Scott Adams

Dr. Scott Adams serves as a Senior Lecturer at Deakin University within the Faculty of Science Engineering and Built Environment, School of Engineering, and is affiliated with the Centre for Sustainable Bio-Products. His research spans multiple engineering disciplines with a strong emphasis on sustainable technologies, artificial intelligence applications, and biomedical device development.

Dr. Adams earned his Doctor of Philosophy and dual Bachelor degrees (Engineering with Honours and Information Technology with Distinction) from Deakin University. His academic journey progressed from Postdoctoral Research Fellow (2019-2022) to his current Senior Lecturer position.

His research interests focus on data management and data science, electronics and sensor technology, control engineering, mechatronics, robotics, and biomedical engineering. His work demonstrates particular expertise in sustainable waste management systems, AI-driven monitoring solutions, and neural interface technologies. Dr. Adams has developed innovative approaches to tyre recycling, solar panel inspection, greenhouse monitoring, and neural microprobes with adaptive stiffness.

An analysis of his recent publications reveals a strong trend toward sustainable engineering solutions with applications in waste recycling (particularly end-of-life tyres and solar panels), AI-enhanced monitoring systems for environmental and agricultural applications, and advanced biomedical devices featuring novel materials and control systems. His interdisciplinary approach bridges mechanical engineering, computer science, and environmental science.

Dr. Adams actively supervises numerous doctoral students across diverse engineering projects and has secured substantial research funding through multiple industry collaborations. His grants portfolio includes significant projects such as the Commercialisation of an Automated Mobile EOL Solar PV Panel Recovery Plant ($345,925), End of Life Tyres to Green Hydrogen ($23,745,206), and various contracts with rail companies, energy firms, and agricultural technology developers.

His teaching responsibilities include units such as SEE216 - Analogue and Digital Electronics, SEJ102 - Electrical Systems Engineering Project, and SEE711 - Sensor Networks. Dr. Adams has developed several innovative devices including the SmartStim AI-enabled deep brain stimulation device, AgriGlow IoT multi-spectral light sensing system, and automated soil gas monitoring technology, demonstrating his commitment to translating research into practical applications.