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Dr. Brahim Elbhiri
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
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Academic Career Length
5Years (2022-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Conference Paper
The widespread integration of low-power electronic devices in IoT, biomedical, and sensing applications has intensified the demand for energy-autonomous solutions. Radio Frequency Energy Harvesting (RFEH) offers a promising alternative by leveraging ambient RF signals available in both indoor and outdoor environments. Despite its conceptual appeal, practical deployment still faces major challenges. This systematic literature review (SLR) examines 25 recent studies, following the PRISMA methodology, to provide a comprehensive overview of current RFEH architectures. It focuses on three critical components: receiving antennas, impedance matching circuits (IMCs), and RF-to-DC rectifiers. Design strategies are reviewed and compared across antenna types, matching techniques, and rectifier configurations. The review also highlights persistent challenges and outlines directions for the development of compact, efficient, and robust energy-harvesting systems for next-generation wireless technologies.
Conference Paper
AAABDELALI ABDESSADAK
ABDELALI ABDESSADAKHGHicham Ghennioui
Hicham GhenniouiBEBrahim Elbhiri
Brahim ElbhiriNTNadège Thirion-Moreau
Nadège Thirion-MoreauMAMounir Abraim
Mounir AbraimSMSafae Merzouk
Safae MerzoukAccumulation of dust on PV panels is a big challenge, especially in dry and semi-arid environments like Morocco, where the number of dust particles in the atmosphere diminishes the efficiency of solar panels severely. The review analyzes 30 recent studies, which provide insight into performance degradation by dust, as well as the search for solutions that mitigate this effect. Results show that dust reduced solar panel efficiency by between 10% and 40% based on environmental conditions, including dust density, composition, and length of exposure. Many technological approaches have been provided for the problem, including autonomous cleaning systems and advanced coatings, yet economic and scalability barriers are still in existence. Also, using AI in predictive maintenance provides good opportunities to optimize solar panel cleaning schedules to enhance energy production. This review concludes with the observation that, going forward, more research on long-term solutions and the development of sustainable and cost-effective cleaning technologies is urgently needed in order to better exploit solar energy in dusty environments.
Conference Paper
LMLoubna MEZIANE
Loubna MEZIANEWAWafae Abbaoui
Wafae AbbaouiSASoukayna Abdellaoui
Soukayna AbdellaouiBEBrahim Elbhiri
Brahim Elbhiri
ZITI SoumiaThe review “Symbolic Approaches for Explainable Artificial Intelligence” discusses the potential of symbolic AI to improve transparency, contrasting it with opaque deep learning systems. Though connectionist models perform well, their poor interpretability means that they are of concern for bias and trust in high-stakes fields such as healthcare and finance. The authors integrate symbolic AI methods—rule-based reasoning, ontologies, and expert systems—with neuro-symbolic integrations (e.g., DeepProbLog). This paper covers topics such as scalability and integrating knowledge, proposing solutions like dynamic ontologies. The survey concludes by advocating for hybrid AI approaches and interdisciplinary collaboration to reconcile technical innovation with ethical and regulatory demands.
24 January 2025
Book Chapter
YAYoussef Akarne
Youssef AkarneAEAhmed Essadki
Ahmed Essadki
TNTamou Nasser
Tamou Nasser
BEBrahim Elbhiri
Brahim ElbhiriHLHammadi Laghridat
Hammadi LaghridatConference Paper
SASoukayna Abdellaoui
Soukayna AbdellaouiWAWafae Abbaoui
Wafae AbbaouiLMLoubna MEZIANE
Loubna MEZIANEBEBrahim Elbhiri
Brahim ElbhiriSZSoumia Ziti
Soumia ZitiTraditional relational databases have been widely used for many years and have been the go-to choice for the industry. However, the emergence of NoSQL databases coincided with the increasing popularity of the Internet, social networks, and cloud computing. Data migration has become a crucial topic, due to the rapid growth of applications and the ever-expanding amount of data being collected. This has led to a shift from relational database management systems (RDBMS) to NoSQL databases, also known as not only SQL. This article compares the characteristics of both database architectures, SQL and NoSQL, focusing on aspects such as scalability and performance, flexibility, and security. Additionally, the role of AI in streamlining the migration process will be explored.
26 August 2025
Book Chapter
MHMohamed Hachimi
Mohamed HachimiIGIsmail EL Gaabouri
Ismail EL GaabouriBEBrahim Elbhiri
Brahim Elbhiri
Saad MotahhirMBMohammed Boussetta
Mohammed BoussettaAbout Me
Dr. Brahim El Bhiri is a researcher and innovation leader specializing in artificial intelligence, smart systems, IoT, and digital transformation. He holds a PhD in Computer Science and Telecommunications from Mohammed V University (Morocco) and UPC Barcelona (Spain). He currently serves as Head of Research & Development and Director of the CEIRA Center of Excellence in Innovation and Applied Research at Harmony Technology, Rabat.
With over 15 years of experience, his work focuses on bridging research and industry, particularly in wireless sensor networks, embedded systems, data processing, renewable energy, and Industry 4.0. He has authored more than 140 scientific publications, 11 books, and 22 book chapters with leading international publishers, including MDPI, Springer, IEEE and holds several patented innovations.
Dr. El Bhiri has received numerous international awards, including multiple gold medals at prestigious innovation exhibitions (ISIF, INTARG, Geneva, iCAN, ITE, Silicon Valley). He is actively involved in the scientific community as a reviewer for several journals, co-editor of special issues, and a member of technical program committees for international conferences.