Greenhouse vegetable plant sale! Tomato, pepper, basil, parsley, lettuce, eggplant.
May 26, 2026, from 11 am to 1 pm, in the Agora.
Proceeds go to support the greenhouse.
Sorry, cash only!
Please join us for the following teaching presentation by a candidate for the faculty position in the Department of Computer Science.
Presenter:Dr. Yasin Mamatjan Maimaitijiang
Teaching Talk: Balanced Binary Search Trees
For the Zoom link, please contact grad.compsci@lakeheadu.ca.
Please join us for the following research presentation by a candidate for the faculty position in the Department of Computer Science.
Presenter: Dr. Yasin Mamatjan Maimaitijiang
Research Talk: Designing Reliable Software Systems for Digital Health: From Heterogeneous Data to Real-World Impact
Abstract: The integration of artificial intelligence (AI) with advanced software engineering is transforming healthcare through the creation of innovative tools for disease diagnosis, patient management, treatment planning, and personalized health coaching. However, many current approaches remain difficult to translate into clinical practice because they lack transparency, reproducibility, clinical validation, and effective human oversight.
This research talk presents a software systems perspective on digital medicine that focuses on the design of scalable, interpretable, and human-centred platforms for clinical decision support for patient monitoring and cancer diagnosis. The work bridges data-intensive computing, multimodal integration, risk prediction, and workflow-aware system design. Through examples in patient monitoring, cancer diagnostics, and risk interpretation, the talk highlights how practical software systems can transform heterogeneous health data into effective tools for clinicians and patients.
Future healthcare systems are increasingly rely on reliable software systems that can further integrate medical imaging, genomic, and patient-generated data into meaningful decision support. Thus, my main research has been transiting from isolated prediction models toward integrative, explainable, intelligent deployable systems that can be used in practical settings, while this also could provide broader graduate research opportunities, hospital and industry collaborations, and applied computer science innovations.
For the Zoom link, please contact grad.compsci@lakeheadu.ca
Please join us for the following teaching presentation by a candidate for the faculty position in the Department of Computer Science.
Presenter: Dr. Manfred Lau
Teaching Talk: Balanced Binary Search Trees
For the Zoom link, please contact grad.compsci@lakeheadu.ca.
Please join us for the following research presentation by a candidate for the faculty position in the Department of Computer Science.
Presenter: Dr. Manfred Lau
Research Talk: Natural User Interfaces for 3D Modeling, Design, and Fabrication
Abstract: Despite years of research in developing tools for modeling and designing 3D shapes, it is still difficult for novice users to create their own virtual 3D shapes. This is even more so from the fabrication point of view. While there has been an increasing trend of rapid prototyping technologies such as 3D printers and laser cutters, easy-to-use interfaces for creating 3D shapes to be fabricated with these technologies are lacking. Modeling 3D shapes is difficult because the human user input is typically low dimensional while the output (i.e. a 3D shape) can have much higher dimensions. Furthermore, for fabrication purposes, the 3D objects need to fit well with other objects that they may directly interact with, humans who use them, and the real-world physical environment. I will present my work in building natural user interfaces to address these challenges.
In addition, I will discuss my recent work in the human perception of sketches and 3D shapes. I will describe the novel concept of Tactile Mesh Saliency, and the problems of sketch beautification and 3D shape beautification. Finally, I will describe potential directions for future research.
For the Zoom link, please contact grad.compsci@lakeheadu.ca
Ingenuity Ascend Accelerator Program-May 2026 Start
Ingenuity is Lakehead University's business incubator. We offer space and resources for students who are looking to start a business or develop their idea. Along with providing space for budding entrepreneurs Ingenuity also offers a learning environment to help develop knowledge and skills that help support business development and growth.
About the Ingenuity Accelerator program: Ingenuity Ascend Accelerator program is a great opportunity for entrepreneurial minded Lakehead University students and alumni looking to transition an idea into a business opportunity or accelerate the growth and development of their early stage start-up. The Ingenuity Accelerator program will accepts business ideas at all stages and delivers up to $5000 per business idea for costs associated with business development.
