PhD in Engineering - Electrical Engineering (High Performance Computing Systems) in Toledo United States | University of Toledo

Examining computing from both software programming and hardware architecture perspectives. Computational complexity theory. Quantum information processing. A standardized intermediate language with precise semantics for integrated software-hardware design. Distributed computing systems, database technologies, mobile and wireless networking. System resilience and dependability. Software dependability, Performance analysis for computing and telecommunications networks, Dynamic scheduling and resource allocation methods. Wireless internet and mobile ad hoc network routing protocols and security measures. Algorithm design, complexity analysis, and power management in wireless sensor networks. Biological network computing, information management systems, high-performance and cellular computing. Theoretical frameworks and sophisticated analysis for embedded, hybrid, and real-time systems. Dynamic model development and implementation for adaptive wireless and mobile networks. Spectrum management, channel allocation, and handover techniques in wireless multimedia systems.