Mohammad Tamim Alkhodary, Curriculum Vita

 

 

PERSONAL INFORMATION

Mohammad Tamim Alkhodary

 

King Fahd University of Petroleum and Minerals, Electrical Engineering Department, Building 59, Room 2033.

      Dhahran, 31261

      Saudi Arabia 

 

 

Day of Birth      :    Nov 28, 1985 (31-year-old)

Marital Status   :    Single

Nationality        :    Syrian

 +966 59 897 6530

 

:    https://goo.gl/aJfq6q

 mtamim@kfupm.edu.sa

 

Image result for linkedin logo

linkedin.com/in/mohamd2020

Skype mohamd2020@hotmail.com  

 

 

 

WORK EXPERIENCE

 

 

Jan 2017 - Apr  2017

Visiting Scholar at Georgia Tech

 

Georgia Institute of Technology, Atlanta, US.

 

    Working on research project on “Sparse Seismic-Source Localization”.

 

 

Jan 2013 - May 2017

Lecturer

King Fahd University of Petroleum & Minerals (KFUPM), Dhahran (Saudi Arabia)

    Teaching laboratories of the following courses: Communication Engineering (EE 370), Electrical Circuit (EE 204), Electronics (EE 203).

 

Jan 2013 - May 2017

Coordinator for the international collaboration between KFUPM and Georgia Institute of Technology, Atlanta, US.

King Fahd University of Petroleum & Minerals (KFUPM), Dhahran (Saudi Arabia)

On 2013, KFUPM has initiated a collaboration with Georgia Institute of Technology (Georgia Tech). The collaboration includes joint research/educational projects, students exchange, and culture exchange. Since then, I was coordinating all activities between the two institutions.

 

Jan 2009 -  Nov 2012

Research Assistant

King Fahd University of Petroleum and Minerals (KFUPM), Dhahran (Saudi Arabia)

    Teaching technical laboratories like: Electrical Circuit (EE 204), Electronics (EE 203).

 

Jun 2012 – Aug 2012

Project Manager for Tinkering Studio

Saudi Aramco, Dhahran (Saudi Arabia)

Project manager for a cultural educational program on technological learning.

 

Jan 2013

Project Manager for Tinkering Studio

Mishkat, Riyadh (Saudi Arabia)

Project manager for establishing “Tinkering Studio: at part of the activities in Mishkat exhibition center in Riyadh.

 

EDUCATION AND TRAINING

 

 

Jan, 2013–May, 2017

PhD in Electrical Engineering

 

King Fahd University of Petroleum and Minerals, Dhahran (Saudi Arabia)

 

Jun, 2015– Jul, 2015

Jun, 2014– Sept, 2014

Visiting Research Student

King Abdullah University of Science and Technology (KAUST), Thoual (Saudi Arabia)

Six months visiting research student in KAUST working under supervision Prof. Tareq AlNaffouri, in signal processing group on ultra wideband communication.

 

Jan, 2009 - Nov, 2012

Master of Science in Telecommunication Engineering

 

King Fahd University of Petroleum and Minerals (KFUPM), Dhahran (Saudi Arabia)

Thesis title: Practical implementation of compressive sensing on ultra-wideband channel estimation. ​

 

 

Dec 2004 – Jul 2008

Bachelor of Science in Communication Engineering

 

University of science and Technology, Sana’a (Yemen)

 

Publications and Patents

 

 

Journal Publications

1.     Mohammad T. Alkhodary, Ali H. Muqaibel "Efficient grouping technique for low mutual-coherence basis-matrix in radar imaging", IET Electronics Letters, November, 2016.

2.     Ali H. Muqaibel, Abdi T. Abdalla, Mohammad T. Alkhodary, Saleh A. Alawsh, "Through-the-wall radar imaging exploiting Pythagorean apertures with sparse reconstruction", Digital Signal Processing, Available online 4 August 2016, ISSN 1051-2004, http://dx.doi.org/10.1016/j.dsp.2016.07.014

3.     A. H. Muqaibel, A. T. Abdalla, M. T. Alkhodary, S. I. Al-Dharrab, "Aspect Dependent Efficient Multipath Ghost Suppression in TWRI with Compressive Sensing", International Journal of Microwave and Wireless Technologies (Accepted).

4.     Muqaibel, A.H.; Mohammad T. Alkhodary, "Practical application of compressive sensing to ultra-wideband channels," Communications, IET , vol.6, no.16, pp.2534,2542, November 6 2012

5.     Mohammad T. Alkhodary, Ali H. Muqaibel "Low Complexity Sparse Bayesian Estimation for UWB Radar Imaging" IET Radar, Sonar & Navigation (Minor revision).

6.     Mohammad T. Alkhodary, Ali H. Muqaibel "Cooperative Bayesian estimation for compressed through wall radar imaging", to be submitted to IEEE Transactions on Geoscience and Remote Sensing.

7.     A. H. Muqaibel, A. T. Abdalla, and M. T. Alkhodary, “Indoor target localization using single marginal antenna with virtual radars support,” International Journal of Microwave and Wireless Technologies, pp. 1–8, 2017.

