Nirvana Alina Popescu

Nirvana Popescu is full professor at University POLITEHNICA of Bucharest (UPB), Computer Science Department, since 2014. She received her Bachelor of Engineering in UPB, Computer Science Department, followed by M.Sc at the same department. In 2003, she became PhD in Computer Science with a thesis called “Self-organizing intelligent fuzzy systems”, at UPB. Meanwhile she worked and studied as PhD guest student at the University of Bielefeld, Germany. Her main research interests are neural networks, intelligent systems, fuzzy logic and control, eHealth systems, cognitive and autonomous robots, reconfigurable computers. She is the leader of the Laboratory for “Reconfigurable high-confidence medical devices” and she coordinates research projects in the field of Medical Rehabilitation Robotics, Medical Wearable Sensors and AI-based medical evaluations. Since 2016, she coordinates doctoral research thesis on the topics mentioned above. She is author of 10 books and more than 100 papers presented at prestigious international conferences and published in journals with high impact factor acquiring more than 600 citations in high indexed journal articles. She is also expert evaluator for R&D and innovation projects for the European Commission since 2017. Webpage: https://www.brainmap.ro/nirvana-popescu

“The greater danger for most of us lies not in setting our aim too high and falling short; but in setting our aim too low, and achieving our mark.” – Michelangelo

• Asma Channa, Nirvana Popescu, “Deep Learning in Smart eHealth Systems.Evaluation Leveraging for Parkinson’s  Disease”,  book,  SpringerBriefs  in  Computer  Science,  November  2023, https://link.springer.com/book/10.1007/978-3-031-45003-7.
• Rashed Baidaa Mutasher, Popescu Nirvana, “Medical Image-Based Diagnosis Using a Hybrid Adaptive Neuro-Fuzzy Inferences System (ANFIS) Optimized by GA with a Deep Network Model for Features Extraction”, Mathematics Journal 2024, 12, 633,https://doi.org/10.3390/math12050633  (Q1, 2.4).
• Aura Loredana Popescu, Nirvana Popescu, Drawing Interpretation Using Neural Networks and Accessibility Implementationin  Mobile  Application,  Computation  Journal  2022,  10(11),    202; doi:10.3390/computation10110202, WOS:000894595500001. https://www.mdpi.com/2079-3197/10/11/202
• Mircea Ivanescu, Nirvana Popescu, Decebal Popescu, “Delay Time Fractional Order Model for the Soft Exoskeleton Glove Control”, IEEE Transactions on Human-Machine Systems, Q2, IF 4.124, Volume: 51, Issue: 6, pp. 740-745, ISSN: 2168-2291,WOS:000719561500022, DOI:10.1109/THMS.2021.3107491, 2021 https://ieeexplore.ieee.org/document/9537579
• Asma Channa; Rares Ifrim; Decebal Popescu; Nirvana Popescu, “A-WEAR Bracelet for Detection of Hand Tremor and Bradykinesia in Parkinson’s Patients”, Sensors, 2021, 21, 981, WOS:000615495300001 https://www.mdpi.com/1424-8220/21/3/981
• RashedBaidaa  Mutasher,  Popescu  Nirvana,  “Critical  Analysis  of  the  Current  Medical  Image-Based Processing Techniques for Automatic Disease Evaluation: Systematic Literature Review”, Sensors, Volume 22, Issue18, sept. 2022 (Q2 IF = 3.847) WOS:000856787300001 https://www.mdpi.com/1424-8220/22/18/7065
• Aura-Loredana Popescu, Nirvana Popescu, Ciprian Dobre, Elena-Simona Apostol and Decebal Popescu, “IoT and AI-Based Application for Automatic Interpretation of the Affective State of Children Diagnosed with Autism”, Sensors 2022, 22(7), 2528, https://doi.org/10.3390/s22072528 ; WOS:000781611200001 https://www.mdpi.com/1424-8220/22/7/2528