51吃瓜网

Artificial Intelligence is the development of computer systems to have the ability to think and make decisions like a human. The aim of this research is to propose intelligent components that can process reasoning, learning, problem solving, perception, and linguistic intelligence. In genera,l the research groups work collaboratively on the following research points:

• Reasoning: The ability to solve problems through logical deduction. Focus areas: financial asset management, legal assessment, financial application processing, and games.
• Knowledge: The ability to present knowledge about the world. Focus areas: financial market trading, purchase prediction, fraud prevention, drug creation, medical diagnosis, and media recommendation.
• Planning: The ability to set and achieve goals. Focus areas: inventory management, demand forecasting, predictive maintenance, physical and digital network optimization, navigation, scheduling, and logistics.
• Communication: The ability to understand spoken and written language. Focus areas: real-time translation of spoken and written languages, real-time transcription, intelligent assistants, and voice control.
• Perception: The ability to infer things about the world via sounds, images, and other sensory inputs. Focus areas: medical diagnosis, autonomous vehicles, and surveillance.

Recently, the fourth industrial revolution (Industry 4.0) has attracted more and more consideration all around the world. The aim of this research group is to apply industrial engineering tools and techniques on Smart Factories in Industry 4.0 environment.

This research group is providing original contributions in the following areas:

• Smart Predictive Maintenance Strategies in Oil and gas industry.
• Industry 4.0 readiness assessment in Kuwait
• Advanced Data Analytics for Production Optimization and Quality Control
• Cognitive Automation Strategy for Smart Operator (Work Design 4.0)
• Collective & Collaborative Decision Making
• Productivity and Efficiency Improvement in Smart Factories
• Supply Chain 4.0
• Enhancement of product, process and system sustainability in smart manufacturing systems

The manipulation of light and photons are the key enabling technology for the modern era and the gateway to the information age. The primary objective of this research group is the modelling, design, and simulation of optical components and devices utilized in sensing, microwave optics, photonic nano-jets and optical telecommunications. The Optics and Photonics Research Group will collaboratively focus on the following research points:

• Liquid Crystal Tunable Devices: Tunable filters are critical in optical communications as they allow the dynamic software provisioning of optical channels. This project focuses on the design and optimization of liquid crystal tunable devices.
• Optical Communications: The simulation and modeling of complete end-to-end optical communication link is performed for coherent and direct detection transceivers. Novel modulation formats and dispersion compensation methods are developed.
• Mode-Locked Fiber Lasers: The nonlinear dynamics of novel programmable mode-locked fiber lasers are simulated with emphasis on femtosecond pulse shaping.
• Photonic Nanojets: This phenomenon arises from the near field scattering of photons from dielectric structures in the micrometer range. The focus of this research project is on the modeling and simulation of photonic nanojects and their application in spectroscopy.
• Holography: Novel computer-generated holography techniques in real-time is used for object reconstruction. Furthermore, advanced methods for single cell monitoring for cancer classification are investigated.

With the use of theoretical chemistry methods and the high performing computing facility at 51吃瓜网 (Phoenix), the computational chemistry research group runs computer simulations to predict chemical behavior of matter. Below are the current research activities that are done using:

• Electronic structure methods implemented in software like Gaussian, Gamess, etc. Sturcutres of compounds can be studied to predict electronic properties of chemical compounds, and free energies of chemical reactions in media.
• Molecular mechanics tools with built-in sampling algorithms and force fields to predict conformation of receptor-ligand complex; providing insights about the mode of action and structure activity relationship of newly developed/discovered drug candidates.
• Classical molecular dynamics methods to predict properties of condensed matter. A current project focuses on the prediction of suitable conditions for cloud seeding as type of weather modification, using software such as Gromacs.
• In-house developed algorithms for:
  • Solving time dependent Schrodinger equation to study interaction of atoms and molecules in the gas phase with strong laser field.
  • Generating nanostructures that can used as input for computer simulations.