This image shows Falk Dettinger

Falk Dettinger

M.Sc.

Academic staff
Institute of Industrial Automation and Software Engineering

Contact

+49 711 685 67313
 +49 711 685 67302

Pfaffenwaldring 47
70569 Stuttgart
Germany
Room: 1.115

Journals and Conferences:

  1. 2023

    1. J. Kattinger, M. Kornely, J. Ehrler, C. Bonten, and M. Kreutzbruck, “Analysis of melting and flow in the hot-end of a material extrusion 3D printer using X-ray computed tomography,” Additive manufacturing, vol. 76, p. 103762, 2023.
    2. M. Weiß, M. Müller, F. Dettinger, N. Jazdi, and M. Weyrich, “Continuous Analysis and Optimization of Vehicle Software Updates using the Intelligent Digital Twin,” 2023, pp. 1–7.
    3. F. Dettinger, H. Wei, M. Weiß, N. Jazdi, and M. Weyrich, “Dateneffiziente Vervollständigung des Umgebungsmodells von autonomen vernetzten Systemen mittels Sensorfusion,” 2023, pp. 513–524.
    4. M. Weiß, F. Dettinger, N. Jazdi, and M. Weyrich, “DevOps als Enabler der kontinuierlichen Funktionsverbesserung und automatisierten Update-Analyse in software-definierten Systemen,” 2023, pp. 487–500.
    5. K. Ohmer, S. Svetlosanova, F. Böttinger, M. Schilirò, and R. Zapf-Gottwick, “Further Development of a Laser-Tool Towards a Self-Regulating Manufacturing Device,” in SiliconPV 2022, the 12th International Conference on Crystalline Silicon Photovoltaics, 2023, no. 2826, 1, p. 060001.
    6. F. Dettinger, N. Jazdi, M. Weyrich, L. Brandl, H.-C. Reuss, U. Pecha, N. Parspour, S. Li, M. Frey, F. Gauterin, A.-T. Nägele, V. Lüntzel, and E. Sax, “Machine-Learning-Based Fault Detection in Electric Vehicle Powertrains Using a Digital Twin,” 2023.
    7. L. Brandl, F. Dettinger, N. Jazdi, U. Pecha, S. Li, A. Nägele, V. Lüntzel, E. Sax, F. Gauterin, N. Parspour, M. Weyrich, and H.-C. Reuss, “Machine-Learning-Based Fault Detection in Electric Vehicle Powertrains Using a Digital Twin,” 2023.
    8. L. Kolbeck et al., “Modularisation Strategies for Individualised Precast Construction - Conceptual Fundamentals and Research Directions,” Designs, vol. 7, no. 6, 2023.
    9. A. Meiners, “Potentialbewertung effizienzsteigernder Technologien bei Landmaschinen in Verfahrensketten mit Körnerfruchternte,” Dissertation, Shaker Verlag, Düren, 2023.
    10. G. Sterzl, Y. Zhu, J. Hesselbarth, C. Carta, M. Lisker, and F. Ettinger, “Self-Aligned on-Chip Spherical Dielectric Resonators and Antennas for SiGe MMIC,” in 2022 Asia-Pacific Microwave Conference (APMC), Yokohama, Japan, 2023.
    11. D. Alba, P. Reitinger, C. Bonten, and M. Liewald, “Studies on manufacturing polymer-metal hybrid components through integrated bulk forming,” 2023.
    12. A. A. Porporati, Y. Mödinger, S. Fischer, S. Polajžer, M. Mettang, U. Deisinger, M. Podlogar, R. Trebše, and N. Lovšin, “Zirconia-Toughened Alumina Ceramic Wear Particles Do Not Elicit Inflammatory Responses in Human Macrophages,” International journal of molecular sciences, vol. 24, no. 7, p. 6482, 2023.

