جست‌وجوی استاد و پژوهشگر

Romaric Duvignauمشاهده پروفایل

دانشیار

• Distributed Systems
• Network Security
• IoT/CPS Applications
• +۷ مورد دیگر

Romaric Duvignau is an Associate Professor at Chalmers University of Technology since 2024, affiliated with the Department of Computer Science and Engineering within the IT Faculty. His primary research focuses on distributed systems, network security, and cyber-physical systems (CPS), with an emphasis on optimizing communication and computational efficiency in distributed applications. Key projects include the READY project for continuous monitoring systems and contributions to P2P energy sharing optimization via the DEEP and HyperP2P initiatives. He has been at Chalmers since 2017 and also holds teaching responsibilities in computer networks and data-driven systems. Research Interests: Distributed Algorithms & Optimization Cybersecurity & Privacy Peer-to-Peer Energy Sharing Vehicular Networks Edge Computing & Streaming Analytics Notable Articles: His recent works include advancements in P2P energy matching algorithms (2025), Byzantine fault-tolerant consensus (2025), and vehicular data localization (2021). Earlier contributions include impactful studies on vehicular networks (DRIVEN framework, 2020) and network traffic analysis (2019). Teaching & Grants: Responsible for courses like Computer Communication (EDA343) and Data-driven Support for CPS. Active in educational innovation, exploring AI impacts on teaching and active learning tools like Kahoot/Mentimeter. Labs/Teams: Member of the Distributed Computing and Systems group at Chalmers Networks and Systems division, collaborating with researchers like Marina Papatriantafilou and Vincenzo Gulisano on energy systems and distributed algorithms.

Yixin Zhangمشاهده پروفایل

مدرس ارشد

• Social Media
• Online Communities
• Human Computer Interaction
• +۳ مورد دیگر

Yixin Zhang is a Senior Lecturer at the Department of Applied IT under the Informatics division at the University of Gothenburg. His research focuses on social media, online communities, human-computer interaction, digital activism, and green consumption. He holds a PhD from Hong Kong University of Science and Technology and bachelor’s degrees from the University of Hong Kong in Information Systems and Software Engineering (both with First Class Honors). Education Background: PhD in Information Systems, HKUST Bachelor of Science (First Class Honors) in Information Systems and Software Engineering, HKU Research Interests: His work explores the intersection of technology and societal impact, particularly in digital government systems, user privacy in social platforms, and sustainability through digital innovation. Recent studies include designing transparent AI systems for public sectors and understanding engagement dynamics in microblogging platforms. Publications Trends: Over 20 articles since 2016, with recent focus on digital government transformation, generative AI governance, and privacy challenges in social media. Notable contributions include frameworks for legacy system renewal in municipalities and co-creation mechanisms in digital service design. Grants & Awards: No specific awards listed; active in collaborative projects with municipal and environmental sectors. Labs/Teams: Collaborates across disciplines but no dedicated lab mentioned in the profile.

• Sustainability Transitions
• Education for Sustainable Development
• Industrial Ecology
• +۴ مورد دیگر

John Holmberg is a Professor of Physical Resource Theory at Chalmers University of Technology and holds Sweden’s first UNESCO Chair in Education for Sustainable Development. He has pioneered sustainability education and transition initiatives globally, including founding the world’s first master’s program in Industrial Ecology and the Challenge Lab, which received the GUPES Green Gown Award (2016). His research focuses on sustainability transitions, climate policy, and systemic transformation, with significant contributions to Agenda 2030 implementation. He has held leadership roles, including Vice President of Chalmers (2007–2016), and advised international bodies like the UN, UNESCO, and EU on sustainability strategies. His work bridges academia, policy, and industry, emphasizing student-led initiatives and transdisciplinary collaboration. Awards include recognition as Sweden’s best teacher in environment and sustainable development. International Advisory Roles: UN, UNESCO, UNEP, EU Expert Groups. Labs/Initiatives: Challenge Lab, Chalmers Initiative for Innovation and Sustainability Transitions. Key Themes: Education for sustainable development, circular economy, decarbonization strategies, and societal transformation. His publications span over four decades, addressing topics from quantum physics to sustainable urban futures. Recent work emphasizes multi-level learning frameworks for systemic change and hydrogen economy applications in regional development.

