Resume

Table of Contents

For an updated CV please click here


Employment


Education


Awards


Portfolio

For a complete list of my projects, please refer to the projects page.


Technical Skills

Programming Languages
PythonPyTorch, Tensorflow, OpenCV, Pandas, Seaborn, Networkx, Matplotlib, Numpy
C++
C#
Matlab
Java
Programming Tools
Visual Studio Code
Visual Studio
Git
ROS
Unity
Latex
Android Studio

Languages


Publications

For a full list of publications, please refer to my Google Scholar Profile.

Below a list of my most recents publications:

  1. Capstick, A., Palermo, F., & Barnaghi, P. (2022). Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources. arXiv preprint arXiv:2212.02895.
  2. Palermo, F. (2022). Robotic surface exploration with vision and tactile sensing for cracks detection and characterisation. .
  3. Omarali, B., Palermo, F., Althoefer, K., Valle, M., & Farkhatdinov, I. (2022). Tactile Classification of Object Materials for Virtual Reality based Robot Teleoperation. 2022 International Conference on Robotics and Automation (ICRA).
  4. Xompero, A., Donaher, S., Iashin, V., Palermo, F., Solak, G., Coppola, C., Ishikawa, R., Nagao, Y., Hachiuma, R., & Liu, Q. (2022). The CORSMAL benchmark for the prediction of the properties of containers. IEEE Access.
  5. Palermo, F., Li, H., Capstick, A., Fletcher-Lloyd, N., Zhao, Y., Kouchaki, S., Nilforooshan, R., Sharp, D., & Barnaghi, P. (2021). Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. Research2Clinics WS @ NeurIPS 2021, arXiv preprint arXiv:2110.09868.
  6. Vitanov, I., Farkhatdinov, I., Denoun, B., Palermo, F., Otaran, A., Brown, J., Omarali, B., Abrar, T., Hansard, M., & Oh, C. (2021). A suite of robotic solutions for nuclear waste decommissioning. Robotics.
  7. Palermo, F., Rincon-Ardila, L., Oh, C., Althoefer, K., Poslad, S., Venture, G., & Farkhatdinov, I. (2021). Multi-modal robotic visual-tactile localisation and detection of surface cracks. 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE).
  8. Xompero, A., Donaher, S., Iashin, V., Palermo, F., Solak, G., Coppola, C., Ishikawa, R., Nagao, Y., Hachiuma, R., & Liu, Q. (2021). Multi-modal estimation of the properties of containers and their content: survey and evaluation. IEEE TRANSACTIONS ON MULTIMEDIA.
  9. Palermo, F., Oh, C., Althoefer, K., Poslad, S., & Farkhatdinov, I. (2021). Investigation of images of cracks via graph theory for developing an optimal exploration algorithm for a robotic manipulator. .
  10. Iashin, V., Palermo, F., Solak, G., & Coppola, C. (2021). Top-1 CORSMAL challenge 2020 submission: Filling mass estimation using multi-modal observations of human-robot handovers. Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10-15, 2021, Proceedings, Part VIII.
  11. Palermo, F., Konstantinova, J., Althoefer, K., Poslad, S., & Farkhatdinov, I. (2020). Automatic fracture characterization using tactile and proximity optical sensing. Frontiers in Robotics and AI.
  12. Palermo, F., Konstantinova, J., Althoefer, K., Poslad, S., & Farkhatdinov, I. (2020). Implementing tactile and proximity sensing for crack detection. 2020 IEEE international conference on robotics and automation (ICRA).
  13. Omarali, B., Palermo, F., Valle, M., Poslad, S., Althoefer, K., & Farkhatdinov, I. (2019). Position and velocity control for telemanipulation with interoperability protocol. Towards Autonomous Robotic Systems: 20th Annual Conference, TAROS 2019, London, UK, July 3–5, 2019, Proceedings, Part I 20.
  14. Palermo, F., Cognolato, M., Eggel, I., Atzori, M., & Müller, H. (2019). An augmented reality environment to provide visual feedback to amputees during sEMG Data Acquisitions. Towards Autonomous Robotic Systems: 20th Annual Conference, TAROS 2019, London, UK, July 3–5, 2019, Proceedings, Part II 20.
  15. Palermo, F., Cognolato, M., Gijsberts, A., Müller, H., Caputo, B., & Atzori, M. (2017). Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data. 2017 International Conference on Rehabilitation Robotics (ICORR).

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