Research Proposal
The real benefit of scientific advancement and technology can only be realized when we can affect and
change life of the people who are not as fortunate as most of us. As computation technology moves to
the next level with the advancement in the field of telecommunication, computational devices,
molecular biology and genetics, the human-computer interaction is becoming much more productive in
terms of benefiting millions of human life around the world. The broader application of them can be
utilized in unfolding nature’s one of the most powerful computational device: the human brain.
With bachelor’s degree in Electronics and Communication engineering, and masters degree with a
research background in wireless distributed system, I want to study brain with a quantitative approach
considering various psychological, biological and chemical factors.
In my course of study and research in order to become a neuroscientist in future, I decided to take
following approaches:
1) Modeling approach to develop tools, bio-medical simulation systems, devices and methodologies for
brain imaging and mapping functions.
2) Correlation and media-based approach to understand human behavior, learning process by studying
results from human-cognition based experiments
1) Modeling approach to develop tools, bio-medical simulation systems,
devices and methodologies for brain imaging and mapping functions.
The experimental approach will consist of 3 major paths:
a) Physiological Approach by understanding brain as a complex network: Studying brain as a
complex distrusted computational environment where the important functional parts of brain act
as nodes. The research will focus on how different parts, glands of the brain interact with each
other to make decision and effect our reflex, hormonal level or emotional outcome under different
scenario.
b) Biologically inspired artificially produced intelligent systems for vision cognition, decision
making, audio generation: Studying, understanding and reverse engineering the visual
system in birds, human beings, and in other mammals under different lighting environment, or
under different area of decision making. Based on these understanding, development of
biologically inspired materials and computational devices that can work with higher efficiency.
c) Experimental approach to understand nerve-cells in nanolevel : understanding mechanochemical coupling involved in regulating neuron and brain cells. With further experimental as well as
quantitative knowledge on brain-cell activities, I want to understand effect of external forces such as
light, heat, mechanical forces etc on nerve cells.
However, I do not have any hands-on experiment in the field of biology and photonics. I hope to learn
neuro- imaging techniques, study neuro-chemical processes and work in this inter-disciplinary field
applying my knowledge in information theory and distributed systems once I participate as a Graduate
Student.
2) Theoretical approach to understand human behavior, learning process by
studying results from human-cognition based experiments
The theoretical approach will consist of 2 major paths:
a) Computational Simulation environment: Developing tools for multimedia based simulation
environments that can help to make experiments on visual perception ability, and help researchers
and medical practitioners worldwide.
b) Psychological Approach: Modeling data and deriving algorithms from various learning/
psychological experiments on children and aged persons. Deriving correlation between the
performance of the people participating in those experiments with their age, social factor, gender,
emotional circumstance, IQ, gene and family-member characteristics.
An extensive knowledge in psychology, statistics, machine learning will be needed along with the
experimental data obtained from my experimental approaches. However, the two interdisciplinary
path will actually enrich each other in long run.