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Technical University of Munich
Technical University of Munich

Sina Shafaei

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

In a Nutshell

  • (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)

(Main/Co) Organizer of

Teaching

Winter Semester 2019/20:

Teaching Assistant:

Past:

Open Thesis Topics / Guided Research

 Are you interested in Autonomous Driving? Emotion Recognition Systems, Computer Vision or Resource Planning and Scheduling? Do you also have any relevant background and would like to get your hands dirty on some challenging topics? You already know my email address, don't forget to attach a copy of your CV as well!

Thesis Supervision

In Progress:

  • Master Thesis: Mapping Driver Behavior to Emotional Profiles with Machine Learning Techniques, Nina Fischer (June 2019)
  • Master Thesis: Multi-scale Fusion of RGB and IR images for Illumination Invariant Emotion Recognition, Ammar Sohail (May 2019)
  • Master Thesis: Increasing the Robustness of Emotion Recognition Systems by Modeling Eye Gaze in Highly Automated Driving, Shivendra Singh (May 2019)
  • Bachelor Thesis: Evaluating Emotional Measures of Affect Recognition for In-Cabin Environments, Thea Kramer (September 2019)
  • Guided Research: Automated Extraction of Ground Truth Data for Transcription and Annotation Purposes in Multimodal Emotion Recognition Datasets, Sayan Mitra (April 2019)
  • Guided Research: Maintaining Performance of the In-Cabin Multi-modal Emotion Recognition Systems with Continuous Learning, Eesha Kumar (Nov. 2019)
  • Guided Research: Enhancing the Accuracy and Performance of a Multimodal Emotion Recognition System by Integrating New Modalities, Riya Sharma (Nov. 2019)
  • Guided Research: Performance Analysis of a Multimodal Application Programming Interface (API) for Automatic Emotion Recognition in Cabin Environments, Negar Namdarian (Nov. 2019)
  • Guided Research: Designing an Efficient Scheduling Architecture for On-Chip AI-based Applications in Autonomous Vehicles, Mohammad Bagheri (Nov. 2019)

Finished:

  • Guided Research: Emotion Recognition System for Evaluating the Comfort Level of the Occupants in AV , Mesut Kuscu (Nov.2017-Apr.2018)
  • Guided Research: Ensuring Safety of Machine Learning-based Systems, Saasha Nair (March-September 2018)
  • Master Thesis: Enhancing the Emotion Detection Performance by Thermal Imaging for In-Cabin Environments, Toghrul Seyidov (October 2018-July 2019)
  • Master Thesis: Multimodal Sensor Fusion for Emotion Recognition in Vehicles, James Lawton (January-April 2019)
  • Master Thesis: A Study on Multisensory Data fusion with CNN and RNN in Behavioral Modeling, Maximilian Mahlberg (February-May 2019)
  • Master Thesis: State Mapping of Reinforcement Learning Agent based on Safety-Criticality in CARLA, Lukas Heinzmann (November-April 2018)
  • Master Thesis: Emotion Detection Through Speech Analysis in Resource Poor Environments, Felix Lachenmaier (June-November 2018)
  • Master Thesis: Enabling Federated Learning for Dynamic Driving in Autonomous Vehicles, Ankit Gupta, (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: Enabling Multi Face Detection in Multimodal Emotion Recognition Systems, Nikan Moghadam (March-August 2019)
  • 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

  • Christoph Segler, Stefan Kugele, Philipp Obergfell, Mohd Hafeez Osman, Sina Shafaei, Eric Sax, Alois Knoll: Evaluation of feature selection for anomaly detection in automotive E/E architectures. 41st International Conference on Software Engineering: Companion Proceedings, 2019 more… BibTeX
  • Lukas Heinzmann, Sina Shafaei, Mohd Hafeez Osman, Christoph Segler and Alois Knoll: A Framework for Safety Violation Identification and Assessment in Autonomous Driving. AISafety 2019 (The IJCAI-19 Workshop on Artificial Intelligence Safety), 2019 more… BibTeX
  • Mohd Hafeez Osman, Stefan Kugele, and Sina Shafaei: Run-time Safety Monitoring Framework for AI-based Systems: Automated Driving Cases. The 26th Asia-Pacific Software Engineering Conference, 2019 more… BibTeX
  • 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, 2019Honolulu, Hawaii more… BibTeX
  • Segler, Christoph; Kugele, Stefan; Obergfell, Philipp; Osman, Mohd Hafeez; Shafaei, Sina; Sax, Eric; Knoll, Alois: Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection. 2019 IEEE Intelligent Vehicles Symposium, 2019 more… BibTeX

2018

  • Christoph Segler, Sina Shafaei: Verfahren, Vorrichtung, Computerprogramm und Computerprogrammprodukt zur Datenbearbeitung für ein Fahrzeug. Patent Application DE 10 2018 202 348, 2018 more… BibTeX
  • 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)

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