Resume

• 2019

  Shenandoah University

  Shenandoah University

• 2015

  Shepherdstown

  WV

  Associate Professor

  Shepherd University

• 2014

  Flexible Plan Investments

  LLC

  Flexible Plan Investments

  LLC

• 2011

  The objective of this joint work with Rensselaer Polytechnic Institute and the University of Illinois at Urbana-Champaign was to develop novel mathematical and computational techniques to support reasoning by analogy in artificial intelligence systems.

  John E. Hummel

  Selmer Bringsjord

  Wojtowicz

  Shepherd University

  PNC Bank

  Baker Mountain Research Corporation

  Shepherdstown

  WV

  Assistant Professor

  Shepherd University

  Yellow Spring

  WV

  The mission of the Baker Mountain Research Corporation has three complementary aspects: to advance scientific knowledge

  to develop science-based solutions to local and global challenges

  and to foster scientific education. A particular challenge we seek to address is the lack of scientific career and educational opportunities in our region. We work to build an interdisciplinary community that facilitates synthetic and analytic exploration

  mentorship

  sharing of experiences and which provides fair financial support.

  President

  Senior Scientist

  Baker Mountain Research Corporation

  PNC Bank

• 1994

  Ph.D.

  Mathematics

  University of Illinois at Urbana-Champaign

• 1989

  BS

  Aeronautical Engineering

  Master of Science - MS

  Aerospace

  Aeronautical and Astronautical Engineering

  University of Illinois at Urbana-Champaign

  Mining Massive Datasets

  Coursera

  Introduction to Data Science

  Coursera

  R Programming

  Coursera

  edX Honor Code Certificate for Electronic Interfaces

  edX

• 1984

  BS

  Engineering

• Statistics

  Operations Research

  R

  Pattern Recognition

  Teaching

  Computer Science

  Algorithms

  Haskell

  Research

  Data Mining

  Machine Learning

  Data Analysis

  Applied Mathematics

  Programming

  Technical Writing

  Mathematical Modeling

  Mathematica

  Analysis

  Simulations

  LaTeX

  Quantum Kan Extensions

  The objective of this joint work with Brooklyn College was to increase our understanding of the tasks that quantum computers will and will not be able perform more efficiently than classical computers. Our approach was to research quantum algorithms for computing mathematical constructions known as Kan extensions. The Hidden Subgroup Problem can be expressed as a Kan extension. Quantum algorithms for efficiently solving such problems

  therefore

  efficiently compute particular Kan extensions. However

  we showed that quantum computers can not provide superior methods for exact Kan extension calculations in general. The classical coequalizer algorithm is a special case of the Dominating Set Problem

  which is NP-complete. Improved quantum bounds for coequalizers and related problems are

  therefore

  of value

  Noson Yanofsky

  Big Data Analytics at Shepherd University

  Through a grant from the West Virginia Higher Education Policy Commission

  I established the Laboratory for Big Data Analytics at Shepherd University. For this laboratory I implemented a Hadoop cluster running on multiple linux blade servers and workstations. I have used the laboratory for computational experiments in several courses including operations research

  numerical analysis

  mathematical modeling and the calculus sequence. In 2012-2014

  students completed 21 senior capstone projects in in the laboratory.

  Arduino Explorers

  Arduino is an open-source electronics prototyping platform which includes inexpensive microcontroller hardware and free software development tools (www.arduino.cc). The platform makes it easy for students

  artists

  hobbyists and scientists to create interactive objects and environments. Through our Arduino Explorers initiative

  we will develop

  test and publish Arduino projects for K-12 and college students and engage students

  educators and parents through summer programming camps

  after-school activities

  competitions and courses. For most of these students

  we will provide their first computer programming experience. Projects involving inexpensive components including GPS

  weather gauges

  accelerometers

  cameras

  microphones and motors will introduce concepts from mathematics

  science and engineering. They will teach skills that spark ideas and empower students to design and create. The dynamic and interactive nature of our activities will encourage mentorship

  leadership and initiative. To minimize the financial barriers to learning

  we will show students how to invigorate previous-generation computing equipment using free operating systems and software. Through our initiative

  we will write books

  create web-based content and host meetings that foster meaningful improvements in STEM education. We will interact with academic and industry researchers to formulate programming projects that involve new technology developments. Through this interplay we will create science-based jobs in our region.

  Allan Meck