Bechtel Marine Propulsion Corporation
System Analyst
Utech Services Helpdesk Sep 2015 - Sep 2016
Helpdesk Associate
East Mckeesport Dept of Public Works May 2012 - Feb 2016
Laborer and Foreman
Chapkis Pressure Washing Aug 2012 - May 2015
It Consultant
Education:
California University of Pennsylvania 2015 - 2016
Master of Science, Masters, Applied Mathematics, Cybersecurity
California University of Pennsylvania 2010 - 2015
Bachelors, Bachelor of Science, Mathematics, Computer Science, Art
Skills:
Software Development Statistical Modeling Data Science Computer Science Mathematics Scientific Computing C++ Java Unix R C Mathematical Modeling Consulting Data Analysis Microsoft Office Microsoft Excel Powerpoint Customer Service Teamwork Leadership
Interests:
Economic Empowerment Civil Rights and Social Action Politics Environment Education Science and Technology Disaster and Humanitarian Relief Human Rights Health
University of Michigan
Associate Research Professor, Michigan Institute For Data Science
University of Michigan
Associate Professor of Public Policy
Carnegie Mellon University Jan 2007 - Aug 2014
Assistant Professor of Operations Research and Public Policy
University of Michigan Jan 2007 - Aug 2014
Research Assistant Professor
Massachusetts Institute of Technology (Mit) Jun 2012 - Jun 2013
Mlk Visiting Assistant Professor - Engineering Systems Division
Education:
Princeton University 2001 - 2007
Doctorates, Doctor of Philosophy, Financial Engineering, Philosophy
University of Cincinnati 1996 - 2001
Bachelors, Bachelor of Science, Electrical Engineering
Skills:
Research Management Statistics Higher Education Teaching University Teaching Operations Research Analytics Data Science Queueing Theory Bayesian Stat Shared Mobility Python Particle Filters Dynamic Optimization Trajectory Optimization
William Grey - Millwood NY, US Robert C. Hampshire - Pittsburgh PA, US Zhen Liu - Tarrytown NY, US Dailun H. Shi - Shanghai, CH
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06Q 10/00
US Classification:
705 725, 705 722
Abstract:
A method of and system for managing on-demand service offerings in a service delivery chain. The method comprises the steps of a service provider announcing upfront capacity pricing, an on-demand premium structure, and an on-demand exercise structure; a service distributor committing to upfront capacity and to units of on-demand options; and the service provider provisioning a number of resources to the collection of service distributors. Preferably, the upfront capacity pricing includes three components. A first component is a price structure for capacity or resources to be purchased for immediate use, a second component is an on-demand premium structure, and a third component is an on-demand usage fee structure.
Coupling Of A Business Component Model To An Information Technology Model
David Flaxer - Dobbs Ferry NY, US Paul Greenstein - Croton-on-Hudson NY, US Robert Hampshire - Princeton NJ, US Anil Nigam - Stamford CT, US Guy Rackham - New York NY, US John Vergo - Yorktown Heights NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06Q 99/00
US Classification:
705001000
Abstract:
A method for managing a business. At least one relationship is determined between N business components (B, B, . . . , B) and respective N costs (C, C, . . . , C) and respective N values (V, V, . . . , V) pertaining to the N business components. The N business components are a subset of M business components (B, B, . . . , B) of a Component Based Model (CBM) of the M business components subject to M≧2 and N≦M. Determining the at least one relationship includes relating business components of the CBM with an Information Technology (IT) model of an IT system. The IT model includes abstract IT structures, virtual IT structures, real IT structures, or combinations thereof.
Enterprise Portfolio Analysis Using Finite State Markov Decision Process
David Flaxer - Dobbs Ferry NY, US Paul Greenstein - Croton-on-Hudson NY, US Robert Hampshire - Lima OH, US Anil Nigam - Stamford CT, US John Vergo - Yorktown Heights NY, US
International Classification:
G06Q 40/00
US Classification:
705035000
Abstract:
This invention introduces a method, system and computer readable media that enables a computer system or computer networked system to perform enterprise portfolio transition optimization. The invention considers several key factors that are traditionally treated informally. The invention provides a sequential decision model for enterprise portfolio transition management of computer and software resources. Using a finite state Markov Decision process, a mathematical formulation is developed to ensure an optimal enterprise portfolio transition plan, with the objective of balancing expected value and risk, that is solved numerically via an approximate dynamic programming algorithm. The output of the model is a set of recommendations in the form of a transition plan for each of the computer and software resources selected within the enterprise portfolio during each phase of a planning horizon.
Option Framework For Managing On Demand Service Offerings
William Grey - Millwood NY, US Robert C. Hampshire - Pittsburgh PA, US Zhen Liu - Tarrytown NY, US Dailun H. Shi - Shanghai, CN
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 17/00 G06Q 10/00
US Classification:
705 10, 705 1, 705400
Abstract:
A method of and system for managing on-demand service offerings in a service delivery chain. The method comprises the steps of a service provider announcing upfront capacity pricing, an on-demand premium structure, and an on-demand exercise structure; a service distributor committing to upfront capacity and to units of on-demand options; and the service provider provisioning a number of resources to the collection of service distributors. Preferably, the upfront capacity pricing includes three components. A first component is a price structure for capacity or resources to be purchased for immediate use, a second component is an on-demand premium structure, and a third component is an on-demand usage fee structure.
Externally-Mounted Apparatus And Associated Systems For Controlling Vehicle Access
Robert C. HAMPSHIRE - Pittsburgh PA, US Jay SIZEMORE - Franklin TN, US Craig A. GAITES - Boston MA, US
Assignee:
GO-OP, LLC - Boston MA
International Classification:
G08B 29/00 G06Q 10/00
US Classification:
705 5, 340 554
Abstract:
A person-to-person vehicle reservation system for providing distributed access control for a plurality of owner-shared vehicles is disclosed. The system uses access codes managed by an electronic system and for electronically providing access to the plurality of vehicles via smart keys. The system comprises a vehicle database for storing a mapping of vehicles to vehicle access codes; a reservation database for storing a mapping of vehicles to availability information for the vehicles; a reservation request module for receiving reservation requests over a network and for assigning vehicle reservations; and an administrative user module for receiving availability information from administrative users having administrative access to at least one vehicle. The reservation request module is operable to securely transmit a vehicle access code to an electronically-programmable smart key, which provides access to a lockbox holding an ignition key of a vehicle assigned by the reservation request module.
Option Framework For Managing On-Demand Service Offerings
Robert Hampshire - Pittsburgh PA, US Zhen Liu - Tarrytwon NY, US Dailun Shi - Shanghai, CN
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06Q 10/06
US Classification:
705 728
Abstract:
A method of and system for managing on-demand service offerings in a service delivery chain. The method comprises the steps of a service provider announcing upfront capacity pricing, an on-demand premium structure, and an on-demand exercise structure; a service distributor committing to upfront capacity and to units of on-demand options; and the service provider provisioning a number of resources to the collection of service distributors. Preferably, the upfront capacity pricing includes three components. A first component is a price structure for capacity or resources to be purchased for immediate use, a second component is an on-demand premium structure, and a third component is an on-demand usage fee structure.