• AI Ethics
• Social Media Analysis
• Online Communities
• +۳ مورد دیگر

Anna De Carvalho Guimarães is a researcher at KTH Royal Institute of Technology, Sweden, focusing on bridging AI technology development with regulatory frameworks like the EU AI Act. She holds a postdoc position under Tobias Oechtering, collaborating with Stockholm University and Scania. Previously, she was a Teaching Fellow at the University of Warwick (UK) and completed her PhD at Saarland University/Germany under Prof. Gerhard Weikum, with research at the Max Planck Institute for Informatics. Her research interests span AI ethics, privacy, transparency, and fairness in AI systems, alongside analyzing social media dynamics, online political discourse, and cloud computing performance. She has published extensively on controversial discussions in social platforms, community behavior in knowledge-sharing networks, and adversarial politics on Twitter. Her current project addresses misalignments between legal requirements and technical limitations in AI systems, aiming to create actionable compliance guidelines. Though no formal awards are listed, her work demonstrates significant contributions to interdisciplinary research between law and computer science. Her academic journey includes teaching roles and collaborative projects across Europe, maintaining an active research agenda that combines technical innovation with societal impact considerations.

• Structural Mechanics
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Magnus Burman is a researcher at the Royal Institute of Technology (KTH) in the Department of Solid Mechanics , focusing on structural mechanics and composite materials. He contributes to teaching and course coordination in disciplines such as Fiber Composites , Strength of Materials , and Vessel Technology . Role: Teacher, Examiner, Course Coordinator Contact: Email mburman@kth.se , Phone +46 70 549 64 50 Research Interests center on lightweight structural design, ice-ship interaction mechanics, and composite material behavior under dynamic loads. His work bridges computational modeling and experimental validation for applications in marine, aerospace, and mechanical systems. Scientific Publications (2019–2023) address topics like finite element analysis of ice loads , sandwich panel design for Arctic conditions , and failure mechanisms in composite joints . Key trends include the integration of machine learning for predictive ship performance modeling and probabilistic methods for ice pressure analysis.

• Vehicle Dynamics
• Automotive Engineering
• Mechanical Engineering
• +۳ مورد دیگر

Jenny Jerrelind is an Associate Professor in Vehicle Dynamics at KTH Royal Institute of Technology, specializing in the Department of Vehicle Engineering and Technical Acoustics. Her research focuses on vehicle dynamics, including rolling resistance, tyre wear, motion cueing for driving simulators, torque vectoring, and motion sickness mitigation in autonomous vehicles. She employs mathematical modeling, simulation, control systems, and experimental evaluation in her work. At KTH, she teaches courses such as Ground Vehicle Dynamics, Vehicle Components, and Vehicle System Technology, and supervises PhD students. Her research interests span cutting-edge areas like energy-efficient vehicle control, tyre performance optimization, and human-centric vehicle design. Key projects include developing thermodynamic models for tyre rolling resistance, exploring suspension systems to reduce wear, and enhancing motion cueing in driving simulators. She collaborates with the Centre for ECO2 Vehicle Design and KTH Transport Platform to advance sustainable and efficient vehicle technologies. Publications highlight her contributions to topics like transient rolling resistance, tyre temperature effects, and autonomous vehicle trajectory planning. While no scientific awards are explicitly mentioned, her extensive peer-reviewed output underscores her academic influence. She actively participates in academic committees and course leadership roles, reflecting her dual commitment to teaching and research. Jenny’s work bridges theoretical analysis and practical applications, addressing both environmental and ergonomic challenges in modern transportation systems. Her research group frequently publishes in top journals like Vehicle System Dynamics and International Journal of Automotive Technology , and she contributes to international conferences on vehicle dynamics and control.

