Research

Currently I am employed as a PhD Candidate at the Division of Systems and Control, Uppsala University under the supervision of Prof. Alexander Medvedev.

My research interests include (among others):

  • Mathematical Modelling and Analysis, in particular of Biomedical Systems.
  • Applied Optimization to a variety of problems.
  • Usage of Machine Learning tools for astronomy applications and others.

In addition to these, you can find my Licentiate Thesis here.


Publications List

Journal Papers

J2. R. Cubo, M. Åström, A. Medvedev, “Optimization of Lead Design and Electrode Configuration in Deep Brain Stimulation”, International Journal On Advances in Life Sciences, vol. 8, Issue 12, pp. 76-86, 2016.
J1. R. Cubo, M. Åström, A. Medvedev, “Model-based optimization of individualized deep brain stimulation therapy”, IEEE Design & Test, vol. 33, Issue 4, pp. 74-81, 2016.

Conference Papers

C8. R. Cubo, A. Medvedev, “Individualization of a surrounding tissue model in Deep Brain Stimulation” in the 56th IEEE Conference on Decision and Control, Melbourne, Australia. (Accepted)
C7. R. Cubo, M. Fahlström, E. Jiltsova, H. Andersson, A. Medvedev, “Semi-individualized electrical models in Deep Brain Stimulation: a variability analysis” in the 1st IEEE Conference on Control Technology and Applications, Hawai’i, HI. (Accepted)
C6. R. Cubo, A. Medvedev, H. Andersson, “Deep Brain Stimulation therapies: a control-engineering perspective” in the 2017 American Control Conference, Seattle, WA. (Accepted)
C5. R. Cubo, M. Åström, A. Medvedev, “Electric Field Modeling and Spatial Control in Deep Brain Stimulation” in the 54th IEEE Conference on Decision and Control, Osaka, Japan, pp. 3846-3851, 2015.
C4. R. Cubo, M. Åström, A. Medvedev, “Model-based Optimization of Lead Configurations in Deep Brain Stimulation” in the 1st International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, Brussels, Belgium, pp. 14-19, 2015. Best paper award.
C3. K. Pelckmans, R. Cubo, “Nuclear Norms for System Identification – a direct input-output approach” in the 17th Symposium on System Identification, Beijing, China. IFAC-PapersOnLine, vol. 48, Issue 28, pp. 644-649, 2015.
C2. R. Cubo, A. Medvedev, “Accuracy of the Finite Element Method in Deep Brain Stimulation Modelling” in the 2014 IEEE Multi-Conference on Systems and Control, pp. 1479-1484, Antibes, France.
C1. R. Cubo, M. Åström, A. Medvedev, “Target coverage and selectivity in field steering brain stimulation”, in 36th Annual International Conference of the IEEE EMBS, pp. 522-525, Chicago, IL, 2014.

Abstracts

A3. E. Jiltsova, R. Cubo, M. Fahlström, A. Medvedev, E-M. Larsson, J. Wikström, D. Nyholm, “Bilateral directional lead stimulation of the subthalamic nucleus in patients with Parkinson’s disease evaluated with the aid of patient-specific electric field estimations demonstrates good clinical outcome” in International Neuromodulation Society 13th World Congress, Edinburgh, Scotland, 2017.
A2. R. Cubo, E. Jiltsova, M. Fahlström, H. Andersson, A. Medvedev, “Optimization of deep brain stimulation by means of a patient-specific mathematical model” in XXIInd Congress of the European Society for Stereotactic and Functional Neurosurgery, 2016.
A1. R. Cubo, M. Åström, A. Medvedev, “Stimulation field coverage and target structure selectivity in field steering brain stimulation”, Mov. Disord., vol. 29, no. S1, pp. S198-S199, 2014.


Teaching

  • Spring 2017: Introduction to Computer Control Systems (Labs)
  • Autumn 2016: Automatic Control II (Labs), Project in Embedded Systems (Assistant)
  • Spring 2016: Introduction to Computer Control Systems (Tutorials/Development)
  • Autumn 2015: Automatic Control II (Labs), Project in Embedded Systems (Assistant)
  • Autumn 2014: Automatic Control II (Labs), Project in Embedded Systems (Assistant), Introduction to Computer Control Systems (Labs)
  • Autumn 2013: Introduction to Computer Control Systems (Labs)