BIOSINF – Artificial Intelligence and Machine Learning

BIOSINF – Artificial Intelligence and Machine Learning

BIOSINF – Digital Signal Processing Techniques

BIOSINF – Digital Signal Processing Techniques

BIOSINF – Biometric Technologies

BIOSINF – Biometric Technologies

BIOSINF – Human-Computer Interaction

BIOSINF – Human-Computer Interaction

BIOSINF – Forensics

BIOSINF – Forensics

BIOSINF – Information Security

BIOSINF – Information Security

 

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The “Multimedia Technologies in Biometrics and Information Security Applications” (BIOSINF) Master’s program takes place within the Faculty of Electronics, Telecommunications, and Information Technology of the National University of Science and Technology POLITEHNICA Bucharest over the course of four semesters (the last one being reserved for writing the dissertation thesis).

BIOSINF is a research postgraduate program which aims to offer a high degree of specialization for education, science, and economic activities in many contemporarily relevant fields with long-term perspective. The general objectives of the program consist of, on the one hand, expert knowledge acquisition in the analysis and digital processing of audio signals, speech, images, and video sequences, especially using modern techniques based on artificial intelligence, with applications in biometrics, human-computer interaction, analysis and forensics for audio-video recordings (particularly speech), and the implementation of multimedia embedded (integrated) systems; and, on the other hand, theoretical and practical knowledge acquisition in cybersecurity, the most rapidly growing field within the computer science and information technology industry.

Taking into account the latest remarkable results of employing artificial intelligence models in countless scientific fields, as well as the need to offer the graduates of the faculty of Electronics true guidance towards this fascinating area of study through valuable professional training and development, this postgraduate program focuses significantly on the understanding and mastering of using modern signal processing techniques based on artificial intelligence (classical machine learning and deep neural networks).

More specifically, the BIOSINF Master’s program trains engineers to specialize in the following areas of study, research, and development:

  • Digital signal processing architectures using advanced artificial intelligence models.
  • Biometric technologies (methods for uniquely identifying people based on single or multiple intrinsic physical or behavioral traits).
  • Voice communication interfaces with intelligent systems.
  • Forensic expertise in multimedia (identifying key information and detecting signs of digital editing of audio-video recordings, verifying their authenticity, and aspects regarding systems and procedures used in forensic investigations).
  • Information security (personal computer and computer network security: vulnerability analysis, detecting and preventing information attacks, traffic analysis in computer networks, local-level and network-level security solutions, databases and specific programming technologies, etc.).

The competencies gained provide opportunities for cutting-edge scientific research. The knowledge gained allows graduates to further their professional training by pursuing a doctorate degree.

The BIOSINF Master’s program is coordinated by the SpeeD research laboratory – “Speech and Dialogue” (https://speed.pub.ro/), also a part of the Faculty of Electronics, Telecommunications, and Information Technology, benefitting from more than 40 years of experience gained since the laboratory’s founding, as well as the ample collaboration with research groups, nationally and abroad, with significant activity and results in the targeted fields, both academically (institutes and universities) and in the research and development industry.

For more details regarding the BIOSINF Master’s program, please see the slides provided here.
A video presentation is also available at: https://www.youtube.com/watch?v=skQR_FE0yws.