CV

Education

B.S. in GitHub, GitHub University, 2012
M.S. in Jekyll, GitHub University, 2014
Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub

Skills

Skill 1
Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
Skill 3

Publications

Automated collagen proportional area extraction in liver biopsy images using a novel classification via clustering algorithm

Dimosthenis Tsouros, Panagiotis Smyrlis, Markos Tsipouras, Dimitrios Tsalikakis, Nikolaos Giannakeas, Alexandros Tzallas, Pinelopi Manousou, "Automated collagen proportional area extraction in liver biopsy images using a novel classification via clustering algorithm." In the proceedings of 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 2017.

Parallelization and energy evaluation of interframe compression technique for video images QSDPCM

Panagiotis Smyrlis, Dimosthenis Tsouros, Minas Dasygenis, "Parallelization and energy evaluation of interframe compression technique for video images QSDPCM." In the proceedings of 2017 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2017.

Constrained K-Means Classification.

Panagiotis Smyrlis, Dimosthenis Tsouros, Markos Tsipouras, "Constrained K-Means Classification.." Engineering, Technology & Applied Science Research, 2018.

Efficient methods for constraint acquisition

Dimosthenis Tsouros, Kostas Stergiou, Panagiotis Sarigiannidis, "Efficient methods for constraint acquisition." In the proceedings of Principles and Practice of Constraint Programming: 24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings 24, 2018.

Random forests with stochastic induction of decision trees

Markos Tsipouras, Dimosthenis Tsouros, Panagiotis Smyrlis, Nikolaos Giannakeas, Alexandros Tzallas, "Random forests with stochastic induction of decision trees." In the proceedings of 2018 IEEE 30th international conference on tools with artificial intelligence (ICTAI), 2018.

A review on UAV-based applications for precision agriculture

Dimosthenis Tsouros, Stamatia Bibi, Panagiotis Sarigiannidis, "A review on UAV-based applications for precision agriculture." Information, 2019.

An architecture model for smart farming

Anna Triantafyllou, Dimosthenis Tsouros, Panagiotis Sarigiannidis, Stamatia Bibi, "An architecture model for smart farming." In the proceedings of 2019 15th International conference on distributed computing in sensor systems (DCOSS), 2019.

Automated assessment of pain intensity based on EEG signal analysis

Panagiotis Bonotis, Dimosthenis Tsouros, Panagiotis Smyrlis, Alexandros Tzallas, Nikolaos Giannakeas, Evripidis Glavas, Markos Tsipouras, "Automated assessment of pain intensity based on EEG signal analysis." In the proceedings of 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 2019.

Data acquisition and analysis methods in UAV-based applications for Precision Agriculture

Dimosthenis Tsouros, Anna Triantafyllou, Stamatia Bibi, Panagiotis Sarigannidis, "Data acquisition and analysis methods in UAV-based applications for Precision Agriculture." In the proceedings of 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2019.

Structure-driven multiple constraint acquisition

Dimosthenis Tsouros, Kostas Stergiou, Christian Bessiere, "Structure-driven multiple constraint acquisition." In the proceedings of Principles and Practice of Constraint Programming: 25th International Conference, CP 2019, Stamford, CT, USA, September 30--October 4, 2019, Proceedings 25, 2019.

A novel classification via clustering algorithm for fibrosis assessment in liver biopsies

Dimosthenis Tsouros, Panagiotis Smyrlis, Dimitrios Tsalikakis, Nikolaos Giannakeas, Alexandros Tzallas, Pinelopi Manousou, Markos Tsipouras, "A novel classification via clustering algorithm for fibrosis assessment in liver biopsies." Health and Technology, 2020.

Efficient multiple constraint acquisition

Dimosthenis Tsouros, Kostas Stergiou, "Efficient multiple constraint acquisition." Constraints, 2020.

Omissions in constraint acquisition

Dimosthenis Tsouros, Kostas Stergiou, Christian Bessiere, "Omissions in constraint acquisition." In the proceedings of Principles and Practice of Constraint Programming: 26th International Conference, CP 2020, Louvain-la-Neuve, Belgium, September 7--11, 2020, Proceedings 26, 2020.

Towards a Fully Open-Source System for Monitoring of Crops with UAVs in Precision Agriculture

Dimosthenis Tsouros, Anastasia Terzi, Stamatia Bibi, Fotini Vakouftsi, Vassilis Pantzios, "Towards a Fully Open-Source System for Monitoring of Crops with UAVs in Precision Agriculture." In the proceedings of Proceedings of the 24th Pan-Hellenic Conference on Informatics, 2020.

