Being an
enthusiastic and passionate researcher and developer in the field of
Mechatronics and Robotics field, I had participated on different
Robotics competitions including TECHFEST International Robotics
Challenge arranged by IIT Mumbai in 2013 and placed 4th among 25
teams. On that competition , I was the team leader and developed a
manual and an autonomous robot that worked synchronously to complete
different objectives including solving a 5x5 grid to locate, pick and
drop objects on the shortest path. The autonomous and manual robots
had to work in synergy to maximize points while avoiding dead zones.
I had written the whole embedded software code as the team leader
which included small scale BFS algorithms for path planning. The code
has been sourced at github
(https://github.com/xhuvom/Grid_Solving_Robot)
During my final year
undergraduate courses, I had done a research as the lead author on
improving automotive engine efficiency using machine learning
methods. The research paper entitled “Development and Analysis of
Adaptive Neural Network Control for a Cybernetic Intelligent ‘iGDI’
Engine” has been published on the SAE 2015 World Congress and
Exhibition which is the most prestigious automotive conference around
the world. I had participated on the conference as an Author
Participant in Detroit, Michigan, USA.
(https://www.sae.org/publications/technical-papers/content/2015-01-0157/)
I had extended the
research with my final year thesis work and for my thesis paper, I
had been recognized as a ‘Highly Commended Entrant’ on
Engineering and Built Environment category in 2015 by the
Undergraduate Awards which is also dubbed as sort of ‘Junior Noble
Prize’. That year I was the only entrant from South Asia on that
program and got the opportunity to represent Bangladesh and my
institute BUET at an International level on the UA Summit 2015 held
on Dublin, Ireland.
(http://www.undergraduateawards.com/winners/highly-commended/2015-highly-commended-entrants/)
On the following
year, I was an Engineering Panel Judge on the Undergraduate Awards
2016 program to evaluate top performing undergraduate papers and the
junior scholars around the world.
(http://www.undergraduateawards.com/get-involved/judges/2016-judges-2/)
On February 2016, I
had founded the very first Artificial Intelligence research group and
engineering solution provider in Bangladesh named ‘SIGMIND’. The
startup has been recognized as one of the TOP 50 startups on the very
first Govt. initiative ‘Connecting Startups Bangladesh’ platform
with the idea ‘Advanced Driver Assistance and Monitoring System”
which works as a safety device for vehicles to eliminate road
accidents. The innovative A.I powered product has been launched in
beta stage in December 2016 with the presence of the State Minister
of ICT Division, Bangladesh.
(http://www.undergraduateawards.com/now-wednesday-abu-anas-ibn-samad/)
Aside, my startup
SIGMIND has been received the only membership from Bangladesh on
NVIDIA Inception Program which recognizes top performing A.I startups
around the world and providing virtual incubation support since
January 2017.
The project
initiatives by SIGMIND has been extended to an active safety device
with improved technologies and has been awarded as one of the TOP 20
startups on the Startup Bangladesh Platform initiated by the
Government on July 2017.
Recently on October
2017, my startup SIGMIND has been awarded as the 2nd runner-up on
National ICT Awards 2017 and currently getting support from the
governments Innovation, Design and Entrepreneurship Academy (iDEA)
project.
================================
>>This
undergrad research was focused on applying machine learning methods
for transient control of automotive IC engine providing improved
efficiency and power output while reducing fuel consumption.
“Development and Analysis of Adaptive Neural Network Control for a
Cybernetic Intelligent ‘iGDI’ Engine” - Technical Papers
Session, SAE 2015 World Congress and Exhibition, Detroit, Michigan,
USA
[http://papers.sae.org/2015-01-0157/]
&
[https://www.researchgate.net/publication/274959452_Development_and_Analysis_of_Adaptive_Neural_Network_Control_for_a_Cybernetic_Intelligent_%27iGDI%27_Engine]
>> The
complete undergraduate thesis paper published on the Undergraduate
Awards Library with more feature enhancements and robust control
strategies like turbocharger control without turbo-lag and dynamic
skip firing. [
http://undergraduatelibrary.org/system/files/sae_final_manuscript_deploy_ua.pdf
]
>> YOLO
algorithm based facial detection and recognition application using
Deep Neural Network. Provides automatic data capture, annotation and
data training without any explicit feature coding.
