Associate lecturer
Hamdan bin Mohammed Smart University
Total years of experience :27 years, 5 Months
Support product, sales, and leadership and marketing teams with insights gained from analyzing
company data. Using large data sets to find opportunities for product and process optimization and
using models to test the effectiveness of different courses of action. Strong experience using a
variety of data mining/data analysis methods, using a variety of data tools, building and
implementing models, using/creating algorithms and creating/running simulations.
* Work with stakeholders throughout the organization to identify opportunities for leveraging
company data to drive business solutions.
* Mine and analyze data from company databases to drive optimization and improvement of
product development, marketing techniques and business strategies.
* Assess the effectiveness and accuracy of new data sources and data gathering techniques.
* Develop custom data models and algorithms to apply to data sets.
* Use predictive modeling to increase and optimize customer experiences, revenue
generation, ad targeting and other business outcomes.
* Develop business related testing framework and test model quality.
* Coordinate with different functional teams to implement models and monitor outcomes.
* Develop processes and tools to monitor and analyze model performance and data accuracy.
Futuristic multi-modal transportation command and control center which monitors and controls all
of Dubai's mass transit, including the Dubai Metro, Dubai Tram, public buses, taxis and marine
transit, and traffic control systems all under one roof, and also supports the requisites of hosting
Dubai Expo 2020
* I was part of a team appointed by the Roads and Transportation Authority (RTA-Dubai) as
a Technical advisor to provide intelligent transportation system consultation at the
Enterprise Command and Control Centre (EC3), the cutting-edge transportation command
and control center for controlling traffic flow and providing on-ground support for public
transportation modules.
* The course of work involved handling traffic and transportation data collection at large
scales and analyzing traffic and transport data using machine learning and statistical analysis
techniques for transportation, in addition to flow planning and forecasting.
* The daily work performed included supervising in-house and on-ground operation teams
during events and incidents, daily operation management, work schedule planning and work
prioritization.
* The engagement required collaboration with other traffic and transportation agencies
including TRA and traffic police and coordination with transportation emergency and crisis
teams during events and high priority incidents.
Advised by: Prof. Nidal Kamel
Machine Learning
for different undergraduate final year projects- Universiti Teknologi PETRONAS,
Malaysia
Data Science A-Z™: Real-Life Data Science
Selecting maintenance practices based on environmental criteria: a comparative analysis of theory and practice in the public transport sector in UAE/DUBAI International Journal of System Assurance Engineering and Management
System for Detecting Driver Cognitive Distraction Using sub-space based technique
Functional Near Infrared Spectroscopy- (HITACHI)
R-principal subspace for driver cognitive state classification 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC
Quantitative Electroencephalogram (EEG) Analysis:Methods and Clinical Applications- (Universiti Teknologi Malaysia)
Topographic map analysis for driver cognitive distraction IEEE Conference on Biomedical Engineering and Sciences (IECBES)
EEG based driver cognitive distraction assessment 5th International Conference on Intelligent and Advanced Systems (ICIAS)
Oriented Energy in r-Principal Subspace for the Assessment of Driver Cognitive State Biomedical Signal Processing and Control
Deep in thought while driving: An EEG study on drivers' cognitive distraction Transportation Research Part F: Psychology and Behaviour Patents
Subspace-based Detection Method for the Driver's Cognitive Distraction using EEG (method and apparatus)
NeuroInformatics- (Cuban Neurosciences Center (CNEURO))
Brain and Nervous System Anatomy- (University Science Malaysia Hospital (HUSM))
Biostatistics and statistical analysis- (Universiti Teknologi PETRONAS)
Pattern Recognition and classi_cation: Methods and Applications- (Universiti Teknologi PETRONAS)
Institute of Health and Analytics - Universiti Teknologi PETRONAS Areas of study : - machine-learning algorithms - artificial intelligence - data analysis - statistical analysis - software engineering - quantitative and qualitative research analysis and Business Intelligence
Institute of Health and Analytics - Universiti Teknologi PETRONAS Areas of study : - machine-learning algorithms - artificial intelligence - data analysis - statistical analysis - software engineering - quantitative and qualitative research analysis and Business Intelligence
Institute of Health and Analytics - Universiti Teknologi PETRONAS Areas of study : - machine-learning algorithms - artificial intelligence - data analysis - statistical analysis - software engineering - quantitative and qualitative research analysis and Business Intelligence