Sifat Rezwan received his B.Sc. degree in Electrical and Electronic Engineering from North South University, Bangladesh, in 2018. Then, he obtained his M.Eng. degree in Computer Engineering from Chosun University, South Korea, in 2022. During 2019–2020, he was with Grameenphone Ltd. (Telenor group), where he was involved in transmission network operations and automation and received the top performer award in 2020. He is currently pursuing his PhD at Dresden University of Technology.
Testbed for Semantic Compression-based Networked Immersion Using Boston Dynamics Spot Proceedings Article
In: IEEE Future Networks World Forum (FNWF), Dubai, UAE, 2024.
Balancing Beyond-Shannon: Demonstration of Functional Compression using a Balancing Robot Proceedings Article
In: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC 2024), pp. 2, Las Vegas, USA, 2024.
Federated Deep Reinforcement Learning-Based Multi-UAV Navigation for Heterogeneous NOMA Systems Journal Article
In: IEEE Sensors Journal, pp. 1-1, 2023.
cXR+ Voxel-Based Semantic Compression for Networked Immersion Journal Article
In: IEEE Access, vol. 11, pp. 52763-52777, 2023.
Functional Compression for Networked Applications in Practice Proceedings Article
In: European Wireless (EW), Rome, Italy, 2023.
Network Functional Compression for Control Applications Proceedings Article
In: International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Male, Maldives, 2022.
TRANSMISSION POWER ALLOCATION METHOD BASED ON USER CLUSTERING AND REINFORCEMENT LEARNING Patent
20220159586, 2022.
Artificial Intelligence Approaches for UAV Navigation: Recent Advances and Future Challenges Journal Article
In: IEEE Access, vol. 10, pp. 26320-26339, 2022.
Priority-Based Joint Resource Allocation With Deep Q-Learning for Heterogeneous NOMA Systems Journal Article
In: IEEE Access, vol. 9, pp. 41468-41481, 2021.
A survey on applications of reinforcement learning in flying ad-hoc networks Journal Article
In: Electronics, vol. 10, no. 4, pp. 449, 2021.
A Study on Implementation Methods of Reinforcement Learning in NOMA Systems Proceedings Article
In: 한국통신학회 학술대회논문집, pp. 189–190, 2020.
Efficient user clustering and reinforcement learning based power allocation for NOMA systems Proceedings Article
In: 2020 International Conference on Information and Communication Technology Convergence (ICTC), pp. 143–147, IEEE 2020.
Q-Learning-based Resource Allocation with Priority-based Clustering for Heterogeneous NOMA Systems Proceedings Article
In: The 9th International Conference on Smart Media and Applications, pp. 253–257, 2020.
A minimalist model of IoT based sensor system for sewage treatment plant monitoring Proceedings Article
In: 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp. 0939–0945, IEEE 2019.
Seven-Level Cascaded H-Bridge Inverter and Fault-Tolerant Control Strategy Proceedings Article
In: 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET), pp. 1–6, IEEE 2019.
Dispatched power and unbalanced operation of a three-phase NPC based double-stage grid connected PV system Proceedings Article
In: 2019 4th International Conference on Electrical Information and Communication Technology (EICT), pp. 1–6, IEEE 2019.
IoT based smart inventory management system for kitchen using weight sensors, LDR, LED, Arduino Mega and NodeMCU (ESP8266) Wi-Fi module with website and app Proceedings Article
In: 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA), pp. 1–6, IEEE 2018.
Transformer-less Single Phase H2D4 Inverter with Voltage Controller for Grid-tied PV System Proceedings Article
In: 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), pp. 514–519, IEEE 2018.
H2d4-type single phase transformer-less inverter with reactive power control for grid-tied pv system Proceedings Article
In: 2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), pp. 112–118, IEEE 2018.
Novel design and performance analysis of a Mars exploration robot: Mars rover mongol pothik Proceedings Article
In: 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp. 132–136, IEEE 2017.
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