Project Title: Design and Implementation of a Pulsatile Syringe Pump system for In-Vitro Cardiovascular Studies.
Abstract:
Cardiovascular Diseases (CVDs) were responsible for nearly one third of all deaths in 2019. These conditions are major health issues in Qatar as well. One of the most common approaches for cardiovascular research is adapting in-vitro perfusion platforms where cultured cardiac cells are exposed to a physiological flow environment to examine the progression of CVDs. In current practice, there are several systems such as peristaltic pumps, piston pumps, pneumatic pumps, or syringe pumps used for the generation of continuous fluid flow over cultured cells. However, these systems have major limitations and none of the existing systems in the market fully replicate complex flow profiles over extended durations while maintaining a sterile environment, hindering efficiently studying CVD progression and/or advancing therapies.
Students Names: Hamza M. Dahir, Mohmmed Riazul Islam Sarker, S M Khaled H. Mahin
Supervisor: Dr. Muhammad Enamul Hoque Chowdhury
Project Title: Microgrids design for commercial farms in Qatar (Iberdrola).
Abstract:
Electricity supply to commercial farms in distant areas can be achieved either through building a local microgrid to supply the required load power, extending the utility grid to the farm site, or a combination of both. An increasing number of commercial farms exist in Qatar to cover the growing demand. Investigating feasible methods to supply electrical power to remote farms is thus a necessity to satisfy both the technical and economic requirements. In terms of microgrid resources, solar PV and battery storage are among the locally suitable candidates. An optimal techno-economic microgrid design should also consider meeting the load profile requirements with least-cost option through optimal sizing of solar PV and storage assets. The interactions between different microgrid devices should be governed by an adequate energy management strategy to sustain the supply reliability, depending on the chosen configuration and grid connection point availability.
Students Names: Abdalla S. Sharfeldin, Ahmed M. Shehata, Mohammad H. Abuasal
Supervisor: Dr. S. M. Muyeen, Dr. Maher Azzouz
Project Title: Machine Learning Based Classification of Adventitious Lung sounds.
Abstract:
The respiratory muscles, lungs, and trachea form the human respiratory system. Lung sounds are the tones produced by the tissues of the respiratory system. The movement of air in between the environment and the lungs (inspiration) causes these breathing sounds (expiration). The two basic categories of breathing sounds are normal and abnormal. The abnormal lung sounds can be distinctly identified based on their characteristics like continuity, duration, pitch, frequency, and causes. The identification of adventitious lung sounds (ALS) using a stethoscope is critical in detecting lung disorders and administering the first treatment. Using a standard acoustic stethoscope by clinicians to identify abnormal chest sounds, however, includes evaluative bias, and data has shown that significant inter-listener variance exists. This calls into question the reliability of human auscultation-based diagnosis. However, effective evaluation of LS involves great experience on the part of doctors, as learners such as trainees and residents may misdiagnose respiratory sounds. To circumvent these constraints, there is a need to develop automatic intelligent algorithms for the classification of ALS.
Students Names: Abdulla N. Fakhro, Hamad K. Alyafei, Mohamed Nour M. Khappaz
Supervisor: Dr. Muhammad Salman Khan
Project Title: ABScope: deep learning based acute bronchiolitis severity classification
Abstract:
Bronchiolitis is an infection of the lower respiratory tract triggered by viruses such as respiratory syncytial virus (RSV), and others. This is the most common cause of hospitalization among infants and children. RSV infections show strong seasonal distribution with the highest incidence rate during winter and with the least or no outbreaks during summer. The clinical manifestation and severity vary among infants and it is difficult to predict treatment and hospitalization requirements. These infants have relatively less developed immune systems, and their innate and acquired immune responses against this infections are inadequate. Therefore, it leads to severe morbidity and a substantial increase in healthcare costs. We aim to develop a deep learning models based application (ABScope) using medical record data of the patients and the cough, breath and lung sounds from multiple existing international datasets. Clinical data variables such as age, gender, maturity, BMI, CBC, blood culture, urine culture, viral polymerase chain reaction (PCR), diagnosed bacterial infection, breathing, air entry, cough, crackles, wheezing, severity, apnea, cyanosis, the requirement of oxygen, days of symptoms, hospitalization, length of stay, vital signs from first 4 hours of hospitalization, and underlying disease conditions, will be collected using retrospective study while prospective study will allow to collect photoplethysmography signal, cough, breath and lung sounds along with the clinical data.
