Scientific Approach To Engineering

Scientific Approach To Engineering

I have never taken a single course in Aerospace Engineering.
But I am capable of single-handedly building a passenger Aircraft as big as Boeing and more advanced than anything the world has ever seen.
Moreover, building an Aircraft is simple for me.
How is it possible?
For me, building an Aircraft is utilizing “a few” basic laws of Physics and “a few” fundamental principles of Chemistry (Materials for Aircraft).
For Aerospace Engineers, building an Aircraft is complex and, surely out of reach for any single individual Engineer.
  • Because the Aerospace Engineer learns about “Jet Engines” and loses himself in details. (He doesn’t see that only a few basic Principles of Physics and Chemistry govern the design of a Jet Engine.) 


  • The Aerospace Engineer learns to calculate the wind pressure required to keep the Aircraft flying – and loses himself in details – on the size and speed. (He doesn’t see that a few basic Laws of Physics and Chemistry is enough to calculate and design the wings of an Aircraft and the amount of pressure required to support the weight of the Aircraft.)
  • The modern control system (built out of complex Software) that a modern Pilot uses to guide himself while running a plane – is out of reach of any single Aerospace Engineer. For me – designing and building the Software is simple.
This is how “being the best Scientist makes me the best Engineer”.
In brief:  
Physics and Chemistry – simplifies the world with a few basic principles (these are the laws of nature, the ultimate possibilites). If you learn those principles and you have enough imagination – you can build anything you can think of – from Passenger Aircraft and Satellite to High Speed Rail and Electric Car.

Scientific Approach To Engineering
Learning the ultimate possibilities through Science and building the ultimate Engineering Machines
I am more of a scientist – a Theory / Model Builder. And that makes me the best Engineer.
Whenever I try to learn something, I learn everything that can ever be learned about the subject – even knowledge that is yet to be discovered (of course by thinking, because everything that can ever be learned about a subject” is not yet documented anywhere in an organized way). 

So, when I am learning Robotics

I organize – everything that can ever be learned about Robotics – from the perspective of Physics and Computer Science (by thinking).

Physics defines the rules that the world follows – you can’t go beyond those rules. So to understand the ultimate Physical possibilities of Robotics – you have to think from the perspective of Physics.
I build the ultimate “Model”s of the world.

Researchers work on building better“Model”s of parts of the world, try to “improve upon”current devices. So a researcher working on – say, Optogenetics, asks specific and limited questions – 

what other protein respond to light? 
What other wavelength of light can we use to control neurons?

While, I ask general questions (the ultimate possibilities)– 

What are the ways we can “control” neurons? Shining light from outside and building sensors (out of protein) that respond on neurons is one way.

How far can we go with Optogenetics? Creating a Magnetic Field is another way to control parts of the brain.

This is my approach – I try to learn everything that can ever be learned – because Science sets the ultimate possibilities

That’s how being the Best Scientist makes me the Best Engineer.

Related Links


Physical Digital Computing

  1. Emerging Area: Physical Digital Integration
  2. Physical Digital Integration: Cloud Manufacturing & Car 2.0
  3. Smart Home With Physical Digital Integration: What The Future Holds
  4. Could Manufacturing Be The Key To American Lead In Global Economy?
  5. The Science of Reading: Paper versus Screens
  6. On The Future Of Manufacturing: From Scientific American
  7. The Story Behind Physical Digital Computing
  8. Personal Notes On Book 2.0
  9. Personal Notes On Robotics
  10. Personal Notes On Manufacturing [Unofficial]
  11. Personal Notes On 3D Printing, Additive Manufacturing [Unofficial]
  12. Personal Notes On Digital Sports – 1 [Unofficial]
  13. Designing Information Interface For The Next 5 Billion
  14. “Things That Think” From Prof. Neil Gershenfeld
  15. Physical Digital Interaction / Experience / Product Designer
  16. Personal Notes On Exponential Technologies [Unofficial]
  17. Personal Notes On Physical Digital Computing – 1 [Unofficial]



Manhattan Scale Research” in BioSciences, Translational Medicine and BioEngineering

I’ll soon start “Manhattan Scale Research” Project in Medicine and BioEngineering – that will define the frontiers of Healthcare, Medicine and related fields – like Environment, Energy (Fuel; Photosynthesis inspired Solar Cells?) & Sustainability, Agriculture.

