Women in Computational Intelligence (eBook)

Key Advances and Perspectives on Emerging Topics

Alice E Smith (Herausgeber)

eBook Download: PDF

2022 | 1st ed. 2022
X, 445 Seiten
Springer International Publishing (Verlag)
978-3-030-79092-9 (ISBN)

Infos

This book provides a breadth of innovative and impactful research in the field computational intelligence led by women investigators. Topics include intelligent data analytics, optimization of complex systems, approximation of human reasoning, robotic path planning, and intelligent control systems. These topics touch on many of the technological challenges facing the world today and these solutions by women researcher teams are valuable for their excellence and their non-traditional perspective. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in computational intelligence, inspiring women and men, girls, and boys to enter and apply themselves to this exciting multi-disciplinary field.

ALICE E. SMITH is the Joe W. Forehand/Accenture Distinguished Professor of the Industrial and Systems Engineering Department at Auburn University, where she served as Department Chair from 1999-2011.  She also has a joint appointment with the Department of Computer Science and Software Engineering.  Previously, she was on the faculty of the Department of Industrial Engineering at the University of Pittsburgh from 1991-99, which she joined after industrial experience with Southwestern Bell Corporation.  Dr. Smith has degrees from Rice University, Saint Louis University, and Missouri University of Science and Technology.  Dr. Smith's research focus is analysis, modeling, and optimization of complex systems with emphasis on computation inspired by natural systems.  She holds one U.S. patent and several international patents and has authored more than 200 publications which have garnered over nearly 13,000 citations and an H Index of 47 (Google Scholar) and nearly 5,000 citations and an H Index of 29 (Web of Science).  Dr. Smith is the Editor in Chief of INFORMS Journal on Computing and an Area Editor of Computers & Operations Research.  Dr. Smith has been a principal investigator on over $10 million of sponsored research with funding by NASA, U.S. Department of Defense, Missile Defense Agency, National Security Agency, NIST, U.S. Department of Transportation, Lockheed Martin, Adtranz (now Bombardier Transportation), the Ben Franklin Technology Center of Western Pennsylvania, and U.S. National Science Foundation, from which she has been awarded 18 distinct grants including a CAREER grant in 1995 and an ADVANCE Leadership grant in 2001.  In 2017, she received the inaugural Auburn University 100 Women Strong Leadership in Diversity Faculty Award.  Dr. Smith was awarded the Wellington Award in 2016, the IIE Albert G. Holzman Distinguished Educator Award in 2012, and the INFORMS WORMS Award for the Advancement of Women in OR/MS in 2009.  Dr. Smith is a fellow of the Institute of Industrial and Systems Engineers (IISE), a fellow of the Institute of Electrical and Electronics Engineers (IEEE), a senior member of the Society of Women Engineers, a member of Tau Beta Pi and the Institute for Operations Research and Management Science (INFORMS), and a Registered Professional Engineer in Alabama and Pennsylvania.  She served as associate editor for two IEEE journals and is currently an IEEE Computational Intelligence Society Distinguished Lecturer and an INFORMS Official Speaker.  She was named a 2020 Yellowhammer Women of Impact (20 women are honored each year in the State of Alabama https://alabamawomen.org/#2020 ) and was named an INFORMS Diversity, Equity, and Inclusion Ambassador in 2021.

 

Produkt-Details

• Erscheint lt. Verlag: 13.4.2022
• Reihe/Serie: Women in Engineering and Science
• Reihe/Serie: Women in Engineering and Science
• Zusatzinfo: X, 445 p. 171 illus., 129 illus. in color.
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Geschichte
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: Artificial Intelligence and Machine Learning • Computational Intelligence • evolutionary computation • Fuzzy logic and fuzzy systems • Neural networks • Women in science and engineering • Women in STEM • Women in Technology
• ISBN-10: 3-030-79092-4 / 3030790924
• ISBN-13: 978-3-030-79092-9 / 9783030790929