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March 2016
- 82 participants
- 89 messages
Deadline extension | CENICS 2016 || July 24 - 28, 2016 - Nice, France
by Sandra Sendra
INVITATION:
=================
The submission deadline is March 23, 2016.
Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:
- CENICS 2016, The Ninth International Conference on Advances in Circuits, Electronics and Micro-electronics
Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org
=================
============== CENICS 2016 | Call for Papers ===============
CALL FOR PAPERS, TUTORIALS, PANELS
CENICS 2016, The Ninth International Conference on Advances in Circuits, Electronics and Micro-electronics
General page: http://www.iaria.org/conferences2016/CENICS16.html
Submission page: http://www.iaria.org/conferences2016/SubmitCENICS16.html
Event schedule: July 24 - 28, 2016 - Nice, France
Contributions:
- regular papers [in the proceedings, digital library]
- short papers (work in progress) [in the proceedings, digital library]
- ideas: two pages [in the proceedings, digital library]
- extended abstracts: two pages [in the proceedings, digital library]
- posters: two pages [in the proceedings, digital library]
- posters: slide only [slide-deck posted at www.iaria.org]
- presentations: slide only [slide-deck posted at www.iaria.org]
- demos: two pages [posted at www.iaria.org]
- doctoral forum submissions: [in the proceedings, digital library]
Proposals for:
- mini symposia: see http://www.iaria.org/symposium.html
- workshops: see http://www.iaria.org/workshop.html
- tutorials: [slide-deck posed on www.iaria.org]
- panels: [slide-deck posed on www.iaria.org]
Submission deadline: March 23, 2016
Sponsored by IARIA, www.iaria.org
Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org
Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html
Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org
The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.
All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.
Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html
CENICS 2016 Topics (for topics and submission details: see CfP on the site)
Call for Papers: http://www.iaria.org/conferences2016/CfPCENICS16.html
============================================================
Semiconductors and applications
Special semiconductors; Tunable bandgap semiconductors; Piezoelectricity; Polarization; Breakdown voltage; Superconductivity; Ferromagnetism; Biocompatibility; Chemical and thermal stability; Power amplification at very high frequencies; High temperature electronics; LEDs and lasers; Photodetectors; Transistors; Piezoelectric filters
Design, models and languages
Languages and models for specification and design of hardware; Robust, reliable and/or safe embedded electronics; Circuits/hardware description languages; Standards related to design languages; Processor and memory design; Embedded system design; VHDL-related standards; Electronic circuits modelling; Automatic generation of models; Quantitative analysis of models; Distributed CAD systems; Collaborative design based on Internet and WWW; Electronic systems design based on WWW; System- and high-level synthesis, HW/SW codesign
Signal processing circuits
Signal processing; High-speed signal processing; Multi-scale signal processing and imaging; Asynchronous circuits and systems; High frequency processing; Power and signal amplifiers; Parallel processing circuits; Equalization processing; Compression, transcoding, and applied signal processing
Arithmetic computational circuits
Operational arithmetic circuits; Basic arithmetic operations; Modular operations; Decimal-floating point operations; Multiple-precision operations; Squaring and exponentiation; Polynomial evaluations; Periodic functions; Operational approximations; Parallel decimal operations
Microelectronics
Components and circuits for communications; HMIC and MMIC design; Micro-electronics; Nano-electronics; Lasers and mini-lasers; Miniature devices; Low power electronics; Nano-scale electronics materials
Electronics technologies
Organic optoelectronic; Implantable electronics; Wearable electronics; Low power electronics; Electronic microarray technology and applications; RF and Microwave
Special circuits
Programmable circuits; Design of reconfigurable micro-chips; VLSI circuits design; Low-noise circuits; Digital modulators; Micro-sensors; Micro-antennas; Thermal circuits; Reconfigurable circuits; Dynamically reconfigurable processors; Oscillators; VCOs and phased-array transmitters
Consumer electronics
Home-oriented electronics; Biometric circuits; Home gateway; Home theater circuitry; Game systems; Interactive and directed programming electronics; Advanced DVD and CD; Interactive and directed programming electronics
Application-oriented electronics
