The University of Glasgow uses cookies for analytics and advertising. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Hotjar helps us to understand and improve our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Marketing cookies are used to ensure our marketing content is relevant, timely and interest based. They allow our approved partner to measure effectiveness and serve appropriate and personalised marketing messages on other websites based on your activity on glasgow.ac.uk
email:
Mahdieh.ShojaeiBaghini@glasgow.ac.uk
pronouns:
She/her/hers
Liu, F. , Shojaei Baghini, M. , Chakraborty, M. , Christou, A. and Dahiya, R. (2022) Sensorimotor Correlation Using Printed Synaptic Transistors and Conditioning PCB. In: 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS), Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781594)
Mishra, S. , Shojaei Baghini, M. , Shakthivel, D., Rai, B. and Dahiya, R. (2022) Sensitivity Analysis of ZnO NWs Based Soft Capacitive Pressure Sensors Using Finite Element Modeling. In: 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS 2022), Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781566)
Shojaei Baghini, M. and Dahiya, R. (2022) Direct Ink Writing of Tunnelling Graphite Based Soft Piezoresistive Pressure Sensors. In: 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS 2022), Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781527)
Liu, F. , Deswal, S. , Christou, A., Shojaei Baghini, M. , Chirila, R., Shakthivel, D., Chakraborty, M. and Dahiya, R. (2022) Printed synaptic transistor–based electronic skin for robots to feel and learn. Science Robotics, 7(67), eabl7286. (doi: 10.1126/scirobotics.abl7286) (PMID:35648845)
Shojaei Baghini, M. , Vilouras, A. , Douthwaite, M., Georgiou, P. and Dahiya, R. (2021) Ultra-thin ISFET-based sensing systems. Electrochemical Science Advances, (doi: 10.1002/elsa.202100202) (Early Online Publication)
Shojaei Baghini, M. , Vilouras, A. and Dahiya, R. (2021) Ultra-thin chips with ISFET array for continuous monitoring of body fluids pH. IEEE Transactions on Biomedical Circuits and Systems, 15(6), pp. 1174-1185. (doi: 10.1109/TBCAS.2022.3141553)
Liu, F. , Deswal, S. , Christou, A., Shojaei Baghini, M. , Chirila, R., Shakthivel, D., Chakraborty, M. and Dahiya, R. (2022) Printed synaptic transistor–based electronic skin for robots to feel and learn. Science Robotics, 7(67), eabl7286. (doi: 10.1126/scirobotics.abl7286) (PMID:35648845)
Shojaei Baghini, M. , Vilouras, A. , Douthwaite, M., Georgiou, P. and Dahiya, R. (2021) Ultra-thin ISFET-based sensing systems. Electrochemical Science Advances, (doi: 10.1002/elsa.202100202) (Early Online Publication)
Shojaei Baghini, M. , Vilouras, A. and Dahiya, R. (2021) Ultra-thin chips with ISFET array for continuous monitoring of body fluids pH. IEEE Transactions on Biomedical Circuits and Systems, 15(6), pp. 1174-1185. (doi: 10.1109/TBCAS.2022.3141553)
Liu, F. , Shojaei Baghini, M. , Chakraborty, M. , Christou, A. and Dahiya, R. (2022) Sensorimotor Correlation Using Printed Synaptic Transistors and Conditioning PCB. In: 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS), Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781594)
Mishra, S. , Shojaei Baghini, M. , Shakthivel, D., Rai, B. and Dahiya, R. (2022) Sensitivity Analysis of ZnO NWs Based Soft Capacitive Pressure Sensors Using Finite Element Modeling. In: 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS 2022), Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781566)
Shojaei Baghini, M. and Dahiya, R. (2022) Direct Ink Writing of Tunnelling Graphite Based Soft Piezoresistive Pressure Sensors. In: 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS 2022), Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781527)
https://orcid.org/0000-0003-3685-5441