Phone: +49 421 200 3081
Mail: a.lyutov (at) jacobs-university.de
Position: Ph.D. student

CV

Alexey finished his bachelor and master studies in applied mathematics at the Novosibirsk State University in 2015. In 2012-2017 he has been working as a research engineer developing a CFD software that optimizes hydraulic turbines. In 2017 he started a PhD research at Jacobs University Bremen. The research is focused on data science (NLP, automatization, exception detection, data cleaning) in logistics and scientometrics.

Research

Research interests: machine learning, natural language processing, optimization methods, mathematical modeling, automatization.

Recent Publications

                    @article{lyutov2021local,
 author = {Lyutov, Alexey and Uygun, Yilmaz and Hütt, Marc-Thorsten},
 journal = {Applied Network Science},
 title = {Local topological features of robust supply networks},
 year = {2022}
}


                

                    @article{lyutov2021machine,
 author = {Lyutov, Alexey and Uygun, Yilmaz and Hütt, Marc-Thorsten},
 journal = {Scientometrics},
 number = {2},
 pages = {1173--1186},
 publisher = {Springer International Publishing},
 title = {Machine learning misclassification of academic publications reveals non-trivial interdependencies of scientific disciplines},
 volume = {126},
 year = {2021}
}


                

                    @article{lyutov2019managing,
 author = {Lyutov, Alexey and Uygun, Yilmaz and Hütt, Marc-Thorsten},
 journal = {Computers in Industry},
 pages = {215--225},
 publisher = {Elsevier},
 title = {Managing workflow of customer requirements using machine learning},
 volume = {109},
 year = {2019}
}