Biography
Professor John Yearwood is Head of the School of Information Technology at Deakin University and was previously Executive Dean, Faculty of Science and Technology, and Director, Centre of Informatics and Applied Optimization at Federation University, Australia. He was instrumental in setting up the Internet Commerce Security Laboratory with Westpac, IBM and the Victorian State Government as a joint industry-focused and data-driven laboratory on cyber security in the financial sector. He has held a number of ARC grants and was a QEII Fellow working on computational narrative and argumentation in decision science.
Professor Yearwood's work in data mining and computational intelligence has led to the development of new machine learning and hybrid learning algorithms for artificial neural networks, as well as new data and text mining and pattern recognition approaches. His work in decision science has developed the use of argumentation structures for the modelling of knowledge and collaborative decision making in complex domains. He has published over 200 journal and refereed conference papers including 2 books.
Professor Yearwood is currently a CI on the ARC funded Discovery Project 'Enhancing and supporting deliberation in multi-disciplinary team decision-making'.
He is Editor-in-Chief of the Journal of Research & Practice in Information Technology and a reviewer for a large number of journals and competitive research grant programs including the Australian Research Council grant program, the NHMRC grant program, and for the Dutch Government in the assessment of their NWO/ToKeN2000.
Publications
Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural Network
Ahsan Habib, Chandan Karmakar, John Yearwood
(2023), pp. 1-13, IEEE Journal of Biomedical and Health Informatics, C1
Deep3DCANN: A Deep 3DCNN-ANN framework for spontaneous micro-expression recognition
S Thuseethan, S Rajasegarar, J Yearwood
(2023), Vol. 630, pp. 341-355, Information Sciences, Amsterdam, The Netherlands, C1
Short text similarity measurement using context-aware weighted biterms
S Yang, G Huang, B Ofoghi, J Yearwood
(2022), Vol. 34, pp. 1-11, Concurrency Computation, London, Eng., C1
A global training model for beat classification using basic electrocardiogram morphological features
S Sumesh, J Yearwood, S Huda, S Ahmad
(2022), Vol. 70, pp. 4503-4521, Computers, Materials and Continua, Encino, Calif., C1
The multiphase course timetabling problem
R Esmaeilbeigi, V Mak-Hau, J Yearwood, V Nguyen
(2022), Vol. 300, pp. 1098-1119, European Journal of Operational Research, C1
Robust Federated Averaging via Outlier Pruning
M Uddin, Y Xiang, J Yearwood, L Gao
(2022), Vol. 29, pp. 409-413, IEEE Signal Processing Letters, Piscataway, NJ, C1
T Chuong, V Mak-Hau, J Yearwood, R Dazeley, M Nguyen, T Cao
(2022), pp. 1-32, Annals of Operations Research, New York, N.Y., C1
B Ofoghi, M Mahdiloo, J Yearwood
(2022), Vol. 244, pp. 1-13, Knowledge-Based Systems, Amsterdam, The Netherlands, C1
Robustness of electrocardiogram signal quality indices
S Rahman, C Karmakar, I Natgunanathan, J Yearwood, M Palaniswami
(2022), Vol. 19, pp. 1-15, Journal of the Royal Society Interface, London, Eng., C1
Blockchain-Enabled Federated Learning: A Survey
Youyang Qu, Md Uddin, Chenquan Gan, Yong Xiang, Longxiang Gao, John Yearwood
(2022), pp. 1-33, ACM Computing Surveys, New York, N.Y., C1
EmoSeC: Emotion recognition from scene context
S Thuseethan, S Rajasegarar, J Yearwood
(2022), Vol. 492, pp. 174-187, Neurocomputing, Amsterdam. The Netherlands, C1
Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-Convolution
A Habib, C Karmakar, J Yearwood
(2022), Vol. PP, pp. 1-12, IEEE Journal of Biomedical and Health Informatics, United States, C1
Federated Learning via Disentangled Information Bottleneck
Md Uddin, Yong Xiang, Xuequan Lu, John Yearwood, Longxiang Gao
(2022), pp. 1-14, IEEE Transactions on Services Computing, Piscataway, N.J., C1
S Janarthan, S Thuseethan, S Rajasegarar, J Yearwood
(2022), Vol. 202, Computers and Electronics in Agriculture, C1
A Real-Time Tunable ECG Noise-Aware System for IoT-Enabled Devices
S Rahman, C Karmakar, J Yearwood, M Palaniswami
(2022), Vol. 22, pp. 23277-23285, IEEE Sensors Journal, C1
Performance of a Convolutional Neural Network Derived from PPG Signal in Classifying Sleep Stages
A Habib, M Motin, T Penzel, M Palaniswami, J Yearwood, C Karmakar
