Kutluyil Dogancay received the BS degree with honours in electrical and electronic engineering from Bosphorus University in 1989, the MSc degree in communications and signal processing from Imperial College, University of London, in 1992, and the PhD degree in telecommunications engineering from The Australian National University in 1996. Since November 1999 he has been with University of South Australia, where he is currently a professor in the UniSA STEM Unit. Between 2018-2020 he was Associate Head: Research and Innovation in School of Engineering. In 2012 he was appointed Assistant Dean of Research Education for the Division of Information Technology, Engineering and the Environment, and served in this role until 2015. During that... Read more
About me
Kutluyil Dogancay received the BS degree with honours in electrical and electronic engineering from Bosphorus University in 1989, the MSc degree in communications and signal processing from Imperial College, University of London, in 1992, and the PhD degree in telecommunications engineering from The Australian National University in 1996. Since November 1999 he has been with University of South Australia, where he is currently a professor in the UniSA STEM Unit. Between 2018-2020 he was Associate Head: Research and Innovation in School of Engineering. In 2012 he was appointed Assistant Dean of Research Education for the Division of Information Technology, Engineering and the Environment, and served in this role until 2015. During that time, he also acted as Dean of Research for a total period of 13 months.
Professor Dogancay's research interests span defence and telecommunication applications of statistical and adaptive signal processing. His research has been funded by the ARC, DST Group and industry through competitive grants and research agreements. He has published more than 180 refereed journal and conference papers, defence reports and two books (Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms, and Partial-Update Adaptive Signal Processing: Design, Analysis and Implementation). His collaboration with Tellabs Inc resulted in two US patents on partial-update adaptive filters. He serves as a consultant to defence and private industry in signal processing, communications, and simulation and modelling related projects. He has participated in the technical program committees of several international conferences, including the European Signal Processing Conference (EUSIPCO), IEEE Sensor Array and Multichannel Conference (SAM), and IEEE Workshop on Statistical Signal Processing (SSP). He was the Tutorials Chair of the 2014 IEEE Workshop on Statistical Signal Processing Workshop (SSP 14), and the Signal Processing and Communications Program Chair of the Information, Decision and Control Conference (IDC 2007).
Professor Dogancay is a member of the Editorial Board of Signal Processing. He has received numerous awards, including DST/UniSA certificate of recognition for two defence projects, finalist for Academic of the Year in 2019 Australian Defence Industry Awards, 2015 Best Researcher Award of School of Engineering, and 2005 Tall Poppy Science Award of the Australian Institute of Political Science. He is a past chair of the IEEE South Australian Communications and Signal Processing Chapter, an associate member of the Sensor Array and Multichannel (SAM) Technical Committee of the IEEE Signal Processing Society, and was an elected member of the Signal Processing Theory and Methods (SPTM) Technical Committee. In 2012 he became a Fellow of the Governor's Leadership Foundation (GLF) Program.
About me
About me
Doctor of Philosophy (Telecommunications Engineering ) Australian National University
Research
Excludes commercial-in-confidence projects.
