Abedl-Rahman Abdul-Karim Al-Modawar

12/25/2020

 

-       Address:  Jordan- Irbid.

-       DOB: 15 Aug -1988.

-       Marital Status: Married

-       Cell NO.  +962786157902

-       Personal e-mail: abdcs.1988@gmail.com

-       Current job e-mail: aaalmodawar@just.edu.jo

-       My official Web site on JUST: https://www.just.edu.jo/eportfolio/Pages/Default.aspx?email=aaalmodawar

-      Google Scholar

-      Research Gate

 

 

 

 

Education

 

Jordan University of Science and Technology

2011 - 2013

·        M.Sc. in Computer Science.

o   Thesis Title: Adaptive Localization Scheme in Wireless Sensor Networks

o   Graduated with A grade (93.2/100).

 

 

 

Al-Balqa Applied University 

2006 – 2010

·        B.Sc. in Computer Science.

o   Graduated with B grade (3.53/4.0)

 

 

Irbid High School

2005 – 2006

·        Science Section.

o   Graduated with (83.3/100)

 

 

 

 

 

 

 

experienceS

 

Full-time lecturer |JUST– Jordan University of Science and Technology

May 2014 - present

·        Instruct and lecture the following computer courses in the computer science department:

o   INTRODUCTION TO PROGRAMMING – CS101

o   PROGRAMMING LAB – CS102

o   PROGRAMMING FOR ENGINEERS – CS114

o   PROGRAMMING FOR ENGINEERS (LAB) – CS114 Lab

o   C++ PROGRAMMING LANGUAGE – CS115

o   SELECTED PROGRAMMING LANGUAGES (FOR NON COMPUTER SCIENCE INFORMATION STUDENTS) – CS116

o   LINEAR ALGEBRA – CS181

o   ANALYSIS AND DESIGN OF ALGORITHMS – CS248

o   COMPUTER NETWORKS – CS342

o   OPERATING SYSTEMS – CS375

o   INFORMATION RETRIEVAL SYSTEMS – CS422

o   WIRELESS NETWORKS – CS442

o   BUSINESS DATA COMMUNICATION – CIS441

o   GRADUATION PROJECT 1 FOR COMPUTER SCIENCE STUDENTS – CS491

o   GRADUATION PROJECT 2 FOR COMPUTER SCIENCE STUDENTS – CS492

 

 

 

 

Part-time lecturer |JUST– Jordan University of Science and Technology

September 2013 – May 2014

·        Instruct and lecture the following computer courses in the computer science department:

o   PROGRAMMING LAB - CS102

o   C++ PROGRAMMING LANGUAGE - CS115

 

 

 

 

 

 

 

 

 

Teaching assistant |JUST– Jordan University of Science and Technology

September 2012 – May 2013

·         I worked as a teacher assistant in C++ programming labs (CS102), correcting in-lab quizzes and post-lab assignments in addition to correcting VB programming (CS116) post-lab assignments.  

 

Research assistant |JUST– Jordan University of Science and Technology

February 2012 – July 2012

·         I worked on the performance and energy analysis of Routing Protocols in stationary Wireless Sensor Networks. Intensive Experiments were conducted aimed at comparing all available routing protocols in QualNet 5.2 simulator tool in sparsely and densely connected networks with different number of sources and different traffic load.

 

Part-time and full-time lecturer |Granada Intermediate University College

November 2010 – May 2014

·        Instruct and lecture the following courses in the computer and networks department:

o   C++ programming

o   VB programming

o   Web Design

o   System Analysis

o   Data Base Management Systems

o   Oracle: SQL and DBA

o   Operating systems

o   Networks: Data transfer and communication

o   Computer Skills

o   Networks: Set Up and Connecting Local Area Networks 

o   Graduation Projects for IT students

o   Unix Operating System

 

 

 

 

 

Trainee employee |AJIB – Arab Jordan Investment Bank

September 2010 – November 2010

·         I worked three months as a data base administrator assistant in addition to working on the bank workflow in the computer department.