Students Names: Abdulghani O. Sabbagh, Salah M. Elsayed, Shehabeldin A. Elshiekh
Supervisor: Dr. Muhammad Enamul Hoque Chowdhury, Dr. Muhammad Salman Khan
Project Title: Design and Development of Dual Mobile Manipulator.
Abstract:
Robotics is increasingly finding application in diverse fields, resulting in the development of various types of robots catering to specific needs. While industrial robots and humanoids are among the sophisticated robots being created, these extreme types of robots are not always necessary or efficient for solving real-world problems. As a result, other types of robots are being developed, such as mobile manipulators. These manipulators are typically equipped with one or more arms mounted on a mobile platform, often featuring wheels of varying types depending on the required performance and environmental conditions. In this project, the robot will be designed and implemented featuring a human-like torso with manipulation two arms, capable of movement on an omnidirectional platform.
Students Names: Abduallah M. Bamjboor, Ali E. AbouBakr, Hamzah A. Al-Hamidi
Supervisor: Dr. Nader meskin
Project Title: Design and Contol of an online Uninterruptible Power Supply (UPS).
Abstract:
A short-term interruption in the power supply, power line noise, or voltage fluctuation (sags) will result in the loss of critical data, production losses, or, in more extreme cases, an increase in equipment downtimes due to equipment damages. This is because digital systems, such as computers and other real-time critical equipment, are becoming more and more prevalent. An online uninterruptible power supply (UPS) can solve typical power-line issues that impair the performance of crucial computer systems. In the event of a utility mains breakdown or other power disruption, UPS systems are made to supply essential loads with temporary emergency power. The purpose of UPS systems is to offer a dependable, effective, and adaptable solution to guarantee that the company is always safeguarded. In this project, the design and implementation of a single-phase online UPS system will be carried out by two to three students. All the control functions for an online UPS should be realized and coordinated between the students.
Students Names: Farid I. Tartour. Omar G. Gabaalla
Supervisor: Dr. Lazhar Ben-Brahim
Project Title: Mitigation Techniques of PV Soiling and Techno Economic Assessment: case study Qatar Al Kharsaa PV Power Plant (800 MW).
Abstract:
Solar power systems cover areas of more than 3,000 km2 worldwide and expected to double by 2030 [1-4]. An often-neglected problem is the contamination of these surfaces, so-called ‘‘soiling,’’ which leads to significantly reduced energy yields, especially in high- insolation arid and semi-arid climates. Indeed, an inadequate or absent soiling mitigation strategy in high solarpotential and soiling-prone locations such as the Middle East can cancel out in few weeks the surge in solar cell and CSP efficiency improvement made in recent years. This would potentially render an installation economically unviable and therefore must be mitigated. Qatar, while lagging behind other Gulf states in the solar race, it has announced a target of 5 GW of solar energy capacity by 2035. The Qatar National Vision 2030 aims to generate 20% of electricity from renewable energy sources by 2030. The first large-scale solar power plant is Al Kharsaah Solar PV Independent Power Producer (IPP) Project (800 MWp) which is set to significantly reduce Qatar’s environmental footprint. Soiling pose a great threat to this vision. In this project, the importance of soiling is assessed for the global PV and CSP key markets. Even in optimized cleaning scenarios, soiling reduces the current global solar power production by at least 3%–4%, with at least 3–5 billion EURO annual revenue losses, which could rise to 4%–7%, and more than 4–7 billion EURO losses, by end of 2023. Therefore, taking into account the soiling processes and the regional cleaning costs, a technoeconomic assessment of current and soiling mitigation strategies such as innovative coating and/or ElectoDynamic Shields (EDSs) is presented. Advanced data analytics techniques including Machine Learning (ML) will be used to process previous and to be-collected data within the scope of this project.
Students Names: Ahmed F. Gadalla, Ahsan I. Qureshi, Saleh M. Saleh
Supervisor: Dr. Farid Touati
Project Title: Smart IoT Traffic System for Qatar University Campus.
