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CSE Best Senior Projects 2023
On May 25th, the highly anticipated senior projects’ presentations took place at the state-of-the-art new engineering building H07. These remarkable projects, the culmination of tireless efforts by talented students, were subjected to rigorous evaluation by industry examiners. After careful deliberation, three outstanding projects from each program, Computer Science (CS) and Computer Engineering (CE), emerged victorious. These exceptional teams have been chosen to proudly represent our department in the upcoming college contest day on June 11th. We eagerly anticipate the success that awaits our representatives as they compete at the college level, and we are confident in their abilities to make our department proud once again.
Winning Projects in CSE-SDP23 Contests Day
CE Rank 1
Project Title: Developing a Stealth Drone ‘’Ash”
Students: Fatimaelzahraa Ahmed, Noof Qassmi, Syeda Rizvi
Supervisor: Dr. Abdulla Al-Ali
Abstract :
Drones have become a popular tool for illegal activities such as political attacks, causing serious threats to global security. In order to address this issue, our project aims to demonstrate the limitations of current drone detection systems by constructing a stealth drone, which is called “Ash”. The current drone detection systems focus on detecting the drone based on it is Radio Frequency (RF) signature and its appearance using computer vision. The designed drone will be capable of operating in three different modes which are Wi-Fi, 915 MHz radio frequency signals, and autonomous mode using global positioning system (GPS). The project objectives include building the drone from scratch. In addition, communicating with the ground station on 915MHz frequency with a low signal power. The transmitted signal content is encrypted to avoid interference and intercepting. The drone will be camouflaged to evade detection by optical sensors.
In this project, we are evading the RF analyzers and the optical sensors drone detection systems. We are using LoRa technology to transmit on 915MHz using chirp spread spectrum (CSS) modulation technique, which is not commonly used by drones. This makes it difficult to be recognized by the RF analyzer as a drone communication signal. To evade detection by optical sensors, we are camouflaging the drone by adding an air balloon envelope on top of the drone’s frame. This makes it appear as a flying air balloon to the detection systems, which should confuse these systems that use computer vision and artificial intelligence.
To sum up, this project illustrates the importance of detecting drones accurately and the need for anti-drone systems to adapt to new technologies and tactics used by operators of unauthorized drones. By highlighting the weaknesses of current anti-drone systems, we aim to contribute to the development of more effective technologies to protect global security.
CE Rank 2
Project Title: Haptic Gloves Handball Goalkeeping Training System
Students: Ahmed Ibrahim, Renz Chuateco, Sayer El-Hadidy
Supervisor: Dr. Noora Fetais
Abstract:
The growing interest in harnessing Virtual Reality (VR) and haptic feedback for sports training has led to innovative approaches in skill development and performance enhancement. In handball, there is a need for immersive and accessible training tools for a wide range of players. This Computer Engineering Senior Design Project combines a Unity-based handball simulation with DIY haptic feedback gloves to create an immersive, cost-effective, and versatile training experience tailored to the needs of goalkeepers. The primary objectives of the project included developing affordable VR gloves with haptic feedback for tactile sensations in virtual interactions, creating a convincing handball simulation in Unity with various training scenarios for diverse skill levels, bridging the gap between real and virtual worlds by immersing players in an environment where they can play and feel simultaneously, and facilitating skill development by breaking down complex motor skills into subskills for targeted practice and assessment. Our methodology involved researching and identifying suitable components and techniques for constructing cost-effective DIY haptic feedback gloves, designing, and assembling gloves incorporating selected haptic feedback components with necessary hardware and software, and developing a handball simulation in Unity, focusing on realistic physics, diverse training scenarios, and seamless compatibility with the gloves. Consulting with coaches and players ensured authenticity and relevance. We implemented a system for breaking down motor skills into subskills, allowing targeted practice and assessment in the simulation, with performance metrics and data analysis providing feedback and tracking progress. Finally, we tested and validated the VR glove and handball simulation system, refining the design based on feedback from users and experts in the sport. The project successfully yielded a custom-made, affordable VR glove with haptic feedback capabilities, providing tactile sensations and force feedback during virtual interactions. The handball simulation in Unity featured realistic physics and diverse training scenarios, immersing players in a comprehensive training experience. The system demonstrated the ability to break down complex motor skills into subskills, facilitating targeted practice and assessment. User feedback and performance data indicated a positive impact on skill development and overall training effectiveness. The outcomes of this project have significant implications for the future of handball training and sports training in general. The integration of VR and haptic feedback technology offers an accessible and engaging alternative to traditional training methods. Practicing complex motor skills in a simulated environment enables players to focus on specific aspects of their performance, potentially accelerating skill development. The immersive nature of the virtual environment can help maintain player motivation and engagement. Despite limitations in replicating the full range of real-world interactions, the promising results highlight the potential for further exploration and refinement of VR-based training systems in handball and other sports. This project successfully combined DIY haptic feedback gloves and a Unity-based handball simulation to revolutionize goalkeeping training, demonstrating the potential of this platform to improve athletes’ performance and serve as a valuable training tool for handball clubs, coaches, and players across various skill levels and demographics.