[
https://github.com/xhuvom/darknetFaceID ]
>> Learning to
servo visually – a deep learning implementation on accelerated GPU
Development of
versatile visual servoing scheme with Deep Reinforcement learning
===============================
We
are in the era of neuro-cognitive machine intelligence where robotics
and AI come together to revolutionize the way we are living in the
future. To make it more accelerated and public friendly, I have been
always enthusiastic on putting research hours to bring the holy grail
of Artificial General Intelligence for practical engineering
applications to ease human life. Being an enthusiastic and passionate
researcher and developer in the field of Mechatronics and Robotics
since my first year as Undergrad student, I have developed numerous
projects for and outside academic purposes and attended different
robotics competitions both locally and internally. Aside academic
studies for the courses of Mechanical Engineering, I was always a
passionate learner thus extended my knowledge and understanding
beyond my field of study. Thus I had attended 4 different Online
Courses and gained honour code certificates from reputed USA
Universities, including Honor Code Certificates from University of
Texas at Austin (6.02x) in 2015 and University of California At
Berkeley (EECS149.1x) in 2014 through edX.
Later on I was
passionately focused on performing some original research works as I
had extended my enthusiasm to Machine Learning and Artificial
Intelligence field. Thus I had reached on a milestone with my first
publication on SAE 2015 World Congress and Exhibition depicting the
application of Machine Learning to solve some complex problems in
automotive engine control systems. The research was extended to my
final year thesis which was recognized internationally by the
prestigious Undergraduate Awards.
After those
achievements, I was keenly interested on the field of Machine
Learning, specially Deep Learning and Artificial Intelligence.
Observing the breakthroughs on Image recognition challenge with GPU
trained Deep Neural Network since 2012 and reading the paper on
Nature by DeepMind to learn playing 49 different Atari games, my mind
was blown with the new technological marvel. Then I decided to join
the race of A.I. for developing practical engineering applications of
narrow and deep A.I. that solves some of the greatest challenges for
humanity.
Towards pursuing the
goal, I had founded the very first Artificial Intelligence research
group and engineering solution provider in Bangladesh on February
2016 addressing the problem of road accident as well as security
issues in the local region. My company has been successfully
developed Computer Vision algorithms powered by Deep Neural Network
towards providing driver assistance and monitoring system as a safety
device for ground vehicles. The device is successfully tested and
being marketed in Bangladesh.
My company has also
been developed "WATCHCAM", an Intelligent Video
Surveillance solution to provide improved security to the citizens
which has been tested and adopted by the local government. The DNN
based computer vision algorithm can detect objects, recognize faces
and vehicle license plates as well as provide real-time
notifications. My company has also gained membership on NVIDIA
Inception program and receiving tremendous support towards our
endeavors.
As the founder and
lead developer of those technological solutions by the company, my
passion and enthusiasm gradually grows to develop more robust A.I.
systems that could learn from minimum supervised data and learns by
itself. Thus I want to join OpenAI towards developing further skills
and growing my passionate efforts in this field. I am pretty sure we
are very close to a technological singularity by developing
Artificial General Intelligence (AGI) which might be the last thing
human ever needed to develop. As soon as AGI is developed, the AGI
would quickly turns into Artificial Super Intelligence (ASI) that
would surpass all the collective intelligence humanity posses. All
we need to do is to ensure the application of the technological
marvels for the greater good of humanity.
By joining the
OpenAI fellowship program, I could boost my skills and enrich my
understanding in the field more collaboratively which might be a
complete paradigm shift for me. I always try to tinker with
different latest open-source deep learning algorithms and
implementations as well as using different frameworks and toolkits to
try new things. OpenAI gym is one of my favorite to play with,
specially for developing and testing Reinforcement Learning
algorithms. I had also tried the OpenAI universe to play GTA V but
later the repo might have an issue before I made a complete progress.
I think my passion,
ambition and enthusiasm for A.I. will drive a lifelong career in this
field on the upcoming A.I. first economy. It would be accelerated if
I get the opportunity to be mentored by top deep learning experts on
some leading A.I. research institutes like OpenAI. Thus I am Looking
forward towards devoting my lifelong passion standing on the verge of
this paradigm shift.
Comments
Post a Comment