Profile image of Ye Zhu

Dr Ye Zhu

STAFF PROFILE

Position

Senior Lecturer, Computer Science

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Qualifications

Doctor of Philosophy, Monash University, 2017

Contact

Biography

Dr Ye Zhu is a senior lecturer of computer science at the School of Information Technology at Deakin University. He is also the Data to Intelligence (D2i) Research Centre HDR coordinator and Master of Data Science Course CPL Officer. He received a PhD degree in Artificial Intelligence with a Mollie Holman Medal for the best doctoral thesis of the year from Monash University in 2017. Dr Zhu joined Deakin University as a post-doc research fellow in complex system data analytics in July 2017 and then became a lecturer in Feb 2019. Dr Zhu is an IEEE senior member and ACM member.

His research works focus on clustering analysis, anomaly detection, similarity learning and their applications for pattern recognition. He has secured several research grants of around AUD$640,000 in total for interdisciplinary and industrial research. Dr Zhu has published over 40 papers in top-tier conferences and journals, including SIGKDD, VLDB, ICML, IJCAI, AAAI, PAKDD, AIJ, ISJ, TKDE, PRJ, JAIR and MLJ. He has served as Program Chair and Program Committee for many top international conferences, such as SIGKDD, AAAI and IJCAI. In addition, he recently conducted several tutorials/workshops about anomaly detection at leading computer science conferences such as KDD22, IJCAI23, PAKDD23, ECML23 and WACV24. He obtained both an Early Career Researcher Award and a Teaching and Learning Award at the School of IT recently.

Read more on Ye's profile

Research interests

Clustering analysis
Anomaly detection
Similarity learning
Unsupervised learning

Units taught

SIT718: Real World Analytics

SIT741: Statistical Data Analysis

SIT742: Modern Data Science

Knowledge areas

Data Mining, Machine Learning, Pattern Recognition

Conferences

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

International Conference on Very Large Databases

International Joint Conference on Artificial Intelligence

AAAI Conference on Artificial Intelligence

International Conference on Machine Learning

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Research groups

Data Analytics Research Lab (DARL)

https://blogs.deakin.edu.au/darl

Data to Intelligence Research Centre (D2I)

https://data2intelligence.deakin.edu.au/

Awards

Mollie Holman Medal for the best doctoral thesis of the year from Monash University in 2017.

School of Information Technology Research Award from Deakin University in 2020.

School of Information Technology Teaching and Learning Award from Deakin University in 2021.

School of Information Technology Leadership Award from Deakin University in 2022.

Publications

Filter by

2024

A multimodal fusion network with attention mechanisms for visual-textual sentiment analysis

C Gan, X Fu, Q Feng, Q Zhu, Y Cao, Y Zhu

(2024), Vol. 242, pp. 1-12, Expert Systems With Applications, Amsterdam, The Netherlands, C1

journal article

Ripple Knowledge Graph Convolutional Networks for Recommendation Systems

C Li, Y Cao, Y Zhu, D Cheng, C Li, Y Morimoto

(2024), Machine Intelligence Research, C1

journal article

Automation and Orchestration of Zero Trust Architecture: Potential Solutions and Challenges

Y Cao, S Pokhrel, Y Zhu, R Doss, G Li

(2024), pp. 1-24, Machine Intelligence Research, Berlin, Germany, C1

journal article

Detecting Change Intervals with Isolation Distributional Kernel

Y Cao, Y Zhu, K Ting, F Salim, H Li, L Yang, G Li

(2024), Vol. 79, pp. 273-306, Journal of Artificial Intelligence Research, C1

journal article

A new distributional treatment for time series anomaly detection

K Ting, Z Liu, L Gong, H Zhang, Y Zhu

(2024), The VLDB journal, Berlin, Germany, C1

journal article

Distribution-Based Trajectory Clustering

Z Wang, Y Zhu, K Ting

(2024), pp. 1379-1384, ICDM 2023 : Proceedings of the IEEE International Conference on Data Mining 2023, Shanghai, China, E1

conference
2023

A novel feature-based framework enabling multi-type DDoS attacks detection

L Zhou, Y Zhu, Y Xiang, T Zong

(2023), Vol. 26, pp. 163-185, World Wide Web, C1

journal article

Clustering-enhanced stock price prediction using deep learning

M Li, Y Zhu, Y Shen, M Angelova

(2023), Vol. 26, pp. 207-232, World Wide Web, Berlin, Germany, C1

journal article

Modelling host population support for combat adversaries

M Zuparic, S Shelyag, M Angelova, Y Zhu, A Kalloniatis

(2023), Vol. 74, pp. 928-943, Journal of the Operational Research Society, London, Eng., C1

