His Mission, His Recent Insights and Actions

His main mission statement has been – IIM – Investigation, Interpretation and [prevention of] Misuse [of Spiritual Knowledge]. As it is said Knowledge is totally distinct from worship or devotion or belief, he wants to make Spiritual Knowledge independent of scriptures or any ritual from any sort of traditional belief. He wants to devise a method by which Spiritual Knowledge to take support of logic, science, history, Hermetic Theory, scaling of time and size by affine transformations. He wants to carryout investigations of Spiritual Knowledge based on carefully examining facts from above realms. There are certain points i.e., certain aspects or points that are seemingly asymmetrical in his perceptions that he wants to investigate upon.

Regarding sciences exploring Spirit, Brain and Machine connections he has come up with an approach to equip him in his research. He has to get good theoretic grounding then diverging towards more of applied aspects like Engineering – Electrical, Computer, and Biomedical.

Mathematics part: Measure theory, fractal, chaos, algebraic, differential topology, Functional  Analysis, Fourier Analysis, Distributions and Fourier Transforms, Banach Algebra and Spectral Theory, Harmonic Analysis.

His choice of books for them:

  • Measure, Topology, and Fractal Geometry – Edgar
  • An Introduction to Mathematical Chaos Theory and Fractal Geometry –Donahue
  • Introduction to Topology and Modern Analysis – GF Simmons
  • Algebraic Topology– EH Spanier
  • Differential Topology – Guillemin, Pollack
  • Differential Topology & Quantum Field Theory – C Nash
  • Protein Structure: Geometry, Topology and Classification – Taylor, May, Brown
  • Functional Analysis – W Rudin
  • Primer on Wavelets and Their Scientific Applications 2e – Walker
  • A Handbook Of Harmonic Analysis – Yoshihiro Sawano

Physics part: Starting with Theoretical Physics, Quantum Physics, Quantum Chemistry, Quantum Field Theory, Quantum Computing, then a course on Electric and Electronic Engineering.

His Choice of books on these topics:

  • Concepts in Theoretical Physics – B. Simons
  • Quantum Mechanics and Quantum Field Theory (2011) – J Dimock
  • Quantum Chemistry 3rd Ed – Lowe, Peterson
  • An Introduction to Quantum Field Theory – Peskin and Schroeder
  • Advanced Topics in Quantum Field Theory A Lecture Course – M Schifman
  • Quantum Computation and Quantum Information 10th Ed – Neilson, Chuang
  • Explorations in Quantum Computing 2nd Ed – C. Williams
  • Nano, Quantum And Molecular Computing – Shukla, Bahar
  • Physics in Mind: A Quantum View of the Brain – Werner Loewenstein
  • The Electrical Engineering Handbook –Dorf
  • Complete Digital Design: A Comprehensive Guide to Digital Electronics and Computer System Architecture –Balch
  • Foundations of Analog and Digital Electronic Circuits –Agarwal
  • fundamental electrical and electronic principles 3e – Robertson

The Computer Science part: He thinks of having broad understanding on theoretical computer science, automata, formal languages, computing, then soft computing – machine learning, fuzzy logic, neural nets, evolutionary computing – genetic algorithms, stochastic algorithms etc., then proceeding to Computer Engineering then to Systems Engineering and Architecture.

His Choice of books on these topics:

  • Theoretical Computer Science –Goldreich, Rosenberg, Selman
  • Elements of Information Theory 2nd Ed – T. Cover, J. Thomas
  • Introduction to Theory of Automata, Formal Languages and Computing – Hopcroft and Ullmann.
  • Introduction to Theory of Computation – Michiel Smid
  • Computational Complexity – Christos Papadimitriou
  • Introduction to Soft Computing – Eva Volna
  • Learning and Soft Computing: support vector machines, neural networks, and fuzzy logic models – Vojislav Kecman
  • Soft Computing for Knowledge Discovery and Data Mining – Maimon, Rokach
  • Evolutionary Computing in Advanced Manufacturing – Tiwari, Harding
  • Introduction to Evolutionary Algorithms– Yu, Gen
  • Evolutionary Algorithms for Solving Multi-Objective Problems – Coello, Lamont and Van Veldhuizen
  • Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain – Amit Konar
  • Cognitive Robotics – Hooman Samani
  • Fuzzy Sets and Fuzzy logic: Theory and Applications – Yuan, Klir
  • A First Course in FUZZY and NEURAL CONTROL – Nguyen, Prasad, Walker
  • An Introduction to Genetic Algorithms – Mitchell Melanie
  • Neural Networks in Bioprocessing and Chemical Engineering – Baughman and Liu
  • Data Mining: Concepts, Models, Methods, and Algorithms – Kantardzic
  • Data Mining: Practical Machine Learning Tools and Techniques – Witten, Frank, Hall
  • An Introduction to Systems Science – Warfield
  • Computer Systems: Theory, Technology and Applications – Herbert, Jones
  • The Computer Engineering Handbook – Oklobdzija

Biology part: Systems Biology, Neuroscience, Biophysics, Bioinformatics, Mathematical and Computational, Cognitive Neuroscience, Biomedical, Neural Engineering.

Assorted books addressing Biology part:

  • Life: An Introduction to Complex Systems Biology (Understanding Complex Systems) – Kaneko
  • Translational Systems Biology Concepts and Practice for the Future of Biomedical Research 1st Ed – Vodovotz, An
  • Computational Systems Biology 2nd Ed – Eils, Kriete
  • Theoretical Neuroscience Computational and Mathematical Modeling of Neural Systems – Dayan, Abbott
  • Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting – Izhikevich
  • Guide to Research Techniques in Neuroscience – Carter, Shieh
  • Cognitive Neuroscience 3rd Ed – Banich, Compton
  • Computational Neuroscience: A First Course – Mallot
  • Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain – O’Reilly, Munakata & McClelland
  • Illustrated Review of Neuroscience – Krebs, Weinberg, Akesson
  • Neuroscience –Purves, Augustine, Fitzpatric, Hall, White
  • Bioinformatics for Biologists – Pevzner, Shamir
  • Bioinformatics: Databases and Systems – Letovsky
  • Bioinformatics and Systems Biology: Collaborative Research and Resources – Marcus
  • Comprehensive Biophysics – Egelman
  • Bioinformatics and Biomedical Engineering Part I, II – Ortuño, Rojas
  • Physiology, Biophysics, and Biomedical Engineering – Wood
  • Handbook Of Neural Engineering – Metin Akay