  2. 2022

    1. S. Monka, L. Halilaj, and A. Rettinger, “A Survey on Visual Transfer Learning using Knowledge Graphs.,” CoRR, vol. abs/2201.11794, 2022.
    2. C. Rettinger and U. Rüde, “An efficient four-way coupled lattice Boltzmann - discrete element method for fully resolved simulations of particle-laden flows.,” J. Comput. Phys., vol. 453, p. 110942, 2022.
    3. F. Denzinger, M. Wels, O. Taubmann, M. A. Gülsün, M. Schöbinger, F. André, S. J. Buss, J. Görich, M. Sühling, A. K. Maier, and K. Breininger, “CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling.,” CoRR, vol. abs/2202.03671, 2022.
    4. S. Hünemeyer, F. Reichelt, S. Rapp, A. Albers, and T. Maier, “Challenges, Potentials and Success Factors in Automotive HMI Concept Development in the Early Phase in the Model of PGE : Product Generation Engineering,” in DS 118: Proceedings of NordDesign 2022, Copenhagen, Denmark, 16th - 18th August 2022, Online, 2022, pp. 1–12.
    5. A. Bianchini, G. Bangga, I. Baring-Gould, A. Croce, J. Ignacio Cruz, R. Damiani, G. Erfort, C. S. Ferreira, D. Infield, C. N. Nayeri, G. Pechlivanoglou, M. Runacres, G. Schepers, B. Summerville, D. Wood, and A. Orrell, “Current status and grand challenges for small wind turbine technology,” Wind energy science, vol. 7, no. 5, pp. 2003–2037, 2022.
    6. M. Rettinger, J. Guhathakurta, P. Gänz, S. Simon, and M. Schlaich, “Hinter den Kulissen - Computertomographie für modulare Segmentfertigteilbrücken,” Beton- und Stahlbetonbau, vol. 117, no. 5, pp. 343–356, 2022.
    7. Y. Yang, F. Doettinger, C. Kleeberg, W. Frey, M. Karnahl, and S. Tschierlei, “How the Way a Naphthalimide Unit is Implemented Affects the Photophysical and -catalytic Properties of Cu(I) Photosensitizers,” Frontiers in Chemistry, vol. 10, p. 936863, 2022.
    8. U. Faltings, T. Bettinger, S. Barth, and M. Schäfer, “Impact on Inference Model Performance for ML Tasks Using Real-Life Training Data and Synthetic Training Data from GANs.,” Inf., vol. 13, no. 1, p. 9, 2022.
    9. K. Markert, D. Mirdita, and K. Böttinger, “Language Dependencies in Adversarial Attacks on Speech Recognition Systems.,” CoRR, vol. abs/2202.00399, 2022.
    10. S. Rogalla, R. Denninger, P. Ernst, A. Greulich, H. Lens, A. Salman, T. Schaupp, R. Singer, and J. Ungerland, “Netzbildende Wechselrichter in Verbundnetzen – Abschließende Ergebnisse aus dem Forschungsprojekt VerbundnetzStabil,” in Tagung Zukünftige Stromnetze 26. - 27. Januar, 2022.
    11. J. Kattinger, T. Ebinger, R. Kurz, and C. Bonten, “Numerical simulation of the complex flow during material extrusion in fused filament fabrication,” Additive manufacturing, vol. 49, no. January, p. 102476, 2022.
    12. K. Huttinger, “Potentiale eines lokalen Ölthermomanagements hinsichtlich Reibungsreduzierung,” Dissertation, Universität Stuttgart, Stuttgart, 2022.
    13. S. Ettinger, C. F. Dietrich, C. K. Mishra, C. Miksch, D. A. Beller, P. J. Collings, and A. G. Yodh, “Rods in a lyotropic chromonic liquid crystal : emergence of chirality, symmetry-breaking alignment, and caged angular diffusion,” Soft matter, vol. 18, no. 3, pp. 487–495, 2022.
    14. F. Thamm, F. Denzinger, L. Rist, C. M. Vicario, F. Kordon, and A. K. Maier, “Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors.,” CoRR, vol. abs/2201.06259, 2022.
    15. N. Koster, O. Grothe, and A. Rettinger, “Signing the Supermask: Keep, Hide, Invert.,” CoRR, vol. abs/2201.13361, 2022.
    16. A. Löcklin, F. Dettinger, M. Artelt, N. Jazdi, and M. Weyrich, “Trajectory Prediction of Workers to Improve AGV and AMR Operation based on the Manufacturing Schedule,” Procedia CIRP, Vol. 107, pp. 283-288, Mai, 2022, 2022.
    17. K. Markert, R. Parracone, M. Kulakov, P. Sperl, C.-Y. Kao, and K. Böttinger, “Visualizing Automatic Speech Recognition - Means for a Better Understanding?,” CoRR, vol. abs/2202.00673, 2022.

