Emdad Khan

About

Engineering Faculty

Bio

Dr. Khan worked in both academia and industry for over 20 years.  He has taught various courses including AI, Gen AI,  Intelligent Agents, Machine Learning, Natural Language Processing, Algorithms, Human Computer Interactions, Software Engineering and Software Architecture.

Dr. Khan’s research areas include AI, GenAI, Natural Language Processing, Muti-Agent Systems, Machine Learning, Big Data, Intelligent Agent, Human-Computer Interaction, and their applications, especially, in the areas of Internet / Intelligent Internet and Biological Systems. Dr. Khan also focuses on multi-disciplinary education with an emphasis on innovation and entrepreneurship to help global development – economic, social, cultural, and more, with emphasis on increased peace & prosperity.

Khan holds 23 patents and has published over 75 journal & conference papers on the advent of Intelligent Internet, Content Rendering, Lifelong Machine Learning, AI, Natural Language Processing/Understanding/Generation, Big Data, Bioinformatics, Software Engineering, Neural Nets, fuzzy logic, Intelligent Systems, VLSI, and optics. Khan’s acute technical knowledge and keen understanding of emerging markets have played an important role in the development of InternetSpeech’s products/services/technologies netECHO (Voice Internet that delivers complete Internet access via voice and any phone) and Semantic Engine using Brain-Like & Brain-Inspired Algorithms/Approaches, SEBLA.

Degree & Academic Institution:

  • PhD, Computer Science
    University of California, Santa Cruz

Courses Taught:

  • CS 483 - Fundamentals of Artificial Intelligence
  • CS 550 - Machine Learning and Business Intelligence

Publications:

  • Lifelong Machine Learning with Logic, Semantics and Natural Language Processing, International Conference on Artificial Intelligence (ICAI 2019), Aug 1, 2019.
  • Natural Language Computing: A Necessity for Cognitive Computing and Intelligent Internet, 17th International Conference on Artificial Intelligence, Knowledge Engineering and Databases (AIKED '17), Cambridge University, U.K., Feb 25, 2017.
  • Next Generation Web – Intelligent Search, Question Answering, Summarization and More, International Journal of Computers and Communications (NAUN & University Press), Vol. 9, Jun 1, 2015.
  • Natural Language Processing, Big Data, Bioinformatics and Biology, International Journal of Biology and Biomedical Engineering, Jun 1, 2014.
  • Processing Big Data with Natural Semantics and Natural Language Understanding Using Brain-Like Approach, International Journal of Computers and Communications, Jan 1, 2014.
  • Intelligent Agent Based Mapping of Software Requirement Specification to Design Model, International Journal of Software Engineering and Applications, Dec 1, 2013.
  • Intelligent Internet: Natural Language and Question & Answer Based Interaction, International Journal of Computers and Communications, Oct 15, 2013.1) 

Bio

Dr. Khan worked in both academia and industry for over 20 years.  He has taught various courses including AI, Gen AI,  Intelligent Agents, Machine Learning, Natural Language Processing, Algorithms, Human Computer Interactions, Software Engineering and Software Architecture.

Dr. Khan’s research areas include AI, GenAI, Natural Language Processing, Muti-Agent Systems, Machine Learning, Big Data, Intelligent Agent, Human-Computer Interaction, and their applications, especially, in the areas of Internet / Intelligent Internet and Biological Systems. Dr. Khan also focuses on multi-disciplinary education with an emphasis on innovation and entrepreneurship to help global development – economic, social, cultural, and more, with emphasis on increased peace & prosperity.

Khan holds 23 patents and has published over 75 journal & conference papers on the advent of Intelligent Internet, Content Rendering, Lifelong Machine Learning, AI, Natural Language Processing/Understanding/Generation, Big Data, Bioinformatics, Software Engineering, Neural Nets, fuzzy logic, Intelligent Systems, VLSI, and optics. Khan’s acute technical knowledge and keen understanding of emerging markets have played an important role in the development of InternetSpeech’s products/services/technologies netECHO (Voice Internet that delivers complete Internet access via voice and any phone) and Semantic Engine using Brain-Like & Brain-Inspired Algorithms/Approaches, SEBLA.

Degree & Academic Institution:

  • PhD, Computer Science
    University of California, Santa Cruz

Courses Taught:

  • CS 483 - Fundamentals of Artificial Intelligence
  • CS 550 - Machine Learning and Business Intelligence

Publications:

  • Lifelong Machine Learning with Logic, Semantics and Natural Language Processing, International Conference on Artificial Intelligence (ICAI 2019), Aug 1, 2019.
  • Natural Language Computing: A Necessity for Cognitive Computing and Intelligent Internet, 17th International Conference on Artificial Intelligence, Knowledge Engineering and Databases (AIKED '17), Cambridge University, U.K., Feb 25, 2017.
  • Next Generation Web – Intelligent Search, Question Answering, Summarization and More, International Journal of Computers and Communications (NAUN & University Press), Vol. 9, Jun 1, 2015.
  • Natural Language Processing, Big Data, Bioinformatics and Biology, International Journal of Biology and Biomedical Engineering, Jun 1, 2014.
  • Processing Big Data with Natural Semantics and Natural Language Understanding Using Brain-Like Approach, International Journal of Computers and Communications, Jan 1, 2014.
  • Intelligent Agent Based Mapping of Software Requirement Specification to Design Model, International Journal of Software Engineering and Applications, Dec 1, 2013.
  • Intelligent Internet: Natural Language and Question & Answer Based Interaction, International Journal of Computers and Communications, Oct 15, 2013.1)