Fadillah Adamsyah Ma'ani

Fadillah Adamsyah Ma'ani

AI Engineer

Neurabot

Biography

Hello. I am an AI engineer at Neurabot working on microscopic image analysis using Deep Learning and Image Processing techniques. Currently, my main research interest is the application of Computer Vision and Deep Learning in medical imaging area.

I received my BSc degree in Physics Engineering from Institut Teknologi Bandung (ITB) with the Cum Laude predicate. During my last year on the university, I worked on Self-Driving Cars research, especially on Control Systems and State Estimation. I was a member of the ICoDeS Laboratory under Prof. Yul Y. Nazaruddin supervision.

You may want to take a look at my recent CV to obtain my complete information.

Interests
  • Computer Vision
  • Deep Learning
  • Medical Imaging
  • Machine Vision
  • Autonomous Vehicles
Education
  • BSc in Engineering Physics, 2020

    Institut Teknologi Bandung (ITB)

Experience

Work and Research

 
 
 
 
 
Neura Integrasi Solusi
AI Engineer
Feb 2021 – Present Indonesia

Supervisor: Dr. Thomhert Suprapto Siadari
Currently working on several projects, i.e.:

  1. Automatic Detection of Fasciola Eggs in Microscopic Images
  2. Semi-Automatic Objects Segmentation in Fundus Images
  3. Handy Tools for Computer Vision Projects

Tools      : Python, Github, DVC
Libraries   : Pytorch, Pytorch Lightning, Albumentations, OpenCV, Pillow, Segmentation Models Pytorch, Streamlit

 
 
 
 
 
Instrumentation, Control, and Decision Systems (ICoDeS) Laboratory
Undergraduate Research Assistant
Aug 2019 – Oct 2020 Bandung, Indonesia

References : Prof. Yul Yunazwin Nazaruddin & Augie Widyotriatmo, Ph.D.
I was an undergraduate member of the ICoDeS in the last year of my undergraduate university. Projects and research that I participated in are listed below:

  1. Implementation of Longitudinal and Lateral Control on Autonomous Vehicle
  2. Optimization of Longitudinal Control of Autonomous Vehicles
  3. Localization Method for Autonomous Car Using Virtual Sensing System

Tools      : Python, Arduino, ROS, CARLA Simulator, LaTeX
Libraries   : Numba, Numpy, Matplotlib, Pandas, Keras, Tensorflow
Sensors    : IMU, GNSS, Absolute encoder, Linear transducer
Actuators : Nema 34, Brushed DC motor

 
 
 
 
 
Toyota Motor Manufacturing Indonesia
Internship
Jun 2019 – Aug 2019 Jakarta, Indonesia
Worked with my friend on developing a low-cost internet-based automation system. We created an Arduino module enabling users to control bulbs from the internet. We also delivered hands-on tutorials on using Arduino.

Experience

Teaching

 
 
 
 
 
Institut Teknologi Bandung
Teaching Assistant
Aug 2017 – Jan 2021 Bandung, Indonesia

Responsibilities include delivering academic & hands-on tutorials, and examining assignments & quizzes. Courses:

  • Engineering Drawing (Nov 2020 - Jan 2021)
  • [Unofficial] Modern Control (Aug 2019 - Dec 2019)
  • Engineering Mathematics II (Jan - May 2019)
  • Circuits & Electronics (Aug - Dec 2018)
  • Engineering Drawing (Aug - Dec 2017)

Tools : LaTeX, Solidworks, LTspice

Achievements

3rd Place - Calculus Cup 2018
A competition of calculus quizzes held by Universitas Negeri Jakarta.
See certificate
Finalist - IoT Competition
A competition of innovative technologies using IoT concepts held by Telkom University.
See certificate
Certified SOLIDWORKS Associate
A certification of basic mechanical design skills using Solidworks held by Dassault Systemès.
See certificate
Awardee - “Beasiswa Unggulan” Scholarship
A merit-based full scholarship held by The Indonesian Ministry of Education and Culture starting from the 3rd semester until the end of my undergraduate study.
Semi-finalist - Calculus Cup 2017
A competition of calculus quizzes held by Universitas Negeri Jakarta.
See certificate

Recent Publications

Quickly discover relevant content by filtering publications.
(2021). An Approach for the Localization Method of Autonomous Vehicles in the Event of Missing GNSS Information. In SICE.

Cite

(2020). Localization Method for Autonomous Car Using Virtual Sensing System. In ICEVT.

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Courses

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