Dr. Bahram Moobed

• Technical and scientific leading for design and development of an AI-based system of Mining & Optimisation of Business Processes, Workflows, and Communication in medical domain. • This system increases enormously the efficiency of workflows and communication in medical domains, specially those involving several actors (most of the workflows!) • Design and building from ground up of a cloud-based computing platform for the above system using the principles of DataOps and MLOps

***Design of a new disruptive knowledge management platform, with a unified theoretical and practical framework for structuring, storing and handling of knowledge, information and data using ML/AI ***Design of a distributed belief metrics platform based on a new paradigm, with a big impact on Recommender Systems, ML ranking and similar systems ***Design of a distributed ML/AI-based knowledge aggregation platform

• R&D for various data-driven enterprise business solutions for mobile workforce (external or internal mobility) with real-time monitoring metrics and dashboards, both for mobile workforce and the management, in domains including: Logistics, Construction site supervision, Retail, Technical maintenance, Sales force, Quality control, Audit, Transportation • R&D for an automated mobile data-acquisition app generation system, and an Enterprise mobility management system for mobile workforce analytics

Application of Analytics and real-time data in projects of ITS: •Truck-fleet data-driven dispatching, scheduling and monitoring (fuel consumption, cold chain) with considerable impact on fuel and staff costs, delivery times and performance •Real-time traffic analysis by analyzing vehicles' data and road sensors' data; using it for Realtime navigation •Realtime city-bus management and monitoring •Real time Taxi-fleet management •Connected device to analyze driving behavior for insurance companies

•Design and realization of a system for the digitalization, automation and optimization of data flows in all units and the central office: from order-taking, up to real-time flow of data to central office; with real-time metrics and KPIs for monitoring and management •A data-driven decision support system with a big impact on: costs, waste, customer satisfaction, performance of marketing plans, promotions, pricing, staff scheduling •Marketing-mix attribution, Market basket analysis, Behavioral modeling

•Complete business-process analysis in the entire organization •Propositions for BI/Analytics strategy of the organization and the usage of ML for the metrics and estimations used in decision-makings and optimizations. These propositions were implemented later with a remarkable impact on the financial results as well as the customers’ and staff’s satisfaction.

Thesis domains: Machine Learning, Data Fusion, Neural Networks, Bayesian Methods, Mathematical bases of Information and knowledge aggregation, Statistical decision-making

Thesis domains: Neural Networks, Pattern Recognition, Classification