Second International Workshop on Internet of Things, Systems, Management and Security (IoTSMS)

Call for Papers
The Internet of Things (IoT) technology offers unprecedented opportunities to interconnect human beings as well as Machine-to-Machine (M2M) communication, whereby sensors and networks allow all ‘things’ to communicate directly with each other to share vital information and allow us to have an instrumented universe where accurate data is readily available to inform optimal decision making. The IoT would enable a range of new capabilities and services far beyond today’s offerings which will radically change how people go about their lives. According to Cisco IBSG’s prediction, the number of objects connected to the Internet is set to reach 25 billion by 2015 and 50 billion by 2020. The scale of the IoT is set to have a major economical, social and environmental impacts; the intersection of which forms the future sustainable growth. The Internet of Things: Systems, Management and Security (IOT_SMS) workshop will be held in conjunction with 12th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA' 2015)The IOT_SMS workshop aims at soliciting original ideas on the broad area of IoT including challenges and opportunities, concepts and applications and future trends. The workshop aims to facilitate discussions amongst academics and IoT practitioners and make positive contributions to the field. Authors are invited to submit original, unpublished manuscripts. Submitted papers should be in accordance with IEEE format, and will be reviewed by at least two expert reviewers in terms of relevance, originality, contribution, correctness, and presentation.

The topics of interest for this workshop include, but are not limited to:
Emerging concepts of IoT
Design methodologies for IoT
Novel services and applications of IoT to facilitate environmental responsibility
Green by Internet of Things
IoT and Social benefits/impact
IoT Economics
Emerging Internet of Things business models and process changes
Communication systems and network architectures for the IoT
IoT and Data Management
Security and privacy of IoT
Reliability of IoT
Disaster recovery in IoT
Applications of Internet of things
Emerging applications and interaction paradigms for everyday citizens
Big data and IoT
Self-organizing IoT
Cloud Computing and IoT
IoT and sustainable Growth

IoTSMS submission page:

The workshop important dates:
Paper submission:                       17th August 2015
Notification of acceptance:         1st September 2015
Camera Ready:                             22nd September 2015

General Co-chairs
Elhadj Benkhelifa, Staffordshire University, UK
Ammar Rayes, Cisco Systems, USA

Technical Program Co-Chairs
Yaser Jararweh, Jordan University of Science and Technology, Jordan
Abdallah Khreishah, New Jersey Institute of Technology, USA
Issa Khalil, Qatar Foundation, Qatar

Publication and Publicity Chairs
Mahmoud Al-Ayyoub, Jordan University of Science and Technology, Jordan
Ala Al-Fuqaha, Western Michigan University, USA
Mohamed Abdel-Maguid, University Campus Suffolk, UK

Invited Speaker and Panel Chair
Qutaibah Althebyan, Jordan University of Science and Technology, Jordan, Jordan

Technical program committee:

  • Anthony Pipe, Bristol Robotics Laboratory, UK 
  • Qutaibah Althebyan, JUST, Jordan
  • Mokhtar Nibouche, University of the West of England
  • Ashiq Anjum, University of Derby, UK
  •  Andy Rindos, IBM Research, USA
  •  Jianwu Wang, University of California, San Diego, USA
  •  Ahmed Bouridane, University of Northumbria, UK
  •  Mohamed Abdel-Maguid, University Campus Suffolk, UK
  •  Rehab Duwairi, Jordan University of Science and Technology, Jordan
  • Robert Kinmond, Staffordshire University, UK
  • Hongnian Yu, Bournemouth University, UK
  •  Muhannad Quwaider, Jordan University of Science and Technology, Jordan
  • Saleem Abuleil, Chicago State University, USA
  • Khaled Alsamara, Chicago State University, USA
  • Khalid Alzoubi, Saint Xavier University, USA
  • Muhammad Anan, Alfaisal University, Saudi Arabia
  • Kashif Munir, King Fahad University of Petrolium and Minerals, Saudi Arabia
  • Ali Bou Nassif, University of Western Ontario, Canada
  • Yousef Farhaoui, Moulay Ismail University, Morocco
  • Mohammad Hamdaqa, University of Waterloo, Canada
  • Bo Ji, Temple University, USA
  • Mehdi Mohammadi, Western Michigan University, USA
  • Sihua Shao, New Jersey Institute of Technology, USA

For any Inquiry please send an email to:
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Workshop Program:

