Semantics-preserving implementation of synchronous specifications over dynamic TDMA distributed architectures. - Dumitru Potop-Butucaru; Akramul Azim; Sebastian Fischmeister (EMSOFT, 2010)

Design Choices for High-Confidence Distributed Real-Time Software. - Sebastian Fischmeister; Akramul Azim (ISoLA (2), 2010)

Dynamic service policy-based clustered wireless sensor networks. - Akramul Azim; Mohammad Mahfuzul Islam (WiMob, 2010)

Resolving state inconsistency in distributed fault-tolerant real-time dynamic TDMA architectures. - Akramul Azim; Sebastian Fischmeister (ETFA, 2011)

Deterministic cluster head selection for wireless sensor networks. - Akramul Azim; Mohammad Mahfuzul Islam (CCECE, 2012)

CSS: Conditional State-Based Scheduling for Networked Control Systems. - Xi Chen 009; Akramul Azim; Xue Liu 001; Sebastian Fischmeister (RTCSA, 2012)

An Efficient Periodic Resource Supply Model for Workloads with Transient Overloads. - Akramul Azim; Shreyas Sundaram; Sebastian Fischmeister (ECRTS, 2013)

Generation of communication schedules for multi-mode distributed real-time applications. - Akramul Azim; Gonzalo Carvajal; Rodolfo Pellizzoni; Sebastian Fischmeister (DATE, 2014)

D-RES: Correct transitive distributed service sharing. - Augusto Born de Oliveira; Akramul Azim; Sebastian Fischmeister; Ricardo Marau; Luís Almeida 001 (ETFA, 2014)

Efficient Jammed Area Mapping in Wireless Sensor Networks. - Akramul Azim; Sanjid Mahiba; Tarikul Alam Khan Sabbir; Shafayet Ahmad (IEEE Embed. Syst. Lett., 2014)

DTS: Dynamic TDMA scheduling for Networked Control Systems. - Xi Chen 009; Akramul Azim; Xue Liu 001; Sebastian Fischmeister; Jun Ma (J. Syst. Archit., 2014)

Scheduling of Overload-Tolerant Computation and Multi-Mode Communication in Real-Time Systems. - Akramul Azim (2014)

Generation of communication schedules using component interfaces. - Akramul Azim; Rodolfo Pellizzoni; Sebastian Fischmeister (ETFA, 2015)

Analyzing consensus in multi-mode real-time communication using history information. - Akramul Azim (ETFA, 2016)

Efficient mode changes in multi-mode systems. - Akramul Azim; Sebastian Fischmeister (ICCD, 2016)

Overloads in compositional embedded real-time control systems. - Akramul Azim (RSP, 2016)

A new dynamic service span-based energy comparison LEACH for achieving expected WSNs lifetime. - Mohammad Mahfuzul Islam; Akramul Azim; Golam Sorwar (Int. J. Inf. Commun. Technol., 2016)

An Imputation-based Augmented Anomaly Detection from Large Traces of Operating System Events. - Mellitus Ezeme; Akramul Azim; Qusay H. Mahmoud (BDCAT, 2017)

A framework for extending resources of embedded systems using the Cloud. - Mohammad S. Jassas; Jortin Mathew; Akramul Azim; Qusay H. Mahmoud (CCECE, 2017)

CARTS: Constraint-based analytics from real-time system monitoring. - Nayreet Islam; Akramul Azim (SMC, 2017)

Generation of fault-tolerant state-based communication schedules for real-time systems. - Akramul Azim (EURASIP J. Embed. Syst., 2017)

Assuring the runtime behavior of self-adaptive cyber-physical systems using feature modeling. - Nayreet Islam; Akramul Azim (CASCON, 2018)

Software-based Monitoring for Calibration of Measurement Units in Real-time Systems. - Md. Al Maruf; Akramul Azim (IECON, 2018)

Hierarchical Attention-Based Anomaly Detection Model for Embedded Operating Systems. - Mellitus O. Ezeme; Qusay H. Mahmoud; Akramul Azim (RTCSA, 2018)

DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes. - Okwudili M. Ezeme; Michael Lescisin; Qusay H. Mahmoud; Akramul Azim (Canadian AI, 2019)

Delay-bound function for cyber-physical systems: work-in-progress. - Akramul Azim (EMSOFT Companion, 2019)

Feature characterization for CPS software reuse. - Nayreet Islam; Akramul Azim (ICCPS, 2019)

A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing. - Okwudili M. Ezeme; Qusay H. Mahmoud; Akramul Azim (ICMLA, 2019)

