The BME FASTER RECORD research group, which bears the name “Reimagining the EleCtric pOwer gRiD”, strives to transform the vision of the electric power networks. It can be seen that the current network has reached the limits for which it was designed decades ago, and we are in a critical period where we all have a professional responsibility to play a role in transforming the network. The research group emphasizes that one should not rely solely on past experiences and that a paradigm shift is needed.
The goal of the BME FASTER RECORD research group is to show a new direction in the reconstruction of the electricity network created after World War II, developing innovative scientific methodologies and procedures, which provide useful assistance to the profession and industry not only from a theoretical point of view, but also from an application support point of view. Using nearly 20 years of experience, the research group strives to model electricity networks with different voltage levels in stationary and dynamic time domains, in multiple modeling environments, with the goal of increasing stability and reliability.
The BME FASTER RECORD research group pays special attention to the careful conception of the long-term planning necessary for the reliable operation of the electricity network, given that this is one of the most important critical infrastructures. Using a scientific approach, the research group investigates strategic planning, highlighting key issues of everyday operational support, such as ensuring frequency and voltage stability, forecasting and accurate value determination, managing bottlenecks and knowing and mapping the effects of dynamic changes.
KDP: István Vokony won the Doctoral Student Scholarship of the NKFIH Cooperative Doctoral Program in 2023 with his research entitled Sustainable corporate management models using disruptive technologies in the energy sector. The research carried out at the Doctoral School of Economics and Organizational Sciences brings closer the industrial applicability of technical results, with a scientific approach.
Bolyai: Between 2023-2026, Bálint Hartmann is developing network vulnerability models with predictive tools within the framework of the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.
Bolyai+: Bálint Hartmann is working on the integration of the results of the research into graduate and postgraduate training within the framework of the support received as a supplement to the János Bolyai Research Scholarship.
OTKA: members of the research group participate in Zoltán Tamus Ádám’s OTKA Research Program. The aim of the program is to investigate the effect of cyclic overloads on the degradation of the PVC insulation of distribution cables due to the increasing expansion of renewable energy sources.
In 2019, Bálint Hartmann won the Youth Award of the Hungarian Academy of Sciences for his project “Utilization of renewable energy sources at different scales”.
Aim of our Lendület Grant in cooperation with E.ON is to develop a state estimator based modular toolset to support the transformation of the Hungarian low-voltage distribution network to a future-proof, smart, innovative, flexible and modern grid.
Our longtime cooperation with DSOs focus on modelling, simulation, business aspects and cost-benefit analysis of the transforming sector. Highlights of previous years include expert work on network development strategies, assessment of energy storage and e-mobility business potentials, development of microgrid services and islanded power supply based on renewable energy sources.
Digsilent PowerFactory, Panda Power, MindPower
Horizon Europe (TwinEU) • MAVIR (Transmission Network Losses calculation with AI tools), MAVIR (Swing frequency modes and real-time calculation of their damping, inertia monitoring system) • H2020 (OneNet) • MTA Lendület
RWTH Aachen University • Aalborg University • University of Cyprus • University of Aswan • National and Kapodistrian University of Athens • Luxembourg Institute of Science and Technology • Katholieke Universitet Leuven
E.ON • MVM • MAVIR • HUN-REN Centre for Energy Researc • HUN-REN SZTAKI • OPUS Energetika • iContest • Comtech • MEE
Our research covers the full spectrum of artificial intelligence (MI), organically linked to our group’s decades-long faculty role in general AI education, which is now present in BProf, BSc, MSc and PhD programs. Our working groups within the research group are Digital Humanities, Image Processing and Multimodal Diagnostics, Cooperative Intelligence, and Computational Biomedicine (ComBine). Digital Humanities examines semantic technologies through the processing of natural language. Image Processing and Multimodal Diagnostics explores the integration of classical image processing and information fusion methods with new artificial intelligence-based methods. Cooperative intelligence research examines federated learning, sensor networks, autonomous vehicles, multi-agent systems, and distributed computing methods. The ComBine team is developing artificial intelligence methods for bioinformatics, chemoinformatics and health informatics, with a particular focus on data and knowledge fusion, systems-based data analysis, and causal discovery.
We have launched an Artificial General Intelligence course to teach about the grand challenges, limits, trends, interdisciplinary nature and ethical, social dimensions of artificial intelligence. Our group is also participating in the development of a new Human-Centered Artificial Intelligence MSc program, which is part of an international EU project. We have launched and organized a student competition at the faculty in Artificial Intelligence and Machine Learning for the third time. In our research, we routinely use and constantly expand our Bayesian systems-based analysis to support biomarker discovery in several projects (UKB1602, TRAJECTOME, OTKA119866, OTKA139330). In addition to our statistical genetic research, we also focus on the development of AI methods for chemoninformatics and drug discovery, which is strengthened by our participation in national and international projects (MELLODDY). Our intelligent image processing and multimodal data fusion research has also been boosted by new projects, and we are examining the use of modern artificial intelligence tools in natural language processing in several collaborations.