Navigation electronics; Industrial electronics; Automotive electronics; Application-oriented electronics; Telemedicine and eHealth electronics; Biochip design for health science applications; Bio-systems and miniature instruments; Biosensors and biosensor networks; Industrial measurement electronics; Industrial control electronics; Energy distribution electronics; Energy saving and conversion circuits; Indoor and outdoor light control systems; Power electronics; Avionics electronics; Railways electronics; Vehicular electronics; Embedded electronics; Process industry electronics
------------------------
CENICS 2016 Committee: http://www.iaria.org/conferences2016/ComCENICS16.html
CENICS Advisory Committee
Vladimir Privman, Clarkson University - Potsdam, USA
Sergey Y. Yurish, Technical University of Catalonia (UPC-Barcelona), Spain
Martin Horauer, University of Applied Sciences Technikum Wien, Austria
Adrian Muscat, University of Malta, Malta
CENICS 2016 Research/Industry Chairs
Ravi M. Yadahalli, S G Balekundri Institute of Technology, Belagavi, Karnataka, India
CENICS 2016 Industry Liaison Chairs
Falk Salewski, Muenster University of Applied Sciences, Germany
CENICS 2016 Publicity Chair
Sandra Sendra Compte, Universidad Polit�cnica de Valencia, Spain
CENICS 2016 Special Area Chairs
Formalisms
Peeter Ellervee, Tallinn University of Technology, Estonia
Application-oriented
Josu Etxaniz Mara�on, University of the Basque Country / Universidad del Pa�s Vasco / Euskal Herriko Unibertsitatea - Bilbao, Spain
Sensors
Yulong Zhao, Xi'an Jiaotong University, China
==============
March 4, 2016
Postdoctoral position in Theoretical Neuroscience
by Yashar Ahmadian
POSITION:
Yashar Ahmadian's Theoretical Neuroscience group at University of Oregon,
in Eugene, Oregon, is seeking a highly motivated postdoctoral researcher to
work on developing theoretical models of information processing in animal
brains and statistical methods for analyzing high-dimensional neural and
behavioral datasets. The position is available immediately, and provides a
competitive annual salary and benefits.
RESEARCH TOPIC: The driving questions behind our research are: How do large
neuronal populations, particularly in sensory cerebral cortex, process
inputs and adapt to their statistical structure on multiple time scales?
What is the role of these networks' intrinsic dynamics in sensory
processing, and the role of horizontal and feedback connections in shaping
this dynamics? What general computations can be performed by partially
random connectivity, not designed or learned for specific tasks? In the
pursuit of these aims we use techniques and concepts from statistical
physics, machine learning, random matrix theory, and statistics. We will
also develop new statistical methods for uncovering structure in
high-dimensional neural data (Calcium-imaging, multi-electrode recordings,
EEG). We collaborate closely with experimental labs in systems and
cognitive neuroscience in the Institute of Neuroscience at University of
Oregon, and some of the projects will involve hands on analysis of
experimental data. For more information, please visit:
http://uoneuro.uoregon.edu/ahmadian/index.php
http://www.neuro.uoregon.edu/
ENVIRONMENT: Our group is young and dynamic. We are affiliated with the
Biology and Mathematics departments and the Institute of Neuroscience at
the University of Oregon. The Institute of Neuroscience is a closely knit
community with lots of cross-talk between computational, systems and
cognitive neuroscientists. Eugene is a culturally diverse city, with a
beautiful and pristine surrounding geography. Situated in the Willamette
valley, we are minutes away from the lush Oregon rain forests and hot
springs, an hour away from the Cascade mountain range, and also an hour
from the Pacific ocean.
QUALIFICATIONS: selection criteria include strong mathematical/analytical
skills, programming experience, familiarity with computational neuroscience
and/or machine learning, and past research accomplishments. Applicants must
have a Ph.D. in a quantitative discipline, e.g. physics, engineering, math,
machine learning or statistics. Previous experience with neurobiology or a
Ph.D. in computational neuroscience is advantageous but not required.
APPLICATION: Applicants should submit a statement of research interests
(1-2 pages), a current CV, and the names and contacts of 2-3 references.
Questions and application material should be emailed to Yashar Ahmadian
(yashar(at)uoregon.edu) Application review will begin on March 4 and
continue until the position is filled.
March 4, 2016
Human Brain Project workshop on Neurorobotics @ Biorob2016 - Call for Contributions
by Falotico Egidio
Dear colleagues (with advance apologies for any
cross-postings),
We invite submissions for oral or poster presentations at
the Huma Brain Project workshop on Neurorobotics that
will be organized on June 26th, at the sixth IEEE
RAS/EMBS International Conference on Biomedical Robotics
and Biomechatronics BioRob 2016, in Singapore.
http://sssa.bioroboticsinstitute.it/workshops/biorob2016
Prospective authors should submit the extended abstract
(one A4 page, in PDF format) by March 30th, 2016 .
