Technische Universität München Robotics and Embedded Systems
 

Sina Shafaei M.Sc

 

Research Assistant

E-Mail shafaei (at) in.tum.de
Room MI 03.07.042
Phone +49.89.289.18111
Fax +49.89.289.18107
Address Institut für Informatik VI
Technische Universität München
Boltzmannstraße 3
85748 Garching bei München
Germany
Homepage http://www6.in.tum.de/Main/Shafaei
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Curriculum Vitæ

Open Research & Thesis Topics

If you are looking for a Guided Research or thesis (Bachelor/Master) topic in Reinforcement Learning, Intelligent Assistant Systems for Autonomous Cars OR Real Time Communication, send me an email to set up a meeting and discuss the open topics together. I'd be more happy to hear about your own proposals!

Supervised Thesis, Projects & Guided Researches

Guided Research Emotion Recognition Systems for Evaluating the Comfort Level of the Occupants in an Autonomous Car
Student: Mesut Kuscu (start: November 2017), Advisor: Sina Shafaei, Supervisor: Prof. Dr.-Ing. Alois Knoll
Master Thesis AI-based Games and the Comfort of the Occupants in Autonomous Driving
Student: Christina Kopp (start: Sptember 2017), Advisor: Sina Shafaei, Supervisor: Prof. Dr.-Ing. Alois Knoll
Bachelor Thesis Developing a Smart Wiper System Adaptive to the Drivers' Behavior
Student: Andreas Strasser (start: November 2017), Advisor: Sina Shafaei, Supervisor: Prof. Dr.-Ing. Alois Knoll
Bachelor Thesis A Neural Network-based Pedestrian Detection Algorithm
Student: Simon Zachau (start: November 2017), Advisor: Sina Shafaei, Supervisor: Prof. Dr.-Ing. Alois Knoll
Master Thesis [External BMW]
Student: Ana-Maria Radut (April-October 2017), Advisor: Sina Shafaei, Supervisor: Prof. Dr.-Ing. Alois Knoll

Teaching

WS 17/18 MasterSeminar Context Prediction in Autonomous Driving
WS 17/18 Praktikum/Lab Course Deterministic Networking Lab
WS 17/18 Teaching Assistant Echtzeitsysteme

Tips for a Student

Tips for a Researcher

Publications

[1] Stefan Kugele, Vadim Cebotari, Mario Gleirscher, Morteza Hashemi Farzaneh, Christoph Segler, Sina Shafaei, Hans-Joerg Voegel, Fridolin Bauer, Alois Knoll, Diego Marmsoler, and Hans-Ulrich Michel. Research challenges for a future-proof e/e architecture - a project statement. In 15. Workshop Automotive Software Engineering, sep 2017. accepted. [ .bib ]
[2] Morteza Hashemi Farzaneh, Sina Shafaei, and Alois Knoll. Formally verifiable modeling of in-vehicle time-sensitive networks (tsn) based on logic programming. In 2016 IEEE Vehicular Networking Conference (VNC), pages 1-4, Dec 2016. [ DOI | .bib | .pdf ]