Sina Shafaei, M.Sc.

shafaei(at)in.tum.de

Room: MI 03.07.057

Phone: +49.89.289.18108

Fax: +49.89.289.18107

Address: Institut für Informatik IV Technische Universität München,
Boltzmannstraße 3, 85748 Garching bei München, Germany

Office Hours: By email


Curriculum Vitae

  • (2017 - Now) Research Assistant, Chair of Robotics, Artificial Intelligence and Embedded Systems, TUM
  • (2013 - 2016) Master in Informatics, Technische Universität München (TUM)
  • (2008 - 2013) Bachelor in Computer Engineering, Iran University of Science and Technology (IUST)

Teaching

Summer Semester 2019:

  • Master Seminar: Emotional Awareness in Autonomous Driving
  • Master Seminar: Advanced Methods for Emotion Recognition in Highly Automated Driving

Winter Semester 2018/19

Teaching Assistant Lectures:

Past:


Open Thesis Topics / Guided Research

Are you interested in Autonomous Driving? Emotion Recognition Systems? Machine Learning? Do you also have any relevant background and would like to get your hands dirty on some challenging topics? Then shoot me an email! Don't forget to attach your CV and the list of the related work you've done before


Thesis Supervision

Ongoing:

  • Master Thesis: Modeling Eye Gaze of the Driver into a Multimodal Emotion Recognition System, Alexander Binsmaier, (start: October 2018)

  • Master Thesis: Illumination Resisted Emotion Recognition with Infrared Thermal Cameras, Toghrul Seyidov (start: October 2018)

  • Master Thesis: State Mapping of Reinforcement Learning Agent based on Safety-Criticality in CARLA Simulator, Lukas Heinzmann (start: November 2018)

Finished:

  • Guided Research: Emotion Recognition System for Evaluating the Comfort Level of the Occupants in an Autonomous Car , Mesut Kuscu (November 2017-April 2018)
  • Guided Research: Ensuring Safety of Machine Learning-based Systems, Saasha Nair (March-September 2018)
  • Master Thesis: Emotion Detection Through Speech Analysis in Resource Poor Environments, Felix Lachenmaier (start: June-November 2018)
  • Master Thesis: Enabling Federated Learning for Dynamic Driving in Autonomous Vehicles, Ankit Gupta, (start: June-November 2018)
  • Master Thesis: Driver-Behavior Modeling Based on Deep Learning for Automated Emotion Recognition, Mesut Kuscu, (April-August 2018)
  • Master Thesis: A Behavior-based Approach for Automotive Emotion Recognition Systems, Tahir Hacizade (January-August 2018)
  • Master Thesis: [External @BMW] Reinforcement Learning-based Comfort Functions in Automotive, Niko Tzioras (December 2017-August 2018)
  • Master Thesis: [External @BMW] Machine Learning-based Control of a Limited Slip Differential, Ana-Maria Radut (April-October 2017)
  • Master Thesis: Balancing Engagement and Distraction Level of Driver in Highly Automated Driving using Interactive Infotainment Systems, Christina Kopp (April-September 2018)
  • Bachelor Thesis: Developing a Smart Wiper System Adaptive to the Drivers' Behavior based on SVM, Deborah Höltje (March-September 2018)
  • Bachelor Thesis: An Evaluation of Safety Monitoring Framework on Obstacle Detection Application, Franziska Schwaiger (April-October 2018)
  • Bachelor Thesis: A Nueral Network-based Pedestrian Detection System (Case-Study: YOLO), Simon Zachau (November 2017-April 2018)


Publication

2019

  • Saasha Nair, Sina Shafaei, Stefan Kugele, Mohd Hafeez Osman and Alois Knoll: Monitoring Safety of Autonomous Vehicles with Crash Prediction Networks. The AAAI's Workshop on Artificial Intelligence Safety, 2019accepted - Honolulu, Hawaii more… BibTeX

2018

  • Mesut Kuscu, Sina Shafaei and Alois Knoll: Abnormal Driver Behavior Detection for Automated Emotion Recognition (Poster). 6th French-German Summer School, Emotion-aware Vehicle Assistants (EVA) 2018, 2018 more… BibTeX Full text (mediaTUM)
  • Sina Shafaei, Fabian Müller, Tim Salzmann, Morteza Hashemi Farzaneh, Stefan Kugele, Alois Knoll: Context Prediction Architectures in Next Generation of Intelligent Cars. 21st IEEE International Conference on Intelligent Transportation Systems, 2018 more… BibTeX
  • Sina Shafaei, Stefan Kugele, Mohd Hafeez Osman and Alois Knoll: Uncertainty in Machine Learning: A Safety Perspective on Autonomous Driving. First International Workshop on Artificial Intelligence Safety Engineering, 2018SAFECOMP Conference, Västerås, Sweden more… BibTeX
  • Sina Shafaei, Tahir Hacizade and Alois Knoll: Integration of Driver Behavior into Emotion Recognition Systems: A Preliminary Study on Steering Wheel and Vehicle Acceleration. International Workshop on Advanced Machine Vision for Real-life and Industrially Relevant Applications, ACCV, 2018 more… BibTeX
  • Stefan Kugele, David Hettler, Sina Shafaei: Elastic Service Provision for Intelligent Vehicle Functions. 21st IEEE International Conference on Intelligent Transportation Systems, 2018 more… BibTeX

2017

  • Ana Maria Radut, Sina Shafaei: A Regression-based Control Approach for Limited Slip Differencial. TUM (Technical Report), 2017, more… BibTeX Full text (mediaTUM)
  • 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. 15. Workshop Automotive Software Engineering, 2017 more… BibTeX Full text ( DOI ) Full text (mediaTUM)

2016

  • Farzaneh, Morteza Hashemi; Shafaei, Sina; Knoll, Alois: Formally verifiable modeling of in-vehicle time-sensitive networks (TSN) based on logic programming. 2016 IEEE Vehicular Networking Conference (VNC), IEEE, 2016 more… BibTeX Full text ( DOI ) Full text (mediaTUM)

up