Seminar

Key Enablers for 6G and Beyond: Cell-Free Architectures, Semantic Communication, Digital Twins, and Integrated Sensing and Communication

Date
Abstract

This talk explores several emerging technologies that are shaping 6G wireless networks and beyond. It discusses how cell-free architectures and decentralized processing can improve network performance and scalability, how semantic communication and over-the-air computation can enable efficient task-oriented information exchange, and how Integrated Sensing and Communication (ISAC) can transform wireless networks into distributed sensing platforms. The role of digital twins in autonomous network optimization and management is also highlighted.

Announcements

Opening Lecture at Peking University's International Graduate Summer School on Low-Carbon Computing

Professor Erol Gelenbe will give an invited lecture at the International Graduate Summer School on Intelligent Optimisation for Low-Carbon Computing Service Systems, to be held at Peking University in Beijing from 1st to 3rd August 2026. The program is hosted by Peking University and organized by the School of Advanced Manufacturing and Robotics under the leadership of Professor Jie Song, Dean of the School. 

Competition

competition for assistant Security, Modelling and Performance Evaluation Group

IITiS PAN is offering an assistant position in the Security,  Modelling and Performance Evaluation Group. The successful candidate will participate in research on the security and robustness of machine learning systems, with particular emphasis on adversarial attacks, defence methods, and vulnerability analysis of machine learning models.

Submission deadline
Seminar

IGA-ODIL: Optimizing DIscretre robust Loss with Isogeometric Analysis to solve forward and inverse problems faster using machine learning tools

Speaker
Maciej Paszyński
Date
Abstract

Physics-informed neural networks (PINNs) formulate the solution of partial differential equations as residual minimization problems over neural network parameterizations. Although highly flexible, optimization of PINNs using modern variants of Stochastic Gradient Descent algorithms is expensive. On the other hand, iterative computation of PINN parameterization using the Gauss-Newton method suffers from convergence difficulties, dense Jacobian structures, and poor conditioning that limit the effectiveness of second-order optimization methods.

Seminar

A CTMC-Based Performance Analysis of a Finite-Capacity EV Charging Station with Erlang Service and Phase-Type Impatience

Speaker
Fatai Oluwashola Tajudeen
Date
Abstract

Electric vehicle charging stations are often constrained by the number of available chargers and waiting spaces. As demand increases, users may experience waiting, blocking, or abandonment, which can reduce the quality of service. This project develops a continuous-time Markov chain model for evaluating the performance of a finite-capacity EV charging station with Erlang-2 charging service and phase-type customer impatience.

Announcements

NCN przyznał Instytutowi grant na realizację projektu badawczego w ramach konkursu OPUS

Instytut Informatyki Teoretycznej i Stosowanej PAN uzyskał dofinansowanie z Narodowego Centrum Nauki w ramach konkursu OPUS 30 na realizację projektu badawczego pt. „Metody dla Interpretowalności Głębokich Sieci Neuronowych Inspirowane Psychologią Kognitywną” pod kierownictwem dr inż. Katarzyny Filus.

Announcements

Call for PhD candidates in the discipline of Technical Informatics and Telecommunications

Call for PhD candidates in the discipline of Technical Informatics and Telecommunications

The Institute of Theoretical and Applied Informatics, Polish Academy of Sciences in Gliwice, invites candidates interested in pursuing a doctoral degree in the discipline of: Technical Informatics and Telecommunications. 

The doctoral projects will be carried out at: IITiS PAN in Gliwice.

Proposed PhD topics:

Announcements

The Institute Has Joined the SPACEPORT-AI Consortium

The Institute has joined a research collaboration focused on the development of artificial intelligence-based data processing techniques. A letter of intent formalizing this cooperation was signed on November 24, 2025, by eight universities and research institutions.

The goal of the SPACEPORT-AI initiative is to bring together experts interested in jointly developing and testing modern methods for effective data processing using the latest technological advances in the field of artificial intelligence.