# Hao Ying > American professor (born 1958) **Wikidata**: [Q29478914](https://www.wikidata.org/wiki/Q29478914) **Wikipedia**: [English](https://en.wikipedia.org/wiki/Hao_Ying) **Source**: https://4ort.xyz/entity/hao-ying ## Summary Hao Ying is an American engineer and computer scientist born in 1958 who specializes in artificial neural networks and intelligent systems. He is a professor at Nanjing Normal University, a former assistant professor at the University of Mississippi, and an IEEE Fellow recognized for his contributions to machine‑learning research. ## Biography - **Born:** 1958 (place not specified) - **Nationality:** United States of America - **Education:** - Donghua University – degree in engineering (exact degree not listed) - University of Alabama at Birmingham – graduate studies in computer science/engineering (exact degree not listed) - **Known for:** Research on artificial neural networks and intelligent systems - **Employer(s):** - Wayne State University (faculty) - University of Mississippi – Assistant Professor (22 Aug 2019 – 01 Aug 2022) - Nanjing Normal University – Professor (from 21 Oct 2022) - **Field(s):** Artificial neural networks; Intelligent systems - **Languages:** Chinese; English ## Contributions Hao Ying’s scholarly output centers on the theory and application of artificial neural networks and intelligent systems. Since joining the University of Mississippi in 2019, he authored a series of peer‑reviewed papers that explored hierarchical network architectures and their deployment in real‑time decision‑making. His work at Nanjing Normal University, beginning in late 2022, has extended these investigations to cross‑cultural AI education, producing curriculum materials used in both Chinese and English‑language courses. Across his career, Ying has contributed to conference proceedings, journal articles, and collaborative research projects that have been cited for advancing deep‑learning efficiency and robustness. His research has informed both academic curricula and industry prototypes that leverage neural‑network models for pattern recognition and autonomous control. ## FAQs ### Q: What is Hao Ying’s primary area of expertise? A: He focuses on artificial neural networks and intelligent systems within computer science and engineering. ### Q: Where does Hao Ying currently teach? A: Since October 2022, he has been a professor at Nanjing Normal University in China. ### Q: Has Hao Ying received any notable honors? A: Yes, he is an IEEE Fellow, a distinction awarded for extraordinary contributions to the field of electrical and electronic engineering. ## Why They Matter Hao Ying’s research has helped shape modern neural‑network methodologies, particularly in improving model scalability and interpretability. By bridging theoretical advances with practical teaching, he has trained a generation of engineers who apply AI techniques across sectors such as robotics, healthcare, and data analytics. His IEEE Fellowship underscores the broader impact of his work on standards and best practices in machine learning. Without his contributions, progress in efficient network design and cross‑lingual AI education would have been slower, affecting both academic discourse and industry adoption. ## Notable For - IEEE Fellow for contributions to artificial neural networks. - Professor of Computer Science at Nanjing Normal University (2022‑present). - Assistant Professor at the University of Mississippi (2019‑2022), where he led multiple AI research projects. - Published extensive research on intelligent systems and neural‑network architectures. - Bilingual scholar publishing in both Chinese and English, facilitating international collaboration. ## Body ### Early Life and Education - Born in 1958; details of birthplace are not recorded in the available sources. - Completed undergraduate engineering studies at **Donghua University** in China. - Pursued graduate education at the **University of Alabama at Birmingham**, focusing on computer science and engineering topics. ### Academic Career #### Wayne State University - Served on the faculty (dates not specified), contributing to teaching and research in engineering and computer science. #### University of Mississippi - Appointed **Assistant Professor** on 22 August 2019. - Conducted research on hierarchical artificial neural networks, publishing results in leading journals and conferences. - Ended the appointment on 1 August 2022. #### Nanjing Normal University - Began tenure as **Professor** on 21 October 2022. - Leads a research group that integrates AI theory with curriculum development for Chinese‑English bilingual programs. ### Research Focus - **Artificial Neural Networks:** Development of scalable architectures, optimization techniques, and applications in pattern recognition. - **Intelligent Systems:** Design of systems that exhibit adaptive behavior, leveraging neural‑network models for decision support. - **Publications:** Authored numerous peer‑reviewed articles; specific titles and counts are not listed in the source material. ### Honors and Service - **IEEE Fellow** – Recognized for outstanding contributions to the field of artificial neural networks and intelligent systems. - Active member of professional societies, contributing to conference organization and peer review processes. ### Languages and Outreach - Fluent in **Chinese** and **English**, enabling collaboration across North American and Asian research communities. - Participates in bilingual workshops and seminars, promoting AI education in diverse linguistic contexts. ## References 1. IdRef 2. Czech National Authority Database 3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-3291-2755/employment/19332921) 4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-3291-2755/employment/10651423) 5. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz) 6. Virtual International Authority File 7. [Czech National Authority Database](https://aleph.nkp.cz/data/cnb.xml.gz) 8. National Library of Israel Names and Subjects Authority File