Christopher J. P.

Credited with revitalizing demand, offering, and execution of specialized, niche mathematics courses for advanced undergraduate majors in engineering, physics, mathematics, and statistics, and required prerequisite courses for entry into graduate curriculums in systems engineering, operations research, and electrical engineering at leading state universities. Since 2008, sole professor across all Virginia Community College System (VCCS) campuses lecturing Partial Differential Equations (MTH-292) and Probability & Statistics I/II (MTH-243/244). These courses not previously offered for classroom enrollment in over 10 years across the VCCS due to low demand. Teach courses in Calculus I-III, Ordinary & Partial Differential Equations, Probability Theory, Statistics, Trigonometry, Precalculus & Finite Mathematics.

Highest successful BD win (lead capture manager) $4M FFP contract with 27 month PoP.

Lead bid, capture, and execution of company SBIR/STTR programs with a goal of commercialization, as well as capture vetting, qualification and management. Responsible for Portfolio P&L, Delivery, primary customer interface, growth of Client accounts which include USAF LCMC CDAD, AFWERX, Lockheed Martin Rotary & Mission Systems, DoN NAVSEA PEO IWS, DoN Digital Integration Support Cell (DISC), and DoN Digital Warfare Office (DWO). In prior 12 months, successfully shaped requirements & led capture of $3.79M of new SBIR contracts, including pitching/winning at SBIR 20.3 AFWERX Digital Engineering Pitch Day (D2P2) and Navy SBIR Phase II, Phase I awards. Highest successful BD win (lead capture manager) $1.5M FFP contract with 24 month PoP.

Manage 50+ FTE team of OSD/R&E contractors providing onsite and offsite contractor support for the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Program Development and Management Support Task Order. Originate deliverables to include briefings to SES Director, monthly COR Program briefings, responses to Congressional inquiries, SASC/HASC briefings, SBIR/STTR program reports, and various management, operations, contractual, budgetary, and manage Team Leads and products in PWS areas of SBIR/STTR Program Administration, SBIR/STTR Solicitations, OSD/R&E SBIR/STTR Website (proposal submission portal) and Database Administration, SBIR/STTR Measures & Reports, SBIR/STTR Program Outreach, SBIR/STTR Commercialization and Commercialization Training Support to eligible small business firms. Management responsibilities include labor and resource planning, customer and team alignment, staff management, personnel performance appraisals, team building/restructuring, strategic planning, high level functional deliverables, and business development. Highest successful BD win (lead capture manager) $12.2M FFP contract with 24 month PoP.

Adjunct faculty teaching courses in Quantitative Reasoning, Discrete Mathematics, Calculus I-III, Ordinary Differential Equations and Partial Differential Equations with Boundary Value Problems.

Key participant in formation of and command lead action officer for U.S. Army Equipment Distribution Review Board (EDRB), an Army senior leadership board with mission goals to facilitate, expedite, & resolve issues related to Foreign Military Sales cases & to provide a common synchronized view across ARSTAFF, CENTCOM, ARCENT, other ACOMs, other COCOMs, to prioritize and resolve stakeholder or regulatory points of friction dealing with the disposition of equipment in Iraq. Duties include participating in Secretariat/O-6 level AOWGs, organizational strategic planning, capturing actions ordered by U.S. Army VCSA and CG, Army Materiel Command (AMC) during tri-weekly EDRB meetings, distributing orders to AMC offices & subordinate commands, monitoring action status, helping resolve roadblocks in action item execution, liaison/work in tandem with Army G-4 staff, VCSA staff officers, interpreting policy and procedures, establishing priorities, risk mitigation, and ensuring quality of work/actions are in compliance with established schedules & milestones related to EDRB planning efforts. Responsible for U.S. AMC command-wide EDRB activity oversight & operation of high visibility topics/programs which have considerable impact on Army operations, logistical processes, and the manner and ability in which the Army provides goods and services to the warfighter. Coordinate/review EDRB specific initiatives to achieve consensus approach in efforts of strategic significance to the Army HQ and across all domains and stakeholders. The EDRB is Co-Chaired by the Vice Chief of Staff of the Army (VCSA) and CG, AMC. Subsequent purpose of the EDRB is to leverage identified disposition of equipment to inform intra-theater logistical planning, reset, and recapitalization of equipment synchronized to ARFORGEN. The EDRB adjudicates materiel capabilities, unresolved or disputed equipment issues, as well as equipment distribution requirements, priorities, and transfer and distribution plans.

