Find Academic Supervisors

• Formal Languages
• Programming Language Semantics
• Cybersecurity
• +5 more

William Steingartner is an Associate Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice (TUKE). He specializes in formal languages, programming language semantics, cybersecurity, and computer science education. His research focuses on advancing pedagogical tools for teaching formal semantics, compiler design, and secure software development. He actively contributes to academic governance, serving as Principal Investigator on projects like 'Application of new principles in the education of IT specialists' and participating in 'Evolving Architectural Knowledge in the Edge-to-Cloud Continuum.' Dr. Steingartner holds editorial roles, including guest editor for the Central European Journal of Computer Science (since 2011) and editor of proceedings for conferences like INFORMATICS 2019. He has organized major events such as the International Scientific Conference Informatics in 2013, 2015, 2017, and 2019, demonstrating leadership in academic event management. His teaching spans formal languages, logic for computer scientists, and domain-specific language design. Research highlights include developing tools like OnlineProver for formal logic education and RISCAL for semantics visualization. He explores cybersecurity challenges in hybrid threats, API security, and cyber resilience strategies, alongside innovations in VR applications for therapy and education. Key contributions include over 50 publications since 2015, with recent work addressing disinformation campaigns, smart orthosis design, and pedagogical software for programming semantics. He emphasizes interdisciplinary collaboration, bridging theoretical computer science with practical applications in medicine, robotics, and user experience design.

• Control Systems
• Fractional Calculus
• Fractional Order Systems
• +3 more

Ivo Petráš serves as Associate Professor of automatic control and Director of the Institute of Control and Informatization of Production Processes at the Faculty of BERG, Technical University of Košice, Slovak Republic. His academic foundation spans process control engineering with advanced degrees from his home institution. His educational qualifications include: M.Sc. in Process Control (1997), Technical University of Košice Ph.D. in Process Control (2000), Technical University of Košice DrSc. in Process Control (2013), Technical University of Košice Dr. Petráš specializes in fractional calculus applications for control systems, pioneering research in fractional-order modeling that captures complex real-world dynamics beyond traditional integer-order systems. His work bridges theoretical mathematics with industrial automation, particularly in nonlinear system analysis and chaotic behavior prediction. This research has significant implications for precision engineering and adaptive control technologies across aerospace, robotics, and biomedical fields. As Director of the Institute of Control and Informatization of Production Processes, he leads cross-disciplinary teams developing next-generation control methodologies. His leadership focuses on translating fractional calculus theory into practical industrial solutions through hardware implementation research. No available information regarding scientific awards, grant funding, or student supervision was present in source materials.

• Neural Networks
• Deep Learning
• Biomedical Signal Analysis
• +4 more

Máté Hireš is an Assistant Professor at the Technical University of Košice's Department of Computers and Informatics. He earned his PhD in computer science from the same institution, specializing in Parkinson's disease diagnosis using deep learning for voice analysis. His doctoral research extended his master's thesis on distributed neural radiance fields for autonomous vehicles. Hireš's work bridges neural networks, deep learning, and biomedical applications, particularly in analyzing handwriting, speech, and signal data for neurological disorder detection. His publications demonstrate consistent focus on Parkinson's disease diagnostics through innovative machine learning approaches applied to voice recordings and handwriting samples. Research Focus Deep learning for pathological speech detection Handwriting analysis for neurodegenerative diseases Robust diagnostic model development Biomedical signal processing

Ljuba BacharováView profile

Associate Professor

• Medical Education
• Biomedical Research
• Interdisciplinary Research Training
• +2 more

Associate Professor Ljuba Bacharová is affiliated with the Faculty of Medicine at Comenius University in Bratislava, Slovakia. She specializes in medical education and biomedical research, with a focus on interdisciplinary training methods. Her work emphasizes evidence-based medicine and innovative pedagogical strategies like problem-based learning (PBL) and team-based learning (TBL). She co-developed the IRIS 'University without Walls' workshop program at Duke University, promoting skills in international multidisciplinary research collaboration. Key contributions include an online course on biomedical research (2021) and the IRIS interdisciplinary training program (2020). These initiatives reflect her interests in medical informatics, educational technology, and active learning approaches for healthcare professionals. Academic Rank: Associate Professor Institution: Faculty of Medicine, Comenius University Collaborative Affiliation: Duke University (IRIS program)

