In addition to my research, I teach students on some of our undergraduate and master degrees in the School of Electronics and Computer Science. My teaching is well received by students:
"Your lectures were the things I looked forward too each week."
More information on some of my teaching activities can be found below.
Below are modules that I am currently a module leader and/or teacher on*1:
This first-year module introduces digital system design, the principles of programmable logic devices, the implementation of combinational and sequential circuits, and the principles of hardware design using SystemVerilog.
This module is concerned with how electronic and computing devices can network with one-another, exploring the structure and purpose of layers in protocol stacks, through to example protocols and security implications and countermeasures. A key part of the module is the coursework, where students design and implement their own protocol(s) in hardware.
Computer networking is a core technology of the Internet of Things; without it, 'things' would be unable to communicate with each other. This module is concerned with how IoT devices network with each other, from the structure and purpose of layers in protocol stacks, through to example protocols, new directions, and security implications.
As a personal academic tutor, I help my tutees in their transition as they settle into university, and make sure that they make the most of their time studying at Southampton. I also advise and support them regarding their studies, and help with any academic or personal difficulties that may affect their progress. I also provide references to support employment or further study.
This module is the lab programme for all first-year students enrolled on an Electrical and/or Electronic engineering degree programme. It aims to give students the opportunity to apply the theory that they learn in their other modules, and to provide them with transferrable and subject-based skills that they will need for their degree and career.
This module includes design assignments that have been devised to provide a bridge between 'conventional' experiments and the project work in the third and fourth years, (which in turn provide a bridge to 'real' projects in industry). The exercises have real deadlines and concrete deliverables and students are encouraged to be creative, develop imaginative solutions and to make mistakes.
The individual project gives students the opportunity to gain detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree. Most projects are in the nature of a challenging engineering exercise in which there is scope for flair and originality.
This module prepares students for the summer Masters Project, giving them a grounding in the research methods and techniques they will need to plan and successfully complete their project. Part of the module involves identifying potential areas of research, reviewing literature, identifying a research question, and developing a research plan.
This research project enables student enrolled on MSc programmes to spend a semester exploring some aspect of their specialist subject area in conserable depth. They work on their individual research project with an allocated project supervisor, submitting a dissertation at the end of the project.
This module provides an introduction to intensive group project work in collaboration with an industrial or academic customer. Students work in groups of four or five on a challenging project which is typically based on an idea from an industrial partner, or from a research project looking to transfer technology to industry or build a demonstrator/proof of concept.
Below are modules that I have previously taught*1.
| Module Code | Module Title | Years Taught |
|---|---|---|
| ELEC1202 | Digital Systems and Microprocessors (Module Leader and Lecturer) | 2012-24 |
| ELEC1029 | ELEC Lab Year 1 (Module Leader and Lecturer) | 2011-24 |
| ELEC6211 | Project Preparation (Project Supervisor) | 2015-20 |
| ELEC3222 | Computer Networks (Module Leader and Lecturer) | 2015-19 |
| ELEC1032 | Engineering Challenges (Module Leader and Lecturer) | 2010-12 |
| ELEC1008 | Digital Circuits and Microprocessors (Module Leader and Lecturer) | 2009-12 |
| COMP6033 | Individual Research Review (Lecturer) | 2009-12 |
I have supervised many student projects across a number of different project-based modules, including individual undergraduate and MSc projects, individual research literature reviews, and group projects. I try to ensure that students under my supervision have a project that is aligned with their interest, ambitions and expectations, and gives them the opportunity to excel.
"I was fortunate enough to get Geoff as my 3rd year individual project supervisor. He actively promotes excellence in his students by ensuring they surpass their own expectations and produce quality results. I was especially impressed by his genuine care for students pursuing what they are interested in instead of what he is interested in. Coupled with this, Geoff's depth of knowledge in a variety of fields is astonishing and his insights are invaluable."
