Profile Details

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Hire Dr. Shadi A.

Palestine

USD 35 /hr

Data Scientist and Data Analysis Expert

Profile Summary

Shadi Abudalfa received the BSc and MSc degrees both in Computer Engineering from the Islamic University of Gaza (IUG), Palestine in 2003 and 2010 respectively. He completed his PhD program in Computer Science and Engineering at King Fahd University of Petroleum & Minerals (KFUPM), Kingdom of Saudi Arabia in 2018. Abudalfa has a strong teaching and research experience. He is an Assistant Professor at the University Collage of Applied Sciences (UCAS), Palestine. From July 2003 to August 2004, he worked as a research assistant at Projects and Research Lab in IUG. During same period, he also worked as a teaching assistant at Faculty of Engineering in IUG. Abudalfa has served as reviewer in numerous international conferences and journals. He is a member of IEEE and his current research interests include artificial intelligence, data mining, activity recognition, machine learning, and sentiment analysis.

Subject Matter Expertise

• ★ Data Science
• ★ Machine Learning
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Data Processing
• ☆ Data Mining
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Computer Vision
• ☆ Python
• ☆ Research

Services

• Writing
• Data & AI

Writing Technical Writing

Data & AI Statistical Analysis, Algorithm Design-Non ML, Data Visualization

Work Experience

Assistant Professor (Full Time)

University College of Applied Sciences

August 2019 - Present

Assistant Professor (Part Time Job)

The Islamic University of Gaza (IUG)

September 2019 - January 2020

Lecturer (Full Time Job)

University College of Applied Sciences

September 2010 - August 2019

Teaching Assistant (Full Time Job)

University College of Applied Sciences

February 2005 - August 2010

Teaching Assistant (Part Time Job)

The Islamic University of Gaza (IUG)

April 2004 - August 2004

Research Assistant (Part Time Job)

The Projects and Research Lab (PRL) at Islamic University of Gaza (IUG)

July 2003 - August 2004

Education

Ph.D. in Computer Science and Engineering

King Fahd University of Petroleum & Minerals

September 2013 - May 2018

MSc in Computer Engineering

Islamic University of Gaza

September 2007 - September 2010

BSc in Computer Engineering

Islamic University of Gaza

September 1998 - June 2003

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

(2019). Semi-Supervised Target-Dependent Sentiment Classification for Micro-Blogs . Journal of Computer Science and Technology.

(2019). Evaluation of Semi-Supervised Clustering and Feature Selection for Human Activity Recognition . International Journal of Computing and Digital Systems.

(2019). Comparative Study on Behavior-Based Dynamic Branch Prediction using Machine Learning . International Journal of Computing and Digital Systems.

(2018). Comparative Study on Efficiency of Using Supervised Learning Techniques for Target-Dependent Sentiment Polarity Classification in Social Media . International Journal of Computing and Digital Systemss.

(2018). Open Domain Targeted Sentiment Classification Using Semi-Supervised Dynamic Generation of Feature Attributes .

(2017). QoS Adaptation for Publish/Subscribe Middleware in Real-Time Dynamic Environments.

(2013). SECURE COLLABORATIVE PROCESSING ARCHITECTURE FOR MITB ATTACK DETECTION.

(2013). A dynamic linkage clustering using KD-tree.

(2013). Enhancement the Security of AES Against Modern Attacks by Using Variable Key Block Cipher.

(2013). K-means algorithm with a novel distance measure.

(2011). Adaptive Mobility Management Scheme for Mobile IP using Ad Hoc Networks.

CONFERENCE PAPER

(2019). Open Domain Context-Based Targeted Sentiment Analysis System . 2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE).

(2018). Deep Learning for Target-Dependent Sentiment Classification in Social Media . Smart Cities Symposium 2018.

(2017). Survey on Target Dependent Sentiment Analysis of Micro-Blogs in Social Media . 2017 9th IEEE-GCC Conference and Exhibition (GCCCE).