10+ years of experience in fields of Machine Learning, Embedded Systems, Data Communication and Information Security associated with extensive experience in Product Management, Project Management, IT Governance and Compliance. Over the course of my professional career, I have successfully managed large-scale projects of different levels of complexity and budegts. I have also worked as a Product Manager for Huawei Technologies for three years managing the full-range portfolio of Data Communication products. My academic performance along with my innovative and entrepreneurial achievements were recognized by the Swedish Ministry of Foreign Affairs, who presented me the honor of the Global Swede award for the year 2017.
I am currently engaged in SimuSafe Project– Simulator of behavioral aspects for safer transport (www.simusafe.eu) as a Data Analytics PhD student with Mälardalen University in Sweden.
Reaction Time Variability Association with Safe Driving Indexes (Jun 2020) Mohammed Ghaith Altarabichi, Mobyen Uddin Ahmed, Maria Rita Ciceri , Stefania Balzarotti , Federica Biassoni , Debora Lombardi , Paolo Perego Transport Research Arena (TRA2020)
A Vision based Indoor Navigation System for Individual with Visual Impairment (May 2020) Mobyen Uddin Ahmed, Mohammed Ghaith Altarabichi, Shahina Begum, Fredrik Ginsberg , Robert Glaes , Magnus Östgren , Hamidur Rahman, Magnus Sörensen International Journal of Artificial Intelligence (IJAI)
Supervised Learning for Road Junctions Identification using IMU (Mar 2019) Mohammed Ghaith Altarabichi, Mobyen Uddin Ahmed, Shahina Begum First International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2019)
|Deep learning to classify driving events using GPS data||available|