Imperial College London

Professor Timothy Constandinou

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Bioelectronics
 
 
 
//

Contact

 

+44 (0)20 7594 0790t.constandinou Website

 
 
//

Assistant

 

Miss Izabela Wojcicka-Grzesiak +44 (0)20 7594 0701

 
//

Location

 

B407Bessemer BuildingSouth Kensington Campus

//

Summary

 

Overview

Professor Timothy Constandinou's research interests are in microelectronics, neural microsystems, active implantable medical devices, neural interfaces, brain-machine interfaces, research platforms, and remote sensing using ultra-wideband radar. 

His lab focuses on advancing integrated circuit and microsystems technologies, targeting the development of translational devices to study, manage, or treat neurological conditions.

NGNI Lab page: https://www.imperial.ac.uk/next-generation-neural-interfaces

Research Staff

Bannon,A

Chen,Z

Feng,P

Mifsud,A

Rapeaux,A

Williams,I

Research Student Supervision

Ahmadi,N, Real-time Neural Decoding (lf-LFP processing) for Implantable BMIs (2016-2020)

Antoniades,D, Resource-constrained neural recording instrumentation for chip-scale implants (2021-)

Barsakcioglu,D, Resource Efficient On-Node Spike Sorting (2011-2015)

Berkay,O, Efficient wireless architecture for implantable neural microsystems (2022-)

Cavuto,M, Developing rapid and portable point-of-care molecular diagnostic solutions for low-resource environments (2018-2024)

Chen,Z, Unobtrusive in-home sensing of activities of daily living using ultra- wideband radar (2023-)

Guven,O, Computationally-Efficient Algorithms For Real-Time ECG Baseline Removal (2011-2016)

Haci,D, Intrabody Power & Data Communication Systems for Advanced Multi-Module Neural Implants (2015-2020)

Hadjipanayi,C, Coherent Ultra-Wideband Radar for Motion Analysis of Dementia Patients (2020-)

Hsieh,B, Microdevices to Investigate Sleep and Temperature Regulation in Mice (2017-)

Kirby,M, daptive deep brain stimulation for the amelioration of circadian dysfunction in patients with Parkinson’s disease (2022-)

Lauteslager,T, Coherent ultra-wideband radar-on-chip for biomedical sensing and imaging (2015-2020)

Leene,L, Brain Machine Interfaces: Low Power Techniques for CMOS Based System Integration (2012-2016)

Luan,S, Integrated Electronics for Targeted Intraspinal Microstimulation (2010-2014)

Manatchinapisit,V, Electrode Impedance Characterization for Implantable Neural Interfaces (2020-)

Maslik,M, Resource-Constrained Acquisition Circuits for Next Generation Neural Interfaces (2016-2021)

Mazza,F, Integrated sensors for ensuring chronic reliability in mm-sized neural implants (2016-2020)

Nairac,Z, Peripheral nerve interface for bidirectional control of an upper limb prosthesis (2021-)

Natalia,M, Low-power scalable microsystem for implantable neural interfaces (2023-

Paraskevopoulou,S, Hardware-Efficient Algorithms and Circuits for Highly Scalable BMIs (2009-2013)

Peilong,F, Completely wireless infrastructure for distributed mm-sized neural implants (2015-2020)

Rapeaux,A, Algorithms and Systems for Highly-Selective Neural Stimulation and Recording (2015-2020)

Savolainen,O, The Compression of Intracortical Neural Signals (2018-2023)

Serb,A, Electro-Optic Platform for Free Space CMOS Photonics (2009-2013)

Szostak,K, Microsystem integration and packaging for chip-scale implantable devices (2015-2020)

Troiani,F, Optical Neural Recording for Large-Scale Activity Monitoring (2014-2018)

Williams,I, Methods and Microelectronics for Proprioceptive Neural Feedback (2010-2014)

Wong,S, Intra-operative tissue identification using bioimpedance and optical characterisation (2020-)

Woods,S, Wireless Capsule Endoscope for Targeted Drug Delivery (2009-2016)

Yin,M, Unobtrusive in-home sensing of physiology and behaviour using ultra- wideband radar (2021-)

Yogendran,N, Networked Radar for Remote Patient Monitoring in Movement Disorders (2022-)

Zhang,Z, Neural Signal Processing for Implantable Medical Devices (2019-2023)