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 Learning,
Deep Learning
Knowledge Graphs,
Graph Mining, and
Natural Language Processing.
My project proposal on "Knowledge-Based Hallucination Detection & Mitigation" with an application to the biomedical domain has been accepted by Hi Paris! DIM-AI4IDF for funding. We will soon have a PhD position.
I am part of the consortium of two networking grants COST ACTION GOBLIN and the Neurosymbolic AI for Medicine.
The newest version of YAGO 4.5 accepted at SIGIR 2024 is now available online!
We are organizing an exciting challenge on Anomaly Detection on Dynamic Knowledge Graphs at ISWC 2024.
The 7th edition of our Workshop series DL4KG (Deep Learning and Large Language Models for Knowledge Graphs) will be held at the International Conference on Knowledge Discovery in Databases (KDD2024). Stay tuned for more details!
Superb news about the acceptance of the EuroTech University Alliance visiting researcher grant for visiting the Technical University of Munich w/ Maribel Acosta Deibe Institut Polytechnique de Paris #neurosymbolicai
I am the program chair of EKAW 2024 to be held in Amsterdam, the Netherlands.
I am co-chairing the Research and Innovation track of Semantics 2024 to be held in Amsterdam, the Netherlands.
I am co-editor of the Special Issue on Trustworthy Neurosymbolic AI at the Neurosymbolic AI Journal along with Leilani Gilpin (UC Santa Cruz), Sabrina Kirrane (Vienna University), and Eugene Vasserman (Kansas State University).
Quick links: Publications, Teaching, Softwares.
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 with 3 Ph.D. students.
Topics covered: Knowledge Graph Completion using Embeddings, News Recommender Systems, Zero-shot learning for Multilingual Sentiment Analysis & Hate Speech Detection.
Post Doctoral researcher (2017-2019) at the National Research Center (CNR) in Rome & University of Bologna, Italy with Aldo Gangemi.
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 with Aldo Gangemi.
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.