Professor, IA, ISAT; Faculty Advisor, IEE Computer Society

teateaa@jmu.edu

Contact Info

Education
  • Ph.D. Electrical Engineering and Theoretical Physics, University of South Florida
  • M.S. Physics, University of Michigan
  • B.S. Physics, Morehouse College
Experience
  • Professor, Department of Integrated Science and Technology, James Madison University, Harrisonburg, VA
  • Director, Data Science and Applied Machine Learning Laboratory, James Madison University
  • Associate Member of Technical Staff, AT&T Bell Laboratories (Phonon Physics)
  • Founder, President & CEO, Neosentials, Inc. – Harrisonburg, VA
Scholarly Interests/Research Topics
  • Modeling and Simulation of Nano-Scale 2-D and 3-D Systems (Tight-Binding Models; Optical, Electrical and Transport Properties)
  • Applied Machine Learning (Multi-Level Perceptron, Artificial Neural Networks, Deep Learning, IoT and Embedded Devices)
  • Software Development (Anaconda Data Science Platform, Scikit-Learn, TensorFlow, Python, C, C++, Android Programming)
  • Stochastic Processes; Non-Linear Dynamics; Spontaneous Symmetry Breaking
  • Data Science (Applied Machine Learning; Machine Leaning and  Design of Nano-Scale Semiconducting Materials)
  • Photovoltaics; Quantum Dot Physics;
  • Quantum Computing
Courses Taught

Undergraduate Courses

  • ISAT 152 Topics in Applied Physics
  • ISAT 252 Programming and Problem Solving (Python, Programming Robots, Raspberry Pi)
  • ISAT 253 Instrumentation and Measurement (using LabView)
  • ISAT 301 Instrumentation & Measurement in Energy
  • ISAT 340 Software Application Development (Databases, SQL, Web Apps, Flask, HTML) 
  • ISAT 341 Modeling and Simulation (Monte-Carlo Simulations, computational science, etc.)
  • ISAT 410 Sustainable Energy Development 
  • ISAT 480 Data Science and Machine Learning with Python
  • ISAT 480 Intro to Deep Learning and Artificial Neural Networks 
  • ISAT 480 Topics in ISAT (Mobile App Development, Web Services, SOA and BI)
  • IA 241 Python Programming and Data Science (Anaconda Python, Jupyter Notebook, etc.)
  • IA 340 Data Mining and Knowledge Discovery in Databases

Graduate Courses

  • ISAT 511 Quantitative Methods for Systems Analysis
  • ISAT 640 Information and Technology Management (MS SQl Server),
  • ISAT 680 Reading and Research (Data Mining with SAS)
Associations
  • Institute of Electrical and Electronics Engineers
  • Institute of Electrical and Electronics Engineers Computer Society
  • American Association of Physics Teachers
  • Charlottesville Data Science Meetup Group
  • ArXiv in Physics
  • IBM Academic Alliance

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