Zhenglin Wang received his Bachelor of Electrical and Electronics Engineering from Zhejiang University, China in 2000, Master of Computer Science by Research and PhD both from the University of South Australia in 2012 and 2016 respectively. He also worked as a software engineer at TCL and UTStarcom from 2000 to 2009. In 2020, he was awarded "Advanced Queensland Industry Research Fellowship". Currently, he is a postdoctoral research fellow with the School of Health, Medical and Applied Sciences at Central Queensland University. His research interests include computer vision, machine learning, deep learning, and precision agriculture.
2016 Ph.D. ITMS, University of South Australia, Adelaide
2012 M.Sci. ITMS, University of South Australia, Adelaide
2000 B.E. Zhejiang University, China
2016.6 - present: CQuniversity
2016.4 - 2016.6: University of South Australia
2020-2023: Advanced Queensland Industry Research Fellowship
2016-2020: CQUniversity Early Career Fellowship
2015 December: International Student Entrepreneurship Capital Prize at UniSA ($10,000)
2015 August: National Merit Recipient in Australian iAwards ICT Innovation competition (Postgraduate Student Category)
2012-2015: University of South Australia Postgraduate Award (USAPA)
2011-2012: Australian Postgraduate Award (APA)
World-first mango harvesting robot to take the grunt work out of fruit picking (ABC news 2019)
Mango-picking robot could help worker shortage (ABC TV news 2019)
Automatic mango harvester trialled in Central Queensland (Channel 7, 2019)
WORLD-FIRST MANGO AUTO-HARVESTER FROM CQUNI (2019) – CQU Newsletter
CQU Data Tool Eases "Mango Madness" (2018)
Fruit maturity: developing an application to assist with the decision to pick (2017)
Innovative talent honoured at iAwards (UniSA newsletter, 2015)
Languages & tools: C/C++, Python, Matlab, R, Java, IA-32 assembly, Linux, shell script; Eclipse + CDT, Visual Studio, Android studio, GNU tools, MingW and cygwin;
Network development: Ethernet and TCP/IP stacks, Wifi, bluetooth and Zig-Bee.
Embedded OS: embedded linux, minix, VxWorks, Windows Mobile/CE and Android OS internals/applications;
Embedded platform: STM32, Broadcom, Equator BSP, TI, Raspberry Pi and Arduino.
Firmware development: boot loader(U-Boot), smart card (conditional access) driver, RF TV tuner driver, I2C, SCCB camera interface and USB.
Software&applications: OpenCV, CUDA, Caffe+Faster RCNN, YOLO+darknet, MPEG/H.264 video/audio codec algorithms, QT, DVB SI, closed caption, Voice over IP (VoIP), and set-top box.
Debugging & Test: gdb, JTAG, protocol analyzers, code review, black/whitebox testing.
SCM tools: SVN, git, ClearCase and ClearQuest.
Other skills: GIS (Leica & Trimble GPS devices), AutoCAD, laser cutting, 3D printing, mentoring, technical presentations, team working, patent process.
I am currently accredited for supervision in the following:
At the level of Principal Supervisor
Horticultural Production - Horticultural Production not elsewhere classified
Artificial Intelligence and Image Processing - Computer Vision
Artificial Intelligence and Image Processing - Image Processing
Artificial Intelligence and Image Processing - Pattern Recognition and Data Mining