Time-efficient offloading for machine learning tasks between embedded systems and fog nodes. - Darren Saguil; Akramul Azim (ISORC, 2019)

Faster OTA Updates in Smart Vehicles using Fog Computing. - Kaneez Fizza; Nitin Auluck; Akramul Azim; Md. Al Maruf; Anil Singh (UCC Companion, 2019)

DReAM: Deep Recursive Attentive Model for Anomaly Detection in Kernel Events. - Mellitus O. Ezeme; Qusay H. Mahmoud; Akramul Azim (IEEE Access, 2019)

Mushroom Demand Prediction Using Machine Learning Algorithms. - Md. Al Maruf; Akramul Azim; Sourojit Mukherjee (ISNCC, 2020)

Resource efficient allocation of fog nodes for faster vehicular OTA updates. - Md. Al Maruf; Anil Singh; Akramul Azim; Nitin Auluck (ISNCC, 2020)

Failure Scenarios for SIP/RTP services in Container Orchestration Clusters. - Samridhi; Ramiro Liscano; Akramul Azim; Abdul Zainul Abedin; Brian Pulito; Yee-Kang Chang (ISNCC, 2020)

A Situation-Aware Adaptation Framework for Intelligent Transportation Systems. - Nayreet Islam; Akramul Azim (ISORC, 2020)

Container-Based Internet-of-Things Architecture Pattern: Kill Switch. - David Lennick; Akramul Azim; Ramiro Liscano (ISORC, 2020)

Context-based learning for autonomous vehicles. - Maria J. P. Peixoto; Akramul Azim (ISORC, 2020)

Design and Development of AD-CGAN: Conditional Generative Adversarial Networks for Anomaly Detection. - Okwudili M. Ezeme; Qusay H. Mahmoud; Akramul Azim (IEEE Access, 2020)

A Layer-Partitioning Approach for Faster Execution of Neural Network-Based Embedded Applications in Edge Networks. - Darren Saguil; Akramul Azim (IEEE Access, 2020)

Energy-efficient offloading of real-time tasks using cloud computing. - Suzanne Elashri; Akramul Azim (Clust. Comput., 2020)

Remote Method Delegation: a Platform for Grid Computing. - Bradley Wood; Brock Watling; Zachary Winn; Daniel Messiha; Qusay H. Mahmoud; Akramul Azim (J. Grid Comput., 2020)

Extending resources for avoiding overloads of mixed-criticality tasks in cyber-physical systems. - Md. Al Maruf; Akramul Azim (IET Cyper-Phys. Syst.: Theory & Appl., 2020)

A software-based calibration approach to increase the robustness of embedded systems. - Md. Al Maruf; Akramul Azim (Int. J. Embed. Syst., 2020)

A situation-aware task model for adaptive real-time systems. - Nayreet Islam; Akramul Azim (J. Ambient Intell. Humaniz. Comput., 2020)

Software source code vulnerability detection using advanced deep convolutional neural network. - Mansour Alqarni; Akramul Azim (CASCON, 2021)

Failure prediction using machine learning in IBM WebSphere liberty continuous integration environment. - Md. Asif Khan; Akramul Azim; Ramiro Liscano; Kevin Smith; Yee-Kang Chang; Sylvain Garcon; Qasim Tauseef (CASCON, 2021)

A novel technique for control flow obfuscation in JVM applications using InvokeDynamic with native bootstrapping. - Bradley Wood; Akramul Azim (CASCON, 2021)

An energy-aware optimization model for real-time systems analysis and design: work-in-progress. - Suzanne Elashri; Akramul Azim (EMSOFT, 2021)

Using time-correlated noise to encourage exploration and improve autonomous agents performance in Reinforcement Learning. - Maria J. P. Peixoto; Akramul Azim (FNC/MobiSPC, 2021)

Supporting SIP Port Mapping and RTP Affinity Constraints in Container Orchestration Environments. - Ramiro Liscano; Samridhi; Akramul Azim; Nahid Hasan Khan; Abdul Zainul Abedin; Brian Pulito; Yee-Kang Chang (ICIN, 2021)

A Microservice-Based Architecture for Performance and Energy Benchmarking of Docker-Host Linux Distributions on Internet-of-Things Devices. - David Lennick; Akramul Azim; Ramiro Liscano (ICIT, 2021)

A Feature-Based Machine Learning Approach for Mixed-Criticality Systems. - Nelson Vithayathil Varghese; Akramul Azim; Qusay H. Mahmoud (ICIT, 2021)

