PrototypeAI-Assisted Robotic Hand
A physical embedded testbed for actuator coordination, command interpretation, and repeatable manipulation experiments.
Md Naim · Investigating embedded projects
Algoma University · Canada
Engineering intelligencefor the physical world
We build intelligent, secure, and reusable embedded software for autonomous and cyber-physical systems.
Research visionFrom algorithms to systems that sense, decide, and act.
Autonomous systems Edge AI Secure systems
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.
↗Secure & Safe Embedded Systems
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.
↗Cyber-Physical Systems & Digital Twins
Model-driven integration of sensing, computation, networking, and physical processes for observable and resilient intelligent systems.
↗Parallel Computing & Task Scheduling
Resource-aware scheduling, workload partitioning, and parallel execution across multicore, GPU, edge, and cloud platforms.
↗Edge-Native XR & Spatial Intelligence
Spatial sensing and edge AI for building-progress monitoring, wiring guidance, sensor placement, and system commissioning.
↗AI-Assisted Robotics & Embedded Control
Physical robotic testbeds connect software commands, actuator coordination, and observable hardware behaviour.
↗Autonomous Driving Simulation
MetaDrive-based simulation environments support investigations of vehicle behaviour, perception, and embedded decision-making.
↗RAG & Knowledge-Assisted Development
Retrieval-augmented workflows connect project documents, design constraints, and evidence review for embedded software development.
↗Selected work
View all projects →Featured research projects
Prototype
PrototypeEmbedded Control & Hardware Integration
Investigating the connection between software commands and robotic motion through a laptop-based control interface.
Md Naim · Investigating embedded projects
InvestigationMetaDrive: Autonomous Driving Simulation
Investigating autonomous vehicle behaviour and embedded decision-making in multi-vehicle road scenarios.
PrototypeRAG Systems: Policy-Aware Document Intake
An intake prototype using an illustrative drone-project corpus to explore document findings, policy checks, and review decisions.
ActiveUAV Autonomy & Health Monitoring
LLM-assisted parameter mapping, real-time fault detection, and safety-aware deployment for unmanned aerial platforms.
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.
FeaMod
Automated feature-model extraction that improves modularity, adaptability, and code reuse in legacy embedded systems.
Selected publications
Browse all publications →Ideas, tested and shared
Conference · Embedded AI & Security
↗Constraint-Aware Exploitability Analysis and Anomaly Recovery for CPS CI/CD Pipelines
G. Camargo and M. A. Maruf
IEEE ICMLA 2026 · AcceptedConference · 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 Award