| 2026 | GECCO | A Probabilistic L-System Inspired Designer for Neural Architecture Search: A Graph Neural Network Case Study on Node Classification. | Maciej Krzywda, Szymon Lukasik, Amir Hossein Gandomi |
| 2026 | GECCO | SA-DCGP: Surrogate-Assisted Cartesian Genetic Programming with Dynamic Operator Scheduling for Contrastive Graph Clustering. | Maciej Krzywda, Szymon Lukasik, Amir Hossein Gandomi |
| 2026 | GECCO | Surrogate-Assisted Linear Genetic Programming for Evolving Graph Neural Networks for Node Classification. | Maciej Krzywda, Szymon Lukasik, Amir Hossein Gandomi |
| 2026 | GECCO | Self-Evolving Graph Neural Network Design Inspired by Neural Cellular Automata. | Maciej Krzywda, Mariusz Werminski, Szymon Lukasik, Amir Hossein Gandomi |
| 2026 | GECCO | TAPE-JB: Trait-Aligned Prompt Evolution for Jailbreaking Large Language Models. | Karolina Seweryn, Anna Wrblewska, Szymon Lukasik |
| 2026 | ICCS | Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-Offs. | Soveatin Kuntur, Maciej Krzywda, Anna Wrblewska, Marcin Paprzycki, Maria Ganzha, Szymon Lukasik, Amir H. Gandomi |
| 2025 | DSAA | Detection (Reconstruction) of Long-Lived Particle Tracks in LHCb Experiment, CERN. | Piotr Kulczycki, Grzegorz Golaszewski, Tomasz Szumlak, Szymon Lukasik |
| 2025 | FedCSIS | Applying Evolutionary Techniques to Enhance Graph Convolutional Networks for Node Classification: Case Studies. | Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi |
| 2025 | GECCO | Linear Genetic Programming for Design Graph Neural Networks for Node Classification. | Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi |
| 2025 | GECCO | Unveiling the Search Space of Simple Contrastive Graph Clustering with Cartesian Genetic Programming. | Maciej Krzywda, Yue Liu, Szymon Lukasik, Amir H. Gandomi |
| 2025 | ICCS | Improving Object Detection Quality in Football Through Super-Resolution Techniques. | Karolina Seweryn, Gabriel Chec, Szymon Lukasik, Anna Wrblewska |
| 2025 | WWW | MDAM | Qingzheng Xu, Heming Du, Szymon Lukasik, Tianqing Zhu, Sen Wang, Xin Yu |
| 2024 | EMNLP | LLM generated responses to mitigate the impact of hate speech. | Jakub Podolak, Szymon Lukasik, Pawel Balawender, Jan Ossowski, Jan Piotrowski, Katarzyna Bakowicz, Piotr Sankowski |
| 2024 | ESANN | Large Language Models as Tuning Agents of Metaheuristics. | Alicja Martinek, Szymon Lukasik, Amir H. Gandomi |
| 2024 | ICONIP | Identification of Proton Exchange Membrane Fuel Cell Parameters Using a Parameterless Swarm Intelligent Algorithm. | Pankaj Sharma, Rohit Salgotra, Sarvanakumar Raju, Szymon Lukasik, Amir H. Gandomi |
| 2023 | SIGIR | Synerise Monad: A Foundation Model for Behavioral Event Data. | Barbara Rychalska, Szymon Lukasik, Jacek Dabrowski |
| 2022 | IJCNN | Deep Learning for Porous Media Classification Based on Micro-CT Images. | Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki, Henryk Czachor |
| 2022 | IJCNN | Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches. | Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi |
| 2022 | IJCNN | Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings. | Sergiy Tkachuk, Anna Wrblewska, Jacek Dabrowski, Szymon Lukasik |
| 2021 | ICCS | Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods. | Grzegorz Golaszewski, Piotr Kulczycki, Tomasz Szumlak, Szymon Lukasik |
| 2021 | ICCS | Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions. | Szymon Lukasik, Andrzej Michalowski, Piotr A. Kowalski, Amir H. Gandomi |
| 2020 | ICCS | Modeling of Fire Spread Including Different Heat Transfer Mechanisms Using Cellular Automata. | Jaroslaw Was, Artur Karp, Szymon Lukasik, Dariusz Palka |
| 2020 | IJCNN | Probabilistic Neural Network - parameters adjustment in classification task. | Piotr A. Kowalski, Maciej Kusy, Szymon Kubasiak, Szymon Lukasik |
| 2019 | CoDIT | Crow Search Algorithm for Continuous Optimization Tasks. | Piotr A. Kowalski, Krystian Franus, Szymon Lukasik |
| 2017 | FedCSIS | On the Use of Nature Inspired Metaheuristic in Computer Game. | Piotr Andrzej Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, Piotr Kulczycki |
| 2017 | FedCSIS | Data Clustering with Grasshopper Optimization Algorithm. | Szymon Lukasik, Piotr Andrzej Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki |
| 2016 | CEC | Clustering using flower pollination algorithm and Calinski-Harabasz index. | Szymon Lukasik, Piotr A. Kowalski, Malgorzata Charytanowicz, Piotr Kulczycki |
| 2016 | FedCSIS | Clustering based on the Krill Herd Algorithm with Selected Validity Measures. | Piotr Andrzej Kowalski, Szymon Lukasik, Malgorzata Charytanowicz, Piotr Kulczycki |
| 2014 | FedCSIS | Fully Informed Swarm Optimization Algorithms: Basic Concepts, Variants and Experimental Evaluation. | Szymon Lukasik, Piotr Andrzej Kowalski |
| 2013 | ICAISC | Using Topology Preservation Measures for Multidimensional Intelligent Data Analysis in the Reduced Feature Space. | Szymon Lukasik, Piotr Kulczycki |
| 2011 | ADMA | An Algorithm for Sample and Data Dimensionality Reduction Using Fast Simulated Annealing. | Szymon Lukasik, Piotr Kulczycki |
| 2009 | ICCCI | Firefly Algorithm for Continuous Constrained Optimization Tasks. | Szymon Lukasik, Slawomir Zak |
| 2007 | ICCS | Parallel Computing of Kernel Density Estimates with MPI. | Szymon Lukasik |
| 2007 | PPAM | Parallel Simulated Annealing Algorithm for Graph Coloring Problem. | Szymon Lukasik, Zbigniew Kokosinski, Grzegorz Swieton |