Associate Professor

Ph.D.  University of South Paris 11, Paris, Wireless Ad Hoc Networks & Telecoms, 2010.

M.Sc.  National Engineering School of Tunisia ENIT, Tunis, Networks & Telecoms, 2004.

B.Sc.   University of Tunis EL Manar, Computer Science Engineering, 2001.


Bio

Dr. Fatma OUTAY is an Associate Professor in the College of Technological Innovation (CIT) at Zayed University, Dubai. She is a senior researcher in Computer Engineering, IoT and Mobile Wireless Networks and Telecommunications. She holds a Ph.D. from the University of Paris Sud 11 (France). Dr. Fatma has been An assistant Professor at the high school of Business in Tunisia from 2004 to 2007. In earlier 2006, Dr. Fatma has participated in “Smart Home for elderly people” project as an invited senior researcher at University of Florida before joining the University of Paris Sud 11 as a Lecturer/ATER in 2007. In 2008, She also led an international research project “CMCU: Committee Mixt of Universities Cooperation” in collaboration with the Tunisian Ministry of High Education and EGIDE France which is a key partner of the French Ministry of Foreign Affairs and other institutions.  In 2010, she joined the University of Paris 12 as an Assistant Professor. She joined later Telecoms Sud Paris as a Post Doc researcher in 2011. From 2008 to 2012, during her Ph.D. and Post Doc, Dr. Fatma has participated in several national and international research projects mainly Poseidon and Cariocas in collaboration with Alcatel Lucent, Thales, Orange Labs and other academic institutions in Europe.  Dr. Fatma has published several papers in referred journals and conferences. She is active in the research field by being part of international conferences organization committees, reviewing papers, etc. During her academic Career, Dr. Fatma has been an active member in some Tunisian programs based on national solidarity like the presidential 21-21 program aimed to facilitate the integration of young people and generally all job seekers in the labor market, C2I certification program, ATTR association, etc. Prior to working at Zayed University, Dr. Fatma has joined Bouygues Telecoms in 2012, which is one of the three main Telecoms Operators /ISPs in France, as a “Wi-Fi Expert/Architect“ for three years enabling negotiation of SLA agreements and defining technical support and incident management processes with different contributors and suppliers implementing internal and external processes as per ITIL recommendations.

 
Office

Dubai Academic City, (Wing E-L1-020)

Phone:

+9714 402 1789

Email:
Teaching Areas

-          Research Methods

-          Communication Networks

-          Computer Networks Foundations

-          Problem Solving and Programming language

-          Management of Information System

-          Wireless Sensor Networks and IoT

-          IT Essentials

-          CCNA

Research and Professional Activities

My research and scholarly interests are rooted in the assertion that research and teaching are vitally and inseparably linked. My scholarly interests lie in Wireless and Mobile Networks concepts and theory. During my PhD studies, my research activities have addressed several concerns regarding Wireless Networks and Mobile Ad Hoc Networks (MANETs) and their middleware applications such as Service Discovery and Routing Protocols. More specifically, my PhD research project has asserted that integrating service discovery with routing in MANETs, which is known as cross-layer approach, by adopting some optimization techniques, can lead to a reliable and efficient protocol in terms of overhead reduction, energy consumption optimization and service discoverability.

During my PhD, I was also part of two European projects POSEIDON and CARRIOCAS in collaboration with national and European partners, academic and industrial like Thales, Alcatel Lucent and France Telecoms. My contributions to these projects were part of 1) designing and implementing an ultra-high bit rate network reconfigurable according to grid applications connectivity requirements, and 2) developing tools and concepts required to face the increasing complexity of next generation networks that offers wireless Internet services. 

During my Post-Doctoral position at Telecoms Sud Paris, my research activities have focused on QoS provisioning in Home Automated Networks over IEEE 802.11n. Demands for QoS challenging wireless multimedia services are continuously increasing for both professional and entertainment needs. Efficient wireless technologies, able to offer the corresponding throughput and QoS are required. In 2011, the IEEE 802.11n was the latest wireless standard. It introduces many improvements at both Physical and MAC layers. However, and despite the increase of the physical data rate, the large overhead associated with channel access and packet transmission schemes reduces its overall efficiency, mainly at the MAC layer. To this end, we have proposed QoS-HAN: a new scheme for the 802.11n aggregation process. QoS-HAN project was in collaboration with Orange Labs/ France Telecoms and the University Paris 6, and is mainly designed to meet the requirements of multimedia services over Home Automated Networks (HAN). It takes into consideration the size of the packet during aggregation in order to meet the QoS requirements in the Home Automated Networks.

