Statistical Multipath Queue-Wise Preemption Routing for ZigBee-Based WSN. - Ihsan Ullah 004; Hee Yong Youn (Wirel. Pers. Commun., 2018)

A novel data aggregation scheme based on self-organized map for WSN. - Ihsan Ullah 004; Hee Yong Youn (J. Supercomput., 2019)

LSTPD: Least Slack Time-Based Preemptive Deadline Constraint Scheduler for Hadoop Clusters. - Ihsan Ullah 004; Muhammad Sajjad Khan; Muhammad Amir; Junsu Kim; Su Min Kim (IEEE Access, 2020)

Particle Swarm Optimization in the Presence of Malicious Users in Cognitive IoT Networks with Data. - Noor Gul; Muhammad Sajjad Khan; Su Min Kim; Marc St-Hilaire; Ihsan Ullah 004; Junsu Kim (Sci. Program., 2020)

Efficient data aggregation with node clustering and extreme learning machine for WSN. - Ihsan Ullah 004; Hee Yong Youn (J. Supercomput., 2020)

Task Classification and Scheduling Based on K-Means Clustering for Edge Computing. - Ihsan Ullah 004; Hee Yong Youn (Wirel. Pers. Commun., 2020)

Intelligent Data Fusion for Smart IoT Environment: A Survey. - Ihsan Ullah 004; Hee Yong Youn (Wirel. Pers. Commun., 2020)

Ego Network-based Virtual Network Embedding Scheme for Revenue Maximization. - Ihsan Ullah 004; Hyun-Kyo Lim; Youn-Hee Han (ICAIIC, 2021)

Feature Correlation-based Data Fusion using Dempster-Shafer Evidence Theory for WSN. - Ihsan Ullah 004; Hyun-Kyo Lim; Youn-Hee Han (ICTC, 2021)

Multisensor Data Fusion Based on Modified Belief Entropy in Dempster-Shafer Theory for Smart Environment. - Ihsan Ullah 004; Joosang Youn; Youn-Hee Han (IEEE Access, 2021)

Federated Reinforcement Learning Acceleration Method for Precise Control of Multiple Devices. - Hyun-Kyo Lim; Ju-Bong Kim; Ihsan Ullah 004; Joo-Seong Heo; Youn-Hee Han (IEEE Access, 2021)

Integration of type-2 fuzzy logic and Dempster-Shafer Theory for accurate inference of IoT-based health-care system. - Ihsan Ullah 004; Hee Yong Youn; Youn-Hee Han (Future Gener. Comput. Syst., 2021)

Task Priority-Based Cached-Data Prefetching and Eviction Mechanisms for Performance Optimization of Edge Computing Clusters. - Ihsan Ullah 004; Muhammad Sajjad Khan; Marc St-Hilaire; Mohammad Faisal; Junsu Kim; Su Min Kim (Secur. Commun. Networks, 2021)

Optimal Task Offloading with Deep Q-Network for Edge-Cloud Computing Environment. - Ihsan Ullah 004; Hyun-Kyo Lim; Yeong-Jun Seok; Youn-Hee Han (ICTC, 2022)

Compound Context-Aware Bayesian Inference Scheme for Smart IoT Environment. - Ihsan Ullah 004; Ju-Bong Kim; Youn-Hee Han (Sensors, 2022)

An Energy-efficient Data Collection Scheme by Mobile Element based on Markov Decision Process for Wireless Sensor Networks. - Ihsan Ullah 004; Chan-Myung Kim; Joo-Seong Heo; Youn-Hee Han (Wirel. Pers. Commun., 2022)

Reinforcement learning-based virtual network embedding: A comprehensive survey. - Hyun-Kyo Lim; Ihsan Ullah 004; Youn-Hee Han; Sang-Youn Kim (ICT Express, 2023)

Optimizing task offloading and resource allocation in edge-cloud networks: a DRL approach. - Ihsan Ullah 004; Hyun-Kyo Lim; Yeong-Jun Seok; Youn-Hee Han (J. Cloud Comput., 2023)

Graph-Powered Reinforcement Learning for Intelligent Task Offloading in Vehicular Networks. - Ihsan Ullah 004; Hyun-Kyo Lim; Yeong-Jun Seok; Naeem Ul Islam; Chang-Hun Ji; Youn-Hee Han (ICAIIC, 2024)

Virtual Network Embedding Based on Hierarchical Cooperative Multiagent Reinforcement Learning. - Hyun-Kyo Lim; Ihsan Ullah 004; Ju-Bong Kim; Youn-Hee Han (IEEE Internet Things J., 2024)

Advanced Virtual Network Embedding: Combining Graph Attention Network and DRL for Optimal Resource Utilization. - Ihsan Ullah 004; Qaisar Ali; Muhammad Ashraf; Youn-Hee Han (ICAIIC, 2025)

Accelerating Convergence in Distributed Reinforcement Learning via Asynchronous PPO. - Asel Nurlanbek Kyzy; Chang-Hun Ji; Yohan Choi; Yeong-Jun Seok; Ihsan Ullah 004; Youn-Hee Han (ICAIIC, 2025)

Optimizing vehicular edge computing: graph-based double-DQN approaches for intelligent task offloading. - Ihsan Ullah 004; Youn-Hee Han (J. Supercomput., 2025)