Sang Suh is a Regents Professor of Texas A&M University System and a Professor of Computer Science at Texas A&M University - Commerce. His primary research interests are in the areas of artificial general intelligence, human computer interaction, data mining, knowledge and data engineering, machine reasoning, and computing education. He has over 30 years of research experience and published 6 books and more than 150 research papers in the aforementioned areas.

• AI for Social Good Education through a Culturally Responsive Pedagogy.- A Communication Dynamics Representation of Electron Energy of S-orbitals in Hydrogen-like Atoms. Creativity and AI.- Demystifying Computer Science: A Sentence Transformers & Neural Networks-Powered Chatbot.- A Revolutionary Artificial Intelligence Framework for a Business Value-Centric Living Laboratory.- The Power of Smart Design: How Intelligence Shapes Custom Digital Products.- Compound Noun Phrase Similarity in Bidirectional Transformer Language Models.- A Reinforcement Learning Framework for Transferable Neural Architecture Optimization.- Learning Shortcuts: On the Misleading Promise of NLU in Language Models.- The Philosophy of Intelligenticism and Its Implications on Potential Future Directions for IS Research and Practice.- Introducing Feature Selection before Propositionalization.

Sang Suh is a Regents Professor of Texas A&M University System and a Professor of Computer Science at Texas A&M University - Commerce. His primary research interests are in the areas of artificial general intelligence, human computer interaction, data mining, knowledge and data engineering, machine reasoning, and computing education. He has over 30 years of research experience and published 6 books and more than 150 research papers in the aforementioned areas.

• AI for Social Good Education through a Culturally Responsive Pedagogy.- A Communication Dynamics Representation of Electron Energy of S-orbitals in Hydrogen-like Atoms. Creativity and AI.- Demystifying Computer Science: A Sentence Transformers & Neural Networks-Powered Chatbot.- A Revolutionary Artificial Intelligence Framework for a Business Value-Centric Living Laboratory.- The Power of Smart Design: How Intelligence Shapes Custom Digital Products.- Compound Noun Phrase Similarity in Bidirectional Transformer Language Models.- A Reinforcement Learning Framework for Transferable Neural Architecture Optimization.- Learning Shortcuts: On the Misleading Promise of NLU in Language Models.- The Philosophy of Intelligenticism and Its Implications on Potential Future Directions for IS Research and Practice.- Introducing Feature Selection before Propositionalization.

Sang Suh is a Regents Professor of Texas A&M University System and a Professor of Computer Science at Texas A&M University - Commerce. His primary research interests are in the areas of artificial general intelligence, human computer interaction, data mining, knowledge and data engineering, machine reasoning, and computing education. He has over 30 years of research experience and published 6 books and more than 150 research papers in the aforementioned areas.

• AI for Social Good Education through a Culturally Responsive Pedagogy.- A Communication Dynamics Representation of Electron Energy of S-orbitals in Hydrogen-like Atoms. Creativity and AI.- Demystifying Computer Science: A Sentence Transformers & Neural Networks-Powered Chatbot.- A Revolutionary Artificial Intelligence Framework for a Business Value-Centric Living Laboratory.- The Power of Smart Design: How Intelligence Shapes Custom Digital Products.- Compound Noun Phrase Similarity in Bidirectional Transformer Language Models.- A Reinforcement Learning Framework for Transferable Neural Architecture Optimization.- Learning Shortcuts: On the Misleading Promise of NLU in Language Models.- The Philosophy of Intelligenticism and Its Implications on Potential Future Directions for IS Research and Practice.- Introducing Feature Selection before Propositionalization.