Research Students
Ritwik Jain
Neuromorphic Computing
Ritwik Jain is a PhD candidate at the International Centre for Neuromorphic Systems (ICNS) whose research focuses on brain-inspired artificial intelligence. He develops energy-efficient neuromorphic computing frameworks that use event-based neural networks and low-precision computing to make AI systems faster, smarter, and less power hungry.
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Quynh Nhu Le
Neuromorphic Artificial Intelligence
Qyunh Nhu Le's is a PhD candidate at the International Centre for Neuromorphic Systems (ICNS). Her research focus is on Event-Based Predictive World Modeling through Structured Memory and Joint-Embedding Learning.
Richard Powrie
Acoustic Environmental Monitoring
Richard Powrie is a PhD candidate at the International Centre for Neuromorphic Systems (ICNS) researching autonomous acoustic monitoring technologies for environmental applications. His work combines robotics, sensing, and AI to develop low-power systems that can detect and classify sounds in remote environments, supporting biodiversity monitoring and conservation efforts.
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Shivaram Mani
Stochastic and Statistical Analysis
Shivaram Mani is a PhD candidate at the International Centre for Neuromorphic Systems (ICNS). He is a quantitative researcher who uses mathematics, statistics and computer modelling to understand how complex systems notice change. His work crosses neuroscience, engineering and data science, usually with the goal of making difficult ideas behave themselves long enough to become useful.
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Mubah Mustafa
Artificial intelligence and Fetal Monitoring
Mubah Mustafa is a PhD researcher working on woman-centred co-design for fetal monitoring. Her research combines women's experiences, clinical expertise, and AI to create decision-support systems that help clinicians interpret fetal heart rate data while supporting informed decision-making and women's autonomy during childbirth.
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Belman Jahir Rodriguez Nino
Acoustic AI and UAV Detection
Belman Jahir Rodriguez Nino is a PhD candidate and research assistant at the International Centre for Neuromorphic Systems (ICNS). His research uses artificial intelligence, acoustics, and sensor fusion to detect, identify, and track drones in outdoor environments. He develops advanced audio processing systems for defence, security, environmental monitoring, and autonomous sensing applications.
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Napat Sahapat
Evolutionary Computation
Napat Sahapat's research aims to discover novel learning mechanisms for spiking neural networks by using evolution as a tool for discovery. He is interested in exploring how evolutionary optimisation (algorithms relying on natural selection) can be used to search for better learning rules to control synaptic and structural plasticity in a spiking neural network.
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Samuel Tensingh
Neuromorphic Hardware
Samuel Tensingh is a PhD candidate at the International Centre for Neuromorphic Systems (ICNS) developing next-generation computer chips inspired by the human brain. His research focuses on neuromorphic hardware for spiking neural networks, aiming to create highly efficient AI systems that consume less power while performing complex tasks.
Zack Wilcox
Space-Based Neuromorphic Vision
Zachary Wilcox is a PhD candidate at the International Centre for Neuromorphic Systems (ICNS) researching event-based vision sensors for space applications. His work develops brain-inspired sensing technology to improve space situational awareness and monitor atmospheric phenomena, helping create faster and more efficient observation systems for future space missions.
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