(2022), Vol. PP, pp. 1-15, IEEE Transactions on Biomedical Engineering, United States, C1
A Haakenstad, J Yearwood, N Fullman, C Bintz, K Bienhoff, M Weaver, V Nandakumar, J Joffe, K LeGrand, M Knight, C Abbafati, M Abbasi-Kangevari, A Abdoli, R Abeldaño Zuñiga, I Adedeji, V Adekanmbi, O Adetokunboh, M Afzal, S Afzal, M Agudelo-Botero, B Ahinkorah, S Ahmad, A Ahmadi, S Ahmadi, A Ahmed, T Ahmed Rashid, B Aji, W Akande-Sholabi, K Alam, H Al Hamad, R Alhassan, L Ali, V Alipour, S Aljunid, E Ameyaw, T Amin, H Amu, D Amugsi, R Ancuceanu, P Andrade, A Anjum, J Arabloo, M Arab-Zozani, H Ariffin, J Arulappan, Z Aryan, T Ashraf, D Atnafu, A Atreya, M Ausloos, L Avila-Burgos, G Ayano, M Ayanore, S Azari, A Badiye, A Baig, M Bairwa, S Bakkannavar, S Baliga, P Banik, T Bärnighausen, F Barra, A Barrow, S Basu, M Bayati, R Belete, A Bell, D Bhagat, A Bhagavathula, P Bhardwaj, N Bhardwaj, S Bhaskar, K Bhattacharyya, Z Bhutta, S Bibi, A Bijani, B Bikbov, A Biondi, O Bolarinwa, A Bonny, H Brenner, D Buonsenso, K Burkart, R Busse, Z Butt, N Butt, F Caetano dos Santos, L Cahuana-Hurtado, L Cámera, R Cárdenas, V Carneiro, F Catalá-López, J Chandan, J Charan, P Chavan, S Chen, S Chen, S Choudhari, E Chowdhury, M Chowdhury
(2022), Vol. 10, pp. 1-29, The Lancet Global Health, Amsterdam, The Netherlands, C1-1
Mutual Information Driven Federated Learning
Md Uddin, Yong Xiang, Xuequan Lu, John Yearwood, Longxiang Gao
(2021), Vol. 32, pp. 1526-1538, IEEE Transactions on Parallel and Distributed Systems, Piscataway, N.J., C1
LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions
M Takalkar, S Thuseethan, S Rajasegarar, Z Chaczko, M Xu, J Yearwood
(2021), Vol. 212, Knowledge-Based Systems, C1
S Yang, G Huang, X Zhou, V Mak, J Yearwood
(2021), Vol. 20, pp. 341-370, International Journal of Information Technology and Decision Making, C1
Lempel-Ziv complexity of the pNNx statistics - an application to neonatal stress
M Šapina, C Karmakar, K Kramarić, M Kośmider, M Garcin, D Brdarić, K Milas, J Yearwood
(2021), Vol. 146, Chaos, Solitons and Fractals, C1
Deep Continual Learning for Emerging Emotion Recognition
S Thuseethan, S Rajasegarar, J Yearwood
(2021), pp. 1-14, IEEE Transactions on Multimedia, Piscataway, N.J., C1
Boosting Emotion Recognition in Context using Non-target Subject Information
S Thuseethan, Sutharshan Rajasegarar, John Yearwood
(2021), pp. 1-7, IJCNN 2021 : Proceedings of the International Joint Conference on Neural Networks, Shenzhen, China, E1
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices
T Nguyen, M Larsen, B O'Dea, H Nguyen, D Nguyen, J Yearwood, D Phung, S Venkatesh, H Christensen
(2020), Vol. 110, pp. 620-628, Future Generation Computer Systems, C1
H Yong, C Karmakar, R Borland, S Kusmakar, M Fuller-Tyszkiewicz, J Yearwood
(2020), Vol. 103, Addictive Behaviors, England, C1
B Fernandes, C Karmakar, R Tamouza, T Tran, J Yearwood, N Hamdani, H Laouamri, J Richard, R Yolken, M Berk, S Venkatesh, M Leboyer
(2020), Vol. 10, Translational Psychiatry, United States, C1
Complex Emotion Profiling: An Incremental Active Learning Based Approach with Sparse Annotations
S Thuseethan, S Rajasegarar, J Yearwood
(2020), Vol. 8, pp. 147711-147727, IEEE Access, C1
Deep metric learning based citrus disease classification with sparse data
S Janarthan, S Thuseethan, S Rajasegarar, Q Lyu, Y Zheng, J Yearwood
(2020), Vol. 8, pp. 162588-162600, IEEE Access, C1
Anchored vertex exploration for community engagement in social networks
Taotao Cai, Jianxin Li, Nur Hasan Haldar, Ajmal Mian, John Yearwood, Timos Sellis
(2020), pp. 409-420, ICDE 2020 : Proceedings of the IEEE 36th International Conference on Data Engineering, Dallas, Tex., E1
A mixed integer linear programming approach for soft graph clustering
V Mak-Hau, J Yearwood
(2020), pp. 1166-1171, ICDM2020 : Proceedings of IEEE's International Conference on Data Mining, Online : Sorrento, Italy, E1
Multimodal Deep Learning Framework for Sentiment Analysis from Text-Image Web Data
Selvarajah Thuseethan, Sivasubramaniam Janarthan, Sutharshan Rajasegarar, Priya Kumari, John Yearwood
(2020), pp. 267-274, WI-IAT 2020 : Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, Melbourne, Victoria, E1
Impact of ECG dataset diversity on generalization of CNN model for detecting QRS complex
Ahsan Habib, Chandan Karmakar, John Yearwood
(2019), Vol. 7, pp. 93275-93285, IEEE access, Piscataway, N.J., C1
