KAUST CEMSE EE EMANG Abderrazak Chahid

Abderrazak Chahid

PhD Student, Electrical and Computer Engineering
Ph.D. Students
AdelBibi

Adel Bibi

PhD Degree, Electrical and Computer Engineering
Alumni
Adel is invited to give a talk in EECVC on "Optimization meets Deep Learning"
2 years ago
An Airline observatory created by Passengers for Passengers
6 months 3 weeks ago
KAUST-CEMSE-EE-ISL-Ayed-AlRashdi100CANON-img_9728.jpg

Ayed M. Alrashdi

MS Degree, Electrical and Computer Engineering
Students
KAUST CEMSE EE Eric Feron

Eric Feron

Professor, Electrical and Computer Engineering
Professors
KAUST CEMSE EE RISC Faran A. Qureshi

Faran Ahmed Qureshi

Postdoctoral Research Fellow, Electrical and Computer Engineering
Postdoctoral Fellows
KAUST-CEMSE-Ganesh-Sundaramoorthi

Ganesh Sundaramoorthi

Assistant Professor, Electrical and Computer Engineering
Alumni
KAUST CEMSE EE CTL Itsikiantsoa Randrianantenaina

Itsikiantsoa Randrianantenaina

PhD Degree, Electrical and Computer Engineering
Alumni
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Qilin Sun

PhD Student, Electrical and Computer Engineering
Students
KAUST CEMSE EE Primalight Qizhou Wang

Qizhou Wang

MS Student, Electrical and Computer Engineering
Students
KAUST CEMSE EE PhD Dissertation Defense Itsikiantsoa Randrianantenaina
Spectrum Management for Future Generations of Cellular Networks
Itsikiantsoa Randrianantenaina
Monday, July 08, 08:30
- 10:30
Building 1, Level 2, Room 2202
PhD Dissertation Defense
KAUST CEMSE EE PhD Dissertation Defense Adel Bibi Understanding a Block of Layers in Deep Neural Networks: Optimization, Probabilistic and Tropical Geometric Perspectives
Understanding a Block of Layers in Deep Neural Networks: Optimization, Probabilistic and Tropical Geometric Perspectives
Adel Bibi
Monday, March 30, 18:00
- 20:00
https://kaust.zoom.us/j/279877360
PhD Dissertation Defense
KAUST CEMSE EE Graduate Seminar Taous Meriem Laleg Virtual Sensing
Virtual sensing: methods and applications
Taous-Meriem Laleg-Kirati
Sunday, September 29, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Graduate Seminar