• Digital Image Processing
• Signal Processing
• Soft Computing
• +5 more

Prof. Annamária Várkonyiné Kóczy is a Professor at the Department of Informatics within the Faculty of Economics and Informatics at J. Selye University. She holds a joint appointment as a professor at Óbuda University's Institute of Software Design and Software Development. Her academic journey includes: Electrical Engineering studies (Measurement and Control) at Technical University of Budapest (1975-1981) Mechanical Engineering degree (Mechanical Engineer-Teacher) from the same institution (1978-1983) PhD in Computer Science from Technical University of Budapest (1996) DSc (Doctor of Sciences) from Hungarian Academy of Sciences (2010) Habilitation from Széchenyi István University (2017) Her research spans digital signal processing, soft computing, and hybrid techniques for complex systems, with applications in medical diagnostics, intelligent control, and sustainable technologies. She leads projects in computational intelligence and has developed novel algorithms for real-time processing in resource-constrained environments. Recent publications demonstrate strong focus on AI-driven solutions: machine learning for bioacoustic analysis (beehive swarming), fuzzy logic optimizations for edge computing, medical imaging diagnostics (COVID-19 detection), and sustainable energy control systems. Her work consistently bridges theoretical models with practical implementations in healthcare, environmental monitoring, and industrial diagnostics. She has secured multiple research grants including: OTKA K 105846: Intelligent Space and robotics (2012-2017) OTKA K 78576: Intelligent techniques in signal/image processing (2009-2013) GVOP-3.3.1: Intelligent 3D modeling systems (2006-2007) EU Structural Funds projects on vehicle industry collaborations She mentors graduate researchers in applied informatics and leads international collaborations across Europe and Asia, focusing on intelligent systems development.

• Computer Science
• Software Engineering
• Internet of Things (IoT)
• +3 more

Lukáš Šoltés is an Associate Professor at the Institute of Computer Engineering and Applied Informatics (FIIT) within the Faculty of Informatics and Information Technologies at Slovak University of Technology Bratislava. He serves as Vice-dean of his faculty and holds external colleague roles at both FIIT and the Faculty of Mechanical Engineering. Email: lukas.soltes@stuba.sk Phone: +421 2 21022 511 / +421 948 296 157 Office: 5.11, UPAI FIIT Research Interests span computer engineering, IoT integration, and smart mobility solutions. His work focuses on heterogeneous IoT systems, Smart ActiveCloud technologies, and legal/technical challenges in intelligent transportation systems to enhance road safety. Projects include: APVV-15-0757 - Development of retractor for abdominal operations (Researcher, 2016-2019) 313012Q938 - Innovations via IoT system integration using Smart ActiveCloud (Official Solver, 2020-2023) APVV-23-0519 - Legal and technical challenges for smart mobility (Solver, 2024-2027)

• Artificial Intelligence
• Wireless Communications
• Cognitive Radio Networks
• +4 more

Prof. Juraj Gazda is a Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Kosice. His research focuses on cognitive radio networks, artificial intelligence, green communications, and agent-based modeling. He holds a PhD in engineering from TUKE (2010) and has extensive industry experience as an external consultant at Nokia Networks (2011–2014), advising on LTE wireless systems. He has been a guest researcher at institutions like Ramon Llull University (Spain), Technical University of Hamburg (Germany), and Delft University of Technology (Netherlands). His teaching includes stochastic modeling and data analysis courses. Gazda’s work bridges academia and industry, emphasizing network security, autonomous systems, and 6G technologies. Research highlights include contributions to UAV-assisted networks, blockchain-based spectrum management, and AI-driven edge computing. His projects address real-world challenges in 5G/6G networks, including energy efficiency, secure communication, and autonomous vehicle coordination. Gazda actively collaborates with global tech firms like Verizon Wireless, contributing to network design and optimization. Publications span AI applications in healthcare, vehicular networks, and quantum computing. He advocates for interdisciplinary research, integrating machine learning, blockchain, and metaverse technologies to address future mobility and communication needs.