Tuesday Nov. 17th. 2015.
Session 1:
Chair: Yaser Jararweh

Keynote Speaker: Elhadj Benkhelifa

Bacem Mbarek, Aref Meddeb, Wafa Ben Jaballah and Mohamed Mosbah. A Secure Authentication Mechanism for Resource Constrained Devices  

Son N. Han , Quyet H. Cao , Bahram Alinia , and Noel Crespi. Design, Implementation, and Evaluation of 6LoWPAN for Home and Building Automation in the Internet of Things

Yaser Jararweh, Alaa Drabseh, Mahmoud Al-Ayyoub, Abdelkader Bousselham and Elhadj Benkhelifa. Software Defined Based Smart Grid Architecture

Session 2:
Chair: Mahmoud Al-Ayyoub

Ola Salman, Imad Elhajj, Ayman Kayssi and Ali Chehab. An Architecture for the Internet of Things with Decentralized Data and Centralized Control  

Boujezza Hajer, Al-Mufti Modher, Kaffel Ben Ayed Hela and Leila Saidane. Taxonomy Of Identities Management Systems In IOT

Khadeja Bahewaireth, Loai Tawalbeh, Anas Basalamah and Yaser Jararweh. Efficient Techniques for energy optimization in mobile cloud computing


HITS Workshop in Conjunction with ACS/IEEE International Conference on Computer Systems and Applications, Marrakech Morocco, 2015

Access the workshop page here (

Hashtag Intelligence in the Twittersphere: HITS - 2015 Hashtags are special devices that recently emerged as social media exploded in popularity. Accordingly, various research have sprung to further explore the social phenomenon beneath such devices. This workshop aims to advance the science of network analysis and mining around hashtags:


  •     Exploring Hashtag-based Networks (topology, centrality, information infusion)
  •     Understanding keyword-hashtag interaction network (association, causal, influence)
  •     Designing new network mining algorithms for utilizing HITS networks
  •     Inspiring new business analytics using highly experimental approach around HITS
  •     Exploring the hashtag-based networks in various application domains: (climate change, environmental sciences, extreme events, biomedical sciences)
  •     Linking to public digital libraries an encyclopedia (e.g., EOL.ORG and NLM PubMed).
  •     Measuring public opinions in the Arabic languages around: (political polarization, religious orientations, and conflict resolution)
  •     Designing Rule-based expert systems that are entirely based on HITS.

Submission Instructions
The manuscript should follow IEEE Computer Society's two-column format. The maximum manuscript length is six (8) pages including tables, figures, and references. Accepted papers are published by IEEE Computer Society in AICCSA 2015 official proceedings.

Honarary Chair
Dr. Mohammed Zaki

Workshop Chairs
Dr. Ahmed Abdeen Hamed, Vermont EPSCoR and Social Ecological Gaming and Simulation Lab
Dr. Byung Suk Lee, Department of Computer Science, UVM

Submission Info
Papers are should be written in the same format as the AICCSA conference. Short papers of length of (4) and long papers up to (8) pages should be submitted to the Workshop chair at: Prof. Hamed

Program Committee
Dr. Luca Rossi: University of Copenhagen, Denmark
Dr. Mohammad Abdeen: University of Ottawa, Canada
Dr. Steve Scheinert: Universiry of Vermont, EPSCoR, USA
Dr. Haiguang Li: Google Corporation, USA
Dr. Chengyang Zhang: Teradata, USA


TUTORIALS: "Spectral Methods for Dimensional Reduction in Data Mining: a Unified Framework" by Abdelkader Baggag
Computational problems are becoming data intensive. Data is growing exponentially at an alarming rate. This poses big challenges and offers opportunities. Dimensionality reduction algorithms transform data for the sake of easier computation and to reduce the effect of noise and in order to extract the main features from the data. Geometrically intuitive and mathematically rigorous insight can be gained by leveraging the information content of the data, i.e., while the data is extrinsically high-dimensional, there is evidence that it lies near a low-dimensional manifold. This information is essential in the design of efficient and scalable algorithms.
In this tutorial, we propose to explore a set of spectral-based algorithms for big data. These include linear techniques, such as PCA and its variants; and nonlinear techniques (manifold learning), such as Locally Linear Embedding, Isometric feature mapping, Laplacian eigenmaps, and hessian eigenmaps. These algorithms are essentially optimization techniques on the Grassmann/Stiefel manifold. A unified framework will be provided.