Pubudu N. Pathirana received First Class Honours in B.E(Elec) Engineering and B.Sc(math) in 1996, PhD in Missile Guidance and Control in 2001 from the University of Western Australia(UWA) with Merit Scholarship Scheme(MSS) and IPRS scholarships for his undergraduate and post graduate education respectively. He was a postdoctoral research fellow at the Oxford University, UK sponsored by Ford motor co.(USA) in 2000/2001 and a research fellow in The University of New South Wales, Sydney and a consultant to the Weapons systems division of the Defence Science and Technology Organization(DSTO) Australia 2002/2003, before joining Deakin University in March 2003. He was a visiting Associate Professor at Yale University, USA in 2009. He has won numerous research grants including ARC(Discovery, LIEF), DSTO in excess of 5M and published in numerous international journals and conferences in areas including, navigation, vision based guidance, swarm robotics, and mobile computing/networking and applications into assistive devices and rehabilitation robotics. He is also a reviewer for several international journals, transactions and conferences. https://www.deakin.edu.au/about-deakin/people/pubudu-pathirana
Dr Ronny Kutadinata joined the School of Engineering at Deakin University in 2019 as a Lecturer in Mechatronics. He specialises in mathematical modelling of physical systems for optimisation, control and automation. His research interests include vehicle and traffic modelling, traffic network control, and transport optimisation. Before joining Deakin, Dr Kutadinata had worked as a postdoctoral research fellow at the University of Melbourne and as a Senior ITS Engineer at the Australian Road Research Board. He was responsible to lead several projects and initiatives both at UoM and ARRB, some of the notable ones include: initiating a collaborative project with Hannover University; leading a work package for an industry-led iMOVE Freight Data Study project; and being the Technical Secretary of the 2nd International Driverless Vehicle Summit. https://www.deakin.edu.au/about-deakin/people/ronny-kutadinata
Dr. Niroshinie Fernando is currently a lecturer in software engineering at Deakin University, Australia. His research interests are in pervasive computing (IoT/cyber-physical systems) and software engineering. His teaching has typically been related to cloud & mobile applications, IoT and software engineering. https://www.deakin.edu.au/about-deakin/people/niroshinie-fernando
Dr. Bahareh Nakisa is a Lecturer of Applied AI and the course director of Applied AI at School of Information Technology, Deakin University, She received a B.Sc. degree in Soft Engineering from Iran in 2008, Master of Computer Science from the National Univeristy of Malaysia in 2014, and a PhD in Computer Science (Artificial Intelligence) from the Queensland University of Technology (QUT), Australia in 2019. She started working in Industry as AI scientist and Lead AI scientist and then she joined School of Information Technology, Deakin University as a Lecturer of Applied AI in 2019. Her research spans a broad range of topics related to the Artificial Intelligence, Machine learning, deep learning. She has applied analytic and algorithmic tools from these fields to solve real-world problems related to diverse domains specially in Transportation, Health, Affective Computing, and air quality.
Bipasha Kashyap is currently a Data Science Research Engineer in the NSBE Research Group, School of Engineering, Deakin University, Australia and is currently leading a team of ML engineers in the Medical Research Future Fund (MRFF) – Biomedical Translation Bridge project. She has been honoured with the prestigious Data61 Ph.D. scholarship, CSIRO, Australia and has completed her Ph.D. in Biomedical Engineering with the NSBE research group. She received a B.E. degree (first-class honours) in Electronics and Telecommunication Engineering from Gauhati University, India, and a M.E. degree (first-class honours) in Electronics and Management Engineering from Deakin University, Australia. She received the Outstanding Final Project Award in her M.E. with an opportunity to present her project to the then honourable Prime Minister of Australia (Malcolm Turnbull) in Engineers Australia. She holds the prestigious 2016 veski inspiring women Victorian Fellowship, Australia, following which she worked with Australian Road Research Board (ARRB) as a Hardware Design Engineer. During her PhD, she has received multiple awards in university, national and international science competitions for outstanding creative research demonstrations in the 3 Minute Thesis, Visualise Your Thesis and FameLab Competitions. She has also established a strong collaboration with renowned neurologists and researchers from Florey Institute of Neuroscience, Royal Victorian Eye & Ear Hospital, Alfred Health Cerebellar Ataxia Clinic and CSIRO-Data61. Her current research interests include acoustic signal processing, human motion analytics, scalable machine learning algorithm and system design, driving AI/ML pipeline building in the Cloud and Network Engineering. For more information on her profile: https://wordpress.com/home/bipashak21.wordpress.com
RAGIL KRISHNA is currently a Data Science Research Engineer in the NSBE Research Group, School of Engineering, Deakin University, Australia and is currently leading a team of ML engineers in the Medical Research Future Fund (MRFF) – Biomedical Translation Bridge project. He has completed his Ph.D. in Biomedical Engineering with the NSBE research group. He received a B.E. degree (first-class honours) in Electronics and Instrumentation Engineering from M.G. University, India, and a M.E. degree (first-class) in Electronics from Deakin University, Australia. He has established strong collaboration with renowned neurologists and researchers from Florey Institute of Neuroscience, Royal Victorian Eye & Ear Hospital, and Murdoch children institute. He also established several collaborations with industries and international universities. His current research interests include biomedical signal processing, human motion analytics, machine learning and AI, remote rehabilitation, and control system engineering. Other interest includes medical device design, 3D printing technologies, and quality management systems.
