ORCID as entered in ROS

Select Publications
Yao S; Peralta-Braz P; Alamdari MM; Ruiz RO; Atroshchenko E; Hassan M, 2023, Optimal design of Piezoelectric Energy Harvesters for bridge infrastructure: Effects of Location and Traffic Intensity on Energy Production, http://arxiv.org/abs/2303.03620v1
Wang Y; Hu J; Jia H; Hu W; Hassan M; Uddin A; Kusy B; Youssef M, 2022, Spectral-Loc: Indoor Localization using Light Spectral Information, http://dx.doi.org/10.48550/arxiv.2206.14401
Peralta-Braz P; Alamdari MM; Ruiz RO; Atroshchenko E; Hassan M, 2022, Design optimisation of piezoelectric energy harvesters for bridge infrastructure, http://arxiv.org/abs/2205.06949v2
Peralta-Braz P; Alamdari MM; Ruiz RO; Atroshchenko E; Hassan M, 2022, On the Joint Optimization of Energy Harvesting and Sensing of Piezoelectric Energy Harvesters: Case Study of a Cable-Stayed Bridge, http://arxiv.org/abs/2205.06974v2
Ardiny M; Hassan M; Ding M; Salim O; Karmakar N, 2021, Modeling and Analysis of HAPS-based Cellular IoT Systems for Protected Areas, http://dx.doi.org/10.36227/techrxiv.16674127.v1
Ardiny M; Hassan M; Ding M; Salim O; Karmakar N, 2021, Modeling and Analysis of HAPS-based Cellular IoT Systems for Protected Areas, http://dx.doi.org/10.36227/techrxiv.16674127
Hoseini SA; Ding M; Hassan M; Chen Y, 2021, Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency Bands, http://dx.doi.org/10.48550/arxiv.2102.01809
Nirmal I; Khamis A; Hassan M; Hu W; Zhu X, 2020, Deep Learning for Radio-based Human Sensing: Recent Advances and Future Directions, http://dx.doi.org/10.48550/arxiv.2010.12717
Ma D; Lan G; Hassan M; Hu W; Das SK, 2019, Sensing, Computing, and Communication for Energy Harvesting IoTs: A Survey, http://dx.doi.org/10.48550/arxiv.1905.03949
Lin Q; Xu W; Liu J; Khamis A; Hu W; Hassan M; Seneviratne A, 2019, H2B: Heartbeat-based Secret Key Generation Using Piezo Vibration Sensors, http://dx.doi.org/10.48550/arxiv.1904.00750
M. SP; Panigrahi T; Hassan M; Ding M, 2019, Sampling Free TDOA Localization in Millimeter Wave Networks, http://dx.doi.org/10.48550/arxiv.1902.01655
Ma D; Lan G; Hassan M; Hu W; Upama MB; Uddin A; Youssef M, 2018, SolarGest: Ubiquitous and Battery-free Gesture Recognition using Solar Cells, http://dx.doi.org/10.48550/arxiv.1812.01766
M SP; Panigrahi T; Hassan M, 2018, Classifying the Order of Higher Derivative Gaussian Pulses in Terahertz Wireless Communications, http://dx.doi.org/10.48550/arxiv.1809.05734
Fotouhi A; Qiang H; Ding M; Hassan M; Giordano LG; Garcia-Rodriguez A; Yuan J, 2018, Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges, http://dx.doi.org/10.48550/arxiv.1809.01752
M. SP; Panigrahi T; Hassan M, 2018, Direction of Arrival and Center Frequency Estimation for Impulse Radio Millimeter Wave Communications, http://dx.doi.org/10.48550/arxiv.1808.06765
M. SP; Panigrahi T; Hassan M, 2018, Energy Efficient Event Localization and Classification for Nano IoT, http://dx.doi.org/10.48550/arxiv.1808.06764
Prasad SM; Panigrahi T; Hassan M, 2018, Direction of Arrival Estimation for Nanoscale Sensor Networks, http://dx.doi.org/10.48550/arxiv.1807.04435
Fotouhi A; Ding M; Hassan M, 2017, Service on Demand: Drone Base Stations Cruising in the Cellular Network, http://dx.doi.org/10.48550/arxiv.1710.09504
Hoseini SA; Ding M; Hassan M, 2017, A New Look at MIMO Capacity in the Millimeter Wave, http://dx.doi.org/10.48550/arxiv.1710.09032
Hoseini SA; Ding M; Hassan M, 2017, Massive MIMO Performance Comparison of Beamforming and Multiplexing in the Terahertz Band, http://dx.doi.org/10.48550/arxiv.1710.09031
Fotouhi A; Ding M; Hassan M, 2017, DroneCells: Improving 5G Spectral Efficiency using Drone-mounted Flying Base Stations, http://dx.doi.org/10.48550/arxiv.1707.02041
Fotouhi A; Ding M; Hassan M, 2017, Dynamic Base Station Repositioning to Improve Spectral Efficiency of Drone Small Cells, http://dx.doi.org/10.48550/arxiv.1704.01244
Fotouhi A; Ding M; Hassan M, 2017, Dynamic Base Station Repositioning to Improve Performance of Drone Small Cells, http://dx.doi.org/10.48550/arxiv.1701.01525