On April 30th 2020, Professor Tareq Al-Naffouri delivered a talk on Optimal Regularization in Estimation, Detection, and Classification. Due to the COVID-19 pandemic, the talk was delivered online via Zoom.
To find the abstract of the talk, press here.
This year, the ISL department has welcomed 13 new interns from across the globe. These students are working with Professor Tareq Al-Naffouri on projects and research. Due to COVID-19, many interns are working remotely which is a unique experience for everyone involved.
Date: June 24th, 2019
Thesis topic : An asymptotic study of a particular classifier using random matrix theory tools in order to derive an approximation for its error rate.
This year, the ISL team attended the 2020 IEEE/ION Position, Location and Navigation Symposium. A team of Professor Tareq Al-Naffouri, Xing Lui and Tarig Ballal co-authored the Conference Publication titled GNSS Attitude Determination Using a Constrained Wrapped Least Squares Approach. The publication focused on GNSS Attitude Determination.
Since February 2020, ISL student Mohammed Al-Sharif has been participating in an internship at the California Institute of Technology. He was working with renowned Professor Babak Hassibi at Caltech's Electrical Engineering department.
The topic they are working on is indoor localization based on Riemannian optimization.
KAUST alumna Shamael Al-Shuhail won the prestigious Abu Dhabi International Exhibition & Conference (ADIPEC) Young Engineer of the Year Award at ADIPEC 2018 held in Abu Dhabi, UAE.
ISL scientists have developed a hybrid sensor network that overcomes the shortcomings of acoustic and optical waves. Acoustic and optical waves are two of the most commonly used underwater wireless communication systems.
The rapid growth of the world’s population demands more natural resources, food, and space. World renowned physicist Stephan Hawking has argued that soon we will require another world to live on because we are running out of space and natural resources.
In this talk, we represent recent advances of radio frequency (RF) sensing technology for healthcare, specifically in monitoring human activities inside homes, retirement facilities and hospitals. Sensing technologies and data analytics are considered powerful tools in efficient indoor monitoring of human activities.