Project Title: Design and Implementation of EV chargers used to provide ancilliary services to Power Distribution Network.
Abstract:
To reduce the carbon foot print ewhich is generated due to anthropogenenic activies like burning of fossil fuels, the electric vehicles are considered as a preferred candidate. However, the increase penetration of EVs in the distribution network may lead to voltage deviation and frequency deviation created due to increased charging load. The voltage deviation may lead to unwanted tripping of sensitive loads and frequency deviation may to stability issues and tripping of whole network. To over come these limitations, the reactive power and active power injection by the EVs in vehicle-to-grid mode of operation leads to reduction in voltage and frequency deviation. However, the injection of active and reactive power by EV suffers from the limitation of proportional sharing of power among EVs and economical scheduling of sources.
Students Names: Abdelrahman Rafat Abdalhai Basalat, Abdullah Khaleed Zain Al-Amri, Omar Amad Deeb El-Areidi
Supervisor: Dr. Atif Iqbal
Project Title: Development of a Smart and Modular Ozone Generation Power Supply for Water Purification Applications.
Abstract:
The exponential increase in the demand for clean water in the world have led to the urgent need for a reliable method of water purification (WP). Currently, chlorination is the most widely used WP method due to its cheapness. However, its disadvantages, such as the production of toxic byproducts and the bad taste of water, have led to the discovery of new WP methods, such as ozonation. An ozone generation power supply requires a high output voltage with a high frequency to generate electric discharges that can dissociate oxygen molecules to produce ozone molecules. This project introduces five different designs. The first, second, and third designs are based on sinusoidal power supplies with a parallel LC filter, series LC filter, and LCL filter. The fourth and fifth designs are based on modular pulsed power supplies using boost and buck boost converters. In addition, a smart monitoring and control system is developed to increase the efficiency and reliability of WP and to increase the functionality of the WP process through the utilization of Internet-of-Things (IoT) technologies, machine learning (ML), and cloud computing. Finally, a performance assessment is conducted on the designed power supply to ensure its effectiveness and acquire the system’s limitations.
Students Names: Ahmed Rabie Mohamed Mahmoud, Mostafa Mohamed Fathy Shibl Abdelnaby, Omar Mossad Mohamed Eltantawi Shouman
Supervisor: Dr. Ahmed Massoud
Project Title: Design and Controller Hardware-in-the-Loop Simulation of an off-board dc fast integrated charger for Electric Vehicles.
Abstract:
The community battery charger is essential for providing off-board charging facility to Electric Vehicles (EV). It plays a decisive role in managing the charging/ discharging cycles of the battery, charging time, power level and lifetime of the battery. To alleviate range anxiety and to improve vehicle capability, limitation of weight, size and cost constraints, community chargers are widely used around the world and installed at strategic points. These are dc chargers and used for fast, superfast and ultrafast charging of EVs. However, the operation of off-board chargers is location specific. Therefore, the emphasis is given on development of more community charger facilities which are easily accessible to EV owners. To reduce the congestion on charging points, superfast and ultrafast chargers are being preferred. In this project, an efficient integrated DC fast (level-3) charger which has a power rating of 120 kW will be designed for charging the EVs. The validation of the performance of the dc fast charger will be carried out using Controller Hardware-in-Loop (CHIL) facility. The CHIL set up includes a DSP and RTDS. As compared to Matlab based simulations, controller are realized in DSP chips and the low power dc systems are emulated using RTDS. RSCAD is used as a simulation tool by the RTDS and Texas Instruments made TMS320F28379D, DSP is used for controller implementation.
Students Names: Abdulla Fuad Abdulla Ebrahim Hasan Kamal, Ahmad Omar Kara Haded, Moustafa Ahmed Mohamed Soubhy
Supervisor: Dr. Atif Iqbal
Project Title: Mitigation of Soiling Effect on PV Yield in Qatar.
