Ameni Boumaiza | Hamad Bin Khalifa University

Dr. Ameni Boumaiza

Scientist

Office location

HBKU Research Complex, South Building B2-RDC-C001

Dr. Ameni Boumaiza

Scientist

Educational Qualifications

PhD in Computer Science (Graduated with honors from the Jury)

MS in Artificial Intelligence and Computer Science (“Awarded Summa cum Laude")

Entity

Qatar Environment and Energy Research Institute

Biography

Dr. Ameni Boumaiza is currently working as a Scientist at Qatar Environment and Energy Research Institute (QEERI), Hamad Bin Khalifa University. She is serving as a Project Lead of the PV Adoption and Trade project under the Energy Management Program and has worked on several projects funded by the Qatar National Research Fund. Her primary research focus is on Solar Energy management and smart systems based on AI. She has completed several studies on solar PV adoption, techno-economic modeling of energy systems and energy trading applications based on the Blockchain technology.

Prior to joining HBKU/QEERI, Dr. Ameni Boumaiza received a full PhD merit-based scholarship from the Ministry of Higher Education and Research in France. She got her PhD in 2013 in Computer Engineering from the French Institute for Research in Computer Science and Automation INRIA and the University of Lorrain, France and from the Computer Vision Center CVC in UAB Barcelona, Spain. She has held various positions in academia and industry in France. She was a part of the French Alternative Energies and Atomic Energy Commission Institute CEA-List and the Vision and Content Engineering Lab LVIC in Saclay, Paris, France. Having benefited from closed interactions with laboratories, companies such as CEA-LVIC, INRIA, Thales, she got a strong background in artificial intelligence, renewable energy systems, computer vision, machine learning and robotics.

Her scientific research focuses on strategies addressing energy systems, artificial intelligence, robotics, image processing data science with an emphasis on data mining and machine learning and evaluative techniques to create solutions to complex challenges. She is specialized in software development modeling, simulation, testing, and quality assurance. She managed complex technical BI projects and collaborated directly with global engineering and research teams to create business intelligence solutions, and identify and assess new technologies prior to the software implementation. 

PhD in Computer Science (Graduated with honors from the Jury)

University of Lorrain, the National Institute for Research in Computer Science and Automation INRIA; Nancy FRANCE.

2013

MS in Artificial Intelligence and Computer Science (“Awarded Summa cum Laude")

INRIA the National Institute for Research in Computer Science and Automation University of Lorraine, ENSI; FRANCE.

2009

Engineer Degree in Computer Science (“Awarded Summa cum Laude")

INRIA the National Institute for Research in Computer Science and Automation, University of Lorraine-ENSI; FRANCE.

2009

  • Renewable Energy
  • Blockchain Technology
  • Energy Trading Applications
  • Techno-economic Modeling
  • Smart Cities
  • Techno-economic Modeling
  • Artificial Intelligence
  • Neurosciences
  • Computer Vision
  • Image Processing
  • Machine Learning
  • Software Development
  • Data Mining
  • Robotics
  • Image Processing
  • Smart Systems Modelling
  • Design and Development

Project lead, Scientist

Qatar Environment and Energy Research Institute, HBKU

Current Position

Software Engineer

Power International Holding, Qatar

2015 - 2017

Computer Vision Engineer/Postdoctoral Researcher

The French Alternative Energies and Atomic Energy Commission (CEA) Paris-France

2013 - 2015

Researcher Engineer

INRIA Grand-Est Nancy-France

2010 - 2013

Assistant Professor

University of Mathematics and Computer Science, UFR France, Master 2 MIAGE, Models Engineering, Data Mining, Information System Analysis

