Akramul Azim

Orcid: 0000-0002-6292-6939

According to our database1, Akramul Azim authored at least 107 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A multi-mode real-time system verification model using efficient event-driven dataset.
J. Ambient Intell. Humaniz. Comput., February, 2024

Dynamic hierarchical intrusion detection task offloading in IoT edge networks.
Softw. Pract. Exp., 2024

Optimizing DNN training with pipeline model parallelism for enhanced performance in embedded systems.
J. Parallel Distributed Comput., 2024

Uncertainty measurement for complex event prediction in safety-critical systems.
CoRR, 2024

A Framework for LLM-Assisted Smart Policing System.
IEEE Access, 2024

On the Effectiveness of Feature Selection Techniques in the Context of ML-Based Regression Test Prioritization.
IEEE Access, 2024

A Systematic Literature Review on Requirements Engineering and Maintenance for Embedded Software.
IEEE Access, 2024

Anomaly Detection and Functional Testing for Automotive CAN Communication.
Proceedings of the IEEE International Systems Conference, 2024

Explainable Artificial Intelligence (XAI) Approach for Reinforcement Learning Systems.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

TCPGraphix: A Visualization Tool for ML-Powered Test Case Prioritization Data Analysis.
Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

An End-to-End Test Case Prioritization Framework using Optimized Machine Learning Models.
Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

Automated SQA Framework with Predictive Machine Learning in Airfield Software.
Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

Replay-Based Continual Learning for Test Case Prioritization.
Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

Java lock contention anti-patterns and their associated recommendations.
Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

Log Anomaly Detection by Leveraging LLM-Based Parsing and Embedding with Attention Mechanism.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

Machine Learning-based Test Case Prioritization using Hyperparameter Optimization.
Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024), 2024

Identification of Java lock contention anti-patterns based on run-time performance data.
Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024), 2024

2023
A Systematic Review of Using Machine Learning and Natural Language Processing in Smart Policing.
Comput., December, 2023

Improving environmental awareness for autonomous vehicles.
Appl. Intell., 2023

Design and Development of a Machine Learning-Based Task Orchestrator for Intelligent Systems on Edge Networks.
IEEE Access, 2023

Ensemble Method For Fault Detection & Classification in Transmission Lines Using ML.
Proceedings of the IEEE International Systems Conference, 2023

A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Towards Requirements Specification Collaboration Forum for Embedded Software Systems.
Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2023

A Novel Predictive Modelling Approach Towards a Spatiotemporal Traffic Safety Index.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A collaborative and distributed task management system for real-time systems.
Proceedings of the 26th IEEE International Symposium on Real-Time Distributed Computing, 2023

A Robust Scheduling Algorithm for Overload-Tolerant Real-Time Systems.
Proceedings of the 26th IEEE International Symposium on Real-Time Distributed Computing, 2023

Towards Safe Online Machine Learning Model Training and Inference on Edge Networks.
Proceedings of the International Conference on Machine Learning and Applications, 2023

A Lock Contention Classifier Based on Java Lock Contention Anti-Patterns.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Automated Features and Requirements Identification for Improving CPS Software Reuse using Topic Modeling.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

An edge computing-based monitoring framework for situation-aware embedded real-time systems.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

Test Case Prioritization using Transfer Learning in Continuous Integration Environments.
Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023

Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022
Faster Fog Computing Based Over-the-Air Vehicular Updates: A Transfer Learning Approach.
IEEE Trans. Serv. Comput., 2022

Improving the Schedulability of Real-Time Tasks Using Fog Computing.
IEEE Trans. Serv. Comput., 2022

A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes Using Kernel Traces.
IEEE Trans. Knowl. Data Eng., 2022

Facilitating Reuse of Functions in Embedded Software.
IEEE Access, 2022

A Machine Learning Based Approach to Detect Fault Injection Attacks in IoT Software Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Lock Contention Performance Classification for Java Intrinsic Locks.
Proceedings of the Runtime Verification - 22nd International Conference, 2022

EVDD - A Novel Dataset For Embedded System Vulnerability Detection Mechanism.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Real-Time Jaywalking Detection and Notification System using Deep Learning and Multi-Object Tracking.
Proceedings of the IEEE Global Communications Conference, 2022

Work-in-Progress: A Resource-Aware Optimization Model for Real-Time Systems Analysis and Design.
Proceedings of the International Conference on Embedded Software, 2022

Failure Prediction using Transfer Learning in Large-scale Continuous Integration Environments.
Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

A Machine Learning Approach to Predict System-Level Threats from Hardware-Based Fault Injection Attacks on IoT Software.
Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

Workshop: Machine Learning in Software Quality.
Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

Mining Large Data to Create a Balanced Vulnerability Detection Dataset for Embedded Linux System.
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022

An Intelligent Traffic Monitoring Embedded System using Video Data Mining.
Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

Low Level Source Code Vulnerability Detection Using Advanced BERT Language Model.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021
PESKEA: Anomaly Detection Framework for Profiling Kernel Event Attributes in Embedded Systems.
IEEE Trans. Emerg. Top. Comput., 2021

Requirements-preserving design automation for multiprocessor embedded system applications.
J. Ambient Intell. Humaniz. Comput., 2021

An Energy-Efficient Periodic Resource Model for Bounded Delay-Tolerant Real-Time Systems.
IEEE Access, 2021

Transfer Learning on the Edge Networks.
Proceedings of the IEEE International Systems Conference, 2021

Wireless and autonomous safety-critical system utilizing feedback.
Proceedings of the IEEE International Systems Conference, 2021

A Framework for Partitioning Support Vector Machine Models on Edge Architectures.
Proceedings of the IEEE International Conference on Smart Computing, 2021

