ML Engineer with both industrial and academic experience specializing in data analysis, machine learning and deep learning algorithm development. Effective decision-making solutions, forecasting, classification, regressi…
ML Engineer with both industrial and academic experience specializing in data analysis, machine learning and deep learning algorithm development. Effective decision-making solutions, forecasting, classification, regression and prediction.
Research and Develop Deep learning models for multi-omics and multimodal data,
• Research on integrated neuroimaging methods:
o Medical imaging and genetic data classification (Cancer, Alzheimer Disease, …),
o GWAS association via deep learning models,
o PheWAS association and classification,
o Explainable AI and model interpretation,
Research and develop deep learning models for multi-omics and multimodal data
Research integrated neuroimaging methods
Medical imaging and genetic data classification for cancer and Alzheimer disease
GWAS association via deep learning models
PheWAS association and classification
Explainable AI and model interpretation
Research and Develop Deep learning models for multi-omics and multimodal data
Research on integrated neuroimaging methods: Medical imaging and genetic data classification (Cancer, Alzheimer Disease, …)
GWAS association via deep learning models
PheWAS association and classification
Explainable AI and model interpretation
Developed ML/deep learning models for gesture recognition using millimeter wave radar
Worked on customers’ projects as a team member and individually
Completed three projects individually
Contributed as a team member in five projects
Worked with image data (Range-Doppler Image), radar signals, and XY tracking data
Worked with FAE team towards handling customer’s projects
Supported customer service for ML solutions
Participated in hiring process
Worked on an interactive machine learning framework
Proposed a machine tutoring approach for skill-transfer and knowledge-transfer
Skill-transfer case study: Taiko-drum playing game
Knowledge-transfer case study: Robot assembly task
Published a paper in IEEE BigData international conference, Los Angeles, 2019
Submitted a journal paper “Machine Tutoring in Mutual Interactive Learning: a Robot Assembly Case Study”, IEEE Internet of Things Journal, 2023
Worked on business revenue forecasting project
Customer behavior analysis
Implemented as a practical case study in a coffee shop
Published a paper in Machine Learning and Data Mining (MLDM) international conference, New York, 2018
Submitted a journal paper “Revenue Forecasting in Smart Retail through Customer Clustering Analysis”, in 2023
Designed and developed company’s website www.serbazrentacar.com mostly using Joomla
Search Engine Optimizer (SEO)
Worked on Ethernet Passive Optical Network (EPON), WDMA Lab
Managed network traffic from OLT to ONU and passed to end users
Published three papers
Developed ML/Deep learning models for gesture recognition using millimeter wave radar
Worked on customers’ projects as a team member and individually
Worked with image data (Range-Doppler Image), Radar Signals, XY tracking data
Worked with FAE team towards handling customer’s projects
Support as customer service for ML solutions
Participated in hiring process
Worked on an Interactive Machine Learning framework
Proposed a machine tutoring approach for skill-transfer and knowledge-transfer
Skill-transfer case study: Taiko-drum playing game
Knowledge-transfer case study: Robot assembly task
Published a paper in IEEE BigData international conference, Los Angeles, 2019
Submitted a journal paper “Machine Tutoring in Mutual Interactive Learning: a Robot Assembly Case Study”, IEEE Internet of Things Journal, 2023
Worked on business revenue forecasting project
Customer behavior analysis
Published a paper in Machine Learning and Data Mining (MLDM) international conference, New York, 2018
Implemented as a practical case study in a coffee shop
Submitted a journal paper “Revenue Forecasting in Smart Retail through Customer Clustering Analysis”, in 2023
Worked on Ethernet Passive Optical Network (EPON), WDMA Lab
Manage network traffic from OLT to ONU and passed to end users
Published three papers
Designed and developed company’s website www.serbazrentacar.com mostly using Joomla
Search Engine Optimizer (SEO)
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
