Prof. Dr. Sonja Kuhnt

Professional career

• since 2013 Professor of Mathematical Statistics, Faculty of Computer Science, Fachhochschule Dortmund
• 2008 - 2013 Substitute Professor, Faculty of Statistics, Dortmund University of Technology
• 2006 - 2008 Assistant Professor, Department of Mathematics and Computer Science, Eindhoven University of Technology
• 1998 - 2006 Research Assistant, Chair of Mathematical Statistics and Industrial Applications, Faculty of Statistics, University of Dortmund
• 1998 - 1999 Doctoral scholarship from the Alfred Krupp v. Bohlen und Halbach Foundation, University of Dortmund
• 1995 - 1998 Doctoral scholarship in the research training group "Applied Statistics", University of Dortmund

Postgraduate training

• Habilitation (Statistics), University of Dortmund, 2006, Supervisors: Prof. U. Gather, Prof. N. Wermuth
• Doctorate (Dr.rer.nat. (Statistics), University of Dortmund, 2000, referees: Prof. U. Gather, Prof. J. Hartung
• Diploma (Statistics with minor in Sociology), University of Dortmund, 1995

Miscellaneous

• Member of the Editorial Board of Computational Statistics and Data Analysis (since 2018)
• Member of the Editorial Board of Statistical Papers (since 2018)
• Director of the European Network for Business and Industrial Statistics (since 2019)
• Member of the German Statistical Society
• Member of the Society for Classification

• Intelligent support for project- and problem-oriented teaching and integration into study processes (IPPOLIS(Opens in a new tab) )

  The project aims to strengthen AI learning content at FB4 and to promote problem- and practice-oriented learning across departments through new AI-using learning support.

  This includes the following four goals/measures:

  Support of formal learning processes through so-called scaffolds that adaptively accompany essential phases/activities of learning,
  Process support for case studies (in statistics/data mining),
  Support in the writing process of scientific papers through automated feedback, for example on the completeness of literature and cross-references, and
  Promoting and simplifying interaction between students, lecturers and student administration by creating additional advisory services based on intelligent chatbots.

  Funded by: "Artificial Intelligence in Higher Education" funding initiative (BMBF), duration: 12.2021 - 11.2025
  
  
• Modelling and control of thermokinetic coating processes
  
  The project deals with the statistical modelling and day-specific optimization of thermal spray processes.
  
  Project management together with: Prof. Dr. Wolfgang Tillmann, Chair of Materials Technology, TU Dortmund University
  Collaboration in the Department of Computer Science: Dr. Arkadius Kalka, Eva-Christina Becker-Emden (PhD student), Ahmad Idrissi-Yaghir
  SFB 823: Statistics of nonlinear dynamic processes,
  Funded by: DFG, Duration: 2009-2021
  
  
• Creation of short learning videos on the topic of statistics
  
  The videos focus on the practical application of statistical methods. Typical tasks (e.g. construction of a histogram, execution of a statistical test) are demonstrated, supplemented by comments and short repetitions of the theoretical basics.
  
  Project management together with Dr. Nadja Bauer
  Collaboration in the Faculty of Computer Science: Lara Kuhlmann de Canaviri, Pavel Gutkin, Alina Bernstein
  Funded by: HILF (Fachhochschule Dortmund), duration: 2020-2022

• Sensitivity analysis and characteristic curve development using the example of a logistical system
  
  The project develops multidimensional characteristic curves of logistical operating variables using a production logistics simulation model as an example. This is achieved through the use of statistical experimental design and modeling methods.
  
  External cooperation partner: Prof. Dr. Sigrid Wenzel, Department of Product Organization and Factory Planning, University of Kassel
  
  Funded by: HIFF 2020-1 (Fachhochschule Dortmund), Duration: 2020

• Case study experiments in applied statistics
  
  The project is developing a portfolio of case study experiments for use in applied statistics courses. The students should work independently as a team on the course of a statistical project from the question to the planning, execution and analysis of an experiment to the interpretation of results.
  
  Supported by: HILF (Fachhochschule Dortmund), Duration: 2019-2020

• Optimization of the autoclaving process to reduce production costs and increase the quality of sand-lime bricks by means of statistical experimental design
  
  The project deals with the optimization of the manufacturing process for sand-lime bricks with regard to resource efficiency, in particular energy efficiency.
  
