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Hamada Rizk
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2020 – today
- 2024
- [j6]Hirozumi Yamaguchi, Hamada Rizk, Tatsuya Amano, Akihito Hiromori, Riki Ukyo, Shota Yamada, Masakazu Ohno:
Towards intelligent environments: human sensing through 3D point cloud. J. Reliab. Intell. Environ. 10(3): 281-298 (2024) - [j5]Masakazu Ohno, Riki Ukyo, Tatsuya Amano, Hamada Rizk, Hirozumi Yamaguchi:
Privacy-preserving pedestrian tracking with path image inpainting and 3D point cloud features. Pervasive Mob. Comput. 100: 101914 (2024) - [c48]Sherief Hashima, Hamada Rizk, Hirozumi Yamaguchi:
The Future of Beyond 5G Sensing: Transforming Activity Recognition with Reconfigurable Intelligent Surfaces. ABC 2024: 1-10 - [c47]Hamada Rizk, Akira Uchiyama, Hirozumi Yamaguchi:
Adaptability Matters: Heterogeneous Graphs for Agile Indoor Positioning in Cluttered Environments. MDM 2024: 103-108 - [c46]Hamada Rizk, Sherief Hashima:
RISense: 6G-Enhanced Human Activity Recognition System with RIS and Deep LDA. MDM 2024: 119-128 - [c45]Mirna Elbestar, Hamada Rizk, Moustafa Youssef:
Poster: SmartScale: Your Pocket-Sized Weight Estimator Powered by Your Smartphone. MobiSys 2024: 738-739 - [c44]Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi:
Poster: Translating Vision into Words: Advancing Object Recognition with Visual-Language Models. MobiSys 2024: 740-741 - [c43]Hamada Rizk, Sherief Hashima:
Poster: Listening to Earth's Voice: Advanced Vehicle Recognition through Seismic Sensing. MobiSys 2024: 742-743 - [c42]Hamada Rizk, Hend Fayed, Akira Uchiyama, Hirozumi Yamaguchi:
[Poster] You Only Sense Once: Unified Localization and Activity Recognition of Multiple Persons. MobiSys 2024: 744-745 - [c41]Ren Ozeki, Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi:
Decentralized Landslide Disaster Prediction for Imbalanced and Distributed Data. PerCom 2024: 143-150 - [c40]Tatsuya Amano, Hamada Rizk:
Advancing Smart Computing: A Comprehensive Tutorial to 3D Point Clouds from Installation to Efficient Processing and Context Recognition for Next-Gen Applications. SMARTCOMP 2024: 4 - [c39]Hamada Rizk, Mirna Elbestar, Moustafa Youssef:
From Calls to Scales: Harnessing Smartphone Accelerometer and Vibration for Daily Mass Measurement. SMARTCOMP 2024: 101-108 - [i8]Ren Ozeki, Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi:
Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data. CoRR abs/2408.04931 (2024) - [i7]Mohamed Mohsen, Hamada Rizk, Hirozumi Yamaguchi, Moustafa Youssef:
TimeSense: Multi-Person Device-free Indoor Localization via RTT. CoRR abs/2409.00030 (2024) - [i6]Mohamed I. Hany, Hamada Rizk, Moustafa A. Youssef:
AirTags for Human Localization, Not Just Objects. CoRR abs/2410.02329 (2024) - 2023
- [j4]Hamada Rizk, Hirozumi Yamaguchi, Moustafa Youssef, Teruo Higashino:
Laser Range Scanners for Enabling Zero-overhead WiFi-based Indoor Localization System. ACM Trans. Spatial Algorithms Syst. 9(1): 4:1-4:25 (2023) - [c38]Mohamed Mohsen, Hamada Rizk, Hirozumi Yamaguchi, Moustafa Youssef:
LocFree: WiFi RTT-based Device-Free Indoor Localization System. GeoIndstry@SIGSPATIAL 2023: 32-40 - [c37]Mohammed Elkholy, Hamada Rizk, Moustafa Youssef:
Virtual Graph Neural Networks: A Novel Approach for Building-Agnostic Indoor Positioning System. SIGSPATIAL/GIS 2023: 13:1-13:2 - [c36]Ren Ozeki, Haruki Yonekura, Aidana Baimbetova, Hamada Rizk, Hirozumi Yamaguchi:
One Model Fits All: Cross-Region Taxi-Demand Forecasting. SIGSPATIAL/GIS 2023: 101:1-101:4 - [c35]Hamada Rizk, Ahmed Sakr, Ali Ghazal, Mohamed Hemdan, Omar Shaheen, Hossam Sharara, Hirozumi Yamaguchi, Moustafa Youssef:
