Biography
Dr. Bahadorreza Ofoghi is a Senior Lecturer at Deakin University, School of of Information Technology. After completing his PhD on natural language question answering systems in 2009, Bahadorreza worked as a postdoctoral research fellow at Victoria University and The Victorian Institute of Sport where he published a number of scientific articles on Bayesian modelling in elite sports. Dr. Ofoghi had a short industrial experience with a major North American company in Montreal, Canada in 2013 and upon his return to Australia, he joined National ICT Australia and then The University of Melbourne where he carried out research on the applications of knowledge engineering, machine learning, and visualization techniques in health informatics. Bahadorreza has had research collaborations with several high profile organizations within Australia and overseas in recent years, including The Victoria State's Department of Health and Human Services, The Victorian Comprehensive Cancer Centre, The Australian Institute of Judicial Administration, and The Defence Science and Technology Group.
Read more on Bahadorreza's profileResearch interests
- Machine/Deep Learning
- Natural Language Processing
- Information Retrieval
Teaching interests
- Core Computer Science subjects, e.g., programming, database technologies
- Advanced AI subjects, e.g., machine learning, information retrieval, text analytics
Knowledge areas
- Machine/Deep Learning
- Natural Language Processing
- Information Retrieval
Professional activities
Publications
Textual emotion detection in health: Advances and applications
A Saffar, T Mann, B Ofoghi
(2023), Vol. 137, Journal of Biomedical Informatics, United States, C1
Knowledge representation of mathematical optimization problems and constructs for modeling
B Ofoghi, J Yearwood
(2023), Vol. 280, pp. 1-10, Knowledge-Based Systems, Amsterdam, The Netherlands, C1
Advancing Text Summarization through the Utilization of Arbitrary Aspect Learning
Hou Ziwei, Bahadorreza Ofoghi, Nayyar Zaidi, Mammadov Musa, Huda Shamsul, Yearwood John
(2023), pp. 22-33, MDAI 2023 : Proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence 2023, Umeå, Sweden, E1
Semantic Triple-Assisted Learning for Question Answering Passage Re-ranking
Dinesh Nagumothu, Bahadorreza Ofoghi, Peter Ekland
(2023), Vol. 14189, pp. 249-264, ICDAR 2023 : Proceedings of the International Conference on Document Analysis and Recognition, San Jose, California, E1
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 survey on smart farming data, applications and techniques
S Alwis, Z Hou, Y Zhang, M Na, B Ofoghi, A Sajjanhar
(2022), Vol. 138, pp. 1-14, Computers in Industry, Amsterdam, The Netherlands, C1
B Ofoghi, M Mahdiloo, J Yearwood
(2022), Vol. 244, pp. 1-13, Knowledge-Based Systems, Amsterdam, The Netherlands, C1
Linguistic characterization of answer passages for fact-seeking question answering
B Ofoghi
(2022), pp. 821-828, SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, Online, E1
Enhanced strawberry image classification using multi-task deep neural learning
Sandya De Alwis, Bahadorreza Ofoghi, Myung Na
(2022), pp. 971-978, SAC 2022: Proceedings of the SAC 37th ACM/SIGAPP Symposium on Applied Computing, Virtual event, E1
PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora
Dinesh Nagumothu, Bahadorreza Ofoghi, Guangyan Huang, Peter Eklund
(2022), pp. 350-359, CoNLL 2022 : Proceedings of the 26th Conference on Computational Natural Language Learning, Abu Dhabi, United Arab Emirates, E1
Team technical performance characteristics and their association with match outcome in elite netball
B Ofoghi, M Chenaghlou, M Mooney, D Dwyer, L Bruce
(2021), Vol. 21, pp. 700-712, International Journal of Performance Analysis in Sport, C1
Linked data triples enhance document relevance classification
D Nagumothu, P Eklund, B Ofoghi, M Bouadjenek
(2021), Vol. 11, Applied Sciences (Switzerland), C1
Answer Passage Ranking Enhancement Using Shallow Linguistic Features
Bahadorreza Ofoghi, Armita Zarnegar
(2021), Vol. 12898, pp. 1-12, MDAI 2021 : Modeling Decisions for Artificial Intelligence 18th International Conference, MDAI 2021, Umeå, Sweden, September 27–30, 2021, Proceedings, Umeå, Sweden, E1
Short Text Similarity Measurement Using Context from Bag of Word Pairs and Word Co-occurrence
S Yang, G Huang, B Ofoghi
(2020), Vol. 1179, pp. 221-231, ICDS 2019 : Data science : 6th international conference, ICDS 2019, Ningbo, China, May 15-20, 2019, revised selected papers, Ningbo, China, E1
CommViz: visualization of semantic patterns in large social communication networks
K Verspoor, B Ofoghi, M Robles Granda
(2018), Vol. 17, pp. 66-88, Information visualization, London, Eng., C1-1
Using technology to discover more about the justice system
