Ìý

Sincerely,

Monica Sidhu

Talent Acquisition Operations Manager

We are excited to announce upcoming Graduate Career Transitions events for the Fall. The program is designed to support graduate students in making the leap from school to the workplace. Whether you are headed to academia, industry, or other exciting alt-academic routes, we are here to help you out with info sessions, workshops, and one-on-one sessions. Please check out the sessions below!

Drop-in sessions will also allow you to ask questions and get support (Stay tuned for these). We also have a Brightspace page with many recorded past sessions and resources for you to check out!Ìý Please reach out anytime (MeganGraham@cunet.carleton.ca). We look forward to hearing from you!

So You Want to be a Professor – Part 3: The Teaching Dossier

Ready to start building your teaching dossier? Need a few tips and templates to help you get started? Join us for an information session and workshop to help kick-start your dossier.

Registration is required.