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.
