Artificial Intelligence (AI) Laboratory
LEADERSHIP
Artificial Intelligence (AI) Laboratory
The AI Lab is a center for advanced research and innovation in Artificial Intelligence, focusing on the development of next-generation intelligent systems. The lab works on cutting-edge areas such as:
- Large Language Models (LLMs),
- Diffusion language models,
- Hierarchical speculative decoding
- AI-assisted 3D reconstruction,
- Temporal memory architectures, and
- Continuous sign language recognition.
Research in the AI Lab bridges theory and real-world application — from optimizing LLM serving efficiency to developing AI-driven healthcare, vision, and multimodal systems. With collaborations involving faculties from institutions such as University of Nebraska at Omaha, Imperial College London, University of the Littoral Opal Coast, and Microsoft, the lab provides a globally connected research environment.
The AI Lab is committed to building scalable, efficient, and socially impactful AI systems that address both global technological challenges and local societal needs.
LEADERSHIP
Laboratory In-charge
Dr. Suresh Manandhar
Honorary Chair, Visiting Professor
RESEARCH PIPELINE
Ongoing Research in GATC Laboratory
Multimodal Audio LLMs: State-of-the-art audio-driven language models integrating speech recognition and synthesis with contextual AI.
Researchers: Bishwojyuoti Chaudhary
Multimodal Audio LLMs: State-of-the-art audio-driven language models integrating speech recognition and synthesis with contextual AI.
Researchers: Bishwojyuoti Chaudhary
Structure-Based Virtual Screening and Activity Prediction of Millions of Molecules Using Machine Learning
Researchers: Image Acharya
Nepali Large Language Model: Customized NLP model fine-tuned on Nepali datasets for localized AI applications and digital inclusion.
Researchers: Rupesh Aryal
Healthcare Multimodal LLMs: Integrating clinical text, imaging, and speech data with deep learning for precision diagnostics and patient care.
Researchers: Suman Karki
Efficient LLM Serving through Hierarchical Speculative Decoding with Adaptive Routing
Researchers: Rishab Aryal
AI-Assisted Retopology for High-Fidelity 3D Face Reconstruction.
Researchers: Rupesh Maharjan
Diffusion Language Models (DLM)
Researchers: Ashok Pahadi
Importance-Driven Temporal Memory Architectures for Large Language Models: Prioritizing Important Past Events Over Recent Noise
Researchers: Bhim Prasad Rajbansi
Multi-Source Learning for Robust Brain Tumor Segmentation Across Heterogeneous MRI Datasets
Researchers: Usha Poudel Lamgade
Nepali Large Language Model: Enhancing Drug-Induced Liver Injury Prediction: Using Multi-Modal Graph Neural Networks with Explainable AI
Researchers: Manish Tiwari
Deep Learning Framework for Flood Prediction and Flood-Induced Food Security Risk Assessment in Koshi Province, Nepal
Researchers: Nikesh Aryal
Data Efficient Learning for Embodied Intelligence: Models, Analysis and Methods.
Researchers: Siman Giri
Physics-Aware Artificial Intelligence for Flood Prediction in the Bagmati River Basin, Nepal.
Researchers: Ashim Babu Shrestha