Research into Artificial Intelligence (AI) Agents and Data Analytics Algorithms for JOAD’s Simulation Frameworks, Defence Science and Technology Group, 19/09/2019 - 30/01/2021
Optimal Target Detection for Marine Radars Using Waveform Diversity, Redarc Electronics Pty Ltd, 01/01/2020 - 31/12/2020
Optimal Target Detection for Marine Radars Using Waveform Diversity, Raytheon Anschutz GmbH, 01/01/2020 - 31/12/2020
FIA055 Ind - Passive Radar Development for BlueBottle, Solinnov Pty Ltd, 12/11/2019 - 12/11/2020
Novel methods to integrate compressive sensing techniques - LMA Future Submarine Work Package, Lockheed Martin Australia Electronic Systems Ptd Ltd, 12/12/2019 - 31/07/2020
Research in software algorithms and modelling techniques for CHOPPA, Defence Science and Technology Group, 25/01/2018 - 31/01/2019
Research into Artificial Intelligence (AI) agents for JOAD's CHOPPA simulation framework, Defence Science and Technology Group, 24/07/2017 - 31/12/2018
Applications of Compressive Sensing Techniques, Defence Science and Technology Group, 01/09/2017 - 01/06/2018
Research into Artificial Intelligence (AI) Agents and Algorithm Development for JOAD's Simulation Frameworks, Cwth Dept of Defence - Defence Support Group, 10/10/2016 - 16/12/2017
Target Inversion Using a Single Metal Detector: A Scoping Study, MineLab Electronics Pty Ltd, 17/11/2016 - 30/06/2017
Compressive Sensing Methods for High Resolution Radar Imaging, Defence Science & Technology Organisation, 01/08/2016 - 30/06/2017
Reinforcement learning models for coordination of multiple EW decoys for protection of naval task group against multiple threat missiles, Cwth Dept of Defence - Defence Support Group, 06/10/2016 - 31/05/2017
Alternate Navigation for Trusted Autonomy, Defence Science & Technology Organisation - Business & Commercialisation Office, 19/10/2016 - 01/05/2017
Artificial Intelligence (AI) Agents for CHOPPA, Defence Science & Technology Organisation, 01/01/2016 - 30/12/2016
Sparse Signal Representation Methods for High-Resolution Radar Imaging, Cwth Dept of Defence - Defence Support Group, 01/12/2015 - 30/06/2016
Optimisation of Artificial Intelligence Agents, Sensors and Communication for CHOPPA Framework, Defence Science & Technology Organisation - Business & Commercialisation Office, 09/12/2014 - 31/12/2015
Optimisation of the closed-loop opeartion research simulation tool, Defence Science & Technology Organisation - Business & Commercialisation Office, 01/12/2011 - 30/12/2015
PhD project with top-up scholarship: Fast subspace tracking and target detection from high-dimensional images
Subspace tracking is a classical problem of signal processing. In a streaming setting, data vectors are generated sequentially over time, and the goal of subspace tracking is to estimate the evolving low-dimensional subspace that explains most of the data variability without having to store all the data history in an online fashion at a low complexity. In recent years, it has been recognised that a low-dimensional subspace can be estimated and tracked reliably even in high dimensional data cases. In many applications however, the data may have additional structural properties, which, if harnessed properly, can greatly improve the subspace tracking performance and the subsequent signal processing tasks such as target detection. Furthermore, there are scenarios where the streamed data may be partially observed or contaminated by outliers. These complications impose significant and unconventional constraints on the problem of subspace tracking, which is an essential building block for many inference tasks in signal processing and machine learning. The aim of this project is to develop new algorithms to improve the performance of subspace tracking in such scenarios.
If you are an Australian citizen with an honours or master degree in engineering, mathematics or a related discipline, and wish to do a PhD on the above topic, contact Professor Dogancay by email.
Research
Research since 2008 is shown below. To see earlier years visit ORCID, ResearcherID or Scopus
Open access indicates that an output is open access.
