Area of Research:

Advanced Materials

Research Highlights :

Fabrication of semiconductor nanostructures for energy generation and storage

Area of Research:

Advanced Materials

Research Highlights :

Plasmonics for energy generation

Area of Research:

Medicinal Plants & metabolic syndrome

Research Highlights :

Biochemistry and molecular biology of phytochemical molecules isolated from natural products based on traditional knowledge. Biochemical screening of isolated compound(s) is targeted towards metabolic syndrome focusing on obesity-related type II diabetes (T2D). The current research involves the screening of bioactive compounds from scented rice for its potent anti-diabetic activity and elucidating the downstream mechanism involved. The research is directed through in vitro screening of bioactive compound(s) through various chromatographic techniques and investigating its detailed activity and the downstream mechanism through in vitro (cell culture) and in vivo model system. Research gate link:- https://www.researchgate.net/profile/Paramita_Choudhury

Area of Research:

Advanced Material Sciences

Research Highlights :

Heterogeneous semiconductor photocatalysis is one of the green and sustainable roots to address energy and environmental issues such as H2 generation by water splitting and removal of toxic organic compounds from the environment. Designing an active photocatalyst is a crucial challenge for such photocatalytic applications. We are working on designing photocatalyst suitable for application under UV-visible to near infra-red region of solar spectrum. Our focus is to use the plasmonic metal nanoparticles to concentrate light energy on a nanoscale confinement for driving efficient photocatalytic processes. ResearchGate link: https://www.researchgate.net/profile/Trishamoni_Kashyap

Area of Research:

Computer Vision, Pattern Recognition, Image Processing, Biomedical Imaging, Artificial Intelligence

Research Highlights :

My area of research is Artificial Intelligence (AI) in biomedical imaging. I currently work on the development of Machine learning and Deep learning algorithms for classification and grading of the biopsy tissue samples. The fundamental idea for such work is the development of a Decision Support System for a precise and timely diagnosis for the pathological assistant. Currently, I am working on childhood medulloblastoma samples. Childhood medulloblastoma is a W.H.O grade IV brain tumor that is commonly seen in infants and children. The research is being carried on indigenous data with the help of our collaborating medical centers. The objective of my work is to automate the whole process of cell extraction from microscopic biopsy samples and identifying the histological variant studying the cell distribution and cell characteristics. Any person interested can follow my work at https://www.researchgate.net/profile/Daisy_Das3.

Area of Research:

Computational Materials Science

Research Highlights :

Recently joined. Research topic yet to be formulated

Area of Research:

Artificial Intelligence in Medical Image Analysis (histopathological image analysis)

Research Highlights :

Computer-aided- diagnosis can significantly assist pathologists to screen with correct predictions at a faster rate which when done manually, may introduce inter-observer variability and also makes the microscope observation tedious and time-consuming. The main focus of my research is to develop deep learning or machine learning based solution for histopathological image analysis with primary focus on automated diagnosis of cervical dysplasia. We are currently working on deep learning based nuclear segmentation of whole slide image (WSI) and binary (normal-abnormal) as well as multi-class (normal and abnormal sub-types) classification of cervical cancer histopathology using pap smear images.

Area of Research:

Fluid dynamics

Research Highlights :

We approach numerically and analytically to deal with the governing equations of free convective heat and mass hydrodynamic flow of both Newtonian and non-Newtonian fluid. We consider the flow in various configurations and observe the influence of various involved non-dimensional parameters on the characteristics of the fluid profiles. We are also dealing with the application of fluid dynamics in Geophysics. Researchgate link: https://www.researchgate.net/profile/Silpisikha_Goswami Blog: https://fairytales30.blogspot.com

Area of Research:

Stochastic Modelling with special reference to Queuing Systems

Research Highlights :

: Models on unreliable servers are developed under different vacation schedules and control operating policies. ResearchGate link: https://www.researchgate.net/profile/Anjana_Begum

Area of Research:

Experimental soft matter physics

Research Highlights :

Structural, optical and electrical responses of organic nanocomposites.

Area of Research:

Medicinal plants, Metabolic Syndrome

Research Highlights :

Area of Research:

Computational Materials Science

Research Highlights :

Transition metal nitrides are treated as alternative plasmonic materials for their refractory and good plasmonic properties. There are already a handsome numbers of experimental works on this field as compared to the theoretical works. Also, most of the theoretical works are carried out on bulk systems. We're taking the transition metal nitride nanocluster systems and studying their electronic and optical properties towards plasmonic behaviour using first principles methods. Density Functional Theory (DFT) and Time-Dependent Density Functional Theory (TDDFT) are the underlying theorems for this study. Researchgate link: https://www.researchgate.net/profile/Purbajyoti_Bhagowati Blog: http://pbhagowati.blogspot.in/

Area of Research:

Computational Biology

Research Highlights :

Investigating the role of regulators and factors involved in gene expression during development and disease.

Area of Research:

Computational Materials Science

Research Highlights :

Heusler compounds, due to their tunable electronic structure, show variety of magnetic properties and one can study the modulation of these magnetic properties by computational modelling methods. Non-collinear magnetism has large probability for applications in spintronic devices and according to some experimental reports Mn-based Heusler compounds possess non-collinear magnetic properties. So, we are studying the electronic and magnetic behaviour of Mn2PtSn Heusler compound with the help of first-principle method based on Density Functional Theory (DFT) using the software Vienna Ab-initio Simulation Package (VASP). ResearchGate link : https://www.researchgate.net/profile/Payal_Saha

Area of Research:

Soft matter thin films and nano-materials .

Research Highlights :

Structural, electrical and optical properties of soft matter thin films and nano-materials.

Area of Research:

Study on various phenomena in Laser-Plasma interactions

Research Highlights :

The interaction of an intense laser field with plasma leads to various interesting phenomena, which finds immense applications in a variety of science fields, including Material, Life, Nuclear science and technology etc. One of the major motivation of the study of laser-plasma interactions is its application potential in the Inertial Confinement Fusion (ICF) to produce clean and sustainable energy. Computer simulations serves as a great tool in understanding the mechanisms involving the synergy of highly intense laser with matter, which are sometimes difficult through experiments. Using Particle in Cell (PIC) simulations, an investigation on various mechanisms of ion acceleration are attempted, which may help in the optimization of the energetic ion beams, which are generated as a result of the interaction of high power laser with matter.