At Zayed University, my research/scholarly agenda has been built upon my past and present scholarship of discovery. The area of investigation I have been interested in is Smart Cities and Wireless Communication research areas and mainly Connected Mobility and Connected Vehicles (CV) as a part of the most challenging ad hoc networks, aiming mainly to enhance driver safety during severe weather conditions and road traffic criticism, and ensure trustful V2V and V2I (Vehicle to Vehicle and Vehicle to Infrastructure) communication in order to avoid the drivers’ misleading in critical situations. Fast enough, and after setting up several international collaborations my research area has been extended to other related directions including and not limited to: 1) Intelligent Transportation Systems (ITS) aiming to provide innovative services relating to different modes of transport and traffic management and enable users to be better informed and make safer, more coordinated, and smarter use of transport networks. 2) Crowd Sensing and Mobile Apps usage for visibility perception and estimation aiming to contribute towards Roads safety. 3) Futuristic Shared Mobility aiming to increasingly allow the car to become a platform for drivers and passengers to use their transit time for personal activities, which could include the use of novel forms of media and services. 4) IoT, as the vehicle and road safety can be boosted by linking V2V and IoT. 5) UAV Applications in Intelligent Transport Systems and Smart Cities. 6) Combined Augmented Reality (AR) and Artificial Intelligence (AI) in smart construction field as an urgent cutting-edge solution to decrease costs, optimize operations and maintain standards, especially in the local context of the UAE which is known with its enormous construction sector. 7) Privacy and Security in Connected Vehicles Ecosystems, as the large variety of the IoT technologies not being standardized yet contribute to security issues in this area of the automotive industry.

Referred articles

 

F Outay, S Galland, N Gaud, A Abbas-Turki. “Simulation of connected driving in hazardous weather conditions: general and extensible multiagent architecture and models”. Elsevier Ltd, Engineering applications of artificial intelligence (2021). Volume 104, Pages 116-129 (Q1 Journal)

Y El-Hansali, F Outay, AYasar, S Farrag, M Shoaib, M Imran, H Hussain Awan. “Smart Dynamic Traffic Monitoring and Enforcement System”.  Computers, Materials and Continua (2021) (Tech Science Press). Volume 67, Issue 3, Pages 2797(Q1 Journal)

F Outay, N Jabeur, H Haddad, Z Bouyahia, H Gharrad. “Toward an Intelligent Driving Behavior Adjustment Based on Legal Personalized Policies Within the Context of Connected Vehicles”. Frontiers in Built Environment (2021), Pages 92 (Q2 Journal)

 

F Outay, HA Mengash, M Adnan. “Applications of Unmanned Aerial Vehicle (UAV) in 1 Road Safety, Traffic and Highway Infrastructure Management: Recent Advances and Challenges”. Elsevier, Transportation Research Part A (2020).  Volume 141, Pages 116-129 (Q1 Journal)

A Ahmed, F Outay, SOR Zaidi, M Adnan, D Ngoduy. “Examining queue-jumping phenomenon in heterogeneous traffic stream at signalized intersection using UAV-based data”. Springer Personal and Ubiquitous Computing Journal (2020), pp 1-16. (Q2 Journal)

S G Farrag, F Outay, A Ul-Haque Yasar, Y El-Hansali. “Evaluating Active Traffic Management (ATM) Strategies under Non-Recurring Congestion: Simulation-Based with Benefit Cost Analysis Case Study”. MDPI Sustainability Journal (2020), Volume 12, Issue 15, pages 6027. (Q2 Journal)

M Adnan, F Outay, S Ahmed, E Brattich, S di Sabatino, D Janssens. “ Integrated agent-based microsimulation framework for examining impacts of mobility-oriented policies”. Springer Personal and Ubiquitous Computing journal (2020), pp 1-13. (Q2 Journal)

S G Farrag, F Outay, A Ul-Haque Yasar, D Janssens, B Kochan, N Jabeur. “Toward the improvement of traffic incident management systems using Car2X technologies”. Springer Personal and Ubiquitous Computing journal (2020). (Q2 Journal)

