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Lecturer

Mohamed Hossameldin Zaky Mahmoud

Assistant Professor, Electronics and Communications Engineering

biography

I joined the Arab academy for science, technology and maritime transport (AASTMT), Alexandria, Egypt as an assistant professor at the department of electronics and communications engineering this year 2022. Currently, I am lecturing electronics courses for the bachelor degree. I was awarded my PhD by the University of Canterbury, Christchurch-New Zealand. The thesis title was "Neuroimaging of endogenous lapses of responsiveness". My research was supervised by the Christchurch Neurotechnology Research Programme –NeuroTech™ which is a joint venture between the New Zealand Brain Research Institute (NZBRI), the University of Canterbury (Electrical & Computer Engineering and Psychology), the University of Otago, Christchurch (Medicine), and the Canterbury District Health Board (Medical Physics & Bioengineering). The NeuroTech programme is primarily based at the NZBRI. I am specialized in two neuroimaging techniques: functional MRI (analysis of the BOLD signal to perform voxel-wise, cluster-wise, time-series, and functional connectivity), and EEG (analysis of non-invasive scalp electrodes signals to perform source localization/reconstruction). I worked as an assistant lecturer in the Electronics and Communications (EC) Engineering department at the Arab Academy for Science, Technology, and Maritime Transport (AASTMT), Alexandria, Egypt, from September 2013 to January 2018. I received my EC Engineering BSc degree, where I was ranked first in my class, and also my fully funded MSc degree from AASTMT in July 2013 and May 2016 respectively. I have been an active researcher in the brain research field in general, especially in the Brain-Computer Interface (BCI) technology, since my Bachelor's graduation project. Also, I am an active member of IEEE for 10+ years in a row.

Education

2022

Doctorate - University of Canterbury -

The doctor of philosophy (PhD) Electrical and Electronics Engineering

2016

Master - Arab Academy for Science, Technology and Maritime Transport -

Masters of Science, Excellent with Honor Electronics and Communications Engineering

2013

Bachelor - Arab Academy for Science, Technology and Maritime Transport -

Bachelor of Science, Excellent with Honor Electronics and Communications Engineering

experience

work experience

academic experience

publications

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Honors & awards

Honors

Toki Pounamu

The gifting of Toki pounamu from a supervisor to the student who has completed their PhD is a way for those who supported the student to celebrate the student's courage, determination, success, and bravery as well as linking the past to the present with reverence and respect.

Certificate of Proficiency

The successful completion of the Strategic Relationships pathway of Toastmasters International.

Engineering bachelors degree with honor.

Ranked first of my class according to GPA.

Professional Experience

  • IEEE Senior Member

communities

  • IEEE AAST ALEXANDRIA STUDENT BRANCH
    I am a former Mentor, Academic Advisor and Board Member (Treasurer)
  • U-CAN-SPEAK Toastmasters
    I am a former Vice President of Membership

Teaching Courses

Course Academic year Term

CC341 - Digital Electronics

2023 Spring Semester View All Content

EC339 - Electronics (2)

2022 Summer Semester View All Content

projects

Brain-Controlled Intelligent Prosthetic Arm

Graduation Project
Start Date : 01 Sep 2022-12 Jul 2023
Numerous individuals have sustained injuries resulting in the amputation of a limb. In their daily lives, even the most basic activities, like carrying a drink of water, are extremely challenging. Accidental or genetic absolute injury complexes the difficulty of the matter. Numerous attempts have been made to build a device that simulates the movement of a limb, such as a robotic arm, that is controlled by brain signals. This is because having injured limbs does not necessarily indicate a problem in the signals originating from perceptual and sensory interactions in the brain. This prompted us to build a simulation of the non-existent or inactive arm to propose an adaptable solution to the problem that has the potential to become more effective over time. In this project, we are designing a mechanical arm that can be disassembled and reassembled to grant varying degrees of freedom of movement, based on various brain signals that represent both movement-imagining signals and visual reaction signals that will be analyzed and classified by machine learning algorithms to determine the next movement, or a specific sequence of movements, which are communicated to the micro-digital controllers that in turn control the arm.

contact Me

Branch : AASTMT AbuKir Branch, Alexandria, Egypt

Office Phone :

Extension Number :

Fax :

Mobile : 01026680640

Email: Send Email

Location : AbuKir AAST 234