PUBLICATIONS

Mansi Sahi, Nitin Auluck, Akramul Azim, Pooja Bhardwaj and Md Al Maruf, “Data Driven Deep Neural Network Based Task Offloading on Edge Cloud Continuum”, in IEEE Transactions on Network and Service Management, 2026

Amin Avan, Akramul Azim, Qusay H. Mahmoud, Accelerated Reinforcement Learning for Real-Time Task Scheduling in Edge Computing Environments. 29th International Symposium on Real-Time Distributed Computing (ISORC) 2026

Abdul Wahab*, Akramul Azim (2026). Model-Driven Automation of Cyber-Physical Systems via AADL and LLMs

Seyed Moein Abtahi*, Akramul Azim (2026). NGQA: Next-Gen Software Quality Accelerator using AI Agents and LLM Reasoning

Paria Sarzaeim, Akramul Azim, Gary Bauer, Masoud Makrehchi, “A Survey of Domain-Specific Fine-Tuned Large Language Models”. IEEE Access, 2026.

Pooja Bhardwaj, Nitin Auluck, Akramul Azim, “PLUTO: Platooning through Uncertainty-aware Task Offloading”. 2026.

Maher Muhtadi*, Qusay H. Mahmoud, Akramul Azim (2026). Adaptive Self-Prompting in Agentic LLM Frameworks for Code Fault Detection

Ajwad Abrar and Akramul Azim, An Empirical Study on Emerging Tools, Challenges, and Software Metrics Practices in Fast-Growing Developing Countries, ICSE 2026 SEiGS

Md Hasan Saju and Akramul Azim, Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing, Canadian AI, 2026

Seyed Moein Abtahi*, Majid Fekri, Tara Khani, Akramul Azim (2025). From HNSW to Information-Theoretic Binarization: Rethinking the Architecture of Scalable Vector Search

Mansour Alqarni, Akramul Azim, “An Advanced Detection Framework for Embedded System Vulnerabilities”. IEEE Access 13: 159207-159216 (September 2025)

Seyed Moein Abtahi*, Akramul Azim (2025). WALL: A Web Application for Automated Quality Assurance using Large Language Models

Mohammad Abu Obaida Mullick, Rejuyan Ahmed, Md. Motaharul Islam, Muhammad Nazrul Islam, Akramul Azim, Bader Fahad Alkhamees, Mohammad Mehedi Hassan, “Sentiment Dynamics of Graduating Students-to-Employees Transitions: A Paired Sample LLM-Based Analysis of Expectations and Real-World Experiences”. IEEE Access, October 2025

Mansour Alqarni * and Akramul Azim. (2025). Real-Time Detection of Bitstream Vulnerabilities in FPGAs. 28th International Symposium On Real-Time Distributed Computing (ISORC2025)

Ashadullah Shawon, Ramiro Liscano, Akramul Azim, Vijay Sundaresan, Yee-Kang Chang. (2025). Retrieval Augmented Generation Fine-Tuned LLM Model for Code Recommendations to Mitigate Lock Contention. ACM/SPEC International Conference on Performance Engineering (ICPE), 2025

Seyed Moein Abtahi and Akramul Azim. (2025). Securing LLM Generated Embedded Firmware through AI Agent Driven Validation and Patching. IEEE International Conference on Collaborative Advances in Software and Computing (CASCON 2025)

Hyon Lee, Akramul Azim(2025). Energy Load Forecasting for OCPP-Compliant EV Charging Infrastructure Using Machine Learning. 35th IEEE International Conference on Collaborative Advances in Software and Computing (CASCON 2025)

Md Hasan Saju, Austin Page, Akramul Azim, Jeff Gardiner, Frank Eargle, and Farzaneh Abazari. (2025). SynRAG: A Large Language Model Framework for Executable Query Generation in Heterogeneous SIEM Systems. IEEE International Conference on Collaborative Advances in Software and Computing (CASCON 2025)

