Gone are the days when agreements are made in good faith and a handshake. Whether you want to protect yourself, your company, your research project, or your intellectual property, you’ll need to know all the basics about Contracts.

For Faculty/Students:
This workshop will focus on Research Agreements including: Industry Sponsored Research, Data Sharing, Confidentiality, Material Transfer, Service Agreements and more.

THE DEPARTMENT OF COMPUTER SCIENCE GRADUATE SEMINAR 2022
Guest Speaker Series Presented By:

Dr. Jarrod McClean
"Understanding the role of data and learning through a quantum lens"

Friday, November 4th, 2022
1 pm

Abstract:
As quantum technology continues to rapidly advance, it is interesting to stop and ask what it has already taught us about how we do science. If we believe both that quantum computers may be able to do some computations exponentially faster than their classical counterparts and that we live in a quantum world, then our ability to learn from observational data as scientists may fundamentally change what we can do. Here, I will first give a broad introduction to quantum computing and quantum science in general. I will then review some recent results in quantum machine learning that allow us to put ideas about learning from the physical world on a rigorous footing. We then show that quantum computers, and more specifically quantum memory, offer us an opportunity to learn from a quantum world with exponentially less data than traditional experiments. This exponential advantage holds in predicting properties of physical systems, performing quantum principal component analysis on noisy states, and learning approximate models of physical dynamics. Conducting experiments with up to 40 superconducting qubits and 1300 quantum gates, we demonstrate that a substantial quantum advantage can be realized using today's relatively noisy quantum processors. I will then give an outlook on this technology and challenges that we face in expanding the reach of quantum technology in learning.


Dr. Jarrod McClean is a staff research scientist in Google's Quantum Artificial Intelligence Lab working on the development of practical quantum algorithms for quantum simulation and other problems. He received his PhD in Chemical Physics from Harvard University specializing in quantum chemistry and quantum computation supported by the US Department of Energy as a Computational Science Graduate Fellow. His research interests broadly include quantum computation, machine learning, artificial intelligence, and the limits of computation. Jarrod is often known for the invention of a popular algorithm in quantum computing, the variational quantum eigensolver. Recently, he was part of the team that achieved beyond classical computation on a quantum computer, and personally showed the first formal separation between classical algorithms that can learn from data and traditional computation.


To register for this virtual event, please email grad.compsci@lakeheadu.ca and a Zoom link will be shared.

Everyone is welcome.

THE DEPARTMENT OF COMPUTER SCIENCE GRADUATE SEMINAR 2022
Guest Speaker Series Presented By:

Dr. Nikos Papanikolopoulos
"Computer Vision and Machine Learning for the Real World"

Friday, November 4th, 2022
11:30 am

Abstract:
Recent advances in computational hardware, computer vision, and machine learning have created some unique opportunities for real-world data-centric systems. The talk will focus on some projects that use innovative imaging along with active learning and reinforcement learning to perform tasks in mental health assessment, intelligent transportation systems, human-robot interfaces, sports training, and precision agriculture. For example, we will describe a framework that performs the precise detection and characterization of plant deficiencies. This step is often followed by the proper deployment of fertilizers. In particular, the proposed methodology utilizes drone collected images to detect nitrogen (N) deficiencies in maize fields and assess their severity using low-cost RGB sensors. Our proposed methodology is twofold. A low complexity recommendation scheme identifies candidate plants exhibiting (N) deficiency and, with minimal interaction, assists the annotator in the creation of a training dataset which is then used to train an object detection deep neural network. Results on data from experimental fields support the merits of the proposed methodology with the mean average precision for the detection of N-deficient leaves reaching 82.3%.

This is joint work with a large number of colleagues including T. Morris, V. Morellas, L. Guzman, P. Stanitsas, H. Nelson, C. Conelea, K. Cullen, D. Zermas, C. Smith, and T. Bacharis.

Prof. Nikos Papanikolopoulos (IEEE Fellow) received his Diploma of Engineering in Electrical and Computer Engineering, from the National Technical University of Athens in 1987. He received his M.S. in 1988 and Ph.D. in 1992 in Electrical and Computer Engineering from Carnegie Mellon University. His research interests include computer vision, robotics, sensors for transportation and precision agriculture applications, and control systems. He is the Director of the Minnesota Robotics Institute and the McKnight Presidential Endowed Professor of CS at the University of Minnesota. He has received numerous awards including the 2022 UMN Award for Outstanding Contributions to Graduate and Professional Education and the 2016 IEEE RAS George Saridis Leadership Award in Robotics and Automation.

