A Novel Hybrid Swarm Intelligence Algorithm Combining Modified Artificial Bee Colony and Firefly Algorithms. - Sadman Sakib; Mahzabeen Emu; Syed Mustafizur Rahman Chowdhury; Mohammad Shafiul Alam (IJCCI, 2019)

Ensemble Deep Learning Aided VNF Deployment for IoT Services. - Mahzabeen Emu; Salimur Choudhury (CNSM, 2020)

Assisting the Non-invasive Diagnosis of Liver Fibrosis Stages using Machine Learning Methods. - Mahzabeen Emu; Farjana Bintay Kamal; Salimur Choudhury; Thiago Eustaquio Alves de Oliveira (EMBC, 2020)

Latency Aware VNF Deployment at Edge Devices for IoT Services: An Artificial Neural Network Based Approach. - Mahzabeen Emu; Peizhi Yan; Salimur Choudhury (ICC Workshops, 2020)

Hybridization of Evolutionary and Swarm Intelligence Algorithms for improved performance: A case study with TSP problem. - Nafiul Nawjis; Mohammad Shafiul Alam; Mahzabeen Emu (ICCA, 2020)

IoT Ecosystem on Exploiting Dynamic VNF Orchestration and Service Chaining: AI to the Rescue? - Mahzabeen Emu; Salimur Choudhury (IEEE Internet Things Mag., 2020)

Towards 6G Networks: Ensemble Deep Learning Empowered VNF Deployment for IoT Services. - Mahzabeen Emu; Salimur Choudhury (CCNC, 2021)

DSO: An Intelligent SFC Orchestrator for Time and Resource Intensive Ultra Dense IoT Networks. - Mahzabeen Emu; Salimur Choudhury (ICC, 2021)

Validating Optimal COVID-19 Vaccine Distribution Models. - Mahzabeen Emu; Dhivya Chandrasekaran; Vijay Mago; Salimur Choudhury (ICCS (1), 2021)

Ensemble Deep Learning Assisted VNF Deployment Strategy for Next-Generation IoT Services. - Mahzabeen Emu; Salimur Choudhury (IEEE Open J. Comput. Soc., 2021)

Resource Optimization of SFC Embedding for IoT Networks Using Quantum Computing. - Mahzabeen Emu; Salimur Choudhury; Kai Salomaa (CAMAD, 2022)

Optimal Models for Distributing Vaccines in a Pandemic. - Md Yeakub Hassan; Mahzabeen Emu; Zubair Md Fadlullah; Salimur Choudhury (ICORES, 2022)

Task Offloading in Mobile Edge Computing: Intractability and Proposed Approaches. - Xing Tan 002; Mahzabeen Emu; Salimur Choudhury (WI/IAT, 2022)

Quantum Computing Empowered Metaverse: An Approach for Resource Optimization. - Mahzabeen Emu; Salimur Choudhury; Kai Salomaa (ICC, 2023)

Quantum Neural Networks driven Stochastic Resource Optimization for Metaverse Data Marketplace. - Mahzabeen Emu; Salimur Choudhury; Kai Salomaa (NetSoft, 2023)

Algorithm Package of AI-Driven SDN Controller-Switch Load Balancing Strategies. - Mahzabeen Emu; Md Yeakub Hassan; Zubair Md Fadlullah; Salimur Choudhury (SSCI, 2023)

Automated Scheduling for Thematic Coherence in Conferences. - Mahzabeen Emu; Tasnim Ahmed; Salimur Choudhury (AIware, 2024)

Robust Virtual Network Function Optimization Under Post-Failure Uncertainty: Classical & Quantum Computing. - Mahzabeen Emu; Salimur Choudhury; Kai Salomaa (DRCN, 2024)

Next-Generation Vehicle Platooning: Leveraging Quantum Long Short-Term Memory Networks. - Mahzabeen Emu; Taufiq Rahman; Salimur Choudhury; Kai Salomaa (QCE, 2024)

Warm and Cold Start Quantum Annealing for Metaverse Resource Optimization. - Mahzabeen Emu; Salimur Choudhury; Kai Salomaa (IEEE Open J. Commun. Soc., 2024)

Stochastic Resource Optimization for Metaverse Data Marketplace by Leveraging Quantum Neural Networks. - Mahzabeen Emu; Salimur Choudhury; Kai Salomaa (IEEE Trans. Netw. Serv. Manag., 2024)

Quantum Long Short-Term Memory-Assisted Optimization for Efficient Vehicle Platooning in Connected and Autonomous Systems. - Mahzabeen Emu; Taufiq Rahman; Salimur Choudhury; Kai Salomaa (IEEE Open J. Comput. Soc., 2025)