جست‌وجوی استاد و پژوهشگر

• Digital Image Processing
• Signal Processing
• Soft Computing
• +۵ مورد دیگر

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.

• Artificial Intelligence
• Wireless Communications
• Cognitive Radio Networks
• +۴ مورد دیگر

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.

• Cybersecurity
• Multimedia Content Delivery
• IP Networks
• +۵ مورد دیگر

Dr. Miroslav Michalko is an Associate Professor at the Department of Computer Networks and Security, Faculty of Electrical Engineering and Informatics, Technical University of Košice. His research focuses on Cybersecurity, Multimedia Content Delivery, IoT for eHealth, Smart Cities and Homes, Web Technologies, and EU Project Management. He teaches courses such as Computer Networks, Security of Computer Networks, and CCNA Security. He actively coordinates the Girls in IT @ FEEI TUKE initiative and serves as the National Guarantor for Information Technologies and Telecommunications within Slovakia's Qualifications Verification System. His research interests span Cybersecurity methodologies, IoT integration in healthcare, Smart City infrastructure, and innovative educational technologies. Notable projects include developing UAV-based monitoring systems, smart home solutions, and cybersecurity educational platforms. He has contributed to over 50 peer-reviewed publications, emphasizing practical applications of computer networks and IoT. Dr. Michalko's recent work highlights advancements in autonomous UAV control via machine learning, intrusion detection in IoT environments, and real-time water leak detection systems. His teaching emphasizes hands-on learning through simulations and industry-aligned certifications like Cisco's NetAcad program.

Csaba Szabóمشاهده پروفایل

دانشیار

• Green Software
• Green IT
• Software Evolution
• +۱۰ مورد دیگر

Assoc. Prof. Ing. Csaba Szabó, PhD is an Associate Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice . His research focuses on Green Software/IT, Software and Testware Evolution, Behavioral Description of Software, Computer Simulation, Virtual Reality, Information/Web/Cloud Systems, and Autonomic Computing (Self-Healing/Self-Testing). He teaches courses in Software Engineering, Database Systems, and Modeling/Prototyping. Projects: ERASMUS+ KA1 Coordinator, CEEPUS Coordinator, Type Theory Education in IT, Bridge Prestressing Forces Analysis Conference Roles: Organizing Committee (Informatics'11, '15), Program Committee (AIeLE’15, IeLSs 2012), Reviewer (SISY 2013–2018, SCYR 2012–2017). Publications: Authored monographs on parallel computing, software testing, and large data processing. His 2015 work on compressor station throughput modeling was published in Nonlinear Analysis: Modelling and Control .

Marian Machمشاهده پروفایل

دانشیار

• Symbolic Artificial Intelligence
• Evolutionary Computation
• Ontological Engineering
• +۵ مورد دیگر

Marian Mach is an Associate Professor at the Department of Cybernetics and Artificial Intelligence, Technical University of Kosice. He holds a Ph.D. (1992) and habilitation in Artificial Intelligence (2001). His research focuses on symbolic AI, evolutionary computation, knowledge modeling, and ontological engineering. He has led national and EU projects like Modermed (2023-2027) and DL4VISION (2022-2025), addressing toxic behavior detection and deep learning for image processing. Education: Ph.D. in Technical Cybernetics (1992), TU Kosice Habilitation in AI (2001), TU Kosice M.S. in Technical Cybernetics (1985), TU Kosice Research Interests: Evolutionary algorithms Constraint satisfaction problems Knowledge representation Machine learning applications in social media analysis Robotics and intelligent systems Teaching: Courses include Machine Learning II, Evolutionary Algorithms, and Application of Logic in Intelligent Systems. He has developed over 20 courses since 1987. Grants & Projects: EU-funded initiatives: VICINITY (2016-2019), PICASO (2016-2019) National grants: APVV-22-0414 (2023-2027), VEGA 1/0394/22 (2022-2025) Labs/Teams: Involved in AI Center at TU Kosice and collaborative projects on cloud-based robotics and semantic web technologies.

