Profiles

Quan Bai

UTAS Home Associate Professor Quan Bai

Quan Bai

Associate Professor
Information & Communication Technology

Room 456 , Centenary Building

6226 1536 (phone)

Quan.Bai@utas.edu.au

Associate Professor Quan Bai is an associate professor in the Information & Communication Technology discipline, in the School of Technology, Environments and Design, University of Tasmania, Australia. His research mainly focuses on multi-agent coordination, trust mining and agent-based modelling for complex systems. He has over 100 research publications including several IEEE transaction papers and in number of top journal and conference papers. He has involved in the organisation of a number of international conferences, including AAMAS, PRIMA and Australasian AI.

Biography

Associate Professor Quan Bai received his PhD (2007) and MSc (2002) from the University of Wollongong, Australia, and graduated with double bachelor’s degree (2001) from Tianjin University, China. After he received his PhD, Quan worked as a Postdoctoral Research Follow for the University of Wollongong (2007-2009), and for the Commonwealth Scientific and Industrial Research Organisation (CSIRO) (2009-2011). In May 2011, Associate Professor Quan Bai joined the School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology as a lecturer, and then in 2012, promoted to a senior lecturer. Since March 2019, Associate Professor Quan Bai has been with the School of Technology, Environments and Design (TED), University of Tasmania, as an associate professor.

Teaching

Teaching expertise

  • Artificial intelligence
  • Software engineering
  • Programming

View more on Dr Quan Bai in WARP

Fields of Research

  • Intelligent robotics (460205)
  • Pattern recognition (460308)
  • Autonomous agents and multiagent systems (460202)
  • Neural networks (461104)
  • Distributed systems and algorithms (460605)
  • Applications in health (460102)
  • Image processing (460306)
  • Neurology and neuromuscular diseases (320905)
  • Maritime transportation and freight services (350904)
  • Ecological impacts of climate change and ecological adaptation (410102)
  • Geriatrics and gerontology (320210)
  • Mobile computing (460608)
  • Central nervous system (320903)
  • Primary health care (420319)
  • Networking and communications (460609)
  • Supply chains (350909)
  • Human-computer interaction (460806)
  • Artificial life and complex adaptive systems (460201)
  • Deep learning (461103)
  • Human impacts of climate change and human adaptation (410103)
  • Knowledge representation and reasoning (460206)
  • Sensor technology (incl. chemical aspects) (340108)
  • Satisfiability and optimisation (460210)
  • Preventative health care (420605)
  • Cognition (520401)
  • Planning and decision making (460209)
  • Software and application security (460406)
  • Farm management, rural management and agribusiness (300208)

Research Objectives

  • Application software packages (220401)
  • Information systems, technologies and services (220499)
  • Artificial intelligence (220403)
  • Diagnosis of human diseases and conditions (200101)
  • Defence (140199)
  • Health protection and disaster response (200406)
  • Clinical health (200199)
  • Emerging defence technologies (140104)
  • Ecosystem adaptation to climate change (190102)
  • Mobile technologies and communications (220103)
  • Environmental education and awareness (190203)
  • Intelligence, surveillance and space (140105)
  • Expanding knowledge in the environmental sciences (280111)
  • Management of greenhouse gas emissions from transport activities (190311)
  • Technological and organisational innovation (150306)
  • Weather (180104)
  • Injury prevention and control (200408)
  • Air quality (180101)
  • Human-computer interaction (220407)
  • Health inequalities (200204)
  • Climate change adaptation measures (excl. ecosystem) (190101)
  • Computer systems (220404)
  • Preventive medicine (200412)
  • International sea freight transport (excl. live animals, food products and liquefied gas) (270405)
  • Cybersecurity (220405)

Publications

Total publications

84

Journal Article

(27 outputs)
YearCitationAltmetrics
2021Wang X, Garg S, Tran SN, Bai Q, Alty J, 'Hand tremor detection in videos with cluttered background using neural network based approaches', Health Information Science and Systems, 9, (1) pp. 1-14. ISSN 2047-2501 (2021) [Refereed Article]

DOI: 10.1007/s13755-021-00159-3 [eCite] [Details]

Co-authors: Wang X; Garg S; Tran SN; Alty J

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2019Barati M, Bai Q, Liu Q, 'Automated class correction and enrichment in the Semantic Web', Journal of Web Semantics, 59 Article 100533. ISSN 1570-8268 (2019) [Refereed Article]

DOI: 10.1016/j.websem.2019.100533 [eCite] [Details]

Citations: Scopus - 3Web of Science - 3

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2019Khalid N, Bai Q, Al-Anbuky A, 'Adaptive trust-based routing protocol for large scale WSNs', IEEE Access, 7 pp. 143539 - 143549. ISSN 2169-3536 (2019) [Refereed Article]

DOI: 10.1109/ACCESS.2019.2944648 [eCite] [Details]

Citations: Scopus - 10Web of Science - 9

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2019Li W, Bai Q, Zhang M, 'SIMiner: a stigmergy-based model for mining influential nodes in dynamic social networks', IEEE Transactions on Big Data, 5, (2) pp. 223-237. ISSN 2332-7790 (2019) [Refereed Article]

