Eushay bin Ilyas, M. Sc

Qualifikation:

• M.Sc. Information and Automation Engineering, Universität Bremen
• B.Sc. Electrical Engineering, University of Punjab, Pakistan

Forschungsaktivitäten:

• IoTCrawler

Interessensgebiete:

• IoT Sensor Networks
• Machine learning and Statistical Analysis

Publikationen:

• Iggena, T.; Bin Ilyas, E.; Fischer, M.; Tönjes, R.; Elsaleh, T.; Rezvani, R.; Pourshahrokhi, N.; Bischof, S.; Fernbach, A.; Xavier Parreira, J.; Schneider, P.; Smirnov, P.; Strohbach, M.; Truong, H.; González-Vidal, A.; Skarmeta, A.F.; Singh, P.; Beliatis, M.J.; Presser, M.; Martinez, J.A.; Gonzalez-Gil, P.; Krogbæk, M.; Holmgård Christophersen, S. IoTCrawler: Challenges and Solutions for Searching the Internet of Things. Sensors 2021, 21, 1559. https://doi.org/10.3390/s21051559
• Eushay Bin Ilyas, Marten Fischer, Thorben Iggena, & Ralf Tönjes (2020). Virtual Sensor Creation to Replace Faulty Sensors Using Automated Machine Learning Techniques. In 2020 Global Internet of Things Summit (GIoTS) (GIoTS'20)

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