journal article

`Friend or foe' and decision making initiative in complex conflict environments

Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu, Alexander Kalloniatis

(2023), Vol. 18, pp. e0281169-e0281169, PLOS ONE, United States, C1

journal article

The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms

Xin Han, Ye Zhu, Kai Ting, Gang Li

(2023), Vol. 139, pp. 1-17, Pattern Recognition, Amsterdam, The Netherlands, C1

journal article

CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network

Junhao Xiao, Chenquan Gan, Qingyi Zhu, Ye Zhu, Gang Liu

(2023), Vol. 141, pp. 1-12, Applied Soft Computing, Amsterdam, The Netherlands, C1

journal article

Convolutional autoencoder based on latent subspace projection for anomaly detection

Qien Yu, Chen Li, Ye Zhu, Takio Kurita

(2023), Vol. 214, pp. 48-59, Methods, Amsterdam, The Netherlands, C1

journal article

Anomaly detection of vectorized time series on aircraft battery data

Moting Su, Wenjie Zhao, Ye Zhu, Donglan Zha, Yushu Zhang, Peng Xu

(2023), Vol. 227, pp. 1-10, Expert Systems with Applications, Amsterdam, The Netherlands, C1

journal article

An overview of clustering methods with guidelines for application in mental health research

Caroline Gao, Dominic Dwyer, Ye Zhu, Catherine Smith, Lan Du, Kate Filia, Johanna Bayer, Jana Menssink, Teresa Wang, Christoph Bergmeir, Stephen Wood, Sue Cotton

(2023), Vol. 327, pp. 1-28, Psychiatry Research, Amsterdam, The Netherlands, C1

journal article

Kernel-based clustering via Isolation Distributional Kernel

Y Zhu, K Ting

(2023), Vol. 117, pp. 1-16, Information Systems, Amsterdam, The Netherlands, C1

journal article

Mitigating the Impact of a False Message Through Sequential Release of Clarifying Messages

K Huang, X Yang, L Yang, Y Zhu, G Li

(2023), pp. 1-14, IEEE Transactions on Network Science and Engineering, Piscataway, N.J., C1

journal article

Social tie-driven coupling propagation of user awareness and information in Device-to-Device communications

C Gan, A Liu, Q Zhu, Y Zhu, Y Xiang, J Liu

(2023), Vol. 237, pp. 1-12, Computer Networks, Amsterdam, The Netherlands, C1

journal article

Image Anomaly Detection With Semantic- Enhanced Augmentation and Distributional Kernel

M Wang, Y Zhu, G Li, G Liu, B Yang

(2023), pp. 163-170, HPCC/DSS/SmartCity/DependSys 2022 : Proceedings of the 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application Combined Conference, Hainan, China, E1

conference

An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering

Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Hong Li, Maia Angelova Turkedjieva, Gang Li

(2023), Vol. 13935, pp. 197-209, PAKDD 2023 : Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part I, Osaka, Japan, E1

conference

Kernel-Based Feature Extraction for Time Series Clustering

Yuhang Liu, Yi Zhang, Yang Cao, Ye Zhu, Nayyar Zaidi, Chathu Ranaweera, Gang Li, Zhu Qingyi

(2023), pp. 276-283, KSEM 2023 : Proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, Guangzhou, China, E1

conference

Towards a Persistence Diagram that is Robust to Noise and Varied Densities

Hang Zhang, Hang Zhang, Kaifeng Zhang, Kaifeng Zhang, Kai Ting, Kai Ting, Ye Zhu, Ye Zhu

(2023), pp. 1-21, ICML 2023 : Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, E1

conference

An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark

C Li, Y Cao, Y Zhu, J Zhang, A Annisa, D Cheng, H Tang, S Jiang, K Maruyama, Y Morimoto

(2023), Vol. 14120 LNAI, pp. 35-43, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1

conference
2022

Hierarchical clustering that takes advantage of both density-peak and density-connectivity

Y Zhu, K Ting, Y Jin, M Angelova

(2022), Vol. 103, Information Systems, C1

journal article

Weighted dynamic time warping for traffic flow clustering

M Li, Y Zhu, T Zhao, M Angelova

(2022), Vol. 472, pp. 266-279, Neurocomputing, Amsterdam, The Netherlands, C1

journal article

Point-Set Kernel Clustering

K Ting, J Wells, Y Zhu

(2022), pp. 1-12, IEEE Transactions on Knowledge and Data Engineering, Piscataway, N.J., C1

journal article

A feature selection-based method for DDoS attack flow classification

Lu Zhou, Ye Zhu, Tianrui Zong, Yong Xiang

(2022), Vol. 132, pp. 67-79, Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, C1

journal article

Isolation Kernel Estimators

K Ting, T Washio, J Wells, H Zhang, Y Zhu

(2022), Vol. 65, Knowledge and Information Systems, C1

journal article

Differentiating acute from chronic insomnia with machine learning from actigraphy time series data