2010 - 2013

Book
  • “Graphics Recognition and Spotting in Graphical Documents Based on a Galois Lattice Structure”, “French Academic Press (January 1, 2014)”.
Book Chapter
  • Ameni Boumaiza. Antonio Sanfilippo, “A GIS Agent Based Modeling Environment for Blockchain Based Energy Trading”, Recent advances in Renewable Energy Technologies, Elsevier 2022.
  • Ameni Boumaiza, M. Sajjad, A. Sanfilippo, N. Mohandes, “Energy Trading Blockchain Framework Agents Modeling Approach”, Springer Special issue, International Conference on Sustainable Energy-Water-Environment Nexus in Desert Climate.
Invention Disclosure
  • Antonio P. Sanfilippo, Ameni Boumaiza, Nassma Mohandes, 2018 “Method and System for Automating Multi-Criteria Decision Analysis and Multi-Criteria Decision Making”, filed 2 August 2018.
Journals
  • Ameni Boumaiza, M. Sajjad, A. Sanfilippo, N. Mohandes, 2019 “Energy Trading Blockchain Framework Agents Modeling Approach”, Springer Special issue, International Conference on Sustainable Energy-Water-Environment Nexus in Desert Climate, ICSEWEN 2019.
  • Ameni Boumaiza, S. Abbar, N. Mohandes and A. Sanfilippo, 2018 "Modeling the Impact of Innovation Diffusion on Solar PV Adoption in City Neighborhoods." International Journal of Renewable Energy Research, vol. 8, no. 3, 2018, p.1749+.
  • Ameni Boumaiza, 2015 "A survey on sentiment analysis and visualization." Journal of Emerging Technologies in Web Intelligence, vol. 7, no. 1, 2015, p. 35+.
IEEE Conferences
  • Boumaiza A., Sajjad M., Sanfilippo A., 2020 “Agents-based Modeling for a Transactive Energy Trading Blockchain Framework”. 2020 Proceedings of European Photovoltaic Solar Energy Conference, EUPVSEC 2020.
  • Sajjad M., Boumaiza A., Sanfilippo A., 2020 “An optimal Agent-based Behaviors Model for Peer-to-Peer Energy Trading linked to Blockchain”. 2020 Proceedings of European Photovoltaic Solar Energy Conference EUPVSEC 2020.
  • Ameni Boumaiza, M. Sajjad, A. Sanfilippo, N. Mohandes, 2019 “Energy Trading Blockchain Framework Agents Modeling Approach”, International Conference on Sustainable Energy-Water-Environment Nexus in Desert Climate, ICSEWEN 2019.
  • Ameni Boumaiza, Antonio Sanfilippo, Nassma Mohandes, 2019 Multi-Criteria Decision Analysis for Renewable Energy Applications. The 36th European Photovoltaic Solar Energy Conference and Exhibition in Marseille, France.
  • Ameni Boumaiza, S. Abbar, N. Mohandes and A. Sanfilippo, 2018 "Innovation diffusion for renewable energy technologies," 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018), Doha, 2018, pp. 1-6.
  • Ameni. Boumaiza, S. Abbar, N. Mohandes and A. Sanfilippo, 2018 "Modeling innovation diffusion for renewable energy technologies in city neighborhoods," 2018 9th International Renewable Energy Congress (IREC), Ham Mamet, 2018, pp. 1-6.
  • Antonio Sanfilippo, Ameni Boumaiza and Nassma Mohandes, 2019 Multi-Criteria Decision Analysis in Residential PV Adoption. The International Conference on Innovative Applied Energy (IAPE’19), 14-15 March, 2019, St Cross College, University of Oxford, UK – KEYNOTE TALK
  • N. Mohandes, Ali Elrayyah, Antonio Sanfilippo, Ameni Boumaiza, 2018 Impact of PV Power Loss/Gain on PV Power Cost and PV Adoption. The 35th European Photovoltaic Solar Energy Conference and Exhibition in Brussels, Belgium.
  • N. Mohandes, Ali Elrayyah, Antonio Sanfilippo, Ameni Boumaiza , 2018 Impact of PV Power Loss/Gain on PV Power Cost and PV Adoption, IAPE 2018.
  • Ameni Boumaiza, 2016 A Survey on Sentiment Analysis and Visualization, Qatar Foundation Annual Research Conference ARC 2016.
  • Ameni Boumaiza, Salvatore Tabbone. 2012 Impact of a Codebook Filtering Step on a Galois Lattice Structure for Graphics Recognition. 21st International Conference on Pattern Recognition, Nov 2012, Tsukuba International Congress Center, Japan. pp.4, 2012.
  • Ameni Boumaiza, Salvatore Tabbone. 2012 Symbol Recognition using a Galois Lattice of Frequent Graphical Patterns. 10th IAPR International Workshop on Document Analysis Systems, Mar 2012, Gold Coast, Queensland, Australia. 2012.
  • Ameni Boumaiza, Salvatore Tabbone. 2011 A Novel Approach for Graphics Recognition based on Galois lattice and Bag of Words representation, 10th International Conference on Document Analysis and Recognition - ICDAR 2011, Sep 2011, Pekin, China. IEEE, pp.829-833, 2011.
  • Ameni Boumaiza, Salvatore Tabbone, 2011 Classification de symboles avec un treillis de Galois et une representation par sac de mots, "ORASIS" International Congress for researchers in computer vision, 2011 France.
  • Ameni Boumaiza, Salvatore Tabbone. 2011 Symbol Spotting Based on the Galois Lattice Structure, 11th IAPR International Workshop on Document Analysis Systems, DAS 2011.

  • 2021; Awarded Project, QNRF (PI-NPRP 13th Cycle, January 2021).
  • 2013; Ph. D in Computer Science: Graduated with honors from the Jury; France.
  • 2010; Full Ph-D 3-years Scholarship Grant from the Ministry of Higher Education and Research and the National Institute for Research in Computer Science and Automation INRIA, France and the Eureka SCANPLAN Project (Barcelona, Spain).
  • 2009; Major in MS in Artificial Intelligence, Data Decision Analytics, Robotics and Computer Science, INRIA the National Institute for Research in Computer Science and Automation INRIA University of Lorraine, ENSI; France. 
  • 2009; Major in Computer Science Engineering; Tunisia, France.
  • 2009; Full Engineer-Internship Abroad Scholarship & Grant from the National School in Computer Science, ENSI-Tunisia and the Ministry of Higher Education and Research, France.
  • 2009; Full Master Internship Abroad Scholarship Grant from the National School in Computer Science, ENSI-Tunisia and the Ministry of Higher Education and Research, the National Institute for Research in Computer Science and Automation INRIA France.