cv | Pawel Liskowski

Research Interests

Neural networks, computer vision, reinforcement learning, evolutionary computation

Education

Poznań University of Technology, Ph.D., Computer Science Thesis: Heuristic Algorithms for Discovery of Search Objectives in Test-based Problems Advisor: Krzysztof Krawiec	2018
Poznań University of Technology, M.Sc., Computer Science Thesis: Co-evolution versus Evolution with Random Sampling for Acquiring Othello Position Evaluation Advisor: Wojciech Jaśkowski	2012
Poznań University of Technology, B.Sc., Computer Science Thesis: Mobile Search Engine for Sales and Promotional Offers	2010

Employment

NNAISENSE SA, Lugano, Switzerland Research Scientist, Deep Learning & Intelligent Automation Team Applying machine learning and computer vision to industrial problems. Conducting research in neural networks and deep learning.	2018 - present
Poznań University of Technology, Poznań, Poland Assistant Professor, Laboratory of Intelligent Decision Support Systems, Institute of Computing Science	2018 - 2019
Poznań University of Technology, Poznań, Poland Research Assistant, Laboratory of Intelligent Decision Support Systems, Institute of Computing Science Researched neural networks, evolutionary algorithms, and reinforcement learning. Applied machine learning to medical imaging and computer vision.	2013 - 2018
NaviExpert, Poznań, Poland Software Engineer, Research & Development Team Development of real-time traffic monitoring technologies	2010-2013

Awards

Polish Artificial Intelligence Society Award for the best Ph.D. dissertation in AI	2019
Faculty of Computing Science Distinction for outstanding Ph.D. dissertation	2018
Foundation for Polish Science START Scholarship for Talented Researchers	2018
Polish Academy of Sciences Award for [23]	2017
Best Paper Award for [9]	2016
Polish Information Processing Society Award for the best M.Sc. thesis in CS	2012

Research grants

Very Deep Neural Networks in Reinforcement Learning Granted by Poznań University of Technology, 09/91/DSMK/0633 Role: Principal investigator	2017-2018
(Co)evolutionary Computation Framework in High Performance Computing Cluster Granted by Polish Supercomputing and Networking Center Role: Principal investigator	2016-2018
Heuristic Discovery of Underlying Objectives for Test-based Problems Granted by Polish National Science Centre, 2014/15/N/ST6/04572 Role: Principal investigator	2015 - 2018
Interferometric Imaging Methods for Investigation of Dynamics of Biological Systems Granted by Polish National Centre for Research and Development, PBS1/A9/20/2013 Roles: Team leader, co-investigator	2013-2016
Scalable Metaheuristics for Automated Program Synthesis Granted by Polish National Science Centre, 2014/15/B/ST6/05205 Role: Co-investigator	2015-2018
SIGEVO/ACM Student Grant	2015
New Computational Paradigms for Explanatory Modeling of Complex Systems Granted by Polish National Science Centre, 2011/01/B/ST6/07318 Role: Co-investigator	2011-2014