  Project management together with: Dr. Wolfgang Eden, Head of Research/Production Technology at Bundesverband Kalksandsteinindustrie e.V. and Prof. Dr. Bernhard Middendorf, Head of the Department of Construction Materials and Construction Chemistry, University of Kassel
  
  Funded by: BMWI, AIF, Duration: 2015-2018

• Research Training Group 1032: Statistical Modeling
  
  Funded by: DFG, Duration: 2004-2006, 2009-2013

• Optimized selection of logistic operating strategies based on simulation models for logistic plants using statistical design of experiments and data analysis
  
  Project in the DFG standard procedure
  
  Funded by: DFG, Duration: 2010-2013

• Methods of information retrieval
  
  in SFB 559: Modeling of large logistics networks
  
  Funded by: DFG, Duration: 2004-2007

• Individual task 2121 Annoyance of combined traffic noise sources - Statistics
  
  in the research network "Quiet Traffic", area 2000 - Noise effects
  
  Funded by: BMBF, duration: 2003-2005

2021

• Tillmann, W., Baumann, I., Brinkhoff, A., Kuhnt, S., Becker-Emden, E.-C., Kalka, A. (2021) Effect of the Spray Parameters on the Particle Behavior and the Coating Properties During ID Warm Spraying of Fine WC-12Co Powders (-10 + 2 μm). Thermal Spray 2021: Proceedings from the International Thermal Spray Conference, 283-289, https://doi.org/10.31399/asm.cp.itsc2021p0283
• Kuhnt, S, Becker-Emden, E-C, Schade, T, Eden, W, Middendorf, B. (2021) Use of optimal mixture-process designs and response-surface models to study properties of calcium silicate units. Qual Reliab Engng Int. 37, 391-408. 1- 18. https://doi.org/10.1002/qre.2754

2020

• Kuhnt, S., Kirchhoff, D,, Wenzel, S., Stolipin, J. (2020). Generating Logistic Characteristic Curves using Discrete Event Simulation and Response Surface Models, SNE 30(3), 95--104, DOI: 10.11128/sne.30.tn.10522
• Kirchhoff, D, Kuhnt, S, Bloch, L, Müller, CH. (2020). Detection of circlelike overlapping objects in thermal spray images. Qual Reliab Engng Int. 36, 2639-2659. https://doi.org/10.1002/qre.2689
• Schade, T., Middendorf, B., Eden, W., Kuhnt, S., Becker-Emden, E.-C. (2020), "Raising the quality of calcium silicate units with simultaneous reduction of production costs using Statistical Design of Experiments (DoE) ". ZKG INTERNATIONAL ISSUE 3, 35-42

2019

• Kuhnt, S., Tillmann, W., Brinkhoff, A., Becker-Emden, E.-C. (2019), "Durable machine parts: How statistical design of experiments optimizes wear protection", in Krämer, W., Weihs, C. (Eds.). Fascination Statistics, Springer, Berlin Heidelberg, 164-171
• Fruth, J., Roustant, O., Kuhnt, S. (2019) "Support indices: Measuring the effect of input variables over their supports", Reliability Engineering & System Safety,187,17-27

2017

• Dette, H., Hoyden, L., Kuhnt, S., Schorning, K. (2017), "Optimal designs for thermal spraying", Journal of the Royal Statistical Society, Ser. C, 66(1), 53-72, doi: 10.1111/rssc.12156

2016

• Dette, H., Hoyden, L., Kuhnt, S., Schorning, K. (2016), "Optimal designs for thermal spraying", Journal of the Royal Statistical Society, Ser. C, doi: 10.1111/rssc.12156.
• Kuhnt, S., Halstrup, M., Rudak, N., Jastrow, M., Bloch, L. (2016), "Analysis of Computer Experiments with FANOVA Graphs and the Optimization Algorithm ParOF", in: Publication Series of the Faculty of Computer Science at Fachhochschule Dortmund, Vol. 2, eds. B. Böckmann, R. Preis, A. Schmidtmann, MV-Wissenschaft, 119-130.
• Kuhnt, S., Rehage, A. (2016), "An angle-based multivariate functional pseudo-depth for shape outlier detection", Journal of Multivariate Analysis 146, 325-340.
• Kuhnt, S., Rehage, A., Becker-Emden, C., Tillmann, W., Hussong, B. (2016), "Residual analysis in generalized function-on-scalar regression for an HVOF spraying process", Quality and Reliability Engineering International, doi: 10.1002/qre.2018 .
• Rudak, N., Kuhnt, S., Riccomagno, E. (2016), "Numerical algebraic fan of a design for statistical model building", Statistica Sinica 26, 1021-1035.

