ActiveUAV Autonomy & Health Monitoring
LLM-assisted parameter mapping, real-time fault detection, and dependable deployment for unmanned aerial platforms.
Algoma University · Canada
Engineering intelligencefor the physical world.
We build intelligent, dependable, and reusable embedded software for autonomous and cyber-physical systems.
Research visionFrom algorithms to systems that sense, decide, and act.
Autonomous systems Edge AI Dependable software
EXPLORE NEST ↓
Our researchSoftware for systems
Software for systems
that cannot afford to fail.
NEST connects software engineering, machine intelligence, and physical testbeds. Our work moves from foundational methods to deployable systems in aerospace, automotive, energy, and robotics.
Embedded AI at the Edge
Hardware-aware training, partitioning, and inference methods that bring capable machine learning to constrained edge platforms.
↗Dependable Embedded Software
Testing, calibration, and runtime assurance for systems where timing, safety, and reliability are non-negotiable.
↗Autonomous Systems
Perception, planning, health monitoring, and resilient software pipelines for UAVs, vehicles, and robotic platforms.
↗Smart Energy Systems
Embedded optimization and intelligent control for grid resilience, battery energy storage, and IoT monitoring.
↗Software Reuse & DevOps
AI-assisted feature discovery and certification-aware delivery pipelines for long-lived embedded software.
↗Selected work
View all projects →Research in motion.
Active
ActiveIntelligent Grid & BESS Integration
Embedded optimization, real-time analytics, and digital-twin methods for resilient energy infrastructure.
ActiveESOps: AI-Driven Embedded DevOps
A next-generation pipeline for feature discovery, testing, and certification-ready embedded software delivery.
Selected publications
Browse all publications →Ideas, tested and shared.
Conference · DevOps
↗Work-in-Progress: ESOps—An Agile Pipeline for Next-Generation Embedded Systems Development
M. A. Maruf and A. Azim
IEEE/ACM EMSOFTConference · Software reuse
↗FeaMod: Enhancing Modularity, Adaptability and Code Reuse in Embedded Software Development
M. A. Maruf, A. Azim, N. Auluck, and M. Sahi
IEEE IRI — Best Paper AwardJournal · Edge AI
↗Optimizing DNN Training with Pipeline Model Parallelism for Enhanced Performance in Embedded Systems
M. A. Maruf, A. Azim, N. Auluck, and M. Sahi
Journal of Parallel and Distributed Computing, 190