DOI: 10.1109/TBDATA.2018.2824826 [eCite] [Details]

Citations: Web of Science - 1

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2019Li W, Bai Q, Zhang M, 'A multi-agent system for modelling preference-based complex influence diffusion in social networks', The Computer Journal, 62, (3) pp. 430-447. ISSN 0010-4620 (2019) [Refereed Article]

DOI: 10.1093/comjnl/bxy078 [eCite] [Details]

Citations: Scopus - 4Web of Science - 4

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2019Li W, Bai Q, Zhang MJ, Nguyen TD, 'Automated Influence Maintenance in Social Networks: An Agent-based Approach', IEEE Transactions on Knowledge and Data Engineering, 31 pp. 1884-1897. ISSN 1041-4347 (2019) [Refereed Article]

DOI: 10.1109/TKDE.2018.2867774 [eCite] [Details]

Citations: Scopus - 5Web of Science - 3

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2019Su X, Zhang M, Bai Q, 'An innovative approach for ad hoc network establishment in disaster environments by the deployment of wireless mobile agents', ACM Transactions on Autonomous and Adaptive Systems, 13, (4) Article 19. ISSN 1556-4665 (2019) [Refereed Article]

DOI: 10.1145/3337795 [eCite] [Details]

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2019Su X, Zhang M, Bai Q, 'Two mathematical programming-based approaches for wireless mobile robot deployment in disaster environments', The Computer Journal, 62, (6) pp. 905-918. ISSN 0010-4620 (2019) [Refereed Article]

DOI: 10.1093/comjnl/bxz010 [eCite] [Details]

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2019Yang Y, Bai Q, Liu Q, 'A probabilistic model for truth discovery with object correlations', Knowledge-Based Systems, 165 pp. 360-373. ISSN 0950-7051 (2019) [Refereed Article]

DOI: 10.1016/j.knosys.2018.12.004 [eCite] [Details]

Citations: Scopus - 12Web of Science - 8

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2018Nguyen TD, Bai Q, 'A Dynamic Bayesian Network approach for agent group trust evaluation', Computers in Human Behavior, 89 pp. 237-245. ISSN 0747-5632 (2018) [Refereed Article]

DOI: 10.1016/j.chb.2018.07.028 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

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2018Wu S, Bai Q, Sengvong S, 'GreenCommute: an influence-aware persuasive recommendation approach for public-friendly commute options', Journal of Systems Science and Systems Engineering, 27, (2) pp. 250-264. ISSN 1004-3756 (2018) [Refereed Article]

DOI: 10.1007/s11518-018-5368-6 [eCite] [Details]

Citations: Scopus - 8Web of Science - 6

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2017Bai Q, Kang BH, 'Preface', 9992 pp. V-VI. ISSN 0302-9743 (2017) [Edited Journal]

DOI: 10.1007/978-3-319-50127-7 [eCite] [Details]

Co-authors: Kang BH

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2017Barati M, Bai Q, Liu Q, 'Mining semantic association rules from RDF data', Knowledge-Based Systems, 133 pp. 183-196. ISSN 0950-7051 (2017) [Refereed Article]

DOI: 10.1016/j.knosys.2017.07.009 [eCite] [Details]

Citations: Scopus - 16Web of Science - 7

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2017Nguyen TD, Bai Q, 'Enhance trust management in composite services with indirect ratings', The Computer Journal, 60, (11) pp. 1619-1632. ISSN 0010-4620 (2017) [Refereed Article]

DOI: 10.1093/comjnl/bxx026 [eCite] [Details]

Citations: Web of Science - 2

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2016Moustafa A, Zhang M, Bai Q, 'Trustworthy stigmergic service composition and adaptation in decentralized environments', IEEE Transactions on Services Computing, 9, (2) pp. 317-329. ISSN 1939-1374 (2016) [Refereed Article]

DOI: 10.1109/TSC.2014.2298873 [eCite] [Details]

Citations: Scopus - 25Web of Science - 22

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2016Su X, Zhang M, Bai Q, 'Coordination for dynamic weighted task allocation in disaster environments with time, space and communication constraints', Journal of Parallel and Distributed Computing, 97 pp. 47-56. ISSN 0743-7315 (2016) [Refereed Article]

DOI: 10.1016/j.jpdc.2016.06.010 [eCite] [Details]

Citations: Scopus - 8Web of Science - 7

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2015Su X, Zhang M, Bai Q, 'Dynamic task allocation for heterogeneous agents in disaster environments under time, space and communication constraints', Computer Journal, 58, (8) pp. 1776-1791. ISSN 0010-4620 (2015) [Refereed Article]

DOI: 10.1093/comjnl/bxu157 [eCite] [Details]

Citations: Scopus - 5Web of Science - 2

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2015Xiang M, Liu W, Bai Q, Al-Anbuky A, 'Avoiding the opportunist: the role of Simmelian ties in fostering the trust in sensor-cloud networks', International Journal of Distributed Sensor Networks, 2015 Article 873941. ISSN 1550-1329 (2015) [Refereed Article]

