1. No industrial experience in Product
2. Didn’t realize the scale of the Project
3. Too ambitious – Prototype to Real Product
4. Importance of Teamwork – Research Cluster
1. Business opportunities – B2C or B2B
2. Technology too early – SMS, MMS, GPRS
3. Talent insufficient to develop in-house
4. Priority - Solving internal problems or creating
The MIMOS (R&D)
• 39 Research prototypes
(covering projects such as
IPv6, WSN, WiMAX, IMS,
6LoWPAN, IOT, HetNet,
Cognitive Radio, Mobile
Cloud etc), 130 IP
Disclosures including 27
Patents, which are
considered novel and
The Beginning of a Real Commercial Product
WiWi Product Variants
WiWi Gen 1.8b-1 (AP)
WiWi Gen 1.8b-2 (AP Ent)
WiWi Gen 1.8b-3 (Relay)
WiWi Gen 1.8b-11 (Relay Ent)
WiWi Gen 1.8b-4 (WiMAX)
WiWi Gen 1.8b-10 (HSDPA)
WiWi Gen 1.8b-19 (LTE)
WiWi Gen 1.8b-5
WiWi Gen 1.8b-6
WiWi Gen 1.8b-7 (IOT/ADSL)
WiWi Gen 1.8b-16 (IOT/WiMAX)
WiWi Gen 1.8b-17 (IOT/HSDPA)
WiWi Gen 1.8b-18 (IOT/LTE)
WiWi Gen 1.8b-12 (Gateway/ADSL)
WiWi Gen 1.8b-13 (Gateway/WiMAX)
WiWi Gen 1.8b-14(Gateway/HSDPA)
WiWi Gen 1.8b-15 (Gateway/LTE)
WiWi Gen 1.8b-9 (Mesh Point)
WiWi Gen 1.8b-8 **
Not CCN yet
1. Very costly and long period - Research to Product to
2. Patents on the shelf
3. Two separate teams (Research & Development) under
4. Non-agile – Too process oriented
5. The Trap of Osborne Effect
6. Too big to chew
7. “Solution in search of a Problem”?
How-To Build Producer Nation
University Industry Market
R&D Product (Roadmap) Commercialise
Understanding Roles and Responsibilities
• Solve their problems
Copyright: Dr. Mazlan Abbas (2020)
10-Slides Pitch Deck
10. Call to Action
4. The Solution –
Crossing the CHASM
Business & Product
“Valley of Death”
• How Long Does It Take?
• What’s the Difference Between Masters and PhD?
• Why Problem Definition Takes A Long Time?
• Why “Research” Approach is Different From “Development”?
• What are the characteristics of a Good Researcher?
What is BASIC Research?
• Basic research also known as fundamental or pure research is driven by a
scientist’s curiosity or interest in a question. The main motivation of this type of
• To expand man’s knowledge of the world and not to invent or create
• There is no obvious commercial value in research of this type.
• Basic science research includes
answers to such questions as:
• How did the universe begin?
• How has the brain evolved over
• How does DNA determine who
• What is the specific genetic code
of an earth worm?
• What are protons, neutrons and
electrons made of?
What is APPLIED Research?
• Applied research is designed to the practical problems that exist in the
modern world, rather than to just acquire knowledge for knowledge’s sake.
• One main goal of applied science is to improve human conditions and
make the world a better place.
Applied science may investigate ways
• improve agricultural crop
• get better network throughput
• find alternative routing solutions
• treat or cure a specific disease
• improve the energy efficiency of
What’s the Difference
Between Degree, Masters
and PhD’s Work?
[Source: “The Illustrated Guide to a PhD” by Matt Might]
Imagine a circle that contains all of human knowledge:
By the time you finish elementary school, you know a little:
By the time you finish high school, you know a bit more:
With a bachelor's degree, you gain a specialty:
A master's degree deepens that specialty:
Reading research papers takes you to the edge of human knowledge:
Once you're at the boundary, you focus:
You push at the boundary for a few years:
Until one day, the boundary gives way:
And, that dent you've made is called a Ph.D.:
Of course, the world looks different to you now:
Activity Detail Tasks Timeframe
Scope of Research
Select & Design
New mathematical theory
New programming language
New simulation tool
Acquisition and trials test-bed
Testing of Model 6-12 months
Create Output Thesis
< 3 months
Note: On average = Masters (2 years to complete) and PhD (3-6 years to complete)
How To Choose a Good
[Excerpts from the Article “How To Choose a Good Scientific Problem” by Uri Alon]
Choosing good problem is essential for
being a good researcher.
But what is a good problem, and how do
you choose one?
The Feasibility-Interest Diagram for Choosing a Project
The Feasibility-Interest Diagram for Choosing a Project
The mentors’ task is to support students through the cloud that seems to guard
the entry into the unknown. And, with this schema, we have more space to see
that problem C exists and may be more worthwhile than continuing to plod
“Sailing into the unknown again and again takes courage”
The Objective and Nurturing Schemas of Research
IP Landscape Using Thomson Innovation Tool
Fast, easily define upper and lower bound
Complex mathematics, need programming
Packet Scheduling Model
Assumptions must be
Either self-programming or
using simulation tool
Accurate, real results
Time consuming, expensive, not scalable
Support test-bed setup
Simple experiment and Data Collection
Some simple application programming
Support experimental work (advanced)
Simulation to proof the concept/ideas
Develop Simulation model
Co-generate and test new ideas
The need for Degree, Masters and PhD In a
• Breathing space
• Need time to think to be creative.
• Understanding Short and Long Term
• Knowledge always starts anew in every project.
• Impact of “Killing A Project”
• We can kill a Product or Project but be careful in killing a
“Research” since it will “wipe out” knowledge.
• Quest for Knowledge
• Never ending journey to the Frontiers of Knowledge
• Finding new challenges
• Recognition in their area of expertise
Light At the End of The Tunnel
“Research” Working with the “Unknown”
“Development” Working with “Known”
PhD is not all about the novelty achieved but it’s the Systematic
Process of Doing Research that’s the utmost important.
(But who appreciates people working with the Unknown?)
Data Link Layer
Valley of Appreciation – the challenge
To Go Deeper … You Need a Platform
The Need for Research Group and Vision
Stage Activities ~ %
R 100 0
AR 80 20
AT 50 50
PD 10 90
M 0 100
Research to Development Value Chain
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