Gholamreza (Reza) Haffari
Senior Lecturer (= North American Associate Prof.)
Director of the Graduate Diploma in Data Science
Faculty of Information Technology
Clayton, VIC 3800, Australia
Office: 131A, Bulding 63
Tel: +61 3 9905-8106
Fax: +61 3 9905-5159
My research spans three broad areas: Natural Language Processing, Machine Learning, and Health Data Analytics.
A common theme of my work is devising effective models and learning algorithms to turn raw data into information
and/or knowledge, with a particular emphasis on text and health-related data.
Understanding human language by computers has been a central goal of AI.
Human language is an intricate system; each sentence has its own grammatical structure, inter-connected
references, and set of possible meanings. The field of Natural Language Processing (NLP) aims to build computational
models of language in order to make predictions based on real-world textual data. Example applications of NLP
include machine translation, information extraction, and question answering. Tools developed for these problems are
increasingly becoming part of daily life, from speech and dialogue systems on mobile devices to structured search on
the web to real-time translation. NLP is a rich intersection of formal modeling, applied algorithms and scalable data
systems, and has served as an important application domain for related fields such as Machine Learning (ML).
My core focus is on probabilistic machine learning modelling of language applications, particularly handling uncertain or
partly observed data, sequential decision making, and structured prediction problems.
My research aligns with the Machine Learning
flagship in our faculty. In the past, I have organised the following reading groups in our faculty:
Deep Learning Reading Group,
The Machine Learning Book Reading Group, and Natural Language Processing Reading Group.
Together with Trevor Cohn, we will have a postdoc position available beginning in the first half of 2016.
The duration will be three years, and the topic is on deep learning,
semantics, and machine translation. Please feel free to contact Trevor/me
if you are interested and have a strong background in machine
learning and statistical NLP.
Dec 2015: Attended NIPS 2015 in Montreal, lots of interesting papers to read and follow up.
Nov 2015: Our grant proposal is funded: Learning Deep Semantics for Automatic Translation between Human Languages. 2016 – 2019. ARC Discovery Project with Trevor Cohn, $450K.
Sep 2015: Congratulations to my PhD student, Ajay Ganesh, for a great PhD thesis and graduation. Ajay has joined Andrew Mccallum's group in UMass-Amherst as a postdoc.
July-Aug 2015: Excited to be part of the team for
Continuous Wide-band Machine Translation workshop held in University of Washington, Seattle.
I'm looking for enthusiastic students with strong computer science/math background who wish to enroll in our strong PhD program.
Feel free to email me your CV and transcripts, and put "GSM:Graduate Studies Monash" in your email's subject.
Click here to read general advice for students interested in PhD.
Click here for information about Monash application process and scholarships.
Additionally, students applying to our Faculty are eligible to apply for Monash/NICTA scholarshipls.
Alternatively, you may be eligible to apply directly for Australian Government Scholarship AusAID.