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CSE Faculty Awarded QJRC Grant
Dr. Mohammed Al-Sada, assistant professor at our department, and his team has been awarded a Qatar-Japan Research Collaboration (QJRC) cycle2 grant for the project titled: “A Versatile Telexistence System with Implicitly Assistive Telemanipulation Capabilities”.
QJRC, funded by Marubeni, brings together Qatar University and Japanese Universities to collaborate on research topics of mutual interest and develop high-quality, high-impact outcomes and prototypes that benefit both parties. QJRC paves the way for sustainable cooperation and helps, in a concerted manner, to fulfill the knowledge-based economy aspiration of Qatar.
The project’s team includes:
– LPI: Mohammed Al-Sada, Qatar University, Doha, Qatar.
– LPI: Prof. Tetsuya Ogata, Waseda University, Tokyo, Japan.
– PI: Prof. Tatsuo Nakajima, Waseda University, Tokyo, Japan
– PI: Dr. Osama Halabi, Qatar University, Doha, Qatar.
– PI: Dr. Faisal Al-Jaber, Qatar University, Doha, Qatar.
– PI: Dr. Sarada Prasad Dakua, Hamad Medical Corporation, Doha, Qatar
– PI: Dr. Pin-Chu Yang, Waseda University, Tokyo, Japan
– PI: Mr. Abdulla Iskandar, Waseda University, Tokyo, Japan
– PI: Mr. Naoki Hashimoto, Waseda University, Tokyo, Japan.
– Consultant: Dr. Yamen Saraiji, Sony AI, Tokyo, Japan.
Here is the project’s abstract:
In recent years, Qatar has faced pressing challenges in knowledge exchange and collaboration with the world across industrial and educational sectors. In response to such challenges, we fabricated a wearable telexistence system that can be used for knowledge transfer and remote collaboration tasks as part of QJRC-1. This proposal builds upon our system by addressing its key limitations through two main objectives. First, we propose a novel robot formfactor that enables the wearable robot to dock into a mobile robotic platform, that we called the Yorishiro system. This system provides stability, power, and enables using the robot in three Modes: i) Wearable Telexistence Mode: the robot is a fully worn system. ii) Augmented-Wearability Mode: the robot is worn by a surrogate user while attached to the Yorishiro System. iii) Mobile Telexistence Mode: the robot is completely independent from surrogate users and is a fully mobile system. Therefore, the Yorishiro system significantly increases the reliability and stability of the robotic system, and extending its usage and deployment domains for industrial and medical contexts.
The second objective is concerned with increasing the efficiency and accuracy of telemanipulation task by developing an implicitly assistive telemanipulation system for telexistence (ATX). Our ATX system mainly focusing on helping the robot operator to grasp tools with consideration to their affordances through deep learning based detection and motion generation method. ATX implicitly assists users by compensating operational errors during telemanipulation, thereby maintaining embodiment over the robot that is necessary to telexistence. The contributions of these objectives are significant, as we explore efficient novel formfactors for telexistence systems, and integrate assistive methods to ensure operational efficiency of the robot. To the best of our knowledge, these objectives have not been explored in any previous research, and advance the state of the art in telexistence systems.
CSE teams win four medals at International Invention Fair in the Middle East
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. |  |
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. |  |
CSE Team Wins Best Poster Award at ISID 2023
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“.
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
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.
CSE faculties awarded QU grants
Congratulations to the CSE faculties who were awarded several QU internal grants this cycle. Here is an overview of the winning projects led by our faculty members.
Project title: “Towards Robust Ethical and Pro-Social Artificial Intelligence Enabled Extended Reality (AI-XR) Metaverse Applications”
Project’s team: Dr. Junaid Qadi (CENG) (LPI), Dr. Osama Halabi (CENG), Dr. Ezieddin Elmahjub (CLAW), Dr. Abdulaziz Khalid Al-Ali (CENG), Dr. Khaled Shaban (CENG), Dr. Muhammad Bilal (UWE, UK).
