eScripts is currently undergoing an upgrade and heavy maintenance that may cause instability to the service and unsolicited emails going out to users in the upcoming few days. We apologize for any inconvenience that his may cause you and we appreciate your understanding as we continue to improve your experience.
If you encounter significant issues with eScripts, please let us know at publications@eai.eu.

Bioengineering and Bioinformatics

Editorial Board
Editors in Chief:
  • Nikolaos Bourbakis (false)
  • Nenad Filipovic (University of Kragujevac, Serbia)
Area Editors:
  • Luca Citi ()
  • Kostas Michalopoulos ()
  • Henrique Coelho Fernandes ()
  • Alexandros Karargyris (National Institutes of Health)
  • Iosif Papadakis Ktistakis ()
  • George Lambrou (National and Kapodistrian University of Athens)
  • George Spyrou ()
  • Kristen Beck ()
  • Michael Raymer ()
  • Ehsan Dehghan ()
  • Benny Lo (Imperial College London)
  • Fani Deligianni (School of Computing Science, Glasgow University)
  • Zoran Bosnic ()
  • Constantinos Pattichis (Department of Computer Science, University of Cyprus)
  • Michalis Zervakis (-)
  • Sameer Antani ()
  • Roman Snytsar ()
  • Ka-Lok Ng (Department of Bioinformatics and Medical Engineering, Asia University, Taiwan)
  • Katia Del Rio-Tsonis ()
  • Marko Robnik-Šikonja (University of Ljubljana)+ BioProf Marko Robnik-Sikonja (PhD in Computer Science and Informatics) is Head of Artificial Intelligence Chair at University of Ljubljana, Faculty of Computer and Information Science. His research interests span machine learning, data mining, natural language processing, network analytics, and application of data science techniques. His most notable scientific results are from the areas of feature evaluation, ensemble learning, network analysis, model explanation, generation of semi-artificial data with neural networks, big data analytics, and networks in natural language analysis. He is (co)author of over a hundred scientific publications that were cited more than 4,500 times. He is author and maintainer of three open-source R data mining packages. He participates in several national and international projects, regularly serves as programme committees member of top artificial intelligence and machine learning conferences, and is an editorial board member of five international journals.
  • Pothitos Pitychoutis ()
  • Tijana Sustersic (Faculty of Engineering, University of Kragujevac)+ BioTijana Šušteršič is a Teaching Assistant at the Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia. She finished M.Sc. and B.Sc. studies in Mechanical Engineering, department Applied Mechanics and Automatic Control with GPA 10.00/10.00 at the same Faculty and as the best student in generation. She is also employed as Research Assistant at the Bioengineering Research and Development Center (BioIRC), Kragujevac. She is the author and co-author of 18 papers presented at the international conferences and 10 papers published in peer review journals. She possesses Certificate of Proficiency in English (CPE) level C2 and Goethe Zertifikat level B2 according to the Common European Framework of Reference for Languages. She is currently working on problems of biomedical signal processing, machine learning algorithms, finite element modelling and implementation of different algorithms on Field Programmable Gate Array (FPGA).
Aims & Scope

EAI Endorsed Transactions on Bioengineering and Bioinformatics (BEBI), formerly EAI Endorsed Transactions on Ambient Systems, aims at building intelligent synergies and systems among Bioinformatics, Computational Biology, Bioengineering and Biomedicine these complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design. Research and development in these areas are impacting the science and technology in fields such as medicine, food production, forensics, etc. by advancing fundamental concepts in molecular biology, by helping us understand living organisms at multiple levels, by developing innovative implants and bio-prosthetics, and by improving tools and techniques for the detection, prevention and treatment of diseases. The BEBI will provide a common platform for the cross fertilization of ideas, and for shaping knowledge and scientific achievements by bridging these very important and complementary disciplines into an interactive and attractive forum.

Keywords
Bio-engineering, Bio-inspired networking, Nano-networks, Molecular communication, Signaling networks, Bio-inspired systems, Biological networks, Bio-inspired models