DOI: 10.1155/2015/873941 [eCite] [Details]

Citations: Scopus - 1

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2014Jiang J, Bai Q, Zhang M, 'Community discovery for knowledge collaborations in collective intelligence systems', Journal of Information Processing, 22, (2) pp. 243-252. ISSN 1882-6652 (2014) [Refereed Article]

DOI: 10.2197/ipsjjip.22.243 [eCite] [Details]

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2014Xiang M, Bai Q, Liu W, 'Trust-based adaptive routing for smart grid systems', Journal of Information Processing, 22, (2) pp. 210-218. ISSN 0387-5806 (2014) [Refereed Article]

DOI: 10.2197/ipsjjip.22.210 [eCite] [Details]

Citations: Scopus - 10

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2013Liu Q, Bai Q, Kloppers C, Fitch P, Bai Q, et al., 'An ontology-based knowledge management framework for a distributed water information system', Journal of Hydroinformatics, 15, (4) pp. 1169-1188. ISSN 1464-7141 (2013) [Refereed Article]

DOI: 10.2166/hydro.2012.152 [eCite] [Details]

Citations: Scopus - 5Web of Science - 5

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2013Su X, Zhang M, Mu Y, Bai Q, 'A robust trust model for service-oriented systems', Journal of Computer and System Sciences, 79, (5) pp. 596-608. ISSN 0022-0000 (2013) [Refereed Article]

DOI: 10.1016/j.jcss.2012.11.005 [eCite] [Details]

Citations: Scopus - 22Web of Science - 16

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2011Su X, Zhang M, Mu Y, Bai Q, 'Trust-based service provider selection in service-oriented environments', International Journal of Computer Science and Network Security, 11, (10) pp. 1-9. ISSN 1738-7906 (2011) [Refereed Article]

[eCite] [Details]

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2010Bai Q, Ren F, Zhang M, Fulcher J, 'Using colored petri nets to predict future states in agent-based scheduling and planning systems', Multiagent and Grid Systems, 6, (5-6) pp. 527-542. ISSN 1574-1702 (2010) [Refereed Article]

DOI: 10.3233/MGS-2010-0164 [eCite] [Details]

Citations: Scopus - 4

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2010Ye D, Zhang M, Bai Q, Win KT, 'A novel task allocation protocol in agent organizations and its application to health care problems', International Journal of Computers and Their Applications, 17, (3) pp. 150-160. ISSN 1076-5204 (2010) [Refereed Article]

[eCite] [Details]

2009Bai Q, Zhang M, Sim KM, 'Flexible negotiation modeling by using colored Petri nets', Journal of Information Technology Research, 2, (3) pp. 1-16. ISSN 1938-7857 (2009) [Refereed Article]

DOI: 10.4018/jitr.2009070101 [eCite] [Details]

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2008Bai Q, Zhang M, 'A flexible and reasonable mechanism for self-interested agent team forming', Multiagent and Grid Systems, 4, (1) pp. 85-101. ISSN 1574-1702 (2008) [Refereed Article]

DOI: 10.3233/MGS-2008-4106 [eCite] [Details]

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Book

(6 outputs)
YearCitationAltmetrics
2017Bai Q, Ren F, Fujita K, Zhang M, Ito T, 'Multi-agent and Complex Systems', Springer, Switzerland, pp. 210. ISBN 978-981-10-2563-1 (2017) [Edited Book]

[eCite] [Details]

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2017Fujita K, Bai Q, Ito T, Zhang M, Ren F, et al., 'Modern Approaches to Agent-based Complex Automated Negotiation', Springer Nature Switzerland AG, Switzerland, pp. 255. ISBN 9783319515618 (2017) [Edited Book]

[eCite] [Details]

2015Bai Q, Ren F, Zhang M, Ito T, Tang X, 'Smart Modeling and Simulation for Complex Systems: Practice and Theory', Springer Japan, Japan, pp. 149. ISBN 978-4-431-55208-6 (2015) [Edited Book]

DOI: 10.1007/978-4-431-55209-3 [eCite] [Details]

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2014Marsa-Maestre I, Lopez-Carmona MA, Ito T, Zhang M, Bai Q, et al., 'Novel Insights in Agent-based Complex Automated Negotiation', Springer, Tokyo, pp. 204. ISBN 9784431547570 (2014) [Edited Book]

[eCite] [Details]

2012Liu Q, Bai Q, Giugni S, Williamson D, Taylor J, 'Data Provenance and Data Management in eScience', Springer, Tokyo, pp. 184. ISBN 9783642299315 (2012) [Edited Book]

[eCite] [Details]

2010Bai Q, Fukuta N, 'Advances in Practical Multi-Agent Systems', Springer-Verlag Berlin Heidelberg, Germany, pp. 448. ISBN 9783642160974 (2010) [Edited Book]

[eCite] [Details]