8.     Mohammad T. Alkhodary, Entao Liu, Abdullatif Al-Shuhail, Ali-Muqaibel, James McClellan, “Compressive Sensing Method for Microseismic-events Localization”, to be submitted to IEEE Geoscience and Remote Sensing Letters.

Conference Publications

9.     Mohammad T. Alkhodary; Salah Z. Hosny, Ali H. Muqaibel "Experimental Evaluation of UWB Indoor Radar Imaging", 2016 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE 2016).

10.   Saleh A. Alawsh; Mohammad T Alkhodary; Ali H Muqaibel, and Mohammad S. Sharawi "Experimental Evaluation of Coprime Sampler in Direction of Arrival Estimation". MECAP 2016 IEEE Middle East Conference on Antennas and Propagation, Beirut, Lebanon.

11.   Kousa, Maan A.; Muqaibel, Ali H.; Williams, Doug; Alkhodary, Mohammad T.; Mayyala, Qadri, "Developing Electrical Engineering Course in an Active Cooperative Learning (ACL) Platform", 19th International Conference on Interactive Collaborative Learning (ICL2016), Belfast, UK.

12.   Mohammad T. AlKhodary, Tarig Ballal, Tareq Y. Al-Naffouri "Low Sampling Technique for M-ary Multiple Access UWB Communication in Multipath Channel", to be submitted to ICUWB 2015

13.   Alkhodary, M.T.; Muqaibel, A.H., "Practical implementation of compressive sensing to UWB signals," Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on , vol., no., pp.1365,1370, 2-5 July 2012doi: 10.1109/ISSPA.2012.6310506

Patent

·          “Method for compressive sensing, reconstruction, and estimation pf ultra-wideband channels”,  Ali Hussain Muqaibel, Mohammad Tamim Alkhodary, docket number: 34000.20 Patent number: US 8804811

Manuals

1.     Computation and computer programs for electrical Engineers, with emphasis on MATLAB®. By: Dr. Ali Muqaibel and Mohammad Tamim Alkhodary.  

This manual is being taught in KFUPM for EE 206 students of electrical engineering department.

2.     Introduction to Robotics. By: Mohammad Tamim Alkhodary, Qadri Mayala, Dr. Muqaibel, and Dr. Maan Kousa.

It gives introduction to robotic programming and sensors using LabView, with application on EV3 Mindstorms robot.

 

Projects

 

 

 

Jan, 2014– Jan, 2015

Pilot Program for Active Cooperative Learning (ACL)

 

Involved people: Kousa, Maan A.; Muqaibel, Ali H.; Williams, Doug; Alkhodary, Mohammad T.; Mayyala, Qadri.

This is an educational project, aimed to design a multi-disciplinary electrical engineering curriculum based on ACL teaching techniques. The developed curriculum is now being taught for sophomore electrical engineering students in KFUPM. The course title is: Introduction to Electrical Engineering

Jan, 2011– Jan, 2012

Practical implementation of compressive sensing to UWB signals

 

Involved people: Muqaibel, Ali H. and Alkhodary, Mohammad T.

Funded by SABIC,

This projects design and implement compressive sensing algorithm to enhance the channel estimation of UWB technologies.

 

PERSONAL SKILLS

 

 

Mother tongue(s)

Arabic

Other language(s)

UNDERSTANDING

SPEAKING

WRITING

Listening

Reading

Spoken interaction

Spoken production

 

English

Advanced Level

Advanced Level

Advanced Level

Advanced Level

Advanced Level

 

 

Organisational / managerial skills

Since 2013, I've been working as a coordinator for the collaboration between KFUPM and Georgia Tech Institute of technology in US. During this period, I worked on establishing "Center for Energy and Geo Processing" at KFUPM. This gave me high organizational and managerial skills. The center consists of two research labs, meeting room, lounge, and my cubical.

Also, I organize weekly meeting between the researchers here in KFUPM and in Georgia Tech. This requires time-managements considering the schedule of the involved people and the 9-hours-time difference between KFUPM and Georgia Tech.

 

Research-related skills

    Expert in all Microsoft-office software package (ICDL certified)

    Python + Machine Learning/tensor flow package.

    Competent in CUDA and OpenMPI programming.

    Expert in Oriented Programming (OOP) Using MATLAB and C++ ·

    Expert in Digital Signal Processing using MATLAB and Simulink. ·

    Expert in Communication systems simulation design.

    Expert in Programming using C++, visual basic, Java, and others.

    Writing with Latex in reports and in presentations

Reference

 

 

PhD Advisor

Dr. Ali Muqaibel, Professor, King Fahd University of Petroleum & Minerals (KFUPM)

Email :muqaible@kfupm.edu.sa , Cellphone:+966 50 482 5615

PhD Co-Advisor

Dr. Tariq Al-Naffouri, Professor, King Abdullah University of Science and Technology

Email: tareq.alnaffouri@kaust.edu.sa, Cellophane: +966 54 470 0795 

EE Department Chairman

Dr. Ali Ahmad Al-Shaikhi, Professor, King Fahd University of Petroleum & Minerals (KFUPM)

Email: shaikhi@kfupm.edu.sa; Cellphone: +966 50 365 1875