I have become Area Editor for the Artificial Intelligence for Transportation journal from Elsevier!

Artificial Intelligence for Transportation is a peer-reviewed journal dedicated to advancing the integration of machine learning (ML) and artificial intelligence (AI) into the field of transportation. The journal focuses on innovative research that leverages AI and ML to address critical challenges in understanding, designing, planning, operating, and managing sustainable, safe, and efficient multimodal transportation systems.

You can read more about the journal and find information on how to submit your articles here.

I gave an invited talk for the popular Autonomy Talks series. The talk is available here.

I’m happy to share that our Industrial PhD project on “Hierarchical Demand Forecasting and Reconciliation in Shipping Networks” with Mærsk has been granted by the Innovations Fund Denmark (IFD).

I’m happy to share that the first beta version of our Python library, PyDCML, has been released: https://mlsm.man.dtu.dk/pydcml/intro.html

PyDCML is a Python library for fast implementation and scalable inference of Bayesian Discrete Choice Models that makes it easy to leverage flexible state-of-the-art modelling techniques from Machine Learning, while remaining interpretable and preserving the links with economic theories established by Daniel McFadden [Ref1].

PyDCML uses PyTorch on the backend in order to enable stochastic backpropagation, automatic differentiation and GPU-accelerated computation. In doing so, PyDCML aims at enabling flexible and expressive Choice Modeling, unifying the best of modern Machine Learning and Bayesian modeling with Discrete Choice Theory.

I have joined the Editorial Advisory Board of Transportation Research Part C: Emerging Technologies.

My DFF Project 1 proposal on “Proactive traffic control through AI and Big Data” has been granted!

Starting from January 2020, I’m an Associate Professor at DTU! You can check my DTU page here.

Our Horizon 2020 project entitled “SHOW: SHared automation Operating models for Worldwide adoption” has been granted! Follow the details in the project website: https://show-project.eu/

Starting from July 2018, I’m an Assistant Professor at DTU! You can check my DTU page here.

My Ph.D. thesis has been recognized with the best Ph.D. thesis award by the Portuguese Association for Pattern Recognition (APRP) and also with an Honourable mention at the best Ph.D. thesis award by Portuguese Association for Artificial Intelligence (APPIA). Press article here.

I have been awarded a 2-year H.C. Ørsted Postdoc – COFUND grant. The H.C. Ørsted Postdoc programme is co-funded by Marie Curie Actions. The programme is named after Hans Christian Ørsted, discoverer of electromagnetism and founder of the Denmark Technical University. COFUNDPostdocDTU achieves the goals of Marie Curie COFUND by increasing the European-wide mobility possibilities for training and career development of experienced researchers. More information about the programme can be found here.