| Year | Output |
|---|---|
| 2019 |
1
|
| 2019 |
Open access
6
4
|
| 2017 |
Open access
40
31
|
| 2015 |
61
51
|
| 2012 |
91
78
|
| Year | Output |
|---|---|
| 2019 |
1
|
| 2008 |
57
|
| Year | Output |
|---|---|
| 2020 |
|
| 2020 |
Open access
2
1
|
| 2020 |
4
3
|
| 2019 |
Open access
|
| 2019 |
4
2
|
| 2019 |
Open access
6
4
|
| 2019 |
Open access
5
3
|
| 2019 |
5
5
|
| 2018 |
Open access
3
2
|
| 2018 |
8
2
|
| 2018 |
Open access
16
14
|
| 2018 |
Open access
7
5
|
| 2018 |
Open access
1
1
|
| 2018 |
Open access
8
8
|
| 2017 |
Open access
|
| 2017 |
Open access
40
31
|
| 2017 |
22
18
|
| 2017 |
Open access
48
39
|
| 2016 |
62
53
|
| 2016 |
Open access
27
20
|
| 2016 |
Open access
25
22
|
| 2015 |
Open access
7
4
1
|
| 2015 |
Open access
12
12
6
|
| 2015 |
Open access
15
12
|
| 2015 |
Open access
26
25
|
| 2015 |
61
51
|
| 2015 |
30
26
|
| 2014 |
16
13
|
| 2014 |
15
15
|
| 2014 |
44
41
|
| 2014 |
Open access
41
38
3
|
| 2014 |
78
74
|
| 2014 |
37
24
|
| 2014 |
14
12
|
| 2014 |
11
10
|
| 2013 |
8
6
|
| 2012 |
16
13
|
| 2012 |
6
6
|
| 2012 |
5
5
|
| 2012 |
4
4
|
| 2012 |
13
13
|
| 2012 |
21
19
|
| 2012 |
91
78
|
| 2011 |
14
12
|
| 2011 |
8
8
|
| 2010 |
279
226
|
| 2010 |
Open access
30
23
|
| 2008 |
Open access
42
37
|
| 2008 |
68
57
|
| 2008 |
107
85
|
| 2008 |
Open access
29
19
|
| Year | Output |
|---|---|
| 2020 |
Open access
|
| 2020 |
Open access
|
| 2019 |
Open access
1
|
| 2019 |
Open access
|
| 2019 |
Open access
1
|
| 2018 |
Open access
2
1
|
| 2018 |
4
1
|
| 2018 |
2
|
| 2017 |
4
2
|
| 2016 |
|
| 2016 |
7
5
|
| 2016 |
Open access
9
7
|
| 2016 |
Open access
11
11
|
| 2016 |
5
4
|
| 2016 |
2
1
|
| 2015 |
Open access
3
1
|
| 2015 |
Open access
5
4
|
| 2015 |
Open access
8
4
|
| 2015 |
24
21
|
| 2015 |
Open access
7
5
|
| 2015 |
20
7
|
| 2014 |
4
2
|
| 2014 |
6
4
|
| 2014 |
7
7
|
| 2014 |
Open access
13
|
| 2014 |
3
1
|
| 2014 |
12
11
|
| 2013 |
2
2
|
| 2013 |
7
3
|
| 2013 |
15
13
|
| 2013 |
10
8
|
| 2013 |
8
8
|
| 2013 |
8
1
|
| 2013 |
3
1
|
| 2012 |
|
| 2012 |
5
|
| 2012 |
3
|
| 2012 |
5
|
| 2012 |
8
7
|
| 2011 |
|
| 2011 |
1
1
|
| 2011 |
3
|
| 2011 |
4
|
| 2011 |
2
|
| 2011 |
4
1
|
| 2010 |
3
|
| 2010 |
Open access
5
6
|
| 2010 |
|
| 2010 |
Open access
|
| 2010 |
15
12
|
| 2009 |
21
|
| 2009 |
|
| 2009 |
Open access
4
|
| 2009 |
Open access
1
|
| 2009 |
3
|
| 2009 |
Open access
11
4
|
| 2008 |
3
|
| 2008 |
1
1
|
| 2008 |
Open access
|
| 2008 |
12
9
|
| 2008 |
3
|
Research
External engagement & recognition
| Organisation | Country |
|---|---|
| Aalto University | FINLAND |
| Australian National University | AUSTRALIA |
| CSIRO Australia (Commonwealth Scientific Industrial Research Organisation) | AUSTRALIA |
| Curtin University | AUSTRALIA |
| Deakin University | AUSTRALIA |
| Defence Science and Technology Group | AUSTRALIA |
| Defence Science and Technology Organisation | AUSTRALIA |
| Monash University | AUSTRALIA |
| National Research Council | ITALY |
| niversity of Notre Dame | UNITED STATES |
| Northwestern Polytechnical University | CHINA |
| Sichuan University | CHINA |
| Southwest Jiao Tong University | CHINA |
| Southwest University Of Science And Technology | CHINA |
| The University of Notre Dame Australia | AUSTRALIA |
| Universita Degli Studi Di Napoli Parthenope | ITALY |
| University of Adelaide | AUSTRALIA |
| University of Maryland | UNITED STATES |
| University of Melbourne | AUSTRALIA |
| University of Napoli Parthenope | ITALY |
| University of New South Wales | AUSTRALIA |
