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S M Masudur Rahman AL ARIF

S m masudur rahman al arif

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location of S M Masudur Rahman AL ARIFVeldhoven, North Brabant, Netherlands
Phone number of S M Masudur Rahman AL ARIF+91 xxxx xxxxx
Followers of S M Masudur Rahman AL ARIF487 followers

  • Timeline

    Dec 2010 - Oct 2012

    Lecturer

    Islamic University of Technology
    Sept 2012 - Sept 2014

    Masters Student

    Erasmus Mundus Masters in Vision and Robotics (VIBOT)
    Oct 2014 - Jan 2018

    Visiting Hourly Paid Lecture

    City, University of London
    London, United Kingdom
    Apr 2018 - Feb 2019

    Postdoctoral Researcher

    The Netherlands Cancer Institute
    Current Company
    Mar 2019 - now

    Team Lead

    ASML
    Veldhoven, North Brabant, Netherlands

  • About me

    Technical Team Lead at ASML, PhD in Computer Science

  • Education

    • City, university of london

      2014 - 2018
      Doctor of philosophy - phd machine learning in medical image analysis

      Activities and Societies: Deep Learning Data Analysis Machine Learning X-Ray Image Analysis Image Processing MATLAB Programming

    • Islamic university of technology

      2006 - 2010
      Bachelor of science (b.sc.) electrical and electronics engineering

      Activities and Societies: IEEE Bachelor and Masters in EEE

    • Heriot-watt university

      2012 - 2014
      Masters vision, image and robotics rank 2

      Activities and Societies: Computer Vision Medical Image Analysis Programming Robotics Erasmus Mundus VIBOTJointly conducted by: University of Burgundy, FranceUniversity of Girona, SpainHeriot-Watt University, UK

    • Islamic university of technology

      2010 - 2012
      Master of science (m.sc.) electrical and electronics engineering

  • Experience

    • Islamic university of technology

      Dec 2010 - Oct 2012
      Lecturer

      Courses Taken: Theory: Electrical Technology for Computers, Digital Electronics, Advanced Electronics II, Measurement and Instrumentation Lab/Sessional: Digital Signal Processing, Advanced Electronics II, Digital Electronics, Transmission & Distribution, Electronics II, Industrial Electronics II, Signal & System, Electrical Drawing & Drafting, Measurement & Instrumentation, Telecom. Principles.Other Services:Member:Meeting Arrangement Committee, Industrial Training Committee, Convocation Reception Committee and Newsletter Publication Committee.Time Judge: Annual Sports 2011, Annual Sports 2012 .Course Official: Short Course 2011: “Recent Developments in Wireless Communication”. Show less

    • Erasmus mundus masters in vision and robotics (vibot)

      Sept 2012 - Sept 2014
      Masters student

      Three semesters in three countries in Europe covering course related with Computer Vision, Medical Image Analysis and Robotics. FRANCE: University of Burgundy [UB]; SPAIN: University of Girona [UdG] and UNITED KINGDOM: Heriot-Watt University [HW]. Masters thesis done on Medical Image Analysis in Girona.

    • City, university of london

      Oct 2014 - Jan 2018

      I have defended my PhD thesis in Medical Image Analysis and Machine Learning from City, University of London on 29 November 2017. My PhD research revolves around solving computer vision problems in X-ray images of the cervical spine. I have extensively used random forest and deep learning methods to solve localization, detection, segmentation and shape prediction for cervical vertebrae. I have been able to produce a fully automatic framework, that takes a real-life emergency room lateral X-ray image of the cervical spine and can localize the spine, vertebrae centers, and corners, detect vertebral boundaries, segment vertebrae bodies and predict vertebrae shapes. I have written my own codes from scratch for random forests and created, modified and innovated several deep networks to solve different medical imaging problems. I am an expert level developer in Matlab, having more than 10 years’ experience with it. I have used MatConvNet toolbox for the implementation of deep methods in my PhD research. I am currently converting my implementations to Python codes using TensorFlow. My expertise in C++ is at the novice level. Show less

      • Visiting Hourly Paid Lecture

        Jan 2015 - Jan 2018

      • PhD Student

        Oct 2014 - Jan 2018

    • The netherlands cancer institute

      Apr 2018 - Feb 2019
      Postdoctoral researcher

      Rectal tumor segmentation in MRI images with Deep Learning.Used tools: Python, Tensorflow, PyTorchFocus: Development of novel architechture and loss function and training networks to learn only from a few images.

    • Asml

      Mar 2019 - now

      Managing a team of Design Engineers working on a wide-variety of metrology problems Algorithms, Image Processing, Optimization, Artificial Intelligence

      • Team Lead

        Mar 2022 - now

      • Design Engineer

        Mar 2019 - Jul 2023

  • Licenses & Certifications

  • Honors & Awards

    • Awarded to S M Masudur Rahman AL ARIF
      NVIDIA Titan X Pascal Donation NVIDIA Nov 2016 A Titan X Pascal GPU was awarded by NVIDIA corporation to support my PhD research involving deep learning methods.
    • Awarded to S M Masudur Rahman AL ARIF
      Best Paper Award MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging (CSI@MICCAI 2016) Oct 2016 My paper entitled 'Global localization and orientation of the cervical spine in X-ray images' received the best paper award at the 4th International Workshop and Challenge In Computational Methods and Clinical Applications for Spine Imaging (CSI), 2016, Held in Conjunction with MICCAI 2016, Athens, Greece.