• Telecommunications
• Networking
• Computer Science
• +۱ مورد دیگر

Bhaskar Rimal is an Assistant Professor in the Department of Computer Science at the University of Idaho, affiliated with the College of Engineering. He holds a Ph.D. in Telecommunications Engineering from the University of Quebec (2017). His professional credentials include P.E. licensure. Research/Focus Areas section is noted but contains no specific details in the provided text. Education: Ph.D. in Telecommunications Engineering from University of Quebec (2017). Selected Publications and Awards/Honors sections are present but lack documented entries. No advising information or grant details are explicitly provided in the text. His mailing address is listed as Janssen Engineering Building 235, with contact via brimal@uidaho.edu.

Marek Moravčíkمشاهده پروفایل

مدرس

• Cloud Computing
• IP Networks
• Converged Networks
• +۴ مورد دیگر

Marek Moravčík is a Lecturer at the Slovak University of Technology in Žilina, affiliated with the Department of Information Networks under the Faculty of Informatics and Management. He teaches courses such as Computer Networks (1-3), Design of Networks (1-2), Network Integration, Communication Technologies, and Linux essentials. His research focuses on Cloud Computing, IP network routing/switching, and converged networks. Educations: PhD holder (degree details unspecified). He has received multiple Instructor Excellence Awards (2017-2019) and supervised a Best Diploma Thesis (2018). Certified in AWS Cloud Practitioner, CCNA, and ECDL digital competencies. He led projects like 'Containerization in Cloud Computing' and actively participates in academic projects related to virtualized technologies. His teaching portfolio includes advanced networking subjects and Python applications in networks, reflecting expertise in both theoretical and applied network engineering.

Pavel Segečمشاهده پروفایل

استاد

• Computer Networks
• Network Security
• Cloud Computing
• +۶ مورد دیگر

Prof. Pavel Segeč is the Head of the Department of Information Networks and leads the Cisco Networking Academy at the Faculty of Electrical Engineering and Informatics, University of Žilina. He holds a PhD and is a certified CCNP/CCNA instructor. His expertise spans computer networks, network security, cloud technologies, and converged network architectures. Education: Ing. (Engineering degree) and PhD from University of Žilina His research focuses on packet routing/switching, IP network protocols, SD-WAN, NFV, and network security incident handling. He has led projects like KEGA 051ŽU-4/2021 (cloud technologies in education) and NFP313010W988 (SANET network research). He teaches courses including Computer Networks, Network Design, Advanced Routing, and Security of Computer Networks. Recipient of multiple Instructor Excellence Awards (2016-2019) and the Rector’s Award for engineering thesis supervision (2020). Holds expert-level certifications in Cisco networking education and ECDL digital competence. Active in curriculum development, including KEGA 011STU-4/2017 to modernize computer networks curricula aligned with industry needs.

• Nuclear Physics
• Accelerator Mass Spectrometry
• Ion Beam Analysis
• +۳ مورد دیگر

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.

• Mechanical Engineering
• Robotics
• Industrial Automation
• +۵ مورد دیگر

Prof. Elena Pivarčiová is a Professor and Head of the Department of Production and Automation Technology at the Technical University in Zvolen, Faculty of Technology . She actively contributes to teaching courses such as Academic Year Project , Digital Image Processing , and Informatics for Engineers . Department: Department of Production and Automation Technology Academic Rank: Professor Emails: pivarciova@is.tuzvo.sk , elena.pivarciova@tuzvo.sk Research Interests span robotics, automation, non-destructive testing, and finite element analysis. Her work integrates infrared/terahertz imaging with computational modeling for material diagnostics and develops educational tools for robotics and automation systems. Publication Trends highlight expertise in industrial robotics, non-destructive evaluation, and thermal/mechanical system analysis, with recent collaborations on sensor fusion and simulation techniques. Projects include leadership in KEGA, VEGA, and OP Slovakia initiatives focused on robotics education, composite materials, and Industry 4.0 methodologies. Supervised Theses cover topics like autonomous robot control, thermal analysis, and biometric systems, with students such as Ing. Roman Čierťažský , Ing. Filip Krnáč , and Ing. Marek Slašťan .