Chapter in Book

(5 outputs)
YearCitationAltmetrics
2017Liu J, Wei Z, Bai Q, 'Simulating and Modeling Dual Market Segmentation Using PSA Framework', Multi-agent and Complex Systems: Studies in Computational Intelligence, Springer, Q Bai, F Ren, K Fujita, M Zhang and T Ito (ed), Berlin, pp. 3-18. ISBN 978-981-10-2563-1 (2017) [Research Book Chapter]

DOI: 10.1007/978-981-10-2564-8_1 [eCite] [Details]

Citations: Web of Science - 2

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2016Jiang C, Li W, Bai Q, Zhang M, 'Preference Aware Influence Maximization', Multi-agent and Complex Systems: Studies in Computational Intelligence, Springer, Q Bai, F Ren, K Fujita, M Zhang and T Ito (ed), Berlin, pp. 153-164. ISBN 978-981-10-2563-1 (2016) [Research Book Chapter]

DOI: 10.1007/978-981-10-2564-8_11 [eCite] [Details]

Citations: Scopus - 3Web of Science - 2

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2011Liu Q, Bai Q, Ding L, Pho H, Chen Y, et al., 'Linking Australian Government Data for Sustainability Science - A Case Study', Linking Government Data, Springer, D Wood (ed), New York, USA, pp. 181-204. ISBN 978-1-4614-1766-8 (2011) [Research Book Chapter]

DOI: 10.1007/978-1-4614-1767-5_9 [eCite] [Details]

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2010Bai Q, Guru SM, Smith D, Liu Q, Terhorst A, 'A Multi-Agent View of the Sensor Web', Advances in Practical Multi-Agent Systems: Studies in Computational Intelligence, Springer, Q Bai and N Fukuta (ed), Berlin, pp. 435-444. ISBN 978-3-642-16097-4 (2010) [Research Book Chapter]

DOI: 10.1007/978-3-642-16098-1_28 [eCite] [Details]

Citations: Scopus - 3

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2010Zhang M, Ye D, Bai Q, Sutanto D, Muttaqi K, 'A Hybrid Multi-Agent Framework for Load Management in Power Grid Systems', Advances in Practical Multi-Agent Systems: Studies in Computational Intelligence, Springer, Q Bai and N Fukuta (ed), Berlin, pp. 129-143. ISBN 978-3-642-16097-4 (2010) [Research Book Chapter]

DOI: 10.1007/978-3-642-16098-1_9 [eCite] [Details]

Citations: Scopus - 6

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Conference Publication

(46 outputs)
YearCitationAltmetrics
2021Li X, Cao Z, Bai Q, 'A novel mountain driving unity simulated environment for autonomous vehicles', Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2-9 February 2021, Virtual Conference, Online (In Press) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Cao Z

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2021Wu S, Bai Q, Li W, 'Learning policies for effective incentive allocation in unknown social networks', AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 03-07 May, Virtual Event United Kingdom, pp. 1701-1703. ISBN 978-1-4503-8307-3 (2021) [Conference Extract]

[eCite] [Details]

Co-authors: Wu S

2020Cao Z, Wong K, Bai Q, Lin C-T, 'Hierarchical and non-hierarchical multi-agent interactions based on unity reinforcement learning', Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), 9-13 May2020, University of Auckland (virtual/online), pp. 2095-2097. (2020) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Cao Z; Wong K

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2020Zheng X, Cao Z, Bai Q, 'An evoked potential-guided deep learning brain representation for visual classification', Neural Information Processing: Proceedings of the 27th International Conference on Neural Information Processing. In: Communications in Computer and Information Science, vol 1333, 18-22 November 2020, Virtual Conference, Online (Bangkok, Thailand), pp. 54-61. ISBN 978-3-030-63822-1 (2020) [Refereed Conference Paper]

DOI: 10.1007/978-3-030-63823-8_7 [eCite] [Details]

Co-authors: Cao Z

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2019Hu Y, Bai Q, Li W, 'Context-aware influence diffusion in online social networks', PKAW 2019 Conference Proceedings, 26-27 August 2019, Cuvu, Fiji, pp. 153-162. ISSN 0302-9743 (2019) [Refereed Conference Paper]

DOI: 10.1007/978-3-030-30639-7_13 [eCite] [Details]

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2019Wang M, Li W, Kong Y, Bai Q, 'Empirical evaluation of deep learning-based travel time prediction', PKAW 2019 Conference Proceedings, 26-27 August 2019, Cuvu, Fiji, pp. 54-65. ISSN 0302-9743 (2019) [Refereed Conference Paper]

DOI: 10.1007/978-3-030-30639-7_6 [eCite] [Details]

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2019Wu S, Bai Q, 'Incentivizing long-term engagement under limited budget', PRICAI 2019: Trends in Artificial Intelligence, 26-30 August 2019, Cuvu, Fiji, pp. 662-674. ISSN 0302-9743 (2019) [Refereed Conference Paper]

DOI: 10.1007/978-3-030-29908-8_52 [eCite] [Details]

