Lakehead University International and the Faculty of Business Administration invite you to a joint webinar in collaboration with Escuela Bancaria y Comercial (EBC), Mexico.

Dr. Claudio Pousa, Associate Professor, Faculty of Business Administration, Lakehead University, and Professor Dinora Estrada, Escuela Bancaria y Comercial (EBC) will present their research on Business Coaching on Thursday, May 20th at 2:00 PM.

Please see below for the link to register:
https://lakeheadu.zoom.us/webinar/register/WN_25fAf1ZmRsCEXuvA3anIZg

If you have any questions or issues accessing the link, please reach out to us at international.relations@lakeheadu.ca.

The Faculty of Business Administration's External Guest Speaker Series is hosting Dr. Barbara Poggio, Professor, Department of Sociology and Social Research, University of Trento, Italy on May 21st at 1:00 PM.

Dr. Poggio will discuss her research on "Working for gender equality in neoliberal academia".

Register by May 19th using the following link:
https://lakeheadu.zoom.us/meeting/register/tJwqd-uhrjItHNYzHmWoD5qfWKfVd...

For more information, please contact Dr. Farshid Shams at farshid.shams@lakeheadu.ca.

Jake Cousineau
Title: "Macrobotanical and Zooarchaeological Examination of the Macgillivray Site (DbJm-3): A Woodland Period Habitation in Northwestern Ontario"

Join Zoom Meeting
https://lakeheadu.zoom.us/j/97676549416?pwd=UFJtbkU1Vmp0S2xkVnc5dmtRWkl0...

Meeting ID: 976 7654 9416
Passcode: 838516
+12042727920,,95997254508# Canada
+14388097799,,95997254508# CanadaFind your local number: https://lakeheadu.zoom.us/u/aBKcfzjML

Please join the Computer Science Department for the upcoming thesis defense:

Presenter: Lisa Ewen

Thesis title: Medical Workflow Design and Planning Using Node-RED Data Fusion

Abstract: The space of clinical planning requires a complex arrangement of information, often not capable of being captured in a singular dataset. As a result, data fusion techniques can be used to combine multiple data sources as a method of enriching data to mimic and compliment the nature of clinical planning. These techniques are capable of aiding healthcare providers to produce higher quality clinical plans and better progression monitoring techniques. Clinical planning and monitoring are important facets of healthcare which are essential to improving the prognosis and quality of life of patients with chronic and debilitating conditions such as COPD. To exemplify this concept, we utilize a Node-Red-based clinical planning and monitoring too that combines data fusion techniques using the JDL Model for data fusion and a domain specific language which features a self-organizing abstract syntax tree.

Committee Members:
Dr. Sabah Mohammed (supervisor, committee chair), Dr. Arnold Kim (co-supervisor), Dr. Jinan Fiaidhi, Dr. Carlos Zerpa (Kinesiology)

Please contact grad.compsci@lakeheadu.ca for the Zoom link.
Everyone is welcome.

Over the Spring/Summer term, Lakehead International Student Services will be hosting weekly Study Abroad Information Sessions every Wednesday from 12 - 1 pm.

Lakehead University has several international partner universities around the world where our students can study for one or two semesters and earn credits towards their LU degree. We also offer international short-term Summer program offerings for students who may not be able to spend a full term abroad.

Interested? Attend one of our sessions to learn about the amazing international study abroad opportunities available to you!

Register now through the link below:
https://lakeheadu.zoom.us/meeting/register/tJAldOirqDkuGNWCsRO3Jsd363uP8...

Title: “Abundance, Transportation, and Preservation of Mysis diluviana eDNA in Freshwater Ecosystems”

Supervisory Committee:
Dr. Michael Rennie (supervisor) 
Dr. Ashley Thomson 
Dr. Michael Paterson
Dr. Margaret Docker (external examiner)

Please contact biology@lakeheadu.ca for the meeting ID and password.
All are welcome to attend.

Title: “Recovering the Proteome of Archived Biomedical Specimens”

Supervisory Committee:
Dr. Carney Matheson (supervisor)
Dr. Christine Gottardo
Dr. Michael Rennie
Dr. Michael Campbell (external examiner)

All are welcome to attend. Please contact biology@lakeheadu.ca for meeting ID and password.

Please join the Computer Science Department for the upcoming thesis defense:

Presenter: Xiang Wang

Thesis title: Deep Learning Based Image Super Resolution

Abstract: Image super resolution is one of the most significant computer vision researches aiming to reconstruct high resolution images with realistic details from low resolution images. In the past years, a number of traditional methods intended to produce high resolution images. Recently, Deep Convolutional Neural Networks (DCNNs) have developed rapidly and achieved impressive progress in the computer vision area. Benefiting from DCNNs, the performance of image super resolution has improved compared with traditional methods. However, there still exists a large gap between the results of current methods and the real-world high resolution quality.

In this thesis, we leverage the techniques of DCNNs to develop image super resolution models for generating satisfactory high resolution images. There are several proposed methods in this thesis to satisfy different super resolution scenarios. Our proposed methods are based on generative adversarial networks, leading to powerful generative ability and effective discriminative learning. To breakthrough current bottlenecks, we design novel architectures for generator and discriminator, and involve new optimization strategies to improve the learning stability of the models. In order to improve the generalization ability of proposed methods, we conduct two mainstream super resolution tasks, namely face image hallucination and natural image super resolution. All the proposed components of our methods result in promising super resolution performance for these tasks.

Not only handling the supervised super resolution task, we also investigate the more challenging problem, namely the unsupervised image super resolution task where the paired high resolution image and low resolution image data are unavailable. To evaluate the performance of our methods in different scenarios, we conduct extensive experiments on several benchmark datasets to study each method separately. Compared to state-of-the-art methods, our methods are able to achieve superior performance both quantitatively and qualitatively.

Committee Members:
Dr. Shan Du (supervisor, committee chair), Dr. Yimin Yang (co-supervisor), Dr. Jinan Fiaidhi, Dr. Wilson Wang (Mechanical Engineering)

Please contact grad.compsci@lakeheadu.ca for the Zoom link.
Everyone is welcome.

Title: “Comparison of Modern Pandemics from a Biological and Social Perspective”

Supervisor: Dr. Sree Kurissery

Live via Zoom. Please contact biology@lakeheadu.ca for meeting ID and password.

All welcome! Exhibition goes live at the Thunder Bay Art Gallery on Wednesday 14 April 2021 and can be accessed here: https://theag.ca