Irina Mocanu is professor at the Computer Science Department from National University of Science and Technology Politehnica Bucharest and member of the Artificial Intelligence and Multi-Agent Systems Laboratory. She received B.Sc., M.Sc., and PhD degree from Politehnica Bucharest. Also, she obtained the post-doctoral diploma from the same university, with the ambient assisted living project: AmIHomCare: Ambiental Intelligent System for Home Medical Assistance. She is doing research in human-centric AI, computer vision, medical image understanding, assistive systems, artificial intelligence in games. She published over 150 research papers in journals and international conferences (h-index ISI-WOS 7, Scopus 9, Scholar 12). She also conducted hundreds of AI graduation and master thesis. From 2021 She is PhD habilitated. Currently she is coordinating 4 PhD students in the domain of healthcare: assistive methods: daily action recognition, people tracking using multiple cameras and medical images (MRI analysation to detect the stage of dementia). She coordinated several projects (funded by European Union and Romania) in the domain of active and assisting living. Also, she is MC Member for 2 Cost.

Main articles from the last five years:

[1] Velciu, M.; Spiru, L.; Dan Marzan, M.; Reithner, E.; Geli, S.; Borgogni, B.; Cramariuc, O.; Mocanu, I.G.; Kołakowski, J.; Ayadi, J.; et al. How Technology-Based Interventions Can Sustain Ageing Well in the New Decade through the User-Driven Approach. Sustainability 2023, 15, 10330. https://doi.org/10.3390/su151310330

[2] Bajenaru, L.; Sorici, A.; Mocanu, I.G.; Florea, A.M.; Antochi, F.A.; Ribigan, A.C. Shared Decision-Making to Improve Health-Related Outcomes for Adults with Stroke Disease. Healthcare 2023, 11, 1803. https://doi.org/10.3390/healthcare11121803

[3] Sorici, A.; Băjenaru, L.; Mocanu, I.G.; Florea, A.M.; Tsakanikas, P.; Ribigan, A.C.; Pedullà, L.; Bougea, A. Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol. Healthcare 2023, 11, 2656. https://doi.org/10.3390/healthcare11192656

[4] I. Mocanu, O. Cramariuc and D. I. Stanciu, “An Intelligent Application for Improving Health Conditions through Gamification,” 2023 24th International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania, 2023, pp. 460-466, doi: 10.1109/CSCS59211.2023.00078.

[5] Budisteanu E-A, Mocanu IG. Combining Supervised and Unsupervised Learning Algorithms for Human Activity Recognition. Sensors. 2021; 21(18):6309. https://doi.org/10.3390/s21186309, WOS:000701848200001.

[6] Gurita, A.; Mocanu, I. “Image Segmentation Using Encoder-Decoder with Deformable Convolutions”, Sensors 2021, 21, 1570, https://doi.org/10.3390/s21051570, WOS:000628661600001.

[7] Ghiță, A.Ș.; Gavril, A.F.; Nan, M.; Hoteit, B.; Awada, I.A.; Sorici, A.; Mocanu, I.; Florea, A.M. The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper Robot. Sensors 2020, 20, 7271, https://doi.org/10.3390/s20247271, WOS:000603252000001.

[8] Morar, Anca; Moldoveanu, Alin; Mocanu, Irina; Moldoveanu, Florica; Radoi, Ion Emilian; Asavei, Victor; Gradinaru, Alexandru; Butean, Alex, “A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision”, SENSORS, 2020; 20(9):2641, https://doi.org/10.3390/s20092641, WOS:000537106200205.

[9] A. -C. Popescu, I. Mocanu and B. Cramariuc – Fusion Mechanisms for Human Activity Recognition Using Automated Machine Learning, in IEEE Access, vol. 8, pp. 143996-144014, 2020, doi: 10.1109/ACCESS.2020.3013406, WOS:000560340700001.

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