Triton: a Domain Specific Language for Cyber-Physical Systems. - Bradley Wood; Akramul Azim (ICIT, 2021)

Dynamic Kalman filter-based velocity tracker for Intelligent vehicle. - Md. Asif Khan; Tegveer Singh; Akramul Azim; Vivek Burhanpurkar; Rodolphe Perrin (IECON, 2021)

A Framework for Partitioning Support Vector Machine Models on Edge Architectures. - Mansi Sahi; Md. Al Maruf; Akramul Azim; Nitin Auluck (SMARTCOMP, 2021)

Wireless and autonomous safety-critical system utilizing feedback. - Thomas Li; Akramul Azim (SysCon, 2021)

Transfer Learning on the Edge Networks. - Deepak Saggu; Akramul Azim (SysCon, 2021)

An Energy-Efficient Periodic Resource Model for Bounded Delay-Tolerant Real-Time Systems. - Suzanne Elashri; Akramul Azim (IEEE Access, 2021)

Requirements-preserving design automation for multiprocessor embedded system applications. - Md. Al Maruf; Akramul Azim (J. Ambient Intell. Humaniz. Comput., 2021)

PESKEA: Anomaly Detection Framework for Profiling Kernel Event Attributes in Embedded Systems. - Okwudili M. Ezeme; Akramul Azim; Qusay H. Mahmoud (IEEE Trans. Emerg. Top. Comput., 2021)

Low Level Source Code Vulnerability Detection Using Advanced BERT Language Model. - Mansour Alqarni; Akramul Azim (Canadian AI, 2022)

An Intelligent Traffic Monitoring Embedded System using Video Data Mining. - Maria J. P. Peixoto; Akramul Azim; Jim Sheehan; Dan Timothy (AIPR, 2022)

Mining Large Data to Create a Balanced Vulnerability Detection Dataset for Embedded Linux System. - Mansour Alqarni; Akramul Azim (BDCAT, 2022)

Workshop: Machine Learning in Software Quality. - Akramul Azim; Kevin Smith (CASCON, 2022)

A Machine Learning Approach to Predict System-Level Threats from Hardware-Based Fault Injection Attacks on IoT Software. - Aakash Gangolli; Qusay H. Mahmoud; Akramul Azim (CASCON, 2022)

Failure Prediction using Transfer Learning in Large-scale Continuous Integration Environments. - Rezwana Mamata; Kevin Smith; Akramul Azim; Yee-Kang Chang; Qasim Tauseef; Ramiro Liscano; Gkerta Seferi (CASCON, 2022)

Work-in-Progress: A Resource-Aware Optimization Model for Real-Time Systems Analysis and Design. - Rezwana Mamata; Akramul Azim (EMSOFT, 2022)

Real-Time Jaywalking Detection and Notification System using Deep Learning and Multi-Object Tracking. - Sifatul Mostafi; Weimin Zhao; Sittichai Sukreep; Khalid Elgazzar; Akramul Azim (GLOBECOM, 2022)

EVDD - A Novel Dataset For Embedded System Vulnerability Detection Mechanism. - Mansour Alqarni; Akramul Azim; Tegveer Singh (ICMLA, 2022)

Lock Contention Performance Classification for Java Intrinsic Locks. - Nahid Hasan Khan; Joseph Robertson; Ramiro Liscano; Akramul Azim; Vijay Sundaresan; Yee-Kang Chang (RV, 2022)

A Machine Learning Based Approach to Detect Fault Injection Attacks in IoT Software Systems. - Aakash Gangolli; Qusay H. Mahmoud; Akramul Azim (SMC, 2022)

Facilitating Reuse of Functions in Embedded Software. - Md. Al Maruf; Akramul Azim; Omar Alam (IEEE Access, 2022)

A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes Using Kernel Traces. - Okwudili M. Ezeme; Qusay H. Mahmoud; Akramul Azim (IEEE Trans. Knowl. Data Eng., 2022)

Improving the Schedulability of Real-Time Tasks Using Fog Computing. - Kaneez Fizza; Nitin Auluck; Akramul Azim (IEEE Trans. Serv. Comput., 2022)

Faster Fog Computing Based Over-the-Air Vehicular Updates: A Transfer Learning Approach. - Md. Al Maruf; Anil Singh; Akramul Azim; Nitin Auluck (IEEE Trans. Serv. Comput., 2022)

Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices. - Md. Al Maruf; Akramul Azim (Canadian AI, 2023)

Test Case Prioritization using Transfer Learning in Continuous Integration Environments. - Rezwana Mamata; Akramul Azim; Ramiro Liscano; Kevin Smith; Yee-Kang Chang; Gkerta Seferi; Qasim Tauseef (AST, 2023)

