World's Best Scientists 2026 revealed!
Nebojsa Bacanin

Nebojsa Bacanin

Award Badge
Computer Science
Serbia
2026

D-Index & Metrics

Computer Science

D-Index
62
Citations
12069
World Ranking
2961
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Serbia Leader Award
  • 2025 - Research.com Computer Science in Serbia Leader Award

Overview

Nebojsa Bacanin is affiliated with Singidunum University in Serbia and has contributed extensively to research in computer science and engineering. Their work spans a variety of specialized subfields, including artificial intelligence, information systems, computer networks and communications, electrical and electronic engineering, and computer vision and pattern recognition.

The scientist's research interests focus on several main topics, notably metaheuristic optimization algorithms, energy load and power forecasting, network security and intrusion detection, anomaly detection techniques and applications, machine learning and extreme learning machines, IoT and edge/fog computing, as well as spam and phishing detection.

Nebojsa Bacanin has authored and co-authored multiple scientific papers, including:

  • Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization (2021, Mathematics)
  • Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics (2020, Algorithms)

Frequently collaborating with other researchers, their most common co-authors include Miodrag Živković, Luka Jovanović, Miloš Antonijević, Ivana Strumberger, and K. Venkatachalam.

Their publications have appeared predominantly in respected venues such as:

  • Scientific Reports
  • IEEE Access
  • PeerJ Computer Science
  • Mathematics
  • Applied Soft Computing

In addition to their own research, they have connections to impactful projects covering the prediction of COVID-19 cases using hybrid machine learning methods, COVID-19 diagnostics based on imaging, and novel algorithms for optimization and safety in emergency response systems. Some notable publications related to these topics, authored by associated researchers, include:

  • COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach (2020, Sustainable Cities and Society)
  • From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management (2023, Journal of Sensor and Actuator Networks)
  • Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images (2022, Electronics)

Nebojsa Bacanin's body of work reflects a focused engagement with optimization algorithms, artificial intelligence applications, and the integration of machine learning techniques into practical and theoretical challenges within engineering and computer science disciplines.

Best Publications

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

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

  • From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

    Unknown

  • Modified firefly algorithm for workflow scheduling in cloud-edge environment

    Unknown

  • Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization

    Nebojsa Bacanin;Ruxandra Stoean;Miodrag Zivkovic;Aleksandar Petrovic

  • A Comprehensive Survey on the Internet of Things with the Industrial Marketplace

    Unknown

  • Artificial Bee Colony Algorithm Hybridized with Firefly Algorithm for Cardinality Constrained Mean-Variance Portfolio Selection Problem

    Milan Tubaand;Nebojsa Bacanin

  • Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics

    Nebojsa Bacanin;Timea Bezdan;Eva Tuba;Ivana Strumberger

  • Firefly algorithm for cardinality constrained mean-variance portfolio optimization problem with entropy diversity constraint.

    Nebojsa Bacanin;Milan Tuba

  • An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN)—A Case Study of the Electric Vehicle Selection Problem

    Unknown

  • Artificial Bee Colony (ABC) Algorithm for Constrained Optimization Improved with Genetic Operators

    Nebojsa Bacanin;Milan Tuba

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

    Unknown

  • On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting

    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

  • Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering

    Timea Bezdan;Catalin Stoean;Ahmed Al Naamany;Nebojsa Bacanin

  • Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification

    Unknown

  • 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

  • Improved seeker optimization algorithm hybridized with firefly algorithm for constrained optimization problems

    Milan Tuba;Nebojsa Bacanin

  • 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

  • Designing Convolutional Neural Network Architecture by the Firefly Algorithm

    Ivana Strumberger;Eva Tuba;Nebojsa Bacanin;Miodrag Zivkovic

  • Fireworks algorithm applied to constrained portfolio optimization problem

    Nebojsa Bacanin;Milan Tuba

  • Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design

    Jameer Basha;Nebojsa Bacanin;Nikola Vukobrat;Miodrag Zivkovic

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

    Timea Bezdan;Miodrag Zivkovic;Eva Tuba;Ivana Strumberger

Frequent Co-Authors

Milan Tuba
Milan Tuba Singidunum University
Ivana Strumberger
Ivana Strumberger Singidunum University
Eva Tuba
Eva Tuba Singidunum University
Tarik A. Rashid
Tarik A. Rashid University of Kurdistan Hewler
Rui Dinis
Rui Dinis Universidade Nova de Lisboa
Fadi Al-Turjman
Fadi Al-Turjman Near East University
Siuly Siuly
Siuly Siuly Victoria University
Anand Nayyar
Anand Nayyar Duy Tan University

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