Dr. Md Siddiqur Rahman

R&I Project Manager-
Interest: Artificial Intelligence, Machine Learning, Deep Learning
Email: ronicse59gmail.com

The world is filled with a lot of data. Pictures, music, words, spreadsheets, videos, and it does not look like it's going to slow down anything soon. Machine Learning brings the promise of deriving meaning from all of that data. I found machine learning not to be magic, but rather tools and technology that we can utilize to answer the question with our data. The real world actually very messy. Hard logical rules are not the way to solve really interesting real-world problems. We have to have a system that will learn to get the knowledge in. We cannot just program it all in. Artificial intelligence is an effort to build machines that can learn from their environment, from the mistake, and from people. And we are at a stage where we do not know what is the right path and the right breakthrough. There's certainly a whole raft of different approaches. One of the subfields we called Machine Learning, Pattern Recognition, Artificial Neural Network, Reinforcement Learning, for example. My vision, at each of my next step I will be exploring the art, science, and tools of machine learning. My vision, at each of my next step I will be exploring the art, science, and tools of machine learning.

Experience

R&I Project Manager

- France

Leading the consultant team and solving problem using artificial intelligence, machine learning, deep learning, etc. aiming to greeing the IT industry.

January 2023 - Present

Doctoral researcher

Institut de Recherche en Informatique de Toulouse (IRIT) - FR

Thesis: Deep Learning for En-Route Aircraft Conflict Resolution - two complementary approaches: In my Ph.D. research, I proposed two different machine learning applications based on a neural network and a deep neural network to resolve aircraft conflict considering either aircraft’s trajectory data or the corresponding images of the trajectories.

January 2019 - November 2022

Lecturer

University of Information Technology & Sciences (UITS) - BD

Prepared and gave lectures to the department of computer science & engineering. I have lectured mostly on machine learning, pattern recognition, programming languages, data structure, algorithms, and supervised student projects. Also, evaluate students’ test papers.

September 2018 - January 2019

Instructor

United International University (UIU) - BD

Prepared and delivered lectures on programming languages, data structure, and algorithms. I also supervised programming competi- tion teams to compete with other universities.

September 2016 - August 2018

Junior Software Engineer

mPower-Scial Enterprises Limited - BD

I worked with the software team to develop software mostly using Language: java, C#, and python, and Database: PostgreSQL. I developed software for Telenor Group (Telenor Group is an international provider of tele, data, and media communication services.)

June 2015 - September 2015

Instructor

United International University (UIU) - BD

Prepared and delivered lectures on programming languages, data structure, and algorithms. I also supervised programming competition teams to compete with other universities.

September 2014 - May 2015

Education

Ph.D. (Doctorate)

ENAC, IRIT, UT1, University of Toulouse - FR
Deep Learning for En-Route Aircraft Conflict Resolution - two complementary approaches

In my Ph.D. research, I proposed two different machine learning applications based on a neural network and a deep neural network to resolve aircraft conflict considering either aircraft’s trajectory data or the corresponding images of the trajectories. Fully funded by French government scholarship.
Keywords: Machine learning • Deep learning • Convolutional neural network • Multi-label classification • Air traffic control • En-route control

January 2019 - May 2022

Masters of science in computer science & engineering

United International University (UIU) - BD

Master Thesis: Application of two different machine learning methods to identify a specific DNA segment called promoter sequence with two journal publications including web-server for real-time test [1, 2].
CGPA: 4.0 on a scale of 4.0. Degree verification ID: 012171011
Rank: Summa cum laude (Top rank) and full free scholarship

January 2017 - September 2018

Bachelor of science in computer science & engineering

United International University (UIU) - BD

CGPA: 3.93 on a scale of 4.0. Degree verification ID: 011101010
Rank: Summa cum laude (Top rank) and full free scholarship

January 2010 - September 2014

Bachelor Thesis

Université Lumière Lyon 2 (ULL2) - FR

Bachelor Thesis: Developed a java tool to generate business process and deploy to the server. Fully funded by the Erasmus Mundus Scholarship.

June 2013 - July 2014

Publications

Journals & Conferences

  • MS Rahman, L Lapasset, J Mothe. Aircraft Conflict Resolution using Convolutional Neural Network on Trajectory Image. In the 21st International Conference on Intelligent Systems Design and Applications. page 806-815. Springer, Cham, 2022
  • MS Rahman, L Lapasset, J Mothe. Multi-label Classification of Aircraft Heading Changes Using Neural Network to Resolve Conflicts. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3, ISBN 978-989-758-547-0, ISSN 2184-433X, pages 403-411
  • MS Rahman. Supervised machine learning model to help controllers solving aircraft conflicts. In ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, pages 355–361. Springer, 2020.
  • L Lapasset, MS Rahman, J Mothe. Solving Aircraft Conflicts: data resources. 1st International Conference on Cognitive Aircraft Systems
  • MS Rahman, U Aktar, MR Jani, S Shatabda. iPro70-FMWin: identifying Sigma70 promoters using multiple windowing and minimal features. Molecular Genetics and Genomics 294 (1), 69-84
  • MS Rahman, U Aktar, MR Jani, S Shatabda. iPromoter-FSEn: Identification of bacterial σ70 promoter sequences using feature subspace based ensemble classifier. Genomics 111 (5), 1160-1166

    • Skills

    Background
    • Data Structure
    • Algorithms
    • Graph Theory
    • Dynamic Programming
      • Many others..
    Programming Languages & Tools
    • C#
    • C/C++
    Artificial Intelligence
    • Machine Learning (ML)
    • Convolutional Neural Network (CNN)
    • Deep Learning (DL)
    • Reinforcement Learning (RL)
    • Python
    • Tensorflow-Keras
    Work Environments
    • Operating system: Linux, Windows
    • IDE: PyCharm, Jupyter Notebook, Visual Studio, Eclipse
    • Document writing: Latex, MS-Word
    Competitive Programmer

    I have solved about 500 competitive programming problem. I was ranked 1 out of 100 contestants among all Bangladeshi programmers.

    Hobbies

    I enjoy traveling most of my time. I enjoy the mountains, swimming in the ocean, and exploring new cities. When forced indoors, I watch movies, read books, cook a variety of foods, and do some innovative programming, and I spend my free time exploring the latest technological advances in the world of artificial intelligence.

    Awards & Certifications

    • [2019 - 2022] - Full funded scholarship for the PhD program
    • [2017 - 2018] - Full free scholarship for the master program
    • [2010 – 2014] - Full free scholarship for the bachelor program
    • [2013 – 2014] - Erasmus Mundus mobility scholarship
    • [2013 – 2014] - Intra-University Programming Contest - (2 nd position)
    • [2012 – 2013] - Intra-University Programming Contest - (3 rd position)
    • [2011 – 2012] - Ranked 1 out of 100 contestants among all Bangladeshi programmers.