Research Interests

My research focuses on Big Data analysis, summarization and user-friendly visualization. In particular, I develop data clustering algorithms for fully automatic construction of user-friendly taxonomies of topics for various datasets including scientific papers. Also, I develop web components for visual exploration of the constructed taxonomies.

My work has been supported by the Swiss National Science Foundation, European Research Council and by the University of Fribourg.

Keywords

Clustering, community structure discovery, semantic web, ontology building, human-computer interaction, data visualization, clustering benchmarking, clustering quality measurement.

Jobs/Education

• Research Assistant in UNIFR (2014-nowadays)
• Startups (2012-nowadays)
• Lead/Senior Engineer & Project Leader in Samsung Ukraine R&D Center (2009-2012)
• System Developer in Symantec / PC Tools (2008-2009)
• QA and System Developer in Zoral Labs (2006-2008)
• MSc in Computer Science, specialization: Computer Systems and Networks. NTUU KPI, Ukraine (2005-2007)
• BSc in Computer Science, specialization: Computer Engineering. NTUU KPI, Ukraine (2001-2005)

Projects at XI-Lab

While at UNIFR I implemented or contributed to the projects including:

• DAOC: Accurate and Parameter-free Clustering of Large Networks
• Clubmark: a parallel isolation framework for benchmarking and profiling clustering algorithms
  • PyExPool: Python Multi-Process Execution Pool, a concurrent asynchronous execution pool with custom resource constraints (memory, timeouts, affinity, CPU cores and caching), load balancing and profiling capabilities of the external apps on NUMA architecture
  • xmeasures: extremely fast evaluation of the extrinsic clustering measures: (mean) F1 measures family and Omega Index (Fuzzy Adjusted Rand Index) for the multi-resolution clustering with overlaps, standard NMI, clusters labeling
  • GenConvNMI: Generalized Conventional Mutual Information
  • LFR-Benchmark_UndirWeightOvp: Extended version of the Lancichinetti-Fortunato-Radicchi Benchmark for Undirected Weighted Overlapping networks to evaluate clustering algorithms using generated ground-truth communities
• PyCaBeM: Python Benchmarking Framework for the Clustering Algorithms Evaluation
• HiReCS: parameter-free deterministic hierarchical clustering library
• ScienceWISE: a semantic layer on top of arXiv.org to browse and discover research papers

Publications

1. Artem Lutov, Dingqi Yang, and Philippe Cudré-Mauroux. “Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection.” In BigData, 2019. Bibtex PDF

   Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection

   Artem Lutov, Dingqi Yang, and Philippe Cudré-Mauroux. “Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection.” In BigData, 2019.

   @inproceedings{lutov2019bigdata2,
     author = {Lutov, Artem and Yang, Dingqi and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection},
     booktitle = {BigData},
     year = {2019},
     url = {https://exascale.info/assets/pdf/lutov2019bigdata2.pdf}
   }
   

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2. Artem Lutov, M. Khayati, and Philippe Cudré-Mauroux. “DAOC: Stable Clustering of Large Networks.” In BigData, 2019. Bibtex PDF

   DAOC: Stable Clustering of Large Networks

   Artem Lutov, M. Khayati, and Philippe Cudré-Mauroux. “DAOC: Stable Clustering of Large Networks.” In BigData, 2019.

   @inproceedings{lutov2019bigdata,
     author = {Lutov, Artem and Khayati, M. and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {DAOC: Stable Clustering of Large Networks},
     booktitle = {BigData},
     year = {2019},
     url = {https://exascale.info/assets/pdf/lutov2019bigdata.pdf}
   }
   

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3. Artem Lutov, M. Khayati, and Philippe Cudré-Mauroux. “Accuracy Evaluation of Overlapping and Multi-Resolution Clustering Algorithms on Large Datasets.” In Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019), 2019. Bibtex PDF

   Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets

   Artem Lutov, M. Khayati, and Philippe Cudré-Mauroux. “Accuracy Evaluation of Overlapping and Multi-Resolution Clustering Algorithms on Large Datasets.” In Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019), 2019.