Teach Courses in Finite Mathematics.

Senior Scientific Analyst providing on-site technical, operations, policy, & budget support to the Deputy Assistant Secretary of the Air Force (Acquisitions) for Science, Technology, & Engineering (SAR/AQR) and Program Element Monitors (PEMs). Primary responsibilities include providing key representation for Air Force Research Laboratory (AFRL) Sensors and Munitions Technical Directorates (TDs). Functions as liaison for Directors, AFRL Munitions and Sensors Directorates, managing combined USAF AFRL Science & Technology (S&T) portfolios in excess of $300M. Provide management support, including assistance with planning, programming, budgeting, execution (PPBE), advocating & monitoring USAF advanced sensors and munitions acquisition programs. Function as co-lead for Joint Service and Agency Rotorcraft Brownout conference with over 100+ Gov’t Staff participants in attendance to include two Lieutenant General Officers, a Vice Admiral, (Acting) Director, DARPA, Chief Engineers of the USAF, USN, and USA, Service Laboratory Directors, Pilot Operators of targeted platforms for technology integration, Acquisition Staff, Requirements Staff, and Service Laboratory S&T Program Managers. Track and report program budgets, document and justify program plans, author Congressional Descriptive Summaries, monitor and report on Congressional and SAF/AQR interest items. Respond to Presidential and Congressional inquiries from SASC and HASC; prepares oral and written presentations addressing acquisition issues and topics of interest to SASC and HASC Staffers. Annually brief SASC and HASC Staffers on AFRL Sensors and Munitions S&T portfolio including key programs of high profile/visibility. Air Staff S&T Subject Matter Expert on key Sensor and Munitions technology programs/technology focus. Author technical reviews/provide AQR S&T inputs for two annual Congressional reports. Briefs and/or prepares briefs to OSD and other government agencies for AFRL Sensors and Munitions S&T Portfolio.

Primary responsibilities include management & execution of two MDA Advanced Technology (DV) University Programs: the Missile Defense Science, Technology, And Research (MSTAR) Program & the Congressionally directed Historically Black Colleges and Universities & Minority Institutions (HBCU/MI) Program, totaling $5M in annual acquisition value; includes finalizing release of BAAs, leading Government Source Selection Evaluation Team (SSET), conducting evaluations, program recommendations and consolidating evaluation ranking from team, briefing MDA/DV SES on SSET recommendations; Serve as primary technical POC for both University Programs, work with Director, MDA/CTV Contracting Office in University Program award process. Conduct full range of operations research analysis activities necessary to advise the MDA/DV Deputy and senior staff in support of MDA/DV acquisition program and resource decisions. Assist in all matters related to DV Innovation & Analysis (I&A) Team members and contractual interface including Innovation Team Operations, Program Management support, Operations & Resource Management, staff allocation, technical monitoring and oversight of DOD technology research programs totaling over $6M, contract execution & award, authoring SOWs, D&F Forms, MIPRs, PPBE, R2s, monitor Contractor compliance with CDRLs and other deliverables, identifying tasking for I&A SPARTANs; SPARTA liaison to Advanced Technology Innovative Cell (ATIC) peer reviewers, monitor progress of action items, participate in/provide technical support for the MDA/DV Decision Meetings for Deputy/DV (SES-5), DV I&A Gov't Lead, and other MDA Senior Management and Scientist, and provide advice, functional and technical guidance to new SPARTAN I&A Team junior technical staff members. Provide direct management support, technical management, and serve as government (MDA/DV) representative for a research project funded through MDA/DV I&A: joint MIT/LL & LANL THz millimeter wave project.

