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2025

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Rising Stars

D-Index
34
Citations
6737
World Ranking
866
National Ranking
29

Computer Science

D-Index
34
Citations
7642
World Ranking
11953
National Ranking
590

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Alaa Tharwat is affiliated with Frankfurt University of Applied Sciences in Germany and conducts research primarily in the field of Computer Science, with a focus on Artificial Intelligence and related subfields. Their work spans several specialized areas within computer science including computational theory, mathematics, astronomy, computer vision, and sociology.

The researcher has explored multiple topics related to machine learning and algorithms, data classification, and optimization techniques. Key topics of their publications include:

  • Machine Learning and Algorithms
  • Machine Learning and Data Classification
  • Imbalanced Data Classification Techniques
  • Text and Document Classification Technologies
  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications

Alaa Tharwat's recent papers cover areas such as active learning, optimization algorithms, and data imbalance challenges. Notable publications include:

  • "A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions" (2023) published in Mathematics
  • "A conceptual and practical comparison of PSO-style optimization algorithms" (2020) published in Expert Systems with Applications
  • "Balancing Exploration and Exploitation: A novel active learner for imbalanced data" (2020) published in Knowledge-Based Systems
  • "Rough sets and social ski-driver optimization for drug toxicity analysis" (2020) published in Computer Methods and Programs in Biomedicine
  • "A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data" (2022) published in Mathematics

Their frequent collaborators include Wolfram Schenck, Ashraf Darwish, Aboul Ella Hassanien, and Medhat M. Farghaly. The researcher's contributions have been published in various venues with multiple works in Mathematics, as well as in Expert Systems with Applications, Knowledge-Based Systems, Computer Methods and Programs in Biomedicine, and arXiv.

This body of work highlights a consistent focus on algorithmic development in artificial intelligence and machine learning, tackling challenges such as imbalanced datasets and optimization problems. Their research outputs contribute to both theoretical advancements and practical applications within computational sciences.

Best Publications

  • Classification assessment methods

    Alaa Tharwat

  • Linear discriminant analysis: A detailed tutorial

    Alaa Tharwat;Alaa Tharwat;Tarek Gaber;Abdelhameed Ibrahim;Aboul Ella Hassanien

  • Linear vs. quadratic discriminant analysis classifier: a tutorial

    Alaa Tharwat

  • Bezier Curve Based Path Planning in a Dynamic Field using Modified Genetic Algorithm

    Mohamed Elhoseny;Mohamed Elhoseny;Alaa Tharwat;Alaa Tharwat;Aboul Ella Hassanien

  • Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection

    Gehad Ismail Sayed;Alaa Tharwat;Alaa Tharwat;Aboul Ella Hassanien

  • Principal component analysis - a tutorial

    Alaa Tharwat

  • Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm

    Alaa Tharwat;Alaa Tharwat;Mohamed Elhoseny;Mohamed Elhoseny;Aboul Ella Hassanien;Thomas Gabel

  • Independent component analysis: An introduction

    Alaa Tharwat

  • Parameter investigation of support vector machine classifier with kernel functions

    Alaa Tharwat

  • A BA-based algorithm for parameter optimization of Support Vector Machine

    Alaa Tharwat;Aboul Ella Hassanien;Basem E. Elnaghi

  • K -Coverage Model Based on Genetic Algorithm to Extend WSN Lifetime

    Mohamed Elhoseny;Alaa Tharwat;Ahmed Farouk;Aboul Ella Hassanien

  • Optimizing K-coverage of mobile WSNs

    Mohamed Elhoseny;Alaa Tharwat;Xiaohui Yuan;Aboul Ella Hassanien

  • A conceptual and practical comparison of PSO-style optimization algorithms

    Unknown

  • Recognizing human activity in mobile crowdsensing environment using optimized k-NN algorithm

    Alaa Tharwat;Alaa Tharwat;Hani Mahdi;Mohamed Elhoseny;Mohamed Elhoseny;Aboul Ella Hassanien

  • A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions

    Unknown

  • Biometric cattle identification approach based on Weber's Local Descriptor and AdaBoost classifier

    Tarek Gaber;Alaa Tharwat;Aboul Ella Hassanien;Vaclav Snasel

  • Parameters optimization of support vector machines for imbalanced data using social ski driver algorithm

    Alaa Tharwat;Thomas Gabel

  • MOGOA algorithm for constrained and unconstrained multi-objective optimization problems

    Alaa Tharwat;Alaa Tharwat;Essam H. Houssein;Mohammed M. Ahmed;Aboul Ella Hassanien

  • Chaotic antlion algorithm for parameter optimization of support vector machine

    Alaa Tharwat;Aboul Ella Hassanien

  • SIFT-Based Arabic Sign Language Recognition System

    Alaa Tharwat;Tarek Gaber;Aboul Ella Hassanien;Mohamed K. Shahin

  • Moth-flame optimization for training Multi-Layer Perceptrons

    Waleed Yamany;Mohammed Fawzy;Alaa Tharwat;Aboul Ella Hassanien

  • Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines

    Alaa Tharwat;Yasmine S. Moemen;Aboul Ella Hassanien

Frequent Co-Authors

Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Mohamed Elhoseny
Mohamed Elhoseny University of Sharjah
Vaclav Snasel
Vaclav Snasel VSB – Technical University of Ostrava
Gerald Schaefer
Gerald Schaefer Loughborough University
Jeng-Shyang Pan
Jeng-Shyang Pan Shandong University of Science and Technology
Nilanjan Dey
Nilanjan Dey Techno International New Town
Tai-hoon Kim
Tai-hoon Kim Beijing Jiaotong University
Essam H. Houssein
Essam H. Houssein Minia University
Hossam M. Zawbaa
Hossam M. Zawbaa Beni-Suef University

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