プロフィール詳細

プロジェクトを作成

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Dr. Waseem A.に依頼

United Kingdom

Electrical engineer | Neuroscientist | AI researcher and practitioner | AWS | MLops | Software

プロフィール概要

Experienced Machine learning engineer with 6+ experience and a Ph.D., a postdoc, and industry experience to augment the skillset 3 years experience in AI/ML applied to life science data (Imaging, clinical data, omics data, structural and functional data of proteins, disease data, protein network data, gene network data) Well versed programmer with good command on 3 languages (R, Python, C++) and hands-on experience on some great ML libraries (Tensorflow, Theano, PyTorch, Scikit-learn, Keras, Pandas) Curious explorer with apt experience in frameworks such as Docker, Jupyter MATLAB lover with 10+ years of experience A perpetual learner with a background in electrical engineering but a gradual shift towards machine learning, data science and AI. Started from statistical signal processing and now excels in deep learning.

専門分野

• ☆ Biostatistics
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Data Architecture
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Fuzzy Logic
• ☆ Financial Modeling
• ☆ Statistics
• ☆ Comparative Analysis
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Trend Analysis
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Decision Science
• ☆ Risk Assessment & Actuarial Science
• ☆ Data Storage
• ☆ Python
• ☆ SPSS
• ☆ Matlab
• ☆ Excel
• ☆ Tensorflow
• ☆ LaTex
• ☆ R
• ☆ Scikit-learn
• ☆ Markup Languages
• ☆ Drug Discovery
• ☆ Drug Target Identification
• ☆ In vitro Diagnostics
• ☆ Biomarker Analysis
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Technology Scouting
• ☆ Fact Checking
• ☆ Literature Search
• ☆ Gap Analysis
• ☆ Skills Training
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ Instructional Materials
• ☆ White Papers
• ☆ Case Studies
• ☆ Science Communication
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Systematic Literature Review

サービス

• Writing

Writing Medical Writing, Non-Medical Regulatory Writing, Technical Writing, General Proofreading & Editing

職務経験

Data Engineer - Machine Learning Engineer

X-Chem

1月 2022 - 現在

Graduate Researcher

Universitat Oberta de Catalunya

11月 2016 - 現在

Graduate research assistant

Jeju National University

3月 2014 - 12月 2015

Data scientist

Protege Global

3月 2013 - 2月 2014

学歴

PhD (Network and Information Technologies)

Universitat Oberta de Catalunya

9月 2016 - 現在

Artificial intelligence

Open university of Catalunya

11月 2016 - 10月 2020

Master of Science (Ocean System Engineering)

Jeju National University

3月 2014 - 8月 2016

Bachelor of Science (Electronic Engineering)

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

8月 2007 - 6月 2011

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

David Masip, Waseem Abbas (2022). Computational Methods for Neuron Segmentation in Two-Photon Calcium Imaging Data: A Survey . Applied Sciences.

Waseem Abbas, David Masip Rodó (2022). Computational Methods for Neuron Segmentation in Two-Photon Calcium Imaging Data: A Survey . Applied Sciences.

Waseem Abbas, David Masip, Andrea Giovannucci(2020). Limbs Detection and Tracking of Head-Fixed Mice for Behavioral Phenotyping Using Motion Tubes and Deep Learning . IEEE Access. 8. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 37891--37901. Institute of Electrical and Electronics Engineers ({IEEE})

(2019). Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey . Sensors.

Waseem Abbas, David Masip Rodo(2019). Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey . Sensors. 19. (15). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 3274. {MDPI} {AG}

(2017). Automated gesture tracking in head-fixed mice . Journal of neuroscience methods.

CONFERENCE PAPER

(2014). Ultrasonic Sensor Communication System Using Steel Structures in Ship .

(2014). Data Mining in Insurance Claims (DMICS) Two-way mining for extreme values . 8th international conference on Digital Information Management.