About me

Top 2% scientists list by Stanford University and Scopus, 2025

MSCA Postdoctoral Fellowships Seal of Excellence, European Commission, 2025 & 2026

My current position: Postdoctoral Researcher, School of Civil Engineering, University College Dublin, Dublin, Ireland

My research interests: Artificial intelligence, Metaheuristic algorithms, Machine learning, Deep learning, Operations research, Big data, Data mining, Transportation, Logistics, Multi-objective optimization.

Research software: Python, C#, Java, Minitab, Gurobi, IBM CPLEX.

Work Experience

Postdoctoral Researcher

2025 September - 2026 June
University College Dublin, Ireland

School of Civil Engineering

Associate Professor

2024 August - 2025 August
Mudanya University, Türkiye

Industrial Engineering Department

  • Head of Industrial Engineering Department
  • University Quality Commission Member
  • University Ethics Committee Member
  • Chairman of Faculty Quality Commission
  • Faculty Management Board Member

Postdoctoral Researcher

2023 June - 2024 June
Leiden University, Netherlands

Leiden Institute of Advanced Computer Science

Research Assistant

2014 December - 2023 March
Erciyes University, Türkiye

Industrial Engineering Department

Education

PhD in Industrial Engineering

2016 - 2021
Erciyes University, Türkiye

Thesis: New algorithms for big data analysis

MSc in Industrial Engineering

2014 - 2016
Erciyes University, Türkiye

Thesis: Training artificial neural networks with new metaheuristic algorithms and their application to classification area of data mining

BSc in Industrial Engineering (English)

2009 - 2014
Hacettepe University, Türkiye

Awards & Honors

  • 2025 World's Top 2% Scientists — Stanford University and Scopus
  • 2026 MSCA Postdoctoral Fellowships Seal of Excellence (94.20/100) — Marie Skłodowska-Curie Actions, European Commission
  • 2025 MSCA Postdoctoral Fellowships Seal of Excellence (87.20/100) — Marie Skłodowska-Curie Actions, European Commission
  • 2023 TUBITAK 2219 International Postdoctoral Research Fellowship — The Scientific and Technological Research Council of Türkiye

Projects

Automated Predictive Estimation Tool for Pricing MMC (LGS) Building Projects - 2025-2026, Construct Innovate
Explainable Artificial Intelligence For Multi-Criteria Optimization And Decision Analysis - 2023-2024, TUBITAK 2219 project
Smart Maintenance Decision Support System and Predictive Maintenance Application Based on Deep Learning - 2021-2023, TUBITAK 1505 project
Development of Vehicle Optimization Technique for Shared Taxi Application - 2021, Turkcell Technology
A Matheuristic Approach for Integrated Tariff Determination and Machinist Scheduling Problem in Rail Systems - 2017-2020, TUBITAK 1001 project