Learning max-csps via active constraint acquisition

Dimosthenis Tsouros, Kostas Stergiou, "Learning max-csps via active constraint acquisition." In the proceedings of 27th International Conference on Principles and Practice of Constraint Programming (CP 2021), 2021.

Monitoring saffron crops with uavs

Konstantinos Kiropoulos, Dimosthenis Tsouros, Foteini Dimaraki, Anna Triantafyllou, Stamatia Bibi, Panagiotis Sarigiannidis, Pantelis Angelidis, "Monitoring saffron crops with uavs." In the proceedings of Telecom, 2022.

UAV saffran monitoring process

Konstantinos Kiropoulos, Foteini Dimaraki, Dimosthenis Tsouros, Stamatia Bibi, "UAV saffran monitoring process." In the proceedings of 2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2022.

Breaking Constraint Modelling Languages with Metamorphic Testing

Ignace Bleukx, Wout Vanroose, Jo Devriendt, Dimos Tsouros, H{\'e}l{\`e}ne Verhaeghe, Tias Guns, "Breaking Constraint Modelling Languages with Metamorphic Testing." In the proceedings of The 22nd workshop on Constraint Modelling and Reformulation, Date: 2023/08/27-2023/08/27, Location: Toronta, Canada, 2023.

Guided Bottom-Up Interactive Constraint Acquisition

Dimos Tsouros, Senne Berden, Tias Guns, "Guided Bottom-Up Interactive Constraint Acquisition." In the proceedings of 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), 2023.

Holy Grail 2.0: From Natural Language to Constraint Models

Dimos Tsouros, H{\'e}l{\`e}ne Verhaeghe, Serdar Kad{\i}o{\u{g}}lu, Tias Guns, "Holy Grail 2.0: From Natural Language to Constraint Models." arXiv preprint arXiv:2308.01589, 2023.

Learning constraint models from data

Dimosthenis Tsouros, Tias Guns, Kostas Stergiou, "Learning constraint models from data." In the proceedings of Proc. AAAI 2023 Bridge on Constraint Programming and Machine Learning (CPML), 2023.

Learning constraints through partial queries

Christian Bessiere, Clement Carbonnel, Anton Dries, Emmanuel Hebrard, George Katsirelos, Nina Narodytska, Claude-Guy Quimper, Kostas Stergiou, Dimosthenis Tsouros, Toby Walsh, "Learning constraints through partial queries." Artificial Intelligence, 2023.

Learning to Learn in Interactive Constraint Acquisition

Dimos Tsouros, Senne Berden, Tias Guns, "Learning to Learn in Interactive Constraint Acquisition." arXiv preprint arXiv:2312.10795, 2023.

The p-Dispersion Problem with Distance Constraints

Nikolaos Ploskas, Kostas Stergiou, Dimosthenis Tsouros, "The p-Dispersion Problem with Distance Constraints." In the proceedings of 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), 2023.

A CP/LS Heuristic Method for Maxmin and Minmax Location Problems with Distance Constraints

Panteleimon Iosif, Nikolaos Ploskas, Kostas Stergiou, Dimosthenis Tsouros, "A CP/LS Heuristic Method for Maxmin and Minmax Location Problems with Distance Constraints." In the proceedings of 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024.

Constraint Modelling with LLMs Using In-Context Learning

Kostis Michailidis, Dimos Tsouros, Tias Guns, "Constraint Modelling with LLMs Using In-Context Learning." In the proceedings of 30th International Conference on Principles and Practice of Constraint Programming, 2024.

Efficient Modeling of Half-reified Global Constraints

Ignace Bleukx, H{\'e}l{\`e}ne Verhaeghe, Dimos Tsouros, Tias Guns, "Efficient Modeling of Half-reified Global Constraints." In the proceedings of The 23rd workshop on Constraint Modelling and Reformulation, Date: 2024/09/02-2024/09/02, Location: Gerona, Spain, 2024.

Generalizing Constraint Models in Constraint Acquisition

Dimos Tsouros, Steven Prestwich, Tias Guns, "Generalizing Constraint Models in Constraint Acquisition." In the proceedings of CP24 workshop on Progress Towards the Holy Grail, 2024.

Learning to learn in interactive constraint acquisition

Dimosthenis Tsouros, Senne Berden, Tias Guns, "Learning to learn in interactive constraint acquisition." In the proceedings of Proceedings of the AAAI Conference on Artificial Intelligence, 2024.

Mutational Fuzz Testing for Constraint Modeling Systems

Wout Vanroose, Ignace Bleukx, Jo Devriendt, Dimos Tsouros, H{\'e}l{\`e}ne Verhaeghe, Tias Guns, "Mutational Fuzz Testing for Constraint Modeling Systems." In the proceedings of 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024.

Dimos Tsouros

CV

Education

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