Dr. Dulumani Das

Dr. Dulumani Das

About

Specialization:
DIGITAL IMAGE PROCESSING, DATA MINING

Qualification

EDUCATION BOARD/UNIVERSITY PERCENTAGE DIV
HSLC SEBA 83.3

I

DSTN

HS AHSEC 67.6 I
B.SC DIBRUGARH UNIVERSITY 72.2 I
M.SC GAUHATI UNIVERSITY 92.35 I
P.hD GAUHATI UNIVERSITY    

 

Personal Interest

GARDENING AND EXPLORING NEW TRAVEL SITES

Working Experience

INSTITUTION DESIGNATION DURATION
GU-IT GUEST FACULTY APRIL -JULY 2022
GIMT GUEST FACULTY APRIL -JULY 2022
CDAC-AEC GUEST FACULTY SEPTEMBER- NOVEMBER 2022

 

Research

PHD THESIS TITLE: ANALYSIS AND DETECTION OF ALZHEIMER'S DISEASE FROM MAGNETIC RESONANCE IMAGE USING IMAGE PROCESSING TECHNIQUES.

PUBLICATIONS:

1. Skull stripping of brain MRI for analysis of Alzheimer’s disease, Int. J. Biomedical Engineering and Technology, Vol. 36, No. 4, 2021(Scopus)

2. Atrophy Measure of Brain Cortex to Detect Alzheimer’s Disease from Magnetic Resonance Images, Advances in Electronics, Communicationand Computing, Lecture Notes in Electrical Engineering 443,https://doi.org/10.1007/978-981-10-4765-7_43 (Scopus)

3. A New Categorical Data Clustering Technique Based on Genetic Algorithm, International journal of Applied Engineering Research ,ISSN 0973-4562, Vol. 12, No. 22, 2017. pp. 12075-12082. (Scopus)

4. Automatic Segmentation of Hippocampus and Classificationof brain MRI for Alzheimer’s Detection, International Journal of Advanced Trends in Computer Science and Engineering, Vol. 10, No. 3, 2021.

5. Analysis of Different Features for Alzheimer’s detection using Support Vector Machine and K-Nearest Neighbor, IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 8 Issue 7, July 2021 ,ISSN (Online) 2348 – 7968 | Impact Factor (2020) – 6.72

6. Skull Stripping of Brain MRI using Edge Based Segmentation Technique and Morphological Operation, Advancement in Computer Technology, ISBN 978-93-5926-083-5.

7. Categorizing and Quality Assessment  of Tea Leaves through Machine Learning-Based Grading System, Advancement in Computer Technology, ISBN 978-93-5926-083-5.

 

 

Awards & Achievements

SECURED FIRST CLASS FIRST POSITION IN MSC-IT FROM GAUHATI UNIVERSITY AND RECEIVED INSPIRE FELLOWSHIP TO PURSUE PHD.