Connected Sensing 2027 Conference

Associate Professor Kimberley (Kim) van Schooten is a Senior Research Fellow at Neuroscience Research Australia (NeuRA) and Conjoint Associate Professor in the School of Population Health at UNSW Medicine & Health. She trained in Human Movement Sciences at VU University Amsterdam, completing her PhD in 2015, and has held research positions in the Netherlands, Canada, and Australia before joining NeuRA in 2017.

Kim leads a research program transforming how mobility and fall risk are measured and managed in older people. Her work integrates wearable sensors, neuroscience, and biomechanics to capture real-world mobility, establishing that daily-life gait provides sensitive markers of fall and injury risk beyond traditional assessments. She investigates the mechanisms underlying mobility decline by linking brain integrity, cognition, affect, muscle strength, pain, and sleep to dynamic changes in mobility. She translates these insights into digital biomarkers, enhanced clinical tools, and scalable interventions embedded into aged care systems through digital health and implementation research.

Hoang-Phuong Phan is an Associate Professor and ARC Future Fellow at the School of Mechanical and Manufacturing Engineering, UNSW Sydney. His research spans a broad range of semiconductor devices and applications, including MEMS/NEMS, integrated sensors, flexible electronics, and three-dimensional micro-architectures. Recent scientific breakthroughs and innovations from the Phan Lab include advanced nanomembranes for long-term implanted bio-barriers and bio-interfaces (SiC), wireless battery-free sensors (wearable and implantable using NFC and BLE), nanothin Si cantilevers for broad-frequency acoustic sensing, low-impedance flexible nanoporous electrodes for neurological recording and stimulation, and 3D electronics and sensors for organoids. Prof. Phan was a visiting scholar at the National Institute of Advanced Industrial Science and Technology (AIST), Japan in 2016, Stanford University, CA, USA in 2017, and Northwestern University, IL, USA in 2019. Prof. Phan has published over 140  journal articles (e.g. Nature Communications, Science Advances, PNAS, Science Robotics, ACS Nano, Adv. Funct. Mater., Angew Chemie., Nano Energy), two US patents, and four book/book-chapters, all in micro and nanotechnologies. He received full scholarships for all if his higher education, including the Japanese Government scholarships (MEXT) for talented undergraduate & postgraduate students (2006 - 2013) at The University of Tokyo, Japan, and GUPRS & GUIPRS scholarships from Griffith for the doctoral course (2013-2016). Prof. Phan was honored with the GU publication award, the Springer outstanding theses award, the Australian Nanotechnology Network Fellowship, GU Postdoctoral Fellowship, the DECRA award, the Pro Vice-Chancellor ECR award (2019), the Griffith Vice-Chancellor Excellence in Research Award for ECR (2020), the GROW award from UNSW, and the Future Fellow from the Australian Research Council in 2024. He serves in the Executive Technical Program Committee of the IEEE International Conferences on MicroElectroMechanical Systems (IEEE MEMS).

Professor Paul Egglestone is Founder and Director of FASTLab (Future Arts, Science and Technology laboratory). His work bringing together makers, communities and technology spans almost two decades and is recognised nationally and internationally. He set up FASTLab in 2018 as a translational research hub to deliver transformational research with global impact connecting businesses, NGO’s and government to demonstrate how we can create value through creativity and innovation balancing sustainable economic growth with social and environmental developments. Within the lab, his research focuses on human centred interactions. It harnesses human imagination, empathy, cooperation, co-design, design thinking, visualization, playfulness and creativity to enable a better understanding of the underlying systems of creativity, and motivations of humans. This iterative approach is designed to take speculative ideas into a Beta to Alpha development process and onto commercialisation opportunities. Professor Egglestone is a founding member of the Global Alliance for Media Innovation and formerly founder of the Media Innovation Studio at the University of Central Lancashire working extensively with large media organisations like the BBC, Haymarket. The Guardian, The Independent, ITV and Google.

Dr. Qinghua Lu is the Group Leader of Software Systems Research Group at CSIRO and a Senior Principal Research Scientist specialising in AI engineering, AI safety and responsible AI.

She is the only member from Australia among the 40 experts appointed to the United Nations' Independent International Scientific Panel on AI, the first global scientific body dedicated entirely to AI. Within the United Nation's AI Panel, she leads Working Group 4 on Security, Systems, and Environmental Implications.

She has been actively contributing to global and national AI initiatives, including the International Network of AI Safety Institutes, Frontier Model Forum, Australia’s AI Safety Standards. In recognition of her leadership and impact, she received the Asia-Pacific Women in AI Trailblazer Award in 2023.

She has published over 200 papers in premier international journals/conferences and delivered influential keynotes including “AI Engineering: From Software-Centric Systems to AIware-Centric Systems” at the 48th International Conference on Software Engineering (ICSE 2026, A* conference). She recently published two bestselling AI practitioner books with Pearson Addison-Wesley: Responsible AI: Best Practices for Creating Trustworthy AI Systems and Engineering AI Systems: Architecture and DevOps Essentials.

My research group works in the area of vascular fluid dynamics. We work closely with local hospitals, including Prince of Wales, Royal Hospital for Women and Concord Hospital, and also with local medical companies.

Our research includes work on the blood flow in stenosed and stented arteries (including bifurcations), hemodialysis, myocardial bridging and we also have developed new methodologies for surgical trainers and ultrasound imaging.

Dr. Jae-Woong Jeong is a KAIST Endowed Chair Professor in the School of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST). He received his PhD in Electrical Engineering from Stanford University in 2012 and conducted postdoctoral research at the University of Illinois at Urbana-Champaign from 2012 to 2014. Prior to joining KAIST, he was an Assistant Professor of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder from 2015 to 2017. His research focuses on adaptive bioelectronics—electronic systems that enable physically adaptive and bidirectional interactions with the human body and brain. His work spans wearable and implantable biointerfaces for neural interfacing, physiological monitoring, and therapeutic intervention, with applications in bioelectronic medicine, neuroscience, and human–machine interfaces. His research aims to advance next-generation bioelectronic technologies toward seamless biological integration and clinical translation.

Dr. Jeong has received several notable honors, including the Korea Scientist and Engineer Award from the Ministry of Science and ICT (2025), the S-Oil Young Scientist Award (2023), and recognition for one of the Top 100 National R&D Achievements in Korea (2023). He currently serves as an Associate Editor of ACS Digital Medical Engineering.

Saeid Iranmanesh received his Ph.D. in ICT Engineering from the University of Wollongong in 2015. He has extensive experience in research, teaching, and academic leadership in higher education, complemented by strong research and development experience in industry. He has also worked with MicroMax company as a Senior Research Fellow on the ARC Sensor Hub project. He is a Senior Member of the IEEE and a Fellow of Engineers Australia. His research interests include wireless networks and sensing, the Internet of Things (IoT), intelligent transportation systems, and smart cities.