The IEEE Thompson Okanagan Computer Science Education Symposium (IEEE TOK-CSES 2026)

Full Paper Submission Deadline Extended to 16 September 2026.

The IEEE Thompson Okanagan Computer Science Education Symposium (IEEE TOK-CSES 2026) is a regional symposium dedicated to advancing innovation in computer science and technology education (https://conferences.ieee.org/conferences_events/conferences/conferencedetails/72112).

Hosted by the IEEE Thompson Okanagan Section, the symposium brings together educators, researchers, and industry practitioners to exchange ideas on teaching methodologies, educational tools, and emerging trends in computing education. It provides a platform to share research-driven insights and practical experiences from classrooms, labs, and industry training environments.

IEEE TOK CSES bridges the gap between theory and practice by encouraging contributions that explore new pedagogical approaches, evaluate instructional technologies, and report real-world teaching experiences. The symposium fosters a collaborative environment where participants can learn from both successful innovations and instructive challenges.

Through peer-reviewed presentations, interactive sessions, and community engagement, IEEE TOK CSES 2026 aims to strengthen the computing education ecosystem in the Thompson Okanagan region and beyond, supporting continuous improvement in the teaching and learning of computer science and related disciplines.

Venue

Event Dates: October 22 & 23, 2026 (8:45 am – 6:15 pm, for both days)
Location: CFL Atrium (E100), Okanagan College, 1000 KLO Rd., Kelowna, BC V1Y 4X8

Located in Kelowna, British Columbia, Okanagan College offers a modern, accessible setting for technical exchange and collaboration. The venue offers an engaging in-person experience with research presentations, exhibits, and networking opportunities.

Important Dates

Full Paper Submission Deadline: ~~September 7, 2026 (~~Extended: 14 16 September 2026 — Final Submission Deadline)
Notification of Acceptance: September 28, 2026
Final (Camera-Ready) Submission: October 12, 2026
Registration Deadline: October 12, 2026
Symposium Date: October 23, 2026

All submissions will undergo a double-anonymous peer review process, with multiple experts reviewing each paper to ensure quality and rigour.

Symposium Committees: http://www.okanagan.ieee.ca/tok-workshops/tok-cses-2026/tok-cses-2026-committees/

TOK-CSES2026 Call for Contribution and Participation: http://www.okanagan.ieee.ca/tok-workshops/tok-cses-2026/tok-cses2026-call-for-contribution-and-participation/

Register

Early Bird Registration (ending on September 28th, 2026 )

Admission, including Tax & Fees: $300
Conference Admission, without the Thursday banquet, including Tax & Fees: $250
Conference Admission for the Student/Retiree, including Tax & Fees: $100
Additional paper submission: $50

Registration Site

Please visit the (TBA) site to complete your registration. Note that you must create an account (if you don’t already have one) at https://www.eventbrite.ca.

Travel Information

Air Travel

Kelowna is easily reached by air. Its international airport (YLW) serves numerous Canadian cities and major hubs in the United States.

Airport Connections

A taxi or public transit is the most convenient way to travel from the airport to Okanagan College or a nearby hotel. Kelowna International Airport’s website can help you figure out a route on public transit.

Accommodations

We understand that finding the right accommodation is essential for a comfortable and convenient conference experience. We have partnered with two excellent hotels to provide you with options that suit your preferences.

The Shore – Exclusive Discount Promo:

Enjoy a special discount when booking your stay at The Shore. Simply use the code (TBA) when making your reservation online to take advantage of this limited-time offer. This code is valid for bookings between June 1st and July 31st.

Siesta Suites – Reservation by Phone:

Siesta Suites is just a phone call away if you prefer a more personalized approach to booking your accommodation. Contact (250) 763-5013 to their dedicated reservation team at the provided phone number. Mention that you are attending the conference to secure a room at the best available rate.

You can also explore the BC Government Employees Business Travel Accommodation Listing, which is available only to BC government employees, MLAs, members of the Judiciary system, contractors, Alberta, Saskatchewan, or State of Washington government employees, and BC public sector entities that are on the CSA User’s List.

Things to Do In Kelowna

Looking for more ideas? You can start out by checking out what Okanagan College has to offer by visiting the Okanagan College site. For some ideas on what to do in the Kelowna area, be sure to check out the Tourism Kelowna and City of Kelowna websites.

Food and Drink on Okanagan College Campus

Okanagan College offers two cafeteria options: Marmalade Cat Café and Keluli Café. In addition, there is The Market, where you can find grab-and-go meal options and locally sourced products.

