Fields of Research
The application of intelligence to manufacturing has emerged as a compelling topic for researchers and industries around the world. Different terminologies, namely smart manufacturing (SM), intelligent manufacturing (IM), and Industry 4.0 have been applied to what may be broadly characterized as a similar paradigm by some researchers and practitioners. SEHS research group focuses on the modeling, optimization, and control of flexible manufacturing systems, and their interaction with inter/ intra entities through the IoT technology. The group is interested in the new trend of autonomous manufacturing systems inspired by living systems and nature using cyber-physical technology.
Pharma 4.0, analogous to Industry 4.0, intended to transform the traditional drug discovery and development model and help it to align product quality with less time to market, and create intelligent stakeholder networks with effective collaboration. Pharma 4.0 pervasiveness has produced several conceptualizations, which have, however, led to a lack of clarity and definition. The main emphasis of the SEHS research group is falling into drug development and manufacturing in the Pharma 4.0 era with more focus on clinical developments. The group is also interested in green drug production and green waste management.
Achieving an ideal manufacturing operation means observing and considering your current process, developing and implementing improvement strategies, then returning to observation to start the improvement cycle anew.
In short, blockchain is an encrypted digital database shared by several parties in a distributed network. Any transaction that occurs in the network is recorded, verified, and stored in a database. Transactions are broadcast to all network participants—creating an unalterable transaction log.
Blockchain is built on technology, where multiple copies of data exist across a network, rather than a single server or database. Because no centralized authority—or institution—controls it, participants can access the same version of the data in near real-time. The decentralized management allows for faster, less costly processing of transactions, while also allowing untrusted participants to reach consensus on the state of the database.