Important Dates
Application close: April 19,2026
Interviews to be held during the Week of April 20 and April 27
Program starts: May 11, 2026; 10 week duration
Program ends: July 9, 2026
Application Link: https://forms.gle/vbeDY1sbErboaHjD6
What to expect (what participants should be ready for)
Ingenuity Ascend participants can expect the following daily activities:
Eligibility Requirements
Applicants must meet the following criteria:
FAQ’s
Q. Does it cost anything to join the program?
A. There is no cost for this program. This program is completely free for all current students and recent graduates from Lakehead University.
Q. Do I need to have my business running to join?
A. No, we encourage applications from all stages of business development including the idea stage.
Q. What is the time commitment like?
A. Ingenuity requires one milestone meeting per week (up to an hour) as well as there will be workshops throughout the 10 week program. Ingenuity will work with the participants to schedule workshops and meetings at mutually agreed upon times. It is understood the participants may be in classes or working and Ingenuity will work with them to find the best suited times.
Q. Is Ingenuity only for business students?
A. No, we serve students from all disciplines.
Q. Does Ingenuity take any equity or royalties of my company if I use their services?
A. Ingenuity does not take any equity or royalties of any kind.
Q. Who can I contact for questions?
A. For all general inquiries, please email info.ingenuity@lakeheadu.ca
Funding restrictions
The Ingenuity Ascend program will cover some costs associated with business development and will disperse funds based on a milestone delivery plan. Some costs that are not eligible for this program include rent, labour and wages, and large inventory purchase. All spending will need to be approved through the program coordinator prior to purchase to ensure it is eligible.
Please join us for the following teaching presentation by a candidate for the faculty position in the Department of Computer Science.
Presenter: Dr. Farhan Samir
Teaching Talk: Balanced Binary Search Trees
For the Zoom link, please contact grad.compsci@lakeheadu.ca.
Please join us for the following research presentation by a candidate for the faculty position in the Department of Computer Science.
Presenter: Dr. Farhan Samir
Research Talk: Haystack epistemologies and their limits
Abstract: Modern speech and text-based language models are trained on ever larger volumes of consolidated data: tens of millions of news articles, hundreds of thousands of hours of recorded speech, and millions of volunteer contributions to crowd-sourced encyclopedias. Critical archival scholars have argued that these datasets are typically amassed by prioritizing scale over careful appraisal of their contents, reflecting a haystack-like approach to data collection. As these data haystacks grow larger, their apparent comprehensiveness makes questions about what they might lack increasingly difficult to answer. The haystack approach tends to obscure its own circumstances of production, resulting in unexpected failures when AI models built atop these haystacks are applied outside of those circumstances. In this talk I present three empirical methods, applied to Wikipedia, news corpora, and major English speech repositories, that reveal how even massive data haystacks remain stubbornly contingent on geographic, relational, and linguistic circumstances, and that despite their size contain vast gaps in coverage beyond these contexts. Taken together, my work reveals that these gaps cannot be resolved by collecting yet larger haystacks. Instead, they demand targeted interventions in making our knowledge infrastructures more pluralistic. I will conclude with a discussion of some of these interventions, from developing new benchmarks to archives to novel interfaces for information navigation.
Bio: Farhan Samir is an NSERC Postdoctoral Fellow in the Computer Science Department at the University of Toronto, advised by Professor Syed Ishtiaque Ahmed. He completed his PhD at the University of British Columbia, where his research combined computational methods with questions about knowledge representation and information systems.
For the Zoom link, please contact grad.compsci@lakeheadu.ca
Please join us for the following research presentation by a candidate for the faculty position in the Department of Computer Science.
Presenter: Dr. Aaron Williams
Research Talk: Gray or Grey? Reinterpreting Gray Codes with New Programs, Proofs, and Puzzles
For the Zoom link, please contact grad.compsci@lakeheadu.ca
Please join us for the following teaching presentation by a candidate for the faculty position in the Department of Computer Science.
Presenter: Dr. Aaron Williams
Teaching Talk: Balanced Binary Search Trees
For the Zoom link, please contact grad.compsci@lakeheadu.ca.