Notification of acceptance will be received no later than
April 8th.
For submission please refer to the following link:
http://sssa.bioroboticsinstitute.it/workshops/biorob2016/HBPPaperSubmission…
ABSTRACT
Neurorobotics is already an established branch of robotics
that in the last years, taking advantage from an increase
in the accessibility of existing neuroscientific data and
knowledge, allowed building robotic systems that can
exhibit robustness, adaptability and several features of
the human intelligence. Reciprocally, significant
developments in robotics and machine learning put robotics
in the service of neuroscience as experimental platforms
or test-beds of brain models.
In the last years, advanced insights and the increasing
availability of cheap processing power has led
Neurorobotics to follow two tracks of research with
different goals and methods:
The first track focuses on neuro-inspired computing
paradigms that mimic nervous system functions based on
Spiking Neural Networks. This does not only foster our
understanding of biological systems but also contributes
to future technical applications in artificial systems. In
the past, limited processing power and the lack of
appropriate models and tools shifted the focus of research
far away from biological neural networks. Recently a
number of projects like the US BRAIN Initiative and the
Human Brain Project have taken up the challenge by
combining efforts from the fields of neuroscience and
computer science to enable the large scale modeling and
simulation of biological neural networks with billions of
spiking neurons.
The second track, extending the theory of classical
artificial neural networks, mostly relies on simpler
neuron models but integrate them in novel network
architectures. These networks are extensively used in
robotics, allowing mimicking the function of some brain
areas in order to reproduce complex behaviors with a
reduced computational cost.
This workshop seeks to present and discuss advances in
neuroscientific models for cognition and new perspectives
in control for robotic applications based on both
biologically-inspired and artificial neural networks. The
final goal is to bring together researchers from both
robotics and neuroscience in order to explore how to
maximize the progress at the multidisciplinary frontier
evaluating the advantages of both tracks of the
Neurorobotics research.
TOPICS OF INTEREST
- Bio-inspired sensory-motor coordination and adaptive
control
- Active perception
- Neurocontrollers
- Self-organization and sensory-motor mapping
- Predictive behaviour
- Bio-inspired learning robots
- Robot imitation and learning by demonstration
- Memory-based algorithms
- Cognitive behaviours in robots
- Reservoir computing
- Deep learning
- Neuromorphic computing for robotics
KEYNOTE SPEAKERS
Giorgio Metta (Italian Institute of Technology, Italy) -
The use of motor invariants can improve action
discrimination
Tomohiro Shibata (Kyushu Institute of Technology, Japan)
Functional Robotic Assistance of Human Motor Learning
Ruediger Dillman (Research Center for Information
Technology, Germany) - Modelling Cortical Sensor-Motor
Control Functionalities with a Spiking Neural-Robot
Control Simulator
Sunil L. Kukreja (National University of Singapore,
Singapore) Integration of Neuromorphic Tactile
Perception with Haptic Feedback in a Virtual and Augmented
Reality World for Advanced Robotic Control
Best Regards,
Egidio Falotico, Cecilia Laschi (The BioRobotics
Institite,Scuola Superiore SantAnna , Italy)
Florian Röhrbein, Florian Walter (Technical University of
Munich, Germany)
Organizers
March 3, 2016
Faculty position in Image and Vision Computing at Edinburgh
by Barbara Webb
Applications are invited for a Lecturer to join the Institute of
Perception, Action and Behaviour, part of the School of Informatics, at
The University of Edinburgh. For an exceptional candidate, appointment to
the position of Senior Lecturer or Reader will be considered.
Closing date for applications, 21st March 2016, via form available here:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.disp…
The Institute carries out research in Machine Vision, Graphics, and
Robotics. It also has substantial cross links to the Institute of Adaptive
and Neural Computation. Candidates with an interest in the computational
neuroscience of vision, machine learning, or the application of computer
vision to robotics are particularly encouraged to apply; but applications
in any area of Image and Vision computing will be considered.
