Mohammad Wadood Majid has been working in the field of application development and design for more than a decade for some major companies in the USA. During this time, he has worked independently as well as with teams to develop a number of highly successful enterprise applications for the Web and mobiles. He is experienced in the development, designing, testing, modification, and maintenance of enterprise applications. Currently, he is working as an enterprise application administrator and developer and a part-time assistant professor at the University of Toledo.
He has worked extensively with MVC, web APIs, ASP.NET, ADO.NET, C#, OData, and RESTful. He has expertise in native mobile apps and web-based application development that can be performed using HTML5, JavaScript, jQuery, Bootstrap, AngularJS, and CSS.
He has experience of working with databases such as SQL Server 2012 and Oracle 11g.
He has also performed research on the following topics:
- Parallel implementation of algorithms on multicore and NVIDIA's GPU
- Parallel computation of moving target detection and recognition from a set of radar signals
- Development of parallel programs using multicore and NVIDIA's GPU for artificial intelligent algorithms, such as evolutionary neural networks and genetic algorithms
Golrokh Mirzaei has several years of software development experience in the software industry and is currently working as a faculty at the Ohio State University. His research involves the development of software applications and multisensor data fusion approach to monitor biological targets using three different sensors: infrared camera (IR), radar, and acoustics. The infrared camera and radar sensors involve video and image processing techniques, including object detection and recognition, feature extraction, classification/clustering, and tracking. He has published several papers at professional IEEE conferences and received several awards. His developments in the field of image processing and computer vision are unique, related to multifidelity, and multidisciplinary.
He has also performed research on the following topics:
- Pattern recognition (object detection, feature extraction, tracking, and so on)
- Machine learning (supervised/unsupervised learning)
- Classification/clustering
- Image/video/audio processing (infrared camera, radar, and acoustics)
- Bio-inspired computing (ACA, ACO, and GA)
- Bayesian inference and fuzzy reasoning