2015

• Fruth, J., Roustant, O., Kuhnt, S. (2015), "Support indices: Measuring the effect of input variables over their support". https://hal.archives-ouvertes.fr/hal-01113555.
• Fruth, J., Roustant, O., Kuhnt, S. (2015), "Sequential designs for sensitivity analysis of functional inputs in computer experiments". Reliability Engineering & System Safety 134, 260-267.
• Rudak, N., Hussong, B., Kuhnt, S. (2015), "Simultaneous Optimization of Multiple Correlated Responses with Application to a Thermal Spraying Process", Quality and Reliability Engineering International, 31(7), 1223-1238.

2014

• Rehage, A., Kuhnt, S. (2014), "An angle-based functional depth measure for outlier detection", in Contributions in Infinite-Dimensional Statistics and Related Topics, eds. E. G. Bongiorno, E. Salinelli, A. Goia, P. Vieu, Bologna: Società Editrice Esculapio, pp. 233-238.
• Roustant, O., Fruth, J., Iooss, B., Kuhnt, S. (2014): "Crossed-Derivative Based Sensitivity Measures for Interaction Screening", Mathematics and Computers in Simulation. DOI: 10.1016/j.matcom.2014.05.005 .
• Fruth, J., Roustant, O., Kuhnt, S. (2014), "Total Interaction Index: A Variance-based Sensitivity Index for Second-order Interaction Screening", Journal of Statistical Planning and Inference 147, 212-223.
• Rudak, N., Kuhnt, S., Riccomagno, E. (2014), "Modeling of a thermal spraying process by Gaussian chain graph models", Quality Technology and Quantitative Management, 11 (1), 85-98.
• Borowski, M., Rudak, N., Hussong, B., Wied, D., Kuhnt, S., Tillmann, W. (2014), "On- and offline detection of structural breaks in thermal spraying processes", Journal of Applied Statistics, 41 (5), 1073-1090.
• Kuhnt, S., Rapallo, F., Rehage, A. (2014), "Outlier detection in contingency tables based on minimal patterns", Statistics and Computing 24 (3), 481-491.

2013

• Tillmann, W., Hussong, B., Priggemeier, T., Kuhnt, S., Rudak, N., Weinert, H. (2013), "Influence of Parameter Variations on WC-Co Splat Formation in an HVOF Process Using a New Beam-Shutter Device", Journal of Thermal Spray Technology, 22(2)-(3), 250-262.
• Kuhnt, S., Rudak, N. (2013), "Simultaneous optimization of multiple responses with the R-package JOP", Journal of Statistical Software, 54(9).
• Borowski, M., Rudak, N., Hussong, B., Wied, D., Kuhnt, S., Tillmann, W. (2013), "On- and offline detection of structural breaks in thermal spraying processes", Discussion Paper 02/13, SFB 823, Technische Universität Dortmund.
• Chouikha, H., Kuhnt, S., Langovaya, A. (2013), "Correspondence analysis in the case of outliers", Classification and Data Mining, Springer Series: Studies in Classification, Data Analysis and Knowledge Organization, 63-70
• Draisma, J., Kuhnt, S., Zwiernik, P. (2013), "Groups acting on Gaussian graphical models", Annals of Statistics, 41 (4), 1944-1969.
• Kuhnt, S., Rehage, A. (2013), "The concept of α-outliers in structured data situations", in Robustness and Complex Data Structures, Festschrift in Honour of Ursula Gather, eds. C. Becker, R. Fried, S. Kuhnt, Springer.
• Langovaya, A., Kuhnt, S., Chouikha, H. (2013), "Correspondence analysis in the case of outliers", in Classification and Data Mining, eds. A. Giusti, G. Ritter, M. Vichi, Springer Series: Studies in Classification, Data Analysis, and Knowledge Organization, 63-70.
• Rudak, N., Kuhnt, S., Riccomagno, E. (2013), "Numerical algebraic fan of a design for statistical model building", Discussion Paper 04/13, SFB 823, Technische Universität Dortmund.

