Mehwish Alam
Associate Professor of Language, Knowledge, and Artificial Intelligence
I am an associate professor of Language, Knowledge, and Artificial Intelligence at Télécom Paris, Institut Polytechnique de Paris, France. I am part of the Data, Intelligence, and Graphs (DIG) team at the Laboratoire Traitement et Communication de l'information (LTCI).
Areas of Expertise:
Machine/Deep Learning,
Language Models (Foundation Models),
Knowledge Graphs,
Graph Learning, and
Natural Language Processing.
Job Offers
Masters internship position: Are Large Language Models better than the Symbolic Reasoners for Question Answering over Theory of Mind Tasks?.
What's new?
From February 24 - Feburary 28, I will be giving a block course on "Introduction to Semantic Web" at University of Heidelberg, Germany.
Our article entitled "Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs" has been accepted at ICAART 2025 as a full research track paper.
I have been visiting the Technical University of Munich for conducting research on Neurosymbolic AI.
I will be joining Dagstuhl Seminar on "(Actual) Neurosymbolic AI: Combining Deep Learning and Knowledge Graphs" in 2025!
I am part of COST ACTION GOBLIN and the Neurosymbolic AI for Medicine.
I am currently teaching a course on "Language Models and Structured Data".
Quick links: Current Projects, Publications, Softwares, Teaching, Scientific Activites.
Student Supervisions:
Team: Deep Learning, Language Models, and Knowledge Graphs, Institut Polytechnique de Paris, France.
PhD Supervisions
Pierre Epron (Current). Institute Polytechnique of Paris & INRIA Paris, France.
Berenice Jaulmes (Current). Institute Polytechnique of Paris & BNP Paribas, France.
Long-Tuan VO (Current). Institute Polytechnique of Paris, France.
Yiwen Peng (Current). Institute Polytechnique of Paris, France.
Alumni: Internship/Masters/Bachelors Supervisions
Berenice Jaulmes, Yiwen Peng, Cristian Santini, Manuel Kaschura, Radina Sofronova, Giorgio Ottolina, ...
Team: Machine Learning and Knowledge Graphs, Karlsruhe Institute of Technology, Germany.
Russa Biswas Now: Assistant Professor, Aalborg University, Denmark.
Genet Asefa Gesese Now: Department Head Machine Learning & Knowledge Graphs, FIZ-Karlsruhe, Germany.
Yiyi Chen Now: PhD Candidate, Aalborg University, Denmark.
Experience:
Senior/Post Doctoral researcher (2019-2022) at Karlsruhe Institute of Technology and FIZ-Karlsruhe, Leibniz Institute for Information Infrastructure, Germany.
Team leader: Machine Learning and Knowledge Graphs.
Post Doctoral researcher (2017-2019) at the National Research Center (CNR) in Rome & University of Bologna, Italy.
Topics: Knowledge Graph Embeddings, Frame Semantics, Figurative Language Detection, etc.
Post Doctoral researcher (2016-2017) at Laboiratoire d'Informatique Paris Nord (LIPN), University of Paris 13, Paris, France.
Topics: Knowledge Graph Embeddings, Frame Semantics, Figurative Language Detection, etc.
Education:
Ph.D. in informatics at LORIA, INRIA, Nancy Grand-Est, France.
Topics: Data Mining and Knowledge Graphs.
Ph.D. Thesis topic was "Interactive Knowledge Discovery over the Web of Data".
Erasmus Mundus Masters in Language Communication & Technology
M1 at the University of Groningen, Groningen, the Netherlands.
M2 at the University of Lorraine, Nancy, France.