0009-0003-1211-1138
Kassem Anis Bouali is a PhD candidate in Computer Science at Charles University, specializing in Machine Learning and Vision in Medical Imaging. His research focuses on the development of advanced algorithms for analyzing medical data, contributing to cutting-edge solutions in healthcare technology. He earned his Master's degree in Computer Science from the University of Debrecen, where he was a participant in the TalentUD program, conducting supervised research and securing a place among the top 10% of his class. His academic journey began with a Bachelor's degree from the University of Khenchela, where he developed an ECG dashboarding system, demonstrating his skills in embedded systems and web technologies. In addition to his research, Anis has served as a Lecturer at the University of Debrecen and a Visiting Lecturer at the Guangxi University of Finance and Economics, where he taught courses in Artificial Intelligence and Big Data Analysis. He also gained practical experience as an Information Security Intern at Contemporary Amperex Technology Co., Limited, contributing to security policy enhancements and incident analysis. His research interests include Machine Learning, Medical Imaging, Cybersecurity, and the application of AI in real-world scenarios. Anis has published work on real-time bird shadow detection for autonomous UAVs, showcasing his ability to apply AI to diverse domains.
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- Fall 2023 — Lecturer: Big Data Analysis [INBGA9935-17] @ University of Debrecen/GXUFE. Developed and delivered course content to students from Guangxi University of Finance and Economics (GXUFE), focusing on the latest techniques in big data analytics, including real-world applications and industry best practices.
- Spring 2024 — Lecturer: Foundations of Artificial Intelligence [INBPA0418-21] @ University of Debrecen/GXUFE. Responsible for teaching AI fundamentals, with an emphasis on machine learning algorithms and their applications. Adapted course materials for a diverse student body, ensuring the integration of cutting-edge AI research and methodologies.
- December 2023 — Visiting Lecturer: Big Data Analysis [INBGA9935-17] @ Guangxi University of Finance and Economics, China. Finalized the course delivery and conducted the final examinations, providing in-depth lectures and assessments on advanced data analysis techniques.
- [2024] - Honored with the Dean's Appreciation Award at the University of Debrecen for academic excellence and contributions to the university community.
- [2023] - Secured 2nd place in the TDK (Scientific Student Circle Conference) at the University of Debrecen, with a nomination for the National Conference (OTDK).
- [2022] - Participated in the Talent UD program at the University of Debrecen, engaging in advanced research projects and mentorship opportunities aimed at fostering academic and professional growth.
- [2022] - Received the Stipendium Hungaricum Scholarship, a fully-funded scholarship for MSc. in Computer Science at the University of Debrecen, Hungary.
- [2024] - Certified in Generative AI with Diffusion Models by NVIDIA Deep Learning Institute.
- [2023] - Awarded the Fundamentals of Accelerated Data Science certificate by NVIDIA Deep Learning Institute.
- [2023] - Earned the AI-900: Azure AI Fundamentals certification by Microsoft.
- [2023] - Achieved IT Specialist certifications in Python, JavaScript, and Cybersecurity by Certiport.
- [2023] - Received the Cisco Certified Support Technician Cybersecurity certification by Cisco.
Publications
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Real-Time Birds Shadow Detection for Autonomous UAVs.
Kassem Anis Bouali, András Hajdu.
Part of the Book Series: Communications in Computer and Information Science ((CCIS,volume 1907))
Included in the following conference series: International Conference on Artificial Intelligence: Towards Sustainable Intelligence
SpringerLink