There are many places on campus. Search for anything in particular!

2026-09-12@11 AM: IEEE Thompson Okanagan Section Late Summer Social 2026

Join fellow IEEE Life Members (LMs), Affinity Groups/Chapters, Student members, and Thompson Okanagan Section leaders for our annual Summer Social! This event offers an excellent opportunity to connect, exchange ideas, and strengthen our IEEE community.

We look forward to seeing you and celebrating another year with the IEEE Thompson Okanagan community!

Who can attend?

Free for all IEEE Members and senior non-members
Family members and guests are welcome (registration fee: $15 for non-members and $5 for student non-members to cover food & drinks)

Photo/Media Policy: Photography, video, and audio recording may take place during the event. Participants may appear in photos or recordings taken for IEEE Thompson Okanagan Section activities. Individuals will not be identified in published materials without prior consent.

The Summer Social is organized by the Thompson Okanagan Section and supported by:

Thompson Okanagan Section Life Members
Thompson Okanagan Section Chapter, MTT17
Okanagan College Student Branch
Thompson Okanagan Section Affinity Group, CN
Thompson Okanagan Section Affinity Group, YP
Thompson Okanagan Section System Council Chapter, SYS45
University of British Columbia – Okanagan Student Branch

Date & Time: Saturday, September 12th, 2026, from 11:00 AM – 3:00 PM

Location: HS 101, Okanagan College, Kelowna, BC V1Y 4X8 (hybrid — see registration page for the URL)

Please register here to estimate how much food we need and to share dietary restrictions: https://events.vtools.ieee.org/m/575140

Draft Agenda:

11:00 AM – 11:30 AM | Registration and Welcome Refreshments (non-alcoholic)

11:30 – 11:45 AM | Opening Remarks

Welcome and event overview

11:45 – 12:15 PM | Introductions from IEEE Leaders

S. Carl Zanon, Life Members Affinity Group Chair and Vice President (10 minutes)
Vishal Balasubramanian, MTT-S Chapter Chair (5 minutes)
Kristina Cormier, Okanagan Student Branch President and IEEE Western Region Student Representative (5 minutes)
Youry Khmelevsky, Thompson Okanagan Section Chair (10 minutes)

12:15 – 3:00 PM | Networking Lunch & Social

Meet fellow IEEE members, affinity group participants, and student leaders
Learn more about IEEE membership benefits and opportunities
Share ideas for future section activities and collaborations

3:00 – 3:30 PM | Group Photo Session & Closing Remarks

Event Photos:

For questions, please contact Dr. Youry Khmelevsky at youry [at] ieee.org
Stay updated on future events by subscribing to our mailing list:
news-thompsonokanagan@listserv.ieee.org

Women Designing Ethical AI and Sustainable Systems

Artificial Intelligence is transforming how we live, work, and innovate. As AI technologies become increasingly integrated into society, it is essential to ensure their development and deployment are guided by ethical principles, transparency, and sustainability.

Join the IEEE Women in Engineering (WiE) Thompson Okanagan Affinity Group and IEEE Young Professionals Thompson Okanagan Section for an engaging online event, Responsible Innovation in the Age of AI: Exploring Ethics, Trust, and Sustainability in Artificial Intelligence.

Time & Date: June 24, 2026, 12:00 PM – 2:00 PM (Pacific Time)
Format: Online

Please Register Here: https://events.vtools.ieee.org/m/534266

The event will feature a keynote presentation by Dr. Viva Cundliffe, Founder and CSO of ReductionTech Inc., followed by an interactive workshop on Ethical Use of AI led by Dr. Quan Nguyen, Assistant Professor at Thompson Rivers University.

Participants will explore responsible AI practices, ethical considerations in AI adoption, sustainability challenges and opportunities, and the role of technology professionals in shaping trustworthy and inclusive AI systems.

This event is open to students, researchers, industry professionals, and community members interested in the future of responsible innovation.

Agenda:

12:00 PM – 12:10 PM
Welcome and Opening Remarks
IEEE Women in Engineering (WiE) Thompson Okanagan Affinity Group and IEEE Young Professionals Thompson Okanagan Section

12:10 PM – 12:50 PM
Keynote Presentation
Dr. Viva Cundliffe
Founder & CSO, ReductionTech Inc.

