Motasem Al Smadi

Academic Degree: PhD

Supervisor Type: Co-supervisor

Supervisor State: Graduated

Multi-objectivization Evolutionary Approach for Ab Initio Protein Prediction

Qusay M. Alzubi

Academic Degree: PhD

Supervisor Type: Co-supervisor

Supervisor State: Graduated

Hybridizing Binary Grey Wolf Optimization with Particles Swarm Optimization Based intrusion Detection System

Taief A. Hamdi

Academic Degree: Master

Supervisor Type: Co-supervisor

Supervisor State: Graduated

Enhanced Grey Wolf Algorithm as Feature Selection Mechanism to Improve the Accuracy of Intrusion Detection System

Ahmad Mohd Aziz Hussein

Academic Degree: PhD

Supervisor Type: Co-supervisor

Supervisor State: Graduated

Hybridizing an improved flower pollination algorithm with the profile technique and genetic algorithm for multiple sequence alignment

PhD

PhD at School of Computer Sciences, Universiti Sains Malaysia

Master

MSc at School of Arts and Sciences, Universiti Utara Malaysia

Bachelor

Bachelor of Science from College of Computer Sciences and Mathematics/ Mosul University

Northern technical University, Technical Engineering College for Computer and AI / Mosul, Department of Cyber Security and Cloud Computing Techniques Engineering, [Assistant Dean for Scientific and Student Affairs]

Leading, Monitoring, Research engagements, Supervision

Northern technical University, Technical Engineering College for Computer and AI / Mosul, Department of Cyber Security and Cloud Computing Techniques Engineering, [Lecturer]

Teaching Introduction to Programing, OOP, Linux administration, writing
research papers, performing workshops and seminars for faculty
members.

Nineveh University, Faculty of Information Technology (IT), software department, visitor lecture. [visitor lecture.]

Teaching data Structure in python, files processing.

Universiti Sains Malaysia, National Advance IPv6 Center, Teaching Fellow [Teaching Fellow]

Teaching Internet Governance, Internet of Things for postgraduate master’s degree student; Supervisor Assistant for 4 PhD students and 1 master student.

Universiti Sains Malaysia, School of Computer Sciences, [Graduate Research Assistant]

Research, Experimental Tests, Evaluation and Writing Research Reports
for the project” MEMBRANE COMPUTING BASED MODELS FOR IMAGE
ANALYSIS (1001/PKOMP/811290)”.

Universiti Sains Malaysia, School of Computer Sciences, Graduate Research Assistant [Graduate Research Assistant]

Research, Experimental Tests, Evaluation and Publishing papers for
project: “Protein 3D Structure Prediction Using Hybrid Artificial Bee
Colony Algorithm.

Universiti Sains Malaysia, School of Computer Sciences, Graduate Research Assistant [Graduate Research Assistant]

Research, Experimental Tests, Evaluation and Writing Research Papers
for:
“BIO-INSPIRED OPTIMIZATION METHOD FOR FEATURE SELECTION OF MASS
SPECTOMETERY ANALYSIS IN BIOMARKER IDENTIFICATION OF OVARIAN
CANCER (203/PKOMP/6711268)”.

Universiti Utara Malaysia, School of Computing, Research Assistant [Research Assistant]

Research, Experimental Tests and Evaluation for:
Manpower Planning Optimization Using Artificial Bee Colony Algorithm.
A Swarm Intelligence Algorithm to Price Options.
Optimization Algorithm for Data Grids.

Universiti Utara Malaysia, School of Computing, Research Assistant [Research Assistant]

Developing Analysis Applications, Writing Reports for Research
Purposes.

ANGLE BASED PROTEIN TERTIARY STRUCTURE PREDICTION USING BEES OPTIMIZATION ALGORITHM

The expand development in the area of scientific researches, especially on biological field, leads to the emergence and discovery of many new chemical compounds. Proteins are one of the hot topics and main concern among the biological subjects for the researchers; due to its complexity, diversity and it participate in each biological structure. In order to perform their function they tend to fold into their tertiary structure. There are two main ways to determine their structure, one is by laboratory experiment which is very expensive and time subsuming, and the second is by computation. In computation way the operation is known as optimization problem and the optimum solution is to find the conformation with the lowest free energy. In this project, angles based control with Bees Optimization search algorithm were adopted to search with guidance the protein conformational space in order to find the optimum solution. The experiment was conducted on short sequence protein (Met-enkephaline) which has been used in previous researches. The prototype system was built using Visual C# 2008 to fulfill the protein 3D structure prediction requirements. WEKA program application was used for main chain angles (Phi and Psi) data classification. The experiment shows a good accuracy in term of prediction and lowest free energy identification.

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