Masoud Hemmatpour
Adjunct Research Scientist
- Department
- High Performance Computing
- Organisation
- Simula Research Laboratory

- mashemat@simula.no
Publications
2020
Journal Articles
M. Hemmatpour, B. Montrucchio, M. Rebaudengo and M. Sadoghi
Analyzing In-Memory NoSQL Landscape
IEEE Transactions on Knowledge and Data Engineering
2019
Book Chapters
M. Hemmatpour, R. Ferrero, B. Montrucchio and M. Rebaudengo
Cost Evaluation of Synchronization Algorithms for Multicore Architectures
Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
Journal Articles
R. Ferrero and F. Gandino
Estimation of displacement for Internet of Things applications with Kalman filter
Electronics
M. Hemmatpour, R. Ferrero, B. Montrucchio and M. Rebaudengo
A review on fall prediction and prevention system for personal devices: evaluation and experimental results
Advances in Human-Computer Interaction
PhD Thesis
M. Hemmatpour
High Performance Computing using Infiniband-based clusters
Politecnico di Torino
2018
Book Chapters
M. Hemmatpour, R. Ferrero, B. Montrucchio and M. Rebaudengo
Data Reduction Techniques for Near Real-Time Decision Making in Fall Prediction Systems
Big Data Management and the Internet of Things for Improved Health Systems
Journal Articles
M. Hemmatpour, R. Ferrero, F. Gandino, B. Montrucchio and M. Rebaudengo
Nonlinear predictive threshold model for real-time abnormal gait detection
Journal of healthcare engineering
M. Hemmatpour, R. Ferrero, F. Gandino, B. Montrucchio and M. Rebaudengo
Internet of Things for fall prediction and prevention
Journal of Computational Methods in Sciences and Engineering
2017
Journal Articles
M. Hemmatpour, B. Montrucchio and M. Rebaudengo
Communicating efficiently on cluster-based remote direct memory access (RDMA) over infiniband protocol
Applied Sciences
Proceedings, refereed
M. Hemmatpour, B. Montrucchio and M. Rebaudengo
DIIG: a distributed industrial IoT gateway
Computer Software and Applications Conference (COMPSAC)
M. Hemmatpour, M. Rebaudengo, R. Ferrero and B. Montrucchio
A Neural Network Model Based on Co-occurrence Matrix for Fall Prediction
Wireless Mobile Communication and Healthcare
M. Hemmatpour, M. Karimshoushtari, R. Ferrero, B. Montrucchio, M. Rebaudengo and C. Novara
Polynomial classification model for real-time fall prediction system
Computer Software and Applications Conference (COMPSAC)
R. Ferrero, M. Hemmatpour, B. Montrucchio and M. Rebaudengo
Urban dust monitoring from ground level to last floor
Conference on Mobile Computing and Ubiquitous Network (ICMU)
2016
Posters
M. Hemmatpour, B. Montrucchio, M. Rebaudengo and M. Sadoghi
Kanzi: A distributed, in-memory key-value store
Proceedings, refereed
R. Ferrero, F. Gandino, B. Montrucchio and M. Rebaudengo
Exploiting accelerometers to estimate displacement
Mediterranean Conference on Embedded Computing (MECO)
M. Hemmatpour, R. Ferrero, B. Montrucchio and M. Rebaudengo
Eigenwalk: a novel feature for walk classificatio and fall prediction
International Conference on Body Area Networks
M. Hemmatpour, R. Ferrero, B. Montrucchio and M. Rebaudengo
A baseline walking dataset exploiting accelerometer and gyroscope for fall prediction and prevention systems
International Conference on Body Area Networks