Tony Teate image


Professor, IA, ISAT
Contact Info

  • Ph.D. Electrical Engineering and Theoretical Physics, University of South Florida
  • M.S. Physics, University of Michigan
  • B.S. Physics, Morehouse College
  • Professor, Department of Integrated Science and Technology, James Madison University, Harrisonburg, VA
  • Director, Data Science and Applied Machine Learning Laboratory, James Madison University
  • Faculty Advisor, IEEE Computer Society
  • Associate Member of Technical Staff, AT&T Bell Laboratories (Phonon Physics)
  • Founder, President & CEO, Neosentials, Inc. – Harrisonburg, VA
Scholarly Interests/Research Topics

Professor Teate is currently a tenured Full Professor in the School of Integrated Sciences at James Madison University, where he is also the Director of the Data Science and Applied Machine Learning Laboratory.

His current areas of research include development and applications of Deep Neural Network Machine Learning models for the design of nano-scale materials for optical, electrical and quantum transport properties; machine learning and edge devices; small scale autonomous vehicles; image recognition; embedded devices and IoT using multi-layer perceptron models. In his research and pedagogy, he uses two production-ready Python frameworks: Anaconda’s Data Science Platform and Google’s TensorFlow Machine Learning Platform. He also uses AWS and Google for cloud computing.

His research also includes theoretical and computational modeling and simulation of nano-scale systems using Hartree-Fock and Tight Binding approaches (materials for solar hydrogen production, graphene, quantum dot lasers and other optoelectronic devices); optical and electrical properties of amorphous semiconductors; photovoltaic technologies; stochastic processes; data-driven web-based applications; mobile application development; databases, data mining and data science.

Dr. Teate teaches calculus-based physics, machine learning, computer programming, information and knowledge management, database and data science courses. He also founded and owns Neosentials, Inc., a successful software business, and has a vested interest in impacting the local community with technology-based business spin offs.

  • 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
  • Gravitational Physics
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 Machine Learning and Data Science (Anaconda Python)
  • ISAT 410 Sustainable Energy Development 
  • ISAT 449 Emerging Topics in Applied Data Science (Deep Learning, TensorFlow, Computer Vision) 
  • 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)
  • 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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