Margaret Lech

Professor Margaret Lech

Discipline Leader, Department of Electrical & Electronic Engineering

Details

Open to

  • Masters Research or PhD student supervision

About

Professor Lech holds an MSc in Physics from the University of Maria Curie-Sklodowska (UMCS) in Poland and a PhD in Electrical Engineering from the University of Melbourne. She worked as a Research Fellow at Monash University and the Bionic Ear Institute. In 1998, she joined RMIT and progressed to her current position as a Professor. She has co-authored over 160 research papers in artificial intelligence, machine learning, and signal processing. Her research team contributed groundbreaking techniques for automatically detecting emotion and clinical depression from speech signals. For her work in this area, she was awarded an International Patent, and she won the Telstra Innovation Challenge 2010. Her pioneering work extends to modelling and analysing emotional interactions in conversations, detecting interpersonal trust and modelling cognitive load. Margaret has co-supervised over 30 PhD students and four Postdoctoral Fellows. She received the Vice-Chancellor's Research Supervision Excellence Award in 2013 and the RMIT Award for Excellence in Graduate Research in 2019. Her past research grants include VPAC, ARC Linkage, DSI, AOARD, and DSTG. She is currently a co-investigator on the Office of National Intelligence Discovery and ARC Discovery grants.

Research fields

  • 4611 Machine learning
  • 400607 Signal processing

UN sustainable development goals

  • 9 Industry, Innovation and Infrastructure

Academic positions

  • Professor
  • RMIT University
  • School of Engineering
  • Melbourne, Australia
  • 2019 – Present
  • Associate Professor
  • RMIT University
  • School of Engineering
  • Melbourne, Australia
  • 2014 – 2018
  • Senior Lecturer
  • RMIT University
  • School of Electrical and Computer Engineering
  • Melbourne, Australia
  • 2006 – 2014
  • Lecturer
  • RMIT University
  • School of Electrical and Computer Engineering
  • Melbourne, Australia
  • 1998 – 2005
  • Research Fellow
  • RMIT University
  • The Bionic Ear Institute, Co-Operative Research Centre for Cochlear Implant, Speech and Hearing Research
  • Melbourne, Australia
  • 1996 – 1998
  • Research Fellow
  • Monash University
  • Department of Electrical Engineering
  • Melbourne, Australia
  • 1993 – 1996

Supervisor projects

  • Artificial neural networks for versatile applications
  • 3 Apr 2024
  • Real Time Medicine
  • 11 Aug 2023
  • Real-Time Conversion of Speakers Voice: A Machine Learning Approach
  • 10 Feb 2023
  • Multi-Agent Robot System: Investigation on Trajectory Planning based on Visual System for Mobile Robot and Coordination Control of Multi-Agent System
  • 2 Dec 2021
  • Societal optimisation using machine learning and AI
  • 27 Aug 2021
  • Cyber and Communication Networks Security In Smart Grids.
  • 25 Aug 2020
  • Neural Network System for Multimodal and Multilabel Classification: A Sleep Diagnosis Example
  • 15 Apr 2020
  • Improving Satellite Connectivity Using Artificial Intelligence and Inter-Satellite Links
  • 23 Dec 2019
  • Towards New Global Optimization Paradigms
  • 21 Mar 2019
  • Computer Vision Techniques Applied to Automatic Biological Object Segmentation and Tracking 
  • 16 Jul 2018
  • Computational Inference of Trustworthiness in Social Figures through Analysis of Speech Acoustic, Textual, and Visual Signals
  • 16 Nov 2017
  • 3D Object Recognition using Correspondence Grouping and Deep Learning Techniques
  • 13 Sep 2017
  • Deep Learning Techniques for the Fine Art and Australian Aboriginal Painting Analysis
  • 3 Jul 2017
  • Computational Speech Acquisition for Articulatory Synthesis
  • 1 Mar 2017
  • Neural Network Based Image Representation for Small Scale Object Recognition
  • 3 Jun 2015
  • Graph-based Human Pose Estimation Using Neural Networks
  • 2 Mar 2015

Teaching interests

Digital signal processing, audio engineering, biomedical image and signal processing, and machine learning projects.

Research interests

Machine learning, signal processing, speech and image processing.
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.