Farshad Madani

Design Structure Matrix

Trial and error are inevitable in the process of software development; unfocused communication wastes valuable resources during redesign. To speed up this development process, an optimization of the information flow and a redesign of the development organization were initiated, specifically by creating “chunks” or groupings of tasks and people. First, we investigated the information flow between tasks and utilized the Design Structure Matrix (DSM) to couple tasks into phases, thereby reducing information exchange among chunks of tasks and eliminating the redundant iterations of tasks. Meanwhile, we also grouped the engineers into groups in order to eliminate wasteful communications between the groups of engineers. We depicted the social network defined by the information flow within the software development sector and compared the new arrangement to the old arrangement in a visible way. This new arrangement will facilitate the communications between engineers and speed up the process of software development.

`Technology Mining' bibliometrics analysis: applying network analysis and cluster analysis

According to advances in text mining methods and tools, technology mining, or its brevity ‘tech mining’, is one of recent research areas progressively emerged in technology management area. Over past two decades, this area has been attractive for many scholars in business management, technology management, and computer science departments. The majority of tech mining applications is concentrated on analyzing patents which is also called patent mining by some scholars; moreover, there are some researchers reported tech mining applied to other types of technological documents like RD there is a jump in the number of publications after 2005 and a huge rise in the number of citation after 2012.

‘Smart building’ technology network analysis: applying core–periphery structure analysis

Abstract In this research, network analysis is applied to examine smart building patents to find the most effective technologies and novel opportunities for innovation. Core–periphery structure is the main analysis method deployed to exploit the most effective patents in the core network as basic inventions in smart building technologies, and also to explore the periphery network for novel opportunities to develop new technologies.

Keyword-based patent citation prediction via information theory

ABSTRACT Patent citation shows how a technology impacts other inventions, so the number of patent citations (backward citations) is used in many technology prediction studies. Current prediction methods use patent citations, but since it may take a long time till a patent is cited by other inventors, identifying impactful patents based on their citations is not an effective way. The prediction method offered in this article predicts patent citations based on the content of patents. In this research, Reconstructability Analysis (RA), which is based on information theory and graph theory, is applied to predict patent citations based on keywords extracted from the abstracts of selected patents. After applying three classes of RA (variable-based analysis without and with loops and state-based analysis), nine specific IV states of a predicting model are extracted. These states involve the four keywords of “chamber”, “hous”, “main”, and “return”. Lastly, the abstracts of the patents are examined to identify the technical subjects relevant to smart building technologies for which these keywords are proxies.

Technology Road Map for Tesla Motors Sedan EV

In order for the USA, as well as other nations, to decrease their dependency and reliance on imported fossil fuel, to control and reduce the largest source of their carbon emission, and to secure their national transportation system, a faster transition from the internal combustion engine to the electric vehicle has to be promoted. The public and private sectors will have to work hand in hand to ensure reaching such a national goal.