Invited Speakers


Prof. Gexiang Zhang

Prof. Gexiang Zhang received his Ph.D degree at School of Information Science and Technology from the Southwest Jiaotong University, China, in 2005. Since then, he has been a Professor at the School of Electrical Engineering in Southwest Jiaotong University, where he leads the research group of Nature-Inspired Computation and Smart Grid (NICSG). His research interests include membrane computing, evolutionary computation, DNA computing, smart grid and robotics. He has published over 150 refereed book chapters, journal and conference papers in these areas. He authored the Chinese book “Membrane Computing: Theory and Applications” last year.

He was with The University of Sheffield, U.K., with Research Group on Natural Computing, University of Sevilla, Spain, and with New York University, USA, as an academic visitor or senior visitor in the past ten years. He is the founding President of International Membrane Computing Society (IMCS). He serves as a member of the steering committees of Asian Conference on Membrane Computing (ACMC) and International Conference on Membrane Computing (CMC). He also serves as a co-chair of the program committee of Asian Conference on Membrane Computing (ACMC), and as a member of program committee of several international conferences. Professor Zhang was the conference chair for organizing the 2nd Asian Conference on Membrane Computing (ACMC 2013) in Chengdu, China. He also serves as a guest editor of two special issues of Romanian Journal of Information Science and Technology. He is the principle investigator of three projects funded by National Natural Science Foundation of China. Prof. Zhang was selected as New Century Excellent Talents in University from the Chinese Ministry of Education.

Title of the talk:

Real-life applications with membrane computing


This talk reviews the many facets of real-life applications of membrane computing, such as engineering optimization problems solved by membrane-inspired evolutionary algorithms, fault diagnosis of electric power systems with fuzzy reasoning spiking neural P systems, mobile robots membrane controllers designed by using (enzymatic) numerical P systems and ecosystems modeling with population dynamics P systems. This talk also discusses the challenging issues in the real-life applications of membrane computing.




Prof. Henry N. Adorna

Henry Adorna, PhD is a Professor at the Department of Computer Science of the University of the Philippines, Diliman.  He heads the Algorithms and Complexity Laboratory since 2007.

Henry obtained his BS (in Mathematics) from FEATI University in 1987; MS (in Mathematics) and PhD (in Mathematics) from the University of the Philippines in 1996 and 2002, respectively.  He spent two (2) years (2000-2002) at RWTH Aachen as a DAAD PhD Scholar at the Department of Computer Science 1 (Algorithms and Complexity) under Juraj Hromkovic working on communication complexity and formal languages.  He began working in membrane computing with Gheorghe Paun in 2009 together with Mario Perez-Jimenez at the Department of Computer Science and Artificial Intelligence at the Universidad de Sevilla, Spain.

Henry’s research interests include discrete mathematics, algorithmics for hard problems, formal languages and automata, and natural and membrane computing.  His publications are partially listed at https://sites.google.com/a/dcs.upd.edu.ph/aclab/publications.

Henry is a member of International Membrane Computing Society (IMCS), the ACM, South East Asian Mathematical Society (SEAMS), Mathematical Society of the Philippines (MSP) and the Computing Society of the Philippines (CSP). He is also part of the Steering Committee of the Asian Conference in Membrane Computing.

(Photo available at : http://upd.edu.ph/~updinfo/gawad2015/images/guro1.jpg)

Title of the talk:

Spiking Neural P Systems: Insights and Challenges


SNP systems is a variant of P systems that is introduced by Ionesco, et al in the 2006.

Since its introduction different modifications have been added to the original model.  Each variant of the original SNP systems is shown to be potentially useful in attacking NP problems.  Among the newest addition to the SNP systems family is the so-called Spiking Neural P Systems with Structural Plasticity or SNPSP systems, which was introduced in the 2013.  In this variant, the biological feature known as structural plasticity is introduced as a property of SNP systems. Structural plasticity refers to synapse creation and synapse deletion. An initial topology of an SNP system is given, and synapses (connections) among other (possibly exponential number of ) neurons are created and deleted for computing use.  We report here some results obtained since the 2013 and provide some insights and possible directions to pursue in the future.


