Conference · Dependability
Constraint-Aware Exploitability Analysis and Anomaly Recovery for CPS CI/CD Pipelines
G. Camargo and M. A. Maruf
IEEE ICMLA 2026 · SubmittedPublications
Knowledge built to travel.
Peer-reviewed work across embedded software, edge intelligence, dependable systems, and cyber-physical platforms.
Journal · Edge AI
Data Driven Deep Neural Network Based Task Offloading on Edge Cloud Continuum
M. Sahi, N. Auluck, A. Azim, P. Bhardwaj, and M. A. Maruf
IEEE Transactions on Network and Service ManagementJournal · Dependability
A Systematic Literature Review on Vulnerabilities, Mitigation Techniques, and Attacks in FPGAs
A. Alsuwaiyan, A. A. Habib, A. B. Imoukhuede, et al.
Arabian Journal for Science and Engineering, 50(2), 611-641Conference · 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, 190Journal · Edge AI
Dynamic Hierarchical Intrusion Detection Task Offloading in IoT Edge Networks
M. Sahi, N. Auluck, A. Azim, and M. A. Maruf
Software: Practice and Experience, 54(11), 2249-2271Conference · Dependability
Anomaly Detection and Functional Testing for Automotive CAN Communication
M. A. Maruf and A. Azim
IEEE International Systems ConferenceConference · Edge AI
Towards Safe Online Machine Learning Model Training and Inference on Edge Networks
M. A. Maruf, A. Azim, N. Auluck, and M. Sahi
IEEE ICMLA, 1082-1089Conference · Edge AI
Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices
M. A. Maruf and A. Azim
Canadian Conference on Artificial IntelligenceConference · Software reuse
Automated Features and Requirements Identification for Improving CPS Software Reuse Using Topic Modeling
M. A. Maruf and A. Azim
ACM/IEEE ICCPSJournal · Software reuse
Facilitating Reuse of Functions in Embedded Software
M. A. Maruf, A. Azim, and O. Alam
IEEE Access, 10, 88595-88605Book chapter · Cyber-physical systems
Cognitive Mobile Computing for Cyber-Physical Systems
M. A. Maruf and A. Azim
Towards a Wireless Connected World, Springer, 203-222Journal · Edge AI
Faster Fog Computing Based Over-the-Air Vehicular Updates: A Transfer Learning Approach
M. A. Maruf, A. Singh, A. Azim, and N. Auluck
IEEE Transactions on Services Computing, 15(6), 3245-3259Conference · Edge AI
A Framework for Partitioning Support Vector Machine Models on Edge Architectures
M. Sahi, M. A. Maruf, A. Azim, and N. Auluck
IEEE SMARTCOMP, 293-298Journal · Dependability
A Software-Based Calibration Approach to Increase the Robustness of Embedded Systems
M. A. Maruf and A. Azim
International Journal of Embedded Systems, 13(4), 466-475Journal · Software reuse
Requirements-Preserving Design Automation for Multiprocessor Embedded System Applications
M. A. Maruf and A. Azim
Journal of Ambient Intelligence and Humanized Computing, 12, 821-833Conference · Edge AI
Mushroom Demand Prediction Using Machine Learning Algorithms
M. A. Maruf, A. Azim, and S. Mukherjee
IEEE International Symposium on Networks, Computers and Communications (ISNCC)Conference · Edge AI
Resource Efficient Allocation of Fog Nodes for Faster Vehicular OTA Updates
M. A. Maruf, A. Singh, A. Azim, and N. Auluck
IEEE ISNCCJournal · Dependability
Extending Resources for Avoiding Overloads of Mixed-Criticality Tasks in Cyber-Physical Systems
M. A. Maruf and A. Azim
IET Cyber-Physical Systems: Theory & Applications, 5(8)Conference · Edge AI
Faster OTA Updates in Smart Vehicles Using Fog Computing
K. Fizza, N. Auluck, A. Azim, M. A. Maruf, and A. Singh
IEEE/ACM UCC, 59-64Conference · Dependability
Software-Based Monitoring for Calibration of Measurement Units in Real-Time Systems
M. A. Maruf and A. Azim
IECON 2018 — 44th Annual Conference of the IEEE Industrial Electronics Society