Profile image of Bahadorreza Ofoghi

Dr Bahadorreza Ofoghi



Senior Lecturer, Information Technology


Faculty of Sci Eng & Built Env


School of Info Technology


Melbourne Burwood Campus


Doctor of Philosophy, University of Ballarat, 2009
Master of Computer Engineering, Islamic Azad University, 2002
Bachelor of Science, Islamic Azad University, 1999

+61 3 924 46198


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 profile

Research 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


Filter by


Aspect-Based Fake News Detection

Ziwei Hou, Bahadorreza Ofoghi, Nayyar Zaidi, John Yearwood

(2024), The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Taiwan, E1


Textual emotion detection in health: Advances and applications

A Saffar, T Mann, B Ofoghi

(2023), Vol. 137, Journal of Biomedical Informatics, United States, C1

journal article

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

journal article

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


Synthetic Dialogue Dataset Generation using LLM Agents

Yelaman Abdullin, Diego Molla-Aliod, Bahadorreza Ofoghi, John Yearwood, Qingyang Li

(2023), The Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM), Singapore, E1-1


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

journal article

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

journal article

Data Envelopment Analysis of linguistic features and passage relevance for open-domain Question Answering

B Ofoghi, M Mahdiloo, J Yearwood

(2022), Vol. 244, pp. 1-13, Knowledge-Based Systems, Amsterdam, The Netherlands, C1

journal article

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

journal article

Linked data triples enhance document relevance classification

D Nagumothu, P Eklund, B Ofoghi, M Bouadjenek

(2021), Vol. 11, Applied Sciences (Switzerland), C1

journal article

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

journal article

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

journal article

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

journal article

Why do some civil cases end up in a full hearing? Formulating litigation and process referral indicia through text analysis

N Burstyner,, T Sourdin,, C Liyanage,, B Ofoghi

(2016), Vol. 25, pp. 257-296, Journal of judicial administration, New York, N.Y., C1-1

journal article

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


Assessing the performance of American chief complaint classifiers on Victorian syndromic surveillance data

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


Supporting athlete selection and strategic planning in track cycling omnium: A statistical and machine learning approach

B Ofoghi, J Zeleznikow, C MacMahon, D Dwyer

(2013), Vol. 233, pp. 200-213, Information Sciences, Philadelphia, PA, C1

journal article

Modelling and analysing track cycling Omnium performances using statistical and machine learning techniques

B Ofoghi, J Zeleznikow, D Dwyer, C MacMahon

(2013), Vol. 31, pp. 954-962, Journal of sports sciences, Oxon, England, C1

journal article

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

journal article

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

journal article

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

journal article

Probabilistic modelling to give advice about rowing split measures to support strategy and pacing in race planning

B Ofoghi, J Zeleznikow, C MacMahon

(2011), Vol. 11, pp. 239-253, International journal of performance analysis in sport, Abingdon, Eng., C1-1

journal article

A hybrid probabilistic and combinatorial optimization approach to analyzing rowing performance measures

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


The impact of frame semantic annotation levels, frame-alignment techniques, and fusion methods on factoid answer processing

B Ofoghi, J Yearwood, M Liping

(2009), Vol. 60, pp. 247-263, Journal of the American Society for Information Science and Technology, C1-1

journal article

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


The impact of semantic class identification and semantic role labeling on natural language answer extraction

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


FrameNet-based fact-seeking answer processing: a study of semantic alignment techniques and lexical coverage

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


A within-frame ontological extension on FrameNet: application in predicate chain analysis and question answering

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, Dr Lele Zhang, Diego Molla-Aliod

ARC - Discovery Projects

  • 2024: $44,932
  • 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


Principal Supervisor

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