A.A. (Ajinkya) Kadu
a.a.kadu@uu.nl
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Profile

I'm currently working at Mitsubishi Electric Research Labs in Cambridge, MA, USA (Summer Intern in Computational Sensing Group). An overview of the work can be accessed here. I'm particularly working on 'Inverse Scattering Problem' with Dr. Hassan Mansour and Dr. Petros Boufounos.

 

 

I am a final year PhD student in Mathematics at Utrecht University. I work with Dr. Tristan van LeeuwenProf. Wim Mulder (Shell and TU Delft) and Prof. K. Joost Batenburg (CWI) in the field of geometric inverse problems. My PhD project is part of ‘Computational Sciences for Energy Research’ (CSER), funded by NWO and Shell Global Solutions International B.V.

 

 I completed my bachelors and masters from Department of Aerospace Engineering, Indian Institute of Technology Bombay, in 2015. I worked with Prof. N. Hemachandra and Prof. R. P. Shimpi on the topic of 'risk aversion in competitive aviation markets'.

 

I am passionate about education and have been involved in educational outreach and mentoring activities. Along with research and education, I cherish interesting conversations on startup and artificial intelligence.

 

 

More info on a personal webpage: ajinkyakadu125.github.io

Strategic themes / Focus areas
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Curriculum vitae

Education:

  • 2015-2019 (Expected): Ph.D., Mathematics, Utrecht University, The Netherlands. 
  • 2010– 2015B.Tech + M.Tech, Aerospace Engineering, Indian Institute of Technology, Bombay, Mumbai, India.

 

Experience:

  • May-October 2018: Mitsubishi Electric Research Lab, Boston, MA (Research Intern)
  • Jan - Apr 2016: University of British Columbia, Vancouver (Visiting Researcher)
  • May - July 2014: Rediff.com Pvt. Ltd, Mumbai, India (Intern)
  • May - July 2013: Honeywell Technology Solutions, Bangalore, India (Intern)
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A list of my publications can also be found on Google Scholar and ResearchGate. Some of the journal articles are available on ArXiv.

Key publications

Kadu, A., Leeuwen, T. Van & Mulder, W. A. (2016). Salt Reconstruction in Full Waveform Inversion with a Parametric Level-Set Method. IEEE Transactions on Computational Imaging, PP (99), (pp. 1-14) (14 p.).

All publications
  2017 - Scholarly publications
Kadu, Ajinkya, van Leeuwen, Tristan & Batenburg, K. Joost (2017). A parametric level-set method for partially discrete tomography. Discrete Geometry for Computer Imagery - 20th IAPR International Conference, DGCI 2017, Proceedings (pp. 122-134) (13 p.). Springer.
Kadu, A.A., van Leeuwen, T. & Mulder, Wim (17.08.2017). Parametric level-set full-waveform inversion in the presence of salt bodies. SEG Technical Program Expanded Abstracts 2017 (pp. 1518-1522) (5 p.).
  2016 - Scholarly publications
Kadu, A., Leeuwen, T. Van & Mulder, W. A. (2016). Salt Reconstruction in Full Waveform Inversion with a Parametric Level-Set Method. IEEE Transactions on Computational Imaging, PP (99), (pp. 1-14) (14 p.).
  2016 - Other output
Kadu, A., van Leeuwen, T. & Mulder, W.A. (01.09.2016). A parametric level-set approach for seismic full-waveform inversion. (4 p.).
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Reconstruction of Salt Bodies in Seismic Full-Waveform Inversion
 
The interior of the earth can be imaged using seismic waves by solving a non-linear inverse problem. Such images are the main tool for locating oil and gas reservoirs in geologically complex areas. Of special interest are subsurface salt bodies, as reservoirs are often found next to or underneath them. Resolving such salt bodies is challenging and new techniques are needed to obtain better images of the structures beneath the salt. We aim to develop such techniques by including prior information in the reconstruction; salt bodies are continuous objects with (known) constant properties. The reconstruction of such objects is the subject of discrete tomography, and effective algorithms have been developed for linear inverse problems in tomography. Generalizing these techniques to non- linear problems, we can obtain more accurate estimates of the shape of the salt bodies and the properties of the earth
layers beneath them.
 
The Project is funded by Industrial Collaboration of Foundation of Fundamental Research on Matter (NWO-FOM) and Royal Dutch Shell. It is a part of Industrial Partnership Program (IPP) 'Computational Sciences for Energy Research.'

The research output is available on Researchgate and Github.

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Teaching Assistant (2017 - 18)

  1. Numerical Analysis (WISB251)
  2. Scientific Computing (WISB356)

 

Teaching Assistant (2016 - 17)

  1. Numerical Analysis (WISB251)
  2. Scientific Computing (WISB356)
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Additional functions and activities

I'm a founding member of SIAM Student Chapter at Utrecht University. The student chapter is headed by Felix Beckebanze and advised by Prof. Jason Frank and Dr. Tristan van Leeuwen. We organize monthly seminar in the field of applied mathematics.

The official site: https://uusiamchapter.wordpress.com/

If you're interested in presenting in our seminar, please contact me. Masters and PhD student working in the area of Applied mathematics are encouraged.

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Full name
A.A. Kadu Contact details
Hans Freudenthalgebouw

Budapestlaan 6
Room 703
3584 CD  UTRECHT
The Netherlands


Phone number (direct) +31 30 253 1458
Postal address
Budapestlaan 6
3584 CD    UTRECHT
The Netherlands
Availability
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Gegenereerd op 2018-09-21 14:04:14
Last updated 21.09.2018