12:50 PM – 1:00 PM
Question and Answer Session

1:00 PM – 1:45 PM
Workshop: Ethical Use of AI
Dr. Quan Nguyen
Assistant Professor, Thompson Rivers University

1:45 PM – 1:55 PM
Interactive Discussion and Q&A

1:55 PM – 2:00 PM
Closing Remarks and Networking Opportunities

Bio:
Viva Cundliffe, Ma/PhD (ABD), is the founder and CSO of ReductionTech Inc., leading development of hydroxyl-based atmospheric remediation and carbon removal technologies. A Kamloops resident since 2006, she combines environmental engineering training with decades of applied research to design scalable oxidative systems—air curtain units, hydroxyl emitters and the CO2 Crusher—for urban and aerial deployment. Her work spans prototype validation, pilot planning, regulatory engagement and international advocacy to restore atmospheric oxidative capacity and accelerate greenhouse gas removal. Dr. Cundliffe has authored technical reports and preprints on hydroxyl inundation, led funded laboratory studies, and holds multiple provisional patents. She advises governments and industry on safe deployment, monitoring and governance, and champions transparent public engagement and rigorous field demonstrations. Known for pragmatic engineering, policy fluency and a focus on biosphere co‑benefits, she directs ReductionTech’s efforts to translate laboratory chemistry into measurable climate and air‑quality outcomes. She mentors young scientists and community leaders.

For further information, please contact:
Nisha Puthiyedth <nputhiyedth [at] tru.ca>
and subscribe to the news at NEWS-THOMPSONOKANAGAN@listserv.ieee.org

From Health Tracking to Health Creation: Building the V-Portal and the Health Creation Operating System

From Health Tracking to Health Creation: Building the V-Portal and
the Health Creation Operating System

Dr. Mark Percival, D.C., N.D.
CEO & Co-Founder, V-Metrics: Health Creation Lab
Health Creation Strategist and Systems Designer

The IEEE Thompson Okanagan Section and Okanagan College Student Branch are pleased to welcome Dr. Mark Percival, CEO & Co-Founder of V-Metrics: Health Creation Lab, for a presentation on the future of Health Creation technologies and systems design.

Dr. Percival will introduce the vision behind the Health Creation Operating System (HC OS), an emerging platform designed to help individuals better understand how daily behaviors shape energy, resilience, function, and overall well-being. The presentation will explore how coaching, behavior design, sensor-supported vitality metrics, AI-guided learning, and whole-person health assessment are being integrated into a practical system for Health Creation.

Date: Wednesday, June 24, 2026
Time: 10:00AM – 10:45AM
Location: HS106, Okanagan College, 1000 K.L.O. Rd., Kelowna, British Columbia V1Y 4X8 (hybrid mode).

Registration: https://events.vtools.ieee.org/m/564149

Abstract:
V-Metrics: Health Creation Lab is building a new kind of health technology platform: not another tracker, scorecard, or diagnostic dashboard, but a practical operating system for Health Creation. The Health Creation Operating System (HC OS) integrates coaching, behavior design, whole-person learning, pattern intelligence, and sensor-supported vitality metrics to help people understand how their daily patterns are shaping their energy, resilience, function, and well-being.

A central component of the emerging system is the V-Portal, a screenless shared sensor designed to make high-value body and cellular health metrics more affordable, accessible, and useful across families, teams, communities, and clinical settings. This presentation will introduce the vision, the architecture, the engineering opportunity, and the potential global impact of helping people consciously re-pattern their lives toward greater vitality, agency, and thriving.

Bio:
Dr. Mark Percival is a retired chiropractic and naturopathic doctor, Health Creation strategist, systems designer, and CEO & Co-Founder of V-Metrics: Health Creation Lab. In the late 1980s, he founded Health Coach Systems International and helped pioneer what became the modern health coaching industry. Since then, his work has focused on one central question: how can people be inspired, educated, and supported to consciously re-pattern their lives in ways that restore vitality, function, meaning, and well-being?

Through V-Metrics, Dr. Percival is helping build a Health Creation Operating System that brings together coaching science, behavior change, whole-person health assessment, biofeedback, AI-guided learning, and practical daily experimentation. The system is designed to help individuals and communities move beyond isolated health data and into a more supportive process of learning, self-understanding, and step-by-step health creation.

Photo Policy: Please be aware that photography, video, and sound recordings will take place during the event. You may be asked to appear in a photo, or you might be unintentionally recorded when photos or videos are captured. Individuals will not be identified in the Thompson Okanagan Section’s published media without their consent.

