[UAI] Call for Papers - MICRADS 2019, Rio de Janeiro, Brazil | Deadline: December 28

[Maria]

* Proceedings by Springer



--

MICRADS´19 - The 2019 Multidisciplinary International Conference of Research 
Applied to Defense and Security

Rio de Janeiro, Brazil, 8 - 10 May 2019

http://www.micrads.org/ 

--



Scope

MICRADS´19 - The 2019 Multidisciplinary International Conference of Research 
Applied to Defense and Security, to be held at Rio de Janeiro, Brazil, 8 - 10 
May 2019, is an international forum for researchers and practitioners to 
present and discuss the most recent innovations, trends, results, experiences 
and concerns in the several perspectives of Defense and Security.

We are pleased to invite you to submit your papers to MICRADS´19. They can be 
written in English, Spanish or Portuguese. All submissions will be reviewed on 
the basis of relevance, originality, importance and clarity.



Topics

Submitted papers should be related with one or more of the main themes proposed 
for the Conference:



Area A: Systems, Communication and Defense

A1) Information and Communication Technology in Education
A2) Simulation and computer vision in military applications
A3) Analysis and Signal Processing
A4) Cybersecurity and Cyberdefense
A5) Computer Networks, Mobility and Pervasive Systems



Area B: Strategy and political-administrative vision in Defense

B1) Safety and Maritime Protection
B2) Strategy, Geopolitics and Oceanopolitics
B3) Planning, economy and logistics applied to Defense
B4) Leadership and e-leadership
B5) Military Marketing
B6) Health informatics in military applications



Area C: Engineering and technologies applied to Defense

C1) Wearable Technology and Assistance Devices
C2) Military Naval Engineering
C3) Weapons and Combat Systems
C4) Chemical, Biological and Nuclear Defense
C5) Defense Engineering (General)



Submission and Decision

Submitted papers written in English (until 10-page limit) must comply with the 
format of Smart Innovation, Systems and Technologies series (see Instructions 
for Authors at Springer Website 
),
 must not have been published before, not be under review for any other 
conference or publication and not include any information leading to the 
authors’ identification. Therefore, the authors’ names, affiliations and 
e-mails should not be included in the version for evaluation by the Scientific 
Committee. This information should only be included in the camera-ready 
version, saved in Word or Latex format and also in PDF format. These files must 
be accompanied by the Consent to Publish form 
 filled out, in a ZIP file, and uploaded at 
the conference management system.

Submitted papers written in Spanish or Portuguese (until 15-page limit) must 
comply with the format of RISTI  - Revista Ibérica de 
Sistemas e Tecnologias de Informação (download instructions/template for 
authors in Spanish  or Portuguese 
), must not have been published before, 
not be under review for any other conference or publication and not include any 
information leading to the authors’ identification. Therefore, the authors’ 
names, affiliations and e-mails should not be included in the version for 
evaluation by the Scientific Committee. This information should only be 
included in the camera-ready version, saved in Word. These file must be 
uploaded at the conference management system in a ZIP file.

All papers will be subjected to a “blind review” by at least two members of the 
Scientific Committee.

Based on Scientific Committee evaluation, a paper can be rejected or accepted 
by the Conference Chairs. In the later case, it can be accepted as paper or 
poster.

The authors of papers accepted as posters must build and print a poster to be 
exhibited during the Conference. This poster must follow an A1 or A2 vertical 
format. The Conference can includes Work Sessions where these posters are 
presented and orally discussed, with a 7 minute limit per poster.

The authors of accepted papers will have 15 minutes to present their work in a 
Conference Work Session; approximately 5 minutes of discussion will follow each 
presentation.



Publication and Indexing

To ensure that an accepted paper is published, at least one of the authors must 
be fully registered by the 11 of February 2019, and the paper must comply with 
the suggested layout and page-limit (until 10 pages). Additionally, all 
recommended changes must be addressed by the authors before they submit the 
camera-ready version.

No more than one paper per registration will be published. An extra fee must be 
paid for publication of additional papers, with a maximum of one additional 
paper 

[UAI] Research Engineer in Data Science position at NYU School of Medicine

[Krzysztof Jerzy Geras]

*Research Engineer in Data Science*

The mission of the Center for Advanced Imaging Innovation and Research (CAI2R)
at NYU School of Medicine is to develop new medical imaging technologies
and to deploy them for routine patient care. The center is embedded into
the Department of Radiology and consists of over 80 full-time researchers.
It is located in the center of Manhattan, adjacent to the UN headquarters.