Detecting micro-expression intensity changes from videos based on hybrid deep CNN
S Thuseethan, S Rajasegarar, J Yearwood
(2019), Vol. 11441, pp. 387-399, PAKDD 2019 : Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discoveri and Data Mining, Macau, China, E1
Emotion intensity estimation from video frames using deep hybrid convolutional neural networks
S Thuseethan, S Rajasegarar, J Yearwood
(2019), pp. 1-10, IJCNN 2019 : Proceedings of the 2019 International Joint Conference on Neural Networks, Budapest, Hungary, E1
SeShare: secure cloud data sharing based on blockchain and public auditing
L Huang, G Zhang, S Yu, A Fu, J Yearwood
(2019), WorldCIST and SecFog 2017 : World Conference on Information Systems and Technologies and Security and Privacy Issues in Fog Computing, Madeira, Portugal, E1
Deep hybrid spatiotemporal networks for continuous pain intensity estimation
S Thuseethan, S Rajasegarar, J Yearwood
(2019), Vol. 11955, pp. 449-461, APNNS 2019 : Proceedings of the 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society 2019, Sydney, N.S.W., E1
Aggregation of dependent criteria in multicriteria decision making problems by means of capacities
G Beliakov, S Boswell, T Cao, R Dazeley, V Mak-Hau, M Nguyen, T Wilkin, J Yearwood
(2019), pp. 228-234, MODSIM2019 : Supporting evidence-based decision making: the role of modelling and simulation : Proceedings of the 23rd International Congress on Modelling and Simulation, Canberra, A.C.T., E1
M Hassan, S Huda, J Yearwood, H Jelinek, A Almogren
(2018), Vol. 41, pp. 105-118, Information fusion, Amsterdam, The Netherlands, C1
A Framework for Software Defect Prediction and Metric Selection
S Huda, S Alyahya, M Mohsin Ali, S Ahmad, J Abawajy, H Al-Dossari, J Yearwood
(2018), Vol. 6, pp. 2844-2858, IEEE Access, C1
A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection
S Huda, R Islam, J Abawajy, J Yearwood, M Hassan, G Fortino
(2018), Vol. 83, pp. 193-207, Future Generation Computer Systems, C1
Detection of epileptic seizure based on entropy analysis of short-term EEG
P Li, C Karmakar, J Yearwood, S Venkatesh, M Palaniswami, C Liu
(2018), Vol. 13, PLoS ONE, United States, C1
S Huda, S Miah, J Yearwood, S Alyahya, H Al-Dossari, R Doss
(2018), Vol. 120, pp. 23-31, Journal of parallel and distributed computing, Amsterdam, The Netherlands, C1
S Huda, J Yearwood, M Hassan, A Almogren
(2018), Vol. 71, pp. 66-77, Applied Soft Computing Journal, C1
Improving chamfer template matching using image segmentation
D Nguyen, N Vu, T Do, T Nguyen, J Yearwood
(2018), Vol. 25, pp. 1635-1639, IEEE signal processing letters, Piscataway, N.J., C1
Exploring reasoning mechanisms in ward rounds: A critical realist multiple case study
P Perversi, J Yearwood, E Bellucci, A Stranieri, J Warren, F Burstein, H Mays, A Wolff
(2018), Vol. 18, BMC Health Services Research, England, C1
Multi-lag tone-entropy in neonatal stress
M Šapina, C Karmakar, K Kramarić, M Garcin, P Adelson, K Milas, M Pirić, D Brdarić, J Yearwood
(2018), Vol. 15, Journal of the Royal Society Interface, England, C1
Customized data sharing scheme based on blockchain and weighted attribute
L Huang, G Zhang, S Yu, A Fu, J Yearwood
(2018), pp. 1-6, GLOBECOM 2018 : Proceedings of the 2018 IEEE Global Communications Conference, Abu Dhabi, United Arab Emirates, E1
S Huda, S Miah, M Mehedi Hassan, R Islam, J Yearwood, M Alrubaian, A Almogren
(2017), Vol. 379, pp. 211-228, Information Sciences, C1
N Sabar, J Abawajy, J Yearwood
(2017), Vol. 21, pp. 315-327, IEEE Transactions on Evolutionary Computation, C1
S Huda, J Abawajy, M Abdollahian, R Islam, J Yearwood
(2017), Vol. 29, Concurrency and Computation: Practice and Experience, C1
N Gunaratne, M Abdollahian, S Huda, J Yearwood
(2017), Vol. 55, pp. 4948-4962, International journal of production research, Abingdon, Eng., C1
A parallel framework for software defect detection and metric selection on cloud computing
M Ali, S Huda, J Abawajy, S Alyahya, H Al-Dossari, J Yearwood
(2017), Vol. 20, pp. 2267-2281, Cluster Computing, C1
Kernel-based features for predicting population health indices from geocoded social media data
T Nguyen, M Larsen, B O'Dea, D Nguyen, J Yearwood, D Phung, S Venkatesh, H Christensen
(2017), Vol. 102, pp. 22-31, Decision Support Systems, C1
Patchwork-based multilayer audio watermarking
I Natgunanathan, Y Xiang, G Hua, G Beliakov, J Yearwood