For further information, please get in touch with Youry Khmelevsky (email: tok-section [at] ieee.org) and subscribe to the news at NEWS-THOMPSONOKANAGAN@listserv.ieee.org
Refreshments will be provided.

Student Research Project Presentations

Time & Date: 9:30 am – 2:00 pm, Thursday, May 7, 2026
Location: Room C-130 and via Zoom (see email and registration information), Computer Science Department, Okanagan College
Registrations are open now:

Activity Diagram Analysis: https://events.vtools.ieee.org/m/558688
AlgoTrade & XGBoost: https://events.vtools.ieee.org/m/558962
Way-finding Mobile Application: https://events.vtools.ieee.org/m/558690
Line Diagram Analysis: https://events.vtools.ieee.org/m/558692

Join us for an exciting student research presentation!
Come support and learn from students as they share their work, there will be multiple presentations happening throughout the day.
Snacks and lunch will be provided, so bring your curiosity (and your appetite)!
We’d love to see you there!

Agenda:

09:30 am – 10:00 am | Coffee & Networking
10:00 am – 10:10 am | Opening Remarks
10:10 am – 10:40 am | Activity Diagrams Analysis for Visually Impaired Students: Dolcy
10:40 am – 10:45 am | Activity Diagrams Analysis for Visually Impaired Students Q&A: Dolcy
10:45 am – 11:00 am | Snacks & Refreshments
11:00 am – 11:25 am | “Way-finding Mobile Application for Navigation”: Kristina and Dolcy
11:25 am – 11:35 am | “Way-finding Mobile Application for Navigation” Q&A: Kristina and Dolcy
11:35 am – 12:00 pm | Snacks & Refreshments (Lunch)
12:00 pm – 12:30 pm | AlgoTrade & XGBoost: Harsh
12:30 pm – 12:45 pm | AlgoTrade & XGBoost Q&A: Harsh
12:45 pm – 01:00 pm | Snacks & Refreshments
01:00 pm – 01:25 pm | Line Diagram Analysis for Visually Impaired Student: Ajitesh
01:25 pm – 01:40 pm | Line Diagram Analysis for Visually Impaired Student Q&A: Ajitesh
01:40 pm – 02:00 pm | Snacks & Refreshments: Round Table & Open Discussions

Speakers’ Bio:

Dolcy Sareen is a fourth-year Computer Science student at Okanagan College. Dolcy is also the webmaster of the Okanagan College IEEE Student Branch. She is passionate about learning new technologies, with a strong focus on data. Dolcy enjoys connecting with people and continuously learning from new experiences.

Kristina Cormier is a fourth-year Computer Science student at Okanagan College. She has always been curious about science and technology. Recently, she has discovered a passion for data analysis and machine learning algorithms. Kristina is the Chair of the Okanagan College IEEE Student Branch. She coordinates with her team to help organize events and volunteering. Kristina truly enjoys mentoring, meeting new people and discovering new opportunities.

Harsh Saw is a fourth-year Computer Science student with hands-on experience spanning software engineering and AI/ML — from writing production code to deploying real-world systems. He has worked across multiple domains in industry, building technology that goes beyond the classroom. Passionate about turning ideas into working products, Harsh enjoys the full journey from early development to live deployment. He is driven by curiosity about what technology can do when it is built to actually work in the real world.

Ajitesh Parihar is a fourth-year Computer Science student and a Research Assistant at Okanagan College. He is a tech enthusiast who enjoys learning about innovations and technologies and is passionate about software engineering, cybersecurity, and algorithms. He enjoys meeting and working with people with diverse backgrounds.

Photographs

Line Diagram Analysis for Visually Impaired Students – Student Presentation

Line Diagram Analysis for Visually Impaired Students

Time & Date: 01:00pm – 02:00pm , Thursday, May 7, 2026
Location: Room C-130 and via Zoom (see email and registration information), Computer Science Department, Okanagan College
Registration is open now: https://events.vtools.ieee.org/m/558692

Agenda:

1:00 pm – 1:25 pm | Line Diagram Analysis for Visually Impaired Students: Ajitesh
1:25 pm – 1:40 pm | Line Diagram Analysis for Visually Impaired Students Q&A: Ajitesh
1:40 pm – 2:00 pm | Snacks & Refreshments: Round Table & Open Discussions

Abstract:

Line diagrams and mathematical function plots are commonly used in scientific and educational textbooks and articles to convey quantitative relationships. However, their visual nature presents significant challenges and barriers for visually impaired learners. Despite the ongoing efforts to improve accessibility in higher education, the non-text content still remains difficult to interpret non-visually. The existing diagram analysis approaches often focus on chart type classification, require manual user intervention for tasks such as label mapping, or fail to provide accessible end-to-end interaction for non visual analysis. Also, many of these systems do not explicitly consider the requirements of visually impaired users, resulting in workflows and interfaces that are not accessible. We propose an accessibility aware framework for automated analysis of line diagrams from raster images. The proposed end-to-end system performs CNN based curve segmentation, diagram type classification, label and tick extraction using optical character recognition, mapping of curve pixels to the diagram domain, and supports interactive querying along with a user interface compliant with the Web Content Accessibility Guidelines. Evaluation is conducted using a large synthetic dataset of 2D chart images representing a variety of mathematical functions and discrete point line charts, which is used for both model training and system-level assessment.

Speaker’s Bio:

Ajitesh Parihar is a fourth-year Computer Science student and a Research Assistant at Okanagan College. He is a tech enthusiast who enjoys learning about innovations and technologies and is passionate about software engineering, cybersecurity, and algorithms. He enjoys meeting and working with people with diverse backgrounds.

For further information please contact: Youry Khmelevsky (email: Youry at IEEE.org)
Refreshments will be provided

Algorithmic Trading: XGBoost Machine Learning Model – Student Presentation

Algorithmic Trading: XGBoost Machine Learning Model

Time & Date: 12:00pm – 01:00pm , Thursday, May 7, 2026
Location: Room C-130 and via Zoom (see email and registration information), Computer Science Department, Okanagan College
Registration is open now: https://events.vtools.ieee.org/m/558962

Agenda:

12:00 pm – 12:30 pm | AlgoTrade & XGBoost: Harsh
12:30 pm – 12:45 pm | AlgoTrade & XGBoost Q&A: Harsh
12:45 pm – 1:00 pm | Snacks & Refreshments

Abstract:

Stock markets generate enormous amounts of data every day, yet predicting how a stock will move throughout a trading session remains a difficult problem. This paper presents MarketSight, a system that learns from years of historical market data to forecast how individual stock prices will evolve across an entire trading day — before that day begins. By identifying patterns in past price behavior, the system produces a predicted price path for each stock, giving traders an early picture of likely intraday movement. The system runs automatically each night, updating its predictions with the latest available data. Experiments across approximately 500 US-listed stocks demonstrate meaningful forecasting accuracy, with predictions consistently outperforming naive baselines.

Speaker’s Bio:

Harsh Saw is a fourth-year Computer Science student with hands-on experience spanning software engineering and AI/ML — from writing production code to deploying real-world systems. He has worked across multiple domains in industry, building technology that goes beyond the classroom. Passionate about turning ideas into working products, Harsh enjoys the full journey from early development to live deployment. He is driven by curiosity about what technology can do when it is built to actually work in the real world.

For further information please contact: Youry Khmelevsky (email: Youry at IEEE.org)
Refreshments will be provided

Cross-Platform 2D and 3D Way-finding Mobile Application for Navigation in Industrial Buildings and Parking Lots – Student Presentation

Cross-Platform 2D and 3D Way-finding Mobile Application for Navigation in Industrial Buildings and Parking Lots

Time & Date: 11:00am – 12:00pm , Thursday, May 7, 2026
Location: Room C-130 and via Zoom (see email and registration information), Computer Science Department, Okanagan College
Registration is open now: https://events.vtools.ieee.org/m/558690

Agenda:

11:00 am – 11:25 am | “Way-finding Mobile Application for Navigation”: Kristina and Dolcy
11:25 am – 11:35 am | “Way-finding Mobile Application for Navigation” Q&A: Kristina and Dolcy
11:35 am – 12:00 pm | Snacks & Refreshments (Lunch)

Abstract:

Finding your way inside large buildings—like campuses, malls, or airports—can be difficult, especially when you’re short on time or in an unfamiliar place. Many existing solutions are expensive or rely on constant internet access. This project presents a mobile app that works both online and offline to help users navigate indoor and outdoor spaces. It uses interactive maps, QR codes for positioning, and a shortest-path algorithm to guide users efficiently. The system is designed to be affordable, easy to maintain, and scalable for different environments.