The School of Informatics plays a leading role in the EPRSC Centres for
Doctoral Training in Robotics and Autonomous Systems, and in Data Science,
with opportunities for the appointee to supervise PhD students from the
Centres (and from other sources). In partnership with Heriot Watt
University, we have recently established the Edinburgh Centre for
Robotics, with substantial infrastructure funding for robotic platforms
and supporting facilities. The University of Edinburgh is also one of the
five joint venture partner universities in the UK's Alan Turing Institute
for Data Science; this gives rise to opportunities to interact with PhD
students, research fellows and senior researchers within the Turing
Institute. In addition, there are many opportunities to interact with
other parts of the University and beyond in order to further the
candidate's research agenda.
The successful candidate will have a PhD; experience as an established
researcher in Image and Vision Computing; enthusiasm to undertake original
research including leading a research group; ability to engage with
undergraduate and postgraduate teaching and academic supervision; ability
to be involved in enhancing eLearning and on-line teaching initiatives.
The post is full time and open ended and is available from 4th January
2017.
Informal enquiries should be directed to Professor Barbara Webb, Director
of the Institute for Perception, Action and Behaviour: B.Webb(a)ed.ac.uk
--
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
March 3, 2016
postdoc position in reinforcement learning & sleep
by Benoît Girard
Position description
The goal of the post-doc will be to investigate the bridges to be
established between the alternation of online & offline processes in
reinforcement learning, and the replay processes observed in sleep and
resting conditions of animals. The developed models will aim at
simulating behavioral and neurophysiological data.
We are looking for highly motivated candidates with a strong academic
record. A background in computational neuroscience or machine learning
is required. We specifically seek candidates with significant experience
in reinforcement learning. Programming skills in modern C++ and python
are expected.
Context
The DREAM European project (http://www.robotsthatdream.eu/) is focused
on thebootstrap of a developmental process allowing a robot to learn
about its environment and the objects it contains. DREAM is a project of
the FET call (Future and Emerging Technologies) on « Knowing, doing,
being: cognition beyond problem solving ». The position proposed here
contributes to the DREAM workpackage dedicated to cross fertilization
with neuroscience. Thanks to active collaborations with
experimentalists, there will be access to fresh animal data.
The position will be located in the Institute of Intelligent Systems and
Robotics (ISIR, http://www.isir.upmc.fr) Paris, France. ISIR belongs to
the UPMC-Sorbonne Universités which is among the top ranked French
universities. ISIR is located in the center of Paris, at walking
distance from other academic institutions (Ecole Normale Supérieure, La
Sorbonne, Collège de France, etc.), and from famous monuments (Notre
Dame, Le Panthéon, etc.). Speaking or understanding french is not required.
To apply
Applicants should send a CV, letter of motivation (max 2 pages), and 2-3
letters of reference via e-mail to benoit.girard(a)upmc.fr, with [DREAM
post-doc] in the subject of the mail. Review of applicants will begin
immediately, and will continue until the position is filled. The
earliest start date is July 2016.
Fiche_poste_post-doc_WP5.pages
March 3, 2016
Open positions in research, data science, and machine learning at Spotify
by Zachary Nichols
Spotify is seeking talented researchers and engineers to work on a variety
of questions in an open, collaborative environment. Positions include data
scientists and engineers with strong software skills, as well as
individuals with some software ability who are strong at research design,
statistical hypothesis testing, or who have strong domain expertise in
relevant areas (such as the psychophysics of audio perception or behavioral
modeling).
Your work will involve novel research in areas like content recommendation,
personalization, optimization, predictive user modeling, and large-scale
experiments. You will work with a diverse team to bring research ideas from
initial hypotheses, to well-designed experiments, to implementations that
can scale to millions of people and billions of data points. Above all,
your work will impact the way the world experiences music.
The open positions span this process, including:
*Research Lead* (New York, NY)
*Data Scientist* (New York, NY and Stockholm, Sweden)
*Machine Learning Engineer* (New York, NY and Boston, MA)
*Data Engineer* (New York, NY and Boston, MA)
We also have summer internships available in New York and Boston for
undergraduate or graduate students.
For more information, or to apply, please see www.spotify.com/jobs/
We are an equal opportunity employer and value diversity at our company. We
do not discriminate on the basis of race, religion, color, national origin,
gender, sexual orientation, age, marital status, veteran status, or
disability status.
