Research and Academic Interests
Intelligent Space Networks: Design and architecture of tele-communication networks, simulation, emulations, intelligent IP & mobile agents. Systems Architectures: Complex & large scale modeling, multiple objective optimization, clustering, decision making typology, & risk analysis. Modern Manufacturing Systems: Design and planning of: production, operations, facility layout, group technology, assembly systems, machining, tools, and MEMS. Artificial Neural Networks: Feed forward ANN, design, optimization, clustering, multiple criteria, discrete optimization, & expert systems.
Short Biography
Professor Malakooti obtained his Ph.D. in1982 from Purdue University. He has consulted for numerous industries and corporations, including General Electric, Parker Hannifin, and B.F. Goodrich. He has published over 100 papers in technical journals. In his work, systems architectures, space networks, optimization, multiple criteria & intelligent decision making, trait analysis of biological systems, adaptive artificial neural networks, and artificial intelligence theories and techniques are developed and applied to solve a variety of problems. His current research is on design and protocols analysis for NASA space based networks. Recently Professor Malakooti developed a four dimensional approach for decision making process typology and risk analysis. Decision making typology accurately identifies the four types of decision makers behavior: Information processing, creativity, risk, and decisiveness approach. It also provides a basis for developing the next generation of intelligent robots. See http://car.cwru.edu/decision/ for computerized survey. He has had contributions to manufacturing systems developing computer aided approaches for manufacturing/production design, planning, operations, facility layout, assembly systems, scheduling, MEMS, and machine set-up, tool design, and machinability.
Intelligent Space Networks: Design and architecture of tele-communication networks, simulation, emulations, intelligent IP & mobile agents. Systems Architectures: Complex & large scale modeling, multiple objective optimization, clustering, decision making typology, & risk analysis. Modern Manufacturing Systems: Design and planning of: production, operations, facility layout, group technology, assembly systems, machining, tools, and MEMS. Artificial Neural Networks: Feed forward ANN, design, optimization, clustering, multiple criteria, discrete optimization, & expert systems.
Short Biography
Professor Malakooti obtained his Ph.D. in1982 from Purdue University. He has consulted for numerous industries and corporations, including General Electric, Parker Hannifin, and B.F. Goodrich. He has published over 100 papers in technical journals. In his work, systems architectures, space networks, optimization, multiple criteria & intelligent decision making, trait analysis of biological systems, adaptive artificial neural networks, and artificial intelligence theories and techniques are developed and applied to solve a variety of problems. His current research is on design and protocols analysis for NASA space based networks. Recently Professor Malakooti developed a four dimensional approach for decision making process typology and risk analysis. Decision making typology accurately identifies the four types of decision makers behavior: Information processing, creativity, risk, and decisiveness approach. It also provides a basis for developing the next generation of intelligent robots. See http://car.cwru.edu/decision/ for computerized survey. He has had contributions to manufacturing systems developing computer aided approaches for manufacturing/production design, planning, operations, facility layout, assembly systems, scheduling, MEMS, and machine set-up, tool design, and machinability.
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