Assoc. Prof. Dr. Catalin Dumitrescu | Machine Learning Awards | Excellence in Research

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Assoc. Prof. Dr. Catalin Dumitrescu | Machine Learning Awards | Excellence in Research

Assoc. Prof. Dr. Catalin Dumitrescu , University POLITEHNICA of Bucharest , Romania

Catalin Dumitrescu is an accomplished academic and researcher specializing in Computing and Artificial Intelligence. Currently serving as an Associate Professor and R&D Scientific Adviser at the National University of Science and Technology POLITEHNICA of Bucharest (UNSTPB), Romania, he holds a Ph.D. in Digital Signal Processing and Machine Learning from University Politehnica of Bucharest. Catalin’s extensive career spans over 20 years in research and development within the Machine Learning Defense Industry and Cyber Defence sectors. He has held pivotal roles in R&D, Artificial Intelligence, Machine Learning Software System Architecture, and Product Management. His expertise includes Mathematical Algorithms, Software Architecture, Digital Signal Processing, and applications in defense technologies. Catalin is also a certified expert in Critical Infrastructure Risk Management and Competitive Intelligence. His research interests encompass Artificial Intelligence, Machine Learning, Deep Learning, and their applications in areas like natural language processing, image processing, and neural networks. Catalin has contributed significantly to academic literature and continues to lead research initiatives at the forefront of technological innovation in his field.

Professional Profile:

Orcid

🎓Education:

Catalin Dumitrescu holds a diverse educational background reflecting his expertise in both technical and business domains. He earned his Ph.D. in Digital Signal Processing and Machine Learning from the University Politehnica of Bucharest, Romania, where his research focused on advanced algorithms and applications in signal and image processing. Complementing his technical qualifications, Catalin pursued a postgraduate degree in International Business and Economics at Bucharest University of Economic Studies. Additionally, he holds an engineering degree from the Transportation Engineering Faculty at University Politehnica of Bucharest, specializing in Signal Processing and Image Processing. This multidisciplinary educational foundation has equipped Catalin with a comprehensive skill set bridging technology innovation with strategic business acumen.

🏢Work Experience:

Catalin Dumitrescu brings a wealth of experience across academia, industry, and defense sectors, showcasing a distinguished career path. Currently serving as an Associate Professor and R&D Scientific Adviser at the National University of Science and Technology POLITEHNICA of Bucharest (UNSTPB) in Romania since 2015, he plays a pivotal role in advancing research in Electronics & Telecommunication within the Transportation Engineering Faculty. Catalin’s industry experience includes serving as the Chief Technology Officer (CTO) at SoftGalaxy International from 2017 to 2021, where he led research and development initiatives in Artificial Intelligence. Prior to this role, he contributed significantly as a Software Systems Architect at UTI GROUP’s R&D department SYS-STD-SMART Technologies & Development from 2015 to 2017. His extensive tenure in defense research spans two decades, from 1995 to 2015, as an R&D Military Officer at the Defense Advanced Technology Institute, focusing on developing Machine Learning systems for Intelligence, Surveillance, Reconnaissance (IMINT), and Signals Intelligence (SIGINT). Catalin began his career as an Electronics Engineer at the Transport Research Institute from 1986 to 1995, laying the foundation for his subsequent achievements in technology and defense innovation

🏆Awards:

Catalin Dumitrescu holds certifications as a Certified Expert in Critical Infrastructure Risk Management and Competitive Intelligence, underscoring his specialized expertise in strategic risk assessment and competitive analysis. These certifications complement his extensive background in academia and research, enhancing his capabilities in navigating complex technological landscapes and contributing to advancements in defense and cyber security sectors.

Publication Top Notes:

  1. Artificial Intelligence Application in the Field of Functional Verification
    • Journal: Electronics
  2. Modeling and Prediction of Sustainable Urban Mobility Using Game Theory Multiagent and the Golden Template Algorithm
    • Journal: Electronics
  3. Contributions to Power Grid System Analysis Based on Clustering Techniques
    • Journal: Sensors
  4. Urban Traffic Noise Analysis Using UAV-Based Array of Microphones
    • Journal: Sensors
  5. On the Feasibility and Efficiency of Self-Powered Green Intelligent Highways
    • Journal: Energies

 

 

Mr. Patrick loic Foalem | Neural Networks Award | Best Researcher Award

Published on by Network Awards

Mr. Patrick loic Foalem | Neural Networks Award | Best Researcher Award

Mr. Patrick loic Foalem, Polytechnique montréal, Canada

Patrick L. is a Ph.D. candidate in software engineering with a keen focus on integrating AI and software engineering to enhance system effectiveness. His research centers on mining software developers’ knowledge to inform AI system development. Proficient in data analysis, visualization, machine learning, and deep learning, he excels in extracting insights from complex datasets. With expertise in cloud technologies, he aims to drive innovation in software engineering. Patrick has a rich professional background, having worked as a data scientist, cloud engineer, and software developer. Additionally, he has experience as a scientific assistant and lecturer, contributing to academia while pursuing his research interests. Patrick’s dedication to advancing AI integration in software engineering is evident through his academic pursuits and practical experiences.

Professional Profile:

Scopus

🎓 Education:

Patrick is a Ph.D. candidate in Software Engineering at École Polytechnique de Montréal, Canada. He holds an M.A.Sc. in Software Engineering from the Université des Montagnes, Cameroon, and a B.Sc. in Computer Science from the same institution.

🔬 Research:

Patrick specializes in integrating AI and software engineering, focusing on mining software developers’ knowledge to guide AI system development. His expertise includes data analysis, visualization, machine learning, and deep learning.

đź’Ľ Professional Experience:

Patrick has served as a Data Scientist at Autorité des marchés financiers, where he conducted exploratory data analysis and implemented clustering algorithms. He also has experience as a Scientific Assistant at IVADO and has worked as a Cloud Engineer at Cloudconseils.

Publication Top Notes:

1.Studying logging practice in machine learning-based applications

  • Authors: P.L. Foalem, F. Khomh, H. Li
  • Journal: Information and Software Technology
  • Published Year: 2024