(2017), Vol. 25, pp. 2176-2187, IEEE/ACM transactions on audio speech and language processing, Piscataway, N.J., C1
Detection of ground parrot vocalisation: A multiple instance learning approach
D Nguyen, P Ogunbona, W Li, E Tasker, J Yearwood
(2017), Vol. 142, pp. 1281-1290, Journal of the Acoustical Society of America, United States, C1
S Li, L Huang, A Fu, J Yearwood
(2017), Vol. 3, pp. 236-241, Digital Communications and Networks, C1
T Nguyen, D Nguyen, M Larsen, B O'Dea, J Yearwood, Q Phung, S Venkatesh, H Christensen
(2017), pp. 99-107, WWW 2017 : Proceedings of the 26th International World Wide Web Conference 2017, Perth, W.A., E1
Hybrids of support vector machine wrapper and filter based framework for malware detection
S Huda, J Abawajy, M Alazab, M Abdollalihian, R Islam, J Yearwood
(2016), Vol. 55, pp. 376-390, Future Generation Computer Systems, C1
Protection of Privacy in Biometric Data
I Natgunanathan, A Mehmood, Y Xiang, G Beliakov, J Yearwood
(2016), Vol. 4, pp. 880-892, IEEE Access, C1
Group decision making in health care: A case study of multidisciplinary meetings
V Sharma, A Stranieri, F Burstein, J Warren, S Daly, L Patterson, J Yearwood, A Wolff
(2016), Vol. 25, pp. 476-485, Journal of Decision Systems, C1
W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, J Yearwood, N Dimitrova, T Ho, S Venkatesh, M Berk
(2016), Vol. 18, Journal of Medical Internet Research, Canada, C1
S Huda, J Yearwood, H Jelinek, M Hassan, G Fortino, M Buckland
(2016), Vol. 4, pp. 9145-9154, IEEE Access, C1
Discriminative cues for different stages of smoking cessation in online community
T Nguyen, R Borland, J Yearwood, H Yong, S Venkatesh, D Phung
(2016), Vol. LNCS 10042, pp. 146-153, WISE 2016 : Proceedings of the 17th International Conference on Web Information Systems Engineering, Shanghai, China, E1
M Miah, J Yearwood, S Kulkarni
(2015), Vol. 66, pp. 1065-1081, Journal of the association for information science and technology, London, Eng., C1-1
A theoretical foundation of demand driven web services
Z Sun, J Yearwood
(2014), pp. 1-32, Handbook of research on demand-driven web services: theory, technologies, and applications, Hershey, Pa., B1-1
S Huda, M Abdollahian, M Mammadov, J Yearwood, S Ahmed, I Sultan
(2014), Vol. 237, pp. 857-870, European journal of operational research, Amsterdam, The Netherlands, C1-1
S Huda, J Yearwood, R Togneri
(2014), Vol. 44, pp. 1962-1977, IEEE transactions on cybernetics, Piscataway, United States, C1-1
A new loss function for robust classification
L Zhao, M Mammadov, J Yearwood
(2014), Vol. 18, pp. 697-715, Intelligent data analysis, [Amsterdam, The Netherlands], C1-1
Attribute weighted Naive Bayes classifier using a local optimization
S Taheri, J Yearwood, M Mammadov, S Seifollahi
(2014), Vol. 24, pp. 995-1002, Neural computing and applications, Berlin, Germany, C1-1
Analytics service oriented architecture for enterprise information systems
Z Sun, K Strang, J Yearwood
(2014), pp. 508-516, iiWAS2014 : Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services, Hanoi, Vietnam, E1-1
A data mining application of the incidence semirings
J Abawajy, A Kelarev, J Yearwood, C Turville
(2013), Vol. 39, pp. 1083-1093, Houston journal of mathematics, Houston, Tx., C1
A Bagirov, A Barton, H Mala-Jetmarova, A Al Nuaimat, S Ahmed, N Sultanova, J Yearwood
(2013), Vol. 57, pp. 873-886, Mathematical and computer modelling, Amsterdam, The Netherlands, C1-1
A technique for ranking friendship closeness in social networking services
Z Sun, J Yearwood, S Firmin
(2013), pp. 1-10, ACIS 2013 : Information systems: transforming the future : Proceedings of the 24th Australasian Conference on Information Systems, Melbourne, Vic., E1-1
Illicit image detection using erotic pose estimation based on kinematic constraints
M Islam, P Watters, J Yearwood, M Hussain, L Swarna
(2013), Vol. 152 Chapter 41, pp. 481-495, CISSE 2011 : Proceedings of the 2011 International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, Bridgeport, Connecticut, E1-1
Illicit image detection: an MRF model based stochastic approach
M Islam, P Watters, J Yearwood, M Hussain, L Swarna
(2013), Vol. 152 Chapter 40, pp. 467-479, CISSE 2011 : Proceedings of the International Joint Conferences on Computer, Information and Systems Sciences, and Engineering, Bridgeport, Connecticut, E1-1
Approaches for community decision making and collective reasoning: knowledge technology support
