prof. Ing. Radislav Šmíd, Ph.D.

Position

Full professor

Phone number

+420-2-2435-2131

Room

T2:A3-324

E-mail

smid [at] fel.cvut.cz
photo

Office hours: Friday 10:00-11:30 - pls book your time via smid.youcanbook.me 
Check calendar for my unavailability.

Teaching: B(E)3M38DIT Diagnostika a testování/Diagnostics and Testing

Semestral projects - topics in: Czech, English

Research interests: Signal Processing and Analysis for Diagnostics, Biomedical Apps and Communications. Non-destructive Testing (NDT), Structural Health Monitoring (SHM), Machine Condition Monitoring (MCM), Automated Testing and Monitoring, Fault Detection and Diagnosis, IIoT for MCM. 

CV: Curriculum vitae 

Info: LinkedIn | ResearchGate | ResearcherID | ORCID 0000-0003-4314-8841 | Google Scholar | Publons

Labs: Head of Laboratory for Diagnostics and Non-destructive Testing | Member of HF&BM Group

Societies and Activities:

  • Member of International Scientific Advisory Committee of International Conferences on Condition Monitoring and Machinery Failure Prevention Technologies organized by BINDT
  • Structured session organiser at The International Conferences on Condition Monitoring and Machinery Failure Prevention Technologies (organized by BINDT)
  • Chairman of International Program Committee of MESAQIN 2003 - 2011
  • Member of IEEE
  • Member of Czech National Committee IMEKO (International Confederation of Measurements)
  • Member of International Society for Condition Monitoring (ISCM)
  • ...

Supervised PhD Students

Name Research Area
Ing. Ondřej Fidra Advanced signal processing for diagnostics
Ing. Stanislav Drozd Wireless SHM using Guided Waves
Ing. Jan Cagáň Electrical Impedance Tomography
Ing. Lenka Michalcová NDT for Aircraft Composites
Ing. Ondřej Hanuš Diagnostics of Equipment Degradations

Past students supervised

Research Topics for Prospective PhD Students

Info for PhD students 

Theses Topics

► Machine Condition Monitoring (MCM): Virtual Sensors, Fault Detection & Diagnostics, Digital Twin
► Non-destructive Testing (NDT), Structural Health Monitoring (SHM)
► Industrial Internet of Things (IIoT): Wireless Low-power Vibration Monitoring HW, Edge Computing
► Microcontroller based Instrumentation, Embedded Signal Processing