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Daniil Chivilikhin, PhD

mailto: chivdan [at] gmail [dot] com
Currently, I am a Senior Software Engineer @ Siemens Digital Industries Software, Leuven, Belgium.
I work on machine learning and optimization. Previously, I was an Assistant Professor and Senior Research Associate @ Computer Technologies Laboratory, ITMO University.
Strong expertise in SAT and CSP solvers, Synthesis, Verification, Evolutionary Algorithms, Finite Automata, Optimization
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Publications

2023

  1. Semenov A., Chivilikhin D., Kochemazov S., Dzhiblavi I. Probabilistic Generalization of Backdoor Trees with Application to SAT / 37th AAAI Conference on Artificial Intelligence, pp. 4095-4103, Vol. 37, No. 4 2023 [aaai.org] [pdf]
  2. Chivilikhin D., Pavlenko A., Semenov A. Decomposing Hard SAT Instances with Metaheuristic Optimization // International Journal of Artificial Intelligence, Vol. 21(2), pp. 61-92, 2023 [arXiv.org] [ceser.in]

2022

  1. Semenov A., Pavlenko A., Chivilikhin D., Kochemazov S. On Probabilistic Generalization of Backdoors in Boolean Satisfiability / 36th AAAI Conference on Artificial Intelligence, Vol. 36, No. 9, pp. 10353-10361, 2022 [aaai.org] [pdf]
  2. Pavlenko A., Chivilikhin D., Semenov A. Asynchronous Evolutionary Algorithm for Finding Backdoors in Boolean Satisfiability / 2022 IEEE World Congress on Computational Intelligence [ieeexplore.ieee.org]
  3. Semenov A., Chukharev K., Tarasov E., Chivilikhin D., Kondratiev V. Estimating the hardness of SAT encodings for Logical Equivalence Checking of Boolean circuits / CoRR abs/2210.01484, 2022. [arXiv.org]
  4. Chukharev K., Chivilikhin D. fbSAT: Automatic Inference of Minimal Finite-State Models of Function Blocks Using SAT Solver // IEEE Access, Vol. 10, pp. 131592-131610, 2022 [ieeexplore.ieee.org]

2021

  1. Semenov A., Chivilikhin D., Pavlenko A., Otpuschennikov I., Ulyantsev V., Ignatiev A. Evaluating the Hardness of SAT Instances Using Evolutionary Optimization Algorithms / Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021 [pdf]
  2. Chivilikhin D. Temporal specification mining for IEC 61499 function blocks using evolutionary algorithms and model checking / Proceedings of IEEE Congress on Evolutionary computation, pp. 2419-2426, 2021 [ieeexplore.ieee.org]
  3. Chivilikhin D., Zakirzyanov I., Ulyansev V. BeBoSy: Behavior Examples meet Bounded Synthesis // IEEE Access, Vol. 9, pp. 27540-27551, 2021 [ieeexplore.ieee.org]

2020

  1. Chukharev K., Suvorov D., Chivilikhin D., Vyatkin V. SAT-based Counterexample-Guided Inductive Synthesis of Distributed Controllers // IEEE Access, Vol. 8, pp. 207485-207498, 2020 [ieeexplore.ieee.org] [bib]
  2. Chivilikhin D., Samarin A., Ulyantsev V., Iorsh I., Oganov A.R., and Kyriienko O. MoG-VQE: Multiobjective genetic variational quantum eigensolver / Preprint, 2020 [arXiv:2007.04424]
  3. Chivilikhin D., Patil S., Chukharev K., Cordonnier A., Vyatkin V. Automatic state machine reconstruction from legacy PLC using data collection and SAT solver / IEEE Transactions on Industrial Informatics, Vol. 16(12), pp. 7821-7831, 2020 [preprint] [ieeexplore.ieee.org] [bib]

2019

  1. Chivilikhin D., Ulyantsev V., Shalyto A., Vyatkin V. Function block finite-state model identification using SAT and CSP solvers / IEEE Transactions on Industrial Informatics, Vol. 15 (8), pp. 4558-4568, 2019 [preprint] [ieeexplore.ieee.org] [bib]
  2. Chivilikhin D., Patil S., Cordonnier A., Vyatkin V. Towards automatic state machine reconstruction from legacy PLC using data collection / IEEE International Conference on Industrial Informatics, 2019 [ieeexplore.ieee.org] [slides]
  3. Chukharev K., Chivilikhin D. fbSAT: Automatic Inference of Minimal Finite-State Models of Function Blocks Using SAT Solver / Preprint, 2019 [arXiv:1907.03285]

