|Asst Prof Abdulkadir C. Yucel||(i) Fast frequency and time domain electromagnetic simulators with applications to the VLSI/microwave/terahertz circuits, biomedical, photonics, wireless channel characterization, and analysis of highly inhomogeneous media.
(ii) Applications of machine learning, deep learning, and uncertainty quantification techniques to the electromagnetics
|Assoc Prof Andrew James Kricker||Prof. Kricker's most significant research interest lies in the mathematical ramifications of current developments in mathematical and theoretical physics. To be precise, he is interested in the ramifications of certain developments in quantum field theory and quantum gravity in the fields of topology, algebra, and combinatorics. Prof. Kricker's particular speciality is in so-called "quantum topological invariants". These are invariants of knots, 3-manifolds, and various other low-dimensional topological structures, that arise from Topological Quantum Field Theories. More generally, he has a considerable general interest in the fields that surround this topic: knot theory, the theory of low-dimensional manifolds, Lie algebras, Hopf algebras, representation theory, homological algebra, algebraic combinatorics, and so on.
|Asst Prof Bent Weber||• Atomic and electronic structure of two-dimensional and topological materials
• Quantum information processing science and technology
• Nanoelectronic and quantum device physics
• Low-temperature scanning probe microscopy
• Atomic manipulations and lithography
|Assoc Prof Cesare Soci||Our research embraces several key areas of nanoelectronics and nanophotonics, including organic semiconductors and plasmonic materials, as well as new ideas on specialty optical fibers and “cognitive photonic networks”. We are particularly interested in fundamental properties of materials emerging from small dimensionality, large interface area, hybridization and artificial nanostructuring.
|Assoc Prof Chai Gin Boay||Composite Materials & Structures, Buckling and Failure of Structures,
Practical Application of Finite Element softwares (ANSYS, ABAQUS, MARC/MENTAT).
|Dr Chang Guoqing||G. Chang has a broad interest in computational condensed matter physics and materials science. Combining cutting-edge computational and analytical techniques, G. Chang focuses on electronic, magnetic, and optical properties of various topological phases of matter.
* Topological Quantum Optoelectronics
* Low-Dimensional Quantum Materials
* Topological Quantum Magnets
* Topological Superconductors
* Topological Quantum Systems With Strong Correlation
|Asst Prof Chang Wonkeun||- Ultrafast light-matter interactions
- Light source development in mid-infrared and vacuum-ultraviolet
- Ultrashort pulse generation
- Complex dynamics in pulsed laser systems
|Dr Chen Yu||General Relativity; Condensed Matter Physics
|Assoc Prof Cheong Siew Ann||Asst Prof CHEONG Siew Ann's areas of expertise are in computational physics, complex system dynamics, and bioinformatics. He is currently working on the development of self-consistent stochastic boundary conditions for ab initio and molecular dynamics simulations, methods to accelerate Monte Carlo simulations and high-dimensional optimization. He is also interested in developing automatic coarse-graining algorithms to perform data-driven identification of effective degrees of freedom in financial markets, very-large-scale computer simulations. He is also working on applying ideas from the Renormalization Group in statistical physics to the mining of very-large-scale databases.
|Assoc Prof Chew Lock Yue||Dr Chew research interest is to investigate and uncover the fundamental physical mechanisms and organization principles of complex systems. He explores and elucidates the underlying behaviour and dynamics of these systems through theoretical modelling based on statistical and nonlinear physics. His current research focus is on the topic of: quantum complexity; quantum chaos and entanglement; statistical physics of protein aggregation; critical phenomena in social and coupled social-ecological systems; complexity measure and characterization of complex systems.