Assoc. Prof. Dr. Hamada Rizk | Intelligent Systems Design and Pervasive Computing | Best Researcher Award
Associate Professor at Osaka University, Japan
Dr. Hamada Rizk is an Associate Professor at Osaka University, Japan. With extensive experience in intelligent systems and ubiquitous computing, he has played pivotal roles in both academia and industry. He previously held appointments as a Senior Scientist at Hulix-tech Inc. and as a Researcher and Lecturer at multiple institutions including Egypt-Japan University of Science and Technology and Tanta University. His work is primarily focused on human-centric sensing, privacy-preserving AI, and mobile computing, with impactful contributions to the fields of smart environments, localization systems, and health-related IoT applications.
Profile
Education
Dr. Rizk earned his Ph.D. in Computer Science and Engineering from the Egypt-Japan University of Science and Technology (E-JUST) in 2020, where his research emphasized indoor localization and intelligent sensing systems. Prior to that, he completed an M.Sc. in Computer Engineering at Tanta University in 2016, and a B.Sc. in Computer and Automatic Control Engineering from the same institution in 2010. His academic foundation reflects a strong blend of software engineering, signal processing, and machine learning, which has informed his interdisciplinary approach to research and innovation.
Experience
Dr. Rizk’s professional journey spans academic and industrial environments across Egypt and Japan. He currently leads advanced research at Osaka University, following prior roles such as Specially Appointed Assistant Professor and Researcher within the Mobile Computing Lab. In industry, he has served as Principal Technical Advisor at Hulix-tech Inc., applying his academic expertise to practical challenges in smart sensing and location determination. Earlier in his career, he contributed to national and international initiatives as Chief Technology Officer for the Ministry of Higher Education in Egypt and as a senior researcher at multiple wireless communication centers.
Research Interest
His primary research interests encompass intelligent systems design, location determination technologies, mobile and ubiquitous computing, and privacy-preserving machine learning. Dr. Rizk has a particular focus on indoor localization using Wi-Fi and cellular signals, multi-person activity recognition, and edge-AI solutions for health and safety. His interdisciplinary projects often combine deep learning with real-world data acquisition using LiDAR, mobile sensors, and IoT devices. He also explores resilient computing systems that adapt to heterogeneous environments and devices.
Awards
Dr. Rizk has received numerous prestigious awards, underscoring the impact of his research. These include the Best Paper Award at the 31st Multimedia Communication and Distributed Processing Workshop (2023), multiple honors from ACM SIGSPATIAL and IEEE SMARTCOMP, and recognition among the top 2% world scientists by Stanford University in 2023. He has been awarded the IEEE Senior Membership and received the Nvidia Award for research excellence in Japan. His leadership in international research competitions further attests to his dedication to applied scientific advancement.
Publications
Dr. Rizk has authored over 80 peer-reviewed publications in top-tier conferences and journals. A selection of impactful works includes:
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“TimeSense: Multi-Person Device-Free Indoor Localization via RTT,” IEEE Internet of Things Journal, 2024 – This article introduces a novel localization system using round-trip time without requiring devices on tracked individuals.
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“Adaptability Matters: Heterogeneous Graphs for Agile Indoor Positioning,” IEEE MDM 2024 – This paper presents a graph-based model to tackle cluttered indoor environments with heterogeneous inputs.
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“Privacy-preserving Pedestrian Tracking with Path Image Inpainting and 3D Point Cloud Features,” Pervasive and Mobile Computing, 2024 – This publication highlights a system that integrates visual inpainting and LiDAR for privacy-safe pedestrian tracking.
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“RISense: 6G-Enhanced Human Activity Recognition System,” IEEE MDM 2024 – A novel human activity recognition method utilizing reconfigurable intelligent surfaces (RIS) and deep learning techniques.
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“From Calls to Scales: Harnessing Smartphone Accelerometer and Vibration for Daily Mass Measurement,” IEEE SMARTCOMP 2024 – This work explores health-tech applications using embedded smartphone sensors for weight estimation.
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“Towards Intelligent Environments: Human Sensing through Point Cloud,” Journal of Reliable Intelligent Environments, 2024 – An article focusing on ambient intelligence and point cloud-based sensing for smart environments.
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“KissLoc: A Spatio-temporal Kissing Recognition System Using Smart Glasses,” IEEE SMARTCOMP 2023 – An innovative system that combines smart eyewear with machine learning for spatio-temporal human interaction analysis.
These publications have been cited by several peer-reviewed articles, reflecting growing interest and relevance in real-time sensing, smart spaces, and edge intelligence.
Conclusion
Dr. Hamada Rizk stands as a prominent researcher whose interdisciplinary expertise bridges computer science, mobile computing, and AI for societal impact. His prolific output and collaborative leadership across institutions in Japan, Egypt, and beyond continue to drive technological innovation. Through his dedication to privacy-conscious systems, intelligent sensing, and resilient localization frameworks, he is shaping the future of smart environments and ubiquitous systems. His contributions are not only academically rigorous but also carry significant real-world applicability in healthcare, disaster response, and everyday human-computer interaction.