  3. 2021

    1. J. Vogel, D. Leidner, A. Hagengruber, M. Panzirsch, B. Bäuml, M. Denninger, U. Hillenbrand, L. Suchenwirth, P. Schmaus, M. Sewtz, A. S. Bauer, T. Hulin, M. Iskandar, G. Quere, A. Albu-Schäffer, and A. Dietrich, “An Ecosystem for Heterogeneous Robotic Assistants in Caregiving: Core Functionalities and Use Cases.,” IEEE Robotics Autom. Mag., vol. 28, no. 3, pp. 12–28, 2021.
    2. J. Kattinger, S. Joas, F. Willems, M. Kreutzbruck, and C. Bonten, “Application of the Folgar-Tucker model to predict the orientation of particles of different aspect ratios in polymer suspensions,” Journal of polymer engineering, vol. 41, no. 7, pp. 528–536, 2021.
    3. S. Kandaswamy, Z. Pruitt, S. Kazi, J. L. Marquard, S. Owens, D. J. Hoffman, R. M. Ratwani, and A. Z. Hettinger, “Clinician Perceptions on the Use of Free-Text Communication Orders.,” Appl. Clin. Inform., vol. 12, no. 03, pp. 484–494, 2021.
    4. A. Hätty, J. Bettinger, M. Dorna, J. Kuhn, and S. Schulte im Walde, “Compound or Term Features? : Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains,” in Proceedings of SEM 2021 : The Tenth Joint Conference on Lexical and Computational Semantics, Online, 2021, pp. 252–262.
    5. F. Döttinger, Y. Yang, M.-A. Schmid, W. Frey, M. Karnahl, and S. Tschierlei, “Cross-Coupled Phenyl- and Alkynyl-Based Phenanthrolines and Their Effect on the Photophysical and Electrochemical Properties of Heteroleptic Cu(I) Photosensitizers,” Inorganic chemistry, vol. 60, no. 7, pp. 5391–5401, 2021.
    6. H.-K. Beckmann, “Einfluss der mechanischen und pneumatischen Anregung auf die Entmischung und Abscheidung in der Mähdrescherreinigungsanlage,” Dissertation, Shaker Verlag, Düren, 2021.
    7. S. Werner, A. Rettinger, L. Halilaj, and J. Lüttin, “Embedding Taxonomical, Situational or Sequential Knowledge Graph Context for Recommendation Tasks.,” in SEMANTiCS, 2021, vol. 53, pp. 213–226.
    8. S. Rogalla, P. Ernst, C. Schöll, A. Greulich, T. Schaupp, R. Denninger, J. Lehner, R. Singer, A. Salman, H. Lens, and J. Ungerland, “Grid Forming Converters in Interconnected Systems - Final Results from the Joint Research Project VerbundnetzStabil,” in 20th Wind Integration Workshop, Berlin, 2021.
    9. J. Hemmerling, J. Guhathakurta, F. Dettinger, A. Fill, and K. P. Birke, “Non-Uniform Circumferential Expansion of Cylindrical Li-Ion Cells : the Potato Effect,” Batteries, vol. 7, no. 3, p. 61, 2021.
    10. P. Hottinger et al., “On-sky results for the integrated microlens ring tip-tilt sensor,” Journal of the Optical Society of America. B, Optical physics, vol. 38, no. 9, pp. 2517–2527, 2021.
    11. C. Bless, L. Dötlinger, M. Kaltschmid, M. Reiter, A. Kurteva, A. J. Roa-Valverde, and A. Fensel, “Raising Awareness of Data Sharing Consent Through Knowledge Graph Visualisation.,” in SEMANTiCS, 2021, vol. 53, pp. 44–57.
    12. A. Gettinger and T. Zayas-Cabán, “Response to ‘My mom got diagnosed with cancer through the MyChart app’.,” J. Am. Medical Informatics Assoc., vol. 29, no. 1, pp. 218–219, 2021.
    13. L. Pandia and A. Ettinger, “Sorting through the noise: Testing robustness of information processing in pre-trained language models.,” in EMNLP (1), 2021, pp. 1583–1596.
    14. T. Dong, A. Rettinger, J. Tang, B. Tversky, and F. van Harmelen, “Structure and Learning (Dagstuhl Seminar 21362).,” Dagstuhl Reports, vol. 11, no. 8, pp. 11–34, 2021.
    15. M. Tondera, M. Fischer, J. Kaiser, and T. Maier, “Study on the Perceived Quality of Hand-Operated Mechanical Controls in Passenger Cars Using the Example of Air Vents,” in Human Systems Engineering and Design (IHSED2021) : Future Trends and Applications, Dubrovnik, Croatia, 2021, no. 21.
    16. R. K. Gnanasekaran, S. Chakraborty, J. Dehlinger, and L. Deng, “Using Recurrent Neural Networks for Classification of Natural Language-based Non-functional Requirements.,” in REFSQ Workshops, 2021, vol. 2857.
    17. M. Bauer, S. Eibl, C. Godenschwager, N. Kohl, M. Kuron, C. Rettinger, F. Schornbaum, C. Schwarzmeier, D. Thönnes, H. Köstler, and U. Rüde, “waLBerla : A block-structured high-performance framework for multiphysics simulations,” Computers and mathematics with applications, vol. 81, pp. 478–501, 2021.

