Call for papers for FARU 2017

Call for papers for FARU 2017
10th International Built Environment Research Conference
Faculty of Architecture, University of Moratuwa, Sri Lanka
08th  – 10th December 2017

“Design that cares”
-an inter-disciplinary approach to making built environments efficient and meaningful-

Faculty of Architecture Research Unit (FARU) of University of Moratuwa, Sri Lanka and National Science Foundation (NSF) of Sri Lanka are jointly organizing the 10th international research conference on architecture/built environments in Colombo between 08th – 10th December 2017.  The conference will provide a forum for researchers, academics, practitioners and students in the areas of architecture, built environment, planning, building economics and integrated design.

Authors are invited to submit abstracts written in English within 300 words in areas related to the theme and sub themes of the conference.

Scope and call for papers
FARU 2017 highlights the significance of architecture (built environment) in caring environmental, physical, energy, socio-cultural, and economic concerns and needs, and thus the quality of life of people.  Annual 10th International Conference of FARU in 2017 invites contributions on research and intellectual developments as well as on innovative case studies in the following areas:

Environment and energy
Sustainable building forms (energy efficiency, eco buildings, retrofitting, building performance)
Climate responsive buildings (passive design, indoor thermal comfort, adoptive responses)
Day lighting and active lighting (user perception and green design)
Indoor environmental quality (health, pollution and occupancy)
Renewable energy integration (zero emissions and net metering)
Building simulations and predictions (Building performance)
Adapting to climate change (resilient environments, combating overheating and floods)
Building physics (Heat transfer, passive heating, cooling)

People, socio-cultural and physical context
Social housing and design for people (architecture as a social entity)
Conservation and heritage (challenges and opportunities)
Human systems and patterns (post occupancy, social art)
Colour and perception in space(human behavior, impacts)

Technology and materials
Green design and efficiency (energy and innovations)
Robust use and innovation (detailing and art of tolerance)
Smart technologies (future buildings, urban environments)
Bio-mimicry and sustainability (order and metaphor in nature)

Cost, management and life cycle
Green building practices and green materials (life cycle costing, green rating and sustainability)
Project management and sustainability (energy management, cost management, disaster management)
Construction industry transformation (Entrepreneurship, education, resilience of built environment)
Labour and delivery challenges (legal aspects, risk management)
Lean and lean construction, BIM for construction

Urban environments, planning, urban health and climate
Urban microclimates and outdoor comfort (people, adaptation to climate, climate change)
Planning for future resilience (natural disasters, man-made disasters)
Planning science (theories)
Transport, built environment and planning (air pollution, energy and development)
Built environment and urban health (Non-Commutable Diseases and urban living)
Urban architecture and people

Integrated design
Product design, merchandising and indoor health
Fashion design transformation
Graphic design


Venue
FARU 2017 will take place in Blue Waters, (20 Kms from Colombo and 6 Kms from the University) a five star resort hotel designed by renowned Sri Lankan architect Geoffrey Bawa.

Conference host
Faculty of Architecture Research Unit (FARU) of University of Moratuwa will be the main organizer of the conference.  National Science Foundation of the Ministry of Science and Technology will be the co-organizer of the conference.

Abstract submission
Please click on the “Abstract submission” on the conference website http://www.mrt.ac.lk/foa/faru2017/index.php Follow instructions for submission on line. Alternatively, you can submit your abstract to faru@uom.lk

Abstracts of about 300 words are invited to be submitted for double – blind review. Do not include the author details with the abstract. Once the abstract is submitted through the Conference Management System and via e mail, an “Identification Number” will be allocated for each submission. Selected authors will be invited to submit a full paper for a further review.

Abstracts must be submitted by 20th July 2017.  

Full paper submission
Authors of accepted abstracts will be invited to submit a full paper on line and via e mail on a given common format to be published in the conference proceedings with an ISBN number on the conference day. Fill the CONFERENCE REGISTRATION FROM when submitting your full paper on line via easychair and in addition e mail to faru@uom.lk

Keynote speaker
Professor Susan Roaf,
Heriot-Watt University, United Kingdom

                                                   
University of Moratuwa       National Science Fondation of Sri Lanka
       www.mrt.ac.lk                                www.nsf.ac.lk


Contact
Dr. Upendra Rajapaksha
Director, Faculty of Architecture Research Unit (FARU)
Senior Lecturer in Architectural Design and Architectural Science
University of Moratuwa, Sri Lanka
Contact +94773466436 and +94112650534
faru@uom.lk and upendra@uom.lk
http://www.mrt.ac.lk/foa/faru2017/index.php



OR
Mr. AMS Attanayake
Technical & Administrative Coordinator, Faculty of Architecture Research Unit
University of Moratuwa, Sri Lanka
Contact ruwana@uom.lk

Upcoming Conference: IEEE Big Data 2017 CFP

Call for Papers

2017 IEEE International Conference on Big Data  (IEEE Big Data 2017)

http://cci.drexel.edu/bigdata/bigdata2017/

December 11-14, 2017,  Boston, MA, USA

In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data.
·       The first conference IEEE Big Data 2013 had more than 400 registered participants from 40 countries ( http://cci.drexel.edu/bigdata/bigdata2013/) and the regular paper acceptance  rate is 17.0%.