To register for this virtual event, please email grad.compsci@lakeheadu.ca and a Zoom link will be shared.

Everyone is welcome.

EPID@Work is excited to announce that registration for our upcoming talks on November 24th, 12:00pm to 1:15pm is now OPEN! Our sessions will include a presentation about mental health and working from home, and implementing a mental health framework for Brazilian nurses!

Register in advance for this meeting:
https://lakeheadu.zoom.us/meeting/register/tJYpdO2srDgpHdMBbwPZq7dk0_7qt...

After registering, you will receive a confirmation email containing information about joining the meeting. We look forward to seeing you there!

Frustrated by the prevalence of plagiarism in your classroom? In this session we'll present 10 easy ways you can help your students develop a clear understanding of academic writing expectations and how to avoid plagiarism.

Registration Link: https://lakeheadu.zoom.us/meeting/register/tJcucuqqrD8oE9yj1ZfjqBnyV1XOm...

In this workshop, we will examine strategies and questions that focus on fostering academic integrity in the classroom that faculty can use as they design and teach their course(s). This workshop will also focus on authentic assessments and explore their use as a means to reduce breaches of academic integrity in the classroom.

Registration Link: https://lakeheadu.zoom.us/meeting/register/tJArdu6vrTMiH9HY95_7K3UWlrn7G...

Lakehead University, Department of Visual Arts Lecture Series 2022.
Dr. Nadia Kurd artist/curator talk
Friday Nov, 18th at 2:30 p.m. on zoom
"Curating a Sense of Place: Reflections on Art and Community"

Nadia Kurd is a curator and art historian with a PhD from McGill University. She has special interests in arts advocacy, contemporary Islamic art and architecture as well as Indigenous visual culture from North America. In addition to working at diverse arts organizations such as the Ontario Association of Art Galleries and the Prison Arts Foundation, Nadia was the Curator of the Thunder Bay Art Gallery from 2010-18, where her focus was on community engagement and emerging artists in Northwestern Ontario. In recognition of her work, she was awarded the Northwestern Ontario Visionary Award in 2014 and CCMW’s Women Who Inspire Award in 2016. She was the recipient of the 2017 Hamad bin Khalifa Symposium on Islamic Art Fellowship and the 2018 Arts-Writer in Residence at the Banff International Curatorial Institute. Doctor Kurd is currently the Curator of the University of Alberta Museums Art Collection.


Talk is scheduled on Friday November 18th at 2:30 p.m. on Zoom.

https://lakeheadu.zoom.us/j/93885972160?pwd=WHVWWDhxcG1zV0xYbmxTNm1rUDBK...
Meeting ID: 938 8597 2160
Passcode: 427861

3D Printing Orientation Session

Event Date: Monday, November 7, 2022 10:30 am

Event Location: The Chancellor Paterson Library - Room LI1005

Join us in the Makerspace@Paterson to learn the ins and outs of 3D printing. This 30-minute
session will include a general introduction to 3D printing, basic features and operation of the
printers and safety guidelines. See a 3D printer in action!
Attendance at a 3D Printing Orientation is required for anyone wanting to use the printers.

Register here (https://libcal.lakeheadu.ca/event/3699136)

Additional sessions are scheduled for Thursday, November 10 at 2:00 pm. Registration is through the Library’s Events and Workshops calendar.

Rock Your Mocs on November 10, 2022 from 11am-1pm in The Faculty of Education's Bora Laskin Building. Everyone is welcome!

Lakehead University, Department of Geology

Rock-tion Event – Rock Sample Silent Auction

Presented by: Society of Economic Geologists, Lakehead University Student Chapter

We welcome you to participate in our upcoming silent auction to bid on a selection of unique and world-class rock specimens. Come out and support fundraising efforts for our student-run organization!

Location: Geology Lounge, 2nd Floor Centennial Building

Two Weeks:
Mon, Oct 31 – Fri, Nov, 2022

For More Information Contact:
Connor – ccagliot@lakeheadu.ca