  4. 2020

    1. F. Willems, P. Reitinger, and C. Bonten, “Calibration of Fiber Orientation Simulations for LFT-A New Approach,” Journal of composites science, vol. 4, no. 4, p. 163, 2020.
    2. P. Reitinger, F. Willems, and C. Bonten, “Calibration of models to predict the fiber microstructure of LFRT,” in Proceedings of PPS2019 Europe-Africa Regional Conference of the Polymer Processing Society, Pretoria, South Africa, 2020, no. 2289, p. 020047.
    3. F. Laufer, D. Roth, and H. Binz, “Mass Distribution as an Approach for Designing Lightweight-Driven Product Architectures,” in DS 101: Proceedings of NordDesign 2020, Lyngby, Denmark, 2020.
    4. D. Maier, R. Pottinger, A. Doan, W.-C. Tan, A. Alawini, and H. Q. Ngo, Eds., Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference Portland, OR, USA, June 14-19, 2020. ACM, 2020.
    5. P. Wolfert, J. Deschuyteneer, D. Oetringer, N. L. Robinson, and T. Belpaeme, “Security Risks of Social Robots Used to Persuade and Manipulate: A Proof of Concept Study.,” in HRI (Companion), 2020, pp. 523–525.
    6. M. Kersic, T. Müller, R. Denninger, P. Ernst, S. Reichert, S. Rogalla, R. Singer, A. Dýsko, A. E. Alvarez, Q. Hong, E. Lewis, A. Roscoe, H. Lens, C. Schöll, T. Schaupp, and K. Jalili, Testing characteristics of grid forming converters part I : specification and definition of behaviour. Virtual 19th Wind Integration Workshop, 11 - 12 November 2020: Energynautics GmbH, 2020.
    7. W. Cao, Y. Gao, F. Li, S. Wang, B. Lin, K. Xu, X. Feng, Y. Wang, Z. Liu, and G. Zhang, “Timon: A Timestamped Event Database for Efficient Telemetry Data Processing and Analytics.,” in SIGMOD Conference, 2020, pp. 739–753.
    8. M. Eberhart, S. Löhle, R. Öfele, and S. Fasoulas, “Transient response of amperometric solid electrolyte oxygen sensors under high vacuum,” Sensors and Actuators. B, Chemical, vol. 323, p. 128639, 2020.