Citations: Scopus - 1

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2019Wu S, Bai Q, Kang B, 'Adaptive incentive allocation for influence-aware proactive recommendation', PRICAI 2019: Trends in Artificial Intelligence, 26-30 August 2019, Cuvu, Fiji, pp. 649-661. ISSN 0302-9743 (2019) [Refereed Conference Paper]

DOI: 10.1007/978-3-030-29908-8_51 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Kang B

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2019Yang Y, Bai Q, Liu Q, 'Dynamic source weight computation for truth inference over data streams', AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 13-17 May 2019, Montreal, Canada, pp. 277-285. ISBN 978-1-4503-6309-9 (2019) [Refereed Conference Paper]

DOI: 10.5555/3306127.3331704 [eCite] [Details]

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2019Yang Y, Bai Q, Liu Q, 'Modeling random guessing and task difficulty for truth inference in crowdsourcing', AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 13-17 May, 2019, Montreal, Canada, pp. 2288-2290. ISSN 2523-5699 (2019) [Conference Extract]

DOI: 10.5555/3306127.3332087 [eCite] [Details]

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2018Barati M, Bai Q, Liu Q, 'An entropy-based class assignment detection approach for RDF data', Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence. Part II. Lecture Notes in Computer Science, volume 11013, 28-31 August 2018, Nanjing, China, pp. 412-420. ISBN 9783319973098 (2018) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-97310-4_47 [eCite] [Details]

Citations: Scopus - 1Web of Science - 1

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2018Li W, Zhang M, Bai Q, Nguyen TD, 'Modelling multiple influences diffusion in on-line social networks', Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), 10-15 July 2018, Stockholm, Sweden, pp. 1053-1061. ISBN 9781510868083 (2018) [Refereed Conference Paper]

[eCite] [Details]

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2018Li W, Zhang M, Bai Q, Nguyen TD, 'Modelling multiple influences diffusion in on-line social networks', Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), 10-15 July 2018, Stockholm, Sweden, pp. 1053-1061. ISBN 9781510868083 (2018) [Refereed Conference Paper]

DOI: 10.5555/3237383.3237854 [eCite] [Details]

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2018Yang Y, Bai Q, Liu Q, 'On the discovery of continuous truth: a semi-supervised approach with partial ground truths', Proceedings of the 2018 International Conference on Web Information Systems Engineering. Lecture Notes in Computer Science, volume 11233, 12-15 November 2018, Dubai, UAE, pp. 424-438. ISBN 9783030029210 (2018) [Refereed Conference Paper]

DOI: 10.1007/978-3-030-02922-7_29 [eCite] [Details]

Citations: Scopus - 2

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2017Li W, Bai Q, Nguyen TD, Zhang M, 'Agent-based influence maintenance in social networks', 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), 8-12 May, Sao Paulo, pp. 1592-1594. (2017) [Conference Extract]

[eCite] [Details]

2016Bai Q, Li W, Jiang J, 'Mining context specific inter-personalised trust for recommendation generation in preference networks', 29th Australasian Joint Conference on Artificial Intelligence (AI 2016): Advances in Artificial Intelligence. Lecture Notes in Computer Science, volume 9992, 5-8 December 2016, Hobart, Tasmania, pp. 573-584. ISBN 9783319501260 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-50127-7_51 [eCite] [Details]

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2016Barati M, Bai Q, Liu Q, 'SWARM: An approach for mining semantic association rules from semantic web data', Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016). Lecture Notes in Computer Science, volume 9810, 22-26 August 2016, Phuket, Thailand, pp. 30-43. ISBN 9783319429106 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-42911-3_3 [eCite] [Details]

Citations: Scopus - 14Web of Science - 7

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2016Li W, Bai Q, Jiang C, Zhang M, 'Stigmergy-based influence maximization in social networks', Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016). Lecture Notes in Computer Science, volume 9810, 22-26 August 2016, Phuket, Thailand, pp. 750-762. ISBN 9783319429106 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-42911-3_63 [eCite] [Details]

Citations: Scopus - 8Web of Science - 6

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2016Li W, Bai Q, Zhang M, 'Comprehensive influence propagation modelling for hybrid social network', 29th Australasian Joint Conference on Artificial Intelligence (AI 2016): Advances in Artificial Intelligence. Lecture Notes in Computer Science, volume 9992, 5-8 December 2016, Hobart, Tasmania, pp. 597-608. ISBN 978-3-319-50126-0 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-50127-7_53 [eCite] [Details]

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2016Liu J, Tao Y, Bai Q, 'Towards exposing cyberstalkers in online social networks', Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016). Lecture Notes in Computer Science, volume 9810, 22-26 August 2016, Phuket, Thailand, pp. 763-770. ISBN 9783319429106 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-42911-3_64 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

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2016Liu Q, Bai Q, Yang Y, 'Semantic similarity of workflow traces with various granularities', Proceedings of the 17th Web Information Systems Engineering International Conference (WISE 2016), Lecture Notes in Computer Science, volume 10041, 8-10 November 2016, Shanghai, China, pp. 211-226. ISBN 9783319487397 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-48740-3_15 [eCite] [Details]

