Teaching

VLSI Design and Emerging Technologies EEME M0005 (Postgraduate) (2025-current)

Digital Circuit Fundamentals EEME 10001 (Undergraduate) (2024-current)

VLSI Design EENG 34050 (Undergraduate) EENG M4050 (Postgraduate) (2021-2024)

Digital Design, Group Project EENG 28010 (Undergraduate) (2021-2024)

Guest lecturer for Biosystems and Biorobotics EMAT M0062 (Postgraduate) (2023)

Research Project EENG M8000 (MSc) (2021-current)

The list of finished projects is:

Haibo Lian (2023), “Design and modelling of a telemetry circuit for a sensing-actuator device for bladder,” (Graduated with Distinction).

Qingyu Zhang (2023), “Design and modelling of power conditioning circuits for triboelectric nanogenerators,” (Graduated with Distinction).

Haoxuan Li (2023), “Finite-element-method analysis of interaction between an implantable actuator and bladder.”

Zhihua Jiang (2022), “Design and development of an Ag/PDMS-based strain sensor for hand movement monitoring,” (Graduated with Distinction).

Xin Zhang (2022), “Design and modelling of a wireless power transfer circuit for a shape memory alloy-based actuator for the bladder,” (Graduated with Distinction).

Minghui Cui (2022), “Design and development of fabric-based strain sensors for hand gesture monitoring,” (Graduated with Distinction).

Mehmet Ozcelik  (2022), “Finite-element-method (FEM) analysis of an organic electrochemical transistor (OECT) sensor for ion sensing.”

Jessica Randall  (2022), “Encapsulation and thermal characterisation of a shape memory alloy-based actuator for the bladder.”

Kieran Holmes-Martin (2021), “Finite-element-method (FEM) analysis of forces applied by shape memory alloy (SMA)-based actuators onto soft organs for actuators’ design,” (Graduated with Distinction).

Jiahong Zhao (2021), “Characterisation of flexible pressure sensors for wireless communication with smartphones,” (Graduated with Distinction).

Ziyin Shao (2021), “Finite-element-method (FEM) analysis of micro-electro-mechanical systems (MEMS) microplasma switches.”

Shiyi Xiang (2021), “Design and finite-element-model (FEM) analysis of switch-based polymer micro-electro-mechanical systems (MEMS) cantilevers for volatile organic compounds (VOCs) detection.”

Individual Research Project 4 EENG M8889 (MEng) (2022-current)

The list of finished projects is:

Michael Gugala (2024), “Development of a pressure sensing system,” (Graduated with First Class Honours).

Frank Gaze (2022), “Design and development of a fabric-based strain sensor for respiratory rate monitoring,” (Graduated with First Class Honours).

Narain Nithiarasu (2022), “Finite-element-method (FEM) analysis of a triboelectric nanogenerator (TENG).”

Individual Research Project 3 EENG 30009 (BEng) (2022-current)

The list of finished projects is:

Zian Li (2024), “Design and development of gesture recognition system for glove-integrated fabric resistive strain sensors.” (Graduated with First Class Honours).

Wenbo Deng (2024), “Development of an ECG monitoring system for activity monitoring.”

Edward Guo (2024), “Finite-element-method analysis of a piezoelectric nanogenerator.”

Yizhen Wang (2023), “Design of a mobile app using Flutter for monitoring ECG signals by a MikroElektronika click board.”

Kulsoom Asif (2022), “Continuous bladder volume monitoring using sensor interface and mobile application,” (Graduated with First Class Honours).

Samuel Omiye-Adeolu (2022), “A mobile controlled, wireless actuation system for assisting underactive bladders.”

Wenhao He (2022), “Design and development of a skin-mountable flexible strain sensor for wearable health monitoring.”

Harry Earle (2022), “Design and development of an elastomer-based triboelectric nanogenerator.”

Individual Research Project (Mechanical and Electrical Engineering) (BEng) (2023-current)

The list of finished projects is:

Ziya Ruso (2024), “Real-time health and usage monitoring system (HUMS) for uncrewed aerial vehicle (UAV) propulsion systems,” (Graduated with First Class Honours). (Co-supervised with Prof. Tom Richardson)

Sophie Jones (2024), “Design and development of a triboelectric nanogenerator as a fault detection sensor.”