2012

• Fruth, J., Kuhnt, S. (2012), "Sensitivity Analysis and FANOVA Graphs for Computer Experiments", SIS Scientific Meeting 2012.
  ul Hassan, H., Ivanov, M., Fruth, J., Kuhnt, S., Kolbe, J., Tekkaya, A.E. (2012), "Planning and Analysis of FE Simulations of Sheet Metal Forming Processes with Functional Input", in SFB 708 - 5th Public Colloquium, Dortmund, eds. W. Tillmann, J. Nebel, pp. 173-183.
• Hussong, B., Tillmann, W., Kuhnt, S., Rudak, N., Rehage A. (2012), "Vergleich unterschiedlicher Strategien zur Prozessmodellierung beim HVOF thermischen Spritzen", in Tagungsband zum 15. Werkstofftechnischen Kolloqium, ed. B. Wielage, Chemnitz, 68-73.
• Mühlenstädt, T., Gösling, M., Kuhnt, S. (2012), "How to choose the simulation model for computer experiments: a local approach", Applied Stochastic Models in Business and Industry, 28(4), 354-361.
• Rehage, A., Rudak, N., Hussong, B., Kuhnt, S., Tillmann, W. (2012), "Prediction of in-flight particle properties in thermal spraying with additive day-effects", Discussion Paper 06/12, SFB 823, Technische Universität Dortmund.
• Rudak, N., Kuhnt, S., Hussong, B., Tillmann, W. (2012), "On different strategies for the prediction of coating properties in a HVOF process", Discussion Paper 29/12, SFB 823, Technische Universität Dortmund.
• Tillmann, W., Hussong, B., Kuhnt, S., Rehage, A., Rudak, N. (2012), "Einführung eines Tageseffekt-Schätzers zur Verbesserung der Vorhersage von Partikeligenschaften in einem HVOF-Spitzstrahl", Thermal Spray Bulletin, 5(2), 132-139.
• Tillmann, W., Hussong, B., Priggemeier, T., Kuhnt, S., Rudak, N., Weinert, H. (2012), "Influence of Parameter Variations on WC-Co Splat Formation in an HVOF Process Using a New Beamer Cutter Device", in Proceedings of the International Thermal Spray Conference, ed ASM International, Ohio, USA, 12-21.

2011

• Erdbrügge, M., Kuhnt, S., Rudak, N. (2011), "Joint optimization of independent multiple responses", Quality and Reliability Engineering International, 27, 689-703, doi: 10.1002/qre.1229 .
• Fruth, J., Ivanov, M., ul Hassan, H., Witulski, J., Kuhnt, S., Brosius A. (2011): Development of an FE simulation of sheet metal forming processes with time-dependent parameter selection, in SFB 708 - 4th public colloquium, eds. W. Tillmann and J. Nebel, Dortmund, 189-199.
• Gather, U., Kuhnt, S., Mühlenstädt, T. (2011), "Industrial Statistics", International Encyclopedia of Statistical Science, ed. M. Lovric, Springer.
• Gösling, M, Kracker, H., Brosius, A., Kuhnt, S., Tekkaya, A.E. (2011), "Strategies for Springback Compensation Regarding Process Robustness", Production Engineering - Research and Development, 5, 49-57.
• Krampe, A., Kateri, M., Kuhnt, S. (2011), "Asymmetry Models for Square Contingency Tables: Exact Tests via Algebraic Statistics", Statistics and Computing, 21, 55-67.
• Mühlenstädt, T., Gösling, M., Kuhnt, S. (2011) "How to choose the simulation model for computer experiments: A local approach", Applied Stochastic Models in Business and Industry, DOI:10.1002/asmb.909 .
• Mühlenstädt, T., Kuhnt, S. (2011), "Kernel interpolation", Computational Statistics and Data Analysis, 55, 2962-2974.
• Mühlenstädt, T., Roustant, O., Carraro, L., Kuhnt, S. (2011) "Data-driven Kriging models based on FANOVA-decomposition", Statistics and Computing, doi: 10.1007/S11222-011-9259-7 .

