Tatjana Lange

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Tatjana Lange

Tatjana Ivanovna Lange (born April 28, 1949 in Dushanbe ) is a German engineer and professor of control engineering . It is dedicated to the training of engineers in the field of automation for process engineering / control engineering as well as research on the modeling of stochastic systems and statistics .

Career

Tatiana Lange was born as Tatiana Ivanovna Vasileva in 1949 in Dushanbe (capital of Tajikistan ). Her mother was an orientalist and linguist (Arabic, Persian, Tajik, Uzbek etc.), her father was an agricultural expert especially for the Central Asian vegetation area. Her 16 years older brother Vladimir I. Vasilev was a rocket engineer and later a professor of pattern recognition and control learning at the Ukrainian Academy of Sciences (President: Borys Paton ) in Kiev.

Tatjana Lange grew up in Kiev ( Ukraine ). Here she attended school and then studied automation and telecontrol technology at the National Ukrainian Technical University of Kiev (KPI). In 1973 she obtained the academic degree of graduate engineer there .

Tatjana Lange has been married to Jörg Lange since 1972. The couple has one grown son.

From 1973 to 1978 she worked as a research assistant at the Kiev Cybernetic Institute of the Ukrainian Academy of Sciences. The work with her academic teacher AG Ivachnenko was formative for her further professional activity. Here she got to know completely new approaches to automating processes. In particular, she was involved in the development of algorithms for self-organizing modeling methods, especially for the "Group Method of Data Handling (GMDH)"

From 1978 to 1986, Lange worked as a scientific assistant and aspirant at the TH Ilmenau at the chair of Karl Reinisch in the section Technical and Biomedical Cybernetics (TBK).

During this time, she devoted her research to special investigations into structural modeling in the event of a lack of data, since 1986 with the focus on developing new structure selection criteria .

During these years she also taught in the fields of "control engineering" and "introduction to cybernetics".

1983 Long defended at Karl Reinisch her dissertation on the subject of structural modeling with small amounts of data ( Promotion for Doctor engineer , Dr.-Ing.).

From 1986 to 1989, Lange worked as a research assistant at the Central Institute for Cybernetics and Information Processes (ZKI) of the Academy of Sciences of the GDR in Berlin (Director: Volker Kempe ). At the ZKI, she deepened her investigations into the suitability of structural selection criteria.

In 1989, Lange returned to higher education and became a senior scientific assistant at the engineering college or technical college for technology and economics in Berlin, today HTW Berlin . In addition to the associated teaching activity, she devoted herself to research in the field of "stochastic processes".

Her teaching activities included the areas of automation technology, control technology, stochastic processes in linear and non-linear control loops, process analysis / simulation, mathematics for engineers and statistics.

Working as a professor

University of Merseburg - main building on campus

In 1995 she was appointed professor for automation technology with a specialization in control engineering at the Merseburg University of Applied Sciences , Department of Electrical Engineering .

The higher education of long lectures including in particular in the fields of control engineering , modeling and simulation and nonlinear control. Here she helped shape the training of graduate engineers in the rather rare specialization for automation systems for process engineering processes in the German-speaking region . In cooperation with her professor colleagues Werner Kriesel , Frank Sokollik , Peter Helm and Rainer Winz , extensive internship facilities have been created at the level of industry-related automated systems for process engineering and air conditioning, which represent a unique selling point compared to comparable higher education institutions in German-speaking countries.

As a university lecturer, Tatjana Lange combined her research activities in particular with the promotion of young Ukrainian junior scientists, working closely with her professor colleague Karl Mosler from the University of Cologne . Representative of this international academic promotion work are three successfully completed doctoral procedures from Kiev young scientists at the University of Cologne. Together with Karl Mosler , Tatjana Lange also wrote a broad textbook for economists and engineers entitled Statistics Compact .

Since the beginning of her research work at AG Ivachnenko and Karl Reinisch, Lange has focused on the problems of developing and improving selection criteria for artificial neural networks (machine / control learning), for classification , pattern recognition as well as for prognosis and control purposes. Your field of work ranges from validation criteria on issues of functional regularization ( Andrei Nikolaevich Tikhonov , Stephen Hawking ) to transformations geometric criteria ( Lev Pontryagin , LI Rozonoer , VI Vasilev ).

In addition to national and international specialist lectures, her scientific publications include numerous proceedings as well as participation in several book publications and a large number of specialist articles.

