Projects

Tony Jan Research Project Information
Research projects Funding source Project Description Project outcomes
Automated video surveillance system for homeland security ARC Discovery Grant (AU$170,000) –  2004-2007 Suspicious human behavior detection in public premises – using machine learning solutions. Several good quality journals and conference articles. 
Unmanned luggage detection for homeland security Industry Contract (AU$450,000) – 2009-2012 Detecting suspicious objects in the airport as part of counter-terrorism projects Several good quality journals and conference articles. Commercialisation of the automated video surveillance projects with iOmniscient (which has grown to a multi-million dollar business)
Automated network intrusion detection (cybersecurity) software development Industry  Contract (AU$110,000) used for PhD Scholarship (2004-2008) Detection of malicious network intrusion detection using advanced machine learning algorithms. Several good quality journals and conference articles. The software solution was commercialised as ‘NetSafeGuard’ with some recognitions but limited commercialisation success.
Face recognition using machine learning solutions No industry Grant – APA PhD scholarship (2005-2010) Detecting and recognising pedestrians in public premises (e.g., airport). Several good quality journals and conference proceeding articles. No commercialisation attempt was made.
Inductive learning for financial prediction (stock market prediction) CRC Capital Market Research Grant (AU$20,000) and APA (APAI) Scholarship (2006-2011) Stock market prediction using advanced machine learning solutions Several good quality journals and conference proceeding articles. No immediate commericalisation opportunity was available.
Automated human beauty assessment Early Career Research Grant UTS (AU$55,000) – used to support PhD Scholarship (2006-2011) Machine learning approaches to assess human beauty as part of pre-planning of cosmetic surgery (medical). Several good quality journals and conference proceeding articles. No commercialisation opportunity was sought at the time.
Automated cybersecurity for IoT Pending Industry Contract  – (AU$100,000 under discussion with Industry Partner) Providing energy-efficient machine learning solutions to secure Internet of Things – in order to protect critical infrastructure Several good quality journal and conference proceeding articles. In the process of securing Industry Grants.
Learning Analytics MIT Small Internal Research Grant (AU$10,000) Machine learning solution to identify the students at risk from MOOC data Journal paper in preparation in collaboration with several external collaborators.
Automated detection of cyberbullying in social media NA Machine learning solution to identify cyberbullying Top tier conference publication and a journal paper in preparation by the PhD student at an external institute
Block chain technologies to secure Cyber Physical Devices (smart technologies) NA Blockchain technologies to secure Internet of Things edge devices Top tier conference publication and a journal paper in preparation by the PhD student at an external institute
IoT fog computing control for Augmented Reality NA Machine learning solution to manage QoS at the IoT edge and fog computing to support Augmented Reality  Top tier conference publication and a journal paper in preparation by the PhD student at an external institute
Health monitoring of corporate governance NA (grant of $250,000 awarded to the researcher who has invited me to participate) Machine learning solution to monitor health condition of corporate governance. A journal paper in preparation in collaboration with RMIT.
Smart sensors to detection pollutions or bush fires – using Satellite images Under a plan to apply for Aust-India collaboration grant in 2022 NA Collaboration with external and international institutes
Smart farm using IoT sensors Under a plan to apply for CRC subsidiary grants NA Collaboration with external institutes
Artificial intelligence in Design NA Identify how AI can assist design procedures. Seeking collaborations at TUA
Digital Twins NA Identify how Digital Twin can support simulation of the built environment or other design artifacts. Possible collaboration with TUA scholars and students
Artificial intelligence in Games Development NA Identify how AI can enhance the game scenario – a customised story line based on the user profile. Possible collaboration with TUA scholars and students