Dynamic Kalman filter-based velocity tracker for Intelligent vehicle.
Proceedings of the IECON 2021, 2021

Triton: a Domain Specific Language for Cyber-Physical Systems.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

A Feature-Based Machine Learning Approach for Mixed-Criticality Systems.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

A Microservice-Based Architecture for Performance and Energy Benchmarking of Docker-Host Linux Distributions on Internet-of-Things Devices.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

Supporting SIP Port Mapping and RTP Affinity Constraints in Container Orchestration Environments.
Proceedings of the 24th Conference on Innovation in Clouds, 2021

Using time-correlated noise to encourage exploration and improve autonomous agents performance in Reinforcement Learning.
Proceedings of the 18th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2021) / The 16th International Conference on Future Networks and Communications (FNC-2021) / The 11th International Conference on Sustainable Energy Information Technology, 2021

An energy-aware optimization model for real-time systems analysis and design: work-in-progress.
Proceedings of the EMSOFT '21: Proceedings of the 2021 International Conference on Embedded Software, Virtual Event, October 8, 2021

A novel technique for control flow obfuscation in JVM applications using InvokeDynamic with native bootstrapping.
Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

Failure prediction using machine learning in IBM WebSphere liberty continuous integration environment.
Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

Software source code vulnerability detection using advanced deep convolutional neural network.
Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

2020
A situation-aware task model for adaptive real-time systems.
J. Ambient Intell. Humaniz. Comput., 2020

A software-based calibration approach to increase the robustness of embedded systems.
Int. J. Embed. Syst., 2020

Extending resources for avoiding overloads of mixed-criticality tasks in cyber-physical systems.
IET Cyper-Phys. Syst.: Theory & Appl., 2020

Remote Method Delegation: a Platform for Grid Computing.
J. Grid Comput., 2020

Energy-efficient offloading of real-time tasks using cloud computing.
Clust. Comput., 2020

A Layer-Partitioning Approach for Faster Execution of Neural Network-Based Embedded Applications in Edge Networks.
IEEE Access, 2020

Design and Development of AD-CGAN: Conditional Generative Adversarial Networks for Anomaly Detection.
IEEE Access, 2020

Context-based learning for autonomous vehicles.
Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020

Container-Based Internet-of-Things Architecture Pattern: Kill Switch.
Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020

A Situation-Aware Adaptation Framework for Intelligent Transportation Systems.
Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020

Failure Scenarios for SIP/RTP services in Container Orchestration Clusters.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020

Resource efficient allocation of fog nodes for faster vehicular OTA updates.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020

Mushroom Demand Prediction Using Machine Learning Algorithms.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020

2019
DReAM: Deep Recursive Attentive Model for Anomaly Detection in Kernel Events.
IEEE Access, 2019

Faster OTA Updates in Smart Vehicles using Fog Computing.
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019

Time-efficient offloading for machine learning tasks between embedded systems and fog nodes.
Proceedings of the IEEE 22nd International Symposium on Real-Time Distributed Computing, 2019

A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Feature characterization for CPS software reuse.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

Delay-bound function for cyber-physical systems: work-in-progress.
Proceedings of the International Conference on Embedded Software Companion, 2019

DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Hierarchical Attention-Based Anomaly Detection Model for Embedded Operating Systems.
Proceedings of the 24th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2018

Software-based Monitoring for Calibration of Measurement Units in Real-time Systems.
Proceedings of the IECON 2018, 2018

Assuring the runtime behavior of self-adaptive cyber-physical systems using feature modeling.
Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018

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

CARTS: Constraint-based analytics from real-time system monitoring.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A framework for extending resources of embedded systems using the Cloud.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

An Imputation-based Augmented Anomaly Detection from Large Traces of Operating System Events.
Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, 2017

2016
A new dynamic service span-based energy comparison LEACH for achieving expected WSNs lifetime.
Int. J. Inf. Commun. Technol., 2016

Overloads in compositional embedded real-time control systems.
Proceedings of the 2016 International Symposium on Rapid System Prototyping, 2016

Efficient mode changes in multi-mode systems.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

Analyzing consensus in multi-mode real-time communication using history information.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016

2015
Generation of communication schedules using component interfaces.
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015

2014
Scheduling of Overload-Tolerant Computation and Multi-Mode Communication in Real-Time Systems.
PhD thesis, 2014

DTS: Dynamic TDMA scheduling for Networked Control Systems.
J. Syst. Archit., 2014

Efficient Jammed Area Mapping in Wireless Sensor Networks.
IEEE Embed. Syst. Lett., 2014

D-RES: Correct transitive distributed service sharing.
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014

Generation of communication schedules for multi-mode distributed real-time applications.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

2013
An Efficient Periodic Resource Supply Model for Workloads with Transient Overloads.
Proceedings of the 25th Euromicro Conference on Real-Time Systems, 2013

2012
CSS: Conditional State-Based Scheduling for Networked Control Systems.
Proceedings of the 2012 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2012

Deterministic cluster head selection for wireless sensor networks.
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012

2011
Resolving state inconsistency in distributed fault-tolerant real-time dynamic TDMA architectures.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

2010
Dynamic service policy-based clustered wireless sensor networks.
Proceedings of the IEEE 6th International Conference on Wireless and Mobile Computing, 2010

Design Choices for High-Confidence Distributed Real-Time Software.
Proceedings of the Leveraging Applications of Formal Methods, Verification, and Validation, 2010

Semantics-preserving implementation of synchronous specifications over dynamic TDMA distributed architectures.
Proceedings of the 10th International conference on Embedded software, 2010


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