Md. Siddiqur

Rahman

Research Areas

Machine Learning, Deep Learning, Air Traffic Management

Contact Info

Skype Email

About

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.

January 2019 to Present

Ph.D. Researcher
Federal University Toulouse Midi-Pyrénées

Research Field: Machine Learning & Air Traffic Management

January 2017 to September 2019

Masters of Science in Computer Science & Engineering
United International University, Bangladesh

Current CGPA: 4.00 on a scale of 4.00
Area of thesis work: Identification of DNA promoter using machine learning
Degree Verification (ID: 012171011, BIRTH: 10/08/1988)

January 2010 to September 2014

Bachelor of Science in Computer Science & Engineering
United International University, Bangladesh

CGPA: 3.93 on a scale of 4.00
(Highest award called "Summa cum laude" in American Standard)
Degree Verification (ID: 011101010, BIRTH: 10/08/1988)

January 2010 to September 2014

Bachelor of Science in Computer Science & Engineering (Exchange Student)
Université Lumière Lyon 2, France

International Exchange Student of Erasmus Mundus cLINK Scholarship (10 months)
Supervisors: Dr. Nejib Moalla, Co-supervisors: Sophea Chhun
Area of Work: OCR, Web Application, Web Service

Research

Md Siddiqur Rahman. Supervised machine learning model to help controllers solving aircraft conflicts. ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 355-361, 2020. [Accepted]

Md Siddiqur Rahman, Usma Aktar, Md Rafsan Jani, and Swakkhar Shatabda. iPro70-FMWin: identifying sigma70 promoters using multiple windowing and minimal features. Molecular Genetics and Genomics, pages 1–16, 2018. [Accepted] [Webserver]

Md. Siddiqur Rahman, Usma Aktar, Md Rafsan Jani, and Swakkhar Shatabda. iPromoter-FSEn: Identification of bacterial σ70 promoter sequences using feature subspace based ensemble classifier. Genomics, 2018. [Accepted] [Webserver]

September 2014 to January 2015 and September 01, 2018 to January 12, 2019 (4 months)

Lecturer
University of Information Technology & Sciences, Bangladesh

☼ Courses: Computer Architecture, Mobile Applications, Algorithms

September 2014 to January 2015 and February 05, 2017 to Present (1 year 8 months)

Instructor
United International University, Bangladesh

☼ Courses: Structure Programming Language, Advance Programming Languages, Algorithms, Object Oriented Programming

June 1, 2015 to September 30, 2015 (4 months)

Junior Software Engineer
mPower-Social Enterprises Limited

☼ Web application development using Java, JavaScript and Play!2.0 Framework

September 2013 to July 2014 (10 months)

Erasmus Mundus Scholar
Université Lumière Lyon 2, France

Decision & Information Sciences for Production System (DISP) Lab

Summer 2011 to Spring 2013 (2 years)

Teaching Assistant
United International University, Bangladesh

☼ Courses: Structure Programming Language, Digital Logic Design, Advanced Programming, Object-Oriented Programming, Algorithms Laboratory.Algorithms, Software Engineering