Dharani Punithan
Post-doctoral Researcher
Seoul National University
punithan<dot>dharani<at>gmail<dot>com
Academics :
Doctorate in Computer Science and Engineering, Seoul National University,
South Korea (2014).
Masters Degree in Computer Applications, PSG College of Technology, Coimbatore, TamilNadu, South India (2000).
Research Interests :
Representation Learning, Molecular Learning, Homeostatic Complex Systems,
Bio-inspired Computing
My current research focuses on
1) Graph Representation Learning for knowledge-based question answering
2) Data-Driven Modeling of Complex Systems using Reservoir Computing
Ph.D. Thesis :
Homeostatic Complex Systems
Advisor: Prof. Robert Ian (Bob) McKay
This thesis focuses on bio-inspired innate intelligence based on Daisyworld, a mathematical model of the Gaia hypothesis. This model enables to build autonomous systems for life-long self-maintenance, self-organization, and self-regulation by homeostasis. We incorporate complexity features into our system via non-linearity (Coupled Map Lattice), small-world graphs (Watts-Strogatz, Newman-Watts, and Smallest-world models), adaptive graphs, scale-free graphs; and evolutionary model (replicator-mutator) to demonstrate autonomy. We use mathematical modeling, computer simulations, and extensive experiments for a wide range of rich features of complex systems to demonstrate collective intelligence or emergent artificial intelligence with the complex systems perspective.
Scholarships Awarded :
Brain Korea 21 (BK21) Fellowship, Ministry of Education and Human Resource Development, South Korea
National Research Foundation (NRF), Ministry of Education, South Korea
Seoul National University Foundation Scholarship
Ilun Science and Technology Foundation
Academic Experience (03-2008 ~ 02-2015) :
Teaching Assistant at Seoul National University
Discrete Mathematics
Knowledge Representation and Reasoning
Advanced Artificial Intelligence
Technical Writing for Engineers