March 2, 2016
Post-Doc Position Bioinformatics in Marseille, France: Large-scale brain modeling and machine learning Neurodegenerative Diseases
by OTTEN Lisa
Bioinformatician Neurodegenerative diseases post-Doc position
Large-scale brain modeling and machine learning
A rare 2-year postdoc position opportunity for a creative & innovative
Bioinformatician with a desire to play a key role in the exciting field of
neurodegenerative diseases and aging. The Bioinformatician will be
based in Marseille (Timone University Hospital Campus) and will have
the exciting challenge of combining data mining & modelling algorithms
that will direct the future of neurodegenerative disorders treatments. This
is a role operating on the forefront of science that will reward the individual
through job satisfaction, both career & personal development opportunities.
The position is for 1 year starting now, renewable for another year and with a
salary commensurate with experience.
Working with a multidisciplinary team of clinicians, imaging specialists,
biologists, engineers, physicists and software engineers, the Bioinformatician
will work on parameter inference for connectome-based large-scale brain
network models (see The Virtual Brain http://www.thevirtualbrain.org<http://www.thevirtualbrain.org/>)
(leader V Jirsa) applied to clinical brain imaging data (EEG, MEG, fMRI)
(leader M Guye) and systems biology (leader C Nguyen). In particular,
the project will involve the application and evaluation of common
Bayesian estimation techniques such as Markov-Chain Monte-Carlo
and variational schemes to high-dimensional time-series models of brain
activity. Finally, the on-site high-performance cluster will be used to
evaluate models on large datasets comprising groups of patients.
Minimum Qualifications & Experience:
Doctoral degree in the field of computer science, physics, engineering
or related fields, ideally with specialization in bio-informatics or
computational neuroscience. Good communication skills in English,
both oral and written. In particular candidates should be capable of
presenting technical information and data to non-experts in a clear and
concise manner
Desirable Qualifications & Experience:
Candidates should be comfortable working with machine learning
techniques and programming in a data-friendly language such as
MATLAB, Python, R, Julia etc. Experience with nonlinear dynamical
systems and signal processing, which play a large role in model
construction and preprocessing, are valued but not required.
The project is proposed by the Federation Hospitalo-Universitaire
DHUNE and funded by Aix-Marseille University A*MIDEX.
To learn more about this fascinating role send your CV and covering letter to:
Prof Olivier Blin, DHUNE Coordination, Clinical Pharmacology,
Timone Hospital, 13385 Marseille Cedex 5. Email: olivier.blin(a)ap-hm.fr
Kind regards,
Lisa Otten
March 2, 2016
Call for Submissions: Doctoral Symposium on Foundations and Applications of Self-* Systems (FAS*W)
by Jan-Philipp Steghöfer
****************************************************************************
FAS*W 2016 (SASO and ICCAC)
Call For Doctoral Symposium Submissions
Doctoral Symposium on Foundations and Applications of Self-* Systems (FAS*W)
Augsburg, Germany, September 12 & 16, 2016
http://fasstar2016.informatik.uni-augsburg.de/
http://iccac2016.se.rit.edu/
http://uni-augsburg.de/saso2016
@SASO2016Conf
****************************************************************************
Foundations and Applications of Self* Systems (FAS*) is the umbrella for two closely related but independent conferences, the International Conference on Self-Adaptive and Self-Organizing Systems (SASO) and the International Conference on Cloud and Autonomic Computing (ICCAC). The FAS* Doctoral Symposium provides an international forum for PhD Students working in research areas addressed by FAS*. In this forum, PhD students will get unique opportunities to subject their research to the scrutiny of external experts, gain experience in the presentation of research, connect to peers and experts addressing similar problems, and get advice from a panel of internationally leading researchers.
Different from the technical tracks of the conference, the FAS* Doctoral Symposium focuses on the specific needs of young researchers at the beginning of their career. As such, particular emphasis will be placed on a critical and constructive feedback that shall help participants to successfully conclude their PhD studies.
PhD students working in any area addressed by the FAS* conferences are invited to submit a Doctoral Symposium paper in which they describe the key motivation and objectives of their research project, and reflect on the methodology as well as the current status of their PhD studies. Complementing the thematic focus of FAS*, we particularly solicit contributions in the following areas:
* Engineering of self-organizing and self-adaptive systems
We solicit theoretical and applied works addressing fundamental principles underlying self-organizing systems, as well as methods that allow to quantify, model and reproduce the self-* characteristics of complex systems in biological, social, physical and technical systems. Examples include mechanisms underlying distributed decision- making and collective intelligence, software engineering challenges in self-adaptive systems, as well as general application of self-* principles in the engineering of technical systems.
