I obtained my Ph. D. in software engineering at the Center for Energy Informatics, part of the Maersk McKinney Moeller Institute at the University of Southern Denmark.

My research group worked in the field of energy informatics, applying techniques from software engineering, computer science and information technologies to energy systems. My Ph. D. was part of the project COORDICY, a Danish-American collaboration with the goal of reducing the gap between design and actual energy efficiency in buildings. Partners of the project were the University of California Berkeley, the Lawrence Berkeley National Laboratory, and the NASA Ames research center.

My specific research topic was to design and implement software methods for fault detection and diagnostics in building systems, by analysing real-time data collected from the building’s sensing infrastructure and identifying specific patterns through machine learning, statistical models, and other data-driven techniques, but also by using detailed physical models of building systems. I was also responsible for software libraries to make data on our storage system available to other applications, and for designing and implementing a simulation framework to test building control strategies. Finally, I took part in several teaching activities such as lectures and supervision.

My background is in computer engineering and mathematics. I obtained a master’s degree in computer engineering at the Polytechnic of Milan, Italy, where I specialized on operational research, optimization and modelling. I was interested in modelling different phenomenons in computer programs, and in how their structure can be exploited in optimization algorithms.

At the same time I obtained a master’s degree in engineering mathematics at the Lund University, Sweden, where I specialized in numerics. I was interested in the methods used to compute solutions to mathematical problems, often using approximations, but at the same time having a measure of the error.

To some extent, my objective was to explore some of the fields where computer engineering and mathematics meet, and to understand the mathematical background of computer science. In my joint master’s thesis, I developed an optimization meta-heuristic and a relative application for tackling a complex mathematical-programming problem concerning optimal control in buildings.

Publications

The following is a list of all my publications in reverse chronological order (most recent first). PDF files are available for Open Access publications and, where allowed by the publisher, for preprints.

Main Author

• Claudio Giovanni Mattera, Hamid Reza Shaker, Muhyiddine Jradi, Mathis Riber Skydt, and Sebastian Skals Engelsgaard. “Fault Detection in Ventilation Units using Dynamic Energy Performance Models.” Journal of Building Engineering, 32, p. 101635, November 2020, ᴅᴏɪ: 10.1016/j.jobe.2020.101635.

• Claudio Giovanni Mattera. “Software Tools and Methods for Buildings Fault Detection and Diagnostics” (Ph. D. Thesis), University of Southern Denmark, 11 February 2019.

• Claudio Giovanni Mattera, Hamid Reza Shaker, and Muhyiddine Jradi. “Consensus-based Method for Anomaly Detection in VAV Units.” Energies, 12(3), 1 February 2019, ᴅᴏɪ:  10.3390/en12030468.

• Claudio Giovanni Mattera, Joseba Quevedo, Teresa Escobet, Hamid Reza Shaker, and Muhyiddine Jradi. “Fault Detection and Diagnostics in Ventilation Units Using Linear Regression Virtual Sensors.” Proceedings of the International Symposium on Advanced Electrical and Communication Technologies, IEEE, 24 January 2019, ᴅᴏɪ: 10.1109/ISAECT.2018.8618755.
  Presented at the IEEE International Symposium on Advanced Electrical and Communication Technologies in Kenitra, Morocco on 21 November 2018

• Claudio Giovanni Mattera, Joseba Quevedo, Teresa Escobet, Hamid Reza Shaker, and Muhyiddine Jradi. “A Method for Fault Detection and Diagnostics in Ventilation Units Using Virtual Sensors.” Sensors, 18(11), 14 November 2018, ᴅᴏɪ:  10.3390/s18113931.

• Claudio Giovanni Mattera, Muhyiddine Jradi, and Hamid Reza Shaker. “Online Energy Simulator for Building Fault Detection and Diagnostics Using Dynamic Energy Performance Model.” International Journal of Low-Carbon Technologies, 13(3), pp. 231–239, 1 September 2018, ᴅᴏɪ:  10.1093/ijlct/cty019.

• Claudio Giovanni Mattera, Sanja Lazarova-Molnar, Hamid Reza Shaker, and Bo Nørregaard Jørgensen. “A Practical Approach to Validation of Buildings’ Sensor Data: a Commissioning Experience Report.” Proceedings of the Third International Conference on Big Data Computing Service and Applications (pp. 287–292), IEEE, 12 June 2017, ᴅᴏɪ: 10.1109/BigDataService.2017.48.
  Presented at the IEEE Third International Conference on Big Data Computing Service and Applications in San Francisco, CA, USA on 6 April 2017

• Claudio Giovanni Mattera. “Optimization Heuristics for Residential Energy Load Management” (Master's Thesis), Polytechnic of Milan and Lund University, December 2012.