Dinh C. Nguyen is currently a researcher at the School of Engineering, Deakin University, Victoria, Australia, where he has received the Ph.D. degree in electrical engineering. He has published over 30 papers at the top-tier IEEE journals and conferences, such as IEEE Transactions on Mobile Computing, IEEE Wireless Communications Magazine, IEEE Communications Surveys and Tutorials, IEEE Internet of Things Journal, IEEE GLOBECOM, ICC, and CCGrid conferences. He has been a recipient of the prestigious Data61 PhD scholarship, CSIRO, Australia. He has been collaborating with many world-class researchers from Massachusetts Institute of Technology (MIT), Princeton University, USA, Nanyang Technological University, Singapore, Memorial University, Canada, Nokia Bell Labs, Spain, University of New South Wales, and University of Sydney, Australia. His research areas are federated learning, blockchain, wireless communications, Internet of Things, edge computing, security and privacy. His personal website is: https://sites.google.com/view/dinh-chi-nguyen/home.
R.D Pubudu L. Indrasiri is currently pursuing a Ph.D. degree received by Deakin University Postgraduate Research Scholarship (DUPRS) and working under supervision of Prof. Pubudu N. Pathirana and co-supervision of Dr. Mayuri Wijayasundara in Deakin University, Geelong, Australia. He is also a member of Networked Sensing and Biomedical Engineering Research Lab (NSC), Deakin University. He received the B.Sc. in Computer Science from the University of Colombo School of Computing, Sri Lanka, 2016, the M.Sc. degree in Network Security from the Charles Sturt University, Melbourne, Australia,2020 along with a First-Class Honours and Dean’s award for academic excellence. He is passionate about Java, Python programming, artificial intelligence and his research interests include machine learning, deep learning, decentralized deep learning, IoT, federated learning and privacy and security techniques.
Khoa D. Nguyen currently works as Senior Applied AI and ML Scientist at x-RD in providing novel and ethical solutions to complex problems across Government, Defence, Mining, Healthcare and Technology sectors. He was a major contributor in every aspect of the BioKin system, NSBE Research Group, Deakin University where he received a Ph.D. degree in Biomedical Engineering. He has been a recipient of scholarships funded by the Florey Institute of Neuroscience and the FARA-Ride Ataxia Research Award for his research. His areas of interest are image processing, IoT devices, adversarial attacks and causal inference.
Lahiru Laminda Abeysekara currently works as a Research Engineer and a PhD Candidate at the Networked Sensing & Biomedical Engineering Research Lab at Deakin University. His work is supported by multiple scholarships funded by NHMRC and MRFF grants and a FARA Ride Ataxia Research Award. During his undergraduate studies, he received an Innovation Award for his Honours project. Lahiru’s current work is based on Medical Devices, Knowledge Representation and Machine Learning, Signal Processing, Neurological disorders, Human Motor Functions, Health Informatics, and IoT.
Kanishka Ranaweera is currently reading his PhD under the supervision of Prof. Pubudu N. Pathirana and co-supervision of Dr. David Smith (Data 61, CSIRO). He received First Class Honours in B.Eng (Mechatronics and Robotics) from the University of Western Sydney in 2021, He has been awarded the University Medal for his Outstanding Academic Performance along with the Vice Chancellors Award for his final year and Dean’s Merit for 4 consecutive years. He is a member of Network Sensing and Control (NSC) Research group at Deakin and a member of Information Security and Privacy (ISP) Research Group at CSIRO Data61. He is also a recipient of the prestigious Data61 PhD scholarship, CSIRO, Australia. His research interests are Data Privacy, Federated Learning, Industrial Internet of Things (IIoT), Differential Privacy and Edge Computing.
Sean Starick currently works at the Networked Sensing & Biomedical Engineering Lab at Deakin University. Under the supervision of Professor Pubudu Pathirana, his role is as an embedded systems engineer contributing to a medical device project funded by the Medical Research Future Fund (MRFF). He received a Bachelor of Mechatronics Engineering degree from Deakin University in 2021 (first class honours). During his undergraduate studies he was awarded the Deakin Scholarship for Excellence in 2020 and the School of Engineering Head of School Mechatronics Award in 2021. Sean’s areas of interest include embedded systems, automation and control systems.
Srinivas Shesham is currently working as MRFF (Medical Research Future Funds) Project Manager. He is a government management professional in the health services industry delivering emergency services. He is also a recipient of a patent in VoIP domain from 2000, as an inventor for VoizBridge. He has over 28 years of software development and over 11 years of Project Management experience in ICT, specialising in software delivery projects including high end infrastructure solutions. His domain expertise lies primarily in complex large scale enterprise solutions with a strong focus on middleware platforms, especially in Enterprise Java and messaging systems. He has a keen interest in medical and health related technology solutions.
Thang Ngo (Tony) currently works as a Research Engineer and a PhD Candidate at the Networked Sensing & Biomedical Engineering Research Lab at Deakin University. His work is supported by multiple scholarships funded by National Health and Medical Research Council and Medical Research Future Fund grants and a Florey Institute and Friedreich’s Ataxia Research Alliance Postgraduate Research. He received the B.Sc. (first-class honours) in Electronics and Communication Engineering, Advanced Program, from Danang University of Science and Technology, Vietnam and an M.E. degree in Communication and Signal Processing from Chung-Ang University, South Korea. He has established a strong collaboration with renowned neurologists and researchers from Florey Institute of Neuroscience, Royal Victorian Eye & Ear Hospital, Alfred Health Cerebellar Ataxia Clinic. Tony gained industrial experiences while working in an Artificial Intelligence company that developed a cognitive social robot in South Korea. He is interested in Blockchain security and Web Applications security.