Prof. Larbi Boubchir - Artificial intelligence - Best Researcher Award

University of Paris 8 - France

Author Profile

🌱 Early academic pursuits

Larbi Boubchir began his academic journey with a strong foundation in engineering, obtaining a bachelor's degree (beng) in engineering. his passion for advancing knowledge led him to pursue further studies, earning a diplôme d'études approfondies (dea) in applied mathematics and signal processing. he culminated his formal education with a phd and habilitation à diriger des recherches (hdr), solidifying his expertise in computer science and signal processing.

💻 Professional endeavors

Professor boubchir is currently a full professor at the university of paris 8, where he has made significant contributions since september 2021. he holds several key positions, including deputy director of the liasd laboratory and head of the iusd research group. his leadership extends to academic programs as well, where he oversees master's programs in cyber security, data science, and big data within the department of computer science & digital technologies. prior to his tenure at paris 8, he contributed to cutting-edge research at the french national centre for scientific research (cnrs) and served as a teaching-research fellow at northumbria university, uk.

🧠 Contributions and research focus

Dr. boubchir's research interests span a broad spectrum of cutting-edge fields, including artificial intelligence, biometrics, artificial learning, Artificial intelligence feature engineering, biomedical signal processing, and image processing. he has authored and co-authored over 100 publications, reflecting his deep engagement with these domains. his research not only advances theoretical knowledge but also has practical applications in areas like cybersecurity and healthcare, making significant impacts on both academia and industry.

🏅 Accolades and recognition

Professor boubchir's expertise has been widely recognized in the academic community. he is a senior member of the ieee and is affiliated with various prestigious ieee societies such as ieee sps, ieee embs, ieee smc, ieee computer society, and ieee biometrics council. his leadership in organizing international workshops, including those on machine learning for eeg signal processing and artificial learning for cybersecurity, Artificial intelligence underscores his standing as a thought leader in his field. in addition to his academic accolades, he serves on editorial boards and as an associate editor for numerous journals, further establishing his influence in the global research community.

🌍 Impact and influence

Through his research and leadership, dr. boubchir has significantly influenced the fields of artificial intelligence and data science. his work on biomedical signal processing and image processing has contributed to advancements in healthcare technologies, while his research in Artificial intelligence cybersecurity has provided new insights into protecting digital systems. his role in organizing international workshops has fostered global collaboration and knowledge exchange, further extending his impact beyond france to the international research community.

📚 Legacy and future contributions

As a full professor and a leader in multiple academic and research initiatives, larbi boubchir's legacy is one of innovation and education. his ongoing research and mentorship are shaping the next generation of scientists and engineers. with his continuous involvement in cutting-edge research and his dedication to academic excellence, professor boubchir is poised to make even more significant contributions to the fields of artificial intelligence, cybersecurity, and biomedical engineering in the years to come.

Notable Publications

Probabilistic Decision Tree Ensembles for Detecting Infectious Diseases using Routine Blood Tests 2024

Enhancing 2D-3D facial recognition accuracy of truncated-hiden faces using fused multi-model 2024

Enhancing Shared Image Security in Networked Environments: A Digital Watermarking Approach 2024(1)

Deep Face Recognition based on an Optimized Deep Neural Network using ZFNet 2023

Conventional and Heterogeneous Cascade Reservoir Computing for Arrhythmia Detection 2023

Early Academic Pursuits

Dr. Jongchan Baek's academic journey commenced at Sungkyunkwan University, where he pursued a Bachelor of Science in Mathematics, graduating with an outstanding GPA of 4.14 out of 4.5. This early academic foundation laid the groundwork for his subsequent pursuit of knowledge in the field of Convergence IT Engineering at Pohang University of Science and Technology (POSTECH), where he earned his Ph.D. His doctoral thesis, supervised by Professor Soohee Han, focused on "Performance-Preserving Sequential Multitask Reinforcement Learning and Its Application to Control Systems," showcasing his early interest in reinforcement learning and control applications.

Professional Endeavors

Dr. Baek's professional journey as an AI researcher at the Electronics and Telecommunications Research Institute (ETRI) in South Korea has been characterized by a profound commitment to advancing the fields of reinforcement learning, embedded applications, robotic control, Robotics and anomaly detection. His involvement in diverse projects, such as the development of advanced air-mobility platforms, DNA+Drone platforms, and drone control technologies, underscores his expertise in applying AI techniques to real-world applications.

Contributions and Research Focus

Throughout his career, Dr. Baek has made significant contributions to the field of AI and robotics through his research endeavors. His publications in reputable journals and conferences demonstrate his expertise in areas such as reinforcement learning for control systems, bridging the simulation-to-real gap, electrochemical-mechanical modeling, and continual learning methods. His research focus on reinforcement learning control algorithms, Robotics particularly in the context of embedded applications and robotic control, has contributed to advancements in autonomous systems and anomaly detection techniques.

Accolades and Recognition

Dr. Baek's outstanding contributions to the field have been recognized through numerous awards and honors. Notable accolades include the 2nd Prize in the NeurIPS 2022 Real Robot Challenge, Best Paper Awards at prestigious conferences like KIEE and ICROS, and recognition for his contributions to various research projects funded by government agencies and industry partners. These accolades underscore his exceptional research acumen and the impact of his work within the scientific community.

Impact and Influence

Dr. Baek's research has had a profound impact on both academia and industry, driving advancements in autonomous systems, robotic control, and anomaly detection technologies. His innovative approaches to reinforcement learning control and embedded applications have contributed to the development of more efficient and adaptive systems capable of Robotics addressing real-world challenges. His collaborations with industry partners and involvement in major projects reflect the practical significance of his research in shaping the future of AI-enabled technologies.

Legacy and Future Contributions

As Dr. Baek continues to pursue his research endeavors, his legacy as an AI researcher committed to advancing the frontiers of knowledge in reinforcement learning, embedded applications, and robotic control is assured. His future contributions are poised to further propel the field forward, with a focus on developing more robust and scalable AI solutions for complex real-world applications. Dr. Baek's dedication to excellence and his passion for pushing the boundaries of AI technology ensure that his impact will be felt for years to come.