CURRENT PROJECTS
Active Research
Explore our current research initiatives making real-world impact
Data Science Research Facility
Active
2024-2026
Distinguishing between Gram-positive and Gram-negative Bacteria using Raman Spectroscopy and Deep Learning
AI /DS Research Facility
Covering bacterial classification using Raman spectroscopy combined with deep learning techniques for rapid pathogen identification.
Active
2024-2026
Real-time sensor fusion with predictive analytics and anomaly detection to detect and manage early wildfires
AI /DS Research Facility
Covering multi-sensor integration, predictive wildfire modeling, anomaly detection systems, and real-time environmental monitoring.
Active
2024-2026
Predicting Risk, Preventing Fraud: AI Driven Solutions for Safer Fintech
AI /DS Research Facility
Covering financial fraud detection, risk prediction models, AI-driven security solutions, and fintech safety systems.
Active
2024-2026
IoT-enabled, data science-powered wildlife behavior analytics for non-invasive human-wildlife conflict mitigation
AI /DS Research Facility
Covering wildlife monitoring through IoT, behavioral analytics, conflict prediction models, and conservation technology solutions.
Active
2024-2026
AI-IoT based Data-Driven Precision Agriculture for Enhanced Crop Management
AI /DS Research Facility
Covering smart farming systems, IoT sensor networks, precision agriculture analytics, and data-driven crop management optimization.
Active
2025-2027
Hybrid Parser Framework Using RegEx and Named Entity Recognition (NER)
DS Research Facility
Covering hybrid parsing techniques combining regular expressions with Named Entity Recognition for improved text processing and information extraction.
Active
2025-2027
Multi-Source Learning for Robust Brain Tumor Segmentation Across Heterogeneous MRI Datasets
AI /DS Research Facility
Covering multi-source learning approaches, robust segmentation techniques, and handling heterogeneous medical imaging data for brain tumor detection.
Active
2025-2027
Detection of Suspicious Transactions Using ML: An XGBoost-Enhanced Rule-Based Approach for Nepal's Remittance Sector Under NRB Directives 19
AI /DS Research Facility
Covering machine learning for financial fraud detection, XGBoost algorithms, rule-based systems enhancement, and regulatory compliance for remittance monitoring.
Active
2025-2027
Sensor Fusion Based Smart Vehicle detection System
AI /DS/IoT Research Facility
Covering vehicle detection systems, real-time warning mechanisms, road safety technology, and collision prevention for hazardous mountain roads.
Active
2025-2027
Predicting waterborne disease outbreak based on IoT connected Realtime water quality monitoring systems
AI /DS Research Facility
Covering IoT sensor networks, real-time water quality analysis, disease outbreak prediction, and public health monitoring systems.