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The first international conference of “Intelligent Decision Science” was held at campus II of the Islamic Azad Universityids-2015-1-UAE Branch in Dubai International Academic City (DIAC) on September 4-5, 2015.

The conference, which was backed scientifically by the North American Fuzzy Information Processing Society (NAFIPS),the International Fuzzy Systems Association (IFSA) and was also supported in terms of the publication and advising services by the Intelligent Signal Processing and Communication Systems (ISPACS) , witnessed a multi-national participation of researchers from Germany ,the USA ,Poland ,Spain ,France ,the Czech Republic ,the UAE, India and Iran.


 

 


On May 26-27, IAU–UAE Branch hosted two simultaneous international conferences at its Campus II, in Dubai International Academic City.

“Management, Economy, and Financial Systems” as well as “Non-linear Systems and Optimization in Electrical and Computer Engineering” were the two conferences held under the auspices of Islamic Azad University’s Department for Research and Technology with the cooperation of the Pendar Andish Rahpooi Meshkani scientific-research institute.

The scientific committees shortlisted some 500 papers out of the 736 papers submitted to the secretariat. Researches from various universities in Shiraz, Isfahan, Tehran, and Dubai partook in the event.


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icmefs-2015-1-new icnsocee-2015-1-new


Conference General Chair: Dr. Mohammad V. Malakooti
Keynote Speakers

·       Dr. KEITH ALAN TEAGUE, PhD, PE

Professor and Immediate Past School Head School of Electrical and Computer Engineering Oklahoma State University, Stillwater, Oklahoma USA

·       Dr. Arash Taki:

Dr. Arash Taki is currently based in Dubai and manages Respiratory and Patient Monitoring solution and Innovation at Covidien in the region. He is also scientific advisor and lecturer in TUM and Computer/Biomedical Engineering Group at IAU University in Dubai

Lecture Abstract:

Wireless sensor networks have enormous potential to change the way we live, work, and play. Compressive sensing is well known as an emergent technique for under-sampling sparse signals and recovering them accurately and efficiently using a much smaller number of compressive sensed measurements than traditional Nyquist methods require.

This talk focuses on data collection in clustered wireless sensor networks employing compressive sensing. A technique consisting of the integration of compressive sensing and clustering in wireless sensor networks utilizing block diagonal measurement matrices will be introduced. The approach partitions a wireless sensor network into clusters, where each cluster head collects the sensor readings within its cluster only once and then generates compressive sensed measurements at each cluster head to be forwarded to the base station where all measurements are collected.

In this talk two methods are considered for forwarding the compressive sensed measurements from cluster heads to the base station: (i) direct transmission and (ii) multi-hop routing through intermediate cluster heads. Additional cluster-based data collection methods will be considered for comparison purposes. For further power saving, the proposed approach exploits the correlation of the sensor readings in the wireless sensor network to reduce the transmission energy cost. Expressions for total power consumption within this framework are formulated and the effects of different spars bases on the compressive sensed performance as well as the optimal number of clusters are discussed for achieving minimum energy consumption.

Total Number of Papers presented: 31
IAU Student papers: 2 Papers

1– Prediction of Stock Market Index based on Neural Networks, Genetic Algorithms, and Data Mining Using SVD

Authors: Dr. Mohammad V. Malakooti (Faculty),  Amir AghaSharif (student)

2- A Two Level-Security Model for Cloud Computing based on the Biometric Features and Multi-Level Encryption

Authors: Dr. Mohammad V. Malakooti (Faculty),  NilofarMansourzadeh (student)

Host Country: United Arab Emirates

Participating Countries:  Austria, Japan, Brazil, Lebanon, Nigeria, Oman, Taiwan, India, Malaysia, Republic of Korea, United Arab Emirates, United States, Serbia, Bahrain, Algeria, Sudan, Islamic Republic of Iran


 

ebecegc-2015-new

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Conference General Chair: Dr. Mohammad V. Malakooti
Keynote Speakers

·       Dr. KEITH ALAN TEAGUE, PhD, PE

Professor and Immediate Past School Head School of Electrical and Computer Engineering Oklahoma State University, Stillwater, Oklahoma USA

·       Dr. Arash Taki:

Dr. Arash Taki is currently based in Dubai and manages Respiratory and Patient Monitoring solution and Innovation at Covidien in the region. He is also scientific advisor and lecturer in TUM and Computer/Biomedical Engineering Group at IAU University in Dubai

Lecture Abstract:

Wireless sensor networks have enormous potential to change the way we live, work, and play. Compressive sensing is well known as an emergent technique for under-sampling sparse signals and recovering them accurately and efficiently using a much smaller number of compressive sensed measurements than traditional Nyquist methods require.

This talk focuses on data collection in clustered wireless sensor networks employing compressive sensing. A technique consisting of the integration of compressive sensing and clustering in wireless sensor networks utilizing block diagonal measurement matrices will be introduced. The approach partitions a wireless sensor network into clusters, where each cluster head collects the sensor readings within its cluster only once and then generates compressive sensed measurements at each cluster head to be forwarded to the base station where all measurements are collected.

In this talk two methods are considered for forwarding the compressive sensed measurements from cluster heads to the base station: (i) direct transmission and (ii) multi-hop routing through intermediate cluster heads. Additional cluster-based data collection methods will be considered for comparison purposes. For further power saving, the proposed approach exploits the correlation of the sensor readings in the wireless sensor network to reduce the transmission energy cost. Expressions for total power consumption within this framework are formulated and the effects of different spars bases on the compressive sensed performance as well as the optimal number of clusters are discussed for achieving minimum energy consumption.

Total Number of Papers presented: 31
IAU Student papers: 2 Papers

1– Prediction of Stock Market Index based on Neural Networks, Genetic Algorithms, and Data Mining Using SVD

Authors: Dr. Mohammad V. Malakooti (Faculty),  Amir AghaSharif (student)

2- A Two Level-Security Model for Cloud Computing based on the Biometric Features and Multi-Level Encryption

Authors: Dr. Mohammad V. Malakooti (Faculty),  NilofarMansourzadeh (student)

Host Country: United Arab Emirates

Participating Countries:  Austria, Japan, Brazil, Lebanon, Nigeria, Oman, Taiwan, India, Malaysia, Republic of Korea, United Arab Emirates, United States, Serbia, Bahrain, Algeria, Sudan, Islamic Republic of Iran


dipmwc-2015

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