• Railway Energy
• Sustainability
• Traction and Braking Systems
• +۸ مورد دیگر

William Liu is a Researcher at KTH Royal Institute of Technology's Department of Vehicle Engineering and Technical Acoustics since 2020, focusing on railway energy and sustainability. He has extensive experience in railway systems development, having contributed to high-speed rail projects (up to 421 km/h) and over 20 research projects, yielding 60 publications. His work emphasizes energy efficiency, safety, and innovative systems like maglev and hyperloop. Education: He holds a Doctor of Philosophy (2017), Licentiate (2015), and Master's (2009) in Mechanical Engineering from KTH and Tianjin University. He is also a Docent in Rail Vehicle Technology (expected 2025). Research interests include traction systems, electric power supply optimization, pantograph-catenary dynamics, climate adaptation, and circular economy applications in rail transport. He teaches multiple courses, including Rail Vehicle Technology and Energy Technologies for Sustainable Transport at the bachelor and master levels, and advises doctoral students in areas like braking systems and vehicle dynamics under adverse conditions. Recent research trends in his articles focus on smart controllers for decarbonization, pantograph-catenary interaction dynamics, and hyperloop technology. He co-supervises PhD projects and mentors over 20 thesis students, addressing topics such as energy optimization for commuter trains and circular economy quantification. He is a member of the Swedish Electrical Standardization Committee and leads the KTH Delsbo Electric Team, actively shaping industry standards and next-gen rail innovation.

• Railway Engineering
• Vehicle-Track Dynamics
• Transportation Systems
• +۴ مورد دیگر

Professor Mats Berg is a leading academic at KTH Royal Institute of Technology, specializing in railway technology and vehicle dynamics. He holds the position of Professor in Railway Technology since 2003 and has served as Head of the Rail Vehicles unit (2004–2023). His roles include Board membership of the KTH Railway Group and editorial roles in journals like Journal of Rail and Rapid Transit and Vehicle System Dynamics . Education: PhD in Structural Mechanics (Lund University, 1987), MSc in Civil Engineering (Lund University, 1980). Research focuses on vehicle-track dynamic interaction, rail vehicle suspension dynamics, and energy efficiency in rail systems. Key contributions include state-of-the-art papers on rail vehicle dynamics simulation, suspension modeling, and energy-efficient vehicle design. He has authored/co-authored textbooks such as Rail Vehicle Dynamics (2021) and contributed to the Handbook of Railway Vehicle Dynamics . Recent articles explore topics like wheel-rail contact mechanics, smart energy systems in rail transport, and instability detection algorithms. His work has positioned him among the top 2% globally cited researchers in Mechanical Engineering & Transports (2020). Supervised 11 PhD students and actively participates in projects like Shift2Rail, focusing on decarbonization and energy labeling. Leads the Rail Vehicles unit and collaborates with industry partners like ABB Traction. His research integrates computational modeling, experimental validation, and real-world applications to advance sustainable rail technologies.

• Computational Science
• Scientific Computing
• Technology Research
• +۳ مورد دیگر

Dimitrios Korakovounis is a Researcher and doctoral student at KTH Royal Institute of Technology, affiliated with the Division of Computational Science and Technology. He is based at Lindstedtsvägen 5 in Stockholm, Sweden, and can be reached at dimkor@kth.se . His role involves contributing to research activities within computational methodologies and technological innovation. While specific research interests are not detailed in the provided text, his affiliation with the Division of Computational Science and Technology suggests a focus on computational methods, algorithm design, and interdisciplinary applications of technology. His doctoral studies likely align with these areas, though no explicit description of his thesis topic or ongoing projects is available. No academic awards, grants, or published articles are listed in the current information. His professional narrative emphasizes his current engagement in academic research and training at KTH.

• Communication Theory
• Wireless Networks
• Signal Processing
• +۳ مورد دیگر

Pap László is a Professor at the Budapest University of Technology and Economics (BME), affiliated with the Faculty of Electrical Engineering and Informatics (VIK) and the Department of Network Systems and Services. He has held roles since 1949, transitioning through departments including the Department of Information Technology (2000–2012) and currently leads the Department of Network Systems and Services (from 2013). He is also a core member and council member of the Doctoral School of Electrical Engineering (BME/EHBDT) since 2002. His research focuses on communication theory, wireless networks, and signal processing, with a strong emphasis on Non-Orthogonal Multiple Access (NOMA), MIMO systems, and LTE technologies. Recent work includes studies on channel estimation in NOMA systems, capacity analysis of multi-user scenarios, and synchronization methods for spread spectrum systems. He has collaborated with researchers like Zoltán Belső and Ádám Knapp on projects addressing wireless resource allocation and interference management. Pap’s publications span journals like INFOCOMMUNICATIONS JOURNAL and Wireless Networks , with conference contributions at events such as SoftCOM and IEEE EUROCON. His work bridges theoretical advancements in telecommunications with practical applications in modern wireless systems.

