Professor Antonio (Tony) Paolini stands as a prominent figure in both the bionics landscape and the realm of neural mechanisms of sensory coding. Over the years, he has pioneered research in areas such as electrical stimulation of the cochlea, auditory brainstem dynamics, and the use of conducting polymers in neural recording. These contributions have provided invaluable insights into auditory neural systems and brain coding, shaping the foundation for the next generation of neural prosthetics. His joint work with Professor Zambretta, another pioneer at ISN Innovations, is a testament to his dedication to blending neuroscientific understanding with AI-driven methodologies. This collaboration further underscores Paolini's steadfast commitment to delving deep into the confluence of neural systems, bionics, brain coding, and advanced computational techniques.

Prof. Fabio Zambetta is a renowned computer scientist with deep expertise in AI & Mixed Reality Simulation. Educated at the University of Bari, Italy, he holds a Master's in Computer Science and a PhD in Artificial Intelligence. Presently, he is honored with a professorship in AI & Mixed Reality Simulation at RMIT University, underscoring his academic distinction and leadership in the realm. Beyond academia, Prof. Zambetta brings his vast experience to the forefront as the Chief Technology Officer (CTO) for the Centre for Artificial Intelligence in Mental Health Innovations at ISN Innovations. With extensive industry involvement, he's had pivotal roles in various industry-centric projects. His pioneering research encompasses Artificial Intelligence, Computer Vision, and Human-Computer Interaction. Recognising his contributions, he was named a Cloud Research Software Fellow by Microsoft Asia in 2019. Prof. Zambetta's wealth of knowledge and innovation are pivotal as ISN Innovations pushes the boundaries of technology in mental health.

Highly skilled in the design and application of Brain-Computer Interfaces, with an in-depth understanding of AI techniques, including deep learning and machine learning algorithms. Demonstrated proficiency in User Experience, focusing on the integration of neurotechnology into human-computer interactions. Comprehensive knowledge in signal processing, particularly in the context of neuroimaging and quantitative EEG analysis. Familiar with a range of programming languages such as Python, JAVA, C++, and expertise in using software development and visualization tools such as      Godot, Unity, Unreal Engine, Blender, and MATLAB. Additionally, he exhibits a strong foundation in human cognition, neuroprosthetics, and closed-loop bionic systems.

Dr Damith Senanayake, is a proficient Software and Machine Learning Engineer and AI Researcher, is distinguished by his expertise in Data Science, Machine Learning and AI. Skilled in Python, R, and TensorFlow, his research has been recognised in leading conferences like ICML and respected journals such as Bioinformatics. At the University of Melbourne, Dr Senanayake has spearheaded AI projects and made significant advancements in the application of AI to biomechanics, seamlessly integrating technology with human motion studies. After earning a Ph.D. focused on high-dimensional data analysis in Computational Biology, Dr Senanayake continued his academic pursuits with a postdoctoral position, publishing in high-impact journals and further solidifying his reputation in the field. During his tenure at WSO2 INC, he contributed to the development of open-source middleware platforms serving a diverse range of industries. With a commitment to excellence and innovation, he is well-positioned to enhance forward-thinking teams and initiatives.