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2016Nguyen TD, Bai Q, 'Trust management for composite services in distributed multi-agent systems with indirect ratings', AAMAS '16: International Conference on Agents and Multiagent Systems, 9-13 May, Singapore, pp. 1295-1296. ISBN 978-1-4503-4239-1 (2016) [Conference Extract]

[eCite] [Details]

2016Nguyen TD, Bai Q, Li W, 'Capability-aware trust evaluation model in multi-agent systems', Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016). Lecture Notes in Computer Science, volume 9810, 22-26 August 2016, Phuket, Thailand, pp. 771-778. ISBN 9783319429106 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-42911-3_65 [eCite] [Details]

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2015Su X, Zhang M, Bai Q, 'A wireless mobile robots deployment approach for maximising the coverage of important locations in disaster rescues', Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 6-9 December 2015, Singapore, pp. 17-20. ISBN 978-1-4673-9618-9 (2015) [Refereed Conference Paper]

DOI: 10.1109/WI-IAT.2015.31 [eCite] [Details]

Citations: Scopus - 4Web of Science - 7

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2015Xiang M, Liu W, Bai Q, Al-Anbuky A, 'Simmelian ties and structural holes: Exploring their topological roles in forming trust for securing wireless sensor networks', Proceedings of the 2015 IEEE Trustcom/BigDataSE/ISPA Conference, 20-22 August 2015, Helsinki, Finland, pp. 96-103. ISBN 9781467379519 (2015) [Refereed Conference Paper]

DOI: 10.1109/Trustcom.2015.362 [eCite] [Details]

Citations: Scopus - 1Web of Science - 1

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2014Nguyen TD, Bai Q, 'Accountable individual trust from group reputations in multi-agent systems', Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014). Lecture Notes in Computer Science, volume 8862, 1-5 December 2014, Gold Coast, Queensland, pp. 1063-1075. ISBN 978-3-319-13559-5 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13560-1_92 [eCite] [Details]

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2014Su X, Zhang M, Bai Q, 'Task-based wireless mobile agents search and deployment for ad hoc network establishment in disaster environments', Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014). Lecture Notes in Computer Science, volume 8862, 1-5 December 2014, Gold Coast, Queensland, pp. 1023-1035. ISBN 978-3-319-13559-5 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13560-1_89 [eCite] [Details]

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2013Jiang J, Bai Q, 'Provenance-based trust estimation for service composition', Proceedings of the 26th Australasian Joint Conferenceon Artificial Intelligence (AI 2013): Lecture Notes in Computer Science, volume 8272, 1-6 December 2013, Dunedin, New Zealand, pp. 68-73. ISBN 978-3-319-03679-3 (2013) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-03680-9_7 [eCite] [Details]

Citations: Scopus - 1

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2013Jiang J, Bai Q, 'Correlated contribution analysis for service composition in dynamic environments', Proceedings of the 10th IEEE International Conference on Services Computing, 28 June - 3 July 2013, Santa Clara Marriott, CA, USA, pp. 113-119. ISBN 978-0-7695-5026-8 (2013) [Refereed Conference Paper]

DOI: 10.1109/SCC.2013.85 [eCite] [Details]

Citations: Scopus - 7

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2013Xiang M, Liu W, Bai Q, 'TIGER: A trust-based intelligent geographical energy-aware routing for smart grid communication networks', Proceedings of the 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 16-18 July 2013, Melbourne, Australia, pp. 65-72. ISBN 9780769550220 (2013) [Refereed Conference Paper]

DOI: 10.1109/TrustCom.2013.12 [eCite] [Details]

Citations: Scopus - 5Web of Science - 2

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2012Liu F, Narayanan A, Bai Q, 'Effective methods for generating collision free paths for multiple robots based on collision type (Demonstration)', AAMAS 12: International Conference on Autonomous Agents and Multiagent Systems, 4-8 June, Valencia, pp. 1459-1450. ISBN 978-0-9817381-3-0 (2012) [Conference Extract]

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2012Moustafa A, Zhang M, Bai Q, 'Stigmergic modeling for web service composition and adaptation', Proceedings of the 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2012): Lecture Notes in Computer Science, vol 7458, 3-7 September 2012, Kuching, Malaysia, pp. 324-334. ISBN 978-3-642-32694-3 (2012) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-32695-0_30 [eCite] [Details]

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2012Xiang M, Bai Q, Liu W, 'Self-adjustable trust-based energy efficient routing for smart grid systems', Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 4-7 December 2012, Macau, China, pp. 378-382. ISBN 9780769548807 (2012) [Refereed Conference Paper]

DOI: 10.1109/WI-IAT.2012.89 [eCite] [Details]

Citations: Scopus - 6Web of Science - 2

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2012Xiang M, Liu W, Bai Q, 'Trust-based geographical routing for smart grid communication networks', Proceedings of the 3rd International Conference on Smart Grid Communications (SmartGridComm 2012), 5-8 November 2012, Tainan, Taiwan, pp. 704-709. ISBN 9781467309110 (2012) [Refereed Conference Paper]