Details of some of the projects that I have previously supervised are listed below*1:
| Year | Type *2 | Title |
|---|---|---|
| 2024-25 | PIII | Solar Cells as Biometric Sensors |
| 2024-25 | PIII | Classifying Medicine Consumption via an Intelligent Pressure Pad |
| 2024-25 | PIII | Individually Addressable Smart Lighting |
| 2024-25 | PIII | Enabling Intermittent Inference on the MAX78000 |
| 2024-25 | PIII | Measuring and Predicting Time in Normally-Off Embedded Systems |
| 2023-24 | PIII | An Embedded Eye Tracking Device |
| 2023-24 | PIII | Efficient and distributed inference of transformer-based models |
| 2023-24 | PIII | Posture Detection and Feedback Using a Multimodal Large Language Model on Mobile Devices |
| 2023-24 | PIII | Triple-mode self-powered systems to enable uninterrupted monitoring for digital product passports |
| 2023-24 | PIII | Using Radio Frequency Transceiver to Aid Education in Embedded Networked Systems and Prototype an Energy-Efficient Plant Watering System |
| 2022-23 | PIII | Smart IoT Key Caps for Door Lock State Detection |
| 2022-23 | PIII | Embedded Hardware to Simulate Physical Touch within Virtual Reality |
| 2022-23 | PIII | Implementation of an FPGA-based NPU for Hardware Accelerating CNN Inference |
| 2022-23 | PIII | Investigation into Networking Intermittently Powered Devices |
| 2022-23 | PIII | Optimisation of solar energy harvesting in partially shaded conditions |
| 2021-22 | PIII | A Self-Powered Device which Promotes Fitness and Wellbeing |
| 2021-22 | PIII | Classifying the State of Door Lock Mechanisms for IoT Smart Home Systems |
| 2021-22 | PIII | Wearable System Development to Monitor Yoga Posture |
| 2021-22 | PIII | IoT Smart Tags For Tracking PC Component Wear To Support A Circular Economy |
| 2021-22 | PIII | An Investigation Regarding the Leveraging of Class-Granular Classifications with Dynamic DNNs |
| 2021-22 | PIII | Implementation of Multi-Layered Perceptron for Computer Vision on Edge Computing |
| 2020-21 | PIII | Persistent timekeeping in intermittently-powered embedded devices |
| 2020-21 | PIII | Evaluating the performance of Dynamic Deep Neural Networks on an intermittently powered device |
| 2020-21 | PIII | Dynamic Hardware-Aware Transformers (HAT) on Resource-Limited Embedded Hardware |
| 2020-21 | PIII | A Cost Effective Wearable device for Safety awareness during the Covid-19 Pandemic |
| 2019-20 | PIII | A self-powered battery-free IoT device with an e-Ink display |
| 2019-20 | PIII | Wearable swimming watch for advanced swim tracking |
| 2019-20 | PIII | Implementation of Dynamic DNNs on Neural Processing Unit |
| 2019-20 | PIII | Exploring data quality gathered on an intermittently powered device |
| 2019-20 | PIII | A Self-Powered Wearable Activity Monitor |
| 2019-20 | PIII | Exploring the trade-off performance metrics in DNN detection |
| 2019-20 | PIII | A Miniature, Multi-Purpose, IoT device for Smart Home |
| 2018-19 | PIII | Indoor Non-Intrusive Cough Detection Using Machine Learning |
| 2018-19 | PIII | Vision-based Traffic Counting on an Embedded Device |
| 2018-19 | PIII | LoRaWAN Networking in Battery-free Energy Harvesting Computing Systems |
| 2018-19 | PIII | Networking between Transient Computing Devices using Simultaneous Wireless Information and Power Transfer |
| 2018-19 | PIII | Learning and recommending efficient driver styles to improve fuel efficiency. |
| 2017-18 | PIII | Traffic Counting Using Computer Vision |
| 2017-18 | PIII | Mesh Networking in Transiently Powered Systems |
| 2017-18 | PIII | SenseCycle: A Battery-less Bluetooth Low Energy Bicycle Sensor Hub for Wind and Inclination Measurement |
| 2017-18 | PIII | Extracting Passing Patterns in Football in Order to Predict Effectivity |
