Sina Shafaei

shafaei [at]

Room: MI 03.07.057

Phone: +

Fax: +

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

Office Hours: By email

In a Nutshell

  • (2017-2022) 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 Assistant:

Seminars and Lab Courses:

  • (Winter Semester 2021-22): Master Seminar: Emotional Awareness in Autonomous Driving
  • (Summer Semester 2021): Master Seminar: Emotional Awareness in Autonomous Driving
  • (Winter Semester 2020-21): Master Seminar: Resource Planning in Autonomous Driving
  • (Winter Semester 2020-21): Master Lab Course: Developing a Resource Planning Platform for Autonomous Vehicles
  • (Winter Semester 2019/20): Master Seminar: Emotional Awareness in Autonomous Driving
  • (Winter Semester 2019/20): Master Seminar: Realization of AI Applications in Autonomous Cars
  • (Summer Semester 2019): Master Seminar: Emotional Awareness in Autonomous Driving
  • (Summer Semester 2019): Master Seminar: Advanced Methods for Emotion Recognition in Highly Automated Driving
  • (Winter Semester 2018/19): Master Seminar: Online Learning in Autonomous Driving
  • (Winter Semester 2018/19): Lab Course: Build Your Own Demonstration Platform for Autonomous Driving
  • (Summer Semester 1018): Master Seminar - Reinforcement Learning in Autonomous Driving
  • (Summer Semester 2018): Master Seminar - Machine Learning in Robot Assisted Therapy
  • (Winter Semester 2017/18): Master Seminar - Context Prediction in Autonomous Driving
  • (Winter Semester 2017/18): Lab Course - Deterministic Networking Lab

Thesis Supervision

Finished Works:

  • 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)
  • Guided Research: Enhancing the Accuracy and Performance of a Multimodal Emotion Recognition System by Integrating New Modalities, Riya Sharma (Nov.-June 19-20)
  • Guided Research: Audio Modality and Signal Processing in Multimodal Emotion Recognition Systems, Sweety Mohanty (Nov.-Aug. 19-20)
  • 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-March 2020)
  • Master Thesis: The Role of Physiological Signals in Multimodal Emotion Recognition Solutions in the Era of Autonomous Driving, Simge Özcan, (Feb.-Aug.2021)
  • Master Thesis: Audio Modality and Signal Processing in Multimodal Emotion Recognition, Sweety Mohanty (Nov.20-June.21)
  • Master Thesis: Performance Analysis of a Multimodal Application Programming Interface (API) for Automatic Emotion Recognition in In-Cabin Environments, Yueming Li (Oct.20-Apr.21)
  • Master Thesis: Mapping Driver Behavior to Emotional Profiles with Machine Learning Techniques, Nina Fischer (June19-Jan.20)
  • Master Thesis: Machine Learning-based Improvement of Multimodal Emotion Recognition System, Mohammad-Amin Ahantab (June-Jan. 19/20)
  • Master Thesis: Evaluating the Scheduling Architectures for AI-based Applications on the Platform of Autonomous Vehicles, Fabian Müller (Dec.-Aug. 19-20)
  • Master Thesis: Increasing the Robustness of Emotion Recognition Systems by Modeling Eye Gaze in Highly Automated Driving, Shivendra Singh (May-Dec. 2019)
  • 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: Multi-scale Fusion of RGB and IR images for Illumination Invariant Emotion Recognition, Ammar Sohail (May-Jan. 19/20)
  • 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)
  • Bacelor Thesis: Analytical Evauation of In-Cabin Emotional Profiles for Automated Emotion Recognition, Jannatul Ferdous (Apr.-Aug.2021)
  • Bachelor Thesis: [External @Elektrobit] Development of a Driver Assistant System based on Electronic Horizon Data, Lennard Riedel (Nov. 2019)
  • Bachelor Thesis: Evaluating Emotional Measures of Affect Recognition for In-Cabin Environments, Thea Kramer (Sep.-Jan. 19/20)
  • 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)



  • Askaripoor, Hadi; Shafaei, Sina; Knoll, Alois: A Flexible Scheduling Architecture of Resource Distribution Proposal for Autonomous Driving Platforms. Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, SCITEPRESS - Science and Technology Publications, 2021 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Nair, Saasha; Shafaei, Sina; Auge, Daniel; Knoll, Alois: An Evaluation of “Crash Prediction Networks” (CPN) for Autonomous Driving Scenarios in CARLA Simulator. SafeAI 2021 - The AAAI's Workshop on Artificial Intelligence Safety, 2021, mehr… BibTeX Volltext (mediaTUM)


  • Hammann, Michael; Kraus, Maximilian; Shafaei, Sina; Knoll, Alois: Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier. CoRR abs/2003.00770, 2020 mehr… BibTeX Volltext (mediaTUM)


  • 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 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • 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 mehr… BibTeX Volltext (mediaTUM)
  • 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 mehr… 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 mehr… BibTeX Volltext (mediaTUM)
  • 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 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Shafaei, Sina; Hacizade, Tahir; Knoll, Alois: Integration of Driver Behavior into Emotion Recognition Systems: A Preliminary Study on Steering Wheel and Vehicle Acceleration. In: Computer Vision – ACCV 2018 Workshops. Springer International Publishing, 2019 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)


  • Christoph Segler, Sina Shafaei: Verfahren, Vorrichtung, Computerprogramm und Computerprogrammprodukt zur Datenbearbeitung für ein Fahrzeug. Patent Application DE 10 2018 202 348 A1, 2018 mehr… 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 mehr… BibTeX Volltext (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 mehr… BibTeX Volltext (mediaTUM)
  • 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 mehr… BibTeX Volltext (mediaTUM)
  • Stefan Kugele, David Hettler, Sina Shafaei: Elastic Service Provision for Intelligent Vehicle Functions. 21st IEEE International Conference on Intelligent Transportation Systems, 2018 mehr… BibTeX


  • Ana Maria Radut, Sina Shafaei: A Regression-based Control Approach for Limited Slip Differencial. TUM (Technical Report), 2017, mehr… BibTeX Volltext (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 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)


  • 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 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)