Publications

Journal Papers

  1. Dragon fruit drying method selection: A hybrid SWARA-EDAS-CoCoSo-MOORA MCDM approach
    Gülmez, B.
    Drying Technology, 2026, SCIE, Q2
  2. Code generation with large language models: a survey from neural program synthesis to autonomous software development
    Gülmez, B.
    Applied Intelligence, 2026, SCIE, Q2
  3. Artificial intelligence-driven smart grid optimization: a comprehensive review of machine learning, renewable integration, and cybersecurity applications
    Gülmez, B.
    Energy Conversion and Management: X, 2026, ESCI
  4. Banana drying method selection: a hybrid multi-criteria decision making approach integrating SWARA weighting with MOORA, MARCOS, and PSI ranking methods
    Gülmez, B.
    Journal of Food Processing and Preservation, 2026, SCIE, Q3
  5. A hybrid Decision tree-Markowitz framework for intelligent trading portfolio optimization
    Korhan, E.; Gülmez, B.
    Applied Intelligence, 2026, SCIE, Q2
  6. Convolutional neural networks for prostate cancer detection, classification, and segmentation: A systematic review and bibliometric analysis
    Gülmez, B.
    European Journal of Radiology Open, 2026, ESCI
  7. Artificial intelligence applications in ovarian cancer detection: A systematic literature review of deep learning approaches and clinical translation challenges
    Gülmez, B.
    Critical Reviews in Oncology/Hematology, 2026, SCIE, Q1
  8. A novel hybrid MCDM framework combining TOPSIS, PROMETHEE II, and VIKOR for peach drying method selection
    Gülmez, B.
    Current Research in Food Science, 2025, SCIE, Q1
  9. GA-Attention-Fuzzy-Stock-Net: An Optimized Neuro-Fuzzy System for Stock Market Price Prediction with Genetic Algorithm and Attention Mechanism
    Gülmez, B.
    Heliyon, 2025, SCIE, Q1
  10. Deep learning based colorectal cancer detection in medical images: A comprehensive analysis of datasets, methods, and future directions
    Gülmez, B.
    Clinical Imaging, 2025, SCIE, Q3
  11. A Hybrid Approach for Stock Market Price Forecasting Using Long Short-Term Memory and Seahorse Optimization Algorithm
    Gülmez, B.
    Annals of Data Science, 2025, Scopus
  12. Stock price prediction using the Sand Cat Swarm Optimization and an improved deep Long Short Term Memory network
    Gülmez, B.
    Borsa Istanbul Review, 2024, SSCI, Q1
  13. Advancements in maize disease detection: A comprehensive review of convolutional neural networks
    Gülmez, B.
    Computers in Biology and Medicine, 2024, SCIE, Q1
  14. Multi-objective optimization for green delivery routing problems with flexible time windows
    Gülmez, B., Emmerich, M., Fan, Y.
    Applied Artificial Intelligence, 2024, SCIE, Q2
  15. A comprehensive review of convolutional neural networks based disease detection strategies in potato agriculture
    Gülmez, B.
    Potato Research, 2024, SCIE, Q1
  16. A new multi-objective hyperparameter optimization algorithm for COVID-19 detection from x-ray images
    Gülmez, B.
    Soft Computing, 2024, SCIE, Q2
  17. Stock price prediction with optimized deep LSTM network with Artificial Rabbits Optimization Algorithm
    Gülmez, B.
    Expert Systems with Applications, 2023, SCIE, Q1
  18. A novel deep neural network model based Xception and Genetic Algorithm for detection of COVID-19 from X-Ray images
    Gülmez, B.
    Annals of Operations Research, 2023, SCIE, Q1
  19. A novel deep learning model with the Grey Wolf Optimization algorithm for cotton disease detection
    Gülmez, B.
    Journal of Universal Computer Science, 2023, SCIE, Q3
  20. Analysis and price prediction of secondhand vehicles in Türkiye with big data and machine learning techniques (Turkish)
    Gülmez, B., Kulluk, S.
    Journal of Gazi University Engineering Faculty of Architecture, 2023, SCIE, Q3
  21. FC-Kmeans: Fixed-Centered Kmeans algorithm
    Ay, M., Özbakır, L., Kulluk, S., Gülmez, B., Öztürk, G., Özer, S.
    Expert Systems with Applications, 2023, SCIE, Q1
  22. A constraint programming based column generation approach for crew scheduling: a case study for the Kayseri Railway
    Tapkan, P., Kulluk, S., Özbakır, L., Bahar, F., Gülmez, B.
    Journal of the Operational Research Society, 2023, SCIE, Q2
  23. CNN-LSTM and clustering based spatial-temporal demand forecasting for on-demand ride services
    Ay, M., Kulluk, S., Özbakır, L., Gülmez, B., Öztürk, G., Özer, S.
    Neural Computing and Applications, 2022, SCIE, Q1
  24. Optimizing and comparison of market chain product distribution problem with different Genetic Algorithm versions (Turkish)
    Gülmez, B.
    Osmaniye Korkut Ata University Journal of The Institute of Science and Technology, 2022, TR
  25. A modeling approach to the train timetabling problem using adaptive headways for dynamic passenger demand
    Özbakır, L., Tapkan, P., Kulluk, S., Bahar, F., Gülmez, B.
    International Journal of Rail Transportation, 2022, SCIE, Q2
  26. Social Spider Algorithm for training artificial neural networks
    Gülmez, B., Kulluk, S.
    International Journal of Business Analytics, 2019, ESCI

