Computer Systems

Mohammad Alshibli

Assistant Professor 10 Months Email Whitman Hall, Room 112

Mohammad A. Alshibli, Ph.D.

 Email: alshibm@farmingdale.edu

 

 

Profile 

I am a senior digital leader and instructor with a strong base of business and teaching experience. My approach to teaching the digital tradecraft of machine learning, AI, and other computer sciences disciplines emphasizes student knowledge and professional readiness. Communication, collaboration, and innovation are core values for me – and I am ready to help students acquire skills that will prepare them for their careers and add tangible value to their degree.

 

Education

University of Bridgeport, Bridgeport, CT

Ph.D., Computer Science and Engineering in the field of AI, robotics, and industrial engineering

 

Dissertation title: Cognitive Robotic Disassembly Sequence for Electromechanical End-of-Life Products via Decision-Maker-Centered Heuristic Optimization Algorithm.

 

2012-2018

Al-Balqa'a Applied University, Al-Salt, Jordan,

M.S., Computer Science

 

2008-2010

Philadelphia University, Amman, Jordan,

B.S., Computer Science

2002-2006

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Research Areas  

  • Robotics
  • Wireless Sensor Networks
  • Artificial Intelligence
  • Image Processing
  • Cryptography
  • Machine Learning

 

 

 

Skills

Microsoft Technologies

ASP.Net 4.5/4.0/3.5/3.0/2.0/1.1, C#, VB.Net, Classic Active Server Pages (ASP),  ADO.Net, ADO, ASP, TFS

 

Web Technologies

HTML5, DHTML, XHTML, CSS3, XML, XSL, XSLT, XPath, COM/DCOM, SOAP, XAML, WCF, WPF, Web Services, CMS (DNN, Umbraco, Kentco, Drupal, Wordpress)

 

Programming Languages

C, C++, VB 6.0, VB.net, C#.net, Asp.Net. Python, React, React-Native Mobile Applications, JavaScript, VBScript, AJAX, JQuery

 

Database

SQL Server 2017/2016/2012/2008/2005/2000, Oracle 9i, MS Access, LINQ, SQLite

 

Modeling Tools

UML, MS Visio, Rational Rose

 

Version Control

Git, SourceTree, GitKraken, GitLab, Bitbucket

           

 

Presentations

Electronic Government Project, Ministry of Technology, Jordan, 2011. Focused on the use SQLite in encrypted database for citizen information in ATM cards.

 

NEDCI conference 2015 in Massachusetts, presenting Disassembly Sequence using TABU search.

Publications   

 

 

M. Alshibli, A. El Sayed, O. Tozanli, E. Kongar, T. M. Sobh, and S. M. Gupta, "A Decision Maker-Centered End-of-Life Product Recovery System for Robot Task Sequencing," Journal of Intelligent & Robotic Systems, pp. 1-14, 2017.

 

Alshibli, M., ElSayed, A., Kongar, E., Sobh, T. and Gupta, S.M., “Disassembly Sequencing Using Tabu Search”, Journal of Intelligent and Robotic Systems, DOI 10.1007/s10846-015-0289-9, October 2015.

 

Alshibli, Mohammad & ElSayed, Ahmed & Kongar, Elif & Sobh, Tarek & Gupta, Surendra. (2019). A Robust Robotic Disassembly Sequence Design Using Orthogonal Arrays and Task Allocation. Robotics. 8. 20. 10.3390/robotics8010020.

 

 

Academic Papers delivered at conferences

 

Alshibli, M., ElSayed, A., Kongar, E., Sobh, T. and Gupta, S.M., “Disassembly Sequencing Using Tabu Search”, 2015 Northeast Decision Sciences Conference (NEDSI), March 20-22, Cambridge, MA, 2015.

 

Elmannai, W., Elleithy, K., Shrestha, A., Alshibli, M., & Alattas, R. (2014, April). A new algorithm based on discrete fourier transform to improve the lifetime of underwater Wireless Sensor Networks communications. In American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the (pp. 1-5). IEEE.

 

       

 

 

Courses Taught

  • Introduction to Robotics
  • Computer Networks
  • Operating Systems
  • Database Systems
  • Programming Languages C/C++/C#/ Python/Matlab/Java/VB.NET
  • Artificial Intelligence
Last Modified 2/18/21