An edge computing-based monitoring framework for situation-aware embedded real-time systems. - Nayreet Islam; Akramul Azim (ICNC, 2023)

Automated Features and Requirements Identification for Improving CPS Software Reuse using Topic Modeling. - Md. Al Maruf; Akramul Azim (ICCPS, 2023)

A Lock Contention Classifier Based on Java Lock Contention Anti-Patterns. - Ramiro Liscano; Aritra Ahmed; Joseph Robertson; Akramul Azim; Vijay Sundaresan; Yee-Kang Chang (ICMLA, 2023)

Towards Safe Online Machine Learning Model Training and Inference on Edge Networks. - Md. Al Maruf; Akramul Azim; Nitin Auluck; Mansi Sahi (ICMLA, 2023)

A Robust Scheduling Algorithm for Overload-Tolerant Real-Time Systems. - Amin Avan; Akramul Azim; Qusay H. Mahmoud (ISORC, 2023)

A collaborative and distributed task management system for real-time systems. - Maria J. P. Peixoto; Akramul Azim (ISORC, 2023)

A Novel Predictive Modelling Approach Towards a Spatiotemporal Traffic Safety Index. - Sifatul Mostafi; Asma Fariha; Mohamed El-Darieby; Khalid Elgazzar; Akramul Azim (ITSC, 2023)

Towards Requirements Specification Collaboration Forum for Embedded Software Systems. - Asma Fariha; Sanaa A. Alwidian; Akramul Azim (MoDELS (Companion), 2023)

A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning. - Amin Avan; Farnaz Kheiri; Qusay H. Mahmoud; Akramul Azim; Masoud Makrehchi; Shahryar Rahnamayan (SSCI, 2023)

Ensemble Method For Fault Detection & Classification in Transmission Lines Using ML. - Muhammad Hayyan Bin Shahid; Akramul Azim (SysCon, 2023)

Design and Development of a Machine Learning-Based Task Orchestrator for Intelligent Systems on Edge Networks. - Maria J. P. Peixoto; Akramul Azim (IEEE Access, 2023)

Improving environmental awareness for autonomous vehicles. - Maria J. P. Peixoto; Akramul Azim (Appl. Intell., 2023)

A Systematic Review of Using Machine Learning and Natural Language Processing in Smart Policing. - Paria Sarzaeim; Qusay H. Mahmoud; Akramul Azim; Gary Bauer; Ian Bowles (Comput., 2023)

Automated offense Prioritization for SIEM using Probabilistic Machine Learning Models. - Md. Asif Khan; Akramul Azim; Farzaneh Abazari; Frank Eargle; Jeff Gardiner (Canadian AI, 2024)

SIEM+: Harnessing Machine Learning for Advanced Anomaly Detection in Cybersecurity Software. - Austin Page; Farzaneh Abazari; Frank Eargle; Akramul Azim; Jeff Gardiner (Canadian AI, 2024)

Experimental Analysis of Large Language Models in Crime Classification and Prediction. - Paria Sarzaeim; Qusay H. Mahmoud; Akramul Azim (Canadian AI, 2024)

Identification of Java lock contention anti-patterns based on run-time performance data. - Aritra Ahmed; Ramiro Liscano; Akramul Azim; Yee-Kang Chang; Vijay Sundaresan (AST@ICSE, 2024)

Machine Learning-based Test Case Prioritization using Hyperparameter Optimization. - Md. Asif Khan; Akramul Azim; Ramiro Liscano; Kevin Smith; Yee-Kang Chang; Qasim Tauseef; Gkerta Seferi (AST@ICSE, 2024)

Log Anomaly Detection by Leveraging LLM-Based Parsing and Embedding with Attention Mechanism. - Asma Fariha; Vida Gharavian; Masoud Makrehchi; Shahryar Rahnamayan; Sanaa A. Alwidian; Akramul Azim (CCECE, 2024)

Design and Development of a Digital Twin Platform for Scenario-Based Testing of Road Vehicles. - Akramul Azim; Ridwan Hossain (FNC/MobiSPC/SEIT, 2024)

Java lock contention anti-patterns and their associated recommendations. - Aritra Ahmed; Ramiro Liscano; Akramul Azim; Yee-Kang Chang; Vijay Sundaresan (ICSTW, 2024)

Replay-Based Continual Learning for Test Case Prioritization. - Asma Fariha; Akramul Azim; Ramiro Liscano (ICSTW, 2024)