  1. Ionescu, M., Paun, Gh., Yokomori, T.: Spiking Neural P Systems. Fundamenta Informaticae, vol. 71(2,3), pp. 279-308 (2006)
  2. F.G. Cabarle, H. Adorna, N. Ibo. Spiking Neural P Systems with Structural Plasticity. 2nd Asian Conference on Membrane Computing, Chengdu, China, 4 to 7 Nov 2013.
  3. F.G.C. Cabarle, H.N. Adorna,  M.J. Perez-Jimenez, T. Song.: Spiking Neural P Systems with Structural Plasticity. Neural Computing and Applications. http://dx.doi.org/10.1007/s00521-015-1857-4 (2015)
  4. F.G.C. Cabarle, H.N. Adorna,  M.J. Perez-Jimenez.: Asynchronous Spiking Neural P Systems with Structural Plasticity. (accepted, full paper) 14th International Conference on Unconventional and Natural Computation (UCNC), 31 Aug – 04 Sep, 2015, Auckland, New Zealand and LNCS vol 9252, pp 132-143, doi:10.1007/978-3-319-21819-9_9 Springer International Publishing.
  5. F.G.C. Cabarle, H.N. Adorna,  M.J. Perez-Jimenez.:  Sequential Spiking Neural P Systems with Structural Plasticity Based on Max/Min Spike Number. Neural Computing and Applications. http://dx.doi.org/10.1007/s00521-015-1937-5 (2015)
  6. F.G.C. Cabarle, N.H.S. Hernandez, M.A. Martinez-del-Amor: Spiking Neural P Systems with Structural Plasticity: Attacking the Subset Sum Problem. Asian Conference on Membrane Computing 2015 (ACMC2015), 12 to 15 November, 2015, Anhui, China, and in LNCS vol 9504, pp. 106-116 (2015)




Associate Prof. Dr. D. Gnanaraj Thomas

Dr. Gnanaraj Thomas is an associate professor of Mathematics, Madras Christian College (MCC), Tambaram, Chennai. He obtained his M.Sc., M.Phil. and Ph.D. degrees in 1981, 1984 and 1996 respectively. He has 30 years of teaching and 25 years of research experiences. His field of research is ‘Formal Languages and Automata Theory and Applications’  with special reference to Picture Languages, Image Analysis, Learning Algorithms, String Rewriting Systems, Infinite words, Codes, Cryptosystems, Graph Grammars, DNA Computing, Membrane computing and logic. He has published more than 125 research papers in national and international journals of repute / Lecture Notes in Computer Science / Proceedings of Conferences. Selected publications can be found in DBLP: D. Gnanaraj Thomas. He is a co-editor of the book titled “Cryptography, Automata and Learning Theory”, Narosa publications, New Delhi, 2011. Seven of his students have obtained Ph.D. degrees under his guidance from the University of Madras. One student got Ph.D. from Sathyabama University and another student submitted her thesis to the University of Madras. Currently two other students are pursuing their Ph.D. work. He has completed 2 international research projects along with professors from University of Bordeaux I, France and University of ReUnion, France and three national projects with UGC(University Grants Commission) and DST(Department of Science and Technology), Government of India. He organized 5 conferences in MCC. He gave invited talks in conferences conducted by various Institutes in India. He was the program committee member of International Conferences INDOCRYPT (2004), Comp Image (2010). He has been associating International annual conferences with: BIC-TA from 2010 onwards and ACMC from 2014 onwards. He was a keynote speaker of two conferences BICTA 2010, UK and EMI 2013, UK. He is a member of Indian Association for Research in Computing Science, Cryptology Research Society of India and Kerala Mathematical Society. He is a reviewer of Mathematical reviews from 2009 onwards. In connection with research, he has visited many universities in countries like: Vietnam, Japan, France, Netherlands, USA, Canada, UK, Czech Republic, Finland, New Zealand, Australia and Singapore. He was a visiting professor of University of Nice in 2000 and Liverpool Hope University, UK in 2013 and May-June 2014. He has visited various premier institutes in India: TIFR (Mumbai), ISI (Kolkata), IIT (Kharagpur), IIT (Kanpur), IIT (Delhi), IISC (Bangalore). He is in the editorial board of two journals being published in India. He is currently Dean of Research and Developments, MCC. He has been teaching the subject “Formal Languages and Automata Theory” both in B.Sc. and M.Sc. programs, MCC for the past five years. He gave a series of lectures on “Formal Languages and Automata Theory” in National Centre for Advanced Research in Discrete Mathematics(n-CARDMATH), Kalasalingam University, Tamil nadu.