  5. 2019

    1. E. Leitinger, F. Meyer, F. Hlawatsch, K. Witrisal, F. Tufvesson, and M. Z. Win, “A Belief Propagation Algorithm for Multipath-Based SLAM.,” IEEE Trans. Wireless Communications, vol. 18, no. 12, pp. 5613–5629, 2019.
    2. T. Suppan, M. Neumayer, T. Bretterklieber, and S. Puttinger, “A Kalman Filter Approach for the Application of Electrical Capacitance Tomography in Dynamic Processes using a State Reduction.,” in I2MTC, 2019, pp. 1–6.
    3. C. Véronneau, J. Denis, L.-P. Lebel, M. Denninger, J.-S. Plante, and A. Girard, “A Lightweight Force-Controllable Wearable Arm Based on Magnetorheological-Hydrostatic Actuators.,” in ICRA, 2019, pp. 4018–4024.
    4. S. Datta, A. Schraplau, H. F. D. Cruz, J.-P. Sachs, F. Mayer, and E. P. Böttinger, “A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome.,” in BIBE, 2019, pp. 933–940.
    5. G. Hansch, P. Schneider, K. Fischer, and K. Böttinger, “A Unified Architecture for Industrial IoT Security Requirements in Open Platform Communications.,” in ETFA, 2019, pp. 325–332.
    6. D. S. Gibson, V. Anand, J. Dehlinger, C. Dierbach, T. Emmersen, and A. Phillips, “Accredited Undergraduate Cybersecurity Degrees: Four Approaches.,” IEEE Computer, vol. 52, no. 3, pp. 38–47, 2019.
    7. A. Hätty, U. Heid, A. Moskvina, J. Bettinger, M. Dorna, and S. S. im Walde, “AkkuBohrHammer vs. AkkuBohrhammer: Experiments towards the Evaluation of Compound Splitting Tools for General Language and Specific Domains.,” in KONVENS, 2019.
    8. T.-Y. Lin, J.-S. Yeh, F.-C. Wu, Y.-Y. Chuang, and A. Dellinger, “An Experiment for Background Subtraction in a Dynamic Scene.,” in Canadian Conference on AI, 2019, vol. 11489, pp. 420–425.
    9. C. P. Kappe, M. Böttinger, and H. Leitte, “Analysis of Decadal Climate Predictions with User-guided Hierarchical Ensemble Clustering.,” Comput. Graph. Forum, vol. 38, no. 3, pp. 505–515, 2019.
    10. S. Häberle, “Anforderungs- und einsatzgerechte Auslegung von Fahrantrieben mobiler Erntemaschinen,” Dissertation, Shaker Verlag, Düren, 2019.
    11. M. R. Ringenberg and F. Doettinger, “Anodic mechanism of 1,1’-bis(diphenylphosphino)ferrocenedicarbonylnickel determined by low-temperature spectroelectrochemistry,” European Journal of Inorganic Chemistry, no. 19, pp. 2430–2435, 2019.
    12. C. Baker, L. Deng, S. Chakraborty, and J. Dehlinger, “Automatic Multi-class Non-Functional Software Requirements Classification Using Neural Networks.,” in COMPSAC (2), 2019, pp. 610–615.
    13. P. A. Zadeh, L. Wei, A. Dee, R. Pottinger, and S. Staub-French, “BIM-CITYGML data integration for modern urban challenges.,” ITcon, vol. 24, pp. 318–340, 2019.
    14. M. Denninger, M. Sundermeyer, D. Winkelbauer, Y. Zidan, D. Olefir, M. Elbadrawy, A. Lodhi, and H. Katam, “BlenderProc.,” CoRR, vol. abs/1911.01911, 2019.