J Yearwood, A Stranieri
(2012), Hershey, Pa., A1-1
Applications of machine learning for linguistic analysis of texts
R Torney, J Yearwood, P Vamplew, A Kelarev
(2012), pp. 133-148, Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques, Hershey, Pa., B1-1
Machine learning algorithms for analysis of DNA data sets
J Yearwood, A Bagirov, A Kelarev
(2012), pp. 47-58, Machine learning algorithms for problem solving in computational applications: intelligent techniques, Hershey, Pa., B1-1
Application of rank correlation, clustering and classification in information security
G Beliakov, J Yearwood, A Kelarev
(2012), Vol. 7, pp. 935-945, Journal of networks, Oulu, Finland, C1
Derivative-free optimization and neural networks for robust regression
G Beliakov, A Kelarev, J Yearwood
(2012), Vol. 61, pp. 1467-1490, Optimization, Abingdon, England, C1
Performance evaluation of multivariate non-normal process using metaheuristic approaches
S Ahmad, M Abdollahian, M Bhatti, S Huda, J Yearwood
(2012), Vol. 20, pp. 299-315, Journal of applied statistical science, Hauppage, N.Y., C1-1
Profiling phishing activity based on hyperlinks extracted from phishing emails
J Yearwood, M Mammadov, D Webb
(2012), Vol. 2, pp. 5-16, Social network analysis and mining, Berlin, Germany, C1-1
Optimal rees matrix constructions for analysis of data
A Kelarev, J Yearwood, L Zi
(2012), Vol. 92, pp. 357-366, Journal of the Australian Mathematical Society, Cambridge, Eng., C1-1
Novel weighting in single hidden layer feedforward neural networks for data classification
S Seifollahi, J Yearwood, B Ofoghi
(2012), Vol. 64, pp. 128-136, Computers and mathematics with applications, Amsterdam, The Netherlands, C1-1
Using psycholinguistic features for profiling first language of authors
R Torney, P Vamplew, J Yearwood
(2012), Vol. 63, pp. 1256-1269, Journal of the Association for Information Science and Technology, London, Eng., C1-1
A Kelarev, A Stranieri, J Yearwood, J Abawajy, H Jelinek
(2012), pp. 93-101, AusDM 2012 : Proceedings of the 10th Australasian Data Mining Conference, Sydney, N.S.W., E1
A novel approach to optimal pump scheduling in water distribution systems
A Bagirov, A Barton, H Mala-Jetmarova, A Al Nuaimat, S Ahmed, N Sultanova, J Yearwood
(2012), pp. 618-631, WDSA 2012: 14th Water Distribution Systems Analysis Conference, 24-27 September 2012 in Adelaide, South Australia, Adelaide, S. Aust., E1-1
Integrating online social networks with e-Commerce: a CBR approach
Z Sun, S Firmin, J Yearwood
(2012), pp. 1-11, ACIS 2012 : Proceedings of the 23rd Australasian Conference on Information Systems, Geelong, Victoria, E1-1
A Kelarev, A Stranieri, J Yearwood, H Jelinek
(2012), pp. 441-446, NBis 2012 : Proceedings of the 15th International Conference on Network-Based Information Systems, Melbourne, Victoria, E1-1
Empirical investigation of consensus clustering for large ECG data sets
A Kelarev, A Stranieri, J Yearwood, H Jelinek
(2012), pp. 1-4, CBMS 2012 : Proceedings of the 2012 25th International Symposium on Computer-Based Medical Systems, Rome, Italy, E1-1
Detection of CAN by ensemble classifiers based on ripple down rules
A Kelarev, R Dazeley, A Stranieri, J Yearwood, H Jelinek
(2012), Vol. 7457, pp. 147-159, PKAW 2012 : Proceedings of the 12th International Workshop on Knowledge Management and Aquisition for Intelligent Systems, Kuching, Malaysia, E1-1
M Islam, P Watters, J Yearwood
(2011), Vol. 16, pp. 51-58, Information security technical report, Amsterdam, The Netherlands, C1-1
F Bolger, A Stranieri, G Wright, J Yearwood
(2011), Vol. 78, pp. 1671-1680, Technological forecasting and social change, Amsterdam, The Netherlands, C1-1
Optimization of matrix semirings for classification systems
D Gao, A Kelarev, J Yearwood
(2011), Vol. 84, pp. 492-503, Bulletin of the Australian mathematical society, Cambridge, Eng., C1-1
ICT change agents: global actors in financial services technology projects
J Jagodick, J Courvisanos, J Yearwood
(2011), Vol. 16, pp. 165-180, Asia pacific management review, Tainan, Taiwan., C1-1
Optimization of classifiers for data mining based on combinatorial semigroups
A Kelarev, J Yearwood, P Watters
(2011), Vol. 82, pp. 242-251, Semigroup forum, Berlin, Germany, C1-1
A novel canonical dual computational approach for prion AGAAAAGA amyloid fibril molecular modeling
J Zhang, D Gao, J Yearwood