N Burstyner, T Sourdin, C Liyanage, B Ofoghi, J Zeleznikow
(2018), Vol. 44, pp. 1-24, Rutgers computer and technology law journal, Newark, N.J., C1-1
Textual emotion classification: An interoperability study on cross-genre data sets
Bahadorreza Ofoghi, Bahadorreza Ofoghi, Karin Verspoor, Karin Verspoor
(2017), Vol. LNCS, vol 10400, pp. 262-273, AI 2017 : Proceedings of the 30th Australasian Joint Conference on Advances in Artificial Intelligence, Melbourne, Victoria, E1-1
Performance analysis and prediction in triathlon
B Ofoghi, J Zeleznikow, C Macmahon, J Rehula, D Dwyer
(2016), Vol. 34, pp. 607-612, Journal of sports sciences, Abingdon, Eng., C1
N Burstyner,, T Sourdin,, C Liyanage,, B Ofoghi
(2016), Vol. 25, pp. 257-296, Journal of judicial administration, New York, N.Y., C1-1
Towards early discovery of salient health threats: a social media emotion classification technique
B Ofoghi, M Meghan, K Verspoor
(2016), pp. 504-515, PSB 2016 : Proceedings of Pacific Symposium on Biocomputing 2016, Kohala Coast, Hawaii, E1-1
Syndromic surveillance through measuring lexical shift in emergency department chief complaint texts
H Aamer, B Ofoghi, K Verspoor
(2016), pp. 45-53, ALTA 2016 : Proceedings of the 14th Annual Workshop of the Australasian Language Technology Association 2016, Caulfield, Vic., E1-1
B Ofoghi, K Verspoor
(2015), pp. 1-6, BigData 2015 : Proceedings of the Scientific Stream at Big Data in Health Analytics 2015, Sydney, N.S.W., E1-1
Mapping biomedical vocabularies: a semi-automated term matching approach
B Ofoghi, G Lopez-Campos, F Martin Sanchez, K Verspoor
(2014), pp. 16-19, ICIMTH 2014 : Proceedings of the International Conference on Informatics, Management, and Technology in Healthcare 2014, Athens, Greece, E1-1
B Ofoghi, J Zeleznikow, C MacMahon, D Dwyer
(2013), Vol. 233, pp. 200-213, Information Sciences, Philadelphia, PA, C1
B Ofoghi, J Zeleznikow, D Dwyer, C MacMahon
(2013), Vol. 31, pp. 954-962, Journal of sports sciences, Oxon, England, C1
The elimination race in track cycling : patterns and predictors of performance
D Dwyer, B Ofoghi, E Huntsman, D Rossitto, C McMahon, J Zeleznikow
(2013), Vol. 2, pp. 6-12, Journal of science and cycling, Granada, Spain, C1
Data mining in elite sports: a review and a framework
B Ofoghi, J Zeleznikow, C MacMahon, M Raab
(2013), Vol. 17, pp. 171-186, Measurement in physical education and exercise science, Abingdon, 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
B Ofoghi, J Zeleznikow, C MacMahon
(2011), Vol. 11, pp. 239-253, International journal of performance analysis in sport, Abingdon, Eng., C1-1
B Ofoghi, J Zeleznikow, C MacMahon
(2011), pp. 1-12, PACIS 2011 : Proceedings of the 15th Pacific Asia Conference on Information Systems, Brisbane, Qld., E1-1
A Machine Learning Approach to Predicting Winning Patterns in Track Cycling Omnium.
Bahador Ofoghi, Bahador Ofoghi, John Zeleznikow, John Zeleznikow, Claire MacMahon, Claire MacMahon, Dan Dwyer, Dan Dwyer
(2010), Vol. 331, pp. 67-76, IFIP IA 2010 : Proceedings of the 3rd IFIP International Conference on Artificial Intelligence in Theory and Practice 2010, Brisbane, Qld., E1-1
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
B Ofoghi, J Yearwood, M Liping
(2009), Vol. 60, pp. 247-263, Journal of the American Society for Information Science and Technology, 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
From lexical entailment to recognizing textual entailment using linguistic resources
B Ofoghi, J Yearwood
(2009), pp. 119-123, Australasian Language Technology Association Workshop, ALTA 2009 - Proceedings, 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
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
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
Funded Projects at Deakin
Australian Competitive Grants
An intelligent machine modelling assistant for combinatorial optimisation
Prof John Yearwood, Prof Vicky Mak, Dr Bahadorreza Ofoghi
ARC - Discovery Projects
- 2024: $51,342
- 2023: $99,833
- 2022: $143,266
Other Public Sector Funding
Simulation, Optimisation and Data Analytics solutions for Defence Submarine Workforce.
Prof Vicky Mak, Prof John Yearwood, Prof Terry Caelli, Mr Brendan Hill, Dr Bahadorreza Ofoghi
DSTO Grant - Research - Defence Science & Technology Organisation
- 2023: $583,925
- 2022: $420,474
- 2021: $419,250
- 2020: $100,000
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
Netball Australia Deakin Performance Insights Project.
Dr Lyndell Bruce, Dr Dan Dwyer, Dr Bahadorreza Ofoghi
Netball Australia Limited
- 2019: $30,000
Supervisions
Dinesh Nagumothu
Thesis entitled: Enhancing Document Relevance Classification, Question Generation, and Passage Re-ranking using Semantic Triples
Doctor of Philosophy (Information Technology), School of Information Technology