Dr Deepak Mishra
Faculty: Engineering
Fields of Research (FoR): Network engineering, Signal processing, Wireless communication systems and technologies (incl. microwave and millimetrewave), Circuits and systems, Engineering electromagnetics, Photovoltaic power systems, Electrical engineering not elsewhere classified, Power electronics, Machine learning not elsewhere classified, Optimisation, Electrical Engineering, Wireless Communications, Signal Processing, Computer Communications Networks, Circuits and Systems
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Faculty: Engineering
Fields of Research (FoR): Network engineering, Signal processing, Wireless communication systems and technologies (incl. microwave and millimetrewave), Circuits and systems, Engineering electromagnetics, Photovoltaic power systems, Electrical engineering not elsewhere classified, Power electronics, Machine learning not elsewhere classified, Optimisation, Electrical Engineering, Wireless Communications, Signal Processing, Computer Communications Networks, Circuits and Systems
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Deepak Mishra received the B.Tech.
Dr Mohammad Rowshan
Faculty: Engineering
Fields of Research (FoR): Coding, information theory and compression, Communications engineering, Wireless communication systems and technologies (incl. microwave and millimetrewave), Signal processing
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Faculty: Engineering
Fields of Research (FoR): Coding, information theory and compression, Communications engineering, Wireless communication systems and technologies (incl. microwave and millimetrewave), Signal processing
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Mohammad Rowshan is a research associate (or a postdoctoral researcher) in the school of electrical engineering and telecommunications (EE&T), where he serves as a co-supervisor and a casual le
Dr Jacky Chin
Faculty: Engineering
Fields of Research (FoR): Dynamics, vibration and vibration control, Signal processing, Theoretical and applied mechanics, Modelling and simulation, Tribology
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Faculty: Engineering
Fields of Research (FoR): Dynamics, vibration and vibration control, Signal processing, Theoretical and applied mechanics, Modelling and simulation, Tribology
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Jacky (Zhan Yie) Chin recently completed his PhD with thesis entitled “Condition monitoring of gears using transmission error” and works in the
Associate Professor Pietro Borghesani
Faculty: Engineering
Fields of Research (FoR): Dynamics, vibration and vibration control, Signal processing, Mechanical engineering asset management
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Faculty: Engineering
Fields of Research (FoR): Dynamics, vibration and vibration control, Signal processing, Mechanical engineering asset management
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After a 1.5 year experience at McKinsey and Co.
Dr Mohammad Karimi Moridani
Faculty: Science
Fields of Research (FoR): Machine learning, Deep learning, Data mining and knowledge discovery, Image processing, Signal processing
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Faculty: Science
Fields of Research (FoR): Machine learning, Deep learning, Data mining and knowledge discovery, Image processing, Signal processing
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Dr Matt Woolley
Faculty: UNSW Canberra
Fields of Research (FoR): Quantum optics and quantum optomechanics, Quantum engineering systems (incl. computing and communications), Signal processing, Control engineering
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Faculty: UNSW Canberra
Fields of Research (FoR): Quantum optics and quantum optomechanics, Quantum engineering systems (incl. computing and communications), Signal processing, Control engineering
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Scholarships of $35k AUD for domestic and international students are available for Masters and PhD candidates in the areas of Quantum Optomechanics, Quantum Control, and Quantum Optics.
Dr Wade Smith
Faculty: Engineering
Fields of Research (FoR): Dynamics, vibration and vibration control, Signal processing, Modelling and simulation, Theoretical and applied mechanics, Mechanical engineering asset management, Tribology
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Faculty: Engineering
Fields of Research (FoR): Dynamics, vibration and vibration control, Signal processing, Modelling and simulation, Theoretical and applied mechanics, Mechanical engineering asset management, Tribology
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Wade Smith is a Research Fellow with the School of Mechanical and Manufacturing Engineering.
Professor David Scott Taubman
Faculty: Engineering
Fields of Research (FoR): Image and video coding, Image processing, Signal processing, Coding, information theory and compression
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Faculty: Engineering
Fields of Research (FoR): Image and video coding, Image processing, Signal processing, Coding, information theory and compression
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Affiliation
Professor and Deputy Head of School (Research), School of Electrical Engineering and Telecommunications (EE&T), UNSW Sydney, Australia
Dr Sirojan Tharmakulasingam
Faculty: Engineering
Fields of Research (FoR): Machine learning, Deep learning, Artificial intelligence, Signal processing, Data engineering and data science, Pattern recognition, High performance computing
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Faculty: Engineering
Fields of Research (FoR): Machine learning, Deep learning, Artificial intelligence, Signal processing, Data engineering and data science, Pattern recognition, High performance computing
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Dr Sirojan Tharmakulasingam is a Research Associate | Research and Development Coordinator with the Signals, Information & Machine Intelligence lab, UNSW Sydney.
Professor Andrew Dempster
Faculty: Engineering
Fields of Research (FoR): Navigation and position fixing, Satellite-based positioning, Satellite, space vehicle and missile design and testing, Satellite communications, Signal processing, Navigation and Position Fixing, Satellite, Space Vehicle and Missile Design, Signal Processing, Satellite Communications
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Faculty: Engineering
Fields of Research (FoR): Navigation and position fixing, Satellite-based positioning, Satellite, space vehicle and missile design and testing, Satellite communications, Signal processing, Navigation and Position Fixing, Satellite, Space Vehicle and Missile Design, Signal Processing, Satellite Communications
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Andrew Dempster is a Professor with the School of Electrical Engineering and Telecommunications. He is Director of the Australian Centre for Space Engineering Research (ACSER).
Dr Vidhyasaharan Sethu
Faculty: Engineering
Fields of Research (FoR): Signal processing, Machine learning, Statistical data science, Speech recognition, Artificial intelligence, Pattern recognition, Deep learning, Neural networks
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Faculty: Engineering
Fields of Research (FoR): Signal processing, Machine learning, Statistical data science, Speech recognition, Artificial intelligence, Pattern recognition, Deep learning, Neural networks
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Dr Vidhyasaharan Sethu is a Senior Lecturer with the School of Electrical Engineering and Telecommunications. His primary research interests are in the field of speech signal processing.