Comprehensive Framework enabling the Delivery of Trustworthy Datasets for Efficient AIoT Operation
PANDORA is funded by the European Commission (HORIZON-CL4-2023-HUMAN-01-01). The mission of the project is to develop an integrated AI-based framework that enables the efficient use of (possibly limited) real-world IoT datasets and enables robust/continual operation of AIoT systems at runtime.
Budget (TSP): €524,375.00, Total Budget: €9,795,000.00, Grant agreement: TBD, Duration: 2024-2027
DI-Hydro is funded by the European Commission (HORIZON-CL5-2022-D3-03). It aims to develop intelligent algorithms that use data from static, dynamic (e.g. IoT devices) and alternative sources (e.g. satellites) in order to predict the operating behavior of individual plants and clusters of hydroelectric plants.
Budget (TSP): €403,750.00, Total Budget: €4,498,761.00, Grant agreement: 101122311, Duration: 2023-2026
The main goal of SmartCityBus is the development of a smart transportation platform to efficiently define routes for better serving passengers and optimally use available resources. My main contributions include the coordination of 2 students for the design and implementation of the platform, focucing on real-time aspects.
TIPPERS is part of the Brandeis DARPA program which aims to protect the privacy of individuals in smart spaces. My main contributions include guiding 2 PhD students and 15 undergraduates for the abstraction of IoT device interactions towards a semantic vision of smart spaces. Duration: 2019-2022
SCIFIRE is a collaborative project with the National Fire Protection Association (NFPA) on Smart Fire Fighting technologies. My main contributions include the design of a middleware system for the prioritized delivery of mission-critical data from IoT devices to firefighters. Duration: 2018-2021
MINES is part of the INRIA Associate team program which promotes collaborations with organizations outside the EU. In collaboration with the University of California, Irvine, MINES enables the dynamic synthesis of IoT systems with all available heterogeneous devices. Duration: 2018-2020
INRIA, in collaboration with the Universidade Federal de Goias (Brazil), designed an architecture to support large-scale IoT applications by satisfying end-to-end QoS requirements via resource allocation algorithms. Duration: 2015-2017
CHOReVOLUTION is part of the EU’s Horizon 2020 program for the automated synthesis of dynamic and secured IoT choreographies. My main contributions include the mapping of functional and QoS protocol semantics employed by heterogeneous services and IoT devices. Duration: 2014-2017
INRIA and IIIT-Delhi (India) collaborate to develop a scalable data collection middleware for personalized mobility services in Delhi/Paris. Duration: 2014-2017
CHOReOS is part of the EU’s FP7 program for the development of large-scale choreographies of services for the Future Internet. My main contributions include the design and implementation of an Enterprise Service Bus for integrating heterogeneous services. Duration: 2010-2013