KIT - IES - Mitarbeiter

	Mahsa Mohammadikaji, M.Sc.
	Gebäude: 7.21 Raum: 17 Tel.: +49 721 608-45917 Fax: +49 721 608-45926 mahsa mohammadikajiAam4∂kit edu	Karlsruher Institut für Technologie – KIT Lehrstuhl für Interaktive Echtzeitsysteme (IES) Prof. Dr.- Ing. Jürgen Beyerer c/o Technologiefabrik Haid-und-Neu-Str. 7 76131 Karlsruhe

Mahsa Mohammadi Kaji has received her master degree in Artificial Intelligence in 2014 and her bachelor degree in Computer Engineering in 2012, both from Sharif University of Technology, Tehran, Iran. She has worked in the field of Medical Image processing for "Segmentation and Volumetric Analysis of Glioma Brain Tumours" as her bachelor thesis and Robotic vision in her master studies with the title "Visual Odometry using RGB-D Cameras", both at IPL chair in Computer Engineering department of Sharif University of Technology. Since November 2014, she has joined IES chair in Karlsruhe Institute of Technology as a scientific staff and works towards a PhD degree. She is currently working on "Optimization and Planning of Visual Inspection Tasks using Computer Graphics Simulations".

Zu vergebende studentische Arbeiten
Titel	Typ	Betreuer
Optimierung optischer Inspektionssysteme	Masterarbeit	M.Sc. Mahsa Mohammadikaji

Betreute studentische Arbeiten
Titel	Typ, Abgabedatum	Betreuer
Improved 3D laser scanning using stereo matching	Diplom- oder Masterarbeit 0	M.Sc. Mahsa Mohammadikaji

Veröffentlichungen
Titel	Autoren	Quelle
A Versatile Hardware and Software Toolset for Computer Aided Inspection Planning of Machine Vision Applications	Irgenfried, S.; Wörn, H.; Bergmann, S.; Mohammadikaji, M.; Beyerer, J.; Dachsbacher, C.	International Conference on Information Systems Architecture and Technology, S. 326--335, 2017.
CAD-basierter Workflow für den semi-automatischen Entwurf optischer Inspektionssysteme	Irgenfried, S.; Wörn, H.; Bergmann, S.; Mohammadikaji, M.; Beyerer, J.; Dachsbacher, C.	at - Automatisierungstechnik 65 Nr. 6, 2017.
Image formation simulation for computer-aided inspection planning of machine vision systems	Irgenfried, S.; Bergmann, S.; Mohammadikaji, M.; Beyerer, J.; Dachsbacher, C.; Wörn, H.	Automated Visual Inspection and Machine Vision II, Bd. 10334, 2017.
Probabilistic Surface Inference for Industrial Inspection Planning	Mohammadikaji, M.; Bergmann, S.; Irgenfried, S.; Beyerer, J.; Dachsbacher, C.; Wörn, H.	Applications of Computer Vision (WACV), 2017 IEEE Winter Conference on, S. 1008--1016, 2017.
A Phenomenological Approach to Integrating Gaussian Beam Properties and Speckle into a Physically-Based Renderer	Bergmann, S.; Mohammadikaji, M.; and Irgenfried, S.; Wörn, H.; Beyerer, J.; Dachsbacher, C.	Hullin, M.; Stamminger, M.; Weinkauf, T. (Hrsg.), Vision, Modeling Visualization, The Eurographics Association, 2016.
Performance Characterization in Automated Optical Inspection using CAD Models and Graphical Simulations	Mohammadikaji, M.; Bergmann, S.; Irgenfried, S.; Beyerer, J.; Dachsbacher, C.; Wörn, H.	XXX Messtechnisches Symposium, De Gruyter, 2016.
A framework for uncertainty propagation in 3D shape measurement using laser triangulation	Mohammadikaji, M.; Bergmann, S.; Irgenfried, S.; Beyerer, J.; Dachsbacher, C.; Wörn, H.	2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, S. 1--6, 2016.