2018

  1. Ovsiannikova P., Chivilikhin D., Ulyantsev V., Stankevich A., Zakirzyanov I., Vyatkin V., Shalyto A. Active learning of formal plant models for cyber-physical systems / In Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018, pp. 719-724 [ieeexplore.ieee.org] [bib] [pdf]
  2. Chivilikhin D., Buzhinsky I., Ulyantsev V., Stankevich A., Shalyto A., Vyatkin V. Counterexample-guided inference of controller logic from execution traces and temporal formulas / In Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018, pp. 91-98 [ieeexplore.ieee.org] [slides] [pdf]

2017

  1. Chivilikhin D., Shalyto A., Patil S., Vyatkin V. Reconstruction of Function Block Logic using Metaheuristic Algorithm / IEEE Transactions on Industrial Informatics, Vol. 13, no. 4, pp. 1763-1771, 2017 [pdf] [ieeexplore.ieee.org] [bib]
  2. Chivilikhin D., Ulyantsev V., Shalyto A. and Vyatkin V. CSP-based inference of function block finite-state models from execution traces / In Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017, pp. 714-719 [pdf] [ieeexplore.ieee.org] [slides] [bib]
  3. Avdyukhin D., Chivilikhin D., Korneev G., Ulyantsev V. and Shalyto A. Plant trace generation for formal plant model inference: methods and case study / In Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017, pp. 746-752 [pdf] [ieeexplore.ieee.org] [slides] [bib]
  4. Ovsiannikova P., Chivilikhin D., Ulyantsev V. and Shalyto A. Closed-loop verification of a compensating group drive model using synthesized formal plant model / Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017 [pdf] [ieeexplore.ieee.org] [bib]

2016

  1. Chivilikhin D., Ivanov I., Shalyto A., Vyatkin V. Reconstruction of Function Block Controllers Based on Test Scenarios and Verification / Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016, pp. 646-651. [pdf] [slides] [ieeexplore.ieee.org] [bib]
  2. Chivilikhin D. Experimental Study of Automated Offline Parameter Tuning on the Example of irace and the Traveling Salesman Problem / Proceedings of the 18th Genetic and Evolutionary Computation Conference companion, 2016, pp. 45-46. [pdf] [dl.acm.org] [poster] [bib]
  3. Shalamov V., Filchenkov A., Chivilikhin D. Small-Moves Based Mutation For Pick-Up And Delivery Problem / Proceedings of the 18th Genetic and Evolutionary Computation Conference companion, 2016, pp. 1027-1030. [pdf] [dl.acm.org] [bib]
  4. Chivilikhin D.S., Ulyantsev V.I., Shalyto A.A. Modified Ant Colony Algorithm for Constructing Finite State Machines from Execution Scenarios and Temporal Formulas // Automation and Remote Control, Vol. 77, No. 3, 2016, P.473-484 [link.springer.com] [bib]

2015

  1. Chivilikhin D., Shalyto A., Vyatkin V. Inferring Automata Logic From Manual Control Scenarios: Implementation in Function Blocks / In Proceedings of the 13th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA'15), 2015, pp. 307-312 [pdf] [bib] [slides] [pptx] [ieeexplore.ieee.org]
  2. Chivilikhin D., Shalyto A., Patil S., Vyatkin V. Reconstruction of Function Block Logic using Metaheuristic Algorithm: Initial Explorations / In Proceedings of the 13th IEEE International Conference on Industrial Informatics (INDIN'15), 2015, pp. 1239-1242 [pdf] [bib] [slides] [pptx] [ieeexplore.ieee.org]
  3. Chivilikhin D., Ivanov I., Shalyto A. Inferring Temporal Properties of Finite-State Machine Models with Genetic Programming / In Proceedings of 17th Genetic and Evolutionary Computation Conference companion (GECCO'15 companion), 2015, pp. 1185-1188 [pdf] [bib] [slides] [pptx] [dl.acm.org]

