Lehrstuhl für Mechatronik in Maschinenbau und Fahrzeugtechnik (MEC)



Email: sandesh.hiremath(at)mv.uni-kl.de

Phone: +49 631/205-3455

Fax: +49 631/205-4201



Gebäude 65, Raum 420

67663 Kaiserslautern 


  • Operator semigroups
  • Levy/Gaussian processes
  • Random Dynamical Systems 
  • Optimal/Stochastic control    
  • Statistical optimization
  • Computer vision 
  • Stochastic algorithms  
  • Multiscale mathematical modeling 


  • Masters in Informatics  at TU Kaiserslautern
  • PhD in Mathematics at TU Kaiserslautern 
  • Algo-developer at Valeo Schalter und Sensoren DAR-Germany Kronach.  
  • Since April 2021 postdoc at Mechatronic department TU Kaiserslautern


PDE based dense depth estimation for stereo fisheye image pair and uncertainty quantification.
Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12251. Springer, Cham.
S. Hiremath

FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving.
2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 574-581.
V. R. Kumar, S. Hiremath, S. Milz, C. Witt.

Learning 3D Joint Constraints from Vision based Motion Capture Datasets
IPSJ Transactions on Computer Vision and Applications 11, Article number: 5, 2019.
P. Murthy, H. Butt, S. Hiremath.

Multiscale modeling of acid mediated cancer invasion with random dynamics.
PhD thesis at the TU Kaiserslautern. (PhD Thesis)
S. Hiremath

Modeling of pH regulation in tumor cells: Direct interaction between proton-coupled lactate transporters and cancer-associated carbonic anhydrase.
MBE, 2019, 16(1), 320-337.
S. Hiremath, C. Surulescu, H. Becker.

On a coupled SDE-PDE system modeling acid-mediated tumor invasion.
DCDS-B, 2018, 23(6), 2339-2369.
S. Hiremath, S. Sonner, C. Surulescu, A. Zhigun.

Mathematical models for acid-mediated tumor invasion: deterministic and stochastic approaches.
In A. Gerisch, R. Penta, J. Lang (eds): Multiscale Models in Mechano and Tumor Biology: Modeling, Homogenization, and Applications, Lecture Notes in Computational Science and Engineering, Springer Verlag Heidelberg, (2017), ISBN 978-3-319-73371-5
S. Hiremath, C. Surulescu.

A stochastic model featuring acid induced gaps during tumor progression.
Nonlinearity 29 (2016) 851-914.
S. Hiremath, C. Surulescu.

A stochastic multiscale model for acid mediated cancer invasion.
Nonlin. Analysis B: Real World Appl. 22 (2015) 17-205.
S. Hiremath, C. Surulescu.

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