   @inproceedings{lutov19bigcomp,
     title = {Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets},
     author = {Lutov, Artem and Khayati, M. and Cudré-Mauroux, Philippe},
     booktitle = {Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019)},
     year = {2019},
     url = {https://exascale.info/assets/pdf/bigcomp19r2-xmeasures.pdf}
   }
   

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4. Artem Lutov, Soheil Roshankish, M. Khayati, and Philippe Cudré-Mauroux. “StaTIX - Statistical Type Inference on Linked Data.” In IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018, 2253–62, 2018. Bibtex PDF

   StaTIX - Statistical Type Inference on Linked Data

   Artem Lutov, Soheil Roshankish, M. Khayati, and Philippe Cudré-Mauroux. “StaTIX - Statistical Type Inference on Linked Data.” In IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018, 2253–62, 2018.

   @inproceedings{statix18,
     author = {Lutov, Artem and Roshankish, Soheil and Khayati, M. and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {StaTIX - Statistical Type Inference on Linked Data},
     booktitle = {{IEEE} International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018},
     pages = {2253--2262},
     year = {2018},
     doi = {10.1109/BigData.2018.8622285},
     url = {https://exascale.info/assets/pdf/bigdata18_statix.pdf}
   }
   

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5. Artem Lutov, M. Khayati, and Philippe Cudré-Mauroux. “Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures.” In 2018 IEEE International Conference on Data Mining (ICDM), Demo Track, Singapore, Singapore, November 17-20, 2018, 1481–86, 2018. Bibtex Slides PDF

   Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures

   Artem Lutov, M. Khayati, and Philippe Cudré-Mauroux. “Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures.” In 2018 IEEE International Conference on Data Mining (ICDM), Demo Track, Singapore, Singapore, November 17-20, 2018, 1481–86, 2018.

   @inproceedings{clubmark18,
     author = {Lutov, Artem and Khayati, M. and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {Clubmark: {A} Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on {NUMA} Architectures},
     booktitle = {2018 {IEEE} International Conference on Data Mining (ICDM), Demo Track, Singapore, Singapore, November 17-20, 2018},
     pages = {1481--1486},
     year = {2018},
     doi = {10.1109/ICDMW.2018.00212},
     url = {https://exascale.info/assets/pdf/icdm18_clubmark.pdf},
     note = {https://www.slideshare.net/ArtemVL/clubmark-a-parallel-isolation-framework-for-benchmarking-and-profiling-clustering-algorithms-icdm18-demo-poster}
   }
   

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6. Andrea Martini, Artem Lutov, Valerio Gemmetto, Andrii Magalich, Alessio Cardillo, Alex Constantin, Vasyl Palchykov, et al. “ScienceWISE: Topic Modeling over Scientific Literature Networks.” ArXiv e-Prints, 2016. Bibtex PDF

   ScienceWISE: Topic Modeling over Scientific Literature Networks

   Andrea Martini, Artem Lutov, Valerio Gemmetto, Andrii Magalich, Alessio Cardillo, Alex Constantin, Vasyl Palchykov, et al. “ScienceWISE: Topic Modeling over Scientific Literature Networks.” ArXiv e-Prints, 2016.

   @article{ScienceWISE16a,
     title = {ScienceWISE: Topic Modeling over Scientific Literature Networks},
     author = {Martini, Andrea and Lutov, Artem and Gemmetto, Valerio and Magalich, Andrii and Cardillo, Alessio and Constantin, Alex and Palchykov, Vasyl and Khayati, M. and Cudré-Mauroux, Philippe and Boyarsky, Alexey and Ruchayskiy, Oleg and Garlaschelli, Diego and Rios, Paolo De Los and Aberer, Karl},
     journal = {ArXiv e-prints},
     archiveprefix = {arXiv},
     eprint = {1612.07636},
     primaryclass = {cs.DL},
     url = {https://arxiv.org/pdf/1612.07636},
     year = {2016}
   }
   

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