| University of Newcastle | AUSTRALIA |
| University of Queensland | AUSTRALIA |
| University of South Australia | AUSTRALIA |
| University of Sydney | AUSTRALIA |
| University of Western Australia | AUSTRALIA |
| University of Wollongong | AUSTRALIA |
| Valahia University of Targoviste | ROMANIA |
| Victoria University | AUSTRALIA |
| Xi’an Polytechnic University | CHINA |
External engagement & recognition
| Engagement/recognition | Year |
|---|---|
Editorial Board MemberEURASIP Journal on Advances in Signal Processing |
2018 |
Editorial Board MemberSignal Processing |
2018 |
Associate Member, Technical CommitteeSensor Array and Multichannel (SAM) |
2017 |
Editorial Board MemberSignal Processing |
2017 |
Editorial Board MemberEURASIP Journal on Advances in Signal Processing |
2017 |
Elected Member, Technical CommitteeSignal Processing Theory and Methods (SPTM), Institute of Electrical and Electronics Engineers International |
2017 |
Liaison for AustraliaJournal on Advances in Signal Processing, European Association for Signal, Speech and Image Processing (EURASIP) |
2017 |
MemberEuropean Association for Signal, Speech and Image Processing (EURASIP) |
2017 |
Member, Technical CommitteeInstitute of Electrical and Electronics IEEE ComSoc Signal Processing for Communications and Electronics |
2017 |
Senior MemberInstitute of Electrical and Electronics Engineers (IEEE) |
2017 |
MemberEuropean Association for Signal, Speech and Image Processing (EURASIP) |
2016 |
ChairInstitute of Electrical and Electronics IEEE Workshop on Statistical Signal Processing Workshop (SSP 14) |
2014 |
FellowGovernors Leadership Foundation |
2012 |
Elected Member, Technical CommitteeSignal Processing Theory and Methods (SPTM), Institute of Electrical and Electronics Engineers International |
2010 |
Teaching & student supervision
Teaching & student supervision
Supervisions from 2010 shown
| Thesis title | Student status |
|---|---|
| Adaptive guidance and control for smart aero propulsion | Current |
| Alternate aerial navigation technologies with inspiration from insects | Current |
| Behavioural navigation; an alternative to coordinate frames | Current |
| Biomimetic insect antennae for terrain perception with legged robots | Current |
| Biomimetic processing of direction signals | Current |
| Flight performance and control of flapping wing systems | Current |
| Free-running chip-based dual-comb vibrometry | Current |
| Improve signal processing for passive radar systems | Current |
| Localization by differential received signal strength: pseudolinear methods and optimal geometries | Current |
| Low resolution reflectance and radiation based aerial navigation aiding techniques | Current |
| Self-adaptive machine learning system for the control and optimisation of operations of internal combustion engines | Current |
| 3D distributed AOA localization, tracking and sensor path optimization | Completed |
| Design of cost-effective navigation sensors: reduced sample square-root cubature kalman filter for IMU and laser range finder concept | Completed |
| Multistatic target tracking and localization: waveform adaptation, geometry optimization, and pseudolinear estimation | Completed |
| Reduced-complexity adaptive filtering techniques for communications applications | Completed |
| Three-dimensional target motion analysis using passive measurements | Completed |
| Transmission techniques for nonlinear satellite channels | Completed |
