American University of Sharjah

Outreach

CEN Outreach

Applied Research

The College of Engineering has the infrastructure required to perform engineering research relevant to the industry needs of today.

Our faculty members are experienced in conducting applied research. They have a proven track record of success in external cooperation and applying advanced techniques to solve difficult problems, improve system performance, design innovative solutions and assist collaborators with their research, consultation and training needs. The Engineering Outreach Program has been created to help make this engineering experience and expertise accessible to potential partners in industry and government.

Our outreach groups are ready to respond to your organization's interests and needs. Your organization can become involved in the Engineering Outreach Program through participating in collaborative research that addresses your organization's needs and problems. 

Your organization is also welcomed to become an annual sponsor of ongoing research at AUS. Annual sponsors of ongoing research help guide the research priorities of the outreach groups, and are entitled access to project data, reports and designs. Annual sponsors also receive recognition for their support by having their logos appear on outreach promotional materials (if desired), and by being mentioned in publications of research efforts. Priority access to outreach personnel is also granted to annual sponsors for their ongoing research, review and evaluation needs.

Research Areas:
  • Aerospace Vehicle Design and Propulsion Systems              
  • Biomedical Engineering
  • Civil Infrastructure Design and Construction                       
  • Communications and Networks
  • Microelectronics and Electronic Design Automation            
  • Energy Systems
  • Engineering Materials and Manufacturing                                      
  • Software Technology
  • Environmental Engineering and Sustainable Systems           
  • Mechatronics and Field Robotics
  • Artificial Intelligence and Soft Computing                                    
  • Multimedia Processing           
  • Petroleum and Chemical Industries                    
  • Grid and Distributed Computing
  • Earthquake Engineering and Mechanical Vibrations 
  • Engineering Systems Management
  • optimization, design automation and computer security
  • wired and wireless industrial computer networks
  • radar signal processing
  • hybrid, solar and electric vehicles
  • renewable energy and fuel cells, modeling and simulation
  • soil behavior, soil stabilization, expansive soil and soil testing
  • water quality management and environmental treatment processes
  • construction methods and project benchmarking

 

Selected Applied Research Topics:
Non-invasive ECG extraction

The fetal electrocardiogram (FECG) signal reflects the electrical activity of the fetal heart as it contains information on the health status of the fetus. Therefore, an early diagnosis of any cardiac defects before delivery increases the effectiveness of the appropriate treatment. In this project we devised a novel technique for non-invasively extracting the FECG form abdominal and thoracic ECG recordings form the mother. The novel technique uses advanced pattern recognition and signal processing algorithms. The devised technique has been proven to yield superior results when compared with the existing state-of-theart fetal ECG extraction methods. The technique has been patented in the USA and was published in leading journals and conferences.

Manufacturing and Materials Processing:

This group focuses on machinability of difficult to cut materials like titanium alloys, achine tools dynamics, tool wear, process optimization , process automation, and development of sustainability metrics for machining processes.

Arabic sign language recognition

 In this project we developed a set of solutions for automatic Arabic Sign Language (ArSL) recognition.These solutions are divided into two categories: sensor-based solutions, and computer vision based solutions. The sensor based solutions use advanced mechatronics and signal processing techniques, while the computer vision based solutions use  advanced video and image processing algorithms with pattern recognition systems. We have published several articles on our ArSL recognition results in leading journals and conferences.

Transformer health monitoring using signal

processing and intelligent systems. The proposed transformer health monitoring will provide assessment of the transformer health condition which will be useful for maintenance, ensuring optimum transformer performance, increased efficiency and also increased expected life time. Several parameters can be monitored to assess the transformer health like partial discharge activities, oil and paper insulation quality.

Automatic inspection of outdoor insulators using digital image processing and artificial intelligence

Outdoor insulators are very important to the integrity of the power system grid. Recently, polymer insulators have been used in many countries including the United Arab Emirates. One of the major problems that face utility engineers is to evaluate the aging performance of those insulators. The proposed system automate the surface condition assessment system of polymer insulators developed by the Swedish Transmission Research Institute (STRI).

A Clean Biofuel from Solid Waste

This research project proposes a technique for converting solid waste into a biofuel that can be utilized as a clean source of energy in many industrial and domestic applications. . As such, this project has an advantage of managing the waste and producing a good source of alternative energy in order to minimize the pollution.

Microbiological fuel cells and water desalination.

This project studies and explores the electricity, desalination capacity and performance of Microbial desalination cell (MDC) combined with Microbial Fuel Cell (MFC). The aim of the project is to maximize fresh water from sea water by using  electricity generated from (MFC). The study covers waste water treatment as well.

Biofilter project

This project proposes a process technology for biofilter development and testing for removal of air pollutants for industry and wastewater treatment stations. A mobile biofilter system was constructed and set up to treat H2S and waste gas. The H2S concentration in the exhaust from the stack was treated and reduced from 130ppm to 3ppm.

A comprehensive study of the damage behavior and failure modes of structural steel column subjected to transverse impact

This research presents a comprehensive study and consistent methodology for the assessment of the nonlinear damage behavior of structural steel columns subjected to transverse impact. The intellectual merit for this proposal is to enhance the understanding of the ductile failure mechanism due to accumulation of plastic deformation that is needed to enable proper structural design and hence provide better serviceability.

Reliable Latching RF MEMS Switches and Switch Matrices

The proposed RF MEMS switches in this research project are measured in micrometer scale and use a novel latching mechanism that exhibits high displacement to obtain superior RF performance in  comparison with other RF MEMS switches. The switch will be designed such that it works under vacuum and withstand low temperature conditions, such conditions do exist in space environment. It also can stand high power signals and temperature generated through them due to the high power up to 85 deg Celsius. Those circuits can be utilized in phase array system and triple stage switch matrices for satellite applications

Nutrient Recovery from Wastewater

The project is aimed in determining the feasibility of recovering nutrients (nitrogen and phosphorus) from domestic wastewater in UAE in the form of a slowrelease fertilizer. This study is a precursor to developing a sustainable process where we can consider wastewater as a resource rather than a waste/problem.

Tensile Material Properties of different types of fiber-reinforced polymer sheets. at elevated temperatures

The aim of this proposal is to investigate experimentally the tensile mechanical properties of FRP sheets under elevated temperatures. The experimental matrix will be composed of CFRP, GFRP, Basalt (BFRP), and hybrid combination of (GFRP/CFRP) and (BFRP/CFRP) sheets. The specimens will be mechanically tested in tension at temperatures ranging from 25 to 250 ˚C. The parameters that will be considered to investigate the effectiveness of the sheets in elevated temperatures compared to room temperature include the modulus of elasticity, ultimate tensile strength, and strain at break, along with the corresponding stress-strain curves.

Detecting Sleep Apnea Using Mobile Phones

The paper discusses the design and implementation of a mobile application that uses the smart phone's sensors, e.g. microphone and built-in accelerometer, to record the snoring, breathing and movement patterns of users and get a sense of whether or not the user is likely to suffer from sleep apnea before continuing with more expensive and advanced sleep tests.