Projects
Dr. Bunil Kumar Balabantaray has led and contributed to a diverse array of research projects at NIT Meghalaya, focusing on advancing technology in computer science and engineering. His work spans natural language processing, machine learning, and cybersecurity, addressing real-world challenges through innovative solutions. From developing language models for regional dialects to enhancing secure systems, his projects reflect a commitment to impactful research and collaboration with students and fellow researchers.
Sponsored and Consultancy Projects
- Deep Learning Approach for Preservation of Cultural Heritage, SERB, Department of Science and Technology (DST), India
- An artificial intelligence approach to solve waste management challenges, Ficha Inc., France
- Enhancement of Dermo Choice Application- UI Refinement, Computation API and Privacy Policy, CHOWIS, South Korea
- Design and Development of Intelligent Algorithms for Analysis and Detection of Obscene Content and Forgery in the Image Available in Social Media Platform, BPR&D, MHA, Govt. of India
- GAN Based Medical Image Dataset Synthesis for Desease prediction, NVIDIA(India)
- Development of hybrid AI-Powered attacks and its counter-measure mechanisms, Cyber Security Division, Ministry of Electronics and Information Technology, Govt. of India.
Research Projects
- Design of and Development of Intelligent Algorithms for Analysis and Detection of Obscene Content and Forgery in the Images Available in Social Media Platform.
- Early detection of Lung cancer using Machine learning.
- Development of efficient mesh segmentation algorithm using deep learning techniques.
- Development of Intelligent Algorithm for Optimal Cloudlet placement in a wireless Metropolitan Area Network.
- Development of Decision Support System for Colorectal Cancer Detection.
- Melanoma Detection using Advanced Deep Neural Network.
- Development of Computer Aided System for Detection of Breast Malignancy using Deep Learning.
- Development of Novel Categorical Classification and Object Localization Model on Multi-domain Input using Deep Learning.
- Development of CAD system to detect disease from medical images using deep learning.
- Development of Intelligent Algorithm for Path Planning of Autonomous Mobile Robot Using Heuristic Approaches.
- Detection and Analysis of Copy-move Image Forgery in Digital Images.
- Handwritten Character Recognition.
- CASIA Image Tampering Detection.
- CoMoFoD Image Forgery Detection and Localization.
- DCGAN Cifar-10 Image Generation.
- Tweet Sentiment Analysis (Word2Vec + Dense Layers, 1-D CNN).
- Network Intrusion Detection (EDA, Classification, Supervised Methods , Unsupervised Clusturing).
- Exo planet classification (EDA, Feature Engineering).
- ATARI Breakout/Pong OpenAI Gym Agent training (Action Space, Agent and Environment States).
- Synthetic Image Generation Using GAN