Books and Book Chapters

  1. Improved discrete queuing search algorithm for traveling salesman problem
    Gülmez, B.
    International Research in Engineering Sciences VI, 2023, Chapter
  2. MonkeypoxHybridNet: A hybrid deep convolutional neural network model for monkeypox disease detection
    Gülmez, B.
    International Research in Engineering Sciences III, 2022, Chapter
  3. Demand forecasting and production planning in a factory with time series analysis (Turkish)
    Gülmez, B.
    International Research in Engineering Sciences II, 2022, Chapter

Conference Papers

  1. Multi-objective green delivery routing with flexible time windows: minimizing fossile fuel consumption versus maximizing quality of service
    Emmerich, M., Gülmez, B., Fan, Y.
    CM3 – TRANSPORT 2023, Jyvaskyla, Finland, 2023
  2. Rose leaf disease detection with deep learning using particle swarm optimization (Turkish)
    Gülmez, B.
    International Conference on Modern and Advanced Research, Konya, Türkiye, 2023
  3. Helmet Detection with Deep Learning for Workplace Safety (Turkish)
    Gülmez, B.
    International Conference on Engineering and Applied Natural Sciences, Konya, Türkiye, 2023
  4. Vehicle Routing Problem Optimization with Artificial Rabbit Algorithm (Turkish)
    Gülmez, B.
    International Conference on Smart Logistics, Istanbul, Türkiye, 2022
  5. Prediction of Retail Prices of Roasted Coffee by Time Series Analysis
    Gülmez, B.
    International Anatolian Congress on Coffee & Cocoa, Malatya, Türkiye, 2021
  6. Covid-19 Vaccine Distribution Time Optimization with Genetic Algorithm
    Gülmez, B., Korhan, E.
    The International Conference on Engineering, Natural and Applied Science, Osmaniye, Türkiye, 2021
  7. SSIM: A Hybrid of Social Spider and Ions Motion Algorithms and Its Application to ANN Training
    Gülmez, B., Kulluk, S.
    International Conference on Engineering and Natural Sciences, Kyiv, Ukraine, 2018
  8. Simultaneous Feature Selection and ANN Training for Data Mining Applications
    Gülmez, B., Kulluk, S.
    International Conference on Engineering and Natural Sciences, Kyiv, Ukraine, 2018
  9. Training Fuzzy Neural Networks with Social Spider Algorithm
    Gülmez, B., Kulluk, S., Torun, H.
    International Fuzzy Systems Symposium, Ankara, Türkiye, 2017
  10. Stochastic Fractal Search Algorithm for Training ANNs on Production Dataset
    Gülmez, B., Kulluk, S., Özbakır, L., Tapkan, P.
    International Symposium for Production Research, Vienna, Austria, 2017
  11. Adaptive Social Spider Algorithm for Training Neural Networks
    Gülmez, B., Kulluk, S.
    International Symposium for Production Research, Vienna, Austria, 2017
  12. Training Artificial Neural Networks with Ions Motion Algorithm on Real Estate Dataset
    Gülmez, B., Kulluk, S.
    International Conference on Engineering and Natural Sciences, Budapest, Hungary, 2017
  13. Training Artificial Neural Networks with Ions Motion Algorithm (Turkish)
    Gülmez, B., Kulluk, S.
    Operations Research / Industrial Engineering Congress, Izmir, Türkiye, 2016
  14. Operating Room Scheduling in Erciyes University Hospital (Turkish)
    Altunpala, O., Köksal, D., Koç, K., Kulluk, S., Gülmez, B.
    Operations Research / Industrial Engineering Congress, Izmir, Türkiye, 2016
  15. Optimizing of Water Distribution System with Ant Colony Algorithm (Turkish)
    Gülmez, B., Kulluk, S., Özbakır, L.
    Operations Research / Industrial Engineering Congress, Ankara, Türkiye, 2015

Skills & Proficiency