| 2017-18 | PIII | Investigating Distributed Machine Learning for Energy Harvesting Prediction in IoT networks |
| 2016-17 | PIII | Secure, Mobile, Wireless Network for FES Rehabilitation |
| 2016-17 | PIII | Hardware Acceleration for typical Internet of Things Devices |
| 2016-17 | PIII | Investigating ARM mbed Support for Transient Computing Systems Powered by Energy-Harvesting |
| 2016-17 | PIII | Runtime Absolute Power Estimation and Breakdown for Mobile Devices |
| 2015-16 | PIII | Demonstrating the operation and comparing the performance of a multicore embedded systems |
| 2015-16 | PIII | Power Neutral Energy Harvesting Management for Multicore Embedded Systems |
| 2015-16 | PIII | Energy Efficient Object Detection and Tracking through Adaptive Operation on Heterogeneous Multi-core Systems |
| 2015-16 | PIII | Implementation and Evaluation of Hardware Acceleration for Stereo Matching Algorithms |
| 2015-16 | PIII | Wearable Literacy Teaching Aid for the Visually Impaired |
| 2014-15 | PIII | Utilising Android OS/Hardware Effectively To Create a Digital Signage Solution |
| 2014-15 | PIII | Design, construction and testing of a power and energy meter with auto-ranging and data-logging functionality |
| 2014-15 | PIII | Learning Heating Dynamics for Efficient and Effective Home Heating |
| 2013-14 | PIII | High CRI Tunable White LED Light Source |
| 2013-14 | PIII | A mobile application to assist sufferers of memory loss |
| 2013-14 | PIII | Realisation and Evaluation of Energy-Aware Information Management Approaches for Wireless Sensor Networks |
| 2012-13 | PIII | Smart Web-connected Thermostat Based on Personal Location Identification to Reduce Domestic Energy Wastage |
| 2012-13 | PIII | Design and Evaluation of Middleware For Smart Home Systems Using Web Based Technologies |
| 2012-13 | PIII | Energy Monitoring for Wireless Sensor Network Nodes |
| 2012-13 | PIII | Predictive Control of Household Appliances Using Weather Forecasts to Effectively Utilise Wind Turbine Energy |
| 2011-12 | PIII | Non-Invasive Distributed Monitoring of Water Usage in the Home |
| 2011-12 | PIII | Wearable EMG biofeedback device |
| 2011-12 | PIII | Exploiting Supercapacitor Leakage Behaviour in Energy Harvesting-Wireless Sensor Nodes |
| 2010-11 | PIII | A Wearable Plantar Pressure Sensing System to Aid the Transition to Fore-Foot Running |
| 2010-11 | PIII | Integration of sensor arrays into a chair for investigation into ergonomics and posture correction |
| 2010-11 | PIII | Sign Language Recognition Using DG Tech glove |
| 2009-10 | PIII | A non-invasive method of tendon stress measurement using ultrasound |
| 2009-10 | PIII | Improving energy saving of space heating systems using occupancy detection and machine learning. |
| 2009-10 | PIII | Feasibility study for using online weather reports in a prediction system for micro-generators |
| 2023-24 | MSc | Ultra Low-Power Circuits for Intermittent IoT Systems |
| 2023-24 | MSc | A Sitting Posture Monitoring System with Multiple IMUs |
| 2023-24 | MSc | Efficient and Distributed Inference of Transformer-Based Models |
| 2022-23 | MSc | Microcontroller based Monitoring Device to promote Circular Economy |
| 2022-23 | MSc | Deployment of Dynamic Deep Neural Networks on Tiny-scale SoC Devices |
| 2022-23 | MSc | Optimizing Low-power Microcontroller Firmware for Efficient and Scalable Machine Learning Applications |
| 2022-23 | MSc | Smart Embedded System for Sustainable Buildings using Genetic Algorithm |
| 2022-23 | MSc | Battery Management based on the prediction of plug-in and pull-out time |
| 2021-22 | MSc | Smart Road Studs |
| 2021-22 | MSc | A Smart Wearable Fitness Auxiliary Device |
