kein Bild

Syed Sha Qutub -


Curriculum Vitae

  • Current - AI Research Scientist, Intel Labs, Munich, Germany
  • (2020 - Present) Ph.D. candidate, Technische Universität München (TUM), Germany
  • (2017 - 2020) Master of Science, Electrical Engineering, Technische Universität München (TUM), Germany
  • (2015 - 2017) Automotive Embedded Engineer, Continental Automotive, Bangalore, India
  • (2011-2015) Bachelor of Technology, Electronics and Instrumentation, JSS University, Mysore, India

Research Interest

  • Multimodals, Vision Language Models (VLMs), Object detection
  • Downstream task of VLMs
  • Trustworthy and Responsible AI
  • Uncertainty Estimation in DNN
  • Explianable AI
  • Robustness and Vulnerability of DNNs
  • Synthetic Datasets

Publications

2024

  • Sha, Qutub Syed; Paulitsch, Michael; Pattabiraman, Karthik; Hagn, Korbinian; Oboril, Fabian; Buerkle, Cornelius; Scholl, Kay-Ulrich; Hinz, Gereon; Knoll, Alois: Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models. , 2024 mehr… BibTeX Volltext ( DOI )
  • Sha, Qutub Syed; Paulitsch, Michael; Pattabiraman, Karthik; Hagn, Korbinian; Oboril, Fabian; Buerkle, Cornelius; Scholl, Kay-Ulrich; Hinz, Gereon; Knoll, Alois: Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models. , 2024 mehr… BibTeX
  • Syed, Qutub; Paulitsch, Michael; Hagn, Korbinian; Cihangir, Neslihan Kose; Scholl, Kay-Ulrich; Oboril, Fabian; Hinz, Gereon; Knoll, Alois: Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. , 2024 mehr… BibTeX Volltext ( DOI )
  • Syed, Qutub; Paulitsch, Michael; Hagn, Korbinian; Cihangir, Neslihan Kose; Scholl, Kay-Ulrich; Oboril, Fabian; Hinz, Gereon; Knoll, Alois: Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. , 2024 mehr… BibTeX

2023

  • Asgari Khoshouyeh, Ali; Geissler, Florian; Qutub, Syed; Paulitsch, Michael; Nair, Prashant; Pattabiraman, Karthik: Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, ACM, 2023, 1-17 mehr… BibTeX Volltext ( DOI )
  • Gräfe, Ralf; Sha, Qutub Syed; Geissler, Florian; Paulitsch, Michael: Large-Scale Application of Fault Injection into PyTorch Models -an Extension to PyTorchFI for Validation Efficiency. 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S), 2023 mehr… BibTeX Volltext ( DOI )
  • Gräfe, Ralf; Sha, Qutub Syed; Geissler, Florian; Paulitsch, Michael: Large-Scale Application of Fault Injection into PyTorch Models -an Extension to PyTorchFI for Validation Efficiency. 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S), IEEE, 2023, 56-62 mehr… BibTeX Volltext ( DOI )
  • Qutub, Syed Sha; Cihangir, Neslihan Köse; Rosales, Rafael; Paulitsch, Michael; Hagn, Korbinian; Geissler, Florian; Peng, Yang; Hinz, Gereon; Knoll, Alois C.: BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. 34th British Machine Vision Conference 2023, BMVC 2023, Aberdeen, UK, November 20-24, 2023, BMVA Press, 2023 mehr… BibTeX

2022

  • Qutub, Syed; Geissler, Florian; Peng, Yang; Gräfe, Ralf; Paulitsch, Michael; Hinz, Gereon; Knoll, Alois: Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs. In: Lecture Notes in Computer Science. Springer International Publishing, 2022 mehr… BibTeX Volltext ( DOI )
  • Qutub, Syed; Geissler, Florian; Peng, Yang; Gräfe, Ralf; Paulitsch, Michael; Hinz, Gereon; Knoll, Alois: Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs. In: Lecture Notes in Computer Science. Springer International Publishing, 2022 mehr… BibTeX Volltext ( DOI )

2021

  • Florian Geissler, Syed Qutub, Sayanta Roychowdhury, Ali Asgari, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman and Michael Paulitsch: Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision, 2021 mehr… BibTeX

2020

  • Syed Sha, Qutub; Grau, Oliver; Hagn, Korbinian: DNN Analysis through Synthetic Data Variation. Computer Science in Cars Symposium, ACM, 2020, 1-10 mehr… BibTeX Volltext ( DOI )