Loretta IchimProfessor Habil.
areas of expertise
- Machine Learning Techniques
- Medical Data Processing
- Fractal Analysis
- Medical Information Systems
- Decision Fusion Techniques
education
- Post-Doctorate: Faculty of Automatic Control and Computers, POLITEHNICA University of Bucharest
- Ph.D.: Faculty of Automatic Control and Computers, POLITEHNICA University of Bucharest
- M.Sc.: Faculty of Automatic Control and Computers, POLITEHNICA University of Bucharest
- B.Sc.: Faculty of Automatic Control and Computers, POLITEHNICA University of Bucharest
Loretta Ichim is a Professor at the Department of Automation and Industrial Informatics, Faculty of Automatic Control and Computers, POLITEHNICA University of Bucharest, with over 20 years of experience in both teaching and research.
Loretta Ichim has been a Ph.D. supervisor in Systems Engineering since 2019 and is a member of the Doctoral School of Automation and Computers at POLITEHNICA University of Bucharest. She leads the “Innovative Processes and Products for Quality of Life Improvement” laboratory within the PRECIS Center. Her research focuses on complex image and signal processing using AI techniques, machine learning algorithms for data processing, telemedicine, electronic health records, health information management, fractal applications in complex networks in engineering and medicine, wireless sensor networks, UAVs, and integrated smart monitoring systems.
She has published over 25 articles in specialized journals, 150 research papers in conference/workshop proceedings, 6 books/chapters, directed 4 national research projects, participated in over 12 national projects, 2 international projects, and holds 2 patents. Additionally, she has collaborated with researchers from prestigious national and international institutions and industry experts.
Selected Research Projects (Last 10 Years):
2017: Multispectral Environmental Monitoring System for Critical Areas in Energy (SMART), UEFISCDI Innovation Voucher, Project Director
2017: Multifunctional FPGA-based Image Processing Module for Industrial Robotics Applications (PRIMA), UEFISCDI Innovation Voucher, Project Director
2017: Intelligent Multisensor Node Network for Indoor Monitoring (SMARD), UEFISCDI Innovation Voucher, Project Director
2016-2018: Multi-Drone System for Flood Effects Evaluation (SIMUL), UEFISCDI/PN-III-CERC-CO-BG-2016
2017-2019: Integrated Multi-Agent Aerial Robotic System for Terrestrial Region Exploration (MAARS), STAR-ROSA Program
2018-2020: Integrated Smart Monitoring System, UAV–WSN–IoT, for Precision Agriculture (MUWI), NETIO Project, Operational Competitiveness Program (POC)
2020-2024: HALYomorpha halys Identification: Innovative ICT Tools for Monitoring and Sustainable Management of Pests (HALY ID), ERA NET COFUND, ICT-AGRI-FOOD, 2019 Joint Call
Memberships & Editorial Roles:
IEEE Member
APNNS Member (Asia Pacific Neural Network Society), 2020
Scientific Committee Member: IWSSS (International Workshop on Systems Safety & Security)
Associate Editor: Various international conferences and journals, including ICIAP 2017, ICSTCC 2018, ICARCV 2018, ICONIP 2019, and MED 2024
Top publications
– Popescu D., Ichim L., Stoican F., Orchard monitoring based on unmanned aerial vehicles and image processing by artificial neural networks: a systematic review, Front. Plant Sci., Sec. Technical Advances in Plant Science, Vol. 14, 2023, https://doi.org/10.3389/fpls.2023.1237695.
– Popescu D., Dinca A., Ichim L., Angelescu N., New trends in detection of harmful insects and pests in modern agriculture using artificial neural networks. a review, Front. Plant Sci., Sec. Technical Advances in Plant Science, Vol. 14, 2023, https://doi.org/10.3389/fpls.2023.1268167.
– Ichim L., Mitrica R.-I., Serghei M.-O., Popescu D., Detection of malignant skin lesions based on decision fusion of ensembles of neural networks, Cancers, Vol. 15, 4946, 2023, https://doi.org/10.3390/cancers15204946.
– Popescu D., Stanciulescu A., Pomohaci M.D., Ichim L., Decision support system for liver lesion segmentation based on advanced convolutional neural network architectures. Bioengineering, Vol. 9, 467, 2022, https://doi.org/10.3390/bioengineering9090467.
– Popescu D., El-khatib M., Ichim L., Skin lesion classification using collective intelligence of multiple neural networks, Sensors, Vol. 22, No. 12, 4399, 2022, https://doi.org/10.3390/s22124399.
– Popescu D, El-Khatib M, El-Khatib H, Ichim L., New Trends in Melanoma Detection Using Neural Networks: A Systematic Review. Sensors, Vol. 22, No. 2, 496, 2022, https://doi.org/10.3390/s22020496.
– Ichim L., Popescu D., Melanoma detection using an objective system based on multiple connected neural networks, IEEE Access, vol. 8, pp. 179189-179202, 2020, https://doi.org/10.1109/ACCESS.2020.3028248.
– Ichim, L., Popescu, D., Segmentation of vegetation and flood from aerial images based on decision fusion of neural networks, Remote Sensing, Vol. 12, No. 15, 2490, pp. 1-29, 2020, https://doi.org/10.3390/rs12152490.
The core purpose of PRECIS is to enhance its infrastructure within National University for Science and Technology POLITEHNICA Bucharest, driving technological advancements and technological transfer for the development of innovative engineering products, processes and new generation technologies for a better future.
Our mission is to build a safe, supportive academic enrichment space where the engineering creators can go from ideea to product, from concept to prototype and beyond.