Abstract:
Recently, photovoltaics (PV) energy has been considered into the energy matrix of smart grids worldwide including Qatar. In 2020, Qatar through KAHRAMA has constructed a plant of renewable energy sources with a capacity of 1.8 GW and aiming to generate 20% of the country energy from renewable energy sources by 2030. PV energy has known a rapid market penetration lately with expected increasing energy market share very soon. However, despite the untapped solar energy in the Arabian Peninsula (>2000 kWh/m2 solar irradiance) and due to harsh environment, the PV power available from plants will be affected. Results of Qatar University researchers showed that high ambient temperatures, high relative humidity (RH) and panel soiling are examples of omni-practicalities that considerably degrade the efficiency of PV systems. In particular, dust can stick on the PV panel surface blocking solar irradiance conversion to electric energy and causing further panel heating. Also, previous results on mitigating dust and heat effects have been promising. This project will capitalize on findings of previous group in order to improve techniques for better mitigation of the above effects like data-driven cleaning and panel folding. Details of design steps and data analysis and interpretation will be delivered.
Students Names: Ahmed Mohamed Ayad, Mohamed Soliman Mohamed Soliman Derdess, Yousuf Ahmad H A Al-Sheikh
Supervisor: Dr. Farid Touati
Project Title: Design and implementation of mobile manipulator.
Abstract:
An advanced approach to flexible manufacturing is to move robotic manipulators, using a mobile robot, called mobile manipulators, between workstations. The use of mobile manipulators can be advantageous in a number of situations. It can result in cost savings when a single mobile manipulator can be used to replace several stationary manipulators. Mobile manipulators are beginning to appear in manufacturing, healthcare, and possibly other industries. The main aim of this project is to build a a mobile manipulator able to do simple tasks of moving objects from one location to another one.
Students Names: Ahasanur Rahman, Irzam Sohail, Kevin Kunjukutty Thomas
Supervisor: Dr. Nader Meskin
Project Title: Congenital heart disease detection using artificial intelligence based analysis of phonocardiogram signals.
Abstract:
Heart diseases are one of the major causes of death both in adults and children worldwide. Congenital heart disease (CHD) concerns a range of birth defects that affect the normal way the heart works. Detecting CHD-related sounds using a stethoscope is generally a very difficult skill to master by doctors. There is published scientific evidence that doctors misidentify CHD-related sounds. This misidentification or misdiagnosis of CHD-related sounds lead to escalation of the disease and in many cases loss of lives. There is a need to develop artificial intelligence based PCG analysis algorithms to detect CHD, improving the current diagnostic accuracy and patient outcomes, saving precious lives. Phonocardiogram (PCG) signals acquired through a digital stethoscope will be used in the sound analysis. Computer-based algorithms will be developed to analyse PCG signals that will automatically detect congenital heart diseases (CHDs). The techniques used will include (data acquisition), data cleaning/organization, de-noising, extracting PCG peaks, feature extraction, feature reduction, classification, evaluation and prediction.
Students Names: Abdulla Hani Hussein Al-yazidi, Marwan Nasser Mahdi Alhamoodi, Mohamed Yeslem Mohamed Mouemel
Supervisor: Dr. Muhammad Salman Khan / Dr. Muhammad Enamul Hoque Chowdhury
Project Title: Secure Resource-Constrained IoT Devices.
Abstract:
Emergency situations and large-scale events require rapid establishments of communication and security infrastructure. The existing infrastructure is planned according to normal use and becomes overwhelmed during emergency situations and large-scale events. In addition, the fixed infrastructures can’t cover areas outside the city center, such as rural areas, highways, and temporary establishments for large sporting events. On the other hand, autonomous drones and ground vehicles provide a more cost effective, flexible and decentralized solution for providing communications and security. UGVs and AGVs could be used for Internet access during emergency and large-scale events, as well as providing patrolling and security services. UGVs and AGVs have energy, communication and cybersecurity requirements which is quite different from fixed infrastructures. UAV/AGV operation lifetime is subject to stringent constraints due to the limited battery lifetime and high energy consumption levels.
Students Names: Abdalla Mohamed Ragab Mohamed Ahmed, Mohamed Atef Mohamed Khalaf Alla, Nayef Ali S A Al Henzab
Supervisor: Dr. Ridha Hamila / Dr. Muhammad Enamul Hoque Chowdhury
Project Title: Determining the status of breast cancer biomarker HER2 scoring system.
