Ir. A/Prof. Dr. Hudyjaya Siswoyo Jo

Director, Centre for Digital Futures
Swinburne University of Technology Sarawak
Dr. Hudyjaya Siswoyo Jo is an Associate Professor in the Faculty of Engineering, Computing and Science at Swinburne University of Technology Sarawak Campus, where he also serves as the Director of the Centre for Digital Futures. He is actively engaged in research across the fields of robotics and mechatronics, industrial automation, digital transformation, smart city infrastructure, and mechanisation. Dr. Siswoyo Jo has successfully led numerous digital transformation projects for companies and factories across Malaysia, contributing to the advancement of smart manufacturing and Industry 4.0 practices. His research also extends to smart city applications, particularly in the development of intelligent sensing, monitoring, tracking, and automation technologies for connected urban infrastructure. In addition to his academic role, he is a seasoned trainer for professional development programs, specialising in the areas of Internet of Things (IoT), mechatronics, and industrial automation. His research interests include mechatronic system design, modelling and control, industrial automation, Internet of Things, human-machine interaction, smart city infrastructure, and agricultural mechanisation.

Programmes

Smart Waste and Water Infrastructure for Growing Cities
FUTURE CITIES
Confronting the essential foundations of urban liveability, this panel examines how IoT telemetry, automated monitoring, and circular economy principles are revitalizing municipal water and waste management systems. Expert speakers detail actionable case studies where smart sensor deployment reduced non-revenue water losses, optimized waste collection routes, and preserved natural water catchment areas. The session reinforces that true urban smartness relies on resilient, technology-enabled primary utilities that support population growth and high industrial output.

Day 1

Parallel Academic Tracks – Smart City
COE
Abstract Title: Automated UAV-based Parking Enforcement and Monitoring System

DAY 2

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