Projects and Grants

Grants as Chief Investigator

• 2024 – 2027: Non-Intrusive and Covert Wireless Sensing for Secure and Reliable Identification. Office of National Intelligence. $772,398 AUD.
• 2024 – 2027: Unsupervised User Identification at Scale Using Multi-modal Behavioural Biometrics. Office of National Intelligence. $799,706 AUD.
• 2022 – 2023: Scalable Learning of IoT Network Behaviour under Concept Drift. KDDI Research. $45,000 AUD.
• 2021 – 2023: Space Analytics Engine for On-Board Machine Learning and Multimodal Data Fusion. SmartSat CRC. $150,000 AUD.
• 2021 – 2023: Automated wing-beat frequency trap to Enhance Malaria Surveillance and Control. Innovative Vector Control Consortium. $770,317 AUD.
• 2021 – 2024: Semi-Supervised Learning for Automatic Improvement of Onboard Object Detection Models on Small Satellites. SmartSat CRC. $105,000 AUD.
• 2021 – 2022: Design and implementation of a hybrid NIDS to detect malicious activities in Distributed Energy Resource (DER) systems. CyberSecurity CRC. $10,700 AUD.
• 2017 – 2019: Intelligent Traps and Sensors: an Innovative Approach to Control Insect Pests and Disease Vectors. FAPESP e-Science Research Grant. $55,000 USD.
• 2016 – 2019: An Intelligent Trap and Mobile Application to Motivate Local Mosquito Control Activities. USAID Combating Zika and Future Threats Grand Challenge. $500,000 USD.
• 2017 – 2019: Novel Approaches in Machine Learning Applied to Automatic Insect Recognition. CNPq Research Fellow. $25,000 USD.
• 2015 – 2016: Controlling Dengue Fever Mosquitoes using Intelligent Sensors and Traps. Google LA Research Award. $24,000 USD.
• 2012 – 2014: Complexity-invariance for Classification, Clustering and Motif Discovery in Time Series. FAPESP Research Grant. $30,000 USD.
• 2013 – 2015: Research on Geo-spatial Marine Biology Data Mining using Time Series, Text Mining and Visualization (with Stan Matwin co-PI for NSERC). FAPESP-CALDO International Cooperation Grant. $20,000 USD.
• 2013 – 2015: Intelligent Sensors for Controlling Agricultural Pests and Disease-vector Insects. FAPESP-CNPq Research Grant. $55,000 USD.
• 2014 – 2017: Real-time Monitoring of Insect Pests in Agriculture and the Environment. CNPq Universal Research Grant. $25,000 USD.
• 2014 – 2017: Time Series Classification Algorithms Applied to Embedded Systems. FAPESP New Frontiers Grant. $30,000 USD.
• 2007 – 2009: Machine Learning and Class Imbalance. FAPESP Research Grant. $10,000 USD.

Grants as Co-Chief Investigator

• ClearSight: LLM Agent Assisted Network Discovery and Mapping Under Partial Network Visibility (with Salil Kanhere et al.). University of Sydney / NSW Defence Innovation Network. $166,711 AUD.
• LLM Fine-tuning for Financial Communication (with Michael Bain). AMP Services Limited. $97,481 AUD.
• Generalisable Models for Heterogeneous Devices Traffic Inference (with Hassan Habibi Gharakheili et al.). University of Technology Sydney / Defence Innovation Network. $390,540 AUD.
• Distributed Traffic Inference for Optimal Detection and Classification of IoT Devices in Residential ISP Networks (with Hassan Habibi Gharakheili). KDDI Research Inc. $45,000 AUD.
• 2022 – 2024: IoT Data Security and Assurance Framework for Intelligent Transport (with Arash Shaghaghi et al.). CyberSecurity CRC. $528,000 AUD.
• 2022 – 2024: Socrates: Software Security with a Focus on Critical Technologies (with Helen Paik et al.). CyberSecurity CRC. $345,671 AUD.
• 2018 – 2022: Computational Material Science and Chemistry (with Juarez Silva et al.). FAPESP/Shell PITE Research Grant. $2,300,000 USD.
• 2017 – 2019: Advanced Machine Learning (with André Carvalho). FAPESP/IBM PITE Research Grant. $20,000 USD.
• 2016 – 2017: Intelligent Tools to Vector Control and Population Orientation against Dengue Fever (with Vinícius Souza). FAPESP PIPE Grant. $25,000 USD.
• 2015 – 2019: MAP Machine Learning: An Approach Based on Multiple Strategies (with André Carvalho, Brazil and Marcílio Souto, France). CAPES-COFECUB International Cooperation Grant. $31,000 USD.
• 2013 – 2018: CeMEAI - Center for Mathematical Sciences Applied to Industry (with José Cuminato et al.). FAPESP CEPID Research Grant. $4,000,000 USD.
• 2014 – 2016: Machine Learning for WebSensors: Algorithms and Applications (with Solange Rezende). FAPESP Research Grant. $40,000 USD.
• 2012 – 2017: Research Center in Machine Learning and Data Analysis - NAP-AMDA. Call for New Research Centers, University of São Paulo. $150,000 USD.
• 2010 – 2012: Motion: Machine Learning Algorithms for Motion Tracking (with Edson Matsubara). Foundation to Support the Development of Teaching, Science and Technology. $10,000 USD.
• 2008 – 2010: Research and Development of Method of Instance Selection using Graphs (with Ronaldo Prati). CNPq Research Grant. $9,000 USD.
• 2007 – 2009: Computational Modeling of Complex Systems using Data, Image and Text Mining (with Maria Carolina Monard et al.). MCT/CNPq/CT-Info The Most Relevant Computing Challenges in Brazil 2006-2016. $95,000 USD.