Emil Laftchiev

Emil Laftchiev
  • Biography

    Emil's research interests are in the identification of efficient storage methods using dimension reducing data features. The purpose of this research is to enable rapid continuous localization within the data. Of particular importance to this research is the effect of various uncertainties on the stored data features and on the localization process. Emil has received several speaking awards for presenting his research at the American Control Conference and the College of Engineering Research Symposium at the Pennsylvania State University. Prior to joining MERL Emil served as a Distinguished Teaching Fellow for the College of Engineering at the Pennsylvania State University.

  • MERL Publications

    •  DeRousseau, M.A., Laftchiev, E., Kasprzyk, J.R., Balaji, R., Srubar III, W.V., "Machine Learning Methods for Predicting the Field Compressive Strength of Concrete", Construction And Building Materials, DOI: 10.1016/j.conbuildmat.2019.08.042, Vol. 228, December 2019.
      BibTeX Download PDFAbout TR2019-096
      • @article{DeRousseau2019dec,
      • author = {DeRousseau, Mikaela, A. and Laftchiev, Emil and Kasprzyk, Joseph, R. and Balaji, Rajagopalan and Srubar III, Wil V.},
      • title = {Machine Learning Methods for Predicting the Field Compressive Strength of Concrete},
      • journal = {Construction And Building Materials},
      • year = 2019,
      • volume = 228,
      • month = dec,
      • doi = {10.1016/j.conbuildmat.2019.08.042},
      • url = {https://www.merl.com/publications/TR2019-096}
      • }
    •  Zhang, W., Jha, D., Laftchiev, E., Nikovski, D.N., "Multi-label Prediction in Time Series Data using Deep Neural Networks", International Journal for Prognostics and Health Management Special Issue on Applications of Deep Learning and Emerging Analytics, September 2019.
      BibTeX Download PDFAbout TR2019-110
      • @article{Zhang2019sep2,
      • author = {Zhang, Wenyu and Jha, Devesh and Laftchiev, Emil and Nikovski, Daniel N.},
      • title = {Multi-label Prediction in Time Series Data using Deep Neural Networks},
      • journal = {International Journal for Prognostics and Health Management Special Issue on Applications of Deep Learning and Emerging Analytics},
      • year = 2019,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2019-110}
      • }
    •  Natarajan, A., Laftchiev, E., "A Transfer Active Learning Framework to Predict Thermal Comfort", International Journal of Prognostics and Health Management Special Issue on PHM for Human Health & Performance, December 2018.
      BibTeX Download PDFAbout TR2018-156
      • @article{Natarajan2018dec,
      • author = {Natarajan, Annamalai and Laftchiev, Emil},
      • title = {A Transfer Active Learning Framework to Predict Thermal Comfort},
      • journal = {International Journal of Prognostics and Health Management Special Issue on PHM for Human Health & Performance},
      • year = 2018,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2018-156}
      • }
    •  Laftchiev, E., Sun, X., Dau, H.-A., Nikovski, D.N., "Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables", International Workshop on Principle of Diagnosis, August 2018.
      BibTeX Download PDFAbout TR2018-128
      • @inproceedings{Laftchiev2018aug,
      • author = {Laftchiev, Emil and Sun, Xinmaio and Dau, Hoang-Anh and Nikovski, Daniel N.},
      • title = {Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables},
      • booktitle = {International Workshop on Principle of Diagnosis},
      • year = 2018,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2018-128}
      • }
    •  Laftchiev, E., Liu, Y., "Finding Multidimensional Patterns in Multidimensional Time Series", SIGKDD Workshop on Mining and Learning From Time Series, August 2018.
      BibTeX Download PDFAbout TR2018-044
      • @inproceedings{Laftchiev2018aug2,
      • author = {Laftchiev, Emil and Liu, Yuchao},
      • title = {Finding Multidimensional Patterns in Multidimensional Time Series},
      • booktitle = {SIGKDD Workshop on Mining and Learning From Time Series},
      • year = 2018,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2018-044}
      • }
    See All Publications for Emil
  • Other Publications

    •  E.I. Laftchiev, C.M. Lagoa and S.N. Brennan, "Vehicle Localization Using In-Vehicle Pitch Data and Dynamical Models", Intelligent Transportation Systems, IEEE Transactions on, Vol. 16, No. 1, pp. 206-220, Feb 2015.
      BibTeX
      • @Article{6863698,
      • author = {Laftchiev, E.I. and Lagoa, C.M. and Brennan, S.N.},
      • title = {Vehicle Localization Using In-Vehicle Pitch Data and Dynamical Models},
      • journal = {Intelligent Transportation Systems, IEEE Transactions on},
      • year = 2015,
      • volume = 16,
      • number = 1,
      • pages = {206--220},
      • month = {Feb}
      • }
    •  E. Laftchiev, C. Lagoa and S. Brennan, "Robust data map design using chance constrained optimization", American Control Conference (ACC), 2014, June 2014, pp. 4573-4580.
      BibTeX
      • @Inproceedings{6858839,
      • author = {Laftchiev, E. and Lagoa, C. and Brennan, S.},
      • title = {Robust data map design using chance constrained optimization},
      • booktitle = {American Control Conference (ACC), 2014},
      • year = 2014,
      • pages = {4573--4580},
      • month = jun
      • }
    •  E. Laftchiev, C. Lagoa and S. Brennan, "Multi-attribute data dynamics discontinuity identification: A probabilistic approach using linear modeling", Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on, Dec 2014, pp. 5666-5673.
      BibTeX
      • @Inproceedings{7040276,
      • author = {Laftchiev, E. and Lagoa, C. and Brennan, S.},
      • title = {Multi-attribute data dynamics discontinuity identification: A probabilistic approach using linear modeling},
      • booktitle = {Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on},
      • year = 2014,
      • pages = {5666--5673},
      • month = {Dec}
      • }
    •  E. Laftchiev, C. Lagoa and S. Brennan, "Robust map design by outlier point selection for terrain-based vehicle localization", Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on, Dec 2013, pp. 2822-2827.
      BibTeX
      • @Inproceedings{6760311,
      • author = {Laftchiev, E. and Lagoa, C. and Brennan, S.},
      • title = {Robust map design by outlier point selection for terrain-based vehicle localization},
      • booktitle = {Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on},
      • year = 2013,
      • pages = {2822--2827},
      • month = {Dec}
      • }
    •  E. Laftchiev, C. Lagoa and S. Brennan, "Terrain-based vehicle localization from real-time data using dynamical models", Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, Dec 2012, pp. 3366-3371.
      BibTeX
      • @Inproceedings{6426351,
      • author = {Laftchiev, E. and Lagoa, C. and Brennan, S.},
      • title = {Terrain-based vehicle localization from real-time data using dynamical models},
      • booktitle = {Decision and Control (CDC), 2012 IEEE 51st Annual Conference on},
      • year = 2012,
      • pages = {3366--3371},
      • month = {Dec}
      • }
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