Faculty – Page 3

Prof. Qutaibah: CAC Commissioner for ABET

May 14, 2023 / Leave a comment

Prof. Qutaibah Malluhi has been selected to serve as a CAC commissioner for ABET. The ABET computing accreditation commission (CAC) leads accreditation visits for computing programs worldwide, provides guidance and support to program evaluators, ensures consistent interpretation and application of accreditation criteria, and makes final accreditation decisions for each program. The commission is also responsible for reviewing and enhancing accreditation criteria, policies, and procedures.

CSE teams win four medals at International Invention Fair in the Middle East

March 24, 2023 / Leave a comment

Three inventions from Computer Science and Engineering (CSE) department won advanced awards in the 13th IIFME –International Invention Fair of the Middle East hosted in Kuwait. Dr. Khalid Abualsaud and his team have received a golden medal, while Prof. Sumaya Al-Maadeed and her team have received another golden medal and two bronze medals.

The fair was organized from the 12th to 15th of February 2023 by Kuwait Science Club under the Patronage of His Highness, the Emir of Kuwait, Sheikh Sabah Al-Ahmad Al-Jaber Al-Sabah, and in collaboration the International Federation of Inventors’ Associations (IFIA), World Intellectual Property Organization (WIPO), UNESCO, and the International Exhibition of Inventions of Geneva. This unique convention in the Middle East was received with great importance locally, regionally, and internationally. It highlighted the inventions, innovations, and creativity of youths and universities.

Dr. Khalid Abualsaud and his team have won the golden medal on an invention resulted from the CSE Senior Design Project (SDP) 2021/2022. Other colleagues from our department as well as the Department of Electrical Engineering have contributed to improve the work. The invention was filed under QU tracking code QU2022-022 and reporting U.S. Provisional Patent Application No. 63/421, 416 filed November 1, 2022. Ref: 432743.10335 [I-AMS.FID5168591] in the United States Patent and Trademark Office (USPTO). The system aims for continuous accurate blood glucose monitoring in a non-invasive manner. The current idea is that the device continuously measures blood sugar and notifies the patient in case of a significant increase in blood sugar that exceeds the limit of normal sugar level, or in case it drops below the limit.

The team of the project consists of the following members:

Contributor(s) Name(s)	Affiliation
Mazun Alshahwani,	Graduate Student, Dept. of Computer Science and Engineering, College of Engineering, Qatar University.
Noora Al Bordeni,	Graduate Student, Dept. of Computer Science and Engineering, College of Engineering, Qatar University.
Fatima Al-Kaabi,	Graduate Student, Dept. of Computer Science and Engineering, College of Engineering, Qatar University.
Sara Al-Mohannadi,	Graduate Student, Dept. of Computer Science and Engineering, College of Engineering, Qatar University.
Khalid Abualsaud	Lecturer of Computer Engineering, Dept. of Computer Science and Engineering, College of Engineering, Qatar University.
Muhammad E. H. Chowdhury	Assistant professor Dept. of Electrical Engineering, College of Engineering, Qatar University.
Elias Yaacoub	Associate professor Dept. of Computer Science and Engineering, College of Engineering, Qatar University.
Nizar Zorba	Professor, Dept. of Electrical Engineering, College of Engineering, Qatar University.

Prof. Sumaya Al-Maadeed and her research team have won another golden medal for inventing a “device and method for detecting cancer”, and two bronze medals for inventing a “mobile device to detect things and obstacles” and a “system to help people with visual impairment”.

The certificates and medals awarded to Prof. Sumaya Al-Maadeed and her team.

Part of the published news about the inventions in the local media.

CSE Team Wins Best Poster Award at ISID 2023

March 16, 2023 / Leave a comment

A CSE team led by Dr. Mohammed Al-Sada and Dr. Osama Halabi has received the Best Poster Award at the 3rd International Symposium of Intelligence Design (ISID 2023). The award was given for the poster paper titled “Virtual Reality Wearable Telexistence System Deployment and Evaluation Environment“.

(ISID 2023) is an international conference for researchers from various research fields to discuss the potential future of artificial intelligence and design. This symposium aims to introduce the latest research findings by world-class researchers who lead innovation design and research and discuss unexplored research areas in the field and the possibility of approaching new issues. ISID is hosted by University of Fukui, JAIST Co-AI Design Research Center, and supported by the grant from JAIST Co-AI Design Research Core.

The project is part of a collaboration between Qatar University and Waseda University. The research team includes Ms. Fatima Al-Yafei, Ms. Eman Al-Shaer, Ms. Bushra Alarqaban, Ms. Muneera Al-Yousef, Ms. Lujan Hayajneh, Mr. Abdulla Iskandar, Prof. Tatsuo Nakajima, Dr. Osama Halabi, and Dr. Mohammed Al-Sada.

The poster work is part of a larger project that explores using a VR based environment for the deployment and evaluation of wearable robotic systems, with emphasis on human-robot interaction in various contexts of use.

CSE Team Wins Best Paper Award at BIOSIGNALS 2023

February 18, 2023 / Leave a comment

A team from our CSE department has received the Best Paper Award in the 10th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNAL2023) conference with a paper titled “Wearable Data Generation Using Time-Series Generative Adversarial Networks for Hydration Monitoring”. The team includes Farida Sabry, Dr. Wadha Labda (LP), Eng. Tamer Eltaras, Ms. Fatima Hamza, and Dr. Qutaibah Malluhi. in collaboration with Dr. Khawla Elzoubi from Community College of Qatar.

BIOSIGNAL 2023 brought together researchers and practitioners from multiple areas of expertise working at the intersection of engineering, mathematics, statistics, computer science, data science, biology and medicine, who develop and apply algorithmic tools, models and techniques to solve challenging problems in biology and medicine. A diversity of signal types can be found in this area, including video, audio, electrophysiological signals, medical imaging, and other biological sources of information. The analysis and use of the diverse types of data seem across these applications often requires cross-disciplinary expertise and collaborative efforts and this conference aims to be a high quality forum to celebrate many of these ongoing interactions and research efforts.

Paper Abstract: Collection of biosignals data from wearable devices for machine learning tasks can sometimes be expensive and time-consuming and may violate privacy policies and regulations. Successful and accurate generation of these signals can help in many wearable devices applications as well as overcoming the privacy concerns accompanied with healthcare data. Generative adversarial networks (GANs) have been used successfully in generating images in data-limited situations. Using GANs for generating other types of data has been actively researched in the last few years. In this paper, we investigate the possibility of using a time-series GAN (TimeGAN) to generate wearable devices data for a hydration monitoring task to predict the last drinking time of a user. Challenges encountered in the case of biosignals generation and state-of-the-art methods for evaluation of the generated signals are discussed. Results have shown the applicability of using TimeGAN for this task based on quantitative and visual qualitative metrics. Limitations on the quality of the generated signals were highlighted with suggesting ways for improvement.