CE Rank 3
Project Title: Asthma Assessment Device for Pediatric Patients
Students: Asma Alnuaimi, Fatemeh Ahmadizadeh, Muneera Alghfarn
Supervisor: Dr. Khalid Abualsaud
Abstract:
Asthma is a common lung illness that causes breathing difficulties. It affects people of all ages and generally begins in childhood; however, it can also appear in adults for the first time. There is presently no cure, but there are basic treatments that can help keep the symptoms under control [1]. This project aims to monitor asthma attacks for pediatrics under twelve years according to the following parameters: oxygen blood level, respiratory rate, and pulse rate. The resulting measures would be compared to pre-determined health standards. The respiratory rate is calculated and deduced by analyzing the result of air pressure sensor. The pulse rate and oxygen level are obtained from an oximeter. These measurements were compared with the normal health status to decide if the child has an asthma attack or not. The result is given within two minutes. The values of the three parameters and the final status of asthma are displayed on the screen. The main advantage of the project is that it is a monitoring device that can be used in a hospital or at home where parents can constantly check the status of their children in a short period of time without having to go to the hospital.
CS Rank 1
Project Title: Integrated Accident Detection and Evaluation System Based on Vehicular Networks and Artificial Intelligence (IADES)
Students: AlDanah AlAnazi, Dareen Douglas, Maryam Al-Meraikhi
Supervisor: Dr. Devrim Unal
Abstract:
Vehicle accidents are a global concern that inflates annually, resulting in massive losses in human lives, resources, and finances. Although some accidents might be minor, others can be fatal or cause long-term disabilities. Hence, in this project, we present a hybrid system that detects, estimates, and reports vehicle accidents as quickly as possible. The project’s primary objectives are saving people’s lives by reducing the reporting time, increasing the response of appropriate authorities and companies, and clearing road blockage that emerged from damaged vehicles. Consequently, the system is designed to achieve the above objectives with multiple components and new emerging technologies such as Artificial intelligence. In detail, the hybrid system consists of two devices, an AI accident detection model and a vehicle device represented in a collection of sensors, and microcontrollers. Designing a hybrid system eliminates any failure occurrence to the two devices rather than using each individually. For instance, severe accidents could damage the vehicle device and increase the likelihood of uncertain and false reported information or total data loss at worst. Moreover, previous works failed to address this, alongside estimating the accident severity from the collected data the hybrid system produces. Consequently, this project will benefit future studies and innovations by developing it into an avoidance system that aligns with the Smart Cities technology concept besides reducing physical, social, and financial costs of vehicle accidents.
CS Rank 2
Project Title: WEvents: A Mobile Application for Events Planning and Organizing
Students: Anwar Al-Hakawaty , Fatma Qassim , Shaikha Al-Asiry
Supervisor: Dr. Saleh Al-Hazbi
Abstract:
Life is full of joyful moments that are worth celebrating and creating memories that last a lifetime in individuals’ hearts. By organizing events, individuals share these memories with others as opportunities to communicate and share news and unforgettable experiences. In some communities, organizing significant events is a chance to gain reputation and status. Above all, organizing an event is not easy; what is supposed to be a happy and enjoyable time could turn into a stressful experience because organizing an event requires thinking and keeping in consideration different aspects, including the number of guests, venue, food, and drink. Moreover, the organizer has to search for good and trusted vendors to supply their needs without exceeding the budget limit. However, some people tend to avoid the daunting task and hire a professional planner. Each planner has a unique style and finding a planner that can meet one’s expectations is a challenging task. Some planners use different platforms to display their work and advertise their services. Nonetheless, some of these planners are not trustworthy as they pass off other people’s work as their own. This project aims to provide a solution in the form of a mobile application “WEvents”, that could assist people in organizing major events and finding appropriate event supplies.