S Rani, S Shelyag, C Karmakar, Ye Zhu, R Fossion, J Ellis, S Drummond, M Angelova

(2022), Vol. 2, pp. 1-15, Frontiers in Network Physiology, Lausanne, Switzerland, C1

journal article

A Comprehensive Feature Importance Evaluation for DDoS Attacks Detection

Lu Zhou, Ye Zhu, Yong Xiang

(2022), pp. 353-367, ADMA 2022 : Proceedings of the 17th Advanced Data Mining and Applications International Conference 2022, Sydney, N.S.W., E1

conference

Identification of Stock Market Manipulation with Deep Learning

Jillian Tallboys, Ye Zhu, Sutharshan Rajasegarar

(2022), Vol. 13087, pp. 408-420, Advanced Data Mining and Applications, Sydney, Australia, E1

conference

Streaming Hierarchical Clustering Based on Point-Set Kernel

X Han, Y Zhu, K Ting, D Zhan, G Li

(2022), pp. 525-533, KDD '22 : Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2022, Washington, D.C., E1

conference

A New Distributional Treatment for Time Series and An Anomaly Detection Investigation

K Ting, Z Liu, H Zhang, Y Zhu

(2022), Vol. 15, pp. 2321-2333, VLDB 2022 : Proceedings of the International Conference on Very Large Databases Endowment 2022, Sydney, N.S.W., E1

conference
2021

Anomaly detection of aircraft lead-acid battery

W Zhao, Y Zhang, Y Zhu, P Xu

(2021), Vol. 37, pp. 1186-1197, Quality and Reliability Engineering International, C1

journal article

Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model

M Zuparic, M Angelova, Y Zhu, A Kalloniatis

(2021), Vol. 95, Communications in Nonlinear Science and Numerical Simulation, C1

journal article

CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities

Y Zhu, K Ting, M Carman, M Angelova

(2021), Vol. 117, Pattern Recognition, C1

journal article

A machine learning model for multi-night actigraphic detection of chronic insomnia: Development and validation of a pre-screening tool

S Kusmakar, C Karmakar, Y Zhu, S Shelyag, S Drummond, J Ellis, M Angelova

(2021), Vol. 8, Royal Society Open Science, England, C1

journal article

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel

Ye Zhu, Kai Ting

(2021), Vol. 71, pp. 667-695, Journal of Artificial Intelligence Research, Palo Alto, Calif., C1

journal article

Differential analysis of gene regulatory networks modeled with structural equation models

Yan Li, Dayou Liu, Yungang Zhu, Jie Liu

(2021), Vol. 12, pp. 9181-9192, Journal of Ambient Intelligence and Humanized Computing, C1-1

journal article

Systematic evaluation of abnormal detection methods on gas well sensor data

Xichen Tang, Jinlong Wang, Ye Zhu, Robin Doss, Xin Han

(2021), pp. 1-6, ISCC 2021 : Proceedings of the 2021 IEEE Symposium on Computers and Communications, Athens, Greece, E1

conference
2020

Cloud-assisted privacy-conscious large-scale Markowitz portfolio

Y Zhang, J Jiang, Y Xiang, Y Zhu, L Wan, X Xie

(2020), Vol. 527, pp. 548-559, Information sciences, Amsterdam, The Netherlands, C1

journal article

Density estimates on the unit simplex and calculation of the mode of a sample

M Angelova, G Beliakov, S Shelyag, Y Zhu

(2020), Vol. 35, pp. 850-868, International Journal of Intelligent Systems, C1

journal article

Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer

S Kusmakar, S Shelyag, Y Zhu, D Dwyer, P Gastin, M Angelova

(2020), Vol. 8, pp. 90266-90279, IEEE Access, C1

journal article

Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data

M Angelova, C Karmakar, Y Zhu, S Drummond, J Ellis

(2020), Vol. 8, pp. 74413-74422, IEEE Access, C1

journal article

A technical survey on statistical modelling and design methods for crowdsourcing quality control

Y Jin, M Carman, Y Zhu, Y Xiang

(2020), Vol. 287, Artificial Intelligence, C1

journal article

A Sparse Bayesian Learning Method for Structural Equation Model-Based Gene Regulatory Network Inference