| 2021-22 | MSc | Managing Daily Dietary Habits with IMU Based Wearable Monitoring |
| 2021-22 | MSc | An Intermittently Powered Activity Monitor |
| 2021-22 | MSc | Smart Door Lock Detection System |
| 2021-22 | MSc | Predicting the Time of Day from Environmental Data |
| 2020-21 | MSc | Intelligent Resource Management for Embedded Systems |
| 2020-21 | MSc | Improving Neural Architecture Search for Once-For-All Networks |
| 2020-21 | MSc | Utilising Dynamic DNNs on Neural Processing Units |
| 2020-21 | MSc | Dynamic DNN Inference |
| 2020-21 | MSc | Utilising Dynamic DNNs in Modern Inference Engines |
| 2019-20 | MSc | Runtime Deep Neural Network Deployment on Mobile Devices |
| 2019-20 | MSc | Lambda distillation for top-N recommendation |
| 2019-20 | MSc | IoT Condition Monitoring System for Electrical Appliances |
| 2019-20 | MSc | Feature-Oriented Local Customisation via Residual-Based Unsupervised Debiasing |
| 2019-20 | MSc | Investigating on-chip hardware support for intermittent computing |
| 2019-20 | MSc | Accelerating BERTs Computation via model compression and dynamic network |
| 2018-19 | MSc | Power Consumption and Machine Learning-based Ransomware Detection in the Internet of Things |
| 2018-19 | MSc | Solar Prediction Solve by Artificial Intelligent with Internet of Things |
| 2018-19 | MSc | Hardware design and implementation of a Deep Neural network system to count coughs |
| 2018-19 | MSc | Accelerating Computation for Machine Learning Workloads |
| 2018-19 | MSc | Distributed Deep Learning for the Internet of Things |
| 2017-18 | MSc | Wake-up Radios for Networking in IoT Systems |
| 2017-18 | MSc | Intermittent Computing on High Performance Out-of-Order Processing System |
| 2016-17 | MSc | FPGA implementation of lightweight cipher for Internet of Things |
| 2016-17 | MSc | The High-efficiency Method for Implementation of Non-volatile Processor on FPGA |
| 2016-17 | MSc | Applications of Energy-Driven Computing: A Transiently-Powered Wireless Cycle Computer |
| 2016-17 | MSc | A Reactive Memory Based Dynamic Power and Temperature Management Algorithm with Advanced Temperature Prediction Error Correction for Heterogeneous Architectures |
| 2015-16 | MSc | Efficient image-based road surface detection on an FPGA SoC |
| 2015-16 | MSc | Runtime Current/Power Measurement of Low-power Embedded to IoT Devices |
| 2015-16 | MSc | Hardware Control of DVFS for Minimization |
| 2015-16 | MSc | FPGA implementation of Road Surface Detection |
| 2014-15 | MSc | Design and Implementation of an FPGA-based Artificial Cerebellum CMAC Controller |
| 2014-15 | MSc | Implementing NoC-based Multi-processor Systems on FPGA |
| 2013-14 | MSc | ManyScale : Effect of Core-Scaling on Energy Efficiency in Many-Core Applications |
| 2013-14 | MSc | FPGA-Based Video Decoder with Intelligent Runtime Energy Management |
| 2013-14 | MSc | Analyse and Implement of Solar Harvested-Energy Prediction Algorithm |
| 2013-14 | MSc | PV cell modelling and research of the influence of operating conditions on electrical characteristic of PV cells |
| 2012-13 | MSc | An Investigation into the Energy/Latency trade-off in Cooperative Wireless Sensor Network |
| 2012-13 | MSc | Vehicles detection by low-power and low-cost sensor |
| 2011-12 | MSc | Testing for Human body energy harvesting |
| 2011-12 | MSc | Accelerometer-based activity recognition |
| 2011-12 | MSc | Explore power constraint face detection system based on Viola and Jones (Hardware) |
| 2011-12 | MSc | Run-Time Performance Counting in a Synthesised Multi-Core Processor |
| 2011-12 | MSc | Efficient solar-powered/USB battery charging for wearable devices |
| 2011-12 | MSc | Validating Routing Approaches in Information- and Energy-Managed Wireless Sensor Networks |
