Md.Adnan Riaz
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Md.Adnan Riaz
- Current 11 years and 3 months, since Mar 2015
PhD Student
Technische Universität Darmstadt and Karlsruhe Institute of Technology
- 6 months, Aug 2018 - Jan 2019
Visiting Researcher
Los Alamos National Laboratory
- 8 months, May 2014 - Dec 2014
Master Thesis
Karlsruher Institut für Technologie
Photo current spectrosocopy of Nano crystalline graphene.Optimization of Graphene synthesis process and also characterization of the graphene with raman spectroscopy and electrical transport measurement.Structuring devices with E-beam lithography and analyze the photo response of the graphene devices in various substrates.
- 1 year and 1 month, Apr 2013 - Apr 2014
Working Student
KIT - Karlsruher Institut für Technologie
X-ray microscopy for materials investigation
Developing a prototype to suppress reflected light from specular surface for improving the Laser surface velocimeter(LSV) working range.Intense reflected light form specular surface used to make detector blind.This intensity suppresion technique is used for making the working range of the LSV wider from diffusive surfaces to specular surfaces.
Developing a battery model for Electric vheicle using Matlab and simulink.
- 7 months, Mar 2011 - Sep 2011
Working Student
TU munich
µC progamming for nanosensor
- 8 months, Feb 2011 - Sep 2011
Working Student
Fairchild Semiconductor GmbH
Electronics lab assistant for PCB design and fabrication
- 2 years and 4 months, May 2009 - Aug 2011
Lecturer
American International University-Bangladesh
Ausbildung von Md.Adnan Riaz
- 2 years and 3 months, Oct 2012 - Dec 2014
Optics and Photonics
Karlsruher Institut für Technologie
-Optoelectronics - Nanophotonics - Optical Materials and devices - Non linear optics - Spectroscopic methods
- 3 years and 10 months, May 2005 - Feb 2009
Electronics Engineering
American International University-Bangladesh
1.Properties of materials 2. Digital electronics 3. Microwave engineering 4. VLSI circuit design 5. VHDL programming and syntehsis 6. Digital signal processing
Sprachen
English
C1 (Fließend)
German
B1-B2 (Gute Kenntnisse)
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