Ján Heftyمشاهده پروفایل

استاد

• Geodesy
• Geodynamics
• GNSS Applications
• +۳ مورد دیگر

Prof. Ján Hefty serves as Professor and Head of the Department of Global Geodesy and Geoinformatics at the Faculty of Civil Engineering, Slovak University of Technology in Bratislava, a position he has held since 2003. With continuous affiliation since 1975, he progressed from Observatory Assistant to full Professor in 2006 following his inaugural lecture on permanent GNSS monitoring for geodesy and geodynamics. His academic credentials include a Candidate of Sciences (PhD equivalent) in Geodesy and Cartography obtained in 1985 with research on Earth dynamics using astronomical measurements, followed by habilitation in 1995 leading to Associate Professorship. His scholarly journey reflects deep specialization in geodetic methodologies and Earth system science. Prof. Hefty's research spans geodetic astronomy (1975-2000), Earth rotation analysis (1980-1995), and modern geodynamics using GNSS since 1991. His current work focuses on high-frequency GPS analysis for seismic displacement detection, Central European geokinematic modeling, and troposphere/ionosphere studies. He established Slovakia's first permanent GPS station in Modra-Piesk and directs the Local Analytical Center of the European Permanent Network. His 110+ publications reveal evolving trends from optical astrometry to cutting-edge GNSS applications, with recent work emphasizing real-time geodesy for natural hazard monitoring and reference frame densification in Central Europe. The research consistently bridges theoretical geodesy with practical geodynamic applications. Prof. Hefty has co-led 25 research and grant projects including the Central European Regional Geodynamics Project (CERGOP) and European Permanent Network initiatives. His international collaborations include five research stays at the Paris Observatory's International Earth Rotation Service, focusing on astrometric Earth rotation determination and VLBI applications. He oversees critical geodetic infrastructure including the Modra-Piesk GPS station and Central European data analysis center, which continuously process observations from regional networks. His team's work supports reference frame realization, crustal deformation monitoring, and the integration of geodetic data with geophysical models across Central Europe.

Ľuboš Buznaمشاهده پروفایل

دانشیار

• Optimization Algorithms
• Simulation Modeling
• Transportation Networks
• +۳ مورد دیگر

Ľuboš Buzna serves as Associate Professor of Applied Informatics at the Faculty of Management Science and Informatics, University of Zilina, and holds a Senior Researcher position in the ERA Chair Team at the University Science Park. His academic career includes research appointments at ETH Zurich (2007-2009), TU Dresden (2005-2007), and the University of Barcelona (2014-2015), where he contributed to EU projects IRRIIS and LASAGNE. He earned his PhD in Transportation and Communication Technology from the University of Zilina in 2003, establishing his foundation in transportation systems analysis. Professor Buzna's research centers on developing optimization algorithms and simulation models for transportation networks and complex systems, with significant contributions to infrastructure resilience and energy transition challenges. His methodological approach combines theoretical computer science with practical applications in critical infrastructure, yielding innovative solutions for network design and operational efficiency. Publication analysis reveals consistent expertise in applying mathematical optimization to transportation electrification, natural gas networks, and pedestrian dynamics, with increasing focus on fairness in resource allocation and systemic resilience. His work demonstrates interdisciplinary integration of operations research, network theory, and computational modeling. His scientific recognition includes: Award from Literarny fond (2013) for impactful publications Within the ERA Chair Team, Professor Buzna drives advanced research in complex systems at the University Science Park, leading collaborative initiatives that bridge theoretical innovation with real-world infrastructure challenges in transportation and energy sectors.