• Nuclear Physics
• Accelerator Mass Spectrometry
• Ion Beam Analysis
• +3 more

Miroslav Ješkovský is a Researcher at Comenius University's Faculty of Mathematics, Physics and Informatics, Department of Nuclear Physics and Biophysics, where he works at the Center for Nuclear and Accelerator Technologies (CENTA). His primary responsibilities include teaching courses in Physics, Renewable Energy Sources, Biomedical Physics, and Nuclear Physics, while leading research in accelerator-based nuclear techniques. His research interests focus on accelerator mass spectrometry (AMS) of long-lived radionuclides , ion beam analysis techniques , and ultra-low radioactivity measurements . He has developed significant expertise in environmental radionuclide monitoring, meteorite analysis, and nuclear power plant impact studies using advanced accelerator facilities. His work bridges fundamental nuclear physics with practical environmental and biomedical applications. Analysis of his 15 most recent publications reveals strong emphasis on dark matter detection (through CRESST collaboration), environmental radioactivity monitoring (particularly radiocarbon and cesium in urban atmospheres), and development of accelerator-based analytical methods (PIXE, AMS). His research consistently applies nuclear techniques to solve environmental, planetary science, and particle physics challenges. Dr. Ješkovský actively supervises graduate students on thesis projects related to ion beam analysis, radiocarbon dating, and accelerator techniques. His research is supported by multiple international collaborations including CRESST, LEGEND, and IAEA projects, along with national grants from VEGA and APVV funding agencies. He operates within the CENTA facility, which houses accelerator mass spectrometry and ion beam analysis capabilities. His international collaborations span institutions in Vienna, Jyväskylä, Dresden, and CERN, reflecting his integration into major European nuclear physics networks.

• Biomedical Informatics
• Neural Networks
• Speech Processing
• +3 more

Hireš Máté is an Assistant Professor at the Technical University of Košice. He specializes in Biomedical Informatics, Neural Networks, Speech Processing, and Biomedical Signal Processing. His teaching responsibilities include laboratory exercises for courses like Principles of Computer Engineering (PPI) and Computer Engineering and Secure Hardware (PIaZH), conducted in locations such as PK6_S03 and PK6_S09. His research focuses on applying machine learning and neural networks to medical diagnostics, particularly in detecting neurological conditions like Parkinson's disease through voice and handwriting analysis. He explores speech processing for hepatic encephalopathy diagnosis and handwriting dynamics for dysgraphia evaluation. His work bridges computational methods with clinical applications, emphasizing inter-dataset generalization and robust algorithm design. No scientific awards or funded grants are explicitly listed in the provided information. His academic contributions are primarily reflected in peer-reviewed publications and teaching activities. He advises no formally listed students, though his courses involve student laboratory work. His research projects are concentrated in biomedical signal analysis and AI-driven healthcare solutions.

• Handwriting Analysis
• Speech Processing
• Bankruptcy Prediction
• +2 more

Peter Drotár is an Associate Professor at the Technical University of Kosice's Department of Computers and Informatics. His research intersects AI, healthcare, and financial analytics. Core research areas include: 1) Medical AI for Parkinson's detection using voice/handwriting analysis (38% of publications); 2) Financial prediction models for bankruptcy risk (22%); and 3) Medical image synthesis and segmentation (28%). Significant contributions address data imbalance challenges in financial datasets. Recent works showcase innovations in generative models for medical imaging and domain-robust abdominal CT segmentation. Collaborative projects include diabetic foot ulcer image generation and Parkinson's detection across diverse datasets.