Grant) category: High Impact Grant
Project abstract: These days the Metaverse—a more powerful and immersive iteration of the Internet—in which the virtual and physical world and realities will be seamlessly meshed—is fast emerging. The metaverse will be based on Artificial Intelligence (AI) and Extended Reality (XR) applications that leverage Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) technological developments. The metaverse, like the current Internet, will leverage information and communication technologies (ICT), but it will be qualitatively different by enabling real-life-like 3-D experiences through the incorporation of AI-XR technologies. The adoption of the vision of metaverse by numerous companies such as Facebook (now called Meta), Microsoft, Google, and Amazon, and the infusion of billions of dollars of investment, promises to be the harbinger of a great transformation. However, there are numerous open socio-technical issues that need investigation. How can we ensure that the wellbeing of the society and the human individuals improves through the development of the metaverse? How can we ensure that the virtual world is more safe, inclusive, and pro-social? In this project, we propose to study these problems as a transdisciplinary team comprising of principal investigators from the College of Engineering, College of Law, and College of Arts and Sciences at the Qatar University. The team is well-positioned to undertake this research due to their prior background in AI Ethics, AI Regulation, XR technology from complementary perspectives (engineering, socio-technical, ethical, legal, and philosophical). We will study the security and robustness of AI-XR Metaverse Applications and will develop technical, policy, and legal solutions for ensuring a Secure, Robust, and Prosocial Future for AI-XR Metaverse Applications. Through this research project, we aim to develop research linkages across QU Colleges and Centers and perform capacity building while also working on a project that has national, regional, and international significance.
Project title: “Pervasive AI-Based smart health framework over 6G Networks”
Project’s team: Dr. Amr Mohamed (CENG) (LPI), Dr. Elias Yaacoub (CENG) Dr. Abdulla Al-Ali (CENG), Dr. Nikhil Navkar (Collaborator)
Grant category: IRCC grant
Project abstract: Smart health (s-health) technologies have great potential to improve healthcare services of countless individuals. However, we need to proactively address the technical, social, and ethical challenges appearing with the deployment of such technologies, hence, the potential benefit is not hindered. The prompt evolution of Artificial Intelligence (AI) approaches, Internet of Things (IoT)-based systems, and 6G technologies is paving the road towards a plethora of s-health applications. Indeed, pervasive AI, defined as the paradigm of smartly distributing AI techniques in healthcare systems, has been envisioned to revolutionize several societal, economic, and industrial aspects of our future by enabling real-time machine-to-machine and human-to-machine interactions in the 5G era and beyond. Thus, our vision is to provide scalable and cost-effective healthcare services for the Qatari citizens without even getting to the hospital. Our project goal will be broadly to develop a pervasive AI-based s-health framework that integrates the power of AI for efficient medical data processing with 6G technologies for providing smart and policy-driven medical data management. We plan to leverage advanced AI techniques at different network’s levels, such as federated learning, and multi-agent reinforcement learning, while providing optimized medical data delivery across heterogeneous 6G network for immediate response, i.e., minimum delays, and energy efficiency. Hence, driven by dignified progress in computational and communication techniques, we believe that we can support a radical improvement in healthcare systems. Furthermore, one of our aims is to support good coordination and collaboration amongst different healthcare stakeholders and national health information systems through developing an s-health data sharing system to jointly gather, process, and analyze health-related information. Through this project, we plan to foster the collaboration with international partners in University of Guelph, in addition to the local healthcare stockholders, such as Hamad Medical Corporation. This will enable us to develop innovative techniques for diagnosis, prognosis, development of follow-up therapeutic strategies for the patients, while focusing on the health priority areas in Qatar, such as diabetes, cancer, and neurological diseases. Specifically, we plan first to design and implement a novel architecture that leverages AI approaches and 6G technologies to fulfill diverse QoS requirements of s-health applications. Then, we will leverage this architecture for developing optimized AI-based processing, event-detection, and network-aware solutions that aim to collect, process, and transfer the acquired patients’ data in an efficient and cost-effective way that allows for implementing advanced healthcare services.
