Prabhas Chongstitvatana
Prabhas Chongstitvatana is a professor in the department of computer
engineering, Chulalongkorn University. He earned B.Eng. in Electrical
Engineering from Kasetsart University, Thailand in 1980 and Ph.D. from the
department of artificial intelligence, Edinburgh University, U.K. in 1992.
His research involves robotics, evolutionary computation, computer
architecture, bioinformatics and quantum computing. He is a lifetime
member of Thailand Engineering Institute, senior member of Thai Academy of
Science and Technology, senior adviser of Thai Robotics Society, founding
member of Thai Embedded System Association and IEEE Robotics and
Automation Society. He was the president of ECTI Association of
Thailand 2012-2013. He has been awarded "National Distinguished
Researcher" by National Research Council of Thailand in 2009. His
current interest is in building Quantum computer.
office: Faculty of Engineering, Chulalongkorn University, Eng. Build
4, Floor 18, room 12, tel 02-2186982.
email : prabhas at chula dot ac dot th
follow his twitter: @prabhas_c
Research Highlight
Quantum Computing (most recent)
Benchasattabuse, N, Chongstitvatana, P. and Aporntewan, C., "Quantum Rough
Counting and Its Application to Grover's Search Algorithm," 3rd
International Conference on Computer and Communication Systems (ICCCS)
Nagoya, Japan, April 27-30, 2018. (abstract)
(link to IEEE Explore)
Hardware Compact Genetic Algorithm
Genetic Algorithm is an optimization technique based on probabilistic
search. It is a sub-field of Artificial Intelligence. It is widely
used in industry because it is simple and effective. Hardware Compact
Genetic Algorithm is an embodiment of the algorithm into digital circuits,
achieving 1000 times speed up over the software incarnation.
Keywords: Compact Genetic Algorithm,
Hardware implementation.
Aportewan and Chongstitvatana, 2001 #5
Coincidence Algorithm
Coincidence Algorithm is an optimization algorithm for combinatorial
problems. There are many uses in industry such as scheduling assembly
line, inventory control, logistics etc. A unique characteristic of
Coincidence Algorithm is its use of the negative examples to improve the
quality of the solution. Presently, negative-correlation learning has
been acknowledge as one of the new promising method in optimization and
machine learning.
Keywords: Combinatorial
optimization, scheduling, negative learning.
Wattanapornprom, W., Olanviwitchai, P.,
Chutima, P. and Chongstitvatana, P., 2009 #8
Compact Genetic Algorithm on Quantum computers
This work presents an example of programming a quantum computer. The
compact genetic algorithm is used as a target as it is powerful and
popular method in evolutionary computation. This paper demonstrates
the enhancement in terms of solution quality and speed introduced by
quantum computation. The simulation of quantum computing is carried out
for solving a problem using the compact genetic algorithm. The exponential
speed up over a classical computer is demonstrated.
Keywords: Genetic algorithms,
Compact Genetic Algorithms, Quantum Computers.
Yingchareonthawornchai, S., Aporntewan, C.,
and Chongstitvatana, P., 2012 #14
Public Talk
previous talk ( 2001 -- 2017)
Lecture
series, "IT for Government Management," for Treasury Department, 28 Aug
2019:
Artificial Intelligence,
Machine Learning, Data Analytics (Data
Science tutorial, Software Engineering Institute, CMU,
https://resources.sei.cmu.edu/asset_files/Presentation/2017_017_001_503388.pdf)
Three lectures in the series "IT for Government Management," talk at
Treasury Department, 16 Aug 2019:
Machine
learning,
Quantum
Computer,
Botnets
Benchmarking
Quantum Computer, public talk, at AIAT annual meeting, 11 May 2019,
Bangkok.
Artificial Intelligence and
Future of Education, public talk, Education ICT Forum, hosted by
Ministry of Digital Economy and Society, 25-26 April 2019, Bangkok.
Artificial Intelligence in
Medicine, invited talk at Int. Advanced Medical Robotics Symposium,
15-16 March, 2019, Bangkok, (
abstract
and CV).
Future of
Artificial Intelligence, public short lecture at Rangsit university,
four presentations:
AI
fundamentals,
Deep learning,
Quantum computing,
Impact of AI in Society, 2
March, 2019.
Artificial
Intelligence empowering business, invited talk at the forum: Future
Economy and Internet Governance, by ETDA, 23 July 2018, Bangkok. (
abstract )
Artificial Intelligence and Modern Warfare, talk at Royal air force
academy, Thailand, 10 April 2018.
Quantum
Computiong: from theory to practice, long lecture to graduate
students, Department of Computer Engineering, Kasetsart university, 31
March 2018.
Undergraduate teaching
2110316 Programming
Languages Principles 2019 NEW
2110452 High performance architecture
NEW
2110101 Introduction of
Programming: Python
Graduate teaching
2110714 Digital Systems 2017
(weekend)
Research
Research grants and awards
I am currently active in the field of Evolutionary Computation,
Bioinformatics and Quantum computing. My research activities are
associated with Intelligent System Laboratory (ISL) in the department of
computer engineering, Faculty of engineering, Chulalongkorn University.
ISL has ties with University of Tokyo, Japan and the school of
informatics, Edinburgh University, Scotland.
Projects
COIN: Coincidence Algorithm for
combinatorial optimisation
Fake news
detection
Processors
TX version 1.0 (a very small
processor) <under construction>
S2 version 1 processor
S2 Chip simulator
S30 multicore processor
4B processor, a simple processor
that can be implemented with basic elements
CPU 1001 simulator on the web
Natural Graphic Processing Unit
Programming
Lowpower programming
RZ language
The power of emulation: Retro
programming
Mini SQL Where clause parser
Som-language (som v5.2)
64-bit vm
R1 concurrent system (1994-1995)
Self generating compiler (under construction)
Threaded Language
Resources
My e-book "Program For
Fun"
IOI Computer Olympic
Support my book "The essence of computer system
engineering"
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