| 2026 | GECCO | Fairness and Symbolic Regression. | Michel El Saliby, David Ibehej, Nicole Vergara, Anik Ekrt |
| 2025 | GECCO | Urban Transport Decision Making: Improving Traffic Prediction with Symbolic Regression, Transfer Learning and Deep Learning. | Alina Patelli, John Rego Hamilton, Anik Ekrt |
| 2025 | RE | How Good is Good Enough? Non-Inferiority Trials for Requirements Trade-Offs in Self-Adaptive Systems. | Huma Samin, Nelly Bencomo, Anik Ekrt |
| 2024 | EvoMUSART | Modelling Individual Aesthetic Preferences of 3D Sculptures. | Edward Easton, Ulysses Bernardet, Anik Ekrt |
| 2023 | EvoMUSART | Is Beauty in the Age of the Beholder? | Edward Easton, Ulysses Bernardet, Anik Ekrt |
| 2022 | CEC | A GENTLER Approach to Urban Traffic Modelling and Prediction. | Alina Patelli, John Rego Hamilton, Victoria Lush, Anik Ekrt |
| 2022 | VR | The Virtual Human Breathing Coach. | Sanobar Dar, Anik Ekrt, Ulysses Bernardet |
| 2020 | CEC | Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction. | Anik Ekrt, Alina Patelli, Victoria Lush, Elisabeth Ilie Zudor |
| 2020 | IROS | Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. | Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anik Ekrt, George Vogiatzis |
| 2019 | GECCO | Phoneme aware speech recognition through evolutionary optimisation. | Jordan J. Bird, Elizabeth F. Wanner, Anik Ekrt, Diego R. Faria |
| 2019 | GECCO | Increasing genetic programming robustness using simulated dunning-kruger effect. | Thomas D. Griffiths, Anik Ekrt |
| 2018 | KES | Partially Lazy Classification of Cardiovascular Risk via Multi-way Graph Cut Optimization. | Karma M. Fathalla, Anik Ekrt, Doina Gherghel |
| 2018 | PPSN | Self-adaptive Crossover in Genetic Programming: The Case of the Tartarus Problem. | Thomas D. Griffiths, Anik Ekrt |
| 2017 | EUROGP | Improving the Tartarus Problem as a Benchmark in Genetic Programming. | Thomas D. Griffiths, Anik Ekrt |
| 2017 | GECCO | Gaining insights into road traffic data through genetic improvement. | Anik Ekrt, Alina Patelli, Victoria Lush, Elisabeth Ilie Zudor |
| 2016 | SMC | Cardiovascular risk prediction based on Retinal Vessel Analysis using machine learning. | Karma M. Fathalla, Anik Ekrt, Swathi Seshadri, Doina Gherghel |
| 2015 | GECCO | Two-B or not Two-B?: Design Patterns for Hybrid Metaheuristics. | Alina Patelli, Nelly Bencomo, Anik Ekrt, Harry Goldingay, Peter R. Lewis |
| 2015 | IJCAI | Evolving Ambiguous Images. | Penousal Machado, Adriano Vinhas, Joo Correia, Anik Ekrt |
| 2014 | GECCO | Women@GECCO 2014. | Una-May O'Reilly, Anna Esparcia-Alczar, Anne Auger, Carola Doerr, Anik Ekrt, Gabriela Ochoa |
| 2014 | SAC | Cloud adoption: prioritizing obstacles and obstacles resolution tactics using AHP. | Shehnila Zardari, Rami Bahsoon, Anik Ekrt |
| 2007 | GECCO | Evolution of lace knitting stitch patterns by genetic programming. | Anik Ekrt |
| 2007 | SGAI | Genetic Programming for the Design of Lace Knitting Stitch Patterns. | Anik Ekrt |
| 2004 | EUROGP | A Data Structure for Improved GP Analysis via Efficient Computation and Visualisation of Population Measures. | Anik Ekrt, Steven M. Gustafson |
| 2002 | EUROGP | Maintaining the Diversity of Genetic Programs. | Anik Ekrt, Sndor Zoltn Nmeth |
| 2000 | EUROGP | A Metric for Genetic Programs and Fitness Sharing. | Anik Ekrt, Sndor Zoltn Nmeth |