ACMC 2022

Invited Speakers

Some thoughts on notions and tools for investigating SN P systems

Francis George Cabarle

University of the Philippines Diliman, Q.C.

Abstract. In what follows is the extended abstract for the invited talk given by the author at the 11th Asian Conference on Membrane Computing 2022 (ACMC2022) from 6 to 9 September 2022. ACMC2022 is done virtually (online) and organised by the Department of Computer Science at University of the Philippines Diliman, Quezon city, Philippines.

Francis George Cabarle received the Ph.D. degree in computer science from the Algorithms and Complexity, at the Department of Computer Science, in the University of the Philippines Diliman, Quezon City, Philippines, in 2015. He is now an Associate Professor and currently heads the Algorithms and Complexity Lab at the Department of Computer Science, University of the Philippines Diliman. His current research interests include membrane computing, parallel computing, and automata and formal languages.

The Many Shapes of Polymorphism

Sergiu Ivanov

Paris-Saclay University, France

Abstract. This invited talk discusses different ways of expressing plasticity in P systems, with particular focus on polymorphic P systems. Plasticity is the capacity of the system's structure to evolve. In polymorphic P systems, the rules themselves are allowed to evolve, as their left-hand and right-hand sides are derived from specially designated pairs of membranes. Among other things, this allows for generating factorial and superexponential languages in linear time. In this talk, we discuss various properties of polymorphic P systems and list 11 promising open questions.

Sergiu Ivanov is an Assistant Professor (maître de conférences) of

computer science at the IBISC laboratory at the Paris-Saclay

University. He is currently member of team COSMO, who study the

fundamental properties of complex systems, and particularly

biological systems.

Sergiu Ivanov defended his PhD thesis focused on the computational

power of biologically-inspired models of computing at Université

Paris-Est in 2015. His principal research interest lies in applying

formal models to gain insight into medical and biological problems.

He focuses on a wide spectrum of discrete formal models—P systems,

Petri nets, string and array rewriting, networks of Boolean automata,

reaction systems, tile assembly models—and applies them to

controllability of biological networks and therapy inference, as well

as to understanding the underpinnings of evolution and

natural selection.

On DNA of Membrane Computing models

Agustin Riscos Núñez

Universidad de Sevilla, Spain

Abstract. The extended abstract presented here corresponds to the invited talk given by the author at the Asian Conference on Membrane Computing (2022).

Agustín Riscos-Nuñez is currently an associate professor at the Department of Computer Science and Artificial Intelligence, guarantor researcher at the Smart Computer Systems Research Engineering Lab (SCORE), head of the Research Group on Natural Computing (RGNC), founding member and Secretary of the Research Institute of Computer Engineering (I3US) at Universidad de Sevilla, Spain.

He is also an IEEE Member, and one of the founding members of the “International Membrane Computing Society (IMCS)”.

His main areas of expertise are bio-inspired computing (specially membrane computing) and artificial intelligence. His research interests mainly focus on computational complexity theory and computational modelling of complex systems (specially population dynamics in ecology), as well as other practical applications in the fields of bioinformatics, biomedicine, high performance computing and robotics.

He has co-authored over 100 publications, including around 50 scientific papers published at indexed international journals. He has also co-authored numerous conference contributions (some of them as invited speaker), several book chapters and one monograph, and has served as editor for more than 15 collective volumes. The total number of citations received is over 1300, according to Web of Science records, yielding an h-index of 22.

Variants of P systems and Their Computational Properties

Bosheng Song

Hunan University, China

Abstract: A vigorous area of nature-inspired computing, Membrane Computing (MC for short), is an abstract cellular computing paradigm, by providing computing models, generically called P systems or membrane systems, which are distributed and parallel computing devices [1]. In this talk, inspired by different biological facts, some variants of P systems are introduced and the obtained results of these P systems are presented.

Bosheng Song received the Ph.D. degree in control science and engineering from Huazhong University of Science and Technology, Wuhan, China, in 2015. He spent eighteen months working in the Research Group on Natural Computing, University of Seville, Seville, Spain, from November, 2013 to May, 2015. He was worked as a post-doctoral researcher with the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China, from March, 2016 to February, 2019. He is currently an Associate Professor with the College of Information Science and Engineering, Hunan University, Changsha, China. His current research interests include membrane computing and bioinformatics.