²ÝÁñÉçÇøÈë¿Ú

Email

mahbubur.rahman@bcm.edu

Positions

Biostatistician

Medicine - Health Services Research
²ÝÁñÉçÇøÈë¿Ú
Houston, US

Postdoctoral Researcher

University of Texas Medical Branch Galveston
Galveston, Texas United States
• Designed and developed simulation software modules (R / C++) to quantify the protein turnover rate in the mass spectrometry data sets. • Enhanced the feature of the existing software package to handle large amount mass spectrometry data. • Analyzed large amount of mass spectrometry data and then applied quantitative, machine learning models to infer important information regarding the protein turnover, genetic influence on the protein turnover etc.

Data Science Technical Expert

Chegg
Fremont, California United States
• Mentored students in the data science courses. • Graded data science assignments, including machine learning, deep learning projects.

Machine Learning Engineer

GeminiData
San Francsico, California
• Designed and developed algorithms to extract distinguishable features from the unstructured data sets while applying machine learning models. • Incorporated open-source software packages in the cloud.

Software Engineer

VizExplorer
San Diego, California
• Developed data driven analytical software modules to improve the business intelligence. • Developed pattern recognition algorithms based on time course data from different database resources. • Developed a software prototype to map a conversational statement to a query statement while using the machine learning / deep learning models.

Education

PhD from University of Houston

05/2015 - Houston, Texas

Computational Modeling, Machine Learning

MSc from Texas Tech University

12/2010 - Lubbock, Texas United States

Computer Science, Machine Learning

BSc from Bangladesh University of Engineering and Technology

12/2006 - Dhaka, Dhaka Bangladesh

Computer Science and Engineering

Certifications

Houston VAMC

Udacity Deep Learning Online Nano Degree Certificate

Udacity

A comprehensive certification on different machine learning, deep learning technologies as deep neural network, recurrent neural network, convolutional neural network, generative adversarial network.

Honors & Awards

Udacity Deep Learning Online Nano Degree Certificate

Udacity (07/2018 - 12/2018)

Professional Statement

I am a machine learning data engineer at the Center for Innovations, Quality, Effectiveness & Safety (IQuESt) and Biostatistician at the ²ÝÁñÉçÇøÈë¿Ú (BCM). My background is in computer science and engineering and experience and expertise is in machine learning, deep learning algorithms design and development. I have been designing, developing data analytical based decision providing systems through my academic and industry career for the last ten years. I worked in artificial intelligence focused research projects funded by NSF, NIH during my Masters, PhD and Post-doctoral appointments and published related results in seven peer reviewed journals, two conferences and one book chapter. I am very much excited and interested to solve health care problems using AI technologies.

Websites

Selected Publications

• M.Garbey, M.Rahman, S.Berceli "A Multiscale Computational Framework to Understand Vascular Adaptation." Journal of Computational Science. 2015;
• Mahbubur Rahman "A novel index-based multidimensional data organization model that enhances the predictability of the machine learning algorithms." 6th international conference on data mining (DTMN’20). 2020;
• Rovshan G. Sadygov, Jayant Avva, Mahbubur Rahman, Kwanwong Lee, Sergei Ilchenko, Takhar Kasumov, Ahmad Borzou "an Automated software for in vivo Protein Turnover Analysis using Heavy water Labeling and LC-MS." Journal of Proteome Research. 2018;
• Mahbubur Rahman, Mustafa Duran "Deep Learning in Instructional Analysis, Design, Development, Implementation, and Evaluation." Applications of Machine Learning and Artificial Intelligence in Education, IGI global publishers. 2021;

Projects

Natural Language Processing algorithm for the extraction of the sleep parameters from the Polysomnography report

²ÝÁñÉçÇøÈë¿Ú (01/2022 - 12/2023)

Natural Language Processing algorithm for the extraction of the couple satisfaction index (CSI), quality marriage index (QMI) from the health factor template.

²ÝÁñÉçÇøÈë¿Ú, Center for Innovations in Quality, Effectiveness and Safety, Houston, TX 77030, USA (06/2024 - 09/2025)

Symptom extraction and associated prediction model development.

²ÝÁñÉçÇøÈë¿Ú, Center for Innovations in Quality, Effectiveness and Safety, Houston, TX 77030, USA (06/2023 - present)

Skills

Machine Learning Research and Development

Data mining using AI technologies.

Languages

Bengali, Arabic