Research Area

As a researcher, you have the independence to pursue your preferred combination of areas of study and research with a faculty supervisor. You complete twelve (12 )modules of the technologies and four (4) modules for product research and thesis – a total of sixteen (16) modules and research thesis – to fulfill your “fellow” requirements.

The basic requirements of the research thesis are for encouraging researchers to spend adequate time on their work, organize and attend seminars and workshops and use them over two-to-five years terms and publishing their research thesis. After all, the company would like to be befitted too. Researchers may initiate or join the research any time of the program, depending on depth and intensity of the research.

Our main research focus areas are:

Ambient Computing Design

a concept that revolves around the seamless integration of AI and ML technologies into our surroundings to automate tasks and enhance our daily lives. It leverages interconnected devices, data analytics, foundation models and artificial intelligence to create personalized experiences and improve efficiency. Voice assistants, cognitive interfaces, remote monitoring devices, IoT-enabled sensors in agriculture, and connected retail technologies are all examples of how ambient computing is already being implemented. As IoT continues to expand and strengthen, the potential for ambient computing to transform lives becomes promising

Cognitive Graphic Interfaces

computer-based systems will need cognitive graphic interfaces to achieve sufficiently robust and intelligent human interaction. These cognitive interfaces will be characterized by the ability to support inference and reasoning, planning under uncertainty, short-term adaptation, and long-term learning from experience. An appropriate combination of engineering and cognitive framework for such interfaces is provided by partially observable decision-making processes that integrate belief tracking and reward-based learning. The benefits of this approach are demonstrated, for example, with a simple gesture-driven interface to a Nintendo like application  

Creative Neural Decoders

reconstruction of sensory and other stimuli from information that has already been encoded and represented in the complex system by networks of neurons. Reconstruction refers to the ability of the researcher to predict what sensory stimuli the subject is receiving based purely on neuron action potentials. Therefore, the main goal of creative neural decoding is to characterize how the activity of neurons elicit activity and responses in the system. The range of stimuli that is presented to the observer, we expect the neurons to adapt to the statistical properties of the signals, encoding those that occur most frequently and creative neural decoding process take these statistical consistencies, a statistical model of the world, and reproduce the stimuli. This may map to the process of thinking and acting, which in turn guide what stimuli we receive, and thus, completing the loop

Inferencing Molecular Dynamics

understanding interactions among cells, within neural networks, requires accurate representation of cell-cell signaling links and effective systems-level analyses of those links. We construct a database of interactions among ligands, receptors and their cofactors that accurately represent known molecular complexes. Develop neural connector, a tool that is able to quantitatively infer and analyze inter-cellular communication networks from single-cell-sequencing data. Neural connector predicts major signaling inputs and outputs for cells and how those cells and signals coordinate for functions using network analysis and pattern recognition approaches. Through manifold learning and quantitative contrasts, neural network classifies signaling pathways and delineates conserved and context-specific pathways across different datasets and applying neural connector to knowledge and expert system for signaling patterns

Mind Adoption Oscillators

Oscillations can often be described and analyzed using mathematics. Mathematicians have identified several dynamical mechanisms that generate rhythmicity. Among the most important are harmonic (linear) oscillators, limit cycle oscillators, and delayed-feedback oscillators. Harmonic oscillations appear very frequently in nature – examples are sound waves, the motion of a pendulum, and vibrations of every sort. Limit-cycle oscillations arise from physical systems that show large deviations from equilibrium, whereas delayed-feedback oscillations arise when components of a system affect each other after significant time delays. A heartbeat is an example of a limit-cycle oscillation in that the frequency of beats varies widely. Limit-cycle oscillations can be complex but there are powerful mathematical tools for analyzing them; the mathematics of delayed-feedback oscillations is primitive in comparison. Computational models adopt a variety of abstractions in order to describe complex oscillatory dynamics observed in human activity

Advanced Optical Lithography

a photon-based technique comprised of projecting an image into a photosensitive emulsion (photoresist) coated onto a substrate such as a silicon wafer. It is the most widely used lithography process in the high-volume manufacturing of nano-electronics by the semiconductor industry. Optical lithography’s ubiquitous use is a direct result of its highly parallel nature allowing vast amounts of information to be transferred very rapidly. The goal is to examine innovative solutions and technologies to enable next generation lithography. We will investigate the optical properties, stability and reactivity of new mask materials through complementary characterization techniques especially Photoelectron Spectroscopy (XPS). We will combine this with rigorous simulations based on electromagnetic wave theory of light and lithography process model to obtain thorough understanding of the optical effects and how they transfer to wafer level. Based on modeling predictions, a prospective design can be prepared