(2011), Vol. 284, pp. 149-157, Journal of theoretical biology, Amsterdam, The Netherlands, C1-1
S Huda, J Yearwood, A Stranieri
(2011), Vol. 113, pp. 43-52, ACSC 2011 :, Perth, W.A., E1-1
Child face detection using age specific luminance invariant geometric descriptor
M Islam, P Watters, J Yearwood
(2011), pp. 34-39, ICSIPA 2011 : Proceedings of the IEEE International Conference on Signal & Image Processing Applications 2011, Kuala Lumpur, Malaysia, E1-1
S Mukherjee, J Yearwood, P Vamplew, S Huda
(2011), pp. 24-30, SNPD 2011 : Proceedings of the 2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Sydney, N.S.W., E1-1
S Mukherjee, S Huda, J Yearwood
(2011), Vol. 368, pp. 169-183, SNPD 2011 : Proceedings of the 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Sydney, N.S.W., E1-1
Internet security applications of the Munn rings
A Kelarev, J Yearwood, P Watters, X Wu, J Abawajy, L Pan
(2010), Vol. 81, pp. 162-171, Semigroup forum, New York N.Y., C1
Learning parse-free event-based features for textual entailment recognition
B Ofoghi, J Yearwood
(2010), Vol. 6464, pp. 184-193, AI 2010 : Proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence, Adelaide, S. Aust., E1-1
Optimization of multiple classifiers in data mining based on string rewriting systems
R Dazeley, A Kelarev, J Yearwood, M Mammadov
(2009), Vol. 2, pp. 41-56, Asian-European journal of mathematics, C1-1
B Ofoghi, J Yearwood, M Liping
(2009), Vol. 60, pp. 247-263, Journal of the American Society for Information Science and Technology, C1-1
Key Public Sector Individuals as ICT Change Agents: An Analysis of Australian and German Experience
J Jagodick, J Courvisanos, J Yearwood, P Braun
(2009), Vol. 31, pp. 197-212, Asia Pacific Journal of Public Administration, C1-1
Applying clustering and ensemble clustering approaches to phishing profiling
D Webb, J Yearwood, L Ma, P Vamplew, B Ofoghi, A Kelarev
(2009), pp. 25-34, AusDM 2009 : Proceedings of the Australasian Data Mining Conference, Melbourne, Victoria, E1-1
Can shallow semantic class information help answer passage retrieval?
B Ofoghi, J Yearwood
(2009), Vol. 5866, pp. 587-596, AI 2009 : Advances in Artificial Intelligence : Proceedings of the 22nd Australasian Joint Conference, Melbourne, Victoria, E1-1
B Ofoghi, J Yearwood, L Ma
(2008), Vol. 4956, pp. 430-437, ECIR 2008 : Proceedings of the 30th European Conference on Information Retrieval, Glasgow, Scotland, E1-1
B Ofoghi, J Yearwood, L Ma
(2008), Vol. 5360, pp. 192-201, AI 2008 : Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence, Auckland, N.Z., E1-1
Musa Mammadov, Alex Rubinov, John Yearwood
(2007), Vol. 7, pp. 141-167, Data Mining in Biomedicine, Boston, Mass., B1-1
Narrative-based interactive learning environments from modelling reasoning
J Yearwood, A Stranieri
(2007), Vol. 10, pp. 192-208, Educational technology and society, Palmerston North, N.Z., C1-1
B Ofoghi, J Yearwood, R Ghosh
(2007), Vol. 4830, pp. 404-414, AI 2007 : advances in artificial intelligence : Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Queensland, E1-1
R Ghosh, J Yearwood, M Ghosh, A Bagirov
(2006), Vol. 16, pp. 201-213, International journal of neural systems, Singapore, Singapore, C1-1
The generic/actual argument model of practical reasoning
J Yearwood, A Stranieri
(2006), Vol. 41, pp. 358-379, Decision support systems, Amsterdam, The Netherlands, C1-1
A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems
A Bagirov, J Yearwood
(2006), Vol. 170, pp. 578-596, European journal of operational research, Amsterdam, The Netherlands, C1-1
A semantic method to information extraction for decision support systems
B Ofoghi, J Yearwood, R Ghosh
(2006), pp. 1465-1471, AMCIS 2006 : Proceedings of the 12th Americas Information Systems Conference, Acapulco, Mexico, E1-1
A semantic approach to boost passage retrieval effectiveness for question answering
B Ofoghi, J Yearwood, R Ghosh
(2006), Vol. 48, pp. 95-101, ACSC 2006 : Proceedings of the 29th Australian Computer Science Conference, Hobart, Tasmania, E1-1
A hybrid question answering schema using encapsulated semantics in lexical resources
B Ofoghi, J Yearwood, R Ghosh
(2006), pp. 1276-1280, AI 2006: Advances in Artificial Intelligence. 19th Australian Joint Conference on Artificial Intelligence Hobart, Australia, December 4-8, 2006 Proceedings, Hobart, Tasmania, E1-1
Using association and overlapping time window approach to detect drug reaction signals