Indoor Localization System for Seamless Tracking Across Buildings and Network Configurations. GLOBECOM 2023: 776-782 - [c34]Kaede Shintani, Hamada Rizk, Hirozumi Yamaguchi:
Eco-Friendly Sensing for Human Activity Recognition. UbiComp/ISWC Adjunct 2023: 492-498 - [c33]Zhen Chen, Junjie Ye, Peichang Zhang, Hamada Rizk, Lei Huang, Mohamed Rihan:
A Light-weight Learning Framework for RIS-assisted Beamforming Design with Mobile Edge Computing. ICCC 2023: 1-6 - [c32]Sherief Hashima, Mohamed H. Saad, Kohei Hatano, Hamada Rizk:
Vehicle Classification in Intelligent Transportation Systems Using Deep Learning and Seismic Data. ISI 2023: 1-6 - [c31]Riki Ukyo, Tatsuya Amano, Hamada Rizk, Hirozumi Yamaguchi:
Pedestrian Tracking Using 3D LiDARs - Case for Proximity Scenario. ITSC 2023: 4683-4689 - [c30]Haruki Yonekura, Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi:
DEMO: STM - A Privacy-Enhanced Solution for Spatio-Temporal Trajectory Management. MDM 2023: 168-171 - [c29]Ren Ozeki, Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi:
Balancing Privacy and Utility of Spatio-Temporal Data for Taxi-Demand Prediction. MDM 2023: 215-220 - [c28]Mohamed Mohsen, Hamada Rizk, Moustafa Youssef:
Privacy-Preserving by Design: Indoor Positioning System Using Wi-Fi Passive TDOA. MDM 2023: 221-230 - [c27]Yu Sugimoto, Hamada Rizk, Akira Uchiyama, Hirozumi Yamaguchi:
Towards Environment-Independent Activity Recognition Using Wi-Fi CSI with an Encoder-Decoder Network. BodySys@MobiSys 2023: 13-18 - [c26]Masakazu Ohno, Riki Ukyo, Tatsuya Amano, Hamada Rizk, Hirozumi Yamaguchi:
Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs. PERCOM 2023: 43-52 - [c25]Kaede Shintani, Hamada Rizk, Hirozumi Yamaguchi:
Photovoltaic Cells for Energy Harvesting and Step Counting. PerCom Workshops 2023: 316-318 - [c24]Hamada Rizk, Hirozumi Yamaguchi:
KissLoc: A Spatio-temporal Kissing Recognition System Using Commercial Smart Glasses. SMARTCOMP 2023: 207-209 - [c23]Yumeki Goto, Tomoya Matsumoto, Hamada Rizk, Naoto Yanai, Hirozumi Yamaguchi:
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning. SMARTCOMP 2023: 297-302 - [i5]Masakazu Ohno, Riki Ukyo, Tatsuya Amano, Hamada Rizk, Hirozumi Yamaguchi:
Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs. CoRR abs/2303.09915 (2023) - [i4]Yumeki Goto, Tomoya Matsumoto, Hamada Rizk, Naoto Yanai, Hirozumi Yamaguchi:
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning. CoRR abs/2305.08107 (2023) - [i3]Mohamed Mohsen, Hamada Rizk, Moustafa Youssef:
Privacy-Preserving by Design: Indoor Positioning System Using Wi-Fi Passive TDOA. CoRR abs/2306.02211 (2023) - [i2]Ren Ozeki, Haruki Yonekura, Aidana Baimbetova, Hamada Rizk, Hirozumi Yamaguchi:
One Model Fits All: Cross-Region Taxi-Demand Forecasting. CoRR abs/2310.18215 (2023) - 2022
- [j3]Hamada Rizk, Ahmed M. Elmogy, Hirozumi Yamaguchi:
A Robust and Accurate Indoor Localization Using Learning-Based Fusion of Wi-Fi RTT and RSSI. Sensors 22(7): 2700 (2022) - [c22]Hamada Rizk, Dong Ma, Mahbub Hassan, Moustafa Youssef:
Photovoltaic cells for energy harvesting and indoor positioning. SIGSPATIAL/GIS 2022: 18:1-18:4 - [c21]Ren Ozeki, Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi:
Sharing without caring: privacy protection of users' spatio-temporal data without compromise on utility. SIGSPATIAL/GIS 2022: 114:1-114:2 - [c20]Farah Youssef, Sara Elmogy, Hamada Rizk:
MagttLoc: decimeter indoor localization system using commercial devices. SIGSPATIAL/GIS 2022: 115:1-115:2 - [c19]Yuma Okochi, Hamada Rizk, Hirozumi Yamaguchi:
On-the-Fly Spatio-Temporal Human Segmentation of 3D Point Cloud Data By Micro-Size LiDAR. Intelligent Environments 2022: 1-4 - [c18]Asmaa Saeed, Ahmed Wasfey, Hamada Rizk, Hirozumi Yamaguchi:
CellStory: Extendable Cellular Signals-Based Floor Estimator Using Deep Learning. Intelligent Environments 2022: 1-4 - [c17]Hamada Rizk, Yuma Okochi, Hirozumi Yamaguchi:
Demonstrating hitonavi-μ: a novel wearable LiDAR for human activity recognition. MobiCom 2022: 756-757 - [c16]Hamada Rizk, Tatsuya Amano, Hirozumi Yamaguchi, Moustafa Youssef:
Demonstrating OmniCells: a resilient indoor localization system to devices' diversity. MobiCom 2022: 781-782 - [c15]Hamada Rizk, Dong Ma, Mahbub Hassan, Moustafa Youssef:
Indoor Localization using Solar Cells. PerCom Workshops 2022: 38-41 - [c14]Hikaru Katayama, Teruhiro Mizumoto, Hamada Rizk, Hirozumi Yamaguchi:
You Work We Care: Sitting Posture Assessment Based on Point Cloud Data. PerCom Workshops 2022: 121-123 - [c13]Shota Yamada, Hamada Rizk, Hirozumi Yamaguchi:
An Accurate Point Cloud-Based Human Identification Using Micro-Size LiDAR. PerCom Workshops 2022: 569-574 - [c12]Yuma Okochi, Hamada Rizk, Tatsuya Amano, Hirozumi Yamaguchi:
Object Recognition from 3D Point Cloud on Resource-Constrained Edge Device. WiMob 2022: 369-374 - [i1]Betty Lala, Hamada Rizk, Srikant Manas Kala, Aya Hagishima:
Multi-task Learning for Concurrent Prediction of Thermal Comfort, Sensation, and Preference. CoRR abs/2204.12380 (2022) - 2021
- [j2]Ahmed M. Elmogy, Hamada Rizk, Amany M. Sarhan:
OFCOD: On the Fly Clustering Based Outlier Detection Framework. Data 6(1): 1 (2021) - [j1]Hamada Rizk, Moustafa Abbas, Moustafa Youssef:
Device-independent cellular-based indoor location tracking using deep learning. Pervasive Mob. Comput. 75: 101420 (2021) - [c11]Israa Fahmy, Samah Ayman, Hamada Rizk, Moustafa Youssef:
MonoFi: Efficient Indoor Localization based on Single Radio Source And Minimal Fingerprinting. SIGSPATIAL/GIS 2021: 674-675 - [c10]Viktor Erdélyi, Hamada Rizk, Hirozumi Yamaguchi, Teruo Higashino:
Learn to See: A Microwave-based Object Recognition System Using Learning Techniques. ICDCN (Adjunct Volume) 2021: 145-150 - [c9]Hamada Rizk, Tatsuya Amano, Hirozumi Yamaguchi, Moustafa Youssef:
Smartwatch-Based Face-Touch Prediction Using Deep Representational Learning. MobiQuitous 2021: 493-499 - 2020
- [c8]Hamada Rizk, Hirozumi Yamaguchi, Teruo Higashino, Moustafa Youssef:
A Ubiquitous and Accurate Floor Estimation System Using Deep Representational Learning. SIGSPATIAL/GIS 2020: 540-549 - [c7]Hamada Rizk, Hirozumi Yamaguchi, Moustafa Youssef, Teruo Higashino:
Gain Without Pain: Enabling Fingerprinting-based Indoor Localization using Tracking Scanners. SIGSPATIAL/GIS 2020: 550-559 - [c6]Khaled Alkiek, Aya Othman, Hamada Rizk, Moustafa Youssef:
Deep Learning-based Floor Prediction Using Cell Network Information. SIGSPATIAL/GIS 2020: 663-664 - [c5]Hamada Rizk, Moustafa Abbas, Moustafa Youssef:
OmniCells: Cross-Device Cellular-based Indoor Location Tracking Using Deep Neural Networks. PerCom 2020: 1-10
2010 – 2019
- 2019
- [c4]Hamada Rizk, Moustafa Youssef:
MonoDCell: A Ubiquitous and Low-Overhead Deep Learning-based Indoor Localization with Limited Cellular Information. SIGSPATIAL/GIS 2019: 109-118 - [c3]Hamada Rizk:
SoloCell: Efficient Indoor Localization Based on Limited Cell Network Information And Minimal Fingerprinting. SIGSPATIAL/GIS 2019: 604-605 - [c2]Moustafa Abbas, Moustafa Elhamshary, Hamada Rizk, Marwan Torki, Moustafa Youssef:
WiDeep: WiFi-based Accurate and Robust Indoor Localization System using Deep Learning. PerCom 2019: 1-10 - [c1]Hamada Rizk, Ahmed Shokry, Moustafa Youssef:
Effectiveness of Data Augmentation in Cellular-based Localization Using Deep Learning. WCNC 2019: 1-6
Coauthor Index
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last updated on 2024-11-08 20:34 CET by the dblp team
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