Abstract:
Qatar University faces significant traffic issues, including congestion, delays, and safety concerns. These issues impact the efficiency of transportation for students, faculty, and staff, as well as the overall campus experience. A senior design project for a smart IoT traffic system for Qatar University is an excellent opportunity to apply skills in IoT technologies, software development, electronics, and traffic engineering to address a pressing issue on the university campus. By developing a prototype system that improves traffic flow, reduces congestion, enhances safety, and leverages IoT technologies to provide real-time monitoring and control, students can make a real-world impact on the QU university community.
Students Names: Abdelaziz T. Alswiti, Husham E. Abdalla, Sanad O. Abdulhadi
Supervisor: Dr. Ridha Hamila
Project Title: QU fixed wing drone design and prototyping.
Abstract:
The QFalcon is Qatar University’s fixed-wing drone being planned to develop in-house and launch as part of QU multidisciplinary initiatives towards addressing aerospace technology and enhancing students’ multidisciplinary engineering teamwork skills. The project in its inauguration year (this year) focuses on the development of the overall drone structure, aerodynamic design, material selection, aviation, remote control, and powering. The main focus is to reach a functional design with a flight range capability of 25 km and a carrying load of 20 kg.
Students Names: Amr Y. Elsaka, Hamad A. Najar, Mahmoud A. Behiry, Jaber S. Bawazir
Supervisor: Dr. Tamer Khattab, Dr. Ahmed Massoud
Project Title: Design of a grid-connected residential PV system with Battery Energy Storage System.
Abstract:
Modern grid is incorporating more renewable energy each year, and this trend will continue in the coming decades. Solar PVs are the most used source of renewable energy. The aim of this project is to design a grid-connected residential PV system with a Battery Energy Storage System (BESS) with a common DC bus. The system should be capable of sharing power between the PV system and the BESS to increase overall efficiency and should be able to feed excess energy back into the grid. The project should focus on selecting appropriate topologies of the PV DC-DC converter, the bidirectional battery charger/discharger, and the grid Inverter. The design of a control system to manage the power flow between the PV system, BESS, common DC bus, and the grid should be developed. The system should meet the safety and grid-interconnection requirements of the local grid and should be cost-effective, reliable, and efficient. The project should also investigate the economic benefits of the system for the homeowner, including potential savings on electricity bills.
Students Names: Hussein Khan, Mohamed A. Hassan, Mohammad H. Albatarani
Supervisor: Dr. Lazhar Ben-Brahim
Project Title: Intelligent and adaptable multi-drone swarm system for Post-disaster management applications.
Abstract:
Natural disasters have devastating effects on communities infrastructure, and the environment, requiring efficient and coordinated response efforts. This project focuses on leveraging pervasive computing technologies and autonomous aerial agents (UAVs) to enhance disaster management processes. The system comprises a network of autonomous aerial agents equipped with sensors, communication capabilities, and decision-making algorithms. These agents collaborate and interact with each other, as well as with ground-based systems, to collect real-time data, assess damages, and facilitate decision-making during post-disaster scenarios The project aims to address the key challenges in post-disaster management, including limited situational awareness, communication disruptions, and resource allocation inefficiencies. By leveraging pervasive computing and autonomous agents, the proposed system enables real-time data acquisition, analysis, and dissemination, thereby enhancing situational awareness for decision-makers. The project also involves the development of algorithms for agent coordination, data fusion, and decision-making to optimize resource allocation and response strategies. Simulation models and real-world case studies will be utilized. Moreover, from the electrical side, in this project, a wireless power transfer system for battery charging of UAVs for transmission line inspection is developed.
Students Names: Khaled A. Soliman, Khaled J. Barakah, Omar H. Mousa
Supervisor: Dr. Ahmed Massoud
Project Title: Harnessing Energy Storage to mitigate large scale solar plant impacts.