S Ivkovic, G Saunders, R Ghosh, J Yearwood
(2005), Vol. 1, pp. 1045-1053, Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet, E1-1
A fuzzy derivative approach to classification of outcomes from the ADRAC database
M Mamedov, G Saunders, J Yearwood
(2004), Vol. 11, pp. 169-179, International transactions in operational research, Chichester, Eng., C1-1
New algorithms for multi-class cancer diagnosis using tumor gene expression signatures
A Bagirov, B Ferguson, S Ivkovic, G Saunders, J Yearwood
(2003), Vol. 19, pp. 1800-1807, Bioinformatics, Oxford, Eng., C1-1
An algorithm for clustering based on non-smooth optimization techniques
A Bagirov, A Rubinov, N Soukhoroukova, J Yearwood
(2003), Vol. 10, pp. 611-617, International transactions in operational research, Chichester, Eng., C1-1
Discovering interesting association rules from legal databases
S Ivkovic, J Yearwood, A Stranieri
(2002), Vol. 11, pp. 35-47, Information and communications technology law, Abingdon, Eng., C1-1
An argumentation shell for supporting the development and drafting of legal arguments
J Yearwood, A Stranieri
(2002), Vol. 11, pp. 75-86, Information and communication technology law, Abingdon, Eng., C1-1
Argumentation structures that integrate dialectical and non-dialectical reasoning
A Stranieri, J Zeleznikow, J Yearwood
(2001), Vol. 16, pp. 331-348, Knowledge engineering review, Cambridge, Eng., C1-1
J Yearwood, R Wilkinson
(1997), Vol. 9, pp. 79-99, Artificial intelligence in medicine, Amsterdam, The Netherlands, C1-1
Problem-centred learning using computer algebra systems in the engineering curriculum
A Subic, J Yearwood, B Glover, H Mays
(1996), Vol. 21, pp. 41-54, European journal of engineering education, Abingdon, Eng., C1-1
Funded Projects at Deakin
Australian Competitive Grants
Enhancing and supporting deliberations within multidisciplinary decision teams - (transfer in 2015)
A/Prof Frada Burstein, A/Prof Andrew Stranieri, Prof John Yearwood, Prof James Warren, Dr Alan Wolff
ARC - Discovery Projects
- 2018: $9,027
- 2016: $51,698
- 2015: $25,849
ARC Research Hub for Digital Enhanced Living
Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Helen Christensen, Prof Patricia Williams, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, A/Prof Niranjan Bidargaddi, A/Prof Santu Rana, A/Prof Truyen Tran, Prof Sunil Gupta, Dr Wei Luo, A/Prof Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, Prof Finn Kensing, Prof Freimut Bodendorf, Prof James Warren, Dr Roopak Sinha, Prof A Smeaton, Mr Fonda Voukelatos, Mr John Fouyaxis, Prof John Grundy, Dr Kit Huckvale, Nicole Cockayne, David Varley, Dr Leonard Hoon, Dr Tanya Petrovich, Matthew Macfarlane, Dr Anju Kissoon Curumsing, Dr Tom McClean, Ms Sharon Grocott, Dr Scott Barnett, Prof Deborah Parker, Prof Jean-Guy Schneider, Dr Jessica Rivera Villicana, A/Prof Carsten Rudolph, Prof Nilmini Wickramasinghe, Mr Fernando Escorcia, Dr Gnana Bharathy
ARC Industrial Transformation Research Hubs
- 2021: $388,477
- 2020: $385,381
- 2019: $399,716
- 2018: $449,083
- 2017: $601,698
Blockchain-Enabled Federated Learning for Secure and Decentralised Learning
Prof Yong Xiang, Dr Longxiang Gao, Prof John Yearwood
ARC - Discovery Projects
- 2023: $70,165
- 2022: $154,074
An intelligent machine modelling assistant for combinatorial optimisation
Prof John Yearwood, A/Prof Vicky Mak, Dr Bahadorreza Ofoghi
ARC - Discovery Projects
- 2023: $67,816
- 2022: $143,266
Other Public Sector Funding
My Ultimate 4WD
Prof Rajesh Vasa, Prof Kon Mouzakis, Prof John Grundy, Prof John Yearwood, Dr Chris McCarthy
DIIS Grant - Global Innvoation Linkages Programme - Department of Industry, Innovation and Science
- 2016: $40,000
NICTA/Data61 Scholarships - School of IT
Prof John Yearwood, Prof John Grundy, A/Prof Mohamed Abdelrazek, Prof Yong Xiang, Dr Shui Yu
Data61
- 2021: $28,872
- 2020: $19,394
- 2019: $94,694
- 2018: $126,645
- 2017: $143,404
Timetabling and Data Analytics solutions for Defence. MyIP: 8308
A/Prof Vicky Mak, Prof John Yearwood
The Defence Science and Technology Group of the Department of Defence
- 2019: $162,000
- 2018: $100,000
Timetabling and Data Analytics solutions for Defence - Co-funded Post doc MyIP: 8366
A/Prof Vicky Mak, Prof John Yearwood
The Defence Science and Technology Group of the Department of Defence
- 2019: $30,000
- 2018: $30,000
Scaling Force Effectiveness Modelling and Assessment Methods.
