Posts by Collection

portfolio

publications

Quantum recurrences in a one-dimensional gas of impenetrable bosons

Published in Physical Review E, 2015

I was captivated by Fano’s formulation of the density matrix as a vector in Liouville space. Using it for the quantum particle in a box problem, I arrived at a novel description of its back-and-forth motion and used it to interpret the quantum Newton’s cradle.

Theory of entropy production in quantum many-body systems

Published in Physical Review B, 2016

In quantum mechanics, we talk about quantum observables as the entities that are measurable. In termodynamics, the entropy is a state variable, as measurable as the temperature and pressure. What is the corresponding quantum observable?

Entropy production and thermalization in the one-atom maser

Published in Physical Review E, 2016

How are thermodynamic phenomena to be interpreted at quantum scales? Failure to do this properly might lead to paradoxes, as in the Jaynes-Cummings discussion of the one-atom maser. This was a suitable testbed for my entropy-production theory.

Can a single neuron learn predictive uncertainty?

Published in Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2021

Shortly after beginning my new job as an AI researcher, I got interested in the field of uncertainty estimation in ML models. I noticed that estimating confidence intervals was similar to computing the chemical potential of an electron gas. I then began the journey.

Detection and Geovisualization of Abnormal Vessel Behavior from Video

Published in IEEE International Intelligent Transportation Systems Conference, 2021

Entering the field of anomaly detection using AI, I lead a team to develop a simple mechanism to detect abnormal vessel motion from video and notify it via RESTful services to a UI indicating the corresponding areas on a map.

Learning Representative Vessel Trajectories Using Behavioral Cloning

Published in Proceedings of the MARESEC workshop, 2022

I was asked if I wanted to supervise a Master student interested in applications of reinforcement learning. Why not? I was eager to learn! Fortunately, he was very motivated and ended up doing a nice work for predicting vessels trajectories.

Look ATME: The Discriminator Mean Entropy Needs Attention

Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Ideas from non-equilibrium thermodynamics coming back! In the GAN game for supervised image-to-image translation, the generator and discriminator don’t share information symmetrically, usually hindering equilibration … Maxwell’s demon?

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.