H2020/IMI2, MELLODDY • EUREKA, iCare4NextGen • OTKA K139330
University of Minnesota • K.U.Leuven
SOTE • Richter • Dealogic • Abylon Kft. • E-Group • Continental
Our lab group is an “old hand”, we have been present at the Department of Telecommunications and Media Informatics of the Budapest University of Technology and Economics since the beginning. Our main areas of expertise are speech communication and speech technology in Hungarian, human-machine, human-robot interfaces, assistive interfaces for blind, visually impaired and speech impaired users, general statistics and modern machine learning algorithms. A strong focus on deep learning research and education. We have gained experience in a number of national and international projects in the broader field of ICT applications (customer service automation, self-driving cars, etc.). Our technologies have been applied in practice in these areas for decades.
GPU servers
OTKA • CELSA
University of Novi Sad, Serbia • University of Ss. Cyril and Methodius, Skopje, Macedonia • diap Research Institute, Martigny, Switzerland • Université Pierre et Marie Curie, Paris, France • Langevin Institute, ESPCI-ParisTech, Paris, France • Tianjin University, Tianjin, China • University of Cologne, Cologne, Germany • Universidad Industrial de Santander Bucaramanga, Santander, Colombia • UPC Barcelona, Barcelona, Spain • National University of Defense Technology, Changsha, China • AGH University of Science and Technology, Department of Measurement and Electronics • University of Ss. Cyril and Methodius in Skopje, Macedonia • Università della Campania Luigi Vanvitelli and IIASS • Université Grenoble Alpes • Universidad Industrial de Santander Bucaramanga, Santander, Colombia
ELTE • SOTE • ELKH • Hospitals • Idomsoft • IT.DOT Kft • OTP • Microsoft Mo. Kft. • Auxiliis Pharma Kft. • SCI Hálózat zRt.
The group deals with modern methods of data mining, information retrieval, natural language processing, machine learning, image and video processing. These belong to the fields of artificial intelligence and data science, within which the research focuses on computer vision, neural networks, deep learning, active learning. In addition to research, the group also plays a significant role in education, as responsible for Specialization of Data Science and Media Informatics in the MSc Computer Engineering, Specialization of Analytical Business Intelligence in the MSc Business Informatics, and Data-Based Systems Specialization in BProf Computer Engineering.
GPU (Titan X)
Posta • Tigáz • Magyar közút • Pannon University • ELTE • Debrecen University • NKE
Laborcsoportunk “régi motoros”, jelen vagyunk a Budapesti Műszaki és Gazdaságtudományi Egyetem Távközlési és Médiainformatikai Tanszékén a kezdetektől fogva. Fő kompetenciáink a magyar nyelvű beszédbeszédkommunikáció és beszédtechnológia, ember-gép, ember-robot interfészek, kisegítő interfészek vak-, látás- és beszédsérült felhasználóknak, továbbá az általános statisztikai és modern gépi tanuló algoritmusok. Nagy hangsúlyt fektetünk a deep learning kutatásra és oktatásra. Számos hazai és nemzetközi projektben szereztünk tapasztalatot a szélesebben vett infokommunikáció alkalmazási területein (ügyfélszolgálat automatizálás, önvezető autók, stb.). Technológiáinkat több évtizede alkalmazzák a gyakorlatban a fenti területeken.
GPU szerverek
OTKA • CELSA
University of Novi Sad, Serbia • University of Ss. Cyril and Methodius, Skopje, Macedonia • diap Research Institute, Martigny, Switzerland • Université Pierre et Marie Curie, Paris, France • Langevin Institute, ESPCI-ParisTech, Paris, France • Tianjin University, Tianjin, China • University of Cologne, Cologne, Germany • Universidad Industrial de Santander Bucaramanga, Santander, Colombia • UPC Barcelona, Barcelona, Spain • National University of Defense Technology, Changsha, China • AGH University of Science and Technology, Department of Measurement and Electronics • University of Ss. Cyril and Methodius in Skopje, Macedonia • Università della Campania Luigi Vanvitelli and IIASS • Université Grenoble Alpes • Universidad Industrial de Santander Bucaramanga, Santander, Colombia
ELTE • SOTE • ELKH • Kórházak • Idomsoft • IT.DOT Kft • OTP • Microsoft Mo. Kft. • Auxiliis Pharma Kft. • SCI Hálózat zRt.