Publications (selection)

  • A contribution to the structural modeling of small amounts of data using the method of group-wise acquisition of the arguments. Dissertation, TH Ilmenau, 1983.
  • For the selection of suitable criteria for the structure search in modeling tasks. Knowledge Z. TH Ilmenau 33 (1987), No. 2, pp. 67-78 (with K. Gnatowski, S. Umbreit).
  • Methods and criteria for modeling with structure search under conditions of uncertainty. Knowledge Z. TH Ilmenau 34 (1988), No. 4, pp. 77-88.
  • A New Approach for Structural Modeling. Proceedings of the Int. Symp. System Analysis and Simulation in Math. Research, vol. 46, pp. 137-140, Berlin 1988.
  • Multi-criterial Decision Approach to Structural Modeling with Uncertainty Conditions. Syst.Anal.Model.Simul. (SAMS), Berlin 6 (1989) 2, pp. 147-154.
  • Structural criteria for short samples. Knowledge Z. TH Ilmenau, 36 (1990), No. 3, pp. 111-122.
  • Automatic selection of optimal model structures for the identification of non-linear systems in the event of uncertainty. Operations Research Proceedings, Papers of the 21st Annual Meeting of DGOR in Cooperation with ÖGOR, Springer-Verlag, 383-390 (1992).
  • New Structure Criteria in GMDH. In: H. Bozdogan (ed.): Proceedings of the First US / Japan Conference on the Frontiers of Statistical Modeling: An Information Approach, 249-266. Kluwer Academic Publishers 1994.
  • A new principle for the creation of validation criteria for the selection of model structures with insufficient data quality. Operations Research Proceedings, Papers of the 22nd Annual Meeting of DGOR in Cooperation with NSOR, 1993, Springer-Verlag, 343-349 (1994).
  • Investigation of the prognostic abilities of selected selection criteria with insufficient data quality. Proceedings of the 39th Internat. Knowledge Colloquium of the Technical University of Ilmenau, September 27-30, 1994, Volume 3, pp. 74-79 (with J. Voigt).
  • Structure Criteria for Automatic Model Selection in Multilayered GMDH Algorithms in Case of Uncertainty of Data. 'Systems Analysis - Modeling - Simulation (SAMS)', 1995, Vol. 20, pp. 79-91
  • A Cluster-Analytical Approach to the Modeling of Non-Linear Systems. Annual meeting of DGOR and GMÖOR, Braunschweig, 4. – 6. Sept. 1996. Operations Research Proceedings, Papers of the 25th Annual Meeting of DGOR, 1996, Springer-Verlag, (1997) (with VI Vasil'ev and S. Schlorf).
  • Identification of hidden information in teaching sequences (ukr.). Vseukrainskaya Meshdunarodnaya Tagungsiya po Obrabotke signalov i isobrashenii i raspoznovaniju obrazov. Kiev 1998. Proceedings, pp. 53–54 (with VI Vasil'ev and NM Kobets).
  • The principle of duality in the teaching problem in pattern recognition (Russian). Kibernetika i vytschislit'elnaya technika 1998. Vyp. 121, p. 7-16 (with VI Vasilev).
  • Interpretation of fuzzy terms (Russian). VIII. Meshdunarodnaya Tagungsiya 1999. KDS 99. Kiazjaveli (Crimea). Proceedings, pp. 183–187 (with VI Vasil'ev and AE Baranoff).
  • Reduction theory for identification tasks (Russian). Proceedings of International Conference on Control: Automatics-2000. Lviv 11-15 September 2000. Section 2. pp. 49-53 (with VI Vasil'ev).
  • A new principle of forming validation criteria for selection algorithms using GMDH. Proceedings of International Conference on Inductive Modeling (ICIM-2002), Lviv May 20 - 25, Section 1, pp. 62-67.
  • Взаимодополняемость метода групового учота аргументов (МГУА) и метода предельных упрощений (МПУ). Proceedings of International Conference on Inductive Modeling (ICIM-2002), Lviv May 20 - 25, Section 1, pp. 68 - 71 (with VI Vasil'ev).
  • Прогнозирование сложных процессов и систем. Proceedings of International Conference on Inductive Modeling (ICIM-2002), Lviv May 20 - 25, Section 1, pp. 77 - 83 (with AA Pavlov, VN Tomaschevskij, NM Kobez).
  • Criterions of model selection in multiserial algorithms of a group method of data handling. Scientific News NTUU "KPI", 2002, no. 5, pp. 129 - 135, (with AA Pavlov, VN Tomaschevskij, NM Kobez).
  • Computing zonoid drimmed regions of dimension. Computational Statistics & Data Analysis, Volume 53, Issue 7 (2009), pp. 2500-2510 (with K. Mosler, T. Bazovkin).
  • Определение глубины на многомерных выборках (Depth determination for multivariate samples). Індуктивне моделювання складних систем, Збірник наукових праць, 2010, pp. 101-119 (with P. Mozharovskyi).
  • The Alpha-Procedure - a non-parametric invariant method for automatic classification of d-dimensional objects. Proceedings of the 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery. Hildesheim, August 1–3, 2012, (with P. Mozharovskyi).
  • DDα-classification of asymmetric and fat-tailed data. Proceedings of the 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery. Hildesheim, August 1–3, 2012, (with K. Mosler, P. Mozharovskyi).
  • Fast nonparametric classification based on data depth. Workshop "Robust Methods for Dependent Data" (invited paper), Statistical Papers, Vol. 53, No. 4, Springer-Verlag, Nov. 2012 (with K. Mosler, P. Mozharovskyi).
  • Эффективная глубинная классификация с помощью проективного инварианта классовой классификация с помощью проективного инварианта классовой принадлежностari project membership efficiency. Управляющие системы и машины (Control Systems and Machines), Kiev, 2013, 47–58 (with K. Mosler, P. Mozharovskyi).
  • Efficient supervised learning with the DD classifier. Proceedings of 4th International Conference on Inductive Modeling (ICIM 2013), Kyiv, pp. 79-88 (with K. Mosler and P. Mozharovskyi).
  • Penalty, metric and validation - three principles of classifying selection criteria for the reconstruction of dependencies from empirical data. Proceedings of 4th International Conference on Inductive Modeling, ICIM 2013, Kyiv, pp. 42-50.
  • Classifying real-world data with the DD procedure. Advances in Data Analysis and Classification (ADAC), September 2015, Volume 9, Issue 3, pp 287-314 (with K. Mosler and P. Mozharovskyi).
  • Tatjana Lange, Karl Mosler : Statistics compact. Basic knowledge for economists and engineers. Springer textbook. Springer Gabler, Berlin; Heidelberg 2017, ISBN 978-3-662-53466-3 , ISBN 978-3-662-53467-0 (eBook).
  • Jörg Lange, Tatjana Lange: Fourier transformation for signal and system description. Compact, visual, intuitively understandable. Springer Vieweg, Wiesbaden 2019, ISBN 978-3-658-24849-9 , ISBN 978-3-658-24850-5 (eBook).
  • Jörg Lange, Tatjana Lange: Mathematical Foundations of Digitization. Compact, visual, intuitively understandable. Springer Vieweg, Wiesbaden 2019, ISBN 978-3-658-26685-1 , ISBN 978-3-658-26686-8 (eBook).

