Publications

International Journals

1.  Gan Huang, Ihsan Ullah, Hanyao Huang, Kyung Tae Kim. Predictive mobility and cost-aware flow placement in SDN-based IoT networks: a Q-learning approach. Springer Journal of cloud computing (2024)

2. Lim, H. K., Ullah, I., Kim, J. B., & Han, Y. H.  "Virtual Network Embedding Based on Hierarchical Cooperative Multi-Agent Reinforcement Learning." IEEE Internet of Things Journal (2023). 

3.  I. Ullah., Lim, H. K., Seok, Y. J., & Han, Y. H. Optimizing Task Offloading and Resource Allocation in Edge-Cloud Networks: A DRL Approach . Springer Journal of cloud computing (2023)

4.  Lim, H. K., Ullah, I., Han, Y. H., & Kim, S. Y. Lim, Hyun-Kyo, et al. "Reinforcement learning-based virtual network embedding: A comprehensive survey." ICT Express (2023).Ullah, Ihsan, Ju-Bong Kim, and Youn-Hee Han. "Compound Context-Aware Bayesian Inference Scheme for Smart IoT Environment." Sensors 22.8 (2022): 3022. 

5. Ullah, Ihsan, et al. "An Energy-efficient Data Collection Scheme by Mobile Element based on Markov Decision Process for Wireless Sensor Networks." Wireless Personal Communications 123.3 (2022): 2283-2299. 

6. I. Ullah, H. Y. Youn, and Y.-H. Han, “Integration of type-2 fuzzy logic and Dempster–Shafer Theory for accurate inference of IoT-based health-care system,” Future Gener. Comput. Syst., vol. 124, pp. 369–380, Nov. 2021, doi: 10.1016/j.future.2021.06.012. 

7. H. -K. Lim, J. -B. Kim, I. Ullah, J. -S. Heo and Y. -H. Han, "Federated Reinforcement Learning Acceleration method for Precise Control of Multiple Devices," in IEEE Access, vol. 9, pp. 76296-76306, 2021, doi: 10.1109/ACCESS.2021.3083087. 

8. I. Ullah, M. S. Khan, M. St-Hilaire, M. Faisal, J. Kim, and S. M. Kim, “Task Priority-Based Cached-Data Prefetching and Eviction Mechanisms for Performance Optimization of Edge Computing Clusters,” Security and Communication Networks, vol. 2021, p. 5541974, Mar. 2021, doi: 10.1155/2021/5541974. 

9. I. Ullah, J. Youn and Y. -H. Han, "Multisensor Data Fusion Based on Modified Belief Entropy in Dempster–Shafer Theory for Smart Environment," in IEEE Access, vol. 9, pp. 37813-37822, 2021,  https://doi.org/10.1109/ACCESS.2021.3063242

10. Ihsan Ullah, Hee Yong Youn & Youn-Hee Han. “An Efficient Data Aggregation and Outlier Detection Scheme based on Radial Basis Function Neural Network for WSN " Journal of Ambient Intelligence and Humanized Computing (Jan 2021): 1-17.

11. N. Gul, M.S. Khan, S.M. Kim, M.S. Hilaire, I. Ullah, and J. Kim "Particle Swarm Optimization in the Presence of Malicious Users in Cognitive IoT Networks with Data" Scientific Programming  2020 (Nov 2020).   https://doi.org/10.1155/2020/8844083 

12. I. Ullah, M. S. Khan, M. Amir, J. Kim and S. M. Kim, "LSTPD: Least Slack Time-Based Preemptive Deadline Constraint Scheduler for Hadoop Clusters," in IEEE Access, vol. 8, pp. 111751-111762, 2020, doi: 10.1109/ACCESS.2020.3002565. 

13. Ullah, I., Youn, H.Y. Intelligent Data Fusion for Smart IoT Environment: A Survey. Wireless Pers Commun (2020). https://doi.org/10.1007/s11277-020-07369-0 

14. Ullah, I., Youn, H.Y. Task Classification and Scheduling Based on K-Means Clustering for Edge Computing. Wireless Pers Commun (2020). https://doi.org/10.1007/s11277-020-07343-w.

15. Ullah, I., Youn, H.Y. Efficient data aggregation with node clustering and extreme learning machine for WSN. J Supercomput (2020). https://doi.org/10.1007/s11227-020-03236-8 

16. Ullah, I., Youn, H.Y., A novel data aggregation scheme based on self-organized map for WSN. The Journal of Supercomputing (2019): 1-22. 

17. Ullah, I., Youn, H.Y.  Yong Youn. "Statistical multipath queue-wise preemption routing for zigbee-based WSN." Wireless Personal Communications 100.4 (2018): 1537-1551.

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Korean Patents

1. Ihsan Ullah, and Hee Yong Youn "Method and Apparatus for Node Data Aggregation in Wireless Sensor Networks" KR Patent (2019) . App.No: 1020190089187

2. Ihsan Ullah, and Hee Yong Youn "Multipath Priority Routing Method for Wireless Sensor Networks and Routing Device Implementing " KR Patent (2019), App. No: 1020190004828  

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International Conferences

1. Ullah, Ihsan, et al. "Efficient Virtual Network Embedding with Hierarchical and Cooperative Multi-Agent Reinforcement Learning." 2023 International Conference on Communication, Computing and Digital Systems (C-CODE). IEEE, 2023. 

2. Ullah, Ihsan, et al. "Optimal Task Offloading with Deep Q-Network for Edge-Cloud Computing Environment." 2022 13th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2022. 

3. Choi, H. B., Kim, J. B., Ji, C. H., Ihsan, U., Han, Y. H., Oh, S. W., ... & Pyo, C. S. (2022, February). MARL-based Optimal Route Control in Multi-AGV Warehouses. In 2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 333-338). IEEE. 

4. Ihsan. U., H. -K. Lim and Y. -H. Han, "Feature Correlation-based Data Fusion using Dempster-Shafer Evidence Theory for WSN," 2021 International Conference on Information and Communication Technology Convergence (ICTC), 2021, pp. 1208-1212, doi: 10.1109/ICTC52510.2021.9621064. 

5. Ihsan U., H. -K. Lim and Y. -H. Han, "Ego Network-based Virtual Network Embedding Scheme for Revenue Maximization," 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2021, pp. 155-160, doi: 10.1109/ICAIIC51459.2021.9415185. 

6. Kim, Sejun, Ihsan U, Taeho Lee, and Hee Yong Youn. "Fast Detection of Abnormal Data in IIoT with Segmented Linear Regression." In Proceedings on the International Conference on Internet Computing (ICOMP), pp. 88-94. The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2019.

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