Skip to content

AI in Business

Artificial intelligence (AI) has become a significant topic in various disciplines, particularly in business. Applications of AI, such as supply chain and logistics, finance, insurance, management, marketing, and HR, are increasingly being used in businesses. 

This has led to the integration of AI in various business applications extending beyond technical domains, providing a significant opportunity for the School of Business at the University of Southern Queensland (UniSQ), to establish a research group focused on AI in business. 

The Special Interest Group of AI for Business at UniSQ has been created with the aim of promoting the integration and advancement of AI in business practices at the university. The group is expected to provide students, faculty, and industry professionals with opportunities to learn, collaborate, and innovate in the field of AI for business.

The objective of the SIGAIB research group is to bring together committed individuals with similar interests in various branches of AI to identify synergies and then develop a set of measurable activities for the period 2023-2025. To achieve a synergised research concentration, the Special Interest Group in Artificial Intelligence for Business (SIGAIB) brings together research active academics and PhD students from the School of Business at UniSQ and the SRM Institute of Science and Technology (SRMIST) in India to explore research opportunities for potential AI applications in business. The SIGAIB is expected to focus on research covering key areas such as machine learning, deep learning, natural language processing, and general artificial intelligence, involving a large network of leading scientists at both universities and many collaborators in Australia, India, and worldwide.

Mission

To advance the integration and implementation of AI in various business applications through interdisciplinary research, collaboration, and education.

Goals

  • To conduct cutting-edge research in the field of AI for business evidenced by premier publications.
  • To develop new AI-based tools and techniques to improve efficiency and performance in various industries with a view to commercialisation.
  • To establish partnerships with industry leaders in AI for business to provide networking and internship opportunities for members to maintain currency; and
  • To provide educational resources and workshops on AI for business to students and faculty to translate research knowledge into pedagogical practices.

  • Regular online/virtual seminars for group members and HDR students to showcase their research.
  • Conducting interdisciplinary research on AI for business applications and publishing high quality collaborative research papers in academic journals, national and international conferences to contribute to ERA ranking.
  • Developing new AI-based tools and techniques for businesses to improve efficiency and performance.
  • Collaborating with industry partners to understand their needs and develop solutions to address them.
  • Providing training and educational resources for students, faculty, and industry professionals to learn about the latest developments in AI for business.
  • Organizing guest lectures, workshops, conferences, and other events to promote the discussion and advancement of AI in business.
  • Apply research grants and seek funding from government, industries, and other organisations.
  • Identifying of suitable PhD topics, promoting these to potential high-quality students to grow research capacity, and Identifying candidates for cotutelle PhD program and providing internship opportunities for students.
  • Establishing international collaborations with other universities and research institutions.

Leaders

  • Chair: A/Prof. Susan Xujuan Zhou
  • Deputy Chair: Prof. Revathi Venkataraman

Steering committee

  • Chair: Prof. Raj Gururajan - Associate head (Research) at School of Business, UniSQ

Members

  • Prof. Revathi Venkataraman - SRM Institute of Science and Technology, India
  • Prof. Yuefeng Li - Queensland University of Technology, Australia
  • Dr. Prabal Datta Barua – Chief Executive Officer of Cogninet Australia Pty Ltd, Sydney, Australia
  • Mr. Floyd Leedie – Chief Executive Officer of Goondir Health Services, Queensland, Australia
  • Mr. Paul Penumala - Operations Manager of North Coast Aboriginal Corporation for Community   Heath (NCACCH), Sunshine Coast, Queensland, Australia
  • Prof. Catherine Prentice - Professor of Marketing, School of Business, UniSQ, Queensland, Australia

UniSQ core members

  • Prof. Jianming Young
  • Prof. Jeffrey Soar
  • Dr. KC Chan
  • Dr. Michael Lane
  • Dr. Mahdi Fahmideh
  • Prof. Catherine Prentice
  • A/Prof. Park Thaichon
  • Prof. Ambika Zutshi
  • Prof. Khorshed Alam
  • Dr. Brad Taylor
  • Dr. Anne-Maire Sassenberg
  • A/Prof. Syed Shams
  • Prof. Retha Wiesner
  • Adjunct Prof. Niall Higgins
  • Research Assistant Mr. F. M. JAVED MEHEDI SHAMRAT
  • SRMIST Core members: 
  • Prof. V. Kavitha,
  • A/Prof. P.C. Karthik
  • Dr. Vaishnavi Moorthy
  • Dr.M.K.Vidhyalakshmi
  • Dr.G.Vadivu
  • Dr. Akshya J
  • Prof. Maragatham G
  • Dr. A.L.Amutha
  • Dr. Sudha Rajesh

 Student members

  • Ms. Abinaya G.
  • Mr. Eyad Abdel Latif A. Q. Marazqah Btoush
  • Mr. Omar Alsodi
  • Mr. Yuan Yao
  • Mr. Leon Wreyford