Yan Li, Dayou Liu, Jianfeng Chu, Yungang Zhu, Jie Liu, Xiaochun Cheng

(2020), Vol. 8, pp. 40067-40080, IEEE Access, C1-1

journal article
2019

Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms

K Ting, Y Zhu, M Carman, Y Zhu, T Washio, Z Zhou

(2019), Vol. 108, pp. 331-376, Machine learning, New York, N.Y., C1

journal article

Data-driven natural gas spot price forecasting with least squares regression boosting algorithm

M Su, Z Zhang, Y Zhu, D Zha

(2019), Vol. 12, Energies, C1

journal article

Commutative fragile zero-watermarking and encryption for image integrity protection

M Li, D Xiao, Y Zhu, Y Zhang, L Sun

(2019), Vol. 78, pp. 22727-22742, Multimedia tools and applications, New York, N.Y., C1

journal article

Data driven natural gas spot price prediction models using machine learning methods

M Su, Z Zhang, Y Zhu, D Zha, W Wen

(2019), Vol. 12, Energies, C1

journal article

Density-based clustering using approximate natural neighbours

Maia Angelova, Gleb Beliakov, Ye Zhu

(2019), Vol. 85, APPLIED SOFT COMPUTING, C1

journal article

Second-Order Markov Assumption Based Bayes Classifier for Networked Data With Heterophily

Sa Dong, Dayou Liu, Ruochuan Ouyang, Yungang Zhu, Lina Li, Tingting Li, Jie Liu

(2019), Vol. 7, pp. 34153-34161, IEEE Access, C1-1

journal article

Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL

Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang

(2019), Vol. 7, pp. 53667-53676, IEEE Access, C1-1

journal article

Nearest-neighbour-induced isolation similarity and its impact on density-based clustering

Xiaoyu Qin, Kai Ting, Ye Zhu, Vincent Lee

(2019), Vol. 33, pp. 4755-4762, Proceedings of the Combined Conferences : 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, Hawaii, E1

conference
2018

Isolation-based anomaly detection using nearest-neighbor ensembles

T Bandaragoda, K Ting, D Albrecht, F Liu, Y Zhu, J Wells

(2018), Vol. 34, pp. 968-998, Computational intelligence, Chichester, Eng., C1

journal article

Local contrast as an effective means to robust clustering against varying densities

B Chen, K Ting, T Washio, Y Zhu

(2018), Vol. 107, pp. 1621-1645, Machine learning, New York, N.Y., C1

journal article

Grouping points by shared subspaces for effective subspace clustering

Y Zhu, K Ting, M Carman

(2018), Vol. 83, pp. 230-244, Pattern recognition, Amsterdam, The Netherlands, C1

journal article

User Activity Pattern Analysis in Telecare Data

M Angelova, J Ellman, H Gibson, P Oman, S Rajasegarar, Y Zhu

(2018), Vol. 6, pp. 33306-33317, IEEE Access, C1

journal article

Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks

Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang

(2018), Vol. 6, pp. 4750-4758, IEEE Access, C1-1

journal article

Leveraging label category relationships in multi-class crowdsourcing

Y Jin, L Du, Y Zhu, M Carman

(2018), Vol. 10938, pp. 128-140, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1

conference

A distance scaling method to improve density-based clustering

Y Zhu, K Ting, M Angelova

(2018), Vol. 10939, pp. 389-400, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1

conference

Distinguishing question subjectivity from difficulty for improved crowdsourcing

Y Jin, Mark Carman, Ye Zhu, Wray Buntine

(2018), Vol. 95, pp. 192-207, ACML 2018 : Proceedings of the 10th Asian Conference on Machine Learning Research, Beijing, China, E1

conference
2017

Gaussian convex evidence theory for ordered and fuzzy evidence fusion

Yungang Zhu, Hongying Duan, Xinhua Wang, Baokui Zhou, Guodong Wang, Radu Grosu

(2017), Vol. 33, pp. 2843-2849, Journal of Intelligent & Fuzzy Systems, C1-1

journal article

Ordered proposition fusion based on consistency and uncertainty measurements

Dayou Liu, Yungang Zhu, Ni Ni, Jie Liu

(2017), Vol. 60, Science China Information Sciences, C1-1

journal article
2016

Density-ratio based clustering for discovering clusters with varying densities

Y Zhu, K Ting, M Carman

(2016), Vol. 60, pp. 983-997, Pattern recognition, Amsterdam, The Netherlands, C1-1

journal article

Intelligent CPSS and its application to health care computing

Dayou Liu, Bo Yang, Shang Gao, Yungang Zhu, Yong Lai

(2016), Vol. 59, Science China Information Sciences, C1-1

journal article

Overcoming key weaknesses of distance-based neighbourhood methods using a data dependent dissimilarity measure

