office: Faculty of Engineering, Chulalongkorn University, Eng. Build
4, Floor 18, room 12, tel 02-2186982.
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. 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.
email : prabhas at chula dot ac dot th
follow his twitter: @prabhas_c
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 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
optimization, scheduling, negative learning.
Wattanapornprom, W., Olanviwitchai, P., Chutima, P. and Chongstitvatana,
P., 2009 #8
previous talk ( 2001 -- 2015)
Machine Learning Trends for Big Data,
keynote at NCCIT & IC2IT 2017, 6-7 July 2017.
Optimization by Quantum Computers, keynote at IE Net, 1-3 March 2017.
Research and Innovation,
talk to graduate students of Technopreneurship and Innovation Management
program (TIP) at Chulalongkorn university, 24 Feb 2017.
Promises of Artificial Intelligence,
keynote talk at Int Conf of Multidisciplinary Approach on UN Sustainable
Development Goals, Bangkok, 28-29 Dec 2016.
Convolutional Neural Network, talk at Knowledge Exchange for
Innovation Center, KMUTT, 24 Nov 2016.
Quantum Computers, a short
talk (30 min), invited talk at the final round of Innovation for Defense
Technology contest, Bangkok, 18 Nov 2016.
Artificial Intellingence, a
short talk (30 min), invited talk at the innovation competition of Defense
Technology Institute, Thailand, 11 Nov 2016.
AI future, a panel discussion at ITU
Kaleidoscope 2016 Special Session: Artificial Intelligence for a sustainable
future: Friendly companion or threatening conqueror, Bangkok, 16 Nov 2016.
Quantum Computers, talk at Regional ACM-ICPC International
Collegiate Programming Contest opening at Faculty of Engineering,
Chulalongkorn University, Bangkok, 11 Sept 2016.
talk at the workshop of ECTI on research writing, Chiangmai, 9 Sept 2016.
Artificial Intelligence: Past,
Present and Future, talk to graduate students at Computer Engineering
department, Kasetsart University, 31 Aug 2016.
Artificial Intelligence: From Theory
to Practice, keynote talk at 2016 Int Conf on Advanced Informatics:
Concepts, Theory and Application, Penang, Malaysia, 16–19 Aug 2016. (abstract)
learning technique to improve performance of cache bypassing, invited
talk at Int Conf on Embedded Systems and Intelligent Technology, Aug 5-8,
Quantum Computing, keynote
speech at Int Joint Conf on Computer Science and Software Engineering
(JCSSE), 13-15 July, 2016, Khon Khan, Thailand.
speech) for senior students at Department of Computer
Engineering, Chulalongkorn University, 13 May 2016 (in Thai)
Quantum Computing: an introduction,
invited talk at Naresuan University, seminar in Quantum encryption, 21 March
2016. (powerpoint with soundtrack, big
Internet of Everything, invited
talk at Cloud Technology and Big Data Conference, 22-23 Jan 2016, Bangkok.
Current issues in
Quantum computing, talk to grad. students, Chulalongkorn University, 4
Languages Principles 2016
2110101 Introduction of
Exploring Engineering World
Electronics and Interfacing 2015
2110221 Computer Engineering
Essential 2013: Algorithm
Embedded Systems 2013
Artificial Intelligence 2012
2110793 Advanced topic in
digital systems NEW
2110682 Embeded and Real
Time System NEW
Internet of Things 2016
2110714 Digital Systems 2016
Introduction to BME: Modern
Computer Systems 2016
PhD seminar in IT for
Chulalongkorn Business School
Research grants and awards
I am currently active in the field of Evolutionary Computation, Robot
Learning, Bioinformatics and Quantum computing. My research
activities are associated with
Intelligent System Laboratory (ISL), and closely tie with ISL2,
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.
Lowpower programming NEW
S2 version 1: 32-bit processor NEW
RZ language (work in progress)
The power of emulation: Retro
Mini SQL Where clause parser
4B processor, a simple processor
that can be implemented with basic elements
CPU 1001 simulator on the web
Natural Graphic Processing Unit
S2 Chip simulator
Som-language (som v5.1)
R1 concurrent system (1994-1995)
Self generating compiler (under construction)
My e-book "Program For
IOI Computer Olympic
Support my new book "The essence of computer
My Propeller Page
IEEE Extreme 4.0 programming contest (2010) top 25 result
IEEE CPU simulator contest 2010
Hardware Synthesis and Verification (local access only)
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