2010

• Guddat, C., Gather, U., Kuhnt, S. (2010), "MCD-RoSIS- A robust procedure for variable selection", in Festschrift in Honor of Prof. Jana Jureckova, "Nonparametics and Robustness in Modern Statistical Inference and Time Series Analysis", IMS Collections, Vol. 7.
• Guddat, C., Gather, U., Kuhnt, S. (2010), "MCD-RoSIS - A robust procedure for variable selection", Discussion Paper 4/2010, SFB 823, TU Dortmund.
• Kracker, H., Bornkamp, B., Kuhnt, S., Gather, U., Ickstadt, K. (2010), "Uncertainty in Gaussian Process Interpolation", in Recent Developments in Applied Probability and Statistics, eds. Korn, R., Devroye, L., Kohler, M., Karasözen, B., Heidelberg: Springer, 79-102.
• Krampe, A., Kuhnt, S. (2010), "Exact Confidence Intervals for Odds Rations with Algebraic Statistics", in Classification as a Tool for Research, Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., 13-18 March 2009, Dresden, eds. Locarek-Junge, H., Weihs, C., Berlin: Springer, 399-407.
• Kuhnt, S. (2010), "Breakdown Concepts for Contingency Tables", Metrika, 71, 281-294.
• Kuhnt, S., Steinberg, D.M. (2010), "Design and Analysis of Computer Experiments", AStA Advances in Statistical Analysis, 94, 307-309.
• Kuhnt, S., Wenzel, S. (2010), "Information Acquisation for Modelling and Simulation of Logistics Networks", Journal of Simulation, 4, 109-115.
• Tillmann, W., Vogli, E., Hussong, B., Kuhnt, S., Rudak, N. (2010), "Relations between in flight Particle Characteristics and Coating Properties by HVOF Spraying", in Proceedings of ITSC 2010 Conference, DVS-Berichte Volume 264.

2009

• Gösling, M., Kracker, H., Brosius, A., Kuhnt, S., Tekkaya, A.E. (2009), "Simulation und Kompensation Rückfederungsbedingter Formabweichungen", in SFB 708 - 3. öffentliches Kolloquium. Dortmund: Praxiswissen (3DSurface Engineering für Werkzeugsysteme der Blechformteilefertigung, 3), ed. Tillmann, W., ISBN 978-3-86975-010-1, 155-168.
• Jodin, D., Kuhnt, S., Wenzel, S. (2009), "Methodennutzungsmodell zur Informationsgewinnung in großen Netzen der Logistik", to appear in Große Netze der Logistik, eds. Buchholz, P., Clausen, U., Berlin: Springer.
• Kracker, H., Kuhnt, S. (2009), "Computer Model Calibration for Springback Prediction in Sheet Metal Forming", in Proceedings of ENBIS-EMSE 2009 Conference, 1-3 July 2009, St. Etienne.
• Krampe, A., Kuhnt, S. (2009), "Model Selection for Contingency Tables with Algebraic Statistics", in Algebraic and Geometric Methods in Statistics, eds. Gibilisco, P., Riccomagno, E., Rogatin, M.-P., Wynn, H.P., Cambridge: Cambridge University Press, 83-97.
• Kuhnt, S., Sieben, W. (2009), "The effect of demand distributions on the performance of inventory policies", Logistics Journal.
• Mühlenstädt, T., Kuhnt, S. (2009), "Comparing different Interpolation Methods on two-dimensional Test Functions", in Proceedings of ENBIS-EMSE 2009 Conference, 1-3 July 2009, St. Etienne.

2008

• Kuhnt, S., Schürmann, C., Schütte, M., Wenning, E., Griefahn, B., Vormann, M., Hellbrück, J. (2008), "Modelling annoyance from combined traffic noises - an experimental study", Acta Acustica united with Acustica, 94, 393-400.

