Associate ProfessorDaniel Lai

Associate Professor

Faculty of Science Engineering and Built Environment/School of Information Technology

  • Associate Professor
    Faculty of Science Engineering and Built Environment/School of Information Technology
  • +61 3 924 68473 (Work)
  • Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125

BIO

Daniel Lai is an Electonics and Computer Systems Engineer (BEng Monash) with a PhD in machine learning (Monash, 2006). He is currently Associate Course Suite Director of the Bachelor of Software Engineering, having recently joined the School of Information Technology, Deakin. His current research interests include predictive and generative AI models for robotic systems, materials for sensors and quantum cybersecurity. He has over 16 years of research-industry collaborations specialising in design and testing of wearable electronics, optoelectronic systems, wireless sensor networks and embedded systems across a range of industries i.e. health, sport, energy, supply chain and defence. He has over 150 peer reviewed articles, including 3 books in the areas of wireless sensor networks. Daniel has previously held administrative roles, including head of electrical and electronics engineering (Victoria U), Tech Ambassador to the Australian Nanofabrication Facility (ANFF), and Defence Liasion Manager to the Defence Science Institute (DSI). He is a member of Engineers Australia, IEEE, and ACS, and active reviewer of high impact journals such as IEEE Transactions, Applied Materials, and Nature Communications. 

DEAKIN UNIVERSITY CURRENT APPOINTMENT

  • Associate Professor
    Deakin University, School of Information Technology

DEGREES

  • Doctor of Philosophy
    Monash University
  • Bachelor of Engineering (Honours)
    Monash University

LANGUAGES

  • English
    Can read, write, speak, understand and peer review
  • Chinese (Mandarin)
    Can read, write, speak and understand
  • Malay
    Can read, write, speak, understand and peer review

FIELDS OF RESEARCH

  • Artificial intelligence
  • Electronics, sensors and digital hardware
  • Electrical energy generation (incl. renewables, excl. photovoltaics)
  • Control engineering, mechatronics and robotics
  • Nanomaterials

AVAILABILITY FOR SUPERVISION

  • Masters by Research and PhD supervision

AREA/FACULTY

  • Faculty of Science Engineering and Built Environment

DEPARTMENT/SCHOOL/INSTITUTE/DISCIPLINE

  • School of Information Technology