*Available Position*

One of the core research topics of our department is the development of
machine learning methods for medical imaging applications. We have a broad
spectrum of ongoing projects involving machine learning including image
reconstruction [1,2,3], diagnostic classification [4,5] and image
segmentation [6]. Our research covers all steps from basic science
developments to the translation into clinical practice. We have ongoing
industrial collaborations with Facebook AI Research and Siemens Healthcare.
We are looking for a highly motivated research engineer to join our
interdisciplinary and international group.



*Requirements include:*

- Passion for both engineering and research.

- BS in computer science, mathematics, physics, electrical engineering or a
related discipline. MS or PhD is big plus.

- Good knowledge of the principles of machine learning.

- Expert skills in Python. Skills in Tensorflow or PyTorch are a plus.

- Experience in working with medical imaging data, in particular MRI data,
is a plus.



*Responsibilities include:*

- Implementation of deep learning models.

- Performing experiments on our GPU cluster consisting of 96 NVIDIA V100
GPUs.

- Acquisition and curation of medical image datasets.



The position is available immediately (December 2018) and applications are
accepted until the position is filled. The initial appointment will be for
a year, with an option to renew further, depending on mutual agreement. We
offer a competitive salary and benefits package.



*Contact*

Please send your application (CV and a short motivational statement) to
Florian Knoll (florian.kn...@nyumc.org), Krzysztof Geras (k.j.ge...@nyu.edu)
and Daniel K Sodickson (daniel.sodick...@nyumc.org 
).



*References*

[1] Learning a variational network for reconstruction of accelerated MRI
data . Hammernik
et al. Magnetic Resonance in Medicine, 2018.

[2] Assessment of the generalization of learned image reconstruction and
the potential for transfer learning .
Knoll et al. Magnetic Resonance in Medicine, 2019.

[3] fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
. Zbontar, et al. ArXiv 2018.

[4] High-Resolution Breast Cancer Screening with Multi-View Deep
Convolutional Neural Networks .
Geras et al., ArXiv 2017.

[5] Breast density classification with deep convolutional neural networks
. Wu et al., ICASSP,
2018.

[6] Segmentation of the proximal femur from MR images using deep
convolutional neural networks
. Deniz et al.,
Scientific Reports, 2018.
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[UAI] SoAIR 2019: IEEE-RAS Spring School on "Social and Artificial Intelligence for User-Friendly Robots" in Japan

[Amir Aly]

CALL FOR APPLICATIONS

**Apologies for cross posting **

We are pleased to call for applications for the IEEE-RAS spring school on:

"*Social and Artificial Intelligence for User-Friendly Robots*"

* Which will be held from 17-24 March, 2019 in Shonan Village, Japan *after
the *Human-Robot Interaction (HRI)* conference that will be held in the
near South Korea.

*Webpage: **https://inic8.bitbucket.io/SoAIR19/*




*I. Aim and Scope *Autonomous and intelligent systems are progressively
moving into spaces, which have previously been predominantly shaped by
human agency. Unlike in the past where machines obediently served their
human operators, machines now increasingly act without the intervention of
a human. Artificial intelligence is meeting new challenges in the world,
though human-like intelligence may still be a distant goal. Robots in
factories are coming out of their cages. Autonomous cars are being tested
on streets with regular human-driven cars. The private household is
changing with the appearance of not only robotic vacuum cleaners, but also
with the first-generation of social robots and smart devices. The
challenges that face both the robotics and artificial intelligence
communities are how the necessary intelligence for such new environments
can be created as well as how to make artificial agents capable of not only
solving tasks at hand but also considering social environments around them
during interaction with human users so as to behave appropriately. Within
the school, we plan to address the tension created by the balance between
task-specific artificial intelligence and the demands of sociability
required to function effectively in human-centered environments.

** *Who should apply?*  We invite *Masters and PhD students* as well
as *post-doctoral
candidates and researchers from industry* with relevant research background
to apply for this spring school.