Speaker’s Bio:

Kristina Cormier is a fourth-year Computer Science student at Okanagan College. She has always been curious about science and technology. Recently, she has discovered a passion for data analysis and machine learning algorithms. Kristina is the Chair of the Okanagan College IEEE Student Branch. She coordinates with her team to help organize events and volunteering. Kristina truly enjoys mentoring, meeting new people and discovering new opportunities.

For further information please contact: Youry Khmelevsky (email: Youry at IEEE.org)
Refreshments will be provided

Activity Diagrams Analysis for Visually Impaired Students – Student Presentation

Activity Diagrams Analysis for Visually Impaired Students

Time & Date: 9:30am – 11:00am , Thursday, May 7, 2026
Location: Room C-130 and via Zoom (see email and registration information), Computer Science Department, Okanagan College
Registration is open now: VTools Link

Agenda:

9:30 am – 10:00 am | Coffee & Networking
10:00 am – 10:10 am | Opening Remarks
10:10 am – 10:40 am | Activity Diagrams Analysis for Visually Impaired Students: Dolcy
10:40 am – 10:45 am | Activity Diagrams Analysis for Visually Impaired Students Q&A: Dolcy
10:45 am – 11:00 am | Snacks & Refreshments

Abstract:

Diagrams are a very important part of education,learning and understanding , allowing the transmission of complex ideas in a visual format. However, current accessibility technologies introduce substantial limitations for visually impaired students in accessing these materials. Traditional approaches to fix this problem, such as audio descriptions and tactile graphics, either lack detail or are prohibitively expensive to scale. This review will focus on the current status of accessible diagram technologies, such as tactile graphics, 3D printing, AI-driven recognition applications and methods proposed till now . We identify the major technical challenges and propose an integrated approach using multi-modal interaction by combining audio, and AI-enhanced diagram interpretation. The approach offers equal access to STEM visual content as part of the road to inclusive education.

Speaker’s Bio:

Dolcy Sareen is a fourth-year Computer Science student at Okanagan College. Dolcy is also the webmaster of the Okanagan College IEEE Student Branch. She is passionate about learning new technologies, with a strong focus on data. Dolcy enjoys connecting with people and continuously learning from new experiences.

For further information please contact: Youry Khmelevsky (email: Youry at IEEE.org)
Refreshments will be provided

Data Collection and Staging Process Automation for Machine Learning in Algorithmic Trading – Students Presentation

Data Collection and Staging Process Automation Precision, Speed and Scalability for Machine Learning Modelling of Algorithmic Trading Stocks-Price Prediction

Time & Date: 9:00am – 11:00am , Wednesday, April 22, 2026
Location: Room E-301 and via Zoom (see email and registration information), Computer Science Department, Okanagan College
Registration is open now: https://events.vtools.ieee.org/m/555692

This project brings together three teams: Data Collection, Data Warehousing, and Machine Learning into a unified, end-to-end system for high-frequency stock price prediction.
Learn how we designed a scalable pipeline using distributed computing and XGBoost, covering system architecture, data engineering, and real-world ML applications in algorithmic trading.
This work also establishes a foundation for ongoing research and extended large-scale evaluation.
Open to students, faculty, and anyone interested in machine learning, data systems, or fintech.

Abstract:

This presentation discusses an automated data collection and staging pipeline for high-frequency stock price prediction using machine learning. The system integrates scalable ELT processes, data deduplication, and distributed training with XGBoost on high-performance computing infrastructure. Designed for precision, speed, and scalability, the framework enables efficient handling of large financial time-series datasets while maintaining robust predictive performance and optimized resource utilization.

Contributors:

This project was developed through a collaborative effort across three specialized teams:

Data Collection Team

Responsible for sourcing, aggregating, and preprocessing raw financial and market data.

Andrew Johnson
Emilio Iturbide
Reilly Mager
Lian Heckrodt
Cade Dempsey
Kristina Cormier

Data Warehouse Team

Designed and implemented the data storage architecture, ETL/ELT pipelines, and database systems.

Alex Anthony
Hayden Nikkel
Daemon Lewis
John Cortez
Jackson Rosco

Machine Learning Team (XGBoost)

Developed, trained, and evaluated machine learning models for predictive analytics and trading strategies.

Harsh Saw
Zane Tessmer
Kavaljeet Singh
Dante Bertolutti
Guntash Brar
Parag Jindal

Acknowledgements

We thank all contributors and collaborators who supported the development, testing, and deployment of this system.

Photographs

For further information please contact: Youry Khmelevsky (email: Youry at IEEE.org)
Refreshments will be provided