Amin Avan, Akramul Azim, and Qusay Mahmoud(2025). A-MARL: Agile Multi-Agent Reinforcement Learning for Soft Real-Time Task Scheduling in Edge Computing, 35th IEEE International Conference on Collaborative Advances in Software and Computing (CASCON 2025)

Seyed Moein Abtahi, Akramul Azim (2025). Algorithmic Approaches to Enhance Safety in Autonomous Vehicles: Minimizing Lane Changes and Merging. 2025 IEEE International Conference on High Performance Computing and Communications (HPCC), 2025

A Talha Talukder, Omar Alam, Akramul Azim: Leveraging LLMs for Automatic Feature Extraction in Embedded Systems to Support Software Reuse. IRI 2025

Jenish Gajera, Farhaan Mohamed, Akramul Azim, A Predictable and Real-Time Electric Vehicle Charging Framework with a Dynamic Protection System, 21st IEEE International Conference on Embedded Software and Systems (ICESS-2025

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

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

Md Hasan Saju*, Austin Page, Akramul Azim, Jeff Gardiner, Frank Eargle, and Farzaneh Abazari (2025). SynRAG: A Large Language Model Framework for Executable Query Generation in Heterogeneous SIEM Systems

Md Hasan Saju*, Maher Muhtadi, Akramul Azim(2025). An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent Systems

Francisca Donoso*, Nelson Salvador, Gonzalo Carvajal, Akramul Azim(2025). JETROS: A Scalable Robotic Testbed for Experimental Evaluation of Algorithms for Cooperative Vehicle Platooning

Amin Avan*, Akramul Azim, and Qusay Mahmoud(2025). A-MARL: Agile Multi-Agent Reinforce- ment Learning for Soft Real-Time Task Scheduling in Edge Computing

Seyed Moein Abtahi*, Akramul Azim(2025). Securing LLM Generated Embedded Firmware through AI Agent Driven Validation and Patching

Hyon Lee*, Akramul Azim(2025). Energy Load Forecasting for OCPP-Compliant EV Charging Infrastructure Using Machine Learning

Yara Mahmoud*, Asma Fariha, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Gkerta Seferi and Qasim Tauseef(2025). Optimizing Test Case Reduction in CI/CD Pipelines using Integer Linear Programming

Amin Avan*, Akramul Azim, and Qusay Mahmoud(2025). Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing

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

Seyed Moein Abtahi*, and Akramul Azim. (2024). Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements.

Md Hasan Saju*, Sanaa A. Alwidian, Partha Mazumder, and Akramul Azim. (2024). A Structured Approach to Accessibility in the Software Development Lifecycle.

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

Paria Sarzaeim, Qusay H Mahmoud, Akramul Azim, Gary Bauer, Ian Bowles (2023). A systematic review of using machine learning and natural language processing in smart policing.

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

Md Al Maruf*, Akramul Azim, Nitin Auluck, and Mansi Sahi. (2024). Optimizing DNN Training with Pipeline Model Parallelism for Enhanced Performance in Embedded Systems.

Paria Sarzaeim*, Qusay Mahmoud, and Akramul Azim. (2024). A Framework for LLM-Assisted Smart Policing System.

Mansi Sahi, Nitin Auluck, Akramul Azim, and Md Al Maruf*. (2024). Dynamic Hierarchical Intrusion Detection Task Offloading in IoT Edge Networks.

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

Aritra Ahmed*, Ramiro Liscano, and Akramul Azim. (2024). Identification of Java Lock Contention Anti-patterns Based on Run-time Performance Data.

Md. A. Maruf*, Akramul Azim, Nitin Auluck, and Mansi Sahi. (2024). FeaMod: Enhancing Modularity, Adaptability, and Code Reuse in Embedded Software Development.

Md Al Maruf* and Akramul Azim. (2024). Anomaly Detection and Functional Testing for Automotive CAN Communication.

