Welcome to the research activities page of LIPTEL. We are dedicated to advancing knowledge and understanding in the field of telecommunications. Through our collaborative efforts and innovative approach, we aim to make meaningful contributions to the scientific community and society as a whole.

Our research activities encompass a wide range of areas, including speech processing, 5G networks, quantum communications, or optimalization algorithms. With a diverse team of highly skilled and experienced researchers, we leverage cutting-edge technology and methodologies to conduct rigorous and impactful research.

We regularly collaborate with other research institutions and industry partners to ensure that our research has real-world applications and impact.

Thank you for visiting our website and we hope that you will find our research activities informative and inspiring.

Speech processing

One of the most notable research interests of our group is speech processing algorithms and methods. We are focused on developing and refining cutting-edge techniques for the recognition and analysis of human emotions from speech, as well as the identification of the speaker. This includes investigating novel approaches to speech synthesis, which can be used to generate natural-sounding speech for a variety of applications. Additionally, we are working on developing speaker recognition systems that can accurately identify individuals based on their unique vocal characteristics. Through our research in these areas, we aim to improve the accuracy and effectiveness of speech processing methods, which have a wide range of real-world applications in fields such as speech therapy, human-computer interaction, and security.

5G networks

We collaborate with the Mobile Communications Team based in the same department. Recently, open-based 5G networking technologies have been emerging, and we cannot miss the opportunity to be at their beginnings. We have become members of Open Networking Foundation (ONF), which is progressing with its subsequent projects SD-RAN, SD-core, Aether, etc., bringing the newest SDN technologies to the game. A working unit has been created at our department to experiment on these technologies and possibly make its original research.

Quantum communications

Protection and encryption of sensitive data was always a hot topic at our department. With the coming era of quantum computers, the asymmetric cryptography poses a major security threat. Specific algorithms running on quantum computers could break asymmetric cryptography and give the attacker the opportunity for decryption of encrypted data. Algorithms like Diffie-Hellman or RSA are widely used in the Internet for the protection of internet banking applications, VPN applications, secure access to web pages, etc.    

Quantum Key Distribution (QKD) and Post Quantum Cryptography (PQC) are technologies that provide solutions to this security problem. The purpose of QKD is to establish the symmetric key material between two parties. For the establishment of this key material, polarized photons that are protected by the laws of quantum physics are used. Subsequently, this key material is used in symmetric cryptography (AES, ChaCha, etc.) which is not threatened by quantum computers. Our department in collaboration with UNSA (University of Sarajevo) has developed a simulator for simulating quantum networks, QKDNetSim, and we continue to expand this simulator. PQC is based on mathematical problems than asymmetric cryptography and can be implemented in the protocol application layer in TLS, SSH, or HTTPS. It is expected that these two technologies will work together in the future.

Our department has been working on this issue for a long time and is involved in several projects dealing with QKD, PQC, and their involvement in telecommunication networks. Examples of such projects are the NATO SPS project, the NESPOQ project of the Ministry of Interior of the Czech Republic, and the European OPENQKD project.

Optimization algoriThms

Our goal is to develop algorithms and methods that can efficiently solve complex optimization problems. Our research focuses on developing novel optimization algorithms and techniques that can handle large-scale and high-dimensional problems while also balancing the trade-off between accuracy and computational efficiency. We are interested in both theoretical and practical aspects of optimization, and our work spans a range of subfields including convex optimization, stochastic optimization, and metaheuristics. Through our research, we aim to make significant contributions to the field of optimization and to enable advances in applications that rely on efficient and effective optimization algorithms.