DOI: 10.1109/SmartGridComm.2012.6486069 [eCite] [Details]

Citations: Scopus - 9

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2011Bai Q, Su X, Liu Q, Terhorst A, Zhang M, et al., 'Case-based trust evaluation from provenance information', Proceedings of the 10th International Conference on Trust, Security and Privacy in Computing and Communications, 16-18 November 2011, Changsha, China, pp. 336-343. ISBN 9780769546001 (2011) [Refereed Conference Paper]

DOI: 10.1109/TrustCom.2011.44 [eCite] [Details]

Citations: Scopus - 5Web of Science - 2

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2011Su X, Zhang M, Mu Y, Bai Q, 'GTrust: An innovated trust model for group services selection in web-based service-oriented environments', Proceedings of the 12th International Conference on Web Information Systems Engineering (WISE 2011). Lecture Notes in Computer Science, volume 6997, 13-14 October 2011, Sydney, Australia, pp. 306-313. ISBN 978-3-642-24433-9 (2011) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-24434-6_26 [eCite] [Details]

Citations: Scopus - 4

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2011Ye D, Zhang M, Bai Q, 'A composite self-organisation mechanism in an agent network', Proceedings of the 12th International Conference on Web Information Systems Engineering (WISE 2011). Lecture Notes in Computer Science, volume 6997, 13-14 October 2011, Sydney, Australia, pp. 249-256. ISBN 978-3-642-24433-9 (2011) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-24434-6_19 [eCite] [Details]

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2010Ye D, Zhang M, Bai Q, Ito T, 'Self-organisation in an agent network via multiagent Q-learning', Proceedings of the 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010), 20 August - 3 September 2010, Daegue, Korea, pp. 14-26. ISBN 978-3-642-15036-4 (2010) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-15037-1_2 [eCite] [Details]

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2009Ye D, Bai Q, Zhang M, Win KT, Shen Z, 'An efficient task allocation protocol for P2P multi-agent systems', Proceedings of the 2009 IEEE International Symposium on Parallel and Distributed Processing with Applications, 10-12 August 2009, Chengdu, China, pp. 11-18. ISBN 978-0-7695-3747-4 (2009) [Refereed Conference Paper]

DOI: 10.1109/ISPA.2009.14 [eCite] [Details]

Citations: Scopus - 7Web of Science - 4

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2009Yuan S, Bai Q, Zhang M, Win KT, 'Discovery of core-nodes in event-based social networks', Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery, 14-16 August 2009, Tianjin, China, pp. 430-434. ISBN 9780769537351 (2009) [Refereed Conference Paper]

DOI: 10.1109/FSKD.2009.335 [eCite] [Details]

Citations: Scopus - 1

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2008Ye D, Bai Q, Zhang M, 'Ontology-based knowledge representation for a P2P multi-agent distributed intrusion detection system', Proceedings of the 2008 IFIP International Conference on Network and Parallel Computing, 18-21 October 2008, Shanghai, China, pp. 111-118. ISBN 9780769533544 (2008) [Refereed Conference Paper]

DOI: 10.1109/NPC.2008.8 [eCite] [Details]

Citations: Scopus - 4Web of Science - 1

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2008Ye D, Bai Q, Zhang M, Ye Z, 'P2P distributed intrusion detections by using mobile agents', Proceedings of the 7th International Conference on Computer and Information Science (ICIS 2008), 14-16 May 2008, Portland, Oregon, pp. 259-265. ISBN 9780769531311 (2008) [Refereed Conference Paper]

DOI: 10.1109/ICIS.2008.21 [eCite] [Details]

Citations: Scopus - 17Web of Science - 10

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2007Bai Q, Zhang M, Ren F, 'A coloured Petri Net based approach for flexible agent interactions', Proceedings of the 4th International Conference on Information Technology and Application, China, pp. 186-191. ISBN 0980326702 (2007) [Refereed Conference Paper]

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2007Ren F, Zhang M, Bai Q, 'A fuzzy-based approach for partner selection in multi-agent systems', Proceedings of the 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 11-13 July 2007, Melbourne, Australia, pp. 457-462. ISBN 9780769528410 (2007) [Refereed Conference Paper]

DOI: 10.1109/ICIS.2007.21 [eCite] [Details]

Citations: Scopus - 7Web of Science - 5

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2005Bai Q, Zhang M, 'Dynamic team forming in self-interested multi-agent systems', Lecture Notes in Artificial Intelligence, volume 3808, Proceedings of the 8th Australian Joint Conference on Artificial Intelligence (AI2005), 5-9 December 2005, Sydney, Australia, pp. 674-683. ISBN 978-3-540-30462-3 (2005) [Refereed Conference Paper]

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2004Bai Q, Zhang M, Win KT, 'A Colored Petri Net based approach for multi-agent interactions', Proceedings of the 2nd International Conference on Autonomous Robots and Agents, 13-15 December 2004, Palmerston North, New Zealand, pp. 152-158. (2004) [Refereed Conference Paper]