AH Afridi, F Outay. “Triggers and connection-making for serendipity via user interface in recommender systems”. Springer Personal and Ubiquitous Computing journal (2020). (Q2 Journal)

F Outay, B Taha, H Chaabani, F Kamoun, N Werghi. “Estimating ambient visibility in the presence of fog: a deep convolutional neural network approach”. Springer, Personal and Ubiquitous Computing Journal (2019), pp 1-12. (Q2 Journal)

P P Rebouças Filho, S L Gomes, N M Mendonça e Nascimento, C  MS Medeiros, F Outay, Victor Hugo C de Albuquerque. “Energy production predication via Internet of Thing based machine learning system”. Elsevier, Future Generation Computer Systems (2019), Volume 97, pp 180-193. (Q1 Journal)

R Waseem Anwar, A  Zainal, F Outay, A Yasar, S Iqbal. “BTEM: Belief based trust evaluation mechanism for Wireless Sensor Networks”. Elsevier, Future Generation Computer Systems (2019), volume 96, pp 605-616. (Q1 Journal)

F Kamoun, F Outay. “IP/MPLS networks with hardened pipes: service concepts, traffic engineering and design considerations”. Springer Journal of Ambient Intelligence and Humanized Computing (2019), volume 10, pp 2577-2584. (Q1 Journal)

F  Outay, F Kamoun, C  Sommer, N Jabeur, S El-Amine. “Investigation of the impact of a wireless Fog Warning System with respect to road traffic on a highway”. Springer Jounal of Personal and Ubiquitous Computing (2018). (Q2 Journal)

Book Chapters

Faouzi Kamoun, Hazar Chaabani, Fatma Outay. A Survey of Approaches for Estimating Meteorological Visibility Distance Under Foggy Weather Conditions. Published by IGI Global in “Global Advancements in Connected and Intelligent Mobility: Emerging Research and Opportunities” (2020). Pages: 28, DOI: 10.4018/978-1-5225-9019-4.ch002

Referred Proceedings

Outay, F., Malik, H. (2021).“What do Developers Reply to? An Empirical Study of the Top Unmanned Aerial Vehicles (UAVs) Apps”. The 33rd International Conference on Software Engineering and Knowledge Engineering (SEKE 2021), volume 2021, pp 261.

Outay, F., Bargaoui, H., Chemek, A., Kamoun, F., Yasar, A. (2019).  “The COVCRAV project: Architecture and design of a cooperative V2V crash avoidance system”. Elsevier Procedia Computer Science (2019), issue 160, pp 473-478.

Kazmi, H. S.Z., Javaid, N., Imran, M., Outay, F. ”Congestion Control in Wireless Sensor Networks based on Support Vector Machine, Grey Wolf Optimization and Differential Evolution”. IEEE Wireless Days (2019), pp 1-8.

Outay, F., Kamoun, F., Kaisser, F., Alterri, D., Yasar, A. (2019). V2V and V2I Communications for Traffic Safety and CO2 Emission Reduction: A Performance Evaluation”. Elsevier Procedia Computer Science (2019), volume 151, pp 353-360

Chaabani, H., Werghi, N., Kamoun, F., Taha, B., Outay, F. (2018). Estimating meteorological visibility range under foggy weather conditions: A deep learning approach”. Elsevier Procedia Computer Science (2018), volume 141, pp 278-483.

Outay, F., Kamoun, F., Yasar, A., Shakshuki, El., El-Amine, S. (2017). ConVeh: Drinving Safely into a Connected Future. International Workshop on Connected& Intelligent Mobility (CIM2017). Elsevier, Procedia Computer Science 113(2017) 460-465.

Chaabani, H., Kamoun, F., Bargaoui, H., Outay, F., Yasar, A. (2017). A Neural network approach to visibility range estimation under foggy weather conditions. International Workshop on Connected& Intelligent Mobility (CIM2017). Elsevier, Procedia Computer Science 113(2017) 466-471.

Outay, F., Kamoun, F., Kaisser, F., & Atiqzzaman, M. (2017). Towards Safer Roads through Cooperative Hazard Awareness and Avoidance in Connected Vehicles. The 31st IEEE International Conference on Advanced Information Networking and Applications (AINA-2017).

Paudel, I., Outay, F., & Jouaber, B. (2012).  QoS-HAN: QoS provisioning in Home Automated Networks over IEEE 802.11n.   2012 IEEE Symposium on Computers and Communications (ISCC 2012).

