Syukran Hakim Norazman

: Tokyo, Minami-Machida, *-24-14, Verude Casa 202 ? 194-0004

Address

Email : acya2s@r.postjobfree.com

Phone : +81-080-****-****

a) Profile

I have been a programming enthusiast since my teenage age. I enjoy writing codes for data/signal

processing, numerical analysis and machine learning (SVM). I also have deep interest in cryptography

and information security.

Age: 28 years old

Nationality: Malaysia

Language: Malay (native), English (IELTS 7.5), Japanese (JLPT 2)

b) Programming experiences, skillset.

Languages: Python, C/C++, VB.NET and Fortran77.

Most of my experiences are in image processing field. (Scikit-image and OpenCV)

Dev environment: Windows and Linux (Debian variant)

Machine learning (SVM)

CUDA: Numerical solver for Burgers' equation, image convolution

c) Working experiences

1. 2011-2012: Teaching assistant (C programming for numerical calculation).

2. 2012: Part time OCR developer for MyHalal Corp.

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3. 2015 onwards: Freelance programmer.

d) Education

Apr 2006 Mar 2009 Diploma in Electric and Electronic engineering

University of Selangor, Malaysia

Apr 2009 Mar 2011 Degree in Applied electronics

Tokyo University of Science, School of Industrial Science and Tech.

Apr 2011 Mar 2013 Masters Degree in Applied electronics

Tokyo University of Science, Graduate School of Industrial Science and Tech.

Sep 2013 Mar 2017 Ph.D. program (Expected graduation Sep 2017)

Tokyo Institute of Technology, Department of Information processing

e) Research summary

1. Undergrad thesis summary

Using diffraction images of particles inside fluid in a micro-channel, I reconstructed the 3D

coordinates and calculate the fluid velocities. Wall coatings will affect the velocity profile. Future

application in lab-on-chip technology.

2. Masters thesis summary

Based on particles intensity illuminated by evanescent light, I estimated the bio-particles Z-axis and

reconstructed the 3D coordinates and Brownian motion. Future application in biomedical field.

3. Ph.D. research summary

Given a transparent tissue sample taken from a cancer patient, can we estimate how severe the diseases

just based on its quantitative phase image? Probably yes.

Recent conferences & proceedings

1. "Application of digital holography on diagnosis of malignant lymphoma", 2015 14th Workshop on

Information Optics,

2. "Phase image analysis of liver tissue with Hepatocellular Carcinoma (HCC)", Optics & Photonics

Japan 2015

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3. "Digital Holography & Hepatocellular Carcinoma (HCC): Textural features on phase image", Optics

& Photonics Japan 2016

Links

1. https://github.com/shiragami

2. https://www.freelancer.com/u/tk2.html

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