Purdue University

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Visible to the public Framework for Scheduling of Intelligent Jobs in Flexible Job-shop Environment

Ashutosh Nayak is a first year PhD student under Prof. Seokcheon Lee in Industrial Engineering at Purdue University. He joined Purdue University in Fall 2014. He completed his Bachelors and Masters from IIT Kharagpur under the supervision of Prof Manoj Kumar Tiwari. He is currently working in the field of Smart Manufacturing Systems. He has co-authored research articles published in IEEE systems, IJPR and CIE. He research interest also includes scheduling, evolutionary algorithms, production systems and complex networks.

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Visible to the public CPS: Synergy: Plug-and-Play Cyber-Physical Systems to Enable Intelligent Buildings

Abstract:

Despite their importance within the energy sector, buildings have not kept pace with technological improvements and particularly the evolution of intelligent features. A primary obstacle in enabling intelligent buildings is their highly distributed and diverse nature.

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Visible to the public CPS: Synergy: Foundations of Cyber-Physical Infrastructure for Creative Design and Making of Cyber-physical Products

Abstract:

The primary objective in this project is to lay the foundations of a cyber-physical infrastructure for creative design and making of realizable products by addressing fundamental barriers to participation, model- based engineering, and information sharing. The focus is on the following three aims:

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Visible to the public Dynamical-Network Evaluation and Design Tools for Strategic-to-Tactical Air Traffic Flow Management

Abstract:

The objective of this research is to develop tools for comprehensive design and optimization of air traffic flow management capabilities at multiple spatial and temporal resolutions: at a national airspace-wide scale and one-day time horizon (strategic time- frame); and at a regional scale (of one or a few Centers) and a two-hour time horizon (tactical time-frame).

The following results were obtained in Year 4 of the project:

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Visible to the public Methodologies for Engineering with Plug-and-Learn Components: Synthesis and Analysis Across Abstraction Layers

Abstract:

CyberPhysical Systems (CPS) that self-modify to improve performance or repair damage often rewrite the modular relationships that make system modeling or Verification and Validation (V&V) possible. In this project, we are exploring methods to create self- modifying CPS systems that, in addition to self-improving or self-repairing, are also capable of maintaining system models that support the use of V&V techniques.

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Visible to the public Tumor and Organs at Risk Motion: An Opportunity for Better DMLC IMRT Delivery Systems

Abstract:

Intensity modulated radiation therapy (IMRT) requires tight coordination between computational systems and the physical devices that deliver the prescribed treatment plan, making it a perfect example of cyber-physical system. The current approach to addressing tumor motion in radiation therapy is to treat it as a problem and not as a therapeutic opportunity. Existing treatment planning methods attempt to create dose distributions that are at best dosimetrically equivalent to the static case.