K Ting, Y Zhu, M Carman, Y Zhu, Z Zhou

(2016), pp. 1205-1214, KDD 2016 : Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, California, E1-1

conference
2015

Selective and incremental fusion for fuzzy and uncertain data based on probabilistic graphical model

Yungang Zhu, Dayou Liu, Yong Li, Xinhua Wang

(2015), Vol. 29, pp. 2397-2403, Journal of Intelligent & Fuzzy Systems, C1-1

journal article

Bivariate probability-based anomaly detection

H Lou, Y Zhu

(2015), pp. 1-6, BESC 2014 : International Conference on Behavior, Economic and Social Computing (BESC), Shanghai, China, E1-1

conference
2014

Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton

Xuehua Zhao, Daoliang Li, Bo Yang, Chao Ma, Yungang Zhu, Huiling Chen

(2014), Vol. 24, pp. 585-596, Applied Soft Computing, C1-1

journal article
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A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres

Yungang Zhu, Dayou Liu, Radu Grosu, Xinhua Wang, Hongying Duan, Guodong Wang

(), Vol. 17, pp. 2049-2049, Sensors, C1-1

journal article

Funded Projects at Deakin

Other Public Sector Funding

Multiple networks in dynamical combat modelling and critical phenomena.

Prof Maia Angelova Turkedjieva, Dr Ye Zhu

Department of Defence

  • 2018: $12,778

Intelligent Sensor processing for Enhancing Defence Decision Support.

Prof Maia Angelova Turkedjieva, Dr Ye Zhu, A/Prof Tim Wilkin, Dr Dan Dwyer, Dr Alex Kalloniatsis, Prof Paul Gastin

Defence Science Institute

  • 2019: $30,000
  • 2018: $20,000

Adversarial decision making networks and directed fires with non-combatant populations.

Prof Maia Angelova Turkedjieva, Dr Ye Zhu, Dr Sergiy Shelyag

DSTO Grant - Research - Defence Science & Technology Organisation

  • 2019: $30,000

Modelling networked combat, adversarial C2 and information operations.

Prof Maia Angelova Turkedjieva, Dr Sergiy Shelyag, Dr Ye Zhu

Department of Defence

  • 2020: $30,000

AI-empowered photovoltaic systems for sustainable buildings.

A/Prof Hong Xian Li, Dr Ye Zhu, Prof Tony Arnel

Innovation Connections

  • 2024: $24,980

Industry and Other Funding

Explore the association rules between the fundamentals and short-term price dynamics

Dr Ye Zhu

MITA Capital Management LLC

  • 2021: $21,384

AI-empowered photovoltaic systems for sustainable buildings.

A/Prof Hong Xian Li, Dr Ye Zhu, Prof Tony Arnel

IAPMO Oceana Pty Ltd

  • 2023: $49,960

Other Funding Sources

Augmenting Cyber Defence Capability (ACDC).

Prof Gang Li, Dr Luxing Yang, Dr Nayyar Zaidi, Dr Ye Zhu, Prof Rajesh Vasa, Prof Kon Mouzakis, Prof Robin Ram Mohan Doss, Dr Thanh Thi Nguyen

Cyber Security Research Centre Limited

  • 2024: $39,000
  • 2023: $156,000
  • 2022: $32,199

Socrates: Software Security with a focus on critical technologies.

A/Prof Lei Pan, Dr Syed Wajid Ali Shah, Prof Robin Ram Mohan Doss, Dr Zubair Baig, Prof Jemal Abawajy, Prof Shiri Krebs, Dr Jayson Lamchek, Dr Shamsul Huda, Dr Muna Al-Hawawreh, Dr Naeem Syed, Dr Jack Li, Dr Ye Zhu, Dr Frank Jiang, A/Prof William Yeoh, Prof Chang-Tsun Li, A/Prof Lennon Chang, Prof Patrick Emerton, Dr Hourieh Khalajzadeh, Dr Van-Hau Trieu, Dr Yanjun Zhang, Dr Leo Zhang

Cyber Security Research Centre Limited

  • 2024: $60,488
  • 2023: $120,976

Supervisions

Principal Supervisor
2023

Man Li

Thesis entitled: Weighted Dynamic Time Warping for Time Series Analysis

Doctor of Philosophy (Information Technology), School of Information Technology