Ahcene Bounceur | Cybersecurity | Best Researcher Award

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Dr. Ahcene Bounceur | Cybersecurity | Best Researcher Award

Associate Professor at  University of Sharjah, United Arab Emirates.

Dr. Ahcene Bounceur is an Associate Professor at the University of Sharjah, specializing in cybersecurity, IoT, smart cities, and data science. Previously, he held faculty positions at KFUPM and University of Western Brittany (UBO), where he was a senior associate professor and qualified for professorship .He earned his Ph.D. in Micro and Nano Electronics from Grenoble INP, France, in 2007 and an HDR (State PhD) in Computer Science in 2014. His research includes Digital Twin tools for smart infrastructure security, pseudo-polygons for cybersecurity, and simulation tools for WSN and IoT. Dr. Bounceur is the main developer of Cup Carbon, a renowned IoT network simulator, and has led projects like ANR PERSEPTEUR and Suidia. He has 200+ publications, served as a keynote speaker, and held editorial roles in journals like MDPI Sensors. Recognized for his contributions, he won 3rd place in the IEEE TTTC Doctoral Thesis Contest and holds a patent for an IoT-based digital health platform.

Publication Profile

Scopus

🎓Academic Qualifications of Ahcene Bounceur

Dr. Ahcene Bounceur is a distinguished computer scientist with expertise in microelectronics, data mining, and wireless sensor networks. He earned his HDR (State PhD) in Computer Science from the University of Western Brittany (UBO) in 2014, focusing on models and simulation for mixed circuit testing. In 2007, he obtained a PhD in Micro and Nanoelectronics from the TIMA Laboratory (Grenoble), specializing in computer-aided test platforms. His M.Sc. in Operations Research (2003) and Engineering degree (2002) were awarded in Grenoble and Bejaia, respectively. Additionally, he gained early programming experience in 1995 at the Micro-Services School of Béjaia. 💻📡

Professional Background

Dr. Ahcene Bounceur is an Associate Professor at the University of Sharjah (2024–Present) and previously held the same role at KFUPM (2023–2024). Since 2014, he has been qualified for professorship at the University of Western Brittany (UBO), where he served as a Senior Associate Professor (2020–2023) and Associate Professor (2008–2020). His earlier roles include Assistant Professor at ENSERG (2007–2008) and Postdoctoral Researcher at TIMA Laboratory (2006–2007). He has also held leadership roles, including Head of Computer Science at UBO (2011–2023) and Member of France’s National Council of Universities (2021–2023). 🏫📡

🔬 Research Focus of Ahcene Bounceur

Dr. Ahcene Bounceur’s research spans Artificial Intelligence , Cybersecurity , Data Mining , and Circuit Testing . Since 2012, he has focused on Collaborative AI (CupCarbon Klines simulator), Digital Twin IoT for cybersecurity in critical infrastructures, pseudo-polygons for polygonal hull determination, and statistical modeling for sensor networks. From 2002–2012, his work emphasized manufacturing process variations, Monte Carlo simulations for test metrics, and non-linear circuit modeling using copula theory. His interdisciplinary expertise integrates AI, IoT, cybersecurity, and statistical modeling to enhance smart infrastructures and sensor networks. 🚀📡

Publication Top Notes

🔹 A Secure and Lightweight ZKP-based Mutual Authentication Scheme with Key Agreement
      Year: 2025 |  Arabian Journal for Science and Engineering |

🔹 Integrating Homomorphic Encryption in IoT Healthcare Blockchain Systems
      Year: 2024 | Ingenierie des Systemes d’Information |

🔹 Blockchain Use Cases in the Sports Industry: A Systematic Review
     Year: 2024 |  International Journal of Networked and Distributed Computing | 🔍 Citations: 3

Conclusion

Ahcene Bounceur is a distinguished researcher with a strong record of high-impact publications, including multiple papers in Q1 journals, some ranking in the top 4%, 8%, and 12%, highlighting his significant research influence. His expertise spans diverse areas such as watermarking, wireless sensor networks (WSN), digital twins, security protocols, data mining, and circuit design, demonstrating interdisciplinary proficiency. His recent and consistent contributions, particularly in 2024 and 2025, reflect his sustained excellence in research. Additionally, his collaborations with leading researchers and institutions showcase his global research impact and networking strength. These achievements make him a strong contender for the Best Researcher Award. 🚀

 

 

 

Noor .A. Rashed | Computer Science Award | Women Researcher Award

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Dr . Noor .A. Rashed | Computer Science Award | Women Researcher Award

Dr. Noor Rashid, Iraq

Dr. Noor Rashid is a Ph.D. candidate at the University of Technology, Baghdad, specializing in Computer Science. She earned her master’s degree from the University of al-Anbar in 2018. Her research covers areas such as Artificial Intelligence, secure data systems, machine learning, data mining, image processing, and project management automation. Her current focus is on optimization algorithms, particularly multi-objective optimization (2022-2023). Dr. Rashid has contributed significantly to the field, including her recent publication on evolutionary and swarm-based algorithms. She continues to advance AI and optimization research in her academic journey.

 

Publication profile

Google Scholar

Orcid

Employment

Dr. Noor Rashid is currently employed at the University of Technology, Baghdad, Iraq, in the Department of Computer Science. As a dedicated researcher and educator, she contributes to the university’s mission by advancing studies in Artificial Intelligence, secure data systems, and optimization algorithms. Her role involves teaching and mentoring students while conducting innovative research in multi-objective optimization and machine learning. Dr. Rashid’s work continues to impact both the academic community and the broader technological landscape through her involvement in cutting-edge computer science projects.

 

Education and Qualifications 🎓📜

Dr. Noor Rashid is currently pursuing her Ph.D. in Computer Science at the University of Technology, Baghdad, Iraq, from November 2021 to November 2024. Her doctoral research focuses on advanced areas such as optimization algorithms and Artificial Intelligence, contributing to cutting-edge technological advancements. Prior to this, Dr. Rashid earned her master’s degree from the College of Computer Science and Information Technology at the University of al-Anbar in 2018. Her academic background equips her with a strong foundation in secure data, machine learning, and project management systems, preparing her for continued success in the field.

 

Research Focus 🎯🔬

Dr. Noor Rashid’s research primarily focuses on Artificial Intelligence (AI), particularly in machine learning, optimization algorithms, and data mining. Her studies delve into complex areas such as multi-objective optimization and evolutionary algorithms, aiming to solve real-world computational problems. Additionally, Dr. Rashid has worked extensively on medical image processing, applying AI techniques like ANN and SVM to detect and classify diseases like diabetic retinopathy. Her research bridges the gap between AI and healthcare, making significant contributions to secure data, networks, and advanced algorithmic developments. 🚀🧠

 

Publication Top Notes

  • Diagnosis retinopathy disease using GLCM and ANN – N. Rashed, S. Ali, A. Dawood – J. Theor. Appl. Inf. Technol 96, 6028-6040, 2018 (Cited by: 4) 📖
  • Unraveling the Versatility and Impact of Multi-Objective Optimization: Algorithms, Applications, and Trends for Solving Complex Real-World Problems – N.A. Rashed, Y.H. Ali, T.A. Rashid, A. Salih – arXiv preprint, 2024 (Cited by: 2) 🌐
  • Advancements in Optimization: Critical Analysis of Evolutionary, Swarm, and Behavior-Based Algorithms –  Rashed, Y.H. Ali, T.A. Rashid – Algorithms 17(9), 416, 2024 📑
  • ANN and SVM to recognize Texture features for spontaneous Detection and Rating of Diabetic Retinopathy –  Rashed (Upcoming) 🔍