| 2011-12 | MSc | Adaptive Power Management using Machine Learning |
| 2010-11 | MSc | Modelling the Energy Consumption of Microcontrollers and Sensor Nodes |
| 2010-11 | MSc | A Wireless Sensor Network to Monitor Vibrations with In-Network Analysis |
| 2010-11 | MSc | Investigating the effect on energy consumption of instruction set reductions in the OpenMSP430 |
| 2010-11 | MSc | Evaluating the energy available from on-body cells |
| 2010-11 | MSc | Measuring the Power Consumption of Sensor Nodes In-Situ: On-Node Profiling |
| 2010-11 | MSc | Power Analysis And Dynamic Power Reduction Techniques Implementation On The MSP430 |
| 2010-11 | MSc | Measuring the Power Consumption of Sensor Nodes In- Situ : Off Node Profiling |
| 2010-11 | MSc | Solar Cell Characterisation, Modelling and Validation |
| 2010-11 | MSc | Intelligent Energy Harvester |
| 2009-10 | MSc | Modelling, Characterisation and Validation of Supercapacitors in Wireless Sensing Applications |
| 2009-10 | MSc | A microcontroller based data logger for environmental energy surveying |
| 2008-09 | MSc | Design and implementation of a miniaturised wireless sensor node for orientation monitoring |
| 2013-14 | IRR | Energy Harvesting Wireless Sensor Networks: A Paradigm Shift |
| 2013-14 | IRR | Face detection on embedded devices |
| 2012-13 | IRR | A Review of Electromyography Research for Wearable Muscle-Computer Interfaces |
| 2012-13 | IRR | Power Management Techniques for Multi/Many-Core Processor Architectures |
| 2011-12 | IRR | A Review of Energy Modelling in Wireless Sensor Network Simulation |
| 2011-12 | IRR | Investigation into the power reduction methods of processors |
| 2011-12 | IRR | Electrocutaneous Stimulation: Principles, Applications and Challenges |
| 2011-12 | IRR | Human-powered Inertial Energy Harvesting |
| 2010-11 | IRR | The Effect of Supercapacitor Models in Wireless Sensor Networks |
| 2010-11 | IRR | Use of IEEE802.15.4a Ultra wide-band in Ranging |
| 2009-10 | IRR | Providing Realistic Tactile Sensations to the Human Fingertips |
| 2008-09 | IRR | A Review of Wearable and Implantable Heart Sensors |
| 2008-09 | IRR | unknown |
| 2008-09 | IRR | Reducing Domestic Energy Consumption by Application of Wireless Sensor Networks |
| 2023-24 | GDP | Formation and Swarm Behaviour of ROVs |
| 2022-23 | GDP | Cloud-based, real-time energy monitoring for buildings |
| 2021-22 | GDP | Biodiversity Monitoring with Ultra Low Power Microcontrollers |
| 2020-21 | GDP | A cross-platform signal generator/oscilloscope/logic analyser app |
| 2018-19 | GDP | Footfall Monitoring End-to-End IoT Solution |
| 2017-18 | GDP | GPS unit for Integrated Secondary Flight Display |
| 2015-16 | GDP | Ultra-Low-Power Exercise Monitoring Applications for Sub-Threshold Micro-Controllers |
| 2015-16 | GDP | An Autonomous Vehicle Demonstrator using Computer Vision |
| 2014-15 | GDP | Low-cost Acoustic Vehicle Detection |
| 2013-14 | GDP | Low-Power Distributed Vehicle Detection and Contextualisation |
| 2010-11 | GDP | Touchy Feely: A Wearable Hand-Rehabilitation |
| 2009-10 | GDP | Battery free torque sensor |
*1 Disclaimer: Every effort was made to ensure that the information on this page was correct at the time of writing. However, it may be outdated by the time you read it. Please refer to the University website for up-to-date information. Photos used on this page are stock imagery, and do not necessarily provide an accurate depiction of the content of the module.
*2 Project Acronyms: Wondering what the various project 'type' acronyms stand for? "PIII": Part III Individual Project; "GDP": Group Design Project; "MSc": MSc Project; "IRR": Individual Research Review.