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Keynote Speakers

In order to deepen the communication in all the participants, ICCBB 2018 have invited professors from local Italy and all over the world to have speeches about Computational Biology and Bioinformatics and related fields.

Keynote Speaker I

Prof. (President) Eugenio Di Sciascio, Polytechnic University of Bari, Italy

Eugenio Di Sciascio received the "laurea" degree with honors from University of Bari, and the Ph.D. from Politecnico di Bari (Technical University of Bari). In 1992 he joined the University of Lecce as an assistant professor. He has been an associate professor at Technical University of Bari and since 2004, then, he is full professor of Information Technology Engineering. He is currently the Rettore (President) of Politecnico di Bari. He is scientific coordinator of the Information Systems Lab (SisInfLab) at Politecnico di Bari and leads the research group of SisInfLab. He has served as reviewer for several international journals and conferences; he has been in the board of international and national conferences. His research interests include knowledge representation and automated reasoning, with applications devoted to electronic commerce, Semantic Web and Web of Data, information retrieval and recommender systems, pervasive computing. He has been consultant on topics related to his research interests for both public agencies and privately owned companies. He has been responsible of national and European research projects.

Keynote Speaker II

Prof. Hesham H. Ali, University of Nebraska at Omaha, USA

Hesham H. Ali is a Professor of Computer Science and Lee and Wilma Seemann Distinguished Dean of the College of Information Science and Technology at the University of Nebraska at Omaha (UNO). He also serves as the director of the UNO Bioinformatics Core Facility that supports a large number of biomedical research projects in Nebraska. He has published numerous articles in various IT areas including scheduling, distributed systems, data analytics, wireless networks, and Bioinformatics. He has also published two books in scheduling and graph algorithms, and several book chapters in Bioinformatics. He has been serving as the PI or Co-PI of several projects funded by NSF, NIH and Nebraska Research Initiative in the areas of data analytics, wireless networks and Bioinformatics. He has also been leading a Research Group that focuses on developing innovative computational approaches to classify biological organisms and analyze big bioinformatics data. The research group is currently developing several next generation big data analytics tools for mining various types of large-scale biological and medical data. This includes the development of new graph theoretic models for assembling short reads obtained from high throughput instruments, as well as employing a novel correlation networks approach for analyzing large heterogeneous biological and health data associated with various biomedical research areas, particularly projects associated with aging and infectious diseases. He has also been leading two funded projects for developing secure and energy-aware wireless infrastructure to address tracking and monitoring problems in medical environments, particularly to study mobility profiling for healthcare research.

Speech Title: "Big Data Analytics in Biomedical Informatics: Opportunities and Challenges"

With the increasing number and sophistication of biomedical instruments and data generation devices, there is even more increasing pressure on researchers to develop advanced data analytics tools to extract useful knowledge out of the massive collected data. This includes advanced sequencing technologies responsible for the generation of huge amounts of bioinformatics data as well as wearable devices and Internet of Things systems responsible for collecting different types of health and mobility related data. The currently available data is not only massive in size but it also exhibits all the features of big data systems with a high degree of variability, veracity and velocity. How to leverage this raw data to advance biomedical research, particularly in dealing with outbreaks and infectious diseases, and improve health care, through personalized and targeted medicine, can be considered the most exciting scientific challenge of our generation. Developing innovative data integration and mining techniques along with clever parallel computational methods to implement them will be critical in efficiently meeting those challenges and take advantage of the potential opportunities. This talk present new big data analytics tools using graph modeling and network analysis along with how to effectively utilize High Performance Computing in implementing such tools. Case studies illustrating how proposed tools were used to analyze data associated with infectious diseases that led to new biological discoveries will also be presented.

Plenary Speaker I

Prof. Egils Stalidzans, University of Latvia, Latvia

Prof. Egils Stalidzans received the Dr.sc.ing. degree in information technology from the Riga Technical University, Latvia. He started research in the Biosystems group at Latvia University of Agriculture. He has contributed to European level coordination projects in fields of synthetic biology (ERASynBio) and systems biology (ERASysAPP). His interests cover different branches of biology. He is director of Institute of Microbiology and Biotechnology at University of Latvia, professor in the Department of Computer Systems at Latvia University of Agriculture and senior researcher at Latvian Biomedical Study and Research Centre.
His research interests include modeling and optimisation of metabolic, signaling and regulatory biochemical networks and performance analysis of optimisation methods. Several software products like Paint4Net toolbox for COBRA software and SpaceScanner wrapper for COPASI software have been developed.

Speech Title: "Implementation of Constraints in Kinetic and Stoichiometric Models to Improve Model Based Metabolism Design"

Abstract: The implementation of model-based designs in metabolic engineering and synthetic biology lags behind expectations because some designs fail. One of reasons is inclusion of just a part of the real world complexity in models. The models can not be as complex as the real world, but some knowledge can be simplified and taken into account in the form of optimization constraints to improve the feasibility of model-based designs of metabolic pathways in organisms. The fact that some constraints are not applied indicates a potential for design improvement by appropriate application of the constraints. Some constraints (mass balance, energy balance, steady state assumption) serve as a basis for many modelling approaches. Some other constraints (total enzyme activity constraint, homeostatic constraint) are known for decades but are frequently ignored in design development. Several new approaches of cellular analysis have made possible the application of constraints like cell size, surface, resource balance, etc.
A specific type of constraint is the total optimization potential (TOP) approach is applied to find minimal set of adjustable parameters necessary to reach requested fraction of the objective function value when all possible adjustable parameters are included in the combination.

Plenary Speaker II

Assoc. Prof. Michele Ruta, Polytechnic University of Bari, Italy

Michele Ruta is an associate Professor Affiliated to SisInfLab - Information Systems Research Group at the Department of Electric and Information Engineering at the Technical University of Bari. He graduated from the Bari Technical University in Electronic Engineering, discussing a thesis in Operating Systems entitled "Study and development of a remote control application over IP". In June 2007, he obtained his PhD in Information Engineering, discussing the thesis entitled "Knowledge Representation and Management Methods for Mobile Systems and Contexts". Michele Ruta's main research themes concern the application of techniques and technologies of knowledge representation to mobile systems, wireless networks and ubiquitous web. In particular, his research interests tend to the integration at an application level of techniques for the representation of knowledge with wireless protocols for ad-hoc mobile networks, in order to create a pervasive dynamic, collaborative and context-aware computing infrastructure, capable of supporting applications and services based on semantics. He is co-author of over 120 scientific publications at national and international conferences and international journals. He has participated in numerous national and international projects and has carried out with continuity teaching activities. He is currently professor of Operating Systems and Web languages and technologies.



Contact Us

The secretary office of ICCBB 2018 will collect contributions and finish daily organizing work. All paper review process will be completed by Program Committee and Technical Committee Members.

If you have any question, please feel free to contact our conference secretary.

Ms. Zero Jiang

Email: iccbb@cbees.net

Tel.: +852-3500-0137 (Hong Kong)/+86-28-86528465 (China)

Working Time: Monday-Friday, 9:30-18:00 (UTC/GMT+08:00)  

In order to deepen the communication in all the participants, ICCBB 2018 is welcomed experts and scholars from all over the world to join in the conference committee.


Important Dates

Paper Submission (Full Paper) Before Aug. 25, 2018
Notification of Acceptance Sept. 10, 2018
Final Paper Submission Sept. 20, 2018
Authors' Registration Sept. 20, 2018
Conference Dates October 11-12, 2018
One Day Visit and Tour October 13, 2018

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