Publications

Conference Papers

[1] Paweł Liskowski, Krzysztof Krawiec, and Nihat Engin Toklu. Neuromemetic Evolutionary Optimization. Parallel Problem Solving from Nature - PPSN XVI, 2020. (DOI)
[2] Nihat Engin Toklu, Paweł Liskowski, and Rupesh Kumar Srivastava. ClipUp: A Simple and Powerful Optimizer for Distribution-Based Policy Evolution. Parallel Problem Solving from Nature - PPSN XVI, 2020. (DOI)
[3] Paweł Liskowski, Krzysztof Krawiec, Nihat Engin Toklu, and Jerry Swan. Program Synthesis as Latent Continuous Optimization: Evolutionary Search in Neural Embeddings. Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020. (DOI)
[4] Paweł Liskowski, Bartosz Wieloch, and Krzysztof Krawiec. Neural Estimation of Interaction Outcomes. Proceedings of the 2018 Genetic and Evolutionary Computation Conference, 2018. (DOI)
[5] Paweł Liskowski, Iwo Błądek, and Krzysztof Krawiec. Neuro-guided Genetic Programming. Proceedings of the 2018 Genetic and Evolutionary Computation Conference, 2018. (DOI)
[6] Maciej Szkulmowski, Paweł Liskowski, Bartosz Wieloch, Krzysztof Krawiec, and Bartosz Sikorski. Convolutional Neural Networks for Artifact Free OCT Retinal Angiography. Investigative Ophthalmology & Visual Science, 2017. (DOI)
[7] Paweł Liskowski and Wojciech Jaśkowski. Accelerating Coevolution with Adaptive Matrix Factorization. Proceedings of the 2017 Genetic and Evolutionary Computation Conference, 2017. Nominated to Best Paper Award. (DOI)
[8] Paweł Liskowski and Krzysztof Krawiec. Discovery of Search Objectives in Continuous Domains. Proceedings of the 2017 Genetic and Evolutionary Computation Conference, 2017. (DOI)
[9] Paweł Liskowski and Krzysztof Krawiec. Surrogate Fitness Via Factorization of Interaction Matrix. EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, 2016. Best Paper Award. (DOI)
[10] Paweł Liskowski and Krzysztof Krawiec. Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming. Proceedings of the 2016 Genetic and Evolutionary Computation Conference, 2016. (DOI)
[11] Maciej Szkulmowski, Daniel Rumiński, Paweł Liskowski, Bartosz Wieloch, Krzysztof Krawiec, Bartosz Sikorski, and Maciej D. Wojtkowski. OCT Retinal Angiography Using Neural Networks. The Annual Meeting of the Association for Research in Vision and Ophthalmology, 2016. (DOI)
[12] Wojciech Jaśkowski, Marcin Szubert, Paweł Liskowski, and Krzysztof Krawiec. High-dimensional Function Approximation for Knowledge-free Reinforcement Learning: A Case Study in SZ-Tetris. Proceedings of the 2015 Conference on Genetic and Evolutionary Computation, 2015. (DOI)
[13] Marcin Szubert, Wojciech Jaśkowski, Paweł Liskowski, and Krzysztof Krawiec. The Role of Behavioral Diversity and Difficulty of Opponents in Coevolving Game-playing Agents. Applications of Evolutionary Computation, 2015. (DOI)
[14] Krzysztof Krawiec and Paweł Liskowski. Automatic Derivation of Search Objectives for Test-based Genetic Programming. EuroGP 2015: Proceedings of the 19th European Conference on Genetic Programming, 2015. Nominated to Best Paper Award. (DOI)
[15] Paweł Liskowski, Krzysztof Krawiec, Thomas Helmuth, and Lee Spector. Comparison of Semantic-aware Selection Methods in Genetic Programming. Proceedings of the 2015 Genetic and Evolutionary Computation Conference, 2015. (DOI)
[16] Wojciech Jaśkowski, Marcin Szubert, and Paweł Liskowski. Multi-criteria Comparison of Coevolution and Temporal Difference Learning on Othello. EvoApplications 2014, 2014. (DOI , PDF)
[17] Paweł Liskowski and Krzysztof Krawiec. Discovery of Implicit Objectives by Compression of Interaction Matrix in Test-based Problems. Parallel Problem Solving from Nature - PPSN XIII, 2014. (DOI)
[18] Paweł Liskowski. Quantitative Analysis of the Hall of Fame Coevolutionary Archives. Proceedings of the 2013 Genetic and Evolutionary Computation Conference, 2013. (DOI)
[19] Marcin Szubert, Wojciech Jaśkowski, Paweł Liskowski, and Krzysztof Krawiec. Shaping Fitness Function for Evolutionary Learning of Game Strategies. Proceedings of the 2013 Genetic and Evolutionary Computation Conference, 2013. (DOI)
[20] Wojciech Jaśkowski, Paweł Liskowski, Marcin Szubert, and Krzysztof Krawiec. Improving Coevolution by Random Sampling. Proceedings of the 2013 Genetic and Evolutionary Computation Conference, 2013. (DOI)

