Mr Saeed Alighaleh

BSc in Electronic Engineering, MSc in Digital Communication Engineering (Babol University of Technology)

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Doctoral Candidate - Doctor of Philosophy

Biography

Saeed received his BSc in Electronic Engineering in 2009 and his MSc in Digital communication engineering in 2012, achieving first class honors in both degrees from the Babol University of Technology, Iran.  He chose RADAR digital signal processing field for MSc thesis entitled “Sidelobe Reduction of Polyphase Pulse Compression in Full Solid State RADAR”. In this thesis, he improved a novel method that increases the possibility of target detection fourfold.

Since the final year of his MSc, he has been employed as an Electronic Circuits designer in Negar Khodro Co. working on automotive electronics. While working there, he invented an ECU (Electronic Control Unit) tester checking ECU without being installed on cars, and designed a diagnostic system, which could connect to ECU by OBD connector for doing some functions such as programming, reading and writing ECU's EEPROM. After four years working in Negar Khodro Co., he has employed as an Air Traffic Safety Electronic Engineer in the Iranian Airports & Air Navigation Co. He was responsible for installing, maintaining and developing the equipment contributing to air transport safety: radars, automatic landing systems, IT systems, telecommunication systems.

After achieving precious experience during five years in workplaces , Saeed starts a doctorate in Bioengineering in September 2016. Now, he is a member of Gastrointestinal group in the Auckland Bioengineering Institute.

Research | Current

Thesis: New Foundations for Pacing the Stomach

Abstract: Omnipresent myogenic bioelectrical events known as slow waves are responsible for coordinating motility in the stomach. Recent studies have shown that patients suffering from functional motility diseases, such as gastroparesis and functional dyspepsia have slow wave dysrhythmias. Electrical stimulation is a potential therapy to correct abnormal or dysrhythmic slow wave patterns. Although a variety of gastric pacemakers have been designed and used in previous studies, the reported results and effects of electrical stimulation have been inconsistent. Currently there are no standard protocols for human gastric pacing in terms of lead type and placement, and the effective parameters to deliver a successful pacing impulse. To evaluate all the pacing parameters experimentally, a more flexible and reliable pacing device has been designed. Real time changes in the properties of the delivered pulse, and monitoring the tissue resistance, output current, and voltage were a priority in this new design. The device was tested on a benchtop and was then applied in experimental animal studies. This new pacing device will us help to improve and standardize the pacing protocols and provide a framework to understand and target the mechanisms underlying gastric dysrhythmias.

 

Research group:

Gastrointestinal System Group, Auckland Bioengineering Institute

 

Supervisors:

Areas of expertise

  • Hardware implementation (ARM, AVR, Analog Circuit)
  • Radar Signal Processing
  • Automotive Electronics
  • Underwater Acoustic Communication 

Selected publications and creative works (Research Outputs)

  • Alipour, M., Alighaleh, S., Hafezi, R., & Omranievardi, M. (2017). A new hybrid decision framework for prioritizing funding allocation to Iran's energy sector. Energy, 121, 388-402. 10.1016/j.energy.2017.01.024
  • Alighale, S., & Zakeri, B. (2014). An excellent reduction in sidelobe level for P4 code by using of a new pulse compression scheme. International Journal of Electronics, 101 (10), 1458-1466. 10.1080/00207217.2013.860687
  • Zakeri, B., Zahabi, M. R., & Alighale, S. (2012). Assessment of the weighting methods used in polyphase pulse compression in zero Doppler shift. ICEE 2012 - 20th Iranian Conference on Electrical Engineering. 10.1109/IranianCEE.2012.6292526
  • Malekzadeh, M., Khosravi, A., Alighale, S., & Azami, H. (2012). Optimization of orthogonal poly phase coding waveform based on bees algorithm and artificial bee colony for MIMO radar. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-642-31588-6_13
  • Zakeri, B. G., Zahabi, M., & Alighale, S. (2012). SIDELOBES LEVEL IMPROVEMENT BY USING A NEW SCHEME USED IN MICROWAVE PULSE COMPRESSION RADARS. Progress In Electromagnetics Research Letters, 30, 81-90. 10.2528/PIERL12011102