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Grants & Funding

Funding Summary

Number of grants

4

Total funding

$1,062,572

Projects

Virtual Database for Antarctic Data Management (2021)$10,000
Description
The Australian Antarctic Data Centre (AADC) is managing huge amount of data collected from the Southern Ocean. The data are collected by different agencies and in various format. To achieve better data management, discovery useful knowledge and provide accurate decision support, AADC seeks to dramatically increase the machine readability of its data collections to facilitate data interoperability and integration, and to improve their usability for machine learning applications. This will require annotating data collections with machine-readable metadata describing data structures and meaning, and develop an effective automated meta data management mechanism, i.e., to develop a Virtual Database (VDB). In this project, the student will study on related knowledge on knowledge representation, meta-data management, and VDB. The student will then be focus on the design a VDB, which can achieve automated meta-data management for AADC.
Funding
Australian Antarctic Division ($10,000)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Bai Q; Amin M
Year
2021
The future in our hands: Screening for preclinical Alzheimer's disease by analysing hand movements (2021 - 2025)$899,782
Description
Global dementia prevalence is rising. Alzheimers disease (AD), the most common cause, has devastating effects on peoples quality of life. AD has a preclinical (pre-AD) period of 1020 years when brain pathology silently progresses before any cognitive symptoms appear. Current tests for pre-AD are invasive, costly and unsuitable for screening at population level. If we cant identify people with pre-AD, we cant offer them early interventions. This hinders our strategies to reduce AD prevalence. We will develop a new scalable test (HandTest) by combining two innovative ideas: hand-movement tests to detect pre-AD >10 years before cognitive symptoms begin; and computer vision so people can self-test online at home. This unique approach builds on the recent discoveries that the posterior cingulate cortex (the first brain region to show abnormalities in pre-AD) is involved in hand-movement control, and that hand-movement patterns change in pre-AD. We will use exquisitely precise computer vision methods to automatically analyse movement data from thousands of participants, who complete the online test by simply opening and closing their hands repeatedly for 5 minutes in front of a standard computer, tablet or smartphone camera. The CI/AI team of experts in hand-movement analysis, pre-AD, computer vision, AD biomarkers and biostatistics has access to 3 well-phenotyped cohorts, >10,000 existing participants and a cutting-edge assay for a blood AD biomarker, ptau181. We will develop a HandTest algorithm to classify hand-movement data for pre-AD risk. In a longitudinal cohort we will determine HandTests precision to prospectively predict 5-year risks of cognitive decline and AD. This is the critical first step for up-scaling HandTest nationwide via memory clinics of the Australian Dementia Network. With worldwide access to computers, tablets and smartphones increasing, HandTest is scalable globally, potentially transforming dementia prevention and management.
Funding
National Health & Medical Research Council ($899,782)
Scheme
Grant-Ideas
Administered By
University of Tasmania
Research Team
Alty JE; Vickers JC; Bai Q; Bindoff AD; Hill E
Period
2021 - 2025
Grant Reference
2004051
Data fusion and machine learning for ship fuel efficiency analysis: a small but essential step towards green shipping through data analytics (2021 - 2022)$77,790
Description
This project is toDevelop a data fusion methodology that pre-processes voyage report data, sensor data, weather archive data, and AIS data and combines these four data sets in a systematic way;Develop some ship fuel efficiency models with machine learning approaches (piecewise linear/nonlinear regression, neural network, and random forest) that quantify the synergetic influence of sailing speed, displacement/draft, trim, sea conditions, and weather conditions on a ships daily bunker fuel consumption;Construct a computer (Python) code infrastructure for the above data fusion methodology and ship fuel efficiency models.
Funding
International Association of Maritime Universities ($77,790)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Du Y; Chen S; Nikolova ND; Bhaskar PR; Fei J; Bai Q
Period
2021 - 2022
Investigation into Dynamic Reallocation of Computing Resources (2020)$75,000
Description
The proposal for Whitepaper development project for Lockheed Martin Australia Attack Class Submarine Program EOI,FSP-CS-RT-80 Smart driven dynamic reallocation of computing resources based on compute demands
Funding
Lockheed Martin Australia Pty Ltd ($75,000)
Scheme
Future Submarine Program
Administered By
University of Tasmania
Research Team
Garg SK; Kang BH; Amin M; Bai Q
Year
2020

Research Supervision

Current

8

Current

DegreeTitleCommenced
PhDComprehensive Context Analysis in Dynamic Systems2019
MastersRobust and Effective Consensus Approaches for Blockchain Systems2019
PhDAgent based proactive recommendation by considering multiple factor2019
PhDIdentifying Pre-cognitive Biomarkers of the Earliest Stages of Dementia using Artificial Intelligence Analyses of Eye, Face and Limb Movements2019
MastersImage Caption and Cognition2020
PhDComprehensive Knowledge Mining from Knowledge Graphs2020
PhDMachine Learning Supports Multi-Agent Interactions2021
PhDApplying Artificial Intelligence to Identify New Tremor Biomarkers of Dementia Risk2021