Research Assistant
shafaei (at) in.tum.de | |
Room | MI 03.07.042 |
Phone | +49.89.289.18108 |
Fax | +49.89.289.18107 |
Address | Institut für Informatik VI Technische Universität München Boltzmannstraße 3 85748 Garching bei München Germany |
New Homepage | https://www6.in.tum.de/people/sina-shafaei-dr/ |
Curriculum Vitæ
- Research Assistant, Technische Universität München (TUM), Munich, Germany - (20-2022)
- M.Sc. Informatics, Technische Universität München (TUM), Munich, Germany - (2013-2016)
- B.Sc. Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran - (2008-2013)
Open Research & Thesis Topics
- Master Thesis / Guided Research: An Intelligent Personal Assistant with Proactive Behavior for Occupants of an Autonomous Car
- Master Thesis / Guided Research: A Context Prediction Architecture to Increase Driving Comfort with Neural Networks
- Master Thesis: Developing a Smart Wiper System Adaptive to the Drivers' Behavior
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 | A Behavior-based Approach for Automotive emotion Recognition Systems Student: Tahir Hacizade (start: January 2018), Advisor: Sina Shafaei, Supervisor: Prof. Dr.-Ing. Alois Knoll |
Master Thesis | AI-based Games and the Comfort of the Occupants in Highly Automated Driving Student: Christina Kopp (start: Sptember 2017), Advisor: Sina Shafaei, Supervisor: Prof. Dr.-Ing. Alois Knoll |
Master Thesis | [External BMW] Reinforcement Learning-based Comfort Functions in Automotive Student: Niko Tzioras (start: December 2017), Advisor: Sina Shafaei, Supervisor: Prof. Dr.-Ing. Alois Knoll |
Master Thesis | [External BMW] Machine Learning-based Control of a Limited Slip Differential Student: Ana-Maria Radut (April-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 |
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
- TUM Thesis Latex Template
- Don McMillan: Life After Death by PowerPoint
- Pomodoro Technique
- Pareto Principle
Tips for a Researcher
- Thesis Guide
- Microsoft Academic
- Conference Rankings
- Scimago Journal and Country Ranking Engine
- Computer Science Conference Rank
- List of the Computer Science Conferences
- Writing Technical Articles
- Organizing My Research References
- How to Succeed in Graduate School: A Guide for Students and Advisors
- How to do Research At the MIT AI Lab
- Wissenschaftliches Schreiben
- Reading Papers: SQ3R
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 ] |