machine learning | ECE | Electrical and Computer Engineering

Xiangyu Cui

MS Student, Electrical and Computer Engineering

Arman Ibrayeva

PhD Student, Mechanical Engineering

Mohammed Aldosari

PhD Student, Mechanical Engineering

Faisal Mushayt

MS Student, Computer Science

Kumail Alhamoud

MS Student, Computer Science

Hussam Wael Ismail Ibraiwish

MS Degree, Electrical and Computer Engineering

Ismail AlQerm

PhD Degree, Computer Science

Khalil Elkhalil

Postdoctoral Fellow, Electrical and Computer Engineering

Mohamed A Suliman

Visiting Scholar, Information Science Lab

Tarek H. Mahmoud

PhD Student, Electrical and Computer Engineering

Abdallah Al-Moubayed

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering

Houssem Sifaou

PhD Degree, Electrical and Computer Engineering

Lama Burhan Niyazi

PhD Degree, Electrical and Computer Engineering

Abdullah Hamdi

PhD Student, Electrical and Computer Engineering

Mamdouh AlJoud

PhD Student, Electrical and Computer Engineering

Visitors

Basit Olakunle Alawode

PhD Student, Electrical and Computer Engineering

Visitors

Raphael Bridi

PhD Student, Electrical and Computer Engineering

Visitors

Lin Chen

Visiting B.S. Student, Electrical and Computer Engineering

Abdullah Adil Albakry

MS/PhD, Communication and Computing Systems Lab

Waleed Abu Laban

MS Student, Electrical and Computer Engineering

Abderrazak Chahid

PhD Student, Electrical and Computer Engineering

Jia-Hong Huang

MS Degree, Electrical and Computer Engineering

Salman Alsubaihi

MS Degree, Electrical and Computer Engineering

Hajar El Hammouti

Postdoctoral Research Fellow, Electrical and Computer Engineering

Fabian Heilbron

PhD Degree, Electrical and Computer Engineering

Victor Escorcia

PhD Degree, Electrical and Computer Engineering

Adel Bibi

PhD Degree, Electrical and Computer Engineering

Mohammad Tamim Alkhodary

PhD Student, Electrical and Computer Engineering

Matthias Mueller

PhD Degree, Electrical and Computer Engineering

Juan Manuel Marin Mosquera

PhD Student, Electrical and Computer Engineering

Ph.D. Students

Efficient Machine Learning across Hardware, Software, and Algorithms

Prof. Mohamed Abdelfattah, Electrical and Computer Engineering Department at Cornell University

Sunday, December 17, 14:00

- 15:30

Building 2, Level 5, Room 5209

Short Course

Machine Learning for Scalable MIMO Communication Systems: From Theory to Real-World Demonstration

Dr. Ahmed Alkhateeb, Electrical Engineering , Arizona State University

Monday, March 06, 14:00

- 15:00

Building 9, Level 2, Lecture Hall 1 “2322”

Machine-learning-assisted Quality of Transmission Estimation in Optical Networks

Andrea Bianco, Full Professor, Electronics and Telecommunications Department at Politecnico di Torino

Wednesday, February 08, 13:00

- 14:00

Building 9, Level 4, Room 4125

Machine Learning for Biomedical Engineering: from Oncological Electroporation to Gesture Recognition

Luciano Tarricone, Department of Innovation Engineering, University of Salento

Sunday, January 29, 12:00

- 13:00

Building 9, Level 2, Room 2325

machine learning

Graduate Seminar

ECCS Workshop 2022 KAUST and email announcements

Embedded and Cyber Connected Systems (ECCS) Workshop

Prof. Ahmed Eltawil, Prof. Charalambos Konstantinou, Prof. Khaled Nabil Salama

Sunday, November 27, 08:00

- 17:00

Building 2, Level 5, Room 5220

Machine learning in hardware via trained metasurface encoders: theory, design and applications

Maksim Makarenko

Wednesday, November 23, 10:00

- 12:30

Building 2, Level 5, Room 5209

Wide Bandgap Semiconductor Device Design via Machine Learning

Rongyu Lin

Wednesday, November 02, 15:30

- 17:30

Building 2, Level 5, Room 5220

KAUST CEMSE ECE Seminar Waheed Bajwa High dimensional

High-dimensional Regression and Dictionary Learning: Some Recent Advances for Tensor Data

Prof. Waheed Bajwa, Electrical and Computer Engineering, Rutgers University-New Brunswick

Wednesday, March 30, 14:15

- 15:15

Building 1, Level 3, Room 3119

machine learning

Visible Light Communications Technology and Machine Learning - 2020-10-20

Paul Anthony Haigh, Newcastle University, United Kingdom and Dr. Bo Tan, Tampere University, Finland

Tuesday, October 20, 15:45

- 17:15

KAUST

Understanding a Block of Layers in Deep Neural Networks: Optimization, Probabilistic and Tropical Geometric Perspectives

Adel Bibi

Monday, March 30, 18:00

- 20:00

KAUST

Reproducibility in Computer Science - Part 3

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

Wednesday, November 06, 16:00

- 17:00

Building 9, Level 3, Room 3223

Reproducibility in Computer Science - Part 2

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

Tuesday, November 05, 16:00

- 17:00

Building 9, Level 3, Room 3223

Reproducibility in Computer Science - Part 1

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

Monday, November 04, 16:00

- 17:00

Building 9, Level 3, Room 3223

Wireless Network Intelligence @ the Edge

Dr. Mehdi Bennis, Associate Professor, Centre for Wireless Communications, University of Oulu

Monday, July 08, 11:00

- 12:00

B 1, L 3, Room 3119

Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

Khalil Elkhalil

Monday, June 24, 09:00

- 10:00

Building 1, Level 4, Room 4214

Efficient Localization of Human Actions and Moments in Videos

Victor Escorcia

Tuesday, June 11, 15:00

- 16:00

B3, L5, 5220

Sim-to-Real Transfer for Autonomous Navigation

Matthias Mueller

Tuesday, May 14, 16:00

- 17:00

B2 L5 Room 5220

ML Hub Seminar Series | The Machine Learning (ML) Hub

Bernard Ghanem

Wednesday, February 13, 12:00

- 13:00

Building 9, Lecture Hall 2, Room 2325

machine learning