Vaishali Siddeshwar, Akramul Azim, Sanaa Alwidian, and Masoud Makrehchi. (2024). Towards Enhancing Aviation Safety through Advanced Incident Analysis Using Large Language Models.

Ashadullah Shawon*, Ramiro Liscano, Akramul Azim, Vijay Sundaresan, and Yee-Kang Chang. (2024). FaultLLAMA2: A Fine-Tuned Large Language Model for Code Recommendations to Reduce Java Lock Contention.

Md Al Maruf* and Akramul Azim. (2024). ESOps – An Agile Pipeline for Next-Generation Embedded Systems Development.

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

Pooja Bhardwaj, Nitin Auluck, and Akramul Azim. (2024). Machine Learning Powered Workload Prediction and Task Offloading in Vehicular Networks.

Maria J. Peixoto* and Akramul Azim. (2024). Explainable Artificial Intelligence (XAI) Approach for Reinforcement Learning Systems.

Joelma Peixoto* and Akramul Azim. (2023). Design and development of a machine learning-based task orchestrator for intelligent systems on edge networks.

Amin Avan*, Akramul Azim, and Qusay H. Mahmoud. (2023). A State-of-the-Art Review of Task Scheduling for Edge Computing: A Delay-Sensitive Application Perspective.

Aakash Gangolli*, Qusay Mahmoud, and Akramul Azim. (2023). A Systematic Review of Fault Injection Attacks on IoT Systems.

Muhammad Hayyan Bin Shahid* and Akramul Azim. (2023). Ensemble Method For Fault Detection & Classification in Transmission Lines Using ML.

Asma Fariha*, Sanaa Alwidian, and Akramul Azim. (2023). Towards Requirements Specification Collaboration Forum for Embedded Software Systems.

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

Md Al Maruf*, Akramul Azim, and Nitin Auluck. (2023). Automated Features and Requirements Identification for Improving CPS Software Reuse using Topic Modeling.

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

Ramiro Liscano, Aritra Ahmed*, Joseph Robertson*, Akramul Azim, Vijay Sundaresan, and Yee-Kang Chang. (2023). A Lock Contention Classifier based on Java Lock Contention Anti-patterns.

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

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

Md Al Maruf* and Akramul Azim. (2023). Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices.

Anukruthi Karre* and Akramul Azim. (2023). Collision Detection in Smart-Cities by using Co-Simulation.

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

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

Md Al Maruf*, Akramul Azim, and Omar Alam. (2022). Facilitating Reuse of Functions in Embedded Software.

Maria J. Peixoto* and Akramul Azim. (2022). Improving Environmental Awareness for Autonomous Vehicles.

Aakash Gangolli*, Qusay H. Mahmoud, and Akramul Azim. (2022). A Supervised Machine Learning Framework to Detect Low-Level Fault Injection in Software Systems.

Rezwana Mamata* and Akramul Azim. (2022). A Resource-Aware Optimization Model for Real-time Systems Analysis and Design.

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

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

Mansour Alqarni* and Akramul Azim. (2022). EVDD – A Novel Dataset For Embedded System Vulnerability Detection Mechanism.

Nayreet Islam* and Akramul Azim. (2022). ESCA: Embedded System Configuration Assistant.

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

Anukruthi Karre* and Akramul Azim. (2022). Design and Development of ML-Based Safety Critical Fire Detection System.

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

Mansour Alqarni* and Akramul Azim. (2022). Mining Large Data to Create a Balanced Vulnerability Detection Dataset for Linux Embedded Systems.

Mansour Alqarni* and Akramul Azim. (2022). Low Level Source Code Vulnerability Detection Using Advanced BERT Language Model.

Akramul Azim and Md. Al Maruf*. (2022). Cognitive Mobile Computing for Cyber-Physical Systems.

Md. Al Maruf*, Anil Singh, Akramul Azim, and Nitin Auluck. (2021). Faster Fog Computing based Over-the-air Vehicular Updates: A Transfer Learning Approach.