2007

• Krampe, A., Kuhnt, S. (2007), "Bowker's test for symmetry and modifications within the algebraic framework", Computational Statistics & Data Analysis, 51, 4124-4142.
  2006
• Gösling, M., Busch, A., Kuhnt, S., Homberg, W., Kleiner, M., Gather, U. (2006), "Process Setup of High Pressure Sheet Metal Hydroforming by Finite Element Simulations and Statistical Design of Experiments", in Proceedings of the 9th International Esaform Conference on Material Forming, Glasgow.
• Kleiner,M., Gather,U., Gösling,M., Busch,A., Kuhnt,S., Homberg,W.(2006), "Die-design for High-pressure Sheet Metal Hydroforming by Finite Element Simulations and Statistical Design of Experiments", Steel Grips - Journal Of Steel And Related Materials, 1, 46-50.
• Kleiner,M., Kuhnt,S., Gösling,M., Busch,A., Homberg,W., Gather,U.(2006), "Parameter Design for High Pressure Sheet Metal Hydroforming of Sculptured Surfaces", Production Engineering - Research and Development, Annals of the German Academic Society for Production Engineering WGP, 8, 153-158.
• Schürmann, C., Kuhnt, S., Krampe, A. (2006), "Modelling Systems Loads for Simulation in Logistics", in Simulation in Produktion und Logistik 2006, Tagungsband zur 12. Fachtagung, ed. Wenzel, S., Erlangen: SCS Publishing House e. V., 125-132.
  2005
• Fender, T., Krampe, A., Kuhnt, S. (2005), "Kriterien für die Kategorisierung statistischer Methoden im Rahmen eines Methodennutzungsmodells zur Informationsgewinnung in GNL", Technical Report 05005, SFB 559, University of Dortmund.
• Kleiner, M., Gösling, M., Busch, A., Kuhnt, S., Gather, U. (2005), "Virtuelle Prozessplanung der Hochdruck-Blechumformung durch Finite-Elemente-Simulation und statistische Versuchsplanung", Fünftes Industriekolloquium SFB 362.
• Kuhnt, S., Schürmann, C., Griefahn, B. (2005), "Empfundene Lautheit kombinierter Verkehrslärmquellen - Erstellung eines statistischen Prognosemodells", in Personalmanagement und Arbeitsgestaltung, Bericht zum 51. Kongress der Gesellschaft für Arbeitswissenschaft, ed. Gesellschaft für Arbeitswissenschaft e. V. Dortmund: GfA Press, 613-616.
• Krampe, A., Kuhnt, S. (2005), "Bowker's Test for Symmetry and Modifications within the Algebraic Framework", Technical Report 29/2005, SFB 475, University of Dortmund.

2004

• Kuhnt, S. (2004), "Outlier Identification Procedures for Contingency Tables using Maximum Likelihood and L1 Estimates", Scandinavian Journal of Statistics, 31, 431-442.
• Kuhnt, S., Erdbrügge, M. (2004), "A strategy of robust parameter design for multiple responses", Statistical Modeling, 4, 249-264.
• Kuhnt, S., Pawlitschko, J. (2004), "Outlier Identification Rules for Generalized Linear Models", in Innovations in Classification, Data Science, and Information Systems, eds. Baier, D., Wernecke, K. -D., Berlin: Springer, 165-172.
• Kuhnt, S., Schürmann, C. (2004), "Statistical modelling of exposure-response relationships in the analysis of multiple transportation noises", CFA/DAGA, Strasbourg, 22-25 March 2004, 197-198.
• Kuhnt, S., Schürmann, C., Griefahn, B. (2004), "Annoyance from Multiple Transportation Noise: Statistical Models and Outlier Detection", Methods of Information in Medicine, 43, 510-515.