** *This spring school is a Technical Education Program (TEP) endorsed and
supported by IEEE-RAS*.

** *The school aims at bridging the gap between social and cognitive
Human-Robot Interaction (HRI), Artificial Intelligence (AI), and Autonomous
Vehicles (AV) through high level talks, tutorials, and hands-on workshops
(the program will be announced soon).*


*II. Keynote Speakers:*

   1. *  Jun Tani *–  Okinawa Institute of Science and Technology (OIST),
   Japan
   2.   *Daniele Magazzeni *– King's College London, UK
   3. *  Yukie Nagai *– National Institute of Information and
   Communications Technology(NICT), Japan
   4.  * Tetsuya Ogata* – Waseda University, Japan
   5.   *Mohamed Chetouani *– University of Pierre and Marie Curie (UPMC),
   France
   6.   *Silvia Rossi* – University of Naples, Italy
   7.   *Agnieszka Wykowska *– Italian Institute of Technology (IIT), Italy
   8.   *Tetsunari Inamura *– National Institute of Informatics (NII), Japan
   9.   *Amit Kumar Pandey *–  SoftBank (Aldebaran) Robotics, France
   10.   *Mehul Bhatt* – Orebro University, Sweden (Tutorial)
   11.   *Mohsen Kaboli –* Bavarian Motor Works (BMW), Germany (Tutorial)
   12.   *Francesco Maurelli *– Jacobs University, Germany (Preparing Marie
   Curie funding proposal)
   13.   *Atsuko Nakatsuka* – Japan Society for the Promotion of Science
   (JSPS), Japan (Preparing JSPS funding proposal)


*III. Submission *

The applications must include the following files (combined into one file).
No other documents would be necessary (More information is available on the
school's webpage).

   1. *Curriculum vitae*: A CV detailing relevant aspects of the
   candidate's academic career that demonstrates her/his relevance to the
   school theme. Please consider including the list of publications.
   2. *Research abstract*: A 200-word research abstract that the candidate
   intends to present during the school.
   3. *Letter of recommendation*: A brief letter from the academic advisor
   or the employer of the candidate supporting her/his application. Please
   also indicate if partial support would be required to attend the school.

*Application submission*: Please use the following EasyChair web link:*
Application Submission .*

*IV. Important Dates *

   1. Application submission:
*20-December, 2018 *
   2. Notification of acceptance: *28-December, 2018 *
   3. Spring School: *17-24 March, 2019*

*V. Organizers   *

   1.   *Amir Aly *– Ritsumeikan University – Japan
   2.   *Franziska Kirstein *– Blue Ocean Robotics, Denmark
   3. *  Shashank Pathak *– Visteon Corporation, Germany

-
*Amir Aly, Ph.D.*
Senior Researcher
Emergent Systems Laboratory
College of Information Science and Engineering
Ritsumeikan University
1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577
Japan
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[UAI] [ceda] Volume 35, Issue 6 (November/December) released: Special Issue on Energy and Power Management for Electric Vehicles

[Al Faruque Mohammad]

 
Magazine
Volume 35, Issue 6 (November/December)

 
 
 
 
 
  

Highlights
Special Issue on "Energy and Power Management for Electric Vehicles"
Roundtable on "Machine Learning for Embedded Systems: Hype or Lasting Impact?"  
November/December 2018 Content

From the EIC 
•   Managing Electric Vehicles
View full article (PDF) here 
.

Energy and Power Management for Electric Vehicles
•   Guest Editors’ Introduction: Special Issue on Energy and Power 
Management for Electric Vehicles
View full article (PDF) here 
.
•   Path to Eco-Driving: Electric Vehicle HVAC and Route Joint Optimization
This article targets at optimizing driving range and battery lifetime for EVs. 
The authors propose ... read more 
.
View full article (PDF) here 
.
•   Aging and Cost Optimal Residential Charging for Plug-In EVs
Charging plug-in electric vehicles (PEVs) lead to gradual degradation of 
battery capacity and, hence, pose a hidden cost for each charge cycle. This 
article proposes ... read more .
View full article (PDF) here 
.
•   Hierarchical Electric Vehicle Charging Aggregator Strategy Using 
Dantzig-Wolfe Decomposition
This article focuses on reducing a charging cost for electric vehicles (EVs). A 
charging strategy is proposed to ... read more 
.
View full article (PDF) here 
.
•   Reconfigurable Photovoltaic Systems for Electric Vehicles
This article discusses the insights for design and implementation of onboard PV 
systems for electrical vehicles. It proposes ... read more 
.
View full article (PDF) here 
.