* Complex Cyber-physical and socio-technical systems
We welcome contributions that apply self-* principles to address challenges in the design of complex cyber- physical and socio-technical systems. Particular examples include smart grid infrastructures, sensor networks, opportunistic networking scenarios, as well as large-scale social information systems. Works addressing challenges such as the security, privacy and anonymity of users, or mechanisms to prevent censorship, manipulation or unfairness in socio-technical systems are especially welcome. We further solicit works on socio- technical and socio-economic challenges in P2P systems, such as the design of incentive, trust and reputation mechanisms.
* Self-* approaches in Massive-Scale Decentralized Systems
Works in this area use self-* approaches to address challenges in the design and operation of massive scale decentralized systems. Examples include Peer-to-Peer technologies, as well as overlay topology management schemes. We are further interested in decentralized data mining and machine learning approaches, as well as decentralized approaches to monitor, model and adapt distributed systems. Works using self-* principles to address the inherent challenges in the design of massive-scale systems with unreliable and heterogeneous are of particular interest.
* Autonomic Computing Systems
Here we are interested in all works addressing the self-configuration, self-optimization and self-adaptation of cloud computing services, data centers and general distributed computing systems. Examples for questions addressed in this area include the monitoring and modeling of cloud services, the design of efficient resource allocation mechanisms, the application of data mining and machine learning techniques to analyze and predict the behavior of technical systems, as well as the characterization of distributed computing workloads.
* Application of Self-* in Robotics and Spatial Computing
Finally, we welcome contributions using self-* principles in the areas of robotics, swarm robotics and spatial computing. Here, examples for works of interest include environmental modeling and perception, machine vision, and self-adaptation mechanisms in robotics, distributed coordination and collective intelligence in multi- robot systems, as well as novel paradigms for the programming of autonomous, spatially distributed entities.
---------------------------
Submission Instructions
---------------------------
Submissions should have a length of max. six pages and be formatted according to the IEEE Computer Society Press proceedings style guide. Authors should submit their papers using the EasyChair installation of the main conference, which is available at:
https://easychair.org/conferences/?conf=saso2016
Please note that only single-author submissions are accepted, which focus on the topic of the doctoral work. The name of the supervisor (« supervised by ... ») should be clearly marked below the author’s name in the paper. Submissions should further adhere to the following structure:
* Motivation: motivate the open problem that you want to address and briefly summarize existing approaches along with their deficiencies.
* Objectives: describe the key objectives of your PhD project and argue how achieving them will solve the open problem outlined in the motivation.
* Methodology: outline what methodology you will adopt to meet the objectives of your project. Clearly state on what existing works your work will build.
* Research Plan: describe what preliminary results – if any – you have already achieved and summarize your plans for future work. Please add a rough schedule that allows to judge whether your research plan is feasible.
Authors of accepted papers shall prepare a final, camera ready version of the paper, taking into account all feedback from reviewers, and formatted according to the IEEE Computer Society Press proceedings style guide. Doctoral Symposium papers will be advertised in the final program, and will be submitted to IEEE Xplore as part of the SASO proceedings. Papers will also be made available in the IEEE Digital Library.
--------------------
Review Process
--------------------
Each submission will be reviewed by at least two Doctoral Symposium experts (see list below) that cover the different areas of interest of the conference. Submissions will be evaluated based on their relevance to FAS*, the motivation and quality of the proposed research, as well as the suitability of the chosen methodology.
Authors of accepted papers will have different opportunities to present their project at the conference. Besides a full presentation during the PhD Symposium session, an “Elevator Pitch Session” will be organized during the main conference, where authors get the chance to briefly showcase their research. In addition, the Best Doctoral Symposium paper will be selected and the award will be presented during the main conference. Finally, selected authors will have the additional chance to present their work via a poster in the poster session of the main conference.
