SMART WAREHOUSE
Industrial automation. Proven.
Built on the expertise of our affiliate, Solutions Serafin, Gotham extends decades of experience in industrial automation, robotics, and intelligent manufacturing into the next generation of connected infrastructure.
The Smart Warehouse demonstrates the type of cyber-physical systems, AI-enabled automation, and digital manufacturing capabilities that form the technical foundation behind Gotham's future industrial solutions.
CAPABILITIES
The team is building a closed-loop system where sensors on the bus feed a cloud-based digital twin, which detects and explains anomalies, predicts battery/component degradation, and either triggers self-healing adjustments or schedules the right maintenance/charging action — all synchronized in real time over a 4G/5G network.
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Defines what the bus actually senses (battery, motor, environment, etc.) and designs the 4G/5G communication network connecting the bus to its digital twin and the maintenance center.
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Identifies which EV components are most failure-critical and builds test-bench experiments to generate and validate the fault data the system will learn from.
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Since real failure data is scarce, Daoud is building synthetic anomaly injection to train and stress-test detection algorithms, while Elmahi is developing an explainable framework to detect anomalies and trace their root causes across interacting subsystems and operational modes.
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Uses adaptive ML to learn healthy vs. unhealthy battery behavior across cell/module/pack levels, so failures can be caught before they propagate.
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Builds the actuator/robot and EB digital twins that let the system autonomously adjust operating parameters to extend Remaining Useful Life (RUL) once a problem is detected.
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Simulates predictive and opportunistic maintenance plans plus intelligent charging scheduling, using an AnyLogic GIS model of real bus routes.
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Ensures the physical bus and its digital twin stay in sync in near real-time (compression, data-loss recovery, latency minimization) so the feedback loop above actually works on the road.
CEOSnet
Intelligent Cyber‑Physical Systems (I‑CPS) Laboratory
To develop knowledge and research infrastructure, to implement and test advanced manufacturing and business processes to support the digital transformation from traditional methods to smart, connected and sustainable manufacturing.
Polytechnique Montréal’s Intelligent Cyber-Physical Systems (I-CPS) Lab brings together specialists from multiple fields to support Québec SMEs as they boost productivity through digital transformation. (Photo: I-CPS Lab)
This laboratory recreates a connected industrial environment where robots, sensors and systems communicate in real time to anticipate the unexpected, support decision-making and maintain the performance of operations
DIVE DEEPER
“The initiative is supported by a $12‑million investment from the Canada Foundation for Innovation (CFI) and the Government of Québec, along with more than $3 million in CREATE funding from the Natural Sciences and Engineering Research Council of Canada (NSERC) to support the training of nearly 400 highly qualified personnel in Industry 4.0 manufacturing systems.
The network has already partnered with Solutions Serafin, a company specializing in the maintenance of heavy-duty electric bus. Working across the nodes of Polytechnique Montréal’s I‑CPS Lab and the Synchromedia Lab at ÉTS, researchers have applied their approach to real-world challenges such as battery management and service continuity.”
PROFESSOR DR. SOUMAYA
Professor of Mathematics and Industrial Engineering, École Polytechnique of Montreal, 1999-present.
Professor Soumaya Yacout. (Photo: I-CPS Lab)