Skip to content
N NAIRI
Back to people
M

Mircea Nicolescu

Professor, Computer Science and Engineering

Open to new collaborations

Research interests

Computer vision Pattern recognition Analysis and interpretation of visual motion Perceptual organization Three-dimensional reconstruction Image and video segmentation Vision-based surveillance and activity recognition Human-computer and human-robot interaction

Recent publications

The ten most recent from their Google Scholar profile, newest first.

  1. Navysim 2.0: Enhanced multi-vessel simulation and analysis engine for advanced naval research

    MA Sayed, K DiArchangel, MH Raha, P Aliniya, C Brenner, M Nicolescu, .... IEEE Transactions on Games , 2026. 2026

    1 citation

  2. Two-stage mammographic density classification: unsupervised hierarchical Gabor segmentation with Vision Transformer and ConvNeXt

    P Aliniya, M Nicolescu, M Nicolescu, G Bebis. Seventh International Conference on Computer Vision and Computational … , 2026. 2026

  3. Decoding Maritime Encounters: Game‐Theoretic Feature Selection for Vessel Intent Prediction

    A Meepaganithage, D Wickramaratne, M Nicolescu, M Nicolescu. IET Intelligent Transport Systems 20 (1), e70305 , 2026. 2026

  4. Two-step data augmentation for masked face detection and recognition: Turning fake masks to real

    Y Yang, G Bebis, M Nicolescu. arXiv preprint arXiv:2512.15774 , 2025. 2025

    4 citations

  5. Simulation theory of mind for heterogeneous human-robot teams

    M Nicolescu, J Blankenburg, BA Anima, M Zagainova, P Hoseini, .... Frontiers in Robotics and AI 12, 1533054 , 2025. 2025

    4 citations

  6. Ensembles of deep one-class classifiers for multi-class image classification

    A Novotny, G Bebis, A Tavakkoli, M Nicolescu. Machine Learning with Applications 19, 100621 , 2025. 2025

    4 citations

  7. Proactive maritime threat prediction: Vessel intent classification with lstms and transformers using a sliding window approach

    A Meepaganithage, MA Sayed, M Nicolescu, M Nicolescu. 2025 IEEE 21st International Conference on Automation Science and … , 2025. 2025

    2 citations

  8. Early classification of intentions for maritime domains using deep learning models

    MA Hakim, MA Sayed, A Meepaganithage, TJ Becker, M Nicolescu, .... 2025 IEEE 21st International Conference on Automation Science and … , 2025. 2025

    2 citations

  9. Using breast density for hybrid region and pixel-level loss function

    P Aliniya, M Nicolescu, M Nicolescu, G Bebis. Machine Vision and Applications 36 (4), 78 , 2025. 2025

    1 citation

  10. Feature-aware deep learning for maritime intent recognition

    MA Sayed, MA Hakim, A Meepaganithage, M Nicolescu, M Nicolescu. 2025 IEEE International Conference on Future Machine Learning and Data … , 2025. 2025

    1 citation

All publications on Google Scholar