DR. REGINALD ORRIN WALKER, PHARMD.
Pharmacy at Florence Ave, Los Angeles, CA
License number
California 43539
Category
Pharmacy
Type
Pharmacist
Address
Address
2
1422 E Florence Ave, Los Angeles, CA 90001
11496 Bridgeway Dr, Riverside, CA 92505
11496 Bridgeway Dr, Riverside, CA 92505
Phone
(323) 582-6363
(323) 582-0955 (Fax)
(951) 688-1870
(323) 582-0955 (Fax)
(951) 688-1870
Personal information
See more information about REGINALD ORRIN WALKER at radaris.comName
Address
Phone
4627 Pomona Ave, La Mesa, CA 91942
515 Orange Grove Cir UNIT 225, Pasadena, CA 91105
348 W Juana Ave APT 49, San Leandro, CA 94577
8512 Bridgestone Crescent Rd, Roseville, CA 95747
8188 Drais Way, Elk Grove, CA 95624
Professional information
Computer Software
Location:
Greater Los Angeles Area
Industry:
Computer Software
Work:
Astronautics Corporation of America
- Milwaukee, Wisconsin Feb 2012 - Jun 2012
-
Verification & Validation Engineer Contractor
GE Transportation Systems (ITCS)
- Orlando, Florida Area Feb 2011 - Feb 2012
-
Embedded Software Engineer
H&C Scientific Resources International
- Longmont, CO Jul 2010 - Feb 2011
-
Sr. Research Engineer/Scientist Contractor
ARINC, Marina del Rey, CA
Jul 2008 - Jul 2010
-
Software Engineer Contractor
Raytheon Corporation, Los Angeles, CA
Aug 1994 - Sep 2007
-
Sr. Software Engineer I, Raytheon System Division
Education:
University of California, Los Angeles 1999 - 2003
PhD, Computer Science Purdue University 1991 - 1994
MS, Computer Sciences Clark Atlanta University 1984 - 1986
MS, Applied Mathematics
PhD, Computer Science Purdue University 1991 - 1994
MS, Computer Sciences Clark Atlanta University 1984 - 1986
MS, Applied Mathematics
Stochastic Optimization Techniques Of Evolutionary Computation Search Strategies For An Information Sharing System
US Patent:
2011019, Aug 4, 2011
Filed:
Jan 14, 2010
Appl. No.:
12/657243
Inventors:
Reginald L. Walker - Los Angeles CA, US
Assignee:
Tapicu, Inc. - Los Angeles CA
International Classification:
G06F 17/30
US Classification:
707713, 707E17131
Abstract:
An information sharing system to solve one or more information retrieval problems is concerned with the novel, hybrid use of the stochastic optimization techniques of evolutionary computation (EC) search strategies for computer information systems such as search engines, or service oriented architectures (SOAs). The information sharing system uses stochastic optimization agents for task distribution and communication when foraging a system of stored documents for information, assessing the computational effort required to retrieve information in the form of stored documents, sharing information among stochastic optimization agent processes and processors, and extracting knowledge from the information. The field of evolutionary computation encompasses stochastic optimization techniques, such as randomized search strategies, in the form of evolutionary strategies (ES), evolutionary programming (EP), genetic algorithms (GA), classifier systems, evolvable hardware (EHW), and genetic programming (GP). The information sharing system is an attempt to harness information processing models by adapting to information system fluctuations that occur within a computer, a local area network, and a wide area network that encompasses the whole Internet.
Distributed Multimedia Document Indexing Strategies
US Patent:
2012001, Jan 19, 2012
Filed:
Jul 19, 2011
Appl. No.:
13/135943
Inventors:
Reginald L. Walker - Los Angeles CA, US
Assignee:
Tapicu, Inc. - Los Angeles CA
International Classification:
G06F 15/18
US Classification:
706 12
Abstract:
A method for a system that indexes/ranks/clusters multimedia documents using hybrids of information retrieval algorithms and the stochastic optimization techniques of evolutionary computation (EC) that optimizes parameter sets comprising of object parameters. The method creates a plurality of individual parameter sets, the parameter sets comprising information sharing system object parameters for describing a model, structure, shape, design, process, search query set, or dynamic search space to be optimized and setting the initial population as a current (static parent) population. These parameters are required to filter, organize, and index any large-scale data set—information stored on a single computer, a local area network (LAN), and a wide area network (WAN) that encompasses the whole Internet—that may consists of constantly fluctuating information content over relatively short periods of time
Stochastic Search Strategies For Multimedia Resource Discovery And Retrieval System
US Patent:
2012001, Jan 19, 2012
Filed:
Jul 19, 2011
Appl. No.:
13/135962
Inventors:
Reginald L. Walker - Los Angeles CA, US
Assignee:
Tapicu, Inc. - Los Angeles CA
International Classification:
G06F 15/18
US Classification:
706 12
Abstract:
A method is described for applying distributed stochastic optimization techniques of evolutionary computation using a plurality of servers and a plurality of clients machines being connected via a computer network such as the Internet. The stochastic optimization techniques of evolutionary computation seek to optimize a populations of individuals against one or more predetermined fitness criteria when applied to solving solve the network routing problem coupled with one or more information retrieval problems. The field of evolutionary computation encompasses stochastic optimization techniques, such as randomized search strategies, in the form of evolutionary strategies (ES), evolutionary programming (EP), genetic algorithms (GA), classifier systems, evolvable hardware (EHW), and genetic programming (GP). The stochastic optimization component objectives of the multimedia resource discovery and retrieval systems includes maximization of resource utilization and of overall LAN throughput.