Bernard P. Zeigler is affiliated with the University of Arizona in the United States. Their research primarily spans the fields of Decision Sciences and Computer Science, with focused subfields in Management Science and Operations Research, Computer Networks and Communications, Management Information Systems, Information Systems and Management, and Artificial Intelligence.
Their scholarly output concentrates on topics such as Simulation Techniques and Applications, Business Process Modeling and Analysis, Scientific Computing and Data Management, Systems Engineering Methodologies and Applications, Complex Systems and Decision Making, IoT and Edge/Fog Computing, and Distributed and Parallel Computing Systems.
Zeigler's recent publications include the following papers:
Frequent co-authors with whom Zeigler has collaborated include Laurent Capocchi, Abdurrahman Alshareef, Tuncer Ören, Jean-François Santucci, and Paul Wach.
Publications by Zeigler are commonly found in venues such as Preprints.org, Information, International Journal of Simulation and Process Modelling, Systems, and the Winter Simulation Conference (WSC) proceedings.
In recognition of their contributions to the theory of discrete event systems modeling and simulation, Zeigler was named an IEEE Fellow in 1994.
Bernard P. Zeigler;Alexandre Muzy;Ernesto Kofman
Bernard P. Zeigler;Tag Gon Kim;Herbert Praehofer
Bernard P. Zeigler;Herbert Praehofer;Tag Gon Kim
K. D. Tocher;B. P. Zeigler
Bernard P. Zeigler
Bernard P. Zeigler;Tuncer I. Oren
Bernard P. Zeigler
Bernard P. Zeigler
Tuncer I. Ören;Bernard P. Zeigler
Alex Chung Hen Chow;Bernard P. Zeigler
B.P. Zeigler
Paul A. Fishwick;Bernard P. Zeigler
A.I. Concepcion;B.P. Zeigler
Bernard P. Zeigler;Phillip E. Hammonds
Bernard Zeigler;Hessam S. Sarjoughian;Raphal Duboz;Jean-Christophe Soulie
Hessam S. Sarjoughian;Bernard P. Zeigler
Bernard P. Zeigler;J. S. Lee
B.P. Zeigler;Yoonkeon Moon;Doohwan Kim;G. Ball
Xiaolin Hu;Bernard P. Zeigler;Saurabh Mittal
H.S. Sarjoughian;B.P. Zeigler;S.B. Hall
If you think any of the details on this page are incorrect, let us know.
Exploring complementary fields can open new opportunities for students pursuing Computer Science in the USA. Many engineering and science disciplines now offer robust online programs, making it easier to specialize or pivot careers. For instance, an environmental engineer degree online can be a strong fit if you're interested in applying computing to environmental solutions.
Cost considerations are often crucial when planning your education. Comparing the mechanical engineering cost of education to similar programs may help you identify affordable, high-quality options that align with your interests.
For students passionate about science and tech, pursuing an online physics bachelor's degree can provide a solid foundation for roles in research, data analysis, or advanced computing.
Finally, the tech sector is eager for data professionals. Consider following a guided data science learning path to gain the analytical and programming skills employers seek, further expanding your career pathways after studying Computer Science.
Chinese Academy of Sciences
Tokyo Institute of Technology
University of Göttingen
Sorbonne University
University of Alabama at Birmingham
National Institutes of Health
Showa University
Kyoto University
Columbia University
Cornell University
Stanford University
Universidade de São Paulo
University of Georgia
The Ohio State University
University of Regensburg
Imperial College London