2024
Alsakka, Fatima, et al. “Digital twin for production estimation, scheduling and real-time monitoring in offsite construction.” Computers & Industrial Engineering 191: 110173.
Curriculum vitae
CV
Engineer and AI governance researcher with a background in sensor microfabrication, IoT, and edge AI — from a Microsoft AI for Earth agritech grant and KU Leuven / imec exchange work to applied safety, policy, and teaching.
Education
Degrees
University of British Columbia, Canada
2020 to 2023
Researcher, Postdoc Fellow, Electrical and Computer Engineering
Simon Fraser University, Canada
2014 to 2021
PhD, Mechatronics Systems Engineering
Katholieke Universiteit Leuven, Belgium
2017 to 2019
International Scholar, Engineering Science
Simon Fraser University, Canada
2008 to 2012
BSc, Physics
Credentials
Certificates
- Google Project Management
- Microsoft Certified: Azure AI Engineer Associate
- IoT Analysis Professional
- MITx: Tools for Academic Engagement in Public Policy
- Stanford e-Learning: AI in Healthtech Specialization
- Microsoft IoT Analysis Professional Certificate
- HarvardX: TinyML, Fundamentals, Applications, and Deployment
- RPAS Pilot Certificate, Basic Operations
- RPAS Pilot Certificate, Advanced Operations
- UNIDO: Eco-Industrial Park
- UNIDO: Industry 4.0
Recognition
Awards
- Nvidia Hardware Grant, UBC, 2023
- Mitacs Accelerate Fellowship, UBC, 2021 to 2022
- Microsoft AI for Earth Grant, 2019 to 2020
- Microsoft AI Upskilling Hackathon, popular project award, 2020
- Agritech Hackathon, Best Cloud Solution, 2020
- Microsoft Professional Program for IoT, 2019
- KU Leuven international scholar scholarship, 2017 to 2019
- Top 25, Microsoft AI Challenge: Sustainable Life, Toronto, 2019
- Winner, Lions' Den Pitch award, WhatTheHack Brussels, 2019
- Winner, audience award, WhatTheHack Leuven, 2019
- Winner, healthcare track, WhatTheHack Leuven, 2019
- Most liked project, Deloitte Online Garage Hackathon, Amsterdam, 2019
- Finalist, Medical Device Development Centre Student Awards, 2019
- Finalist, Transportation Innovation Challenge, Vancouver, 2019
- Finalist, SFU Community Student Engagement Competition, 2018/19 and 2017/18
- 3rd place, Lumohacks Hackathon, Vancouver, 2018
- Winner, Best Hardware Team, Lumohacks Hackathon, 2018
- Winner, MolenGeek IoT Hackathon, Brussels, 2018
- Winner, Coast Capital Savings Venture Idea Prize, 2017
- International Co-op Award, SFU, 2017
- Graduate Fellowship, MSE, Simon Fraser University, 2016 and 2017
- SFU International Travel Research Award, 2016
Writing
Publications
2023
Alsakka, Fatima, et al. “Computer vision-based process time data acquisition for offsite construction.” Automation in Construction 149: 104803.
2023
Alsakka, Fatima, et al. “Computer vision applications in offsite construction.” Automation in Construction 154: 104980.
2022
AlSakka, F. et al. “Computer Vision-Based Time Data Acquisition System in Construction Manufacturing: TiDA.” Automation in Construction. Submitted.
2018
El-Chami, I., et al. “Determining the thermal behaviour of encapsulants and its impact on energy yield.” 35th European Photovoltaic Solar Energy Conference and Exhibition – EUPVSEC; pp. 273–277.
2018
Govaerts, J., et al. “Progress in encapsulant-integrated multi-wire interconnection.” 35th European Photovoltaic Solar Energy Conference and Exhibition – EUPVSEC; pp. 71–74.
2017
El-chami, et al. “A Silicon Vector Light Sensor for Proximity Sensing Applications.” Proceedings of the 19th International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers ’17, Kaohsiung, Taiwan, pp. 163–167.
2016
El-chami, I. et al. “A Vector Light Detector for Proximity Sensing Applications.” IEEE Sensors Conference, Orlando, pp. 1–3.
2016
Shafiei, M. et al. “Effect of Experimental Parameters on Morphology of Electrospun MoO3 Incorporated Polyethylene Oxide Nanofibres.” ICON conf.
2015
El-chami, I. et al. “Application of carbon nanotube and graphene nanocomposites for fabrication of micro-bolometers.” IEEE Sensors Conference, Busan, pp. 1–4.
2015
V. Grayli, S., et al. “Room Temperature Deposition of Highly Sensitive Vanadium Oxide Films for Infrared Light Sensing Applications.” IEEE Sensors Conference, Busan, pp. 1–4.