World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
13005
World Ranking
3113
National Ranking
86

Mathematics

D-Index
59
Citations
12124
World Ranking
598
National Ranking
16

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Ruhul A. Sarker is affiliated with the University of New South Wales in Australia. Their research spans multiple fields, primarily focusing on Computer Science and Engineering. Within these domains, their work concentrates on several subfields including Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Industrial and Manufacturing Engineering, and Control and Systems Engineering.

Their research topics cover a range of areas related to optimization and algorithms, including:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Resource-Constrained Project Scheduling
  • Scheduling and Optimization Algorithms
  • Supply Chain and Inventory Management
  • Sustainable Supply Chain Management

Among their recent publications are:

  • "EvoDCNN: An evolutionary deep convolutional neural network for image classification", 2022, Neurocomputing
  • "Large-scale evolutionary optimization: A review and comparative study", 2024, Swarm and Evolutionary Computation
  • "2D to 3D Evolutionary Deep Convolutional Neural Networks for Medical Image Segmentation", 2020, IEEE Transactions on Medical Imaging
  • "Solving electric vehicle-drone routing problem using memetic algorithm", 2023, Swarm and Evolutionary Computation
  • "An evolutionary approach for resource constrained project scheduling with uncertain changes", 2020, Computers & Operations Research

The frequent coauthors working alongside Ruhul A. Sarker include:

  • Daryl Essam
  • Saber Elsayed
  • Carlos A. Coello Coello
  • Ali Ahrari
  • Kyle Robert Harrison

The venues where they publish frequently include:

  • IEEE Access
  • Swarm and Evolutionary Computation
  • Applied Soft Computing
  • IEEE Transactions on Evolutionary Computation
  • Computers & Industrial Engineering

Ruhul A. Sarker has also contributed to academia through book publications with Springer Nature, including:

  • "Supply Chain Risk and Disruption Management", 2023
  • "Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling", 2021

Best Publications

  • PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems

    H.A. Abbass;R. Sarker;C. Newton

  • A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization

    M. Asafuddoula;Tapabrata Ray;Ruhul Sarker

  • Differential Evolution With Dynamic Parameters Selection for Optimization Problems

    Ruhul A. Sarker;Saber M. Elsayed;Tapabrata Ray

  • THE PARETO DIFFERENTIAL EVOLUTION ALGORITHM

    Hussein A. Abbass;Ruhul A. Sarker

  • Data Mining: A Heuristic Approach

    Hussein Abbass;Charles Newton;Ruhul Sarker

  • A new genetic algorithm for solving optimization problems

    Saber M. Elsayed;Ruhul A. Sarker;Daryl L. Essam

  • Evolutionary Optimization

    Ruhul Sarker;Xin Yao

  • Optimization of maintenance and spare provisioning policy using simulation

    Ruhul Sarker;Amanul Haque

  • Multi-operator based evolutionary algorithms for solving constrained optimization problems

    Saber M. Elsayed;Ruhul A. Sarker;Daryl L. Essam

  • An improved evolutionary algorithm for solving multi-objective crop planning models

    Ruhul Sarker;Tapabrata Ray

  • Optimization Modelling: A Practical Approach

    Ruhul Amin Sarker;Charles S. Newton

  • An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems

    S. M. Elsayed;R. A. Sarker;D. L. Essam

  • Evolutionary Algorithms for Dynamic Economic Dispatch Problems

    M. F. Zaman;Saber M. Elsayed;Tapabrata Ray;Ruhul A. Sarker

  • Artificial Neural Networks in Finance and Manufacturing

    Joarder Kamruzzaman;Rezaul K. Begg;Ruhul Amin Sarker

  • Memetic algorithms for solving job-shop scheduling problems

    S. M. Kamrul Hasan;Ruhul A. Sarker;Daryl Essam;David Cornforth

  • Forecasting of currency exchange rates using ANN: a case study

    J. Kamruzzaman;R.A. Sarker

  • 2012 IEEE Congress on Evolutionary Computation

    Hussein Abbass;Daryl Essam;Ruhul Sarker

  • GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems

    Saber M. Elsayed;Ruhul A. Sarker;Daryl L. Essam

  • A recovery model for a two-echelon serial supply chain with consideration of transportation disruption

    H. Hishamuddin;R. A. Sarker;D. Essam

  • A new multiobjective evolutionary algorithm

    Ruhul A. Sarker;Ko-Hsin Liang;Charles S. Newton

  • A disruption recovery model for a single stage production-inventory system

    H. Hishamuddin;H. Hishamuddin;Ruhul A. Sarker;Daryl Essam

Frequent Co-Authors

Daryl Essam
Daryl Essam University of New South Wales
Saber M. Elsayed
Saber M. Elsayed University of New South Wales
Tapabrata Ray
Tapabrata Ray University of New South Wales
Hussein A. Abbass
Hussein A. Abbass University of New South Wales
Sanjoy Paul
Sanjoy Paul University of Technology Sydney
Ripon Kumar Chakrabortty
Ripon Kumar Chakrabortty University of New South Wales
Xin Yao
Xin Yao Lingnan University
Sami Kara
Sami Kara University of New South Wales
Mohammed Atiquzzaman
Mohammed Atiquzzaman University of Oklahoma

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, exploring related online degrees can broaden career opportunities and enhance skill sets. Many professionals pivot into complementary fields such as business, marketing, and data science to leverage their analytical expertise.

One popular route is enrolling in marketing graduate programs, which combine quantitative skills with strategic insights to optimize business campaigns and growth.

For those interested in leadership roles, cheapest 1 year online mba programs offer a fast-tracked path to develop management capabilities without compromising on affordability.

Additionally, online MBAs that accommodate prior learning are valuable. Programs listed here on online mba accepting transfer credits help students save time and money by recognizing previous coursework.

Lastly, the surge in big data careers makes data analytics masters programs a natural extension for math graduates seeking to specialize in interpreting complex datasets.

Each pathway leverages a strong mathematical foundation, providing graduates the tools to thrive in diverse industries such as finance, tech, healthcare, and beyond.

Best Scientists Citing Ruhul A. Sarker

Trending Scientists

Recently Published Articles