Co-author

• Jens Hjort Schwee, Aslak Johansen, Bo Nørregaard Jørgensen, Mikkel Baun Kjærgaard, Claudio Giovanni Mattera, Fisayo Caleb Sangogboye, and Christian T. Veje. “Publisher Correction: Room-level Occupant Counts Using Heterogeneous Sensing Modalities from a Teaching and Offices Building.” Scientific Data, 7(76), 28 February 2020, ᴅᴏɪ:  10.1038/s41597-020-0416-8.

• Jens Hjort Schwee, Aslak Johansen, Bo Nørregaard Jørgensen, Mikkel Baun Kjærgaard, Claudio Giovanni Mattera, Fisayo Caleb Sangogboye, and Christian T. Veje. “Room-level Occupant Counts Using Heterogeneous Sensing Modalities from a Teaching and Offices Building.” Scientific Data, 6(287), 26 November 2019, ᴅᴏɪ:  10.1038/s41597-019-0274-4.

• Muhyiddine Jradi, Na Liu, Aslak Johansen, Krzysztof Arendt, Claudio Giovanni Mattera, Mikkel Baun Kjærgaard, Christian T. Veje, et al. “Dynamic Energy Model-Based Automatic Building Performance Testing for Continuous Commissioning.” Proceedings of the 16th IBPSA International Conference Building Simulation 2019 (pp. 822–829), International Building Performance Simulation Association, October 2019, ᴅᴏɪ: 10.26868/25222708.2019.210200.

• Krzysztof Arendt, Anders Clausen, Claudio Giovanni Mattera, Muhyiddine Jradi, Aslak Johansen, Christian T. Veje, Mikkel Baun Kjægaard, et al. “Multi-Objective Model Predictive Control Framework for Buildings.” Proceedings of the 16th IBPSA International Conference Building Simulation 2019 (pp. 2779–2786), International Building Performance Simulation Association, October 2019, ᴅᴏɪ: 10.26868/25222708.2019.210156.

• Muhyiddine Jradi, Krzysztof Arendt, Fisayo Caleb Sangogboye, Claudio Giovanni Mattera, Elena Markoska, Mikkel Baun Kjærgaard, Christian T. Veje, et al. “ObepME: An Online Building Energy Performance Monitoring and Evaluation Tool to Reduce Energy Performance Gaps.” Energy and Buildings, 166, pp. 196–209, 1 May 2018, ᴅᴏɪ: 10.1016/j.enbuild.2018.02.005.

• Krzysztof Arendt, Aslak Johansen, Bo Nørregaard Jørgensen, Mikkel Baun Kjærgaard, Claudio Giovanni Mattera, Fisayo Caleb Sangogboye, Jens Hjort Schwee, et al. “Room-level Occupant Counts, Airflow and CO2 Data from an Office Building.” The 16th ACM Conference on Embedded Networked Sensor Systems (pp. 13–14), ACM, 2018, ᴅᴏɪ: 10.1145/3277868.3277875.

• Muhyiddine Jradi, Fisayo Caleb Sangogboye, Claudio Giovanni Mattera, Mikkel Baun Kjærgaard, Christian T. Veje, and Bo Nørregaard Jørgensen. “A World Class Energy Efficient University Building by Danish 2020 Standards.” Energy Procedia, 132, pp. 21–26, October 2017, ᴅᴏɪ:  10.1016/j.egypro.2017.09.625.

Teaching

The following is a list of all classes I taught.

• 2018 - Examiner (Distributed Computing) at University of Southern Denmark,
  I lead five groups of six students to their group exam on their semester project.

• 2017 - Project Supervisor (Distributed Computing) at University of Southern Denmark,
  I supervised five groups of six students during their semester project, where they planned, designed and implemented a distributed software application.

• 2017 - Lecturer (Artificial Intelligence) at University of Southern Denmark,
  I gave lectures on the topic of local search optimization during the course on artificial intelligence.

• 2017 - Teaching Assistant (Artificial Intelligence) at University of Southern Denmark,
  I taught laboratory and exercise sessions for the course on artificial intelligence.

• 2016 - Teaching Assistant (Statistics) at University of Southern Denmark,
  I taught laboratory and exercise sessions for the course on statistics.

• 2016 - Supervisor (Decision Support Systems) at University of Southern Denmark,
  I supervised two students during a seminar-based course on decision support systems.

• 2015 - Project Supervisor (Distributed Computing) at University of Southern Denmark,
  I supervised three groups of six students during their semester project, where they planned, designed and implemented a distributed software application.