Journal Papers

[21] Paweł Liskowski, Wojciech Jaśkowski, and Krzysztof Krawiec. Learning to Play Othello with Deep Neural Networks. IEEE Transactions on Games, 2018. (DOI)
[22] Paweł Liskowski and Krzysztof Krawiec. Adaptive Test Selection for Factorization-based Surrogate Fitness in Genetic Programming. Foundations of Computing and Decision Sciences, 2017. (DOI)
[23] Paweł Liskowski and Krzysztof Krawiec. Segmenting Retinal Blood Vessels with Deep Neural Networks. IEEE Transactions on Medical Imaging, 2016. (DOI)
[24] Paweł Liskowski and Krzysztof Krawiec. Online Discovery of Search Objectives for Test-based Problems. Evolutionary Computation, 2016. (DOI)
[25] Wojciech Jaśkowski, Paweł Liskowski, Marcin Szubert, and Krzysztof Krawiec. Performance Profile: A Multi-criteria Performance Evaluation Method for Test-based Problems. International Journal of Applied Mathematics and Computer Science, 2016. (DOI , PDF)

Theses

[26] Paweł Liskowski. Heuristic Algorithms for Discovery of Search Objectives in Test-based Problems. Poznan University of Technology, 2018. (DOI)
[27] Paweł Liskowski. Co-evolution versus Evolution with Random Sampling for Acquiring Othello Position Evaluation. Poznan University of Technology, 2012. ()

Presentations and Seminars

Latent Continuous Optimization: Evolutionary Search in Neural Embeddings.
Genetic and Evolutionary Computation Conference	Online, 2020

Neuromemetic Evolutionary Optimization
Parallel Problem Solving from Nature	Online, 2020

Neural Estimation of Interaction Outcomes
Genetic and Evolutionary Computation Conference	Kyoto, Japan 2018

Neuro-guided Genetic Programming
Genetic and Evolutionary Computation Conference	Kyoto, Japan 2018

Accelerating Coevolution with Adaptive Matrix Factorization
Genetic and Evolutionary Computation Conference	Berlin, Germany 2017

Discovery of Search Objectives in Continuous Domains
Genetic and Evolutionary Computation Conference	Berlin, Germany 2017

Segmenting Retinal Blood Vessels With Deep Neural Networks
Code4Life Scientific	Poznań, Poland 2017

Augmented Diagnosis with Deep Learning
Applied Machine Learning and and Big Data	Poznań, Poland 2016

Surrogate Fitness Via Factorization of Interaction Matrix
European Conference on Genetic Programming	Porto, Portugal 2016

Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives
Genetic and Evolutionary Computation Conference	Denver, USA 2016

Semantic-aware Selection Methods in Genetic Programming
Genetic and Evolutionary Computation Conference	Madrid, Spain 2015

Discovery of Implicit Objectives by Compression of Interaction Matrix
Parallel Problem Solving from Nature	Ljubljana, Slovenia 2014

Deep Convolutional Networks Combined with Structural Prediction in Medical Imaging
Machine Learning in Robotics and Image Processing	Poznań, Poland 2014

Reviewing

IEEE Transactions on Medical Imaging	2019 - 2020
IEEE Transactions on Computational Intelligence and AI in Games	2018 - 2020
IEEE Transactions on Industrial Informatics	2018 - 2020
IEEE Journal of Biomedical and Health Informatics	2019 - 2020
International Journal of Applied Mathematics and Computer Science	2017
PLOS ONE	2016

Genetic and Evolutionary Computation Conference	2016 - 2020
International Conference on Artificial Intelligence in Medicine	2019

Teaching

Topics in Computational Intelligence	2018-2019
Human-Computer Interation	2013 - 2018