Dr. Majid Khan's research focuses on developing application-oriented mathematical and artificial intelligence frameworks for cybersecurity, intelligent decision-making, healthcare, education, and engineering systems. His work integrates cryptography, image encryption, computational intelligence, machine learning, optimization, fuzzy set theory, and multi-criteria decision-making (MCDM) to design secure communication systems and data-driven decision-support models. His research emphasizes mathematically rigorous yet practically deployable solutions for intelligent analytics, educational assessment, and complex decision environments, bridging advanced mathematical theory with real-world applications.