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£23/h
1st lesson free!
Tutor profile verified
Response Time 24h
Lessons offered by Neda
  • Individual
  • In group
The lessons will be held
  • By webcam
Taught subjects
  • Swimming
  • Synchronized swimming
Levels
  • All Levels

Computer Engineering lessons in london I have been teaching computer lessons for 7 years.

Methodology

My teaching method is based on both theoretical practical approaches (1/3 theoretical and 2/3 practical).

I bring some of useful related clips for student and after that students can apply the trained method on the applicable program and also can change it to other program and use their talent in order to give better results.

Background

I am a university lecturer and I have got my Master in computer Engineering in the field of Artificial Intelligence.
I have published several scientific papers in the field of identification of human iris.
I really enjoy teaching computer to students.

Rates

Rate for online lessons : £23/h
Rate for 5 hours of lessons : £100
Rate for 10 hours of lessons : £200
Lessons offered by Neda
Individual
In group
The lessons will be held
webcam
Taught subjects
  • Swimming
  • Synchronized swimming
Levels
  • All Levels

Neda's CV

Neda Ahmadi
CONTACT
INFORMATION
(concealed information)
E-mail: (concealed information)
(concealed information)
RESEARCH
INTERESTS
Image Processing, Computer Networking, Robotic, Computational Search and Optimization Methodologies, Evolutionary Computing, Machine Learning, Neural Networks, and Machine Vision.
EDUCATION
Shahid Chamran University of Ahvaz (Jundi Shapor), Iran
Master, Computer Engineering- Artificial Intelligence, Sep. 2013- Sep. 2016
 Thesis title: “Biometric Identification Based on Iris Images Using Image Processing Methods”
 Supervisor: Prof. Dr. Gholamreza Akbarizadeh
 GPA: B+
University of Science and Culture (Tehran), Iran
Bachelor, Computer Software Technology Engineering, Sep. 2008 - Feb. 2010
 GPA: B+
Islamic Azad University Dashtestan Branch (Borazjan), Iran
Continuous Associate Course, Computer Engineering, Sep. 2004 - Feb. 2007
 GPA: A
Shahid Movahedi Vocational School, Isfahan, Iran
Diploma Program, Computer
 GPA: A
WORK
EXPERIENCE
University of Applied Science Center, Isfahan, Iran
University Lecturer, Feb. 2017 – till now
Teaching advanced computer programming and network architecture courses
Carrefour Company, Isfahan Branch, Iran
Computer Receptionist, Nov. 2012 - Jul. 2013
Assisting the GM secretory about company management, answering the telephone calls, arranging manager meetings, etc.
Fararavesh Behravesh Computer and Accounting Educational Institute, Isfahan, Iran
Teacher, Oct. 2010 – Mar. 2012
Teaching computer networks (LAN), logical circuits, computer basics, and data structure lessons
Tara System Computer Company, Isfahan, Iran
Computer Engineer, Oct. 2008 - Oct. 2010
Repair computer hardware, assemble the computer pieces, software supporter
Private Teaching ( Computer networks, Logical circuits, Computer basics, Data structure)
HONORS
 Nominated best paper award in Amir Kabir University of Tehran in May 2016
 Nominater projects in the first match period in the fields of drones, gliders and robotic drones by Central Khatam Anbiya Air Defense Base in Isfahan
My Scholar Citations
Web Address:
CONFERENCE
PUBLICATIONS
(concealed information)
[1] Ahmadi N, Akbarizadeh G, “Iris Recognition Using Combined Morphological Operation and Hamming Distance Approach“. Sept. 2016.
JOURNAL
PUBLICATIONS [1] Ahmadi, N., & Nilashi, M. (2018). Iris Texture Recognition based on Multilevel 2-D Haar Wavelet Decomposition and Hamming Distance Approach. Journal of Soft Computing and Decision Support Systems, 5(3), 16-20. [2] Ahmadi, N., & Akbarizadeh, G. (2017). Hybrid robust iris recognition approach using iris image pre-processing, two-dimensional gabor features and multi-layer perceptron neural network/PSO. IET Biometrics. (ISI) [3] Neda, A., & Gholamreza, A. (2016). A Review of Iris Recognition Based on Biometric Technologies. Transylvanian Review, 24(4). (ISI) [4] Ahmadi, N., & Akbarizadeh, G. (2015). Iris Recognition System based on Canny and LoG Edge Detection Methods. Journal of Soft Computing and Decision Support Systems, 2(4), 26-30.
UNDER REVIEW PAPER
SELECTED
PROJECTS
 Iris Recognition based on GLDM Feature extraction and
MLPNN-ICA Classifiers
Design and Implementation, Spring 2017
[1] Iris Recognition System based on Canny and LoG Edge Detection Methods
Design and Implementation, Fall 2015
[2] A Review of Iris Recognition Based on Biometric Technologies
Design and Implementation, Spring 2016
[3] Iris Recognition Using Combined Morphological Operation and Hamming Distance Approach
Design and Implementation, Summer 2016
[4] A Hybrid Robust Iris Recognition Approach using 2D Gabor Features and MLPNN/PSO
Design and Implementation, Spring 2016
[5] Iris Recognition based on GLDM Feature extraction and
MLPNN-ICA Classifiers
Design and Implementation, Spring 2017 (Under Review)
[6] Iris Texture Recognition based on Multilevel 2-D Haar Wavelet Decomposition and Hamming Distance Approach
Design and Implementation, Winter 2017
TECHNICAL
SKILLS
 Programming Languages: Matlab, TCL/TK, SSH, AWK, VB.net, ASP.net, SQL Server, Oracle, SQL, XML, C, C++, C#.net, and Assembly
 Engineering Software : Network Simulator 2 (NS-2), Android Studio, Visual Studio
 Network: Infrastructure, Network Sub-netting (DHCP server), Packet Tracing, Network Monitoring.
 Management: Microsoft project management, agile modeling, data mining, WEKA, X-mind, free-mind
CORE
COMPETENCIES
 Typesetting and Office: MS Office, Access, Excel, Windows Installation and Partitioning, ICDL
 Other Software: AutoCAD, Photoshop
 Languages: Persian (Fluent), English (Advance), French (Elementary), Spanish (Elementary), Arabic ( Elementary)
 Organizational skills  Communication skills  Problem assessment and analysis  Decision-making  Delegation  Teamwork  Coaching  Conflict management  Adaptability  Stress tolerance

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