Venkateswara Rao Komma
Associate Professor
Engineering/Mechanical Engineering
Motilal Nehru National Institute of Technology
India
Biography
Dr. Venkateswara Rao Komma is affiliated to the department of Engineering/Mechanical Engineering, Motilal Nehru National Institute of Technology, where Dr. Venkateswara Rao Komma is currently working as Associate Professor. Dr. Venkateswara Rao Komma has authored and co-authored several national and international publications and also working as a reviewer for reputed professional journals. Dr. Venkateswara Rao Komma is having an active association with different societies and academies around the world. Dr. Venkateswara Rao Komma made his mark in the scientific community with the contributions and widely recognition from honourable subject experts around the world. Dr. Venkateswara Rao Komma has received several awards for the contributions to the scientific community. Dr. Venkateswara Rao Komma major research interest involves Simulation and Modeling, Reconfigurable Manufacturing System (RMS), Agent-Based Manufacturing System (ABMS), Development of Agent-Based software modules for different manufacturing applications and supply chain networks, Heat pipe assisted cooling in machining, Data transfer from STEP.
Research Interest
Simulation and Modeling, Reconfigurable Manufacturing System (RMS), Agent-Based Manufacturing System (ABMS), Development of Agent-Based software modules for different manufacturing applications and supply chain networks, Heat pipe assisted cooling in machining, Data transfer from STEP
Publications
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Komma VR, Jain PK, Mehta NK. AGENT-BASED SIMULATION OF A SHOP FLOOR CONTROLLER USING HYBRID COMMUNICATION PROTOCOLS. International Journal of Simulation Modelling (IJSIMM). 2007 Dec 1;6(4).
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Komma VR, Jain PK, Mehta NK. An approach for agent modeling in manufacturing on JADEâ„¢ reactive architecture. The International Journal of Advanced Manufacturing Technology. 2011 Feb 1;52(9):1079-90.
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Komma VR, Jain PK, Mehta NK. Ontology development and agent communication in agent-based simulation of AGVS. International Journal of Simulation Modelling. 2012 Dec 1;11(4):173-84.
