Dr Amal Hajjaj

BS, MS, PhD

Pronouns: She/her
  • Lecturer in Electromechanical Systems and Dynamics
Publications
Headshot of Amal, smiling whilst looking directly at the camera.

Background

Amal Hajjaj received her B.S. and master’s degrees in Mechanical Engineering from Tunisia Polytechnic School in 2012 and 2013, respectively, and her PhD degree in Mechanical Engineering from King Abdullah University of Science and Technology (KAUST) in 2019. Since October 2019, she has undertaken a new role at º¬Ðß²ÝÊÓƵ as a lecturer in Electromechanical Systems and Dynamics. She carried out her research in characterizing theoretically and experimentally the linear and nonlinear dynamics of NEMS and MEMS-based resonators with their applications in sensors and actuators.  

Qualifications

  • Doctor of Philosophy in Mechanical Engineering, King Abdullah University of Science and Technology (KAUST) (2014 - 2019), Supervisor: Prof. Mohammad I Younis 
  • Master of Science in Computational Mechanics, Ecole Polytechnique of Tunisia (2012 – 2013)

Awards

  • Best Research Paper - 2017, Best Paper Award in the ASME International Design Engineering Technical Conferences (IDETC 2017), Cleveland, Ohio, USA. 
  • PhD Scholarship from King Abdullah University of Science and Technology, 2014 

 

 

Dr Amal Hajjaj has significant expertise in the design, modelling, and characterization of nonlinear MEMS resonators-based sensors. Her Ph.D. research was focused on theoretically and experimentally investigating the linear and nonlinear dynamics of MEMS resonators when used, mainly, in sensing and filtering applications. In particular, she developed versatile pressure and gas sensor-based MEMS heated resonators for environmental monitoring applications.

Current research interests

  • Noise, vibration, and harshness (NVH) in electric vehicles (EV).
  • Design development and characterisation of multi-sensing miniaturised sensors (MEMS-based sensors) for environmental and automotive condition monitoring. She is also interested in fundamental knowledge of nonlinear dynamics of these MEMS sensors which are crucial for their safe implementations.

Grants and contracts

  • 07/2022-12/2022 EPSRC Transforming Foundation Industries Network + (University of Sheffield) – Multi-gas sensing toward the digitalization of foundation industries, in collaboration with WEIR and MPIUK (PI, £55,860). 
  • 01/2023-03/2023 NERC discipline hopping – Creating a smart environmental monitoring network (CoI, £17,971) 

 

Current teaching responsibilities

  • WSB122; Engineering Science 2
  • WSD102; Nonlinear Dynamics
  • WSD101; Drive Train Dynamics
  • FYF322; Engineering Science
  • WSC500; Individual Projects

Current administrative responsibilities

  • Admissions tutor for Mechanical Engineering Undergraduate course