 

 

 

PUBLICATIONS

 

·         Almodawar, Abdalrhman; Al-Ayyoub, Mahmoud; Mohammad, S; Security-aware placement and migration algorithm in iaas inter-clouds, The fourth international conference on information and communication systems (ICICS 2013),2013,

·         Hmeidi, Ismail; Al-Ayyoub, Mahmoud; Abdulla, Nawaf; Almodawar, Abdalrahman; Abooraig, Raddad; Mahyoub, Nizar; Automatic Arabic text categorization: A comprehensive comparative study, Journal of Information Science,0165551514558172,2014, SAGE Publications.

·         Hmeidi, Ismail; Shehadeh, Hisham; Almodawar, Abdalrhman; Daraghmeh, Mustafa; Comprehensive Study on Information Retrieval: Arabic Document Indexing, Research Journal of Science and Technology,6,2,79,2014, A&V Publications

·         Mardini, Wail; Khamayseh, Yaser; Almodawar, Abdalrhman; Elmallah, Ehab; Adaptive RSSI-based localization scheme for wireless sensor networks, Peer-to-Peer Networking and Applications,1-14,2015, Springer

·         Halima, Nadhir Ben; Khamayseh, Yaser; Mardini, Wail; Almodawar, Abedl Rahman; Empirical Experiments for Sensors' Distance Estimation in Smart Places, Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference

·         Al-Badarneh, Amer; Najadat, Hassan; Abdulla, Nawaf; Almodawar, Abdalrhman ; Mohsen, Ghassan; A Survey of Indexing Schemes in Cloud Data Management,"7th International Conference on Computer Science and Information Technology (CSIT 2016), At Jordan",,,,2016,

 

 

 

 

 

 

 

 

Master Thesis

·  Title: Adaptive localization scheme for Wireless Sensor Networks

·  Supervisors: Dr. Wail Mardini and Dr. Yaser Khamyseh

·  Abstract:

Wireless Sensor Networks (WSNs) is a set of distributed sensor nodes communicating wirelessly, passing data to a Base Station(s) for further processing. There have been many applications, WSNs involved in. Recently, there are many short-range applications characterized with two main features: limited resources and low data rate, and recognized by the IEEE standard group 802.15.4. Such applications, those concerned with Energy-Aware Wireless Positioning Systems. One of the main aspects of WSNs situation awareness is node positioning. Localization deals with determining a target node's position in WSN by analyzing signals exchanged between nodes. One of the most important communication characteristic in this context is Received Signal Strength Indicator (RSSI). Received Signal Strength Indicator represents the ratio between received signal power and a reference power, used to estimate the distance between transmitting and receiving nodes. RSSI affected by many influencing factors that make utilizing RSSI in estimating distances inaccurate.

This thesis aims to enhance the accuracy of localization technique in ZigBee networks using an adaptive mechanism concerned with studying the communication channel status between any two nodes. We studied the RSSI behavior considering influencing factors. In addition, error models of distance estimation based on RSSI have been discussed. Real test-bed experiments were conducted to locate nodes in outdoor and indoor environments using Zigbee sensor nodes. In addition, simulation experiments using QualNet 5.2 simulator have been made, aimed at making precise quantification for the effect of noise factor on the accuracy of positioning process. Actually, as the network nodes exposed with high noise levels, position estimation accuracy will get worse, which makes the problem more challenging. As a novel solution, an adaptive localization scheme has been proposed; Two-State Markov Model with Moving Average has been employed to detect any unpredictable RSSI readings that may reflect a bad indication of real distance between any two communicating sensor nodes. By comparing the accuracy of RSSI-Based localization scheme without utilizing the proposed scheme, an average distance estimation error of 113 meters has been reported for a noise percentage = 40% within a 20 m X 20 m network. For the same network, utilizing Markov model gave us as an average distance estimation of 3 meters a worst case.

 

 

 

 

Projects worked on

 

·  Medical Image Processing; diagnosing heart failure 2017

ό  Diagnosing abnormal Cardiac (heart) size through CTR (cardio-thoracic ratio) analysis using machine learning approach.

·  Data Mining and Sentiment Analysis for social media; Classification, Quantification and Correlation studies 2016, 2017

ό  Five-points scale English Tweets/Reviews Quantification

ό  Five-points scale Arabic Tweets/Reviews Quantification

ό  Exploring Mode-Weather correlation for Arabic Tweeters / Reviews.