Presented by: Mahdi Babajan Rahaghi

Date: Friday, August 1, 2025
Time: 5:00 pm
Place: Zoom - see below.

Abstract:

This presentation discusses the design and hardware implementation of a high-throughput beamforming system for multi-angle plane-wave ultrasound imaging in the Fourier domain. Using the Temme–Mueller (TM) migration algorithm and high-level synthesis (HLS) targeting a Xilinx Versal adaptive SoC, the system achieves over 500 frames per second using a fully pipelined, modular architecture. Unlike conventional methods that rely on off-chip memory and precomputed lookup tables, this design uses on-chip resources and dynamically computes phase and remapping parameters in real-time. The solution integrates FFT-based modules, phase correction, spectral remapping, and angle compounding to reconstruct ultrasound images efficiently. This work demonstrates that HLS-based design can meet the demanding performance requirements of modern ultrasound systems without resorting to low-level RTL development.

Join Zoom Meeting

https://uvic.zoom.us/j/86333410514?pwd=E8QU8IuhR37l9PhDjuX33mMdnxuXBk.1

Meeting ID: 863 3341 0514

Password: 678773

Note: Please log in to Zoom via SSO and your UVic Netlink ID

Presented by: Mahdi Babajan Rahaghi

Date: Friday, August 1, 2025
Time: 5:00 pm
Place: Zoom - see below.

Abstract:

This presentation discusses the design and hardware implementation of a high-throughput beamforming system for multi-angle plane-wave ultrasound imaging in the Fourier domain. Using the Temme–Mueller (TM) migration algorithm and high-level synthesis (HLS) targeting a Xilinx Versal adaptive SoC, the system achieves over 500 frames per second using a fully pipelined, modular architecture. Unlike conventional methods that rely on off-chip memory and precomputed lookup tables, this design uses on-chip resources and dynamically computes phase and remapping parameters in real-time. The solution integrates FFT-based modules, phase correction, spectral remapping, and angle compounding to reconstruct ultrasound images efficiently. This work demonstrates that HLS-based design can meet the demanding performance requirements of modern ultrasound systems without resorting to low-level RTL development.

Join Zoom Meeting

https://uvic.zoom.us/j/86333410514?pwd=E8QU8IuhR37l9PhDjuX33mMdnxuXBk.1

Presented by: Muhammad Qasim Idrees

Date: Tuesday, August 5, 2025
Time: 11:00 am
Place: Zoom - see below.

Abstract:

Bankruptcy is a serious issue in the financial sector. ML-based approaches have been widely used to predict bankruptcy, but selecting the right classifier and identifying the key features influencing Model results is essential for achieving good performance. This is especially important in the corporate sector where decision-makers may have a limited understanding of these models and their function. There is also a need for transparency and trust in their outcomes. This thesis utilizes twelve classifiers: CatBoost, RF, SVM, KNN, NB, LR, BDT, Stacking Ensemble, AdaBoost with RF, NN, FT-Transformer, and TabNet. These classifiers are evaluated in various settings using the Polish companies dataset to predict bankruptcy. The results obtained show that CatBoost is the best performing classifier. Further, SP-LIME is used to identify features that impact model decisions. SP-LIME ranks features based on their importance. A comparative analysis of SP-LIME and PCA indicates that SP-LIME identifies more influential features. 

Join Zoom Meeting

https://uvic.zoom.us/j/89288524294?pwd=1MvQ3xNLjRNGuM0b32mqUeDTWZ49OE.1

Meeting ID: 892 8852 4294

Password: 241497

Note: Please log in to Zoom via SSO and your UVic Netlink ID

Presented by: Muhammad Awais

Date: Tuesday, August 5, 2025
Time: 1:00 pm
Place: Zoom - see below.

Abstract:

The search for efficient energy materials remains critical to addressing climate change and the rising global energy demand. Among emerging photovoltaic technologies, perovskite solar cells (PSCs) have gained considerable attention due to their high efficiency and low fabrication costs, positioning them as a strong candidate to complement or surpass conventional silicon solar cells. This research work focuses on overcoming key challenges in developing stable and efficient PSCs under ambient-air conditions, a necessary step toward scalable and industrially viable production. It presents a comprehensive approach that combines robust ambient fabrication protocols, surface passivation of the perovskite film, and the fabrication of all-scalable PSCs, enabled by modifications to the electron transport layer, i.e., SnO2. By addressing both extrinsic (e.g., moisture, oxygen) and intrinsic (e.g., grain boundary defects, interface instabilities) factors, the work demonstrates significant advancements, including achieving 24.5% efficiency in fully ambient-fabricated devices with excellent operational stability. This work bridges the gap between lab-scale research and large-scale manufacturing of PSCs.

Join Zoom Meeting

https://uvic.zoom.us/j/6228010174?pwd=iHHwnXGoOnnbXIYbBhka3wdoBiNgDb.1&omn=89440703620

Meeting ID: 622 801 0174

Password: 970732

Note: Please log in to Zoom via SSO and your UVic Netlink ID

Presented by: Ben Kellman

Date: Monday, August 25, 2025
Time: 10:00 am
Place: Zoom - see below.

Summary:

This project presents the design, implementation, and testing of the Electrical Power System (EPS) for MARMOTSat, a 3U CubeSat developed by the University of Victoria for deployment in a Sun-Synchronous Orbit (SSO) under the Canadian Space Agency's CUBICS program. A semi-centralized power architecture was developed, utilizing deployable solar arrays, lithium titanate (LTO) batteries, and maximum power point tracking (MPPT) to maximize energy generation. LTO batteries were chosen for their ability to charge at sub-zero temperatures, reducing thermal control complexity. The EPS design also incorporates basic subsystem level protection against radiation induced single event effects (SEE).

https://uvic.zoom.us/j/86417138456?pwd=KPxFApNXkLoNOYMbFFT1gMQPBYRSAl.1

Meeting ID: 864 1713 8456

Password: 899072