Alireza Sanaei

Lecturer

Faculty:Faculty of Science and Engineering

Department:School of Computing and Information Science

Location: Cambridge

Areas of Expertise: Electrical and Electronic Engineering

Alireza is a lecturer in electronics and an active researcher in fields of wearable technology, algorithm development and forensic audio signal processing.

alireza.sanaei@anglia.ac.uk

Background

Alireza's current specific research focus is on developing wearable assistants for extreme sport training to enhance athletes’ performance and evaluate tactile motion instructions. He has previously worked in the forensic audio and signal processing in the development and optimisation of audio recording authentication using the electric network frequency criterion. He has a number of years experience in the industry working on embedded audio/video recording systems (AV Niche Recording Systems Ltd, 2008). In the early years of his career, Alireza was secretary of the Institution of Engineering and Technology (IET) Younger Member's Section (2006), and then served as chairman of the same committee in 2007.

Research interests

  • Gait Analysis
  • Mechatronics
  • Sensors and Wearable Technology
  • Audio Forensics (Electric Network Frequency Analysis)
  • Forensic Digital Signal Processing

Teaching

Digital Electronics; Core Technology; Audio Electronics; Signals and Control Systems; Engineering Mathematics; Analogue Electronics.

Qualifications

  • MPhil Audio Forensics; BEng (Hons) Electronic Engineering

Memberships, editorial boards

  • Member of the Institution of Engineering & Technology (MIET)
  • Fellow of the Higher Education Academy (FHEA)
  • Member of the Audio Engineering Society (AES)

Selected recent publications

Sanaei, A., Toulson, R., & Cole, M. (2014). Tuning and optimization of an electric network frequency extraction algorithm. Journal of the Audio Engineering Society, 62(1/2), 25-36.

Esfahlani, S. S., Muresan, B., Sanaei, A., & Wilson, G. (2018). Validity of the Kinect and Myo armband in a serious game for assessing upper limb movement. Entertainment Computing, 27, 150-156, doi: 10.1016/j.entcom.2018.05.003.

Recent presentations and conferences

Sadeghi, S., Cirstea, S., Sanaei, A., Wilson, G. (2017). An adaptive self-organizing fuzzy logic controller in a serious game for motor impairment rehabilitation. 26th IEEE International Symposium on Industrial Electronics, pp. 1311-1318, 19-21 Jun 2017, Edinburgh, UK. doi: 10.1109/ISIE.2017.8001435.

Esfahlani, S., Cirstea, S., Sanaei, A., Cirstea, M. (2018). Mixed reality and fire detection algorithm. 44th IEEE International Conference on Industrial Electronics, pp. 2757-2762, 21-23 Oct 2018, Washington DC, USA.