Mr. Paldino served as Principal Systems Analyst in the Advanced Discrimination Branch of the Sensors System Division, supporting the MDA Advanced Technology (DV) Project Hercules Decision Architecture (DA) program. He worked in conjunction with other senior scientist and team leaders as well as collaborating and interacting with contractors and sub-contractors within the DA program including leading U.S. research laboratories (MIT/LL) and universities in the development of a Discrimination Fusion Engine (DFE) to be implemented in the Decision Architecture System Model framework. Mr. Paldino used Netica, BNET (Bayesian Network Evaluation Tool), & Matlab to implement the Phase II (post-boost phase) DFE. Mr. Paldino contributed significantly to the post-boost phase missile defense DFE, which integrates evidence-based feature extraction algorithms (RADAR & IR) with object genealogical relationships (temporal) within the engagement timeline into the DA by utilizing advanced decision theory and discrete mathematics (fuzzy logic gates). The full DFE is the inference and evidence fusion solution to the DA command, control and battle management (C2BMC) problem. Developing the post-boost phase DFE entailed constructing Bayesian Network models of threat characteristics, physical features, measurements, measurement errors, environmental effects, sensors as well as modeling and constructing feasible genealogical information, implemented in a BN using discrete mathematics, which assists in reducing the magnitude of the problem space in the post-boost phase timeline of the DFE. Mr. Paldino also provides MDA/DV client technical expertise, advice, and evaluation of MDA/DV relevant technology for C2BMC and sensor fusion related tasks. Mr. Paldino has served as panelist for an Optimization Conference held by the client and has reviewed different technologies both in and outside of the MDA/DV DA program.

Supported classified survivability, testing & evaluation programs for the Defense Advanced Research Projects Agency (DARPA) & Naval Surface Warfare Center-Carderock Division (NSWC-CD). Reconnaissance Surveillance Targeting Vehicle Survivability Analysis. Technical lead - statistical analysis/robustness testing of sampled data obtained from field perception tests of competing detection avoidance survivability technologies. Apply Non-Parametric Statistical Analysis techniques (Kruskal-Wallis DOR test) for field survivability rank-ordering/evaluation of Camouflage, Concealment & Deception (CCD) performance. Report results of analysis with recommendations to Program Manager. Supported multiple classified modeling tasks for Army Research Laboratory (ARL). Responsibilities: conduct original research in target feature detection and background clutter characterization and extraction using wavelet transform techniques, mathematical modeling of Human Perception processes (exploring human perception variables relevant to detection). Develop new techniques & metrics to provide understanding of features and textures of target and background necessary for target characterization for particular sensor in a particular spectrum. Investigate ways to quantify background clutter as it relates to target detection and identification by man-in-the-loop threat sensors. Modeling applications include Probability of Detection (Pd) prediction models, utilizing Principal Component Analysis (PCA), utilizing classical Target Transform Probability Function (TTPF), Johnson’s criteria, scale sensitivity analysis, regression analysis. Apply Non-parametric Statistical Analysis techniques for model validation. Develop measures of effectiveness/performance metrics. Utilize signature prediction models. Utilize signature prediction models. Author white papers pertaining to continuation of current research and new technologies. Extensive use of Matlab software for implementation of above processes.

Research focused on Differential Equations, Control Theory, Stability of Systems, Complex Analysis, Abstract Algebra, Number Theory, and Optimal Control Allocation; Ph.D. written preliminary examinations completed in Ordinary Differential Equations and Complex Analysis.

Research focused on pure and applied Mathematics, Optimization and Probability Theory. Thesis "Optimization of the Constant of Proportionality in Newton's 2nd Law of Cooling"

Cum Laude

Summa Cum Laude

Summa Cum Laude