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Personal profile


Hello! I am an assistant professor in the Department of Data Science and Artificial Intelligence of Monash, and an affiliated lecturer of University of Cambridge. Prior to joining Monash, I was a lecturer at the Department of Electrical and Electronic Engineering of UCL, and before that a postdoc in the Language Technology Lab at University of Cambridge.

I lead a team of students working on predictive models for language (text and speech). During my PhD I worked on integrating nonparametric models and compressed data structures for predictive models on large volumes of text. In my PostDoc, I worked on multilingual NLP and Bayesian learning of neural models with their application in low-resource conditions. Since 2019 I have been working on various speech and text models in understanding, translation, and reasoning tasks. While in principle the solutions we investigate are agnostic to the underlying models, we leverage foundational large language models (for text and speech) as much as possible. Hence, in recent years my team has also been investigating various shortcomings of such models.

Research interests

  • Probing and Augmenting LLMs (verification, symbolic grounding)
  • Self-supervised learning (e.g., applications in text, speech, and graph)
  • Utilising graphs for knowledge intensive tasks (e.g., graph-to-text generation, applications in biomedical domain)
  • Deep generative models (e.g., generation, semi-supervised learning, sparsity and disentanglement)
  • Bayesian learning and inference (e.g., applications in training with small data)

Monash teaching commitment

Ehsan has experience as both the Chief Examiner and Lecturer for the following units in the Faculty of IT:

  • FIT5217 Natural Language Processing
  • FIT5212 Data Analysis for Semi-structured Data

University Service

  • Early Career Academic (ECA) Committee (2022-2023)

Community service

Program Committee

  • Association of Computational Linguistics (ACL)
  • North American Chapter of Association of Computational Linguistics (NAACL)
  • Empirical Methods in Natural Language Processing (EMNLP)
  • Association for the Advancement of Artificial Intelligence (AAAI)
  • The International Joint Conference on Artificial Intelligence (IJCAI)

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Computer Science, PhD, Scalable Non-Markovian Sequential Modelling for Natural Language Processing, MONASH UNIVERSITY

Award Date: 18 Oct 2017

Computer Science, BSc, Text summarization with harmony search algorithm, Shahid Beheshti University

Award Date: 1 Sept 2009

External positions

Affiliated Lecturer, University of Cambridge

1 Oct 202030 Sept 2024

Research area keywords

  • Natural Language Processing
  • Large Language Models
  • Deep Generative Models

Collaborations and top research areas from the last five years

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