2026 Hossam M. Zawbaa: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	34	12172	11817	12	12	66	5014

Overview

Hossam M. Zawbaa is affiliated with Technological University Dublin in Ireland. Their research spans across engineering and computer science, with a particular focus on electrical and electronic engineering, control and systems engineering, and artificial intelligence.

The primary fields of study for this researcher include:

Engineering
Computer Science

The subfields of study include:

Electrical and Electronic Engineering
Control and Systems Engineering
Artificial Intelligence
Energy Engineering and Power Technology
Economics and Econometrics

Key research topics covered in their work are:

Microgrid Control and Optimization
Optimal Power Flow Distribution
Smart Grid Energy Management
Electric Power System Optimization
Hybrid Renewable Energy Systems
Energy and Environment Impacts
Energy, Environment, Economic Growth

Hossam M. Zawbaa has contributed to numerous research publications. Frequent venues for their papers include:

Energy Reports
IEEE Access
Ain Shams Engineering Journal
Heliyon
Soft Computing

Recent research papers include:

The dynamic impact of biomass and natural resources on ecological footprint in BRICS economies: A quantile regression evidence (2022, Energy Reports)
Residential Demand Side Management model, optimization and future perspective: A review (2022, Energy Reports)
Demand side management of electric vehicles in smart grids: A survey on strategies, challenges, modeling, and optimization (2022, Energy Reports)
An improved wild horse optimization algorithm for reliability based optimal DG planning of radial distribution networks (2021, Energy Reports)
Modeling and sensitivity analysis of grid-connected hybrid green microgrid system (2022, Ain Shams Engineering Journal)

The researcher has collaborated frequently with several co-authors, including:

Salah Kamel
Mohit Bajaj
Ali Wagdy Mohamed
Tomiwa Sunday Adebayo
Ephraim Bonah Agyekum

Best Publications

Binary grey wolf optimization approaches for feature selection

E. Emary;Hossam M. Zawbaa;Aboul Ella Hassanien

1402
Citations
Binary ant lion approaches for feature selection

E. Emary;Hossam M. Zawbaa;Aboul Ella Hassanien

501
Citations
Feature Subset Selection Approach by Gray-Wolf Optimization

Eid Emary;Hossam M. Zawbaa;Hossam M. Zawbaa;Crina Grosan;Abul Ella Hassenian

223
Citations
Experienced Gray Wolf Optimization Through Reinforcement Learning and Neural Networks

E. Emary;Hossam M. Zawbaa;Crina Grosan

221
Citations
Feature Selection via Chaotic Antlion Optimization.

Hossam M. Zawbaa;Hossam M. Zawbaa;E. Emary;E. Emary;Crina Grosan;Crina Grosan

179
Citations
Large-dimensionality small-instance set feature selection: a hybrid bio-inspired heuristic approach

Hossam M. Zawbaa;Hossam M. Zawbaa;Eid Emary;Eid Emary;Crina Grosan;Crina Grosan;Václav Snášel

144
Citations
Sine cosine optimization algorithm for feature selection

Ahmed Ibrahem Hafez;Hossam M. Zawbaa;E. Emary;Aboul Ella Hassanien

140
Citations
Feature selection approach based on whale optimization algorithm

Marwa Sharawi;Hossam M. Zawbaa;E. Emary

123
Citations
ArSLAT: Arabic Sign Language Alphabets Translator

Nashwa El-Bendary;Hossam M. Zawbaa;Mahmoud S. Daoud;Aboul Ella Hassanien

122
Citations
Automatic fruit classification using random forest algorithm

Hossam M. Zawbaa;Maryam Hazman;Mona Abbass;Aboul Ella Hassanien

117
Citations
Feature selection approach based on moth-flame optimization algorithm

Hossam M. Zawbaa;E. Emary;B. Parv;Marwa Sharawi

109
Citations
Firefly Optimization Algorithm for Feature Selection

E. Emary;Hossam M. Zawbaa;Kareem Kamal A. Ghany;Aboul Ella Hassanien

108
Citations
Feature selection based on antlion optimization algorithm

Hossam M. Zawbaa;E. Emary;B. Parv

95
Citations
Feature selection via Lèvy Antlion optimization

Eid Emary;Hossam M. Zawbaa;Hossam M. Zawbaa

75
Citations
RoadMonitor: An Intelligent Road Surface Condition Monitoring System

Adham Mohamed;Mohamed Mostafa M. Fouad;Esraa Elhariri;Nashwa El-Bendary;Nashwa El-Bendary

74
Citations
Impact of Chaos Functions on Modern Swarm Optimizers.

E. Emary;E. Emary;Hossam M. Zawbaa;Hossam M. Zawbaa

71
Citations
Automatic Nile Tilapia fish classification approach using machine learning techniques

Mohamed Mostafa M. Fouad;Hossam M. Zawbaa;Nashwa El-Bendary;Aboul Ella Hassanien

66
Citations
Impact of Lèvy flight on modern meta-heuristic optimizers

Eid Emary;Eid Emary;Hossam M. Zawbaa;Hossam M. Zawbaa;Marwa Sharawi

61
Citations
An innovative approach for feature selection based on chicken swarm optimization

Ahmed Ibrahem Hafez;Hossam M. Zawbaa;E. Emary;Hamdi A. Mahmoud

57
Citations
Retinal blood vessel segmentation using bee colony optimisation and pattern search

Eid Emary;Hossam M. Zawbaa;Aboul Ella Hassanien;Gerald Schaefer

56
Citations
Retinal blood vessel localization approach based on bee colony swarm optimization, fuzzy c-means and pattern search

Aboul Ella Hassanien;E. Emary;Hossam M. Zawbaa

46
Citations
A robust cattle identification scheme using muzzle print images

Ali Ismail Awad;Hossam M. Zawbaa;Hamdi A. Mahmoud;Eman Hany Hassan Abdel Nabi

30
Citations

Frequent Co-Authors

Aboul Ella Hassanien Cairo University

Crina Grosan King's College London

Vaclav Snasel VSB – Technical University of Ostrava

Tai-hoon Kim Beijing Jiaotong University

Gerald Schaefer Loughborough University

Ajith Abraham Sai University

Alaa Tharwat Frankfurt University of Applied Sciences

Ching Y. Suen Concordia University

External Links

Personal website of Hossam M. Zawbaa

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring flexible learning options in Computer Science can open up diverse career opportunities. Many students start with 1 year associate degree programs online, which are ideal for quickly gaining foundational skills and entering the tech workforce.

When looking for advancement, consider pursuing the best masters degree to get in technology fields. These advanced degrees can lead to highly specialized roles and help boost earning potential.

Cost and academic requirements are important to consider. Fortunately, there are cheap online degrees fast that make quality education more accessible for students on a budget. Additionally, finding online colleges that accept low gpa can help those who may not have strong academic backgrounds but still want to pursue a rewarding career in tech.

With online degrees, you can create your own path in Computer Science—regardless of your starting point, budget, or previous academic performance.