[MindsCDT-students] Canceled: MINDS CDT 2020 PhD Projects Pitch

[mindscdt]

Dear All
See below running order for the projects pitch tomorrow.  Each will last for 2 minutes with the slide moving to the next one after that time.  Participants are asked to switch off mics and video when not presenting to save bandwidth.  As time is limited there will not be time for Q&A but students will have the opportunity to put questions to the supervisors via Padlet for supervisors to follow up.
Link to meeting is at the bottom of this invite.
Best
Nicki

Project Ref
Project Title
Lead Supervisor
Pitch position
MINDS2019-4R
TAILS: Trusted Autonomous Iterative Learning Systems
Tim Norman
1
MINDS2019-11R
Nanoelectromechanical Coupled Nonlinear Oscillator Arrays for On-chip AI
Yoshi Tsuchiya
2
MINDS2019-25R
Analysis of ambient marine noise through machine learning to coherently process distributed dense spatio-temporal profiles
Mohammed Belal
3
MINDS2020-4
Secure computing systems based on stochasticity of RRAM
Alex Serb
4
MINDS2020-5
Hardware accelerators for space applications
Themis Prodromakis
5
MINDS2020-6
AI hardware accelerators
Themis Prodromakis
6
MINDS2020-7
Hardware for symbolic processing AI-HARD
Alex Serb
7
MINDS2020-8
Hardware accelerators for neuromorphic sensing
Alex Serb
8
MINDS2020-9
Photo synapses for artificial visual systems
Dimitra Georgiadou
9
MINDS2020-10
Continual learning for unsupervised robot ego-noise prediction
Christine Evers
10
MINDS2019-8R
Game Theory and Multi-Agent Systems to Detect and Respond to Cyber Intrusions in IoT Environments
Leonardo Aniello
11
MINDS2020-11
Abnormal event extraction for outdoor spaces using natural language processing (social media) and machine listening (audio sensors)
Stuart E. Middleton
12
MINDS2020-12
Hardware for symbolic processing AI-MATH
Alex Serb
13
MINDS2020-13
Hardware for symbolic processing AI-COMP
Alex Serb
14
MINDS2020-14
Multi-modal self-supervised learning for Neurorobotics
Christine Evers
15
MINDS2020-15
Time-constrained collaborative learning in human-robot teams
Danesh Tarapore
16
MINDS2020-16
Combined audio-visual 3D scene analysis
Dr Hansung Kim
17
MINDS2020-17
Collaborative Learning for Situational Awareness
Tim Norman
18
MINDS2020-18
Reducing Carbon Emissions in Shipping: Tax Incentives, Optimisation and Prediction
Enrico H. Gerding
19
MINDS2020-19
Machine Learning aided Adaptive Hierarchical Modulation based Cooperative Non-Orthogonal Multiple Access
Michael Ng
20
MINDS2020-21
Exploring information structures in multi-agent reinforcement learning
Yali Du
21
MINDS2020-22
REACTOR: Robust Embedded Adaptive Control Techniques for Online Reconfiguration
Matthew Turner
22
MINDS2020-24
ARCHANGEL: Adaptive Resource Constrained Hardware Algorithms for Next Generation Embedded Learning
Steve Gunn
23
MINDS2019-16R
Machine Learning Based On-chip Detection of Security Attacks
Basel Halak
24
MINDS2020-23
PORCPI: Predicting Operating Regime Characteristics with Parsimonious Intelligence
Paul Lewin
25

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