Tibor Petrovمشاهده پروفایل

پژوهشگر

• Intelligent Transportation Systems
• Vehicular Ad hoc Networks
• Cellular Networks
• +۳ مورد دیگر

Dr. Tibor Petrov is a Researcher in Intelligent Transport Systems at the University of Žilina's Faculty of Electrical Engineering, Department of Multimedia and Information-Communication Technologies. Since 2018, he has worked full-time with the ERAdiate team focusing on vehicular network applications and communication standards. MSc (2015) and PhD (2018) in Electrical Engineering from University of Žilina PhD thesis: Cooperative Technologies in Intelligent Transportation Systems His research interests include: Vehicular and cellular networks Computer modelling of cooperative ITS Emergency vehicle warning applications Awards: European Transport Innovation Challenge 2017

Giuseppe Luganoمشاهده پروفایل

پژوهشگر

• Intelligent Transport Systems
• Social Computing
• Digital Community Design
• +۵ مورد دیگر

Giuseppe Lugano is a Senior Researcher in Intelligent Transport Systems at the ERAdiate team, University of Žilina, Slovakia, where he has been based since September 2016. Previously, he served as a Science Officer at COST (2011-2016) and contributed to R&D at the ICT multinationals TeliaSonera (2004-2008) and Nokia (2010). Education PhD in Cognitive Science – University of Jyväskylä, Finland MSc in Computer Science – University of Bologna, Italy Research Interests Dr. Lugano's work intersects social computing with practical applications in transport and mobility . His investigations encompass digital community design , modelling how online and mobile communities form and sustain themselves, mobile social networks , exploring network dynamics on handheld devices, social robotics , examining human-robot interaction in social contexts, educational technologies , creating digital tools that enhance learning experiences, green ICT , developing energy-efficient information systems, and smart mobility solutions , integrating ICT into sustainable transport systems. Scientific Awards & Recognition Nominated for the Early Stage Researcher Award , COST Action 298 “Participation in Broadband Society” (2009) His PhD dissertation Digital Community Design is among the most-downloaded works in the Jyväskylä Studies in Computing series (~5,000 downloads). His publication Mobile social networking in theory and practice is regarded as a key reference in the field. Advising & Grants While specific doctoral or master’s students are not listed in the provided text, Dr. Lugano’s extensive experience in European trans-disciplinary research networks at COST indicates significant involvement in mentoring early-career researchers and coordinating multi-institutional projects across Europe. Teams & Labs He is a core member of the ERAdiate team at the University of Žilina, an interdisciplinary research group focused on Intelligent Transport Systems and smart mobility innovation.

Aleksandar Karadimceمشاهده پروفایل

پژوهشگر

• Computer Science
• Mobile Network Communications
• Cloud Computing
• +۴ مورد دیگر

Aleksandar Karadimce is a Researcher and Teaching Assistant at the University of Information Science and Technology 'St. Paul the Apostle' in Ohrid, Macedonia. He participated in a Short-Term Scientific Mission (STSM) from 12/3/2018 to 10/4/2018 at the University Science Park (ERAdiate) under COST Action CA15212. Collaborated with UNIZA Faculty of Electrical Engineering and ERAdiate researchers. Contributed to the H2020 MoTiV project by refining its conceptual framework and mobile application requirements. His research focuses on Quality of Experience (QoE) in multimedia content delivery, with applications in mobile cloud services and smart mobile domains . This includes developing QoE indicators tied to user factors like interactivity, service complexity, and multimedia intensity. The Bayesian Network Model for Estimating User Satisfaction (2017) exemplifies his work in QoE standardization and interoperability, aligning with COST Action CA15212's objectives. His research trends emphasize integrating data standardization and user perception models into emerging domains like intelligent transport systems. Aleksandar has received grants for his work, including the QoE-NET Summer Research School (2016) and an ITC Conference Grant for presenting at MoMM2017. These opportunities supported his contributions to multimedia cloud services and QoE refinement. His collaborations extend to the MoTiV project , where he provided insights into mobility and behavioral experience data collection, and engagement with COST Actions like QUALINET and ACROSS. Future work aims to apply his QoE expertise to travel experience assessment in intelligent transport systems.