A.A. (Ajinkya) Kadu
a.a.kadu@uu.nl
Gegenereerd op 2018-06-23 20:11:23


Profiel

I am a third year Ph.D. student at Mathematics department, Utrecht University. I work with Dr. Tristan van Leeuwen, Prof. Wim Mulder and Prof. K. Joost Batenburg in the fields of seismic imaging, level-set methods, and geometric inverse problems. My Ph.D. project is part of ‘Computational Sciences for Energy Research’ (CSER).

 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 supply chain in 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

 

Strategische thema's / focusgebieden
Vaardigheden
Computational Modelling (Julia, NetLogo, R, Python, Mathematica)
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Curriculum vitae

Education:

  • 2015-2019 (Expected): Ph.D., Mathematics, Utrecht University, The Netherlands. Advisors: Dr. Tristan van Leeuwen, Prof. Joost Batenburg, and Prof. Wim Mulder
  • 2010– 2015: B.Tech + M.Tech (Dual Degree), Aerospace Engineering, Indian Institute of Technology, Bombay, Mumbai, India. Advisors: Prof. N Hemachandra and Prof. R P Shimpi

Experience:

  • May-August 2018: Mitsubishi Electric Research Laboratories, Boston, MA
  • Jan - Apr 2016: Visiting Researcher, University of British Columbia, Vancouver. 
  • May - July 2014: Data science Intern, Rediff.com Pvt. Ltd, Mumbai, India
  • May - July 2013: Industry Intern, Honeywell Technology Solutions, Bangalore, India 
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Sleutelpublicaties

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.).

Alle publicaties
  2017 - Wetenschappelijke publicaties
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 - Wetenschappelijke publicaties
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 - Overige resultaten
Kadu, A., van Leeuwen, T. & Mulder, W.A. (01-09-2016). A parametric level-set approach for seismic full-waveform inversion. (4 p.).
^ naar boven
Gegenereerd op 2018-06-23 20:11:23
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 project output is available on Researchgate and Github.

Researchgate: https://www.researchgate.net/profile/Ajinkya_Kadu2

Github: https://github.com/ajinkyakadu125/

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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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Nevenfuncties

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.

Gegenereerd op 2018-06-23 20:11:23
Volledige naam
A.A. Kadu Contactgegevens
Hans Freudenthalgebouw

Budapestlaan 6
Kamer 703
3584 CD  UTRECHT

Telefoonnummer direct 030 253 1458
Postadres
Budapestlaan 6
3584 CD    UTRECHT
Aanwezigheid
Ma Di Wo Do Vr
Ochtend
Middag
Gegenereerd op 2018-06-23 20:11:23
Laatst bijgewerkt op 12-04-2018