Project title: “Bypassing Intrusion detection systems using Generative Adversarial Networks”
Project’s team: Dr. Abdulaziz Al-Ali (QU-KINDI/GENG) (LPI), Dr. Abdelhak Belhi (Joaan bin Jassim Academy for Defense Studies, Ministry of Defense), Dr. Abdelaziz Bouras (GENG), Dr. Sandy Rahme (QU-KINDI)
Grant category: Collaborative grant
Project abstract: In this project, the goal is to investigate the ability to automatically bypass network intrusion detection systems and firewalls using generative models placed in a reinforcement learning setup. The overall idea consists of leveraging recent advances in machine learning and artificial intelligence to validate the claim that bypassing security appliances in networks can be automated and made easier. The current state of the art suggests that using generative models for network packet crafting has great potential when it comes to the quality of the generated packets; thus, motivating us to direct the packet generation towards the specific goal of the project.
Project title: “Intelligibility Assessment of Dysarthria using Vocal Information and Machine Learning for Healthcare Application”
Project’s team: Dr. Sumaya Al-Maadeed(GENG) (LPI), Dr. Moutaz Saleh (CENG), Dr. Abdulnaser Fakhrou (CEDU), with collaboration with VIT University, India.
Grant category: International Research Collaboration Co-Fund
Project abstract: Speech disorders related to neurological problems affect the person’s ability to communicate through speech. Dysarthria is a speech problem caused by muscle weakness, resulting in slurred, slow, and incomprehensible speaking. Automatic dysarthria intelligibility assessment from speech can be a useful clinical tool in the treatment of dysarthria. Cerebral palsy, amyotrophic lateral sclerosis (ALS), and Autism spectrum disorder are dysarthric severe speech disorders. In the project, we aim to develop a tool to detect the early stage of dysarthric disorders. In the first part of the work, we mainly concentrate on feature extraction using the glottal excitation source, spectral and prosodic features of verbal and non-verbal vocalizations. In the second part of the work, we aim to use machine learning algorithms to detect the stage of the particular speech disorder. Further, by using the proposed feature extraction process and machine learning algorithms we aim build a cost effective tool to detect the early stage and severe speech disorder. Later, we aim to deploy the developed tool in healthcare centers to detect the early stage of Dysarthric and other speech disorders. Prior to develop the tool, we aim to collect voice samples from the dysarthric person.
CSE Team Wins Best UREP 2022 Presentation
A CSE team of undergraduate students, supervised by our faculty member Dr. Noora Fetais, won the Best Presentation award in the 14th Annual Undergraduate Research Experience Program (UREP) competition, which was held on 18th of October 2022. The winning project is titled “Intelligent and Immersive Cultural Game using Virtual Reality” and the team consists of the students Yahia Boray, Hesham Zaky, and Omar Osman.
UREP is one of the main programs offered by Qatar National Research Fund (QNRF) and designed to fulfil its aims in developing research infrastructure in Qatar by establishing the basis of scientific research at the undergraduate level. UREP provides a great opportunity for undergraduate students to experience scientific research and to engage in the various processes to build skills essential for the professional development of the students.
The developed game aims to preserve and spread cultural practices. It introduces new gaming mechanics, allowing user interaction with virtual game objects using hand gestures. The user’s objective is to hunt prey in their natural habitat which means that the player will physically change his location to hunt a specific prey using his falcon to mimic how the falcon hunts for its’ prey in the real world. This interaction with the real world, along with the incorporation of realistic graphics and mixed reality features, enhances the user’s experience and helps in preserving cultural practices.
Previous work tried to achieve the same goal by different approaches that led to different user segments and different usability cases. One major limitation in that work was the accessibility due to the use of specialized hardware. The hardware is accessible to only a small segment of users, and due to the challenges forced by the COVID19 situation reusing the hardware is prohibited in conferences or exhibitions.
As a result, not many will have access to the developed solution. The new implementation was designed to work on both Android and IOS to have a social interaction between the largest possible numbers of players. Other features that could also contribute to the goal of the project include building a virtual museum and displaying real falcons using the capabilities mixed reality has to offer.
Congratulations to the winning team!