literature

Web links

Individual evidence

  1. ^ SJ Farlow: Self-Organizing Methods in Modeling (dedicated to Prof. AG Ivakhnenko's seventieth birthday). Marcel Dekker, Inc., New York and Basel 1984.
  2. ^ Johann-Adolf Müller: 90th birthday of Prof. AG Ivachnenko. Automation technology, Munich. Vol. 51, No. 6, 2003, pp. 295-296.
  3. ^ Karl Reinisch : Cybernetic basics and description of continuous systems . Verlag Technik, Berlin 1974.
  4. ^ Continuation of these lectures by Tatjana Lange after her retirement by the professor colleague Bernhard Bundschuh .
  5. ^ Karl Mosler , Friedrich Schmid: Probability calculation and conclusive statistics. 4th edition. Springer-Verlag, Berlin; Heidelberg 2011, ISBN 978-3-642-15009-8 .
  6. ^ RL Barron, CW Gwinn: Application of Self-Organizing and Learning Control to Aeronautical and Industrial Systems. Proceedings ASME Design Engineering Conference, NJ, 1971 (ASMEpaper No. 71-De-22).
  7. ^ HH Bock: Automatic classification. Vandenhoeck & Ruprecht, Göttingen 1974, ISBN 3-525-40130-2 .
  8. ^ NA Vapnik, A. Ya. Chervonenkis: The Theory of Pattern Recognition. Nauka, Moscow 1974.
  9. ^ VI Vasilev: Recognition Systems (in Russian). Naukova Dumka, Kiev 1983.
personal data
SURNAME Lange, Tatiana
ALTERNATIVE NAMES Lange, Tatiana Ivanovna (full name); Vasileva, Tatiana Ivanovna
BRIEF DESCRIPTION German engineer and university professor for control engineering
DATE OF BIRTH April 28, 1949
PLACE OF BIRTH Dushanbe