A/Prof Vicky Mak, Prof John Yearwood, Prof Gleb Beliakov, Prof Richard Dazeley, A/Prof Tim Wilkin
The Defence Science and Technology Group of the Department of Defence
- 2021: $49,221
- 2020: $114,880
- 2019: $131,293
Simulation, Optimisation and Data Analytics Solutions for Defence Submariners.
A/Prof Vicky Mak, Prof John Yearwood
DSTO Grant - Research - Defence Science & Technology Organisation
- 2020: $141,277
- 2019: $303,450
Simulation, Optimisation and Data Analytics solutions for Defence Submarine Workforce.
A/Prof Vicky Mak, Prof John Yearwood, Prof Terry Caelli, Mr Brendan Hill
DSTO Grant - Research - Defence Science & Technology Organisation
- 2023: $257,706
- 2022: $420,474
- 2021: $419,250
- 2020: $100,000
Development of mathematical models and algorithms for Defence resource allocation problems, scheduling and optimisation problems.
A/Prof Vicky Mak, Prof John Yearwood
DSTO contract
- 2021: $61,250
- 2020: $40,000
Application of Generic Actual Argument Model to represent complex decisions and generate narratives.
Prof Richard Dazeley, Dr Sunil Aryal, Dr Bahadorreza Ofoghi, Prof John Yearwood
Department of Defence
- 2022: $30,000
Industry and Other Funding
Intelligent software engineering techniques to monitor and improve the quality of software development and managing the productivity of the developers
Dr Shamsul Huda, Prof John Yearwood, Prof Jemal Abawajy
Sparx Systems, King Saud University
- 2016: $20,000
- 2015: $40,000
My Ultimate 4WD
Prof Rajesh Vasa, Prof Kon Mouzakis, Prof John Grundy, Prof John Yearwood, Dr Chris McCarthy
Kiandra IT
- 2016: $40,000
ARC Research Hub for Digital Enhanced Living
Prof Kon Mouzakis, Prof Svetha Venkatesh, Prof Anthony Maeder, Prof Alison Hutchinson, Prof Michael Berk, Prof Ralph Maddison, Prof Abbas Kouzani, Prof Rajesh Vasa, Prof Helen Christensen, Prof Patricia Williams, Prof John Yearwood, Prof Susan Gordon, Prof David Powers, A/Prof Niranjan Bidargaddi, A/Prof Santu Rana, A/Prof Truyen Tran, Prof Sunil Gupta, Dr Wei Luo, A/Prof Mohamed Abdelrazek, Dr Felix Tan, Prof Henning Langberg, A/Prof Lars Kayser, Prof Finn Kensing, Prof Freimut Bodendorf, Prof James Warren, Dr Roopak Sinha, Prof A Smeaton, Mr Fonda Voukelatos, Mr John Fouyaxis, Prof John Grundy, Dr Kit Huckvale, Nicole Cockayne, David Varley, Dr Leonard Hoon, Dr Tanya Petrovich, Matthew Macfarlane, Dr Anju Kissoon Curumsing, Dr Tom McClean, Ms Sharon Grocott, Dr Scott Barnett, Prof Deborah Parker, Prof Jean-Guy Schneider, Dr Jessica Rivera Villicana, A/Prof Carsten Rudolph, Prof Nilmini Wickramasinghe, Mr Fernando Escorcia, Dr Gnana Bharathy
Health Metrics, Black Dog Institute, Interrelate Limited, Dementia Australia (Alzheimer's Australia) Vic Inc, Uniting NSW.ACT, Cancer Council Victoria Grant - Research, NeoProducts Pty Ltd, goAct, Uniting AgeWell, Aged Care & Housing Group Inc, Unisono Pty Ltd
- 2022: $793,130
- 2020: $553,025
- 2019: $378,745
Cybersecurity Executive Awareness Training for Department of Premier and Cabinet
Mr Damien Manuel, Prof John Yearwood, Prof Matthew Warren
SecureWorx Pty Ltd
- 2017: $10,000
Supervisions
Md Ahsan Habib
Thesis entitled: Physiological Time Series Analysis Using Deep Learning Techniques
Doctor of Philosophy (Information Technology), School of Information Technology
Thuseethan Selvarajah
Thesis entitled: Deep Emotions: In-depth Emotion Recognition using Deep Learning
Doctor of Philosophy (Information Technology), School of Information Technology
Paul Perversi
Thesis entitled: Collaborative Group Reasoning in Ward Rounds: A Critical Realist Case Study
Doctor of Philosophy (Information Technology), School of Information Technology
Md Palash Uddin
Thesis entitled: Communication-Efficient and Robust Federated Learning for Heterogeneous Data
Doctor of Philosophy (Information Technology), School of Information Technology
Taotao Cai
Thesis entitled: Efficient Computation of Influential Users in Social Networks
Doctor of Philosophy (Information Technology), School of Information Technology