プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Muhammad J.に依頼

Germany

PhD in Computer Science | Expert in Scientific Visualization, Data Analysis & Algorithm Development

プロフィール概要

I am an accomplished IT scientist with a PhD in Computer Science, specializing in medical visualization and software development. My work has focused on developing advanced visual analysis systems and software pipelines for complex imaging data, contributing significantly to projects at the University of Münster and the Leibniz Institute of Plant Genetics and Crop Plant Research. I have a strong analytical skills, quick adaptability to new research areas, and a systematic approach to problem-solving. I take pride in consistently delivering high-quality results, whether working independently or as part of a team, and I am committed to the success of every project I undertake.

専門分野

• ★ Predictive Modeling & Analytics
• ★ Python
• ★ Matlab
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Trend Analysis
• ☆ SQL
• ☆ Excel
• ☆ LaTex
• ☆ R
• ☆ Scikit-learn
• ☆ Markup Languages
• ☆ Data-Driven Decision Making

サービス

• Research
• Data & AI

Research Scientific and Technical Research

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing, Data Insights

職務経験

Research Scientist in Image Analysis

Leibniz Institute of Plant Genetics and Crop Plant Research

6月 2021 - 12月 2023

Visualization Engineer

Westfälische Wilhelms-Universität Münster Fachbereich 09 Philologie

2月 2017 - 5月 2021

Visualization Engineer

Constructor University Bremen gGmbH

1月 2015 - 1月 2017

学歴

Doctorate

Westfälische Wilhelms-Universität Münster - Germany

2月 2017 - 7月 2020

MS CS&E (Research Center for Modeling and Simulation)

National University of Science and Technology

9月 2011 - 4月 2014

BS (CS) (I.T)

University of the Punjab

8月 2006 - 9月 2010

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Muhammad Jawad, Christian Liebmann, Rebecca Buchholz, Vanessa Hoesker, Claudia Terwesten-Solé, Uwe Karst, Lars Linsen, Thomas Vogl, Verena Hoerr, Moritz Wildgruber, et al.(2022). Fingerprints of Element Concentrations in Infective Endocarditis Obtained by Mass Spectrometric Imaging and t-Distributed Stochastic Neighbor Embedding . ACS Infectious Diseases. 8. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 360--372. American Chemical Society ({ACS})

Schwarz, C., Buchholz, R., Jawad, M., Hoesker, V., Terwesten-Solé, C., Karst, U., Linsen, L., Vogl, T., Hoerr, V., Wildgruber, M., et al.(2022). Fingerprints of Element Concentrations in Infective Endocarditis Obtained by Mass Spectrometric Imaging and t-Distributed Stochastic Neighbor Embedding . ACS Infectious Diseases. 8. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 360-372.

Muhammad Jawad, Jens Soltwisch, Klaus Dreisewerd, Lars Linsen(2020). Interactive Visual Analysis of Mass Spectrometry Imaging Data Using Linear and Non-Linear Embeddings . Information. 11. (12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 575. {MDPI} {AG}

Jawad, M., Soltwisch, J., Dreisewerd, K., Linsen, L.(2020). Interactive visual analysis of mass spectrometry imaging data using linear and non-linear embeddings . Information (Switzerland). 11. (12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1-22.

BOOK CHAPTER

Muhammad Jawad and Vladimir Molchanov and Lars Linsen(2020). A Reproducibility Study for Visual MRSI Data Analytics . Communications in Computer and Information Science. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 362--388. Springer International Publishing

Jawad, M., Evers, M., Gerwing, A., Herick, M., Seibert, D., Bauer, J., Kugel, H., Ohrmann, P., Linsen, L.(2019). A Visual Analytics Approach for Comparing Cohorts in Single-Voxel Magnetic Resonance Spectroscopy Data . Advances in Experimental Medicine and Biology. 1138. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 115-136.

Muhammad Jawad and Marina Evers and Alexander Gerwing and Maria Herick and Daniel Seibert and Jochen Bauer and Harald Kugel and Patricia Ohrmann and Lars Linsen(2019). A Visual Analytics Approach for Comparing Cohorts in Single-Voxel Magnetic Resonance Spectroscopy Data . Advances in Experimental Medicine and Biology. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 115--136. Springer International Publishing

CONFERENCE PAPER

Jawad, M., Molchanov, V., Linsen, L.(2020). A Reproducibility Study for Visual MRSI Data Analytics . Communications in Computer and Information Science. 1182 CCIS. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 362-388.

Jawad, M., Molchanov, V., Linsen, L.(2019). Coordinated image- and feature-space visualization for interactive magnetic resonance spectroscopy imaging data analysis . VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 3. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 118-128.

(2019). Coordinated Image- and Feature-space Visualization for Interactive Magnetic Resonance Spectroscopy Imaging Data Analysis . Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.

(2018). Designing Ensembles for Uncertainty-aware Vessel Segmentations from MRI Data. Computer Assisted Radiology and Surgery (CARS).

CONFERENCE POSTER

Jawad, Muhammad and Linsen, Lars(2017). Visual Analysis of Magnetic Resonance Spectroscopy Imaging Data for the Study of Human Brain Tumors . EuroVis 2017 - Posters. The Eurographics Association