    15. Y. Yuan, R. Sussmann, M. Rettinger, L. Ries, H. Petermeier, and A. Menzel, “Comparison of Continuous In-Situ CO2 Measurements with Co-Located Column-Averaged XCO2 TCCON/Satellite Observations and CarbonTracker Model Over the Zugspitze Region.,” Remote Sensing, vol. 11, no. 24, p. 2981, 2019.
    16. S. Hainz, E. de la Torre, and J. Güttinger, “Comparison of Magnetic Field Sensor Technologies for the use in Wheel Speed Sensors.,” in ICIT, 2019, pp. 727–731.
    17. J.-P. Schulze, A. Mrowca, E. Ren, H.-A. Loeliger, and K. Böttinger, “Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy.,” in KDD, 2019, pp. 2059–2068.
    18. F. Denzinger, M. Wels, N. Ravikumar, K. Breininger, A. Reidelshöfer, J. Eckert, M. Sühling, A. Schmermund, and A. Maier, “Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics.,” CoRR, vol. abs/1912.06075, 2019.
    19. M. Deininger, U. Iben, and C.-D. Munz, “Coupling of Three- and One-Dimensional Hydraulic Flow Simulations,” Computers & Fluids, vol. 190, pp. 128–138, 2019.
    20. D. Burdge, G. W. Hislop, G. Braught, J. Dehlinger, C. Murphy, J. Klukowska, L. Lambert, P. Ordonez, and K. R. Wurst, “Curious about Student Participation in Humanitarian Open Source Software?,” in SIGCSE, 2019, pp. 966–967.
    21. F. Denzinger, M. Wels, K. Breininger, A. Reidelshöfer, J. Eckert, M. Sühling, A. Schmermund, and A. Maier, “Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans.,” CoRR, vol. abs/1912.06417, 2019.
    22. J. Kulmer, S. Grebien, E. Leitinger, and K. Witrisal, “Delay Estimation in Presence of Dense Multipath.,” IEEE Wireless Commun. Letters, vol. 8, no. 5, pp. 1481–1484, 2019.
    23. M.-A. Bégin, M. Denninger, and J.-S. Plante, “Design and Experimental Validation of a 2DOF Sidestick Powered by Hyper-Redundant Magnetorheological Actuators Providing Active Feedback.,” in ICRA, 2019, pp. 4011–4017.
    24. N. M. Müller, P. Debus, D. Kowatsch, and K. Böttinger, “Distributed Anomaly Detection of Single Mote Attacks in RPL Networks.,” in ICETE (2), 2019, pp. 378–385.
    25. P. Sperl, C. yu Kao, P. Chen, and K. Böttinger, “DLA: Dense-Layer-Analysis for Adversarial Example Detection.,” CoRR, vol. abs/1911.01921, 2019.
    26. C. Rettinger and U. Rüde, “Dynamic Load Balancing Techniques for Particulate Flow Simulations.,” Computation, vol. 7, no. 1, p. 9, 2019.
    27. L. Hettinger, A. Zehe, A. Dallmann, and A. Hotho, “EClaiRE: Context Matters! - Comparing Word Embeddings for Relation Classification.,” in GI-Jahrestagung, 2019, vol. P-294, pp. 191–204.
    28. J. Willkomm, J. Bettinger, M. Schäler, and K. Böhm, “Efficient Interval-focused Similarity Search under Dynamic Time Warping.,” in SSTD, 2019, pp. 130–139.
    29. J. Diffenderfer, A. Fox, J. A. Hittinger, G. Sanders, and P. G. Lindstrom, “Error Analysis of ZFP Compression for Floating-Point Data.,” SIAM J. Scientific Computing, vol. 41, no. 3, pp. A1867–A1898, 2019.
