Md Ashraful Islam
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Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Md Ashraful Islam
- Current 3 years and 10 months, since Aug 2022
Research Associate
Technical University of Berlin
Project AIFRI - AI-based analysis of rail inspection data for optimized maintenance planning. Deep Learning based modelling from ultrasonic and eddy current sensor data.
- 10 months, Oct 2021 - Jul 2022
Working Student
Taffic Technology Services Europe GmbH
Project: Supporting Connected and Automated Vehicle Applications - Green Light Optimized Speed Advisory.
- 2 years and 2 months, Feb 2019 - Mar 2021
Research Assistant
Technical University of Munich (TUM), Munich
Major responsibilities: Data processing and Data Analysis Big Data Road Safety, Accident/Crash Analysis Project Name:Drive2theFuture - H2020 project Drive2theFuture develops training, HMI concepts, incentives policies and other cost efficient measures to promote and then to comparatively assess several alternative connected, shared and automated transport Use Cases for all transport modes and with all types of users (drivers, travellers, pilots, VRUs, fleet operators and other key stakeholders)
- 2 years and 11 months, Dec 2015 - Oct 2018
Junior GIS/RS Analyst
Institute of Water Modelling, Dhaka, Bangladesh
Ausbildung von Md Ashraful Islam
- 2 years and 8 months, Oct 2018 - May 2021
Transportation Systems
Technische Universitaet München
Intelligent Transportation Systems, Road Safety, GIS, Traffic Engineering, Transport Planning, Big data, Autonomous vehicles
- 1 year and 1 month, Jan 2017 - Jan 2018
Information technology
Institute of Information Technology, University of Dhaka
- Structured Programming, - Object Oriented Programming, - Data Structure & Algorithm - Data Communication and Computer Networks, - Mobile Application, - Net Technology - Databases
- 4 years and 6 months, Mar 2011 - Aug 2015
Urban and regional planning
Chittagong University of Engineering & Technology
Transportation Planning and Management Urban Planning Geoinformatics Environmental Planning
Sprachen
English
C1 (Fließend)
German
B1-B2 (Gute Kenntnisse)
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