World's Best Scientists 2026 revealed!
Ivana Strumberger

Ivana Strumberger

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
34
Citations
3357
World Ranking
889
National Ranking
2

Computer Science

D-Index
36
Citations
4097
World Ranking
11402
National Ranking
6

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Ivana Strumberger is affiliated with Singidunum University in Serbia, focusing primarily on research in computer science and engineering. Their publication record features a significant concentration in artificial intelligence, computer networks and communications, computer vision and pattern recognition, information systems, and electrical and electronic engineering.

Their research topics include:

  • Metaheuristic Optimization Algorithms Research
  • Machine Learning and ELM
  • Network Security and Intrusion Detection
  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Stock Market Forecasting Methods

Among frequently publishing venues are:

  • 2021 29th Telecommunications Forum (TELFOR)
  • Mathematics
  • 2022 IEEE World Conference on Applied Intelligence and Computing (AIC)
  • Computer Systems Science and Engineering
  • Journal of Electronic Imaging

Strumberger has coauthored extensively with several collaborators, including:

  • Nebojša Bačanin
  • Miodrag Živković
  • Miloš Antonijević
  • K. Venkatachalam
  • Timea Bezdan

Recent papers highlight their research output and subject expertise. Notable works include:

  • COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach (2020) published in Sustainable Cities and Society
  • Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics (2020) published in Algorithms
  • Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks (2023) published in Information Sciences
  • Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm (2021) published in Journal of Intelligent & Fuzzy Systems
  • Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application (2022) published in Scientific Reports

The main scopes of Strumberger's work reflect a blend of machine learning, neural network applications, and optimization metaheuristics, often applied in contexts such as energy forecasting, scheduling in cloud computing, and pandemic case prediction. The integration of hybrid algorithms and swarm intelligence features prominently within their methodological approaches.

Best Publications

  • COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach

    Miodrag Zivkovic;Nebojsa Bacanin;K. Venkatachalam;Anand Nayyar

  • Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics

    Nebojsa Bacanin;Timea Bezdan;Eva Tuba;Ivana Strumberger

  • Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application

    Unknown

  • Performance of Elephant Herding Optimization and Tree Growth Algorithm Adapted for Node Localization in Wireless Sensor Networks.

    Ivana Strumberger;Miroslav Minovic;Milan Tuba;Nebojsa Bacanin

  • Wireless Sensor Networks Life Time Optimization Based on the Improved Firefly Algorithm.

    Miodrag Zivkovic;Nebojsa Bacanin;Eva Tuba;Ivana Strumberger

  • Task Scheduling in Cloud Computing Environment by Grey Wolf Optimizer

    Nebojsa Bacanin;Timea Bezdan;Eva Tuba;Ivana Strumberger

  • Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm

    Timea Bezdan;Miodrag Zivkovic;Nebojsa Bacanin;Ivana Strumberger

  • Enhanced Grey Wolf Algorithm for Energy Efficient Wireless Sensor Networks

    Miodrag Zivkovic;Nebojsa Bacanin;Tamara Zivkovic;Ivana Strumberger

  • Resource Scheduling in Cloud Computing Based on a Hybridized Whale Optimization Algorithm

    Ivana Strumberger;Nebojsa Bacanin;Milan Tuba;Eva Tuba

  • Hybrid Genetic Algorithm and Machine Learning Method for COVID-19 Cases Prediction

    Miodrag Zivkovic;Venkatachalam K;Nebojsa Bacanin;Aleksandar Djordjevic

  • Glioma Brain Tumor Grade Classification from MRI Using Convolutional Neural Networks Designed by Modified FA

    Timea Bezdan;Miodrag Zivkovic;Eva Tuba;Ivana Strumberger

  • Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm

    Unknown

  • Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering

    Unknown

  • Designing Convolutional Neural Network Architecture by the Firefly Algorithm

    Ivana Strumberger;Eva Tuba;Nebojsa Bacanin;Miodrag Zivkovic

  • Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting

    Unknown

  • Static drone placement by elephant herding optimization algorithm

    Ivana Strumberger;Nebojsa Bacanin;Slavisa Tomic;Marko Beko

  • Whale Optimization Algorithm with Exploratory Move for Wireless Sensor Networks Localization

    Nebojsa Bacanin;Eva Tuba;Miodrag Zivkovic;Ivana Strumberger

  • Multi-objective Task Scheduling in Cloud Computing Environment by Hybridized Bat Algorithm

    Timea Bezdan;Miodrag Zivkovic;Eva Tuba;Ivana Strumberger

  • Optimizing Convolutional Neural Network by Hybridized Elephant Herding Optimization Algorithm for Magnetic Resonance Image Classification of Glioma Brain Tumor Grade

    Timea Bezdan;Stefan Milosevic;Venkatachalam K;Miodrag Zivkovic

  • Classification and Feature Selection Method for Medical Datasets by Brain Storm Optimization Algorithm and Support Vector Machine

    Eva Tuba;Ivana Strumberger;Timea Bezdan;Nebojsa Bacanin

  • Monarch Butterfly Optimization Based Convolutional Neural Network Design

    Nebojsa Bacanin;Timea Bezdan;Eva Tuba;Ivana Strumberger

  • Improved Harris Hawks Optimization Algorithm for Workflow Scheduling Challenge in Cloud–Edge Environment

    Miodrag Zivkovic;Timea Bezdan;Ivana Strumberger;Nebojsa Bacanin

  • Feature Selection by Firefly Algorithm with Improved Initialization Strategy

    Timea Bezdan;Dusan Cvetnic;Luka Gajic;Miodrag Zivkovic

  • Mobile Robot Path Planning by Improved Brain Storm Optimization Algorithm

    Eva Tuba;Ivana Strumberger;Dejan Zivkovic;Nebojsa Bacanin

Frequent Co-Authors

Nebojsa Bacanin
Nebojsa Bacanin Singidunum University
Milan Tuba
Milan Tuba Singidunum University
Eva Tuba
Eva Tuba Singidunum University
Fadi Al-Turjman
Fadi Al-Turjman Near East University
Tarik A. Rashid
Tarik A. Rashid University of Kurdistan Hewler
Anand Nayyar
Anand Nayyar Duy Tan University

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