·      The IEEE Big Data 2016 ( http://cci.drexel.edu/bigdata/bigdata2016/ ,  regular paper acceptance rate: 18.7%) was held in Washington DC, Dec 5-8, 2016 with close to 900 registered participants from 43 countries.



 The 2017 IEEE International Conference on Big Data (IEEE Big Data 2017) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications.

We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. Example topics of interest includes but is not limited to the following:


1.     Big Data Science and Foundations
a.     Novel Theoretical Models for Big Data
b.     New Computational Models for Big Data
c.     Data and Information Quality for Big Data
d.     New Data Standards

2.     Big Data Infrastructure
a.     Cloud/Grid/Stream Computing for Big Data
b.     High Performance/Parallel Computing  Platforms for Big Data
c.     Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
d.     Energy-efficient Computing for Big Data
e.     Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
f.      Software Techniques and Architectures in Cloud/Grid/Stream Computing
g.     Big Data Open Platforms
h.     New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
i.      Software Systems to Support Big Data Computing

3.     Big Data Management
a.     Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
b.     Algorithms and Systems for Big DataSearch
c.     Distributed, and Peer-to-peer Search
d.     Big Data Search  Architectures, Scalability and Efficiency
e.     Data Acquisition, Integration, Cleaning,  and Best Practices
f.      Visualization Analytics for Big Data
g.     Computational Modeling and Data Integration
h.     Large-scale Recommendation Systems and Social Media Systems
i.      Cloud/Grid/Stream Data Mining- Big Velocity Data
j.      Link and Graph Mining
k.     Semantic-based Data Mining and Data Pre-processing
l.      Mobility and Big Data
m.   Multimedia and Multi-structured Data- Big Variety Data


4.     Big Data Search and Mining
a.     Social Web Search and Mining
b.     Web Search
c.     Algorithms and Systems for Big Data Search
d.     Distributed, and Peer-to-peer Search
e.     Big Data Search  Architectures, Scalability and Efficiency
f.      Data Acquisition, Integration, Cleaning,  and Best Practices
g.     Visualization Analytics for Big Data
h.     Computational Modeling and Data Integration
i.      Large-scale Recommendation Systems and Social Media Systems
j.      Cloud/Grid/StreamData Mining- Big Velocity Data
k.     Link and Graph Mining
l.      Semantic-based Data Mining and Data Pre-processing
m.   Mobility and Big Data
n.     Multimedia and Multi-structured Data- Big Variety Data

5.     Big Data Security, Privacy and Trust

a.     Intrusion Detection for Gigabit Networks

b.     Anomaly and APT Detection in Very Large Scale Systems

c.     High Performance Cryptography

d.     Visualizing Large Scale Security Data

e.     Threat Detection using Big Data Analytics

f.      Privacy Threats of Big Data

g.     Privacy Preserving Big Data Collection/Analytics

h.     HCI Challenges for Big Data Security & Privacy

i.      User Studies for any of the above

j.      Sociological Aspects of Big Data Privacy

k.     Trust management in IoT and other Big Data Systems




6.     Big Data Applications

a.     Complex Big Data Applications  in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
b.     Big Data Analytics in Small Business Enterprises (SMEs),
c.     Big Data Analytics in Government, Public Sector and Society in General
d.     Real-life Case Studies of Value Creation through Big Data Analytics
e.     Big Data as a Service
f.      Big Data Industry Standards
g.    Experiences with Big Data Project Deployments

INDUSTRIAL Track
The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 10 pages) and extended abstracts (2-4 pages).

Student Travel Award
IEEE Big Data 2017 will offer student travel to student authors (including post-docs)


Journal Publication
A set of about 10 papers will be selected for a fast-track review and then published at the IEEE Transactions on Big Data.


Paper Submission:
Please submit a full-length paper (up to 10 page IEEE 2-column format) through the online submission system.

https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submit.php?subarea=BigD

Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below).

Formatting Instructions
8.5" x 11" (DOC, PDF)
LaTex Formatting Macros

Important Dates:

Electronic submission of full papers: August 7, 2017
Notification of paper acceptance: Oct 9, 2016
Camera-ready of accepted papers: Nov 10, 2017
Conference: Dec 11-14, 2017


Conference Co-Chairs
Dr. Ricardo Baeza-Yates : NTENT, USA
Prof. Xiaohua Tony Hu : Drexel University, USA
Dr. Jeremy Kepner : MIT Lincoln Laboratory, USA

PC Co-Chairs
Prof. Jian-Yun Nie, University of Montreal, Canada
Prof. Zoran Obradovic, Temple University, USA
Prof. Toyotaro Suzumura, IBM Research, USA

Industry and Government Co-Chairs:
Dr. Raghunath Nambiar, CISCO, USA
Dr. Sudarsan  Rachuri, Dept of Energy, USA
Dr. Ghosh Rumi, BOSCH, USA
Dr. Chonggang Wang, InterDigital, IncUSA
Dr. Hui Zang, Huawei Research, USA