Title of the talk:

DNA Computing and Splicing P Systems


DNA Computing is an interesting area of research of natural computing [1,3]. The concept of splicing system involving new operation – splicing of strings is the outcome of the study in this area. Tom Head, introduced splicing systems which form a new class of generative systems that have been conceived as a generative formalism with the aim of analyzing the generative capacity of the recombinant behavior of DNA molecules in terms of formal languages [2]. The splicing systems constitute a mathematical model of biological systems containing double-stranded DNA and enzymes which cut and paste DNA. Gh. Paun and other researchers have obtained significant results about the computation power of these splicing systems and their variants. DNA molecules exist not only in linear form but also in circular form and hence an extension to circular strings of the splicing operation of linear strings has been investigated. Moreover, the splicing operation, applied to arrays and graphs, has also been considered.

Membrane Computing is a dynamic area of research of natural computing [4,5].  The computing model called P System was introduced by Gh. Paun, which abstracts from the structure and functionality of the living cell. Several variants of P systems have been considered in the literature with different motivations. Among these, Splicing P systems make use of splicing operation with strings as objects.

The aim of this talk is to give the audience, a glimpse of the basic notions of DNA Computing and Splicing P Systems along with recent results and developments with potential applications that have appeared in the literature leading to future directions of research.


  1. T. Head, Formal Language Theory and DNA: An analysis of the generative capacity of specific recombinant behaviours, Bulletin of Mathematical Biology, 49 (6), 737-759, 1987.
  2. G. Rozenberg and A. Salomaa, Handbook of Formal Languages, Volumes 1-3, Springer-Verlag, 1997.
  3. Gh. Paun, G. Rozenberg and A. Salomaa, DNA Computing: New Computing Paradigms, Springer, Berlin, 1998.
  4. Gh. Paun, Membrane Computing: An Introduction, Springer-Verlag, Berlin, Germany, 2002.
  5. Gh. Paun, G. Rosenberg and A. Salomaa (Eds.), The Oxford Handbook of Membrane Computing, Oxford University Press, 2010.




Dr. Ibrahim Venkat

Dr. Ibrahim Venkat is a Senior Academic at the School of Computer Sciences, Universiti Sains Malaysia. He received his Ph.D. from Heriot-Watt University, United Kingdom in 2010. His research interests include computer vision, uncertainty modeling and bio-inspired computing. He has contributed to some interesting articles in reputed journals (IJCV, IEEE and ACM…) and conferences. He has received numerous honors including the prestigious James Watt Scholarship; gold medals from Ministry of Science, Technology and Innovation, Malaysia and Korean invention association; IEEE best paper award and so on.

Title of the talk:

Biometric challenges and bio-inspired approaches


In this talk we would give a back-ground on the recent state-of-the-art on biometrics. We intend to present some interesting case studies on recognizing complex faces and gaits. A summary of our key contributions will be shared.  Finally, we will throw some potential ideas on the impact of  bio-inspired techniques towards the advancement of these biometrics.




Dr. Ali Maroosi

Dr. Ali Maroosi received his Ph.D. in Information Science and Technology  from National University of Malaysia (UKM). Now he is head of department of computer and electrical engineering at University of Torbat Heydarieh in Iran. His research interests are membrane computing, parallel computing, intelligence algorithms, and others. His main research in membrane computing includes parallel simulation of membrane systems on the GPU, Cluster computers and multi-core processors, Membrane computing for improving intelligence algorithms, membrane computing for intrusion detection, solving NP hard problems by membrane systems, Membrane computing for simulation systems biology; he has published papers in the abovementioned areas in refereed journals.

Title of the talk:

Parallel Simulation of membrane computing models


This talk reviews advances in parallel simulations of membrane computing models on parallel platforms such as Graphics processing units (GPUs) and multi core processors. Effects of communications between threads and thread blocks on the performance of the simulation are discussed. Different new solutions to improve performance of parallel simulation of membrane computing models will be presented. Parallel simulation of membrane inspired intelligent algorithms will be discussed in this talk also.