Research on Service Systems with Bursty Arrivals
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
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The proposed research deals with problems related to the                        approximation, adaptation and optimization of probability models                involving the Markov-Modulated Poisson Process.  These problems will            be examined under several criteria, each of which calls for the                 identification and preservation of essential physical features of the           point process.  The results have applications in communications                 engineering.                                                                                                                                                    Marcel Neuts is world renowned in computational probability and is              very capable of carrying out the research along with his young capable          associate.  The team should produce leading developments for modeling           telecommunication systems.  The University of Arizona is an excellent           environment for research in stochastic modeling in engineering.
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{'Name': 'University of Arizona', 'CityName': 'TUCSON', 'ZipCode': '85721', 'PhoneNumber': '5206266000', 'StreetAddress': '845 N PARK AVE RM 538', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AZ07', 'ORG_UEI_NUM': 'ED44Y3W6P7B9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ARIZONA', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '145400', 'Text': 'SYSTEMS THEORY'}, {'Code': '146500', 'Text': 'PRODUCTION SYSTEMS'}, {'Code': '551400', 'Text': 'OPERATIONS RESEARCH'}]
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