Survey Paper
•   Survey of Low-Power Electric Vehicles: A Design Automation Perspective
The survey of the guest editors provides a comprehensive introduction to the 
design process of electric vehicles. Relevant topics such as ... read more 
.
View full article (PDF) here 
.

General Interest Papers
•   Measuring System Design and Experimental Research on Electrostatic 
Attractive Force
The authors present a platform for measuring the electrostatic attractive force 
that ... read more .
View full article (PDF) here 
.
•   GPU-Accelerated Soft Error Rate Analysis of Large-Scale Integrated 
Circuits
n this article, a team of researchers from Shiraz University and the Shahid 
Bahonar University of Kerman, Iran, investigates soft error rate (SER) 
estimation. They propose ... read more 
.
View full article (PDF) here 
.

Departments
•   Roundtable: Machine Learning for Embedded Systems: Hype or Lasting 
Impact?
Free Access Article (PDF) here 
.
•   Report on the 2018 IEEE/ACM International Symposium on Low Power 
Electronics and Design
Free Access Article (PDF) here 
.
•   The 10th China Test Conference
Free Access Article (PDF) here 
.
•   Running on Empty
Free Access Article (PDF) here 
.

•   Click  
 for 
Table-of-Contents.

Jörg Henkel, KIT, Karlsruhe
Editor-in-Chief
This e-mail is created by the Publicity Department of the IEEE Design & Test, 
Publicity Editor, Mohammad Al Faruque, University of California, Irvine, CA, USA

-
Associate Prof. Mohammad Al Faruque
University of California, Irvine (UCI)
Electrical Engineering & Computer Science (EECS)
Phone: +1 (949) 824 1909
Fax:  +1 (949) 824 3032/2321
E-mail: alfar...@uci.edu 
Web: http://aicps.eng.uci.edu/  

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[UAI] CFP: IJCNN 2019 Special Session on Deep and Generative Adversarial Learning

[Ariel Ruiz-Garcia]

[Apologies if you receive multiple copies of this CFP]
Call for Papers:

Special Session on Deep and Generative Adversarial Learning
International Joint Conference on Neural Networks (IJCNN 2019)
July 14-19 2019, Budapest, Hungary https://www.ijcnn.org/

Submission Deadline: 15 December 2018

Aims and Scope:
Deep Generative Adversarial Networks (GANs) are one of the most recent 
breakthroughs in deep learning (DL) and neural networks. One of the main 
advantages of GANs over other deep learning systems is their ability to learn 
from unlabelled data, as well as their ability to generate new data from random 
distributions. However, generating realistic data using GANs remains a 
challenge, particularly when specific features are required; e.g., constraining 
the latent aggregate distribution space does not guarantee that the generator 
will produce an image with a specific attribute. New advancements in deep 
representation learning (RL) can help improve the learning process in GANs. For 
instance, RL can help address issues such as dataset bias and network 
co-adaptation, and help identify a set of features that are ideal for a given 
task.
Practical applications of GANs include: realistic data synthesis, generation of 
speech or images from text, image denoising and completion, artificial 
environment generation for reinforcement learning problems, conversion of 
satellite images into maps, class imbalance learning, or other unsupervised and 
supervised learning tasks. Nonetheless, GANs have yet to overcome several 
challenges. They often fail to converge and are very sensitive to parameter and 
hyperparameter initialization. Simultaneous learning of a generator and a 
discriminator network also makes the learning process more difficult and often 
results in overfitting or vanishing gradients in the generator network. 
Moreover, the generator model is prone to mode collapse which results in 
failure to generate data with several variations. New theoretical methods in 
deep learning and GANs are therefore required to improve the learning process 
and generalization performance of GANs. Topics of interest for this special 
session include, but are not limited to:
* Generative adversarial learning methods and theory;
* Representation learning methods and theory;
* Adversarial representation learning for domain adaptation;
* Interpretable representation adversarial learning;
* Adversarial feature learning;
* RL and GANs for data augmentation and class imbalance;
* New GAN models and learning criteria;
* RL and GANs in classification;
* Image completion and super-resolution;
* RL and GANs in Deep Reinforcement Learning;
* Deep learning and GANs for image and video synthesis;
* Deep Learning and GANs for speech and audio synthesis;
* RL and GANs and for In-painting and Sketch to image;
* Representation and Adversarial Learning in Machine Translation;
* RL and GANs in other application domains.

