Grigore Stamatescu (M’07, SM’19) holds the Ph.D. degree (2012) from the University Politehnica of Bucharest where he is currently a Professor (Habil. 2019) with the Department of Automation and Industrial Informatics, Faculty of Automatic Control and Computers. His research interests include networked embedded sensing, the internet of things and distributed information processing in industry and energy applications. Recent results include statistical learning methods for load forecasting and anomaly detection in building energy traces and data-driven modelling of large-scale manufacturing systems, with focus on energy efficiency. Research results have been published in over 150 articles. Dr. Stamatescu was a Fulbright Visiting Scholar 2015-2016 at the University California, Merced, and a JESH Scholar of the Austrian Academy of Sciences in 2019. He is member of the IEEE RAS TC on Smart Buildings, the IEEE IES TC on Industrial Agents, and 2025-2027 Distinguished Lecturer of the IEEE Instrumentation and Measurement Society.

“Measure what is important, don’t make important what you can measure.” Robert McNamara

• Cretu G., Stamatescu I., Stamatescu G., Evaluation of Deep Learning and Machine Learning Algorithms for Building Occupancy Classification on Open Datasets, 31st Mediterranean Conference on Control and Automation (MED 2023), Limassol, June 2023.
• Stamatescu G., Ciornei I., Plamanescu R., Albu M., Detection of Anomalies in Power Profiles using Data Analytics, 12th IEEE International Workshop on Applied Measurements for Power Systems (AMPS 2022), Cagliari, September 2022.
• Fagaras R., Nichiforov C., Stamatescu I., Stamatescu G., Evaluation of Compressed Residential En- ergy Forecasting Models, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021), Melbourne, October 2021.