Emdad Khan

Dr. Emdad Khan is an Adjunct Professor of Computer Science at Maharishi University of Management. He holds a PhD in Computer Science from the University of California, Santa Cruz, along with MS degrees in Electrical Engineering (University of New Orleans) and Engineering Management (Stanford University), and a BS in Electrical Engineering from Bangladesh University of Engineering & Technology.

His research focuses on Natural Language Processing (NLP), Artificial Intelligence (AI), Big Data, Machine Learning, and their applications in Intelligent Internet systems, Biological Systems, and multi-disciplinary education. He has pioneered technologies like netECHO (voice-based Internet access) and the Semantic Engine using Brain-Like Approach (SEBLA), emphasizing brain-inspired algorithms for solving NLU challenges.

With 23 patents and over 75 publications, Dr. Khan has authored books including Internet for Everyone: Reshaping the Global Economy (2011) and contributed to academic works on neural networks and fuzzy systems. His work bridges technical innovation with social impact, aiming to drive economic development and global peace through technology.

Dr. Khan has presented plenary talks at major conferences such as the 17th International Conference on Artificial Intelligence (AIKED ’17) and the 15th International Conference on Applied Computer Science (2016). His research explores brain-like algorithms for cognitive computing and biological systems analysis, integrating principles from Vedic Science and the Science of Creative Intelligence.