Submission: For paper guidelines please visit 
https://www.ijcnn.org/paper-submission-guidelines and for submissions please 
select Special Session S06. Deep and Generative Adversarial Learning as the 
main research topic at https://ieee-cis.org/conferences/ijcnn2019/upload.php

Organizers:
Ariel Ruiz-Garcia, Coventry University, UK  
(ariel.ruiz-gar...@coventry.ac.uk)
Vasile Palade, Coventry University, UK  
(vasile.pal...@coventry.ac.uk)
Clive Cheong Took, Royal Holloway(University of London), UK 
(clive.cheongt...@rhul.ac.uk)

University of the Year for Student Experience
The Times and Sunday Times Good University Guide 2019

2nd for Teaching Excellence
Times Higher Education UK (TEF) metrics ranking 2017 - Gold winner

5th UK Student City
QS Best Student Cities Index 2018

13th in Guardian University Guide 2019
of 121 UK institutions ranked

NOTICE

This message and any files transmitted with it is intended for the addressee 
only and may contain information that is confidential or privileged. 
Unauthorised use is strictly prohibited. If you are not the addressee, you 
should not read, copy, disclose or otherwise use this message, except for the 
purpose of delivery to the addressee.

Any views or opinions expressed within this e-mail are those of the author and 
do not necessarily represent those of Coventry University.
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[UAI] [job] Postdoc position in Socially Adaptive Behaviour Support Agents - TU Delft, The Netherlands

[Willem-Paul Brinkman - EWI]

Delft University of Technology, The Netherlands
Faculty of Electrical Engineering, Mathematics and Computer Science
Level: Doctorate (PhD)
Working hours: 32-40 hours weekly
Contract: until 31-12-2022
Salary: 3303 - 4166 euros monthly (full-time basis)


 
Job description

This position is part of the programme “Pride & Prejudice - Tackling chronic 
disease prevention through real-life monitoring and context-aware intervention 
design”, which is financially supported by the 4TU federation (see 
https://www.4tu.nl/en/news/!/84378/awarding_hightech/).

Central to the Pride & Prejudice programme is the combination of monitoring in 
real-life through sensors (food intake, physical activity and health 
parameters) with the development of design interventions at different levels of 
the system (person, group, society), and evaluation of the (long-term) 
effectiveness of these combined interventions. 

This position focuses on the development of a behaviour support agent that 
helps people to establish and maintain a healthy lifestyle (e.g., eating habits 
and physical activities). Specifically, we investigate how we can design a 
conversational agent that takes into account the norms and values of both the 
supported person and their social environment (such as nuclear families and 
caregivers). For this, the agent should be able to engage into a conversation 
with various stakeholders to elicit their norms and values, be able to reason 
about them, and seek or coach towards solutions in case of a conflict. We will 
empirically investigate through user studies whether norm- and value-tailoring 
makes the lifestyle interventions more effective.

As a postdoc your tasks concern the following activities:

* perform scientific research

* develop research prototypes using a situated cognitive engineering approach 
(iterative development cycles, empirical evaluation of prototypes with its 
users, scenario- and claim-based analysis, and focus group reviews)

* present results in scientific conferences

* publish in renowned scientific journals

* participate in activities of the research group and project team

* limited participation in teaching activities of the research group


Faculty | Department | Research Group

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) 
is known worldwide for its high academic quality and the social relevance of 
its research programmes. The faculty’s excellent facilities accentuate its 
international position in teaching and research. Within this interdisciplinary 
and international setting, the faculty employs more than 1100 employees, 
including about 400 graduate students and has about 2100 students. Together 
they work on a broad range of technical innovations in the fields of 
sustainable energy, telecommunications, microelectronics, embedded systems, 
computer and software engineering, interactive multimedia and applied 
mathematics.

The department of Intelligent Systems (INSY) conceptualises computer science 
methodologies to sense, abstract, learn, reason, elicitate and adapt data and 
their meaning in ways that respect human values in order to increase human 
effectiveness in well-being and social innovation. At the heart of the 
department is, therefore, the research and teaching in computer science theory, 
algorithms and solutions for information processing systems that support humans 
(e.g. robotics), new products (e.g. internet services), and science (e.g. 
biology).   

