Integrated Development Plan for Saudi Arabia

Key points:

Economy

  • Growth and diversification of the non-petroleum economy. 
  • Make in Saudi Arabia, Saudis building new Saudi Arabia: Saudi products to be welcomed by Muslim countries.
    • Automotive Industry
  • Liberalization, Privatization of selected Industries. Growth of venture capital industry. Public Investment Fund. Public Private partnership. Entrepreneurship Development in selected Industries.
  • Smart City program.

Politics and Government

  • Code of conduct for every sphere of life.
  • Semi-democracy in several provinces (Constitution, Election commission). Elected members in Shura council.
  • Increase in Saudi Arabia’s population. New immigration laws.

Saudi Arabia’s national heritage

  • Solidifying religion and spiritual powers. Increasing peace and satisfaction of Saudi population.
  • Increasing beauty of Saudi people.
  • Petrochemical Industry.
  • Focus on Saudi football team: Improvement in training. Introduction of visualization, yoga, stamina (yoga), nutrition, exercise (computational techniques), strategy.

Education; Scientific and Engineering research

  • Focus on and Funding for Bioengineering and Biomedical research.
  • Mixing of Applied Mathematics and Big Data. Transition from Big Data to Applied Mathematics.
  • Emphasis on adult education.

Social

  • Social liberalization (at least in selected provinces). Sociological research to Data (and reasoning) to Decision.

Tahsin’s CSE Research Areas V: Parallel and Distributed Computing

Books

  • Programming on Parallel Machines: GPU, Multicore, Clusters and More by Norm Matloff

Practice

  • Akka in Action by Raymond Roestenburg, Rob Bakker and Rob Williams
  • Foundations of Python Network Programming book by John Goerzen

Tools

  • Scala: Akka
  • C/C++
  • Python

Tahsin’s CSE Research Areas IV: Computational Science and Engineering

Books

  1. Numerical Methods for Engineers by Raymond Canale and Steven C. Chapra

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Creation: Love; Power; Possession; Creativity and Invention; Spiritual power; Care; Religion; Judgement; Happiness and feelings; Competition, Being top; Adventure, Thrill, Mystery; Social, Family.

Order instead of chaos. Creation instead of destruction. Justice instead of evil.

Tahsin’s CSE Research Areas III: Computational Biology and Bioinformatics

Books

  • An Introduction to Bioinformatics Algorithms by Neil Jones, Pavel Pevzner

Tools

  • Python: Biopython

Physics: Material world and spiritual world, even space and time are composed of the same spirit (spirit of God).

Electron, proton, neutron and all other elementary particles and forces can be given new properties and can be made to change their properties (mass, charge, speed, wave properties, field) by changing properties of the spirit.

New matter particles and forces can be created by giving properties to the spirit.

Space and time can be changed to any shape by changing the spirit.

Time travel and long distance space travel is possible.

Chemistry: Nucleus of atoms can be changed through the spirit and thus periodic table can be extended.

(These are hypotheses.)

Tahsin’s CSE Research Areas I: Artificial Intelligence, Big Data and Machine Learning

Subareas

  • Knowledge Representation
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Big Data, Data Science, Data Mining

Books

Theory

  1. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
  2. Artificial Intelligence by Elaine A. Rich and Kevin Knight
  3. Artificial Intelligence by Patrick Winston
  4. Machine Learning by Tom Mitchell
  5. Computer Vision by Linda Shapiro and George Stockman
  6. Speech and Language Processing by Daniel Jurafsky and James H. Martin

Practice

  1. Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp by Peter Norvig
  2. Prolog Programming for Artificial Intelligence Ivan Bratko
  3. Programming Collective Intelligence by Toby Segaran
  4. Programming the Semantic Web by Colin Evans, Jamie Taylor, and Toby Segaran
  5. Introduction to Machine Learning with Python by Andreas C. Müller and Sarah Guido
  6. Machine Learning with Python Cookbook by Chris Albon
  7. Programming Computer Vision with Python by Jan Erik Solem
  8. Natural Language Processing with Python by Edward Loper, Ewan Klein, and Steven Bird
  9. Data Analysis with Open Source Tools. by Philipp K. Janert
  10. Doing Data Science by Cathy O’Neil and Rachel Schutt
  11. Hadoop: The Definitive Guide by Tom White
  12. Spark: The Definitive Guide by Bill Chambers, Matei Zaharia
  13. MongoDB: The Definitive Guide by Shannon Bradshaw, Eoin Brazil, Kristina Chodorow
  14. Cassandra: The Definitive Guide by Eben Hewitt and Jeff Carpenter

Tools

  • Scala
  • Clojure
  • Common Lisp
  • Python: Scikit-learn, TensorFlow, Keras, Theano, PyTorch, NLTK
  • R
  • Hadoop
  • Spark

Published Papers