M.Sc.
University of Calgary · June 2026
Electrical Engineering
Thesis-based master's · machine learning for pipeline leak detection and localization
Read about the thesis ↓
Human-X Interaction Lab Calgary, CanadaPortfolio / selected work
Mehdi
Marzban.
Software engineering.
Machine learning research.
I'm a University of Calgary graduate with a thesis-based M.Sc. in Electrical Engineering and a B.Sc. in Software Engineering, with a minor in Biomedical Engineering.
Explore my research ↘Try the projects ↗M.Sc. Electrical EngineeringB.Sc. Software EngineeringBased in Calgary Open to remote opportunities
Education
Human-X Interaction LabB.Sc.
University of Calgary · 2018–2022
Software Engineering
Minor in Biomedical Engineering
02 / RESEARCH
Master's thesis · 2026
M.Sc. thesis / University of Calgary
Enhancing Leak Detection in Oil and Gas Pipelines with Multi-Task LSTM Model
My master's research studies how a model can detect a pipeline leak and estimate its location from multivariate time-series data.
The work includes preprocessing, model development, and evaluation using simulated pipeline data, with a comparison between multi-task LSTM and 1D CNN models.
Read the published thesis ↗03 / PUBLICATIONS
Publications
An Immersive Digital Twin with Virtual Agent Interface for Pipeline Leak Simulation and Monitoring
IEEE ISMAR-Adjunct · XRAI-SCA Workshop · pp. 201–204
DOI: 10.1109/ISMAR-Adjunct68609.2025.00045Volumetric Changes in Cerebellar Transverse Zones: Age and Sex Effects in Health and Neurological Disorders
Human Brain Mapping · 46(6), e70214
DOI: 10.1002/hbm.70214PubMed record ↗Immersive 3D Digital Twin for Collaborative Hydrogen Pipeline Simulation and Visualization: A Project Description
IEEE VRW · XRIOS Workshop · pp. 294–296
DOI: 10.1109/VRW62533.2024.0005804 / SELECTED WORK
Projects
Pipeline visualization
PRIME
Explore a pipeline route in ArcGIS and Cesium. Select pipeline nodes and review leak, stress, risk, and what-if interfaces.
Front-end reconstruction of a collaborative master's project.
Open demo ↗Project details +
The demo renders the source route with selectable nodes and seven station-to-station spans. Engineering screens reproduce the original interface; the original simulation services are not connected.
Thesis section 5.1 ↗
Open PRIME ↗
Document retrieval
Document Evidence Assistant
Upload a PDF, ask a question, and inspect the supporting passages. Optional Gemini answers include references to the source document.
Open demo ↗Project details +
Retrieval and citation validation keep supporting text visible. Development cases cover table values, missing information, and conflicting statements. Generated claims still require human review.
Open Document Evidence Assistant ↗
XR digital twin · HXI Lab
SHAPE
Safe Hydrogen Agile Pipeline Engineering: an immersive digital twin of the University of Calgary's APRIL facility for pipeline visualization, leak simulation, and operator training.
My contributions included Python/MATLAB backend components and REST API integration.
Presented at IEEE ISMAR 2025 in Daejeon, South Korea.
Thesis section 5.2 ↗Project details +
The research prototype combines an APRIL facility scan, a CAD pipeline model, sensor visualization, and an embodied virtual agent. The conference presentation describes sensor-to-database and simulation workflows, the Unity XR interface, and a planned usability study.
Collaborative research at the University of Calgary and HXI Lab. The demo documents the prototype; full integration of the thesis ML models is discussed as future work.
A walkthrough of the XR pipeline model, sensor overlays, and flow visualization.
Presentation visuals +
An Immersive Digital Twin with Virtual Agent Interface for Pipeline Leak Simulation and Monitoring. Conference presentation, IEEE ISMAR 2025.
Android · undergraduate capstone
HandiApp
A mobile app for finding and sharing accessibility information about places. Users can search a map, read community reviews, and describe their own experience of an establishment.
Collaborative software engineering capstone · 2022
Project details +
The Android app supports place search, adding and managing accessibility reviews, keyword filtering, and text-to-speech. The team used Kotlin and XML for the interface, Google Maps and Places for location search, and AWS Amplify, AppSync, DynamoDB, and Cognito for data and authentication.
These screenshots document the capstone application. A current public app release is not linked.
05 / PROFILE
About
Based in Calgary, with a background in software engineering and machine learning research. My work spans time-series models, pipeline visualization, and backend software for XR research.
- Tools
- Python, TensorFlow/Keras, JavaScript, MATLAB, REST APIs
- Model evaluation
- Outlier work identifying edge cases and assessing model responses.
Outside of work
Nature & camping
I love being outdoors, especially camping and spending time in the mountains.
A camping trip in Peter Lougheed Provincial Park · 2026
Calgary · open to remote opportunities
Contact
Interested in machine learning, data, and software engineering opportunities.
GitHub ↗