People

Dr Rodrigo Ramele

Senior Research Officer
School of Computer Science and Electronic Engineering (CSEE)
Dr Rodrigo Ramele

Profile

Biography

I am a Senior Research Officer at the Brain-Computer Interfaces and Neural Engineering (BCI-NE) lab at the University of Essex, working on a US-UK Bilateral Academic Research Initiative (BARI) project led by Prof. Riccardo Poli, looking at human-AI collaborative decision-making. Previously, I completed my Ph.D in Brain Computer Interfaces at the Instituto Tecnológico de Buenos Aires (Argentina) in 2018, working on the analysis of Electroencephalographic signals using Computer Vision techniques. I also completed a Graduate Research Specialization in Robotics and Bioengineering from Tohoku University (Japan). Finally, I hold a Graduate Specialization in Cryptography from the Instituto Enseñanza Superior M.Savio (Argentina) and I have experience working professionally as a software engineer for several companies and as Assistant Professor in Artificial Intelligence, Computer Vision, Robotics and Signal Processing.

Publications

Journal articles (6)

Ramele, R., Villar, AJ. and Santos, JM., Report: EPOC Emotiv EEG Basics

Francisco, B., Juan, M., Natalia, N., Jose, V., Rodrigo, R. and Miguel, SJ., (2022). Training a Gaming Agent on Brainwaves. IEEE Transactions on Games. 14 (1), 85-92

Gambini, J., Hurovitz, S., Chan, D. and Ramele, R., (2022). Object Detection and Statistical Analysis of Microscopy Image Sequences. ELCVIA Electronic Letters on Computer Vision and Image Analysis. 21 (1), 47-58

Bianchi, L., Buniak, EA., Ramele, R. and Santos, JM., (2021). A Control Strategy for a Tethered Follower Robot for Pulmonary Rehabilitation. IEEE Transactions on Medical Robotics and Bionics. 3 (1), 210-219

Ramele, R., Villar, AJ. and Santos, JM., (2019). Histogram of Gradient Orientations of Signal Plots Applied to P300 Detection. Frontiers in Computational Neuroscience. 13, 43-

Ramele, R., Villar, A. and Santos, J., (2018). EEG Waveform Analysis of P300 ERP with Applications to Brain Computer Interfaces. Brain Sciences. 8 (11), 199-199

Conferences (4)

Chan, D., Winter, U., Schaiquevich, P., Ramele, R. and Gambini, J., (2020). Time Estimation of Topotecan Penetration in Retinoblastoma Cells Through Image Sequence Analysis

Howlin, M., Chan, D., Ramele, R. and Gambini, J., (2019). Topotecan Penetration Assessment in Retinoblastoma Cells using Shannon Entropy and Coefficient of Variation

Ramele, R., Villar, AJ. and Santos, JM., (2016). BCI classification based on signal plots and SIFT descriptors

Ramele, R., Villar, AJ. and Santos, JM., (2015). A Brain Computer Interface Classification Method Based on SIFT Descriptors