Outay, F., Veque, V., & Bouallegue, R. (2011).  Application Layer Versus Crosslayer Protocols in MANETs.   The 5th IEEE International Conference on Advanced Networks and Telecommunication Systems (ANTS 2011).

Outay, F., Veque, V., & Bouallegue, R. (2010).  EASARD: Towards an Energy Aware Service and Route Discovery in MANETs.   the 29th IEEE International Performance Computing and Communications Conference (IPCCC'2010).

Outay, F., Veque, V., & Bouallegue, R. (2010).  An Efficient Performance Comparison of Two Cross-Layer Service Discovery Designs in MANET: BF-SD-ZRP Versus SD-OLSR.   The 36th IEEE Conference on Local Computer Networks (LCN'2010).

Outay, F., Kaisser, F., Veque, V., & Bouallegue, R. (2010).  BF-SD-ZRP: A smart scheme for integrated service and route discovery efficiency in MANETs.   The 12th IEEE International Conference on High Performance Computing and Communications (HPCC'10), 404-412.

Outay, F., Veque, V., & Bouallegue, R. (2007). Bloom filter-based Combined Service and Route discovery for Mobile Ad hoc Network. The 2007 International Conference on Intelligent Pervasive Computing (IPC-07), pp. 188-193.

 

Book Editor

2019 Fatma OUTAY, Ansar Yasar, Elhadi Shakshuki. “Global Advancements in Connected and Intelligent Mobility: Emerging Research and Opportunities”. Publisher IGI Global, Release date: July 2019, ISBN: 9781522590194, pages 278.

2020 Fatma Outay, Ansar Yasar. “Intelligent Solutions for Future and Connected Mobility”. Publisher: Springer Nature, Status: Approval First Stage -> Waiting for the production queue status, Publishing date: Oct - 2021

Journal/ special issue Guest Editor

2020 Fatma Outay, Ansar Yasar, Haroon Malik, Stephane Galland. Special Issue (CMC): “Powering the Future Intelligence – Ambient Social Media Analytic”. Publisher: Tech Science Press, Status: published online.

2020 Fatma Outay, Ansar Yasar, Haroon Malik, Stéphane Galland. Special Issue (Frontiers): “Future Trends and Transitions in Connected and Autonomous Transportation – Analysis and Trends”. Publisher: Frontier in Built Environment, published.

2020 Fatma Outay, Ansar Yasar. Special Issue (Sensors): “Selected Papers from the 4th International Workshop on Connected & Intelligent Mobility (CIM2020)”. Publisher MDPI. A special issue of Sensors (ISSN 1424-8220), published.

2020 Fatma OUTAY, Ansar Yasar, Stéphane Galland, Haroon Malik, Wanli Chang. Special Issue (MICROPRO: “Data Science Advancements in Smart Mobility”. Publisher Elsevier. Accepted and will be published.

 

RESEARCH GRANTS  

The following table provides the most important projects.

Period

Proposal Title / Agency   /Collaborators

Role

Amount

2015
   
   

  •   
  • Startup Grant        (Zayed University)

PI

AED 10,000
   
   

2016
   

  •   
  • “Towards Safer        Roads   through Connected Vehicles”
  •   
  • Research        Incentive Fund (Zayed University)
  •   
  • Oklahoma        University, USA.

PI

AED 99,750
    (~26,700 US $)

2017
 
 

  •   
  • “Fog-Adaptive          Intelligent Transport System through Cooperative Hazard        Awareness”
  •   
  • Research        Cluster (Zayed University)
  •   
  • Transportation        Research Institute, Hasselt University, Belgium.

PI

AED 414,000
    (~112,800 US $)

2017
   

  •   
  • “Using crowd          sensing-as-a-service as an enabler to the rapid development of        Smart City   applications in the UAE”.
  •   
  • Research        Cluster (Zayed University)

Co PI

AED 478,425
    (~130,255 US $)

2019

  •   
  •   An Intelligent        Augmented Reality System for Smart Construction in the   UAE
  •   
  • Research        Incentive   Fund ( Zayed University)
  •   
    •    
    • German         University of   Technology in Oman
    •   

 PI

AED 296,000

2020

  •   
  • On        Enabling Immersive Services for        Online Learning in Post Pandemic Era
  •   
  • Research        Cluster (Zayed University)

Co PI

AED   493,000

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