| Specialization: |
|---|
| DIGITAL IMAGE PROCESSING, DATA MINING, MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, HEALTH INFORMATICS |
| 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 |
| INSTITUTION | DESIGNATION | DURATION |
| GU-IT | GUEST FACULTY | APRIL -JULY 2022 |
| GIMT | GUEST FACULTY | APRIL -JULY 2022 |
| CDAC-AEC | GUEST FACULTY | SEPTEMBER- NOVEMBER 2022 |
PHD THESIS TITLE: ANALYSIS AND DETECTION OF ALZHEIMER'S DISEASE FROM MAGNETIC RESONANCE IMAGE USING IMAGE PROCESSING TECHNIQUES.
PUBLICATIONS:
Journal Article
1. “Machine Learning Based Smart Grid Prediction Models For Enhancing Environmental Sustainability.” JOURNAL OF
APPLIED AND NATURAL SCIENCE (SCOPUS).
2. “Hybrid 1d-CNN and Transformer Based Deep Learning Framework for Stroke Detection Using Brain CT Scans.”PROCEDIA COMPUTER SCIENCE (SCOPUS).
3. “A Novel Framework For Stroke Detection using Hybrid Adaptive Transformers and Multi-Head Self-Attention.”
DISCOVER NEUROSCIENCE (SCI, IF:4.0).
4. “15 YEARS OF OPTIMIZERS IN MEDICAL DEEP LEARNING: A SYSTEMATIC REVIEW.”NEUROSCIENCE INFORMATICS (SCOPUS).
5. “Transforming Skin Cancer Detection with AI based Convolutional and Transformer Models.”IRADIOLOGY(SCOPUS).
6. “Early alzheimer’s disease detection:A review of machine learning techniques for forecasting transition from mild cognitive impairment.” DIAGNOSTICS (SCI IF:3.0).
7. “Enhanced Peer-to-Peer Botnet Detection using Differential Evolution for Optimized Feature Selection”.FUTURE INTERNET (SCI IF:2.8).
8. "Advancing deep learning for automated stroke detection: a review." BRAIN HEMORRHAGES (SCI IF:1.4).
9.“Optimized CNN-Based Approach for Alzheimer’s Disease by Tackling Class Imbalance in MRI Classification.”
RELIABILITY: THEORY & APPLICATIONS (SCOPUS).
10. “Comprehensive Evaluation and Performance Analysis of a Deep Learning Model with Hyperparameter Tuning for Lumpy Skin Disease Classification in Dairy Cows.” RELIABILITY: THEORY & APPLICATIONS(SCOPUS).
11. “Innovative Approaches To Rice (Oryzasativa) Crop Health:A Comprehensive Analysis of Deep Transfer Learning for Early Disease Detection.” YUZUNCU YıL UNIVERSITY JOURNAL OF AGRICULTURAL SCIENCES (SCOPUS).
12. “Enhancing Monsoon Rainfall Forecasting in Assam and Meghalaya: A TimeSeries Analysis.” ANNALS OF MULTIDISCIPLINARY RESEARCH, INNOVATION AND TECHNOLOGY (AMRIT).
13. “Skull stripping of brain MRI for analysis of Alzheimer's disease.” INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOG, (SCI IF:0.6).
14. “Automatic Segmentation of Hippocampus and Classification of brain MRI for Alzheimer’s Detection.” INTERNATIONAL JOURNAL OF ADVANCED TRENDS IN COMPUTER SCIENCE AND ENGINEERING.
15. “A New Categorical Data Clustering Technique Based on Genetic Algorithm.” International Journal of Applied
Engineering Research (SCOPUS).
Patent Granted/Published
1. “SNACK PROCESSING DEVICE [ Indian Patent- Application No:202331036973A]”,Status:Published.
Selected Conference Proceeding and BookChapter Publications
Total Conference: 9 Nos, Book Chapter in International Publishers: 5
1. Comparative Efficacy of Focal and Binary Cross-Entropy Loss in Handling Class Imbalance for Stroke CT
Classification, 2026 Sixth International Conference on Advances in in Electrical, Computing, Communications and Sustainable Technologies (ICAECT) ,IEEE
2. Integrating XAI with Optimized CNNs: A Novel Approach for Imbalanced Alzheimer’s Disease Classification, International Conference on Emerging Trends and and Technologies on Intelligent Systems, (SCOPUS)
3. A hybrid 1D CNN and Transformer Based Deep Learning Framework for Stroke Detection using Brain CT, International Conference on Machine Learning and Data Engineering (ICMLDE-2025), (SCOPUS)
4. Challenges and Approaches in NLP for Low Resource and Endangered Languages of Northeast India and Southeast Asia, Regional International Conference on Natural Language Processing (RegICON)
5. Optimized CNN-Based Approach for Alzheimer’s Disease by Tackling Class Imbalance in MRI Classification, 2nd International Scientific and Technical Conference on "Infocommunication Systems and Artificial Intelligence Technology, (SCOPUS)
6. COMPREHENSIVE EVALUATION AND PERFORMANCE ANALYSIS OF A DEEP LEARNING MODEL WITH HYPERPARAMETER TUNING FOR LUMPY SKIN DISEASE CLASSIFICATION IN DAIRY COWS, 2nd International Scientific and Technical Conference on "Infocommunication Systems and Artificial Intelligence Technology, (SCOPUS)
7. Skull stripping of Brain MRI using edge based segmentation technique and morphological operation, Abstract Proceedings of the Symposium on Recent Trends Fostering Future of Engineering (RTFFE).
8. Categorizing and Quality Assessment of Tea leaves through Machine Learning –Based Grading Systems, Abstract Proceedings of the Symposium on Recent Trends Fostering Future of Engineering (RTFFE).
9. Atrophy measure of Brain cortex to detect Alzheimer’s disease from magnetic resonance images, Advances in Electronics, Communication and Computing: ETAEERE-2016, (SCOPUS)
10. Alzheimer’s disease detection from Brain MRI using threshold based segmentation, Abstract Proceedings of the National Seminar on Science and Technology for sustainable development
Selected Book Chapters in National Publishers and SLM
1. Remote Object Invocation and Distributed Objects, as SLM in IDOL, Gauhati University.
2. Decision Trees, as SLM in IDOL, Gauhati University
3. Structures and Pointers and File Handling, as ESLM in CDOE, Assam down town University
2024-25 Research Reward for outstanding contributions to research and development from AdtU for
the session 2024-25
2025 Best Paper Award in International Conference on Emerging Trends and Technologies on
Intelligent Systems (ETTIS-2025)
2025 Reviewer Award : Awarded by Information Processing in agriculture (SCOPUS/ESCI)
2014 INSPIRE Fellowship to pursue PhD from DST for securing First Class First Position in Master
Degree