Membrane Computing Seminar at Palawan State University (together with PCSC2016)

Post date: Feb 2, 2016 1:02:33 PM

Members of the AClab will provide a seminar on Membrane Computing on 15 March 2016, a day prior to the 16th PCSC in Puerto Princesa, Palawan.

This page will be updated regarding details of the seminar.

Seminar title

Cell-inspired Computing: An Introduction and Overview of Membrane Computing

Seminar coordinates

15 March 2016, 8am to 12pm, Performing Arts Center, Palawan State University, Puerto Princesa, Palawan.

Seminar description

This seminar provides a brief introduction and overview to computations inspired by the biological cell, i.e. Membrane computing. The seminar covers basic theoretical and practical results. Examples of membrane systems and their computations are provided. The target audience are (but not limited to) practitioners and students of computer science, information technology, mathematics, and related disciplines.

Seminar page URLs (full version) or (short version)


(click the name to view more information about the speaker)

  1. Nestine Hope S. Hernandez
  2. Richelle Ann B. Juayong
  3. Francis George C. Cabarle

Seminar outline

Short summaries of talks

    • Talk 1: In this talk, we start with an overview of algorithms and limits of computing to provide a motivation for the conceptualization of membrane computing. We then introduce P systems as membrane computing models. Fundamental concepts such as syntax and semantics of P systems will also be presented.
    • Talk 2: In this talk, we shall discuss computing models whose inherent structure is hierarchical. Such feature is analogical to the arrangement of membranes in cells. Some of the models to be tackled include Transition P systems, P systems with symport and antiport and P systems with active membranes. After introducing the mentioned models, we shall show how these models can be used to solve real-world problems. Finally, open problems related to cell-like membrane systems will be provided.
    • Talk 3: Spiking neural P systems (in short, SNP systems) are membrane computing models inspired by the functioning and structure of biological cells known as neurons. In SNP systems, neurons are placed on nodes of a directed graph, where edges in the graph are known as synapses. Neurons are spike processors, i.e. signals known as spikes are used to encode information. SNP systems theory is first provided, followed by applications such as sorting networks, image manipulation. Finally, research directions and problems for undergraduate and graduate students are provided.

Seminar presentation slides

See attachments at the bottom of this page.

Seminar photos

Some seminar photos can be found HERE.