The Interactive Intelligence group focuses on interaction of users with 
intelligent systems. In particular, we have a strong track record on the 
development of smart interactive agents.  Such agents possess capabilities 
including learning, reasoning, social skills, emotions, and norms and can 
interact with humans. These agents typically function as a coach, artificial 
actor, or companion, and are used in a wide variety of applications including 
therapy, health and entertainment. 

Requirements

We are looking for candidates who meet the following requirements:

* a PhD degree in computer science, human-technology interaction, artificial 
intelligence or a closely related field;

* good programming skills

* excellent communication skills, both spoken and written Dutch and English; 
non-Dutch speakers should be willing and able to learn Dutch within the first 
year in order to be able to conduct user studies

* you have an open mind and are inspired by the opportunity to contribute to 
shaping the digital society of the future

* some expertise in or affinity with ethics of information technology is 
advantageous  

The ideal candidate is interested in conducting applied research and has 
expertise both in AI as well as in human-computer interaction (HCI). Candidates 
without HCI background should be interested in and willing to acquire this 
expertise during the postdoc, as it comprises an essential part of the 
research. 

You will be part of the project team, which 

[UAI] AIAI2019 - EANN2019 @ Crete, Greece - 2nd Call for Papers

[Papaleonidas Antonis]

AIAI2019 - EANN2019 @ Crete, Greece - 2nd Call for PapersAIAI 2019 - EANN 2019, 
24 - 26 May 2019 @ Crete, Greece
   
2nd CALL FOR PAPERS for
20th EANN - 15th AIAI 2019 @ Crete, Greece 
Dear colleagues

We would like to invite you to submit your work at the 
20th International Conference on Engineering Applications of Neural Networks 
(EANN2019) - 15th International Conference on Artificial Intelligence 
Applications and Innovations (AIAI2019) joint Conferences.

EANN2019 / AIAI2019 are Technically sponsored by INNS / 
IFIP WG12.5 

Websites: eann2019.eu - aiai2019.eu 
IMPORTANT DATES:

  . Paper Submission Deadline: 9th of February 2019
  . Notification of Acceptance: 3rd of March 2019
  . Conference: 24 - 26 of May 2019
   
SPECIAL ISSUES - PROCEEDINGS:

Selected papers from the main event and workshops will 
be published in special issues of scientific Journals

  . Special Issue of the Neural computing and 
Applications SPRINGER journal Impact Factor 4.2

  . Special Issue of the Evolving Systems Journal 
(SPRINGER)

PROCEEDINGS will be published by SRINGER LNBIP Series 
for EANN2019 and in SPRINGER IFIP AICT for AIAI2019
   
VENUE:

island of CRETE Greece, 5 stars ALDEMAR KNOSSOS ROYAL 
BEACH RESORT

https://www.aldemar-resorts.gr/hotel/knossos-royal/

SPECIAL PRICES  are arranged for conference participants
   
WORKSHOPS:

  . 8th Mining Humanistic Data Workshop
  . 4th 5G-PINE (5G – Putting Intelligence to the 
Network Edge)
   
TUTORIALS:

  . "Deep learning in Medicine and Bioinformatics: 
state of art and potentialities, visions"  Tutorial (2 hours) by Professor 
Pietro Lio, University of Cambridge, UK
  . "Automated Machine Learning for Bioinformatics and 
Computational Biology",  Tutorial (3 hours) by Ioannis Tsamardinos, Vincenzo 
Lagani 
   
KEYNOTE SPEAKERS:

  . Professor Panagiotis Papapetrou, Dept. of Computer 
and Systems Sciences, Stockholm University
  . Dr. Evangelos Eleftheriou, IBM Fellow, Cloud & 
Computing Infrastructure, Zurich Research Laboratory, Zurich, Switzerland
  . Professor Plamen Angelov, University of Lancaster, 
UK
   
Conference topics, CFPs and submissions details can be 
found at:

  . http://www.aiai2019.eu/cfp/
  . http://www.eann2019.eu/cfp/
   
 
   
 



Dr Papaleonidas Antonios
Publication Chair of AIAI2019 & EANN 2019

Civil Engineering Department
Democritus University of Thrace
papal...@sch.gr

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