2014

  1. Chivilikhin D., Ulyantsev V. Inferring Automata-Based Programs from Specification With Mutation-Based Ant Colony Optimization / In Proceedings of the 16th Genetic and Evolutionary Computation Conference companion (GECCO'14), ACM, 2014, pp. 67-68 [pdf] [bib] [supplementary] [poster] [dl.acm.org]
  2. Chivilikhin D., Ulyantsev V., Shalyto A. Extended Finite-State Machine Inference With Parallel Ant Colony Based Algorithms / In Proceedings of the International Student Workshop on Bioinspired Optimization Methods and their Applications (BIOMA'14), 2014, pp. 117-126 [pdf] [bib] [slides] [pptx]
  3. Chivilikhin D., Ulyantsev V., Shalyto A. Combining Exact And Metaheuristic Techniques For Learning Extended Finite-State Machines From Test Scenarios and Temporal Properties / In Proceedings of the 13th International Conference on Machine Learning and Applications (ICMLA'14), 2014, pp. 350-355 [pdf] [bib] [pptx] [ieeexplore.ieee.org]
  4. Buzhinsky I.P., Ulyantsev V.I., Chivilikhin D.S., and Shalyto A. Inducing Finite State Machines from Training Samples Using Ant Colony Optimization // Journal of Computer and Systems Sciences International, 2014, Vol. 53, No. 2, pp. 256-266 [pdf] [bib] [link.springer.com]
  5. Buzhinsky I., Chivilikhin D., Ulyantsev V., Tsarev F.. Improving the Quality of Supervised Finite-State Machine Construction Using Real-Valued Variables / In Proceedings of the 16th Genetic and Evolutionary Computation Conference companion (GECCO'14), ACM, New York, NY, USA, 2014, pp. 1037-1040 [pdf] [bib] [slides] [poster] [dl.acm.org]

2013

  1. Chivilikhin D., Ulyantsev V. Learning Finite-State Machines: Conserving Fitness Function Evaluations by Marking Used Transitions / In Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA'13), Miami, Florida, USA, 2013, vol. 2, pp. 90-95. [pdf] [bib] [slides] [ppt] [ieeexplore.ieee.org]
  2. Chivilikhin D., Ulyantsev V. MuACOsm - A New Mutation-Based Ant Colony Optimization Algorithm for Learning Finite-State Machines / In Proceedings of the 15th Genetic and Evolutionary Computation Conference (GECCO'13), Christian Blum (Ed.). ACM, New York, NY, USA, 2013, pp. 511-518 [pdf] [bib] [presentation] [dl.acm.org]
  3. Chivilikhin D., Ulyantsev V., Shalyto A. Solving Five Instances of the Artificial Ant Problem with Ant Colony Optimization / In Proceedings of the 2013 IFAC Conference on Manufacturing Modelling, Management and Control (MIM'13). Saint-Petersburg, Russia, 2013. Vol. 7, part 1, pp. 1043-1048 [pdf] [bib] [poster] [IFAC-PapersOnLine.net]
  4. Chivilikhin D., Ulyantsev V. Learning Finite-State Machines with Classical and Mutation-Based Ant Colony Optimization: Experimental Evaluation / In Proceedings of the 1st BRICS countries Congress on Computational Intelligence (BRICS-CCI'13), 2013, pp. 528-533 [pdf] [bib] [ieeexplore.ieee.org]

2012

  1. Chivilikhin D., Ulyantsev V., Tsarev F. Test-Based Extended Finite-State Machines Induction with Evolutionary Algorithms and Ant Colony Optimization / In Proceedings of the 14th international conference on Genetic and Evolutionary Computation companion (GECCO'12), ACM, New York, NY, USA. 2012, pp. 603–606. [pdf] [bib] [presentation] [dl.acm.org]
  2. Chivilikhin D., Ulyantsev V. Learning Finite-State Machines with Ant Colony Optimization / Lecture Notes in Computer Science, 2012, Volume 7461/2012, pp. 268-275. [pdf] [bib] [poster] [poster vsd] [link.springer.com]

Program committee member

Theses