Automated SQA Framework with Predictive Machine Learning in Airfield Software. - Ridwan Hossain; Akramul Azim; Linda Cato; Bruce Wilkins (ICSTW, 2024)

An End-to-End Test Case Prioritization Framework using Optimized Machine Learning Models. - Md. Asif Khan; Akramul Azim; Ramiro Liscano; Kevin Smith; Yee-Kang Chang; Gkerta Seferi; Qasim Tauseef (ICSTW, 2024)

TCPGraphix: A Visualization Tool for ML-Powered Test Case Prioritization Data Analysis. - Yara Q. Mahmoud; Akramul Azim; Md. Asif Khan (ICSTW, 2024)

Advancing Road Safety: Road Accident Severity Prediction Using Deep Learning Models. - Ashadullah Shawon; Akramul Azim (ITSC, 2024)

Explainable Artificial Intelligence (XAI) Approach for Reinforcement Learning Systems. - Maria J. P. Peixoto; Akramul Azim (SAC, 2024)

Anomaly Detection and Functional Testing for Automotive CAN Communication. - Md. Al Maruf; Akramul Azim (SysCon, 2024)

A Systematic Literature Review on Requirements Engineering and Maintenance for Embedded Software. - Asma Fariha; Sanaa A. Alwidian; Akramul Azim (IEEE Access, 2024)

On the Effectiveness of Feature Selection Techniques in the Context of ML-Based Regression Test Prioritization. - Md. Asif Khan; Akramul Azim; Ramiro Liscano; Kevin Smith; Yee-Kang Chang; Gkerta Seferi; Qasim Tauseef (IEEE Access, 2024)

A Framework for LLM-Assisted Smart Policing System. - Paria Sarzaeim; Qusay H. Mahmoud; Akramul Azim (IEEE Access, 2024)

Uncertainty measurement for complex event prediction in safety-critical systems. - Maria J. P. Peixoto; Akramul Azim (CoRR, 2024)

Optimizing DNN training with pipeline model parallelism for enhanced performance in embedded systems. - Md. Al Maruf; Akramul Azim; Nitin Auluck; Mansi Sahi (J. Parallel Distributed Comput., 2024)

Dynamic hierarchical intrusion detection task offloading in IoT edge networks. - Mansi Sahi; Nitin Auluck; Akramul Azim; Md. Al Maruf (Softw. Pract. Exp., 2024)

A multi-mode real-time system verification model using efficient event-driven dataset. - Nayreet Islam; Akramul Azim (J. Ambient Intell. Humaniz. Comput., 2024)

Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing. - Amin Avan; Akramul Azim; Qusay H. Mahmoud (Canadian AI, 2025)

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements. - Seyed Moein Abtahi; Akramul Azim (Forge@ICSE, 2025)

A Structured Approach to Accessibility in Software Development Lifecycle. - Md Hasan Saju; Sanaa A. Alwidian; Partha Mazumder; Akramul Azim (Designing@ICSE, 2025)

ML-Based Test Case Prioritization: A Research and Production Perspective in CI Environments. - Md. Asif Khan; Akramul Azim; Ramiro Liscano; Kevin Smith; Yee-Kang Chang; Gkerta Seferi; Qasim Tauseef (ICST, 2025)

Leveraging LLM Enhanced Commit Messages to Improve Machine Learning Based Test Case Prioritization. - Yara Q. Mahmoud; Akramul Azim; Ramiro Liscano; Kevin Smith; Yee-Kang Chang; Qasim Tauseef; Gkerta Seferi (PROMISE, 2025)

Improving Runtime Performance in Java: A Systematic Detection and Refactoring Approach for Lock Contention Code Smells (Work In progress paper). - Ankita Mukherjee; Ashadullah Shawon; Md. Asif Khan; Joseph Robertson; Ramiro Liscano; Akramul Azim; Vijay Sundaresan; Yee-Kang Chang (ICPE (Companion), 2025)

Retrieval Augmented Generation Fine-Tuned LLM Model for Code Recommendations to Mitigate Lock Contention. - Ashadullah Shawon; Ramiro Liscano; Akramul Azim; Vijay Sundaresan; Yee-Kang Chang (ICPE (Companion), 2025)

Algorithmic Approaches to Enhance Safety in Autonomous Vehicles: Minimizing Lane Changes and Merging. - Seyed Moein Abtahi; Akramul Azim (CoRR, 2025)

SecureLLAMA: Secure FPGAs Using LLAMA Large Language Models. - Mansour Alqarni; Akramul Azim (IEEE Trans. Artif. Intell., 2025)