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Esteban Bautista

Researcher in Data Science

I am an Assistant Professor at Université du Littoral Côte d’Opale, France (LISIC). Previously, I held postdoctoral positions at IMT Atlantique (LAB-STICC) and Sorbonne Université (LIP6). I did my PhD at ENS Lyon (LIP).

My research focuses on the learning, modeling, and processing of data having both temporal and relational components, such as network traffic, phone calls, financial transactions, etc. My goals are (i) to develop adapted tools for the study of such data; (ii) to develop explainable learning methods that require minimum human intervention; (iii) to develop algorithms that scale to massive datasets; and (iv) to detect important events in such data.

Interests

  • Link Streams
  • Machine Learning 
  • Signal Processing
  • Explainable AI
  • Graph Theory and Algorithms
  • Network Science
  • Anomaly Detection

Education

ENS de Lyon, under Paulo Gonçalves and Patrice Abry

National Autonomous University of Mexico (UNAM)

National Autonomous University of Mexico (UNAM)

News

Rym Guibadj, Gilles Roussel, and I are opening a PhD position on a project entitled “Learning to localize anomalies and optimize itineraries through a general AI framework for combinatorial optimization in temporal graphs” 

The full job description can be found here

Interested candidates are invited to send me an email with a CV, cover letter, transcripts from the last year of B.Sc to the last year of M.Sc. (if the latter is already available), two reference letters or the names and means of contact of two academic advisers.

Laurent Brisson, Matthieu Puigt, and I are opening a PhD position on a project entitled “Tensor Decompositions for Interpretable Machine Learning on Temporal Graphs” 

The full job description can be found here

Interested candidates are invited to send me an email with a CV, cover letter, transcripts from the last year of B.Sc to the last year of M.Sc. (if the latter is already available), two reference letters or the names and means of contact of two academic advisers.

We are opening a 6-month internship position Machine Learning Framework For Temporal Graph Exploration. 

The internship offer can be found here: here

Interested candidates are invited to send me an email with a CV, cover letter, transcripts from the last year of B.Sc to the last year of M.Sc. (if the latter is already available), two reference letters or the names and means of contact of two academic advisers.

We are opening a 6-month internship position on Change Point Detection in Temporal Graphs. 

The internship offer can be found here: here

Interested candidates are invited to send me an email with a CV, cover letter, transcripts from the last year of B.Sc to the last year of M.Sc. (if the latter is already available), two reference letters or the names and means of contact of two academic advisers.

Claire Guilloteau and I are hiring a postdoctoral researcher to work on a project entitled “Temporal Graph Auto-Encoders for Anomaly Detection in Industrial Internet of Things” 

The full job description can be found here

Interested candidates are invited to contact me by email with a cover letter and a CV. 

I am happy to announce that I will be given a series of lectures on Temporal Network Theory at the Applied Topology and Complex Networks Workshop to be held at Chennai Mathematical Institute, India. 

Take a look at the program: https://www.cmi.ac.in/~pranabendu/ATCN2024.html 

I am thrilled to announce that I will join the LISIC Laboratory at Université du Littoral Côte d’Opale as the holder of the Junior Professor Chair on IA and Numerical Transition of Industry. 

Looking forward for this exciting new chapter!

I am happy to announce that our paper

E. Bautista. L. Brisson, C. Bothorel, G. Smits, “MAD: Multi-Scale Anomaly Detection in Link Streams” (link)

has been accepted at The 17th ACM International Conference on Web Search and Data Mining (WSDM). 

I am happy to announce that our paper

N. Arhachoui, E. Bautista, M. Danisch, A. Giovanidis, L. Tabourier, “Scalable Algorithms to Measure User Influence in Social Networks

has been accepted at Lecture Notes in Social Networks, Springer. 

I am happy to announce that our paper

E. Bautista, M. Latapy, “Link Streams as a Generalization of Graphs and Time Series” (link)

has been accepted at the The Fifth IEEE International Conference on Cognitive Machine Intelligence (COGMI) 2023. 

I am happy to announce that our paper

E. Bautista, M. Latapy, “A Frequency-Structure Approach for Link Stream Analysis” (link)

has been accepted at the 2nd edition of Temporal Network Theory, Springer book.

I am happy to announce that I will be joining the Decide team of the Lab-STICC at IMT Atlantique as a postdoctoral researcher. 

I will be working on developing new algorithms for detecting anomalous events in interaction streams (temporal networks). 

Looking forward for an exciting collaboration with Cécile Bothorel, Laurent Brisson and Grégory Smits.