    30. C. P. Kappe, M. Böttinger, and H. Leitte, “Exploring Variability within Ensembles of Decadal Climate Predictions.,” IEEE Trans. Vis. Comput. Graph., vol. 25, no. 3, pp. 1499–1512, 2019.
    31. K. Böttinger, “Fuzzing with Stochastic Feedback Processes.,” Technical University of Munich, Germany, 2019.
    32. P. Bettinger, K. L. Merry, M. Bayat, and J. Tomastík, “GNSS use in forestry - A multi-national survey from Iran, Slovakia and southern USA.,” Comput. Electron. Agric., vol. 158, pp. 369–383, 2019.
    33. T. Palumbo and G. Hittinger, “How Student Workers Saved the Day.,” in SIGUCCS, 2019, pp. 89–96.
    34. M. Gattinger and Y. Wang, “How to Agree without Understanding Each Other: Public Announcement Logic with Boolean Definitions.,” CoRR, vol. abs/1907.09105, 2019.
    35. T. Ruprecht and T. Denkinger, “Implementation of a Chomsky-Schützenberger n-best parser for weighted multiple context-free grammars.,” in NAACL-HLT (1), 2019, pp. 178–191.
    36. J. Liu, Z. Zolaktaf, R. Pottinger, and M. Milani, “Improvement of SQL Recommendation on Scientific Database.,” in SSDBM, 2019, pp. 206–209.
    37. W. J. Kettinger, H. Li, and C. Zhang, “Information Management Capabilities in the Digital Era: The Senior Manager’s Perspective.,” in ICIS, 2019.
    38. D. Cornel, A. Buttinger-Kreuzhuber, A. Konev, Z. Horváth, M. Wimmer, R. Heidrich, and J. Waser, “Interactive Visualization of Flood and Heavy Rain Simulations.,” Comput. Graph. Forum, vol. 38, no. 3, pp. 25–39, 2019.
    39. D. E. Leidner, B. Kettinger, E. Gonzalez, and M. M. Jr., “Introduction to the Minitrack on Practice-based IS Research.,” in HICSS, 2019, p. 1.
    40. S. Hu and E. Leitinger, “Joint Modulus Zero-Forcing MIMO Detector.,” in WCNC, 2019, pp. 1–5.
    41. X. Li, E. Leitinger, M. Oskarsson, K. Åström, and F. Tufvesson, “Massive MIMO-Based Localization and Mapping Exploiting Phase Information of Multipath Components.,” IEEE Trans. Wireless Communications, vol. 18, no. 9, pp. 4254–4267, 2019.
    42. V. Sattinger, M. Papa, K. Stuja, and W. Kubinger, “Methodik zur Entwicklung sicherer kollaborativer Produktionssysteme im Rahmen von Industrie 4.0.,” Elektrotechnik und Informationstechnik, vol. 136, no. 7, pp. 318–325, 2019.
    43. E. Leitinger, S. Grebien, and K. Witrisal, “Multipath-Based SLAM Exploiting AoA and Amplitude Information.,” in ICC Workshops, 2019, pp. 1–7.
    44. N. M. Müller, D. Kowatsch, P. Debus, D. Mirdita, and K. Böttinger, “On GDPR Compliance of Companies’ Privacy Policies.,” in TSD, 2019, vol. 11697, pp. 151–159.
    45. J. Loffeld and J. Hittinger, “On the arithmetic intensity of high-order finite-volume discretizations for hyperbolic systems of conservation laws.,” IJHPCA, vol. 33, no. 1, 2019.
    46. T. Koopmann, A. Dallmann, L. Hettinger, T. Niebler, and A. Hotho, “On the right track! Analysing and Predicting Navigation Success in Wikipedia.,” in HT, 2019, pp. 143–152.

Research focus: -

Description: -

Research portal: -

To the top of the page