---------------------------
Invited Talk
---------------------------
To be announced
---------------------------
Doctoral Symposium Experts
---------------------------
* Ozalp Babaoglu – University of Bologna, IT
* Jacob Beal – BBN Technologies, USA
* Kurt Geihs – Universitaet Kassel, DE
* Tom Holvoet – KU Leuven, BE
* Manish Parashar – Rutgers University, USA
* Jeremy Pitt – Imperial College London, UK
* Mark Jelasity – University of Szeged, HU
* Burkhard Stiller – University of Zurich, CH
* Giuseppe Valetto – Fondazione Bruno Kessler, Trento, IT
* Salim Hariri – University of Arizona, USA
* Simon Dobson – University of St Andrews, Scotland, UK
* Antonio Bucchiarone - Fondazione Bruno Kessler, Trento, IT
To be completed
---------------------------
Important Dates
---------------------------
Abstract Submission due: May 29, 2016
Paper Submission due: June 12, 2016
Notifications due: July 10, 2016
Camera ready version due: July 24, 2016
Conference date: September 12-16, 2016
---------------------------
Contact Information
---------------------------
For any further information, please contact the Doctoral Symposium chairs:
Pradeep Murukannaiah
Department of Computer Scienc
North Carolina State University
Raleigh, NC, 27606, USA
pmuruka(a)ncsu.edu
http://www4.ncsu.edu/~pmuruka/
Dr. Ingo Scholtes
Chair of Systems Design
ETH Zurich
CH-8092 Zurich
Switzerland
ischoltes(a)ethz.ch
http://www.ingoscholtes.net
March 1, 2016
SSBSS 2016 Call for Oral Presentations/Posters: 8-14 July 2016, Volterra (Pisa) Tuscany, Italy - 3rd Int. Synthetic & Systems Biology Summer School - Application DEADLINE: March 31, 2016
by Giuseppe Nicosia
* Our sincere apologies if you receive multiple copies of this announcement *
Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for SSBSS 2016. Together we will make SSBSS a great event!
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3rd International Synthetic and Systems Biology Summer School - SSBSS 2016,
8-14 July 2016, Volterra (Pisa) - Tuscany, Italy
ssbss.school(a)gmail.com
http://www.taosciences.it/ssbss/
https://www.facebook.com/ssbss.school/
https://twitter.com/SchoolSsbss
The Synthetic and Systems Biology Summer School (SSBSS) is a full-immersion five-day residential summer school at the Volterra Learning Center (Pisa - Tuscany, Italy) on cutting-edge advances in systems and synthetic biology with lectures delivered by world-renowned experts. The school provides a stimulating environment for students (from Master students to PhD students), Post-Docs, early career researches, academics and industry leaders. Participants will also have the chance to present their results (with Oral Talks and Posters), and to interact with their peers, in a friendly and constructive environment.
SSBSS 2016 DEADLINES:
Application: March 31, 2016
Notification Acceptance: April 10, 2016
Oral Presentation/Poster Submission: March 31, 2016
Notification of Decision for Oral/Poster Presentation: April 10, 2016
http://www.taosciences.it/ssbss/#application-form
SPEAKERS
* Yaakov (Kobi) Benenson, Synthetic Biology Group@Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
Lecture 1: The practice of mammalian synthetic biology
Lecture 2: Mammalian cell classifiers
* Leonidas Bleris, Bioengineering Department, The University of Texas at Dallas, USA
Lecture 1: Genome Editing Technologies and Therapeutic Modalities
Lecture 2: Benchmark Circuits and Topological Properties
* Domitilla Del Vecchio, Department of Mechanical Engineering, MIT, USA
Lecture 1: Modularity in genetic circuits: Dream versus Reality
Lecture 2: Engineering Modularity in Genetic Circuits
* Diego Di Bernardo, Dept of Chemical Materials and Industrial Production Engineering University of Naples "Federico II", Naples, Italy
Lecture 1: "Engineering and Control of Biological Circuits in Yeast"
Lecture 2: "Engineering and Control of Biological Circuits in Mammalian Cells
* Barbara Di Ventura, Synthetic Biology Group, BioQuant/DKFZ, Heidelberg, Germany
Lecture 1: Using blue light to control protein localization in living mammalian cells
Lecture 2: Using split inteins for protein engineering in living cells
* J. Gootenberg, Feng Zhang's Group, Department of Systems Biology, Harvard Medical School, Harvard University, USA
Lectures: TBA
* Markus Herrgard, Technical University of Denmark - Biosustain, Novo Nordisk Foundation Center for Biosustainability, Denmark
Lecture 1: "Developing an Integrated Cell Factory Design Tool"
Lecture 2: "Using Automated Laboratory Evolution to Optimize Cell Factories”
* Shalev Itzkovitz, Department of Molecular Cell Biology, Weizmann Institute of Science, Israel
Lecture 1: "Single Molecule Approaches for Studying Gene Expression in Intact Mammalian Tissues"
Lecture 2: "Systems Biology of Stem Cell-Maintained Tissues”
* Francesco Ricci, Dipartimento di Scienze e Tecnologie Chimiche, University of Rome Tor Vergata, Rome, Italy
Lecture 1: "DNA Nanotechnology Tools and Reactions for Synthetic Biology"
Lecture 2: "Nature-inspired DNA-based Nanodevices
More speakers will be announced soon!