2003

• Fender, T., Kuhnt, S. (2003), "Statistical data management for information retrieval in GNL", Technical Report 03006, SFB 559, University of Dortmund.
• Gather,U., Kuhnt,S., Pawlitschko,J.(2003), "Concepts of Outlyingness for Various Data Structures", Invited chapter in Industrial Mathematics and Statistics, ed.Misra, J.C., New Delhi, India: Narosa Publishing House, 545-585.
• Kirchhoff, S., Kuhnt, S., Lipp, P., Schlawin, S. (2003), "Der Fragebogen. Datenbasis, Konstruktion und Auswertung", 3rd edition, Stuttgart: UTB, Leske+Budrich.
• Klimmek, C., Kuhnt,S., Gather,U., Kleiner,M.(2003), "Wirkmedienbasierte Umformprozesse planen - Kombination der statistischen Versuchsplanung mit der Finite-Elemente-Methode (FEM)", Qualität und Zuverlässigkeit (QZ) - Qualitätsmanagement in Industrie und Dienstleistung, 1/2003, 27-28.
• Klimmek,C., Kuhnt,S., Kleiner,M., Gather,U.(2003), "Virtual process planning by means of finite element simulation and design of experiments", in Proceedings 6th ESAFORM Conference on Material Forming, Salerno, ed.Brucato, V., 463-466.
• Kuhnt, S., Becker, C. (2003), "Sensitivity of Graphical Modeling against Contamination", in Between Data Science and Applied Data Analysis, eds. Schrader, M., Gaul, W., Vichi, M., Berlin: Springer, 279-287.
• Kuhnt, S., Erdbrügge, M. ( 2003), "A Multi-Response Parameter Design Strategy using Loss Functions and Joint Optimization Plots", ISI'03, Berlin, August 13-20, 683-684.

2002

• Erdbrügge, M., Kuhnt, S. (2002), "Strategies for Multi-Response Parameter Design using Loss Functions and Joint Optimization Plots", Technical Report 8/2002, SFB 475, University of Dortmund.
• Gather,U., Homberg,W., Kleiner,M., Klimmek,C., Kuhnt,S.(2002), "Parameter Design for Sheet Metal Hydroforming Processes", in Proceedings of the 7th International Conference on the Technology of Plasticity (ICTP), Yokohama, Japan, 2002, 1003-1008.
• Gather, U., Kuhnt, S., Pawlitschko, J. (2002), "Concepts of Outlyingness for Various Data Structures", Technical Report 6/2002, SFB 475, University of Dortmund.
• Kuhnt, S., Becker, C. (2002), "Sensitivity of Graphical Modeling against Contamination", Technical Report 35/2002, SFB 475, University of Dortmund.
• Kuhnt,S., Gather,U., Klimmek,C., Kleiner,M.(2002), "Planning of high-pressure sheet metal forming processes using multivariate Taguchi methods", UTF-Science, 3, 11-15.

2001

• Kirchhoff, S., Kuhnt, S., Lipp, P., Schlawin, S. (2001), "The questionnaire. Datenbasis, Konstruktion und Auswertung", 2nd edition, Stuttgart: UTB, Leske+Budrich.
  Kuhnt, S. (2001), "Outliers in Contingency Tables", in Proceedings of the 6th International Conference "Computer Data Analysis and Modeling", Minsk, Belarus, 2001, 31-36.
• Kuhnt,S., Klimmek,C., Gather,U., Kleiner,M.(2001), "Optimierung multipler Qualitätsmerkmale mit statistischen Methoden bei der FE-Simulation von Hochdruck-Blech-Umformprozessen", in Simulationsgestützte Offline-Prozessplanung und -optimierung bei der Fertigung von Freiformflächen, Forschergruppe 366, Universität Dortmund, 29-42.

2000

• Gather,U., Becker,C., Kuhnt,S.(2000), "Robust Methods for Complex Data Structures", in Proceedings of IFCS 2000, 7th Conference of the International Federation of Classification Societies, Data Analysis, Classification and Related Methods, Namur, July 11 to 14 2000, eds. Kiers, H.A.L.,Rasson, J.P.,Groenen, P.J.F.,Schader, M., Berlin: Springer, 314-320.
• Kirchhoff, S., Kuhnt, S., Lipp, P., Schlawin, S. (2000), "Let's do a questionnaire", Opladen: Leske+Budrich.
• Kuhnt, S. (2000), "Ausreißeridentifikation im Loglinearen Poissonmodell für Kontingenztafeln unter Einbeziehung robuster Schätzer", Dissertation, Faculty of Statistics, University of Dortmund.

before 2000

• Kirchhoff, S., Kuhnt, S. (1997), "Die Schlange vor der Dozententür...", Dortmunder Studierende liefern empirische Ergebnisse zu Lehre und Lehrenden, in Handbuch Hochschullehre, September 1997, J.3.3, pp. 1-23, Bonn.
• Kuhnt,S.(1994), "Graphische Modelle und ihre Anwendungen in der Statistik", diploma thesis, University of Dortmund.