Algorithmic trading and short-term forecast for financial time series with machine learning models; state of the art and perspectives

D Joiner, A Vezeau, A Wong, G Hains… - … on Recent Advances …, 2022 - ieeexplore.ieee.org
Stock price prediction with machine learning is an oft-studied area where numerous
unsolved problems still abound owing to the high complexity and volatility that technical …

A survey of natural language processing implementation for data query systems

A Wong, D Joiner, C Chiu, M Elsayed… - … on Recent Advances …, 2021 - ieeexplore.ieee.org
With increasing complexity and volume of collected data continuing to rise, it is becoming
ever more important to develop systems with high interactability. Businesses with an interest …

Persona-based assessment of software engineering student research projects: An experience report

C Arora, L Tubino, A Cain, K Lee… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Students enrolled in software engineering degrees are generally required to undertake a
research project in their final year through which they demonstrate the ability to conduct …

Data Extraction, Transformation, and Loading Process Automation for Algorithmic Trading Machine Learning Modelling and Performance Optimization

N Ebadifard, A Parihar, Y Khmelevsky, G Hains… - arXiv preprint arXiv …, 2023 - arxiv.org
A data warehouse efficiently prepares data for effective and fast data analysis and modelling
using machine learning algorithms. This paper discusses existing solutions for the Data …

DW vs OLTP Performance Optimization in the Cloud on PostgreSQL (A Case Study)

D Joiner, M Clement, ST Chan… - … on Recent Advances …, 2022 - ieeexplore.ieee.org
This case study shows the performance issues and solutions for a data warehouse (DW)
performing well to serve industrial partners in improving customer data retrieval …

Pan-institutional applied research within undergraduate and post-degree diploma teaching programs

Y Khmelevsky, A Wong, N Ebadifard, F Zhang… - Proceedings of the 25th …, 2023 - dl.acm.org
Many undergraduate students' applied research projects (projects) are conducted within the
computer and computing science departments of colleges and universities [24, 36]. Every …

From natural language to graph queries

GJDR Hains, Y Khmelevsky… - 2019 IEEE Canadian …, 2019 - ieeexplore.ieee.org
Automatic code generation can drastically improve software (SW) engineering and SW
development projects. In the last decade we have been conducting research which has …

Code generation and parallel code execution from business UML models: A case study for an algorithmic trading system

G Hains, C Li, D Atkinson, J Redly… - 2015 Science and …, 2015 - ieeexplore.ieee.org
In this paper we discuss several capstone student projects conducted by the students at
University of British Columbia, Okanagan campus (UBCO) and at Okanagan College in …

Performance analysis of the parallel code execution for an algorithmic trading system, generated from UML models by end users

G Hains, C Li, N Wilkinson, J Redly… - 2015 National …, 2015 - ieeexplore.ieee.org
In this paper, we describe practical results of an algorithmic trading prototype and
performance optimization related experiments for end-user code generation from …

A new paradigm for teaching mobile application development

Y Khmelevsky, V Voytenko - Proceedings of the 21st Western Canadian …, 2016 - dl.acm.org
We present a new paradigm for teaching mobile application development, focusing on
software development and software engineering capstone projects with industrial sponsors …