Computing from both the programming language and the computer architecture viewpoints. Computational complexity. Quantum computing. Unified intermediate language with well-defined semantics in the design of both software and hardware. Distributed systems, databases, mobile & wireless networks. Fault tolerance and reliability. Software reliability, Performance modeling of computer and communication networks, Adaptive scheduling and resource reservation protocols. Routing protocols and security in wireless internet and mobile ad hoc networks. Algorithms, complexity, power connectivity and coverage in wireless sensor networks. Bio-molecular networks, information systems, cellular and high-performance computing. Theoretic foundations and advanced analysis for real-time, hybrid and embedded systems. Adaptation, design and implementation of dynamic models for wireless and mobile networks. Radio resource allocations, channel schemes and handoff strategies in wireless multimedia networks.
The High-Performance Computing Systems faculty conduct research in several areas like:
Dr. Standley's research is in the areas of Programming language and architecture based computing paradigm; computational complexity; quantum computing; unified intermediate language with well-defined semantics in the design of both software and hardware.
Dr. Makki's research is in the areas of distributed systems; databases; mobile & wireless networks.
Dr. Alam's research focuses on fault tolerance and reliability; software reliability, performance modeling of network protocols; routing protocols and security in wireless internet and mobile ad hoc networks.
Dr. Kaur's research interests are in Computer Architecture, Parallel and Distributed Processing, Software Scalable Systems on CHIP Architecture, Intelligent Systems based on Fuzzy Logic, Neural Networks and Genetic Algorithms.
Dr. Jamali's research focuses on hardware implementation of sensor array processing algorithms, FPGA based systems, application specific computer architectures and in-vehicle Networks.
Dr. Niamat's research focuses on Testing of digital, reconfigurable, system on chip (SOC) and VLSI circuits;built in self test (BIST); fault modeling; modeling and testing of nano electronic devices using quantum dot cellular automata (QCA).
Dr. Mansoor Alam, Professor
Department of Electrical Engineering & computer Science
2027 Nitschke Hall, Mail Stop 308
The University of Toledo
Toledo, Ohio 43606-3390
Phone : (419) 530-8161
Fax : (419) 530-8146
Email: mohammed.niamat@utoledo.edu