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Deep Tech Projects

Application for Master’s/PhD students extended till 5 FEB 2021.
Apply now or find out about the projects in detail via the buttons below.

Find out about the projects via the cards below or click here for the full project descriptions.

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  • ACK1: Structural Health Analytics (IoT)

  • AEV1: Acoustic Classification of Physiological and Environmental Sounds Using Machine Learning

  • AFF1: Deep Learning for Social Media

  • AIP1: Analyse Consumer Conversations for Recommendations in FMCG Sector

  • AIP2: Predicting Food Trends Across Geographies in Asia

  • ALZ1: DNA Sequencing for Enzyme Engineering

  • ALZ2: Strain Optimisation for Production of High Value Compound

  • ARC1: AI Driven Industry 4.0 Vision & Optimisation

  • ARC2: Blockchain Solution for Industry 4.0 Integrated Shop Floor & Supply Chain

  • ATO1: Design and Development of Environmental Control Systems

  • ATO2: Hardware Minaturisation and Software Optimisation

  • ATO3: Miniaturised Cold Atom Trap for Interferometry

  • AUG1: Fully-integrated and Offline Robot Simulator for AI-Robot Programming

  • BEX1: Mechanical Design for Autonomous Marine System

  • BRE1: Detecting Cancer & Infectious Diseases Using Similar COVID-19 Breath Test Technology (Hardware Prototyping & Integration)

  • CLO1: Enhancing Deep Learning Pipelines with Cyber Threat Intelligence for Cybersecurity Platform

  • CUR1: Develop Industrial 4.0 Systems for IoT Sensors

  • CUR2: Development of Advanced Calibration Systems for Autonomous Vehicles

  • ENT1: Applied Mathematics with Quantum Computing

  • ENT2: Numerics, Optimisation and Machine Learning Methods

  • EUR1: Calibration for High Accuracy Robotics

  • EUR2: Computer Vision for Robotics

  • FIN1: Innovative Credit Risk Modelling with AI

  • FIR1: AI-Based Analytics for Solar and Semicon Industries

  • HAS1: Carbon Credit Smart Contracts on Blockchain

  • HYD1: Development of Chemical-Free, Cost-effective Wastewater Treatment Systems

  • HYP1: Deep Learning for Jewellery Characteristics Recognition

  • KNO1: Property Analytics using Computer Vision

  • KRO1: Aerogel Nanomaterial Formulation (Material Scientist)

  • KRO2: Design and Development of Pilot Process Plant for Upscale Production

  • MED1: Deep Learning on Retinal Images

  • MIC1: Design Micro Intrusion Detection System (IDS) for IoT Devices

  • MIC2: Machine Learning for Anomaly Detection

  • NAN1: Patternable, High Optical Density Advanced Materials for New Generation of OLED & MicroLED Technology

  • NDR1: AI and Software Development for Medical Applications

  • NDR2: Hardware Robotics Design Project

  • NOV1: Building Intelligent Automation for Asset Management

  • ONL1: Building AI/ML Features for Multi-Platform App

  • PHA1: R&D on Microsphere Technology

  • POL1: Automation of Plant Measurements Using Micro Drones

  • POL2: Automation of Micro-drones for Pollination in Greenhouses

  • PLM1: Enterprise Software Platform for Chemical Companies

  • POR1: Data Science for Predictive Supply Chains [Demand Forecasting]

  • POR2: Data Science for Predictive Supply Chains [Predictive ETA]

  • PRE1: ACL Injury Diagnosis and Tracking Rehabilitation

  • PRE2: Knee Osteoarthritis Diagnosis and Progression Prediction

  • RES1: Enhancing IoT Firmware and Hardware for Efficient Operation

  • RES2: Forecast, Distinguish, and Optimise Electrical Demand

  • SIX1: Deep Learning for Detection of Manufacturing Defects

  • SOM1: Social Multimedia AI for Marketing

  • SPE1: Quantum Communications Technologies R&D

  • STA1: Financial Documentation Data Extraction

  • TAI1: Statistical R&D in NLP for Knowledge Work Automation

  • TRF1: Wireless Power for IoT

  • EKO1: Deep Learning on Echocardiograms

  • VOL1: Anode Formulation Engineering for High Silicon Anodes

  • VOL2: Electrode and Cell Design Fabrication and Characterisation

  • WAS1: AI for Good: Making Waste and Recycling Collection Sustainable through ML and Optimisation Modelling