INDUSTRIAL PANEL
* Speakers TBA
Next Generation Sequencing Workshop – Afternoon July 12th, 2016
* “How fast can we align sequences?”
Mario Guarracino, CNR, Italy
* “Advanced Bioinformatics tools for NGS” – TBC
Luca Zammataro, Yale University, USA
Tutorials:
* “Detection and analysis of contaminating sequences in NGS sequencing data”
Ilaria Granata, CNR, Italy
* “Detection and interpretation of circular RNAs in RNA-seq experiments”
Parijat Tripathi, CNR, Italy
Scientific Committee
Jole Costanza, Italian Institute of Technology, Italy
Diego Di Bernardo, TeleThon Institute of Genetics & Medicine - TIGEM and University of Napoli "Federico II", Italy
Barbara Di Camillo, University of Padova, Italy
Simone Furini, University of Siena, Italy
Emanuele Domenico Giordano, University of Bologna, Italy
Massimo Gulisano, University of Catania, Italy
Mario Guarracino, ICAR-CNR, Italy
Markus Herrgard, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Denmark
Paolo Magni, University of Pavia, Italy
Giuseppe Narzisi, New York Genome Center, USA
Giuseppe Nicosia, University of Catania, Italy
Wieslaw Nowak, Nicholas Copernicus University, Poland
Danilo Porro, University of Milano Bicocca, Italy
Francesco Ricci, University of Rome "Tor Vergata", Italy
Gianna Maria Toffolo, University of Padova, Italy
Renato Umeton, MIT, USA
Luca Zammataro, Yale University, USA
School Directors
Diego Di Bernardo, TeleThon Institute of Genetics & Medicine - TIGEM and University of Napoli "Federico II", Italy
Giuseppe Nicosia, University of Catania, Italy
Luca Zammataro, Yale University, USA
See you in Tuscany in July!
The Organizing Committee.
ssbss.school(a)gmail.com
http://www.taosciences.it/ssbss/
https://www.facebook.com/ssbss.school/
https://twitter.com/SchoolSsbss
* Apologies for multiple copies. Please forward to anybody who might be interested *
* Other Events in Tuscany: *
2nd International Workshop on Machine learning, Optimization and big Data - MOD 2016
An Interdisciplinary Workshop: Machine Learning, Optimization and Data Science without Borders, Volterra (Pisa) -Tuscany, August 26-29, 2016
http://www.taosciences.it/mod/
modworkshop2016(a)gmail.com
CALL FOR PAPERS
Paper submission deadline: March 31, 2016
http://www.taosciences.it/mod/call-for-papers/
https://easychair.org/conferences/?conf=mod2016
KEYNOTE SPEAKERS
+ Nello Cristianini, Bristol University, UK
+ George Michailidis, University of Florida, USA
+ Stephen H. Muggleton, Imperial College London, UK
+ Panos Pardalos, University of Florida, USA
Other Keynote Speakers will be announced soon
POST-PROCEEDINGS by Lecture Notes in Computer Science - Springer
JOURNAL SPECIAL ISSUE
Computational Optimization and Applications Journal - Springer
--
Giuseppe Nicosia, Ph.D.
Associate Professor of Computer Engineering
Dept of Mathematics & Computer Science
University of Catania
Viale A. Doria, 6 - 95125 Catania, Italy
P +39 095 7383048
nicosia(a)dmi.unict.it
http://www.dmi.unict.it/nicosia
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3rd International Synthetic & Systems Biology Summer School - SSBSS 2016
* Biology meets Computer Science & Engineering *
July 8-14, 2016 - Volterra (Pisa), Tuscany, Italy
http://www.taosciences.it/ssbss/
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2nd International Workshop on Machine learning, Optimization & big Data - MOD 2016
August 26-29, 2016 - Volterra (Pisa), Tuscany, Italy
http://www.taosciences.it/mod/
==================================================================
March 1, 2016