About

Art is an Information Technology lecturer with particular interests in in document analysis and recognition which is the subfield of Pattern Recognition and Artificial Intelligence.

She has been employing Artificial Neural Networks, Support Vector Machines, and Hidden Markov Models in her research. She is currently exploring biometric (based on signatures and name components). She is also interested in Network Security and deep learning.

Teaching
  • CP1402: Internet Fundamentals (Level 1; CNS & TSV)
  • CP1406: Web Design and Development (Level 1; CNS & TSV)
  • CP1802: Internet Fundamentals (Level 1; CNS & TSV)
  • CP1806: Web Design and Development (Level 1; CNS & TSV)
  • CP2409: Network Forensics and Data Communications (Level 2; TSV)
  • CP2414: Network Security (Level 2; CNS)
  • CP3404: Information Security (Level 3; CNS & TSV)
  • CP5631: Internet Fundamentals (Level 5; TSV)
  • CP5638: Web Design and Development (Level 5; TSV)
Interests
Research
  • Document Analysis
  • Image Processing
  • Artificial Neural Networks
  • Support Vector Machines
  • Biometric
Research Disciplines
Socio-Economic Objectives
Publications

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU.

Journal Articles
Conference Papers
Current Funding

Current and recent Research Funding to JCU is shown by funding source and project.

World Wide Fund for Nature - Contract Research

From Coastal Communities to Cloud Communities ? New Application and Artificial Intelligence to Monitor Fish Stocks Using Photos ? Application Development

Indicative Funding
$53,100 over 2 years
Summary
The Project aims at develop an artificial intelligence capable to autonomously identify fish species and number from images collected at fish markets in remote location, so that effective catch rate can be evaluated and management policies can be developed.
Investigators
Marcus Sheaves, Carlo Mattone, Michael Bradley, Joanne Lee, Jason Holdsworth, Art (Hemmaphan) Suwanwiwat and Ickjai Lee (College of Science & Engineering)
Keywords
Artificial Intelligence; Phone App; Caught Fish; Catch Rate
Supervision

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current
  • Investigating Security Vulnerabilities in Healthcare IoT (PhD , Secondary Advisor)
  • A Data-Driven Approach towards a Realistic and Generic Crowd Simulation Framework (PhD , Secondary Advisor)
Collaboration

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.

  • 5+ collaborations
  • 4 collaborations
  • 3 collaborations
  • 2 collaborations
  • 1 collaboration
  • Indicates the Tropics (Torrid Zone)

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jcu.me/art.suwanwiwat

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