Arghya Pal

Dr. Arghya Pal is a Lecturer at the Malaysia School of Information Technology, Monash University. His research focuses on causality, generative models, and computer vision, with notable contributions in medical imaging optimization, bias detection in AI systems, and cryptographic applications of autoencoders. He has led or co-investigated projects such as Æinstein: Adversarial AI amongst Materials Discovery Domains (2024–2026) and Memory Efficient Fast Sampling of Diffusion Model (2023–2024).

Research Interests:

• Causality and bias analysis in machine learning
• Generative models for multimedia applications
• Computer vision techniques in medical imaging
• Cryptography and AI-driven security systems

Awards:

• Magna cum laude (2022)

Grants/Projects:

• Primary Investigator: Memory Efficient Fast Sampling of Diffusion Model (2023–2024)
• Chief Investigator: Æinstein Project (2024–2026)