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2020 – today
- 2024
[j28]Paria Sarzaeim
, Qusay H. Mahmoud, Akramul Azim:
A Framework for LLM-Assisted Smart Policing System. IEEE Access 12: 74915-74929 (2024)- [j27]Asma Fariha, Sanaa A. Alwidian, Akramul Azim:
A Systematic Literature Review on Requirements Engineering and Maintenance for Embedded Software. IEEE Access 12: 114263-114279 (2024) - [j26]Md. Asif Khan, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Gkerta Seferi, Qasim Tauseef:
On the Effectiveness of Feature Selection Techniques in the Context of ML-Based Regression Test Prioritization. IEEE Access 12: 131556-131575 (2024) - [j25]Nayreet Islam, Akramul Azim:
A multi-mode real-time system verification model using efficient event-driven dataset. J. Ambient Intell. Humaniz. Comput. 15(2): 1187-1200 (2024) - [j24]Md. Al Maruf, Akramul Azim, Nitin Auluck, Mansi Sahi:
Optimizing DNN training with pipeline model parallelism for enhanced performance in embedded systems. J. Parallel Distributed Comput. 190: 104890 (2024) - [j23]Mansi Sahi, Nitin Auluck, Akramul Azim, Md. Al Maruf:
Dynamic hierarchical intrusion detection task offloading in IoT edge networks. Softw. Pract. Exp. 54(11): 2249-2271 (2024) - [c77]Md. Asif Khan, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Qasim Tauseef, Gkerta Seferi:
Machine Learning-based Test Case Prioritization using Hyperparameter Optimization. AST@ICSE 2024: 125-135 - [c76]Aritra Ahmed, Ramiro Liscano, Akramul Azim, Yee-Kang Chang, Vijay Sundaresan:
Identification of Java lock contention anti-patterns based on run-time performance data. AST@ICSE 2024: 209-213 - [c75]Asma Fariha, Vida Gharavian, Masoud Makrehchi, Shahryar Rahnamayan, Sanaa A. Alwidian, Akramul Azim:
Log Anomaly Detection by Leveraging LLM-Based Parsing and Embedding with Attention Mechanism. CCECE 2024: 859-863 - [c74]Md. Asif Khan, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Gkerta Seferi, Qasim Tauseef:
An End-to-End Test Case Prioritization Framework using Optimized Machine Learning Models. ICSTW 2024: 1-8 - [c73]Asma Fariha, Akramul Azim, Ramiro Liscano:
Replay-Based Continual Learning for Test Case Prioritization. ICSTW 2024: 106-107 - [c72]Aritra Ahmed, Ramiro Liscano, Akramul Azim, Yee-Kang Chang, Vijay Sundaresan:
Java lock contention anti-patterns and their associated recommendations. ICSTW 2024: 144-151 - [c71]Ridwan Hossain, Akramul Azim, Linda Cato, Bruce Wilkins:
Automated SQA Framework with Predictive Machine Learning in Airfield Software. ICSTW 2024: 168-177 - [c70]Yara Q. Mahmoud, Akramul Azim, Md. Asif Khan:
TCPGraphix: A Visualization Tool for ML-Powered Test Case Prioritization Data Analysis. ICSTW 2024: 318-321 - [c69]Maria J. P. Peixoto, Akramul Azim:
Explainable Artificial Intelligence (XAI) Approach for Reinforcement Learning Systems. SAC 2024: 971-978 - [c68]Md. Al Maruf, Akramul Azim:
Anomaly Detection and Functional Testing for Automotive CAN Communication. SysCon 2024: 1-8 - 2023
- [j22]Maria J. P. Peixoto, Akramul Azim:
Design and Development of a Machine Learning-Based Task Orchestrator for Intelligent Systems on Edge Networks. IEEE Access 11: 33049-33060 (2023) - [j21]Maria J. P. Peixoto, Akramul Azim:
Improving environmental awareness for autonomous vehicles. Appl. Intell. 53(2): 1842-1854 (2023) - [j20]Paria Sarzaeim, Qusay H. Mahmoud, Akramul Azim, Gary Bauer, Ian Bowles:
A Systematic Review of Using Machine Learning and Natural Language Processing in Smart Policing. Comput. 12(12): 255 (2023) - [c67]Md. Al Maruf, Akramul Azim:
Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices. Canadian AI 2023 - [c66]Rezwana Mamata, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Gkerta Seferi, Qasim Tauseef:
Test Case Prioritization using Transfer Learning in Continuous Integration Environments. AST 2023: 191-200 - [c65]Nayreet Islam, Akramul Azim:
An edge computing-based monitoring framework for situation-aware embedded real-time systems. ICNC 2023: 237-241 - [c64]Md. Al Maruf, Akramul Azim:
Automated Features and Requirements Identification for Improving CPS Software Reuse using Topic Modeling. ICCPS 2023: 262-263 - [c63]Md. Al Maruf, Akramul Azim, Nitin Auluck, Mansi Sahi:
Towards Safe Online Machine Learning Model Training and Inference on Edge Networks. ICMLA 2023: 1082-1089 - [c62]Ramiro Liscano, Aritra Ahmed, Joseph Robertson, Akramul Azim, Vijay Sundaresan, Yee-Kang Chang:
A Lock Contention Classifier Based on Java Lock Contention Anti-Patterns. ICMLA 2023: 1106-1113 - [c61]Amin Avan, Akramul Azim, Qusay H. Mahmoud:
A Robust Scheduling Algorithm for Overload-Tolerant Real-Time Systems. ISORC 2023: 1-10 - [c60]Maria J. P. Peixoto, Akramul Azim:
A collaborative and distributed task management system for real-time systems. ISORC 2023: 117-125 - [c59]Sifatul Mostafi, Asma Fariha, Mohamed El-Darieby, Khalid Elgazzar, Akramul Azim:
A Novel Predictive Modelling Approach Towards a Spatiotemporal Traffic Safety Index. ITSC 2023: 4373-4379 - [c58]Asma Fariha, Sanaa A. Alwidian, Akramul Azim:
Towards Requirements Specification Collaboration Forum for Embedded Software Systems. MoDELS (Companion) 2023: 312-317 - [c57]Amin Avan, Farnaz Kheiri, Qusay H. Mahmoud, Akramul Azim, Masoud Makrehchi, Shahryar Rahnamayan:
A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning. SSCI 2023: 539-546 - [c56]Muhammad Hayyan Bin Shahid, Akramul Azim:
Ensemble Method For Fault Detection & Classification in Transmission Lines Using ML. SysCon 2023: 1-7 - 2022
- [j19]Md. Al Maruf, Akramul Azim, Omar Alam:
Facilitating Reuse of Functions in Embedded Software. IEEE Access 10: 88595-88605 (2022) - [j18]Okwudili M. Ezeme, Qusay H. Mahmoud, Akramul Azim:
A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes Using Kernel Traces. IEEE Trans. Knowl. Data Eng. 34(1): 1-14 (2022) - [j17]Kaneez Fizza, Nitin Auluck, Akramul Azim:
Improving the Schedulability of Real-Time Tasks Using Fog Computing. IEEE Trans. Serv. Comput. 15(1): 372-385 (2022) - [j16]Md. Al Maruf, Anil Singh, Akramul Azim, Nitin Auluck:
Faster Fog Computing Based Over-the-Air Vehicular Updates: A Transfer Learning Approach. IEEE Trans. Serv. Comput. 15(6): 3245-3259 (2022) - [c55]Mansour Alqarni, Akramul Azim:
Low Level Source Code Vulnerability Detection Using Advanced BERT Language Model. Canadian AI 2022 - [c54]Maria J. P. Peixoto, Akramul Azim, Jim Sheehan, Dan Timothy:
An Intelligent Traffic Monitoring Embedded System using Video Data Mining. AIPR 2022: 1-6 - [c53]Mansour Alqarni, Akramul Azim:
Mining Large Data to Create a Balanced Vulnerability Detection Dataset for Embedded Linux System. BDCAT 2022: 83-91 - [c52]Aakash Gangolli, Qusay H. Mahmoud, Akramul Azim:
A Machine Learning Approach to Predict System-Level Threats from Hardware-Based Fault Injection Attacks on IoT Software. CASCON 2022: 4-11 - [c51]Rezwana Mamata, Kevin Smith, Akramul Azim, Yee-Kang Chang, Qasim Tauseef, Ramiro Liscano, Gkerta Seferi:
Failure Prediction using Transfer Learning in Large-scale Continuous Integration Environments. CASCON 2022: 193-198 - [c50]Akramul Azim, Kevin Smith:
Workshop: Machine Learning in Software Quality. CASCON 2022: 249-250 - [c49]Rezwana Mamata, Akramul Azim:
Work-in-Progress: A Resource-Aware Optimization Model for Real-Time Systems Analysis and Design. EMSOFT 2022: 9-10 - [c48]Sifatul Mostafi, Weimin Zhao, Sittichai Sukreep, Khalid Elgazzar, Akramul Azim:
Real-Time Jaywalking Detection and Notification System using Deep Learning and Multi-Object Tracking. GLOBECOM 2022: 1164-1168 - [c47]Mansour Alqarni, Akramul Azim, Tegveer Singh:
EVDD - A Novel Dataset For Embedded System Vulnerability Detection Mechanism. ICMLA 2022: 764-769 - [c46]Nahid Hasan Khan, Joseph Robertson, Ramiro Liscano, Akramul Azim, Vijay Sundaresan, Yee-Kang Chang:
Lock Contention Performance Classification for Java Intrinsic Locks. RV 2022: 274-282 - [c45]Aakash Gangolli, Qusay H. Mahmoud, Akramul Azim:
A Machine Learning Based Approach to Detect Fault Injection Attacks in IoT Software Systems. SMC 2022: 2900-2905 - 2021
- [j15]Suzanne Elashri, Akramul Azim:
An Energy-Efficient Periodic Resource Model for Bounded Delay-Tolerant Real-Time Systems. IEEE Access 9: 67838-67849 (2021) - [j14]Md. Al Maruf, Akramul Azim:
Requirements-preserving design automation for multiprocessor embedded system applications. J. Ambient Intell. Humaniz. Comput. 12(1): 821-833 (2021) - [j13]Okwudili M. Ezeme, Akramul Azim, Qusay H. Mahmoud:
PESKEA: Anomaly Detection Framework for Profiling Kernel Event Attributes in Embedded Systems. IEEE Trans. Emerg. Top. Comput. 9(2): 957-971 (2021) - [c44]Md. Asif Khan, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Sylvain Garcon, Qasim Tauseef:
Failure prediction using machine learning in IBM WebSphere liberty continuous integration environment. CASCON 2021: 63-72 - [c43]Mansour Alqarni, Akramul Azim:
Software source code vulnerability detection using advanced deep convolutional neural network. CASCON 2021: 226-231 - [c42]Bradley Wood, Akramul Azim:
A novel technique for control flow obfuscation in JVM applications using InvokeDynamic with native bootstrapping. CASCON 2021: 232-236 - [c41]Suzanne Elashri, Akramul Azim:
An energy-aware optimization model for real-time systems analysis and design: work-in-progress. EMSOFT 2021: 45-46 - [c40]Maria J. P. Peixoto, Akramul Azim:
Using time-correlated noise to encourage exploration and improve autonomous agents performance in Reinforcement Learning. FNC/MobiSPC 2021: 85-92 - [c39]Ramiro Liscano, Samridhi, Akramul Azim, Nahid Hasan Khan, Abdul Zainul Abedin, Brian Pulito, Yee-Kang Chang:
Supporting SIP Port Mapping and RTP Affinity Constraints in Container Orchestration Environments. ICIN 2021: 13-19 - [c38]Nelson Vithayathil Varghese, Akramul Azim, Qusay H. Mahmoud:
A Feature-Based Machine Learning Approach for Mixed-Criticality Systems. ICIT 2021: 699-704 - [c37]David Lennick, Akramul Azim, Ramiro Liscano:
A Microservice-Based Architecture for Performance and Energy Benchmarking of Docker-Host Linux Distributions on Internet-of-Things Devices. ICIT 2021: 705-711 - [c36]Bradley Wood, Akramul Azim:
Triton: a Domain Specific Language for Cyber-Physical Systems. ICIT 2021: 810-816 - [c35]Md. Asif Khan, Tegveer Singh, Akramul Azim, Vivek Burhanpurkar, Rodolphe Perrin:
Dynamic Kalman filter-based velocity tracker for Intelligent vehicle. IECON 2021: 1-6 - [c34]Mansi Sahi, Md. Al Maruf, Akramul Azim, Nitin Auluck:
A Framework for Partitioning Support Vector Machine Models on Edge Architectures. SMARTCOMP 2021: 293-298 - [c33]Thomas Li, Akramul Azim:
Wireless and autonomous safety-critical system utilizing feedback. SysCon 2021: 1-8 - [c32]Deepak Saggu, Akramul Azim:
Transfer Learning on the Edge Networks. SysCon 2021: 1-8 - 2020
- [j12]Darren Saguil, Akramul Azim:
A Layer-Partitioning Approach for Faster Execution of Neural Network-Based Embedded Applications in Edge Networks. IEEE Access 8: 59456-59469 (2020) - [j11]Okwudili M. Ezeme, Qusay H. Mahmoud, Akramul Azim:
Design and Development of AD-CGAN: Conditional Generative Adversarial Networks for Anomaly Detection. IEEE Access 8: 177667-177681 (2020) - [j10]Suzanne Elashri, Akramul Azim:
Energy-efficient offloading of real-time tasks using cloud computing. Clust. Comput. 23(4): 3273-3288 (2020) - [j9]Bradley Wood, Brock Watling, Zachary Winn, Daniel Messiha, Qusay H. Mahmoud, Akramul Azim:
Remote Method Delegation: a Platform for Grid Computing. J. Grid Comput. 18(4): 711-725 (2020) - [j8]Md. Al Maruf, Akramul Azim:
Extending resources for avoiding overloads of mixed-criticality tasks in cyber-physical systems. IET Cyper-Phys. Syst.: Theory & Appl. 5(1): 60-70 (2020) - [j7]Md. Al Maruf, Akramul Azim:
A software-based calibration approach to increase the robustness of embedded systems. Int. J. Embed. Syst. 13(4): 466-475 (2020) - [j6]Nayreet Islam, Akramul Azim:
A situation-aware task model for adaptive real-time systems. J. Ambient Intell. Humaniz. Comput. 11(10): 4249-4259 (2020) - [c31]Md. Al Maruf, Akramul Azim, Sourojit Mukherjee:
Mushroom Demand Prediction Using Machine Learning Algorithms. ISNCC 2020: 1-6 - [c30]Md. Al Maruf, Anil Singh, Akramul Azim, Nitin Auluck:
Resource efficient allocation of fog nodes for faster vehicular OTA updates. ISNCC 2020: 1-6 - [c29]Samridhi, Ramiro Liscano, Akramul Azim, Abdul Zainul Abedin, Brian Pulito, Yee-Kang Chang:
Failure Scenarios for SIP/RTP services in Container Orchestration Clusters. ISNCC 2020: 1-6 - [c28]David Lennick, Akramul Azim, Ramiro Liscano:
Container-Based Internet-of-Things Architecture Pattern: Kill Switch. ISORC 2020: 74-78 - [c27]Nayreet Islam, Akramul Azim:
A Situation-Aware Adaptation Framework for Intelligent Transportation Systems. ISORC 2020: 106-115 - [c26]Maria J. P. Peixoto, Akramul Azim:
Context-based learning for autonomous vehicles. ISORC 2020: 150-151
2010 – 2019
- 2019
- [j5]Mellitus O. Ezeme, Qusay H. Mahmoud, Akramul Azim:
DReAM: Deep Recursive Attentive Model for Anomaly Detection in Kernel Events. IEEE Access 7: 18860-18870 (2019) - [c25]Okwudili M. Ezeme, Michael Lescisin, Qusay H. Mahmoud, Akramul Azim:
DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes. Canadian AI 2019: 549-555 - [c24]Akramul Azim:
Delay-bound function for cyber-physical systems: work-in-progress. EMSOFT Companion 2019: 6 - [c23]Nayreet Islam, Akramul Azim:
Feature characterization for CPS software reuse. ICCPS 2019: 314-315 - [c22]Okwudili M. Ezeme, Qusay H. Mahmoud, Akramul Azim:
A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing. ICMLA 2019: 992-999 - [c21]Darren Saguil, Akramul Azim:
Time-efficient offloading for machine learning tasks between embedded systems and fog nodes. ISORC 2019: 79-82 - [c20]Kaneez Fizza, Nitin Auluck, Akramul Azim, Md. Al Maruf, Anil Singh:
Faster OTA Updates in Smart Vehicles using Fog Computing. UCC Companion 2019: 59-64 - 2018
- [c19]Nayreet Islam, Akramul Azim:
Assuring the runtime behavior of self-adaptive cyber-physical systems using feature modeling. CASCON 2018: 48-59 - [c18]Md. Al Maruf, Akramul Azim:
Software-based Monitoring for Calibration of Measurement Units in Real-time Systems. IECON 2018: 2941-2946 - [c17]Mellitus O. Ezeme, Qusay H. Mahmoud, Akramul Azim:
Hierarchical Attention-Based Anomaly Detection Model for Embedded Operating Systems. RTCSA 2018: 225-231 - 2017
- [j4]Akramul Azim:
Generation of fault-tolerant state-based communication schedules for real-time systems. EURASIP J. Embed. Syst. 2017: 34 (2017) - [c16]Mellitus Ezeme, Akramul Azim, Qusay H. Mahmoud:
An Imputation-based Augmented Anomaly Detection from Large Traces of Operating System Events. BDCAT 2017: 43-52 - [c15]Mohammad S. Jassas, Jortin Mathew, Akramul Azim, Qusay H. Mahmoud:
A framework for extending resources of embedded systems using the Cloud. CCECE 2017: 1-5 - [c14]Nayreet Islam, Akramul Azim:
CARTS: Constraint-based analytics from real-time system monitoring. SMC 2017: 2164-2169 - 2016
- [j3]Mohammad Mahfuzul Islam, Akramul Azim, Golam Sorwar:
A new dynamic service span-based energy comparison LEACH for achieving expected WSNs lifetime. Int. J. Inf. Commun. Technol. 8(2/3): 165-183 (2016) - [c13]Akramul Azim:
Analyzing consensus in multi-mode real-time communication using history information. ETFA 2016: 1-6 - [c12]Akramul Azim, Sebastian Fischmeister:
Efficient mode changes in multi-mode systems. ICCD 2016: 592-599 - [c11]Akramul Azim:
Overloads in compositional embedded real-time control systems. RSP 2016: 51-57 - 2015
- [c10]Akramul Azim, Rodolfo Pellizzoni, Sebastian Fischmeister:
Generation of communication schedules using component interfaces. ETFA 2015: 1-9 - 2014
- [b1]Akramul Azim:
Scheduling of Overload-Tolerant Computation and Multi-Mode Communication in Real-Time Systems. University of Waterloo, Ontario, Canada, 2014 - [j2]Akramul Azim, Sanjid Mahiba, Tarikul Alam Khan Sabbir, Shafayet Ahmad:
Efficient Jammed Area Mapping in Wireless Sensor Networks. IEEE Embed. Syst. Lett. 6(4): 93-96 (2014) - [j1]Xi Chen, Akramul Azim, Xue Liu, Sebastian Fischmeister, Jun Ma:
DTS: Dynamic TDMA scheduling for Networked Control Systems. J. Syst. Archit. 60(2): 194-205 (2014) - [c9]Akramul Azim, Gonzalo Carvajal, Rodolfo Pellizzoni, Sebastian Fischmeister:
Generation of communication schedules for multi-mode distributed real-time applications. DATE 2014: 1-6 - [c8]Augusto Born de Oliveira, Akramul Azim, Sebastian Fischmeister, Ricardo Marau, Luís Almeida:
D-RES: Correct transitive distributed service sharing. ETFA 2014: 1-6 - 2013
- [c7]Akramul Azim, Shreyas Sundaram, Sebastian Fischmeister:
An Efficient Periodic Resource Supply Model for Workloads with Transient Overloads. ECRTS 2013: 249-258 - 2012
- [c6]Akramul Azim, Mohammad Mahfuzul Islam:
Deterministic cluster head selection for wireless sensor networks. CCECE 2012: 1-4 - [c5]Xi Chen, Akramul Azim, Xue Liu, Sebastian Fischmeister:
CSS: Conditional State-Based Scheduling for Networked Control Systems. RTCSA 2012: 78-87 - 2011
- [c4]Akramul Azim, Sebastian Fischmeister:
Resolving state inconsistency in distributed fault-tolerant real-time dynamic TDMA architectures. ETFA 2011: 1-9 - 2010
- [c3]Dumitru Potop-Butucaru, Akramul Azim, Sebastian Fischmeister:
Semantics-preserving implementation of synchronous specifications over dynamic TDMA distributed architectures. EMSOFT 2010: 199-208 - [c2]Sebastian Fischmeister, Akramul Azim:
Design Choices for High-Confidence Distributed Real-Time Software. ISoLA (2) 2010: 327-342 - [c1]Akramul Azim, Mohammad Mahfuzul Islam:
Dynamic service policy-based clustered wireless sensor networks. WiMob 2010: 196-202
Coauthor Index
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