Abstract:
Cancer is the leading casuse of death worldwide. Breast cancer is considered one of the most common cancers found in women. Every year, about two million women are affected with breast cancer which results in more than half a million fatalities, accounting for about 15% of all cancer-related deaths in women. As a result, it shows that it is critical to get a diagnosis as soon as possible. The evaluation of breast cancer molecular biomarkers requires human expertise to diagnose and classify them into its subtypes with appropriate therapy suggestions. One of the significant biomarkers is human epidermal growth factor receptor 2 (HER2). The precise identification of the HER2 receptor is critical, presence of high expression HER2 is linked to abnormal clinical behaviour and aggressive treatment options are considered, and HER2 focused treatment improves overall survival rates significantly. To determine HER2 status, multiple procedures are required. Breast tissue is sampled with a needle, processed, and then stained with hematoxylin and eosin (H&E) or immunohistochemistry (IHC) to allow observation with an optical microscope. A pathologist examines the sample for cancer markers and distinguishes between malignant and non-malignant tissue sections. When cancer cells are restricted to the mammary ductal-lobular system, the malignant areas are classed as in situ carcinoma, or invasive when cancer cells have migrated outside the ducts. The mentioned approach is time consuming and prone to human error since it relies on the pathologists’ assessment. Therefore, there is need to develop automated and quantitative analysis to determine the status of breast cancer biomarker HER2 scoring system. Her-2 are scored on a scale of 0, 1, 2, 3 to determine if they are appropriate for therapy with anti CerbB2 protein. Pathologists determin the scores by visualizing the immunohistochemical stained slides or by using FISH (fluorescence in situ hybridization) technique. Our objective is to build an automatic system that predicts the HER2 tissue scoring using machine learning and deep neural network classifiers.
Students Names: Amr Essam Shabaan Attia, Mohamed Fahed Samer Alhariri, Saeeid Abdulhamid Khalili
Supervisor: Dr. Muhammad Salman Khan / Dr. Muhammad Enamul Hoque Chowdhury
Project Title: Design of electrical distribution and protection systems for an airport.
Abstract:
Distribution substations are connected to the transmission system, which lower the voltage from high level to medium level using transformers. Airports are one of the key locations everywhere in the world. Therefore, it is important to provide safe electricity and power for them without any interruption. The objective of this project is to design a distribution substation for a typical airport according to KAHRMAA standard. The airport consists Gates, Restaurents, Lights, AC, Lounge, Shops, train and so on. A full load study has to be performed, size of transformers for the substation should be obtained. Shortcircuit current calculation is needed to design propoer protection devices. And, finally protection coordination design is needed. Grounding and lightning ptotection should be considered.
Students Names: Abdulrahman Mohammed Naji Al-Agi, Anas Elzeiny, Hassan Adel H A Al-obaidly
Supervisor: Dr. Hasan / Dr. S. M. Muyeen
Project Title: Human-auditory inspired speech source separation.
Abstract:
Human hearing system is adept at separating sounds of interest in the presence of other competing sounds, generally referred to as cocktail party problem (CPP). Imparting this capability into machines can help to design better hearing aid devices and robust automatic speech recognition (ASR) systems, to transcribe old folk music and minutes of meeting from the available audio recordings, to improve quality of communication and multiple other everyday applications. There are two approaches generally adopted in this regard. The first approach uses psychoacoustic techniques and the second approach uses purely mathematical techniques. These psychoacoustic techniques are grouped under the label computational auditory scene analysis (CASA). CASA refers to computational algorithms used for separating a sound of interest from the mixture by using psychophysical and perceptual mechanisms used by human beings to solve the CPP. CASA based approaches require just one or two mixtures to separate sources like human beings who require one or two mixtures collected at their ears to do the same task. DUET, the Degenerate Unmixing Estimation Technique, solves the degenerate demixing problem in an efficient and robust manner. The underlying principle behind DUET can be summarized in one sentence as follows. It is possible to blindly separate an arbitrary number of sources given just two anechoic mixtures provided the time–frequency representations of the sources do not overlap too much, which is true for speech.
Students Names: Abdallah Mohammad Yousef Al Hamaydeh, Osama Zeinelabdin Ahmed Hassan, Ali Mohamed A A Almarri
Supervisor: Dr. Muhammad Salman Khan