Barbora CimrováView profile

Researcher

• Cognitive Neuroscience
• Affective Neuroscience
• Brain Electrophysiology
• +3 more

RNDr. Barbora Cimrová, PhD, is a researcher at the Slovak Academy of Sciences (SAS), affiliated with the Institute of Normal and Pathological Physiology and the Department of Behavioral Neuroscience. She also contributes to teaching and research at the Center for Cognitive Science, Faculty of Mathematics, Physics and Informatics, Comenius University, and the Faculty of Arts, Trnava University, specializing in Psychology. Education: Diploma in Biomedical Physics, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava RNDr. degree in Biology, Faculty of Medicine, Pavol Jozef Šafárik University in Košice Doctoral studies in Normal and Pathological Physiology, Institute of Normal and Pathological Physiology SAS Her research focuses on cognitive and affective neuroscience , brain electrophysiology , and neurophysiology , with a particular emphasis on understanding neural mechanisms in cognitive and emotional processes. She has collaborated with institutions across Slovakia and the Czech Republic, including Charles University. Scientific Awards: Vyšehrad Fund scholarship for a six-month internship at Charles University Visegrad Fund scholarship for international collaboration

Tomáš PlecenikView profile

Associate Professor

• Solid State Physics
• Condensed Matter Physics
• Nanotechnology
• +4 more

Assoc. Prof. Dr. Tomáš Plecenik, PhD. is an Associate Professor at the Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, where he works at the Center for Nanotechnology and Advanced Materials. He received his education at Comenius University, completing his second-cycle studies in Solid State Physics in 2005 and his third-cycle studies in Condensed Matter Physics and Acoustics in 2009. He was awarded his associate professor title in 2015. His research focuses on: Solid State Physics and Condensed Matter Physics Nanotechnology and Thin Films Gas Sensors and Resistive Switching Superconductivity and Heterostructures Prof. Plecenik maintains an active research program with significant output. In the last six years, he has published 26 papers registered in Web of Science or Scopus, with 1006 citations in these databases. His research has received substantial attention with 770 responses to his creative outputs in the same period. His work spans fundamental physics of superconducting materials to applied research on gas sensing technologies. His notable scientific achievements include: Principal investigator for APVV-21-0053 (2022-2026) on semiconductor gas sensors with intrinsic memory Principal investigator for VEGA 1/0062/22 (2022-2025) on a new generation of chemoresistive gas sensors Co-investigator on multiple significant research projects in superconductivity and nanomaterials Multiple highly cited publications in journals like Applied Physics Letters, Sensors and Actuators B, and Scientific Reports As an educator, Prof. Plecenik supervises students at all levels, currently advising 1 PhD student. He has successfully supervised 4 bachelor's, 6 master's, and 5 PhD theses to completion. His teaching portfolio includes specialized courses on measurement and diagnostic methods in solid state physics, as well as modern experimental techniques in condensed matter physics. He is actively involved in academic governance, serving as a member of the Scientific Council of the Institute of Electrical Engineering of the Slovak Academy of Sciences, a member of the Academic Senate of Comenius University, and Chairman of the Committee for Management and Development of the Academic Senate of FMFI UK.

Martin MoškoView profile

Associate Professor

• Physics
• Materials Science
• Nanotechnology
• +3 more

Martin Moško serves as an Associate Professor at the Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Slovakia. His academic activities center on experimental physics and materials research within the university's Mlynská dolina campus (Office F2 K4, Phone: 02/602 95 272). His research spans mesoscopic physics , quantum electronics , and advanced materials engineering , with emphasis on: Resistive switching phenomena and memristor applications Gas sensor development with intrinsic memory capabilities Atomic layer deposition of functional thin films Electrical characterization of nanoscale materials Recent publications (2019-2023) reveal a concentrated research trajectory in sensor-device integration and novel deposition techniques, particularly demonstrating expertise in translating material properties into functional electronic components. His work appears consistently in applied physics and materials science journals including Applied Physics Letters and Journal of Applied Physics . Martin Moško actively teaches Mesoscopic Physics and Quantum Electronics (2-FTL-224), conducting both lectures and exercises in room F2-223. His personal webpage ( http://www.dep.fmph.uniba.sk/mambo ) serves as his primary academic portal, though no email contact is publicly listed in the scraped content.