  • Cancer, Ebola, Parkinson’s, AIDS, Alzheimer’s,
  • Disabilities and losses (Eyesight loss; Limb Amputee, etc. <- Stem Cell & Regenerative Medicine. We can replace with Mechanical / Physical parts as long as we our Stem Cell / Regenerative Medicine Tech is not advanced enough – but remember – Biology – is the ultimate technology.
My Guiding Principle: 
Restore the Normal
(as opposed to the “Artificial” – Mechanical devices or Pills or Drugs)
– possibly through:
  • Stem Cell / Regenerative Medicine
  • Gene Therapy.
As long as we can’t make headway in “Stem Cell – Gene Therapy”,
we can do away with “Drugs and Devices” (“Artificial” means),

but the ultimate future of Medicine lies in Biology.

Excited about the CRISPR DNA-editing technique? or Stem Cell Therapy? You are on the right track! Because that’s the future!
My Plan is to build
  • Medical / Scientific / Engineering Equipments (that would be required in my own research) and
  • Sell and use the profit to fund my research / further work.
So only limited funding would be required in the first phase – and from that point on self – funding / reinvesting.
Equipments would require continuous innovations and improvements. For example,
  • Gene Sequencers (Bringing down the cost of Gene sequencing of a single Genome to several hundred dollars or maybe $100.)
  • Robots that automate much of Experimental work. [Consider: Combinatorial Chemistry – parallel reactions]
Another line of products (lots of innovations)
  • Medical / Surgical Equipments (from smaller Ultra-Sounds to “Da Vinci”-like Surgical Robots)
  • Healthcare IT Infrastructure and Services (to Hospitals, Clinics) – Examples:
    • Sensors that measure Body parameters and store data in Database / Cloud <- Big Data 2.0 on Data;
    • Watson-like AI on Medical Literature (e.g., Pubmed) to augment Medical Researchers and Physicians


A few 

BioEngineering / BioMedical Engineering / Molecular Biology / Cell Biology / BioChemistry / BioPhysics / BioInformatics / Computational Biology PhDs

– each concentrating on a particular part – under my supervision:

  • One researcher concentrating on Transport system of Cells – 2013 Nobel Physiology or Medicine Prize Work (Collaborating with other researchers focused on other Cellular organelles or Extra-cellular Matrix)
  • Another researcher concentrating on Spatial Representations and Motor Planning in the Brain – 2014 Nobel Physiology or Medicine Prize Work
  • Couple working on how to repair / replace Damaged Organs with Tissue / Organs grown from Stem Cells – carrying on the 2012 Nobel Physiology or Medicine Prize Work
– I’ll teach, guide and help them grow.
[Areas mentioned above are – studying the “Natural” – life as it is.]
Policy Reform:
I will review and modernizethe FDA (Drug, Medical Device) appoval process.
Going through a process that takes 10 years and costs Billion Dollars – after inventing a drug [and device] – to bring it to market – kills off many promising drugs.
[This is how having access to everything – will enable me to bring about Revolutionary Changes. No company could think of modernizing FDA approval process – however bad they wanted it.]
Other “Manhattan Scale” Projects / Innovations:


Education Platform
  • Huge! Reinvention of Education. Changes the way Education is delivered, the way how people learn in each and every country of the World. [Microsoft?]
  • E-Book 2.0 / E-Magazine 2.0 / E-Newspaper 2.0 & Digital Publishing

Artificial Intelligence Platform
    • Watson-like Natural Language Understanding + A Lot More 
  • Less computational resource requirement; Highly developed Knowledge Processing / Reasoning 
  • Apps and Services on Top of the Platform

Cloud Manufacturing Platform + Physical Digital Computing Division
    • This is where the Medical / Surgical / Scientific Equipments would be manufactured. 
  • + Manufacturing Equipments and Services for Companies 
  • Materials / Nano / Applied Physics / Engineering Research

Knowledge Based Robotics
    • Imagine: Robot Engineers repairing your Car.
  • Robots in Industry. Home. Healthcare. Service Robots.

Computer Reimagined [Computer Architecture; Processor; Hardware; Novel Material, UI]




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