Suzanne Elashri* and Akramul Azim. (2021). An Energy-Efficient Periodic Resource Model for Bounded Delay-Tolerant Real-Time Systems.

Mansour Alqarni* and Akramul Azim. (2021). Software Source Code Vulnerability Detection Using Advanced Deep Convolutional Neural Networks.

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

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

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

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

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

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

Suzanne Elashri* and Akramul Azim. (2021). An Energy-Aware Optimization Model for Real-Time Systems Analysis and Design (WiP paper).

Bradley Wood* and Akramul Azim. (2021). Triton: a Domain Specific Language for Cyber-Physical Systems.

Deepak Saggu* and Akramul Azim. (2021). Transfer Learning on the Edge Networks.

Bradley Wood* and Akramul Azim. (2021). A Novel Technique for Control Flow Obfuscation in JVM Applications using Invoke Dynamic with Native Bootstrapping.

Md Al Maruf* and Akramul Azim. (2020). A calibration framework to increase the robustness of embedded systems.

Mellitus Ezeme*, Qusay Mahmoud, and Akramul Azim. (2020). PESKEA: Anomaly detection framework for profiling kernel event attributes in embedded systems.

Darren Saguil* and Akramul Azim. (2020). A layer-partitioning approach for faster execution of neural network based embedded applications in edge networks.

Md Al Maruf* and Akramul Azim. (2020). Requirements-preserving design automation for multiprocessor embedded system applications.

Mellitus Ezeme*, Qusay Mahmoud, and Akramul Azim. (2020). AD-CGAN: Conditional Generative Adversarial Networks for Anomaly Detection.

Bradley Wood*, Brock Watling, Zachary Winn, Daniel Messiha, Qusay Mahmoud, and Akramul Azim. (2020). Remote method delegation: a platform for grid computing.

Nayreet Islam* and Akramul Azim. (2020). A situation-aware task model for adaptive real-time systems.

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

Maria J. Peixoto* and Akramul Azim. (2020). Context-based learning for autonomous vehicles.

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

Md Al Maruf*, Akramul Azim, and Sourojit Mukherjee*. (2020). Mushroom Demand Prediction Using Machine Learning Algorithms.

Samridhi, Ramiro Liscano, Akramul Azim, and Abdul Zainul Abedin. (2020). Failure Scenarios for SIP/RTP services in Container Orchestration Clusters.

Suzanne Elashri* and Akramul Azim. (2020). Energy-efficient offloading of real-time tasks using cloud computing.

Mellitus Ezeme*, Qusay Mahmoud, and Akramul Azim. (2020). A Framework for anomaly detection in time-driven and event-driven processes using kernel traces.

Kaneez Fizza*, Nitin Auluck, and Akramul Azim. (2019). Improving the schedulability of real-time tasks using fog computing.

Md Al Maruf* and Akramul Azim. (2019). Extending resources for avoiding overloads of mixed-criticality tasks in cyber-physical systems.

Mellitus Ezeme*, Qusay Mahmoud, and Akramul Azim. (2019). DReAM: Deep recursive attentive model for anomaly detection in kernel events.

Nayreet Islam* and Akramul Azim. (2019). Feature Characterization for CPS Software Reuse.

Mellitus Ezeme*, Qusay Mahmoud, and Akramul Azim. (2019). A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing.

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

Akramul Azim. (2019). Delay Bound Function for Cyber-Physical Systems.

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

Mellitus Ezeme*, Qusay Mahmoud, and Akramul Azim. (2019). DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes.

Nayreet Islam* and Akramul Azim. (2018). A multi-mode real-time system verification model using efficient event-driven dataset.

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

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

Mellitus Ezeme*, Qusay Mahmoud, and Akramul Azim. (2018). Hierarchical Attention-Based Anomaly Detection Model for Embedded Operating Systems.

System and method for integration testing.