STAFF PROFILE
Professor Margaret Lech
Position:
Discipline Leader, Department of Electrical & Electronic Engineering
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Phone:
+61399251028
Email:
margaret.lech@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Areas of research and expertise
- Artificial intelligence
- Conversation modelling
- Human-machine communication systems
- Emotion recognition and real-time tracking systems
- Emotionally capable technologies
- Affective computing
- Pattern recognition
- Biomedical speech and image processing
- Computational psychology
- Speech based diagnostics
- Speech and audio acoustics
Grants and awards
- 2013: Vice-Chancellor’s Research Supervision Excellence Award, RMIT, 2013.
- 2013: IETE Golden Jubilee Research Award for the Best Research Paper.
- 2013: School of Electrical and Computer Engineering, RMIT, SEED Research Grant.
- 2011: School of Electrical and Computer Engineering, RMIT, SEED Research Grant.
- 2010-2011: Winner of Telstra Innovation Challenge 2010.
- 2007-2010: Australian Research Council Linkage Project LP0776235 grant.
- 2007: RMIT Research Award.
- 2001-2002: Victorian Partnership for Advanced Computing (VPAC) Expertise Program Research Grant, (EPPNRM055.2001).
- 1996: Engineering Excellence Award, Highly Commended Award.
Google Scholar citations
- PhD in Electrical Engineering, University of Melbourne, Australia
- Postgraduate Diploma in Biomedical Engineering, Warsaw University of Technology, Poland
- Master of Science in Physics, Maria Curie-Skłodowska University, Poland
Employment history
- 2005 – Senior Lecturer, School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia
- 1998 – Lecturer , School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia
- 1996 – 1998, Research Fellow, The Bionic Ear Institute, Co-Operative Research Centre for Cochlear Implant, Speech and Hearing Research, Melbourne, Australia
- 1993 – 1996, Research Fellow, Department of Electrical Engineering, Monash University, Australia
- 1982 – 1987, Lecturer, Institute of Physics, The University of Maria Curie Sklodowska, Poland
- Cheng, Y.,Lech, M.,Wilkinson, R. (2023). Distributed Neural Network System for Multimodal Sleep Stage Detection In: IEEE Access, 11, 29048 - 29061
- Shitov, D.,Pirogova, E.,Wysocki, T.,Lech, M. (2023). Deep Reinforcement Learning for Articulatory Synthesis in a Vowel-to-Vowel Imitation Task In: Sensors, 23, 1 - 18
- Cheng, Y.,Lech, M.,Wilkinson, R. (2023). Simultaneous Sleep Stage and Sleep Disorder Detection from Multimodal Sensors Using Deep Learning In: Sensors, 23, 1 - 19
- Dakic, K.,Al Homssi, B.,Lech, M.,Hourani, A. (2023). HybNet: A Hybrid Deep Learning-Matched Filter Approach for IoT Signal Detection In: IEEE Transactions on Machine Learning in Communications and Networking, 1, 18 - 30
- Sandoval, C.,Stolar, M.,Hosking, S.,Jia, D.,Lech, M. (2022). Real-Time Team Performance and Workload Prediction From Voice Communications In: IEEE Access, 10, 78484 - 78492
- Chen, X.,Lech, M.,Wang, L. (2021). A complete key management scheme for lorawan v1.1 In: Sensors, 21, 1 - 20
- Sandoval Rodriguez, C.,Pirogova, E.,Lech, M. (2021). Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings In: IEEE Access, 9, 81969 - 81985
- Dakic, K.,Al Homssi, B.,Hourani, A.,Lech, M. (2021). LoRa Signal Demodulation Using Deep Learning, a Time-Domain Approach In: Proceedings of the IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), Helsinki, Finland, 25-28 April 2021
- Cheng, Y.,Lech, M.,Wilkinson, R. (2021). Sleep Stage Recognition from EEG Using a Distributed Multi-Channel Decision-Making System In: 2021 15th International Conference on Signal Processing and Communication Systems (ICSPCS), Sydney, Australia, 13-15 December 2021
- Syed, Z.,Syed, M.,Lech, M.,Pirogova, E. (2021). Automated Recognition of Alzheimer's Dementia Using Bag-of-Deep-Features and Model Ensembling In: IEEE Access, 9, 88377 - 88390
Note: Supervision projects since 2004
25 PhD Completions and 5 Masters by Research Completions6 PhD Current Supervisions
Digital signal processing, speech processing, psychoacoustics, image processing, system modelling and optimisation and 3-D image registration.
- Bioinspired photoreceptor and smart neural mimicking technologies. Funded by: ARC-Discovery Projects from (2024 to 2027)
- CSIRO Data61 Program Funding Agreement - Artificial Intelligence-Enabled Secure Signal Processing and Connectivity for Autonomous Sensors. Funded by: CSIRO - Next Generation Graduates Programs from (2024 to 2029)
- Neuromorphic vision sensor for real-time detection and tracking. Funded by: Office of National Intelligence National Intelligence and Security Discovery Research Grants from (2023 to 2026)
- Facial Recognition Bias Profiling: A Multi-Label Approach Research Challenge 1 – Facial Recognition Bias Profiling (Administered by University of Melbourne). Funded by: Office of National Intelligence Small Grants Program from (2020 to 2021)
- Multi-modal Bio-metric Information Analysis Using Deep Neural Networks. Funded by: Defence Science Institute (DSI) Grant for Scholarships from (2019 to 2021)