For meticulous people, it is an opportunity to view and select event related items provided by different suppliers with their descriptions and price; the app will help them organize an event from scratch without exceeding the budget while recommending budget-friendly items and supplies depending on their event type. Planners can upload their contact details on WEvents, while clients can easily choose between planners and the available options. WEvents combines all types of supplies in one platform where users can easily scroll through different supplies categories. Moreover, Wevent supports local businesses; vendors and event planners will profit by being reachable to targeted audiences, thereby expanding their businesses. In this application, our goals have been accomplished by providing user friendly application that modified and enhanced traditional event planning process. Users are now able to easily and effortlessly search, filter, and organize their supplies. Also, for people who want to hire event planners they can easily find and communicate trusted companies or personal planners, we significantly improved efficiency. In addition, it is now a valuable opportunity for vendors to advertise their products and services to targeted groups of customers. Overall, our project has transformed traditional event planning into a fun, easy, enjoyable experience for everyone.
CS Rank 3
Project Title: Nadulk: Chalet Booking App in Qatar
Students: Hajar Alyafei, Amna Mohammed, Noora Almarri
Supervisor : Dr. Saleh Al-Hazbi
Abstract:
Individuals look for entertainment in life to help alleviate life’s stresses and difficulties, and chalets have become popular gathering places in Qatar due to cultural support and the fact that they are often less expensive than booking a hotel. However, booking chalets has become increasingly difficult as there is no central platform for promotion and booking as those present in other gulf countries. Customers have to ask family and friends for recommendations, and owners have to use social media for promotion and WhatsApp for booking, leading to difficulties managing communication with customers. To address this issue, a proposed solution called the Nadulk Application has been created. This application will make the process of booking a chalet easier for both customers and owners, allowing owners to manage chalet listings and customers to view photos and descriptions to book a chalet. The application is designed to solve customers and owners of chalets problems and facilitates the booking and managing chalets process using the mobile app.
Part of Computer Science and Engineering Senior Design Projects Exhibition Day 2023 for Male Students
On 11 June 2023, the six teams participated at the CENG Senior Project Designs 2023, and happily 3 teams out of the six were awarded again!
Our students Asma Alnuaimi, Fatemeh Ahmadizadeh, and Muneera Alghfarn won the 1st place in Best Prototype, Most Creative Design Award with their project titled: “Asthma Assessment Device for Pediatric Patients” and supervision by Dr. Khalid Abualsaud.
Our CSE students Ahmed Ibrahim, Renz Chuateco, and Sayer El-Hadidy won the 2nd place in Best Prototype, Most Creative Design Award, with their project titled: “Haptic Gloves Handball Goalkeeping Training System” and supervision by Dr. Noora Fetais.
Our CSE students our students AlDanah AlAnazi, Dareen Douglas, and Maryam Al-Meraikhi won the 2nd place in Best Marketable Design Award with their project titled: “Integrated Accident Detection and Evaluation System Based on Vehicular Networks and Artificial Intelligence (IADES)” and supervision by Dr. Devrim Unal.
Virtual Reality Lab Project Wins Second Place in “Innovators in Education”
Qatar University recently concluded its “Innovators in Education” project in the presence of Her Excellency Mrs. Buthaina bint Ali Jabor Al-Nuaimi, Minister of Education and Higher Education, and a number of officials, deans of colleges and students participating in the project. The project is a groundbreaking initiative aimed at fostering innovative educational methods and enhancing learning opportunities for students. It brought together educators and university students to design educational resources and develop effective solutions to address challenges in the educational field. Among the impressive array of winners, the “Virtual Reality Lab: Redefining Remote Education” project claimed second place in the category of multimedia and learning software. The project is developed by the students Ahmed Ammar, Abdul Aziz Al Hams, and Mohamed Al-Yazidi under the supervision of Dr. Osama Halabi. The achievement highlights the transformative potential of virtual reality technology in redefining remote education and creating immersive learning experiences for students.
Prof. Qutaibah: CAC Commissioner for ABET
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
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.