Abstract:
This work addresses the behaviour of integrating a 1-gigawatt class power system onto an existing power system. In this work, there are three subsystems covering Qatar Power System capability to install a photovoltaic system, a long to medium energy storge system, and a short-term energy system provided to the photovoltaic system. Subsystem 1 is responsible for developing and implementing grid side inverter management solutions to address grid stability issues caused by the integration of 1-gigawatt solar facility into the Qatar Power System. To preserve grid stability while incorporating large scale solar power, these solutions focus on voltage and frequency regulation, as well as active and reactive power management. At the present time, Battery Energy Storage Systems (BESS) have emerged as a pivotal component in this field, offering solutions to mitigate the faults and improve grid stability. Subsystem 2 tackles intermittency of solar radiance using BESS. The presented design serves importance as it can introduce new methods or alternatives that have an efficiency that exceeds that of the existing designs and models. The prospect of presenting a BESS that is functional, environment friendly, and cost effective under different conditions in a gigawatt class PV plant is very promising. Subsystem 3 proposes a solution to use supercapacitor as an energy storage system capable of handling large powers and voltages on the grid and within its containment on the plant for short-term periods. The supercapacitor must be sustainable and low maintenance to be a finically worth its cost, and the supercapacitor must provide instantaneous power and voltage for the grid should the plant fail. The short-term definition states the production of power must be within a 3-minute period or else, the supercapacitor provides spikes of large power and voltage within 20ms of system failure, meaning system production towards the grid keeps constant even if the plant experience failure. Finally, this project seeks to make a substantial contribution to the advancement of understanding of sustainable energy integration strategies and the improvement of grid stability in the context of solar power plants. Simulation has been carried out using PSCAD, fault analysis is implemented with and without energy storages system designed and evaluating the use of each to the power system and on the plant.
Students Names: Ali E. Elobaied, Amir A. Mostafa, Hani O. Mohamed
Supervisor: Dr. S. M. Muyeen
Project Title: Design of a Commercial Scale Solar Power Plant.
Abstract:
To achieve a shift toward clean and environmental energy, The demand for renewable energy sources has become noticeable recently. Although photovoltaic (PV) cells have low conversion efficiency, this limitation drives ongoing research in PV system development. To overcome this challenge, it’s essential to explore power converters that are cost-effective, durable, compact, and relatively simple. Choosing the right grid-tied inverter is especially critical for optimizing PV system performance across various applications and connecting renewable sources to the grid. This study delves into different PV inverter designs tailored for string and multi-string architectures like NPC inverter. These inverters are designed based on several factors such as switching stages, presence of transformers and type of decoupling capacitors used. Notably, this research provides a unique and comprehensive review of inverter topologies for all PV setups. At the heart of this exploration are detailed analyses of each PV inverter variant, complete with their advantages, disadvantages, complexity, and the types of power devices utilized. These findings are systematically organized and presented in tables at the end of each classification, offering valuable insights into the diverse landscape of PV systems. Various techniques for integrating solar systems into both stable and unstable electrical grids are examined in this study. These methods encompass control strategies like dq, αβ, abc, fault ride-through, and unified power flow control. The study stands out by consolidating a significant number of PV inverters within a single platform, providing a valuable reference for experts in this field. This study will show the design of the inverter in 1 giga watt output power from the system. This study will show the results of the inverter using matlab Simulink which using a lot in simulation the electrical application. To obtain regulated direct current voltage, utilize DC-DC converters. from an uncontrolled source. Different converters are employed for applications for solar systems like buck, boost, buck-boost, cuk, and sepic based on the required output voltage. In this essay, a basicThe Buck converter for PV standalone application’s fundamental architecture is done. To track maximum power point, load matching is necessary. PV system is used to receive the converter’s input, and the MPPT algorithm is used to manage the duty cycle. Buck converters are more effective since the control circuit is simpler and reduce variable PV voltage to consistent dc voltage. Maximum power point tracking using a perturb and observe approach. The simulation results of the subsequent converters were assessed and compared, and the parameters of each DC-DC converter were observed, including ripple current signals, input and output voltages, input and output powers, steady-state periods, and isolation signals between the input and output sides. In order to achieve the main objective of this project, we must research about the types of solar panels and compare those panels in order to use the appropriate solar panels. The importance of choosing appropriate solar panels enables us to know the characteristics and behaviour of these panels when exposed to the sunlight such like the maximum power point (MPP). By knowing these characteristics, we will be able to produce the specified amount of energy without wasting it. Also, we have to know the size of the DC-DC converter and DC-AC inverter in order to know the amount of required power that need to determine which connections will going to be performed in the module design process.
Students Names: Hamzah F. Fadel, Hozaifah Fadel, Obida Jolak
Supervisor: Dr. S. M. Muyeen