Homepage von Nishant Kumar

Wissenschaftlicher Mitarbeiter

Mr Nishant Kumar M.Sc.

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Professur für Computergraphik und Visualisierung

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Andreas-Pfitzmann-Bau, 2108 Nöthnitzer Str. 46

01187 Dresden

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Jun 2018- present	Wissenschaftlicher Mitarbeiter, CGV, TU Dresden
Oct 2015- Apr 2018	Masters degree: Nanoelectronic Systems, TU Dresden Thesis: Enhancing intraoperative neuroimaging by incorporating spatial regularization into semiparametric regression models
Oct 2013- Sept 2015	Software Engineer, HCL Technologies Ltd, Chennai, India
Aug 2012- Sept 2013	Software Engineer, Samsung India Electronics Ltd, Noida, India
2012	CV Raman Academic Medal, Institute of Engineering and Technology (IET), India/UK
2011-2012	Kaizen Robotics Program, Lema Labs, IIT Madras, India
2010-2012	CPBM, Shailesh J Mehta School of Management, IIT Bombay, India
2008- 2012	Bachelors degree: Electronics and Communication Engineering, Dr. MGR Educational and Research Institute, Chennai (Rank 2 out of 360 students) Thesis: FPGA based dynamic information flow architecture for Windows security and its implementation through mutex- semaphore mechanism.
2008	Rank 1 in Mathematics, All India Senior School Certificate Examination, Somerville School, Greater Noida, India

Reliable Machine Learning, Inverse Problems, Explainable AI, Ethical AI, AutoML

AI for Current Tomography (with Institute of Fluid Dynamics, HZDR) (Link)
ClinicalFusion (with Shanghai Tenth People's Hospital, Tongji University) (Link)

Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger, Mengze Li, Erdem Ünal, Abouzar Eslami, Stefan Gumhold. Enhancing Fairness of Visual Attribute Predictors. ACCV 2022. arXiv DOI Poster Code Video
Nishant Kumar, Pia Hanfeld, Michael Hecht, Michael Bussmann, Stefan Gumhold and Nico Hoffmann. InFlow: Robust outlier detection utilizing Normalizing Flows. arXiv Code
Nishant Kumar and Stefan Gumhold. FuseVis: Interpreting Neural Networks for Image Fusion Using Per-Pixel Saliency Visualization. MDPI Computers 2020. arXiv DOI Code Video
Nishant Kumar, Nico Hoffmann, Matthias Kirsch and Stefan Gumhold. Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. IEEE ISBI 2020. arXiv DOI Code
Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, and Stefan Gumhold. Structural Similarity based Anatomical and Functional Brain Imaging Fusion. MBIA@MICCAI 2019. arXiv DOI Poster Code
Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, and Stefan Gumhold. Multimodal Medical Image Fusion by Optimizing Learned Pixel Weights Using Structural Similarity Index. EMBC 2019. Paper Poster Code
Nishant Kumar. Enhancing intraoperative neuroimaging by incorporating spatial regularization into semiparametric regression models. Master Thesis Code