• Telecommunication Engineering
• Sensor Networks
• Wireless Communication
• +۳ مورد دیگر

Szabó Sándor is an academic affiliated with the Department of Network Systems and Services at the Budapest University of Technology and Economics (BME). His primary roles include research in telecommunications, sensor networks, and wireless communication systems. He has been active in the Department of Network Systems and Services since 2013 and is also associated with the University Research and Innovation Center ÓE EKIK since 2022. His research focuses on optimizing wireless sensor networks (WSN), energy efficiency in communication systems, and applying advanced technologies like computer vision and machine learning to agricultural challenges, such as livestock monitoring and poultry farming automation. He collaborates frequently with institutions like the University of Bologna and IEEE conferences. Notable contributions include studies on Bluetooth Low Energy networks, payload aggregation techniques, and edge/cloud architecture applicability in farming systems. His work emphasizes practical solutions for real-world problems in both telecommunications and agricultural technology.

• Telecommunications
• Computer Networks
• Service Chaining
• +۳ مورد دیگر

Zsóka Zoltán is a Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Network Systems and Services within the Faculty of Electrical Engineering and Informatics. His roles include membership in the Doctoral School of Informatics (BME/EHBDT) and prior affiliation with the Department of Information Technology (BME/VIK HIT from 2000-2012). He holds a PhD in Information Technology from BME, awarded in 2007. His research focuses on telecommunications, computer networks, service chaining, Quality of Service (QoS), network optimization, and optical networks. Key research interests include network slicing, traffic engineering, and dynamic service chaining in both traditional and 5G networks. His work spans theoretical modeling and practical tools like FLEXPLANET for multi-layer network design. Over 15 years, he has contributed to optimizing network performance through dynamic grooming algorithms and realistic traffic analysis using simulation frameworks like GANCLES. His publications address challenges in IP over WDM, elastic traffic management, and survivability in optical topologies. Zsóka’s articles highlight trends in network architecture innovations, with emphasis on balancing efficiency and QoS in evolving telecommunications systems. He has advised multiple collaborative projects with industry partners and maintains an active publication record spanning conferences like INFOCOMMUNICATIONS JOURNAL, IEEE ICIN, and IEEE PIMRC. His work contributes to both academic discourse and practical network solutions.

• Quantum Information
• Quantum Computing
• Quantum Communication
• +۳ مورد دیگر

László Gyöngyösi is a researcher at the Budapest University of Technology and Economics (BME), affiliated with the Department of Network Systems and Services and the MTA-BME Informatics Systems Research Group. His work focuses on quantum information science, particularly quantum internet architectures, quantum computing optimization, and secure quantum communication protocols. Research interests include quantum networks, resource management in distributed quantum systems, and theoretical foundations of quantum algorithms. His publications emphasize scalable quantum architectures, entanglement distribution, and cryptographic applications of quantum technologies. Recent articles explore advancements in quantum internet protocols, gate-model quantum computer dynamics, and optimization techniques for near-term quantum devices. His work contributes to both foundational theory and practical implementations of quantum technologies.

• Quantum Communication
• Optical Communication
• Satellite Systems
• +۳ مورد دیگر

Máté Galambos is an academic affiliated with the Budapest University of Technology and Economics (BME), specifically within the Faculty of Electrical Engineering and Informatics and the Department of Network Systems and Services . His primary role is as a Researcher , focusing on cutting-edge quantum communication technologies and optical systems. He has contributed significantly to projects such as the development of Hungary’s first free-space quantum key distribution (QKD) link and the design of compact photon pair sources for quantum networks. His research spans quantum cryptography, satellite communication systems, and the practical implementation of free-space optical communication. Galambos has authored/co-authored over 30 scientific publications, including peer-reviewed journal articles in Optical Engineering and Physical Review A , and conference proceedings from events like the International Astronautical Congress and the Hungarian Space Research Forum. His work emphasizes the intersection of quantum technology with aerospace engineering, particularly in overcoming technical challenges for open-air quantum communication and improving clock synchronization in space-based systems. Key areas of focus include beam wander analysis in quantum channels, polarization entanglement conversion, and adapting telescopes for optical communication. He collaborates widely with institutions like the Hungarian Astronautical Society and leads projects aimed at advancing Hungary’s quantum communication infrastructure. His contributions are pivotal in bridging theoretical quantum research with practical applications in satellite and free-space communication systems.

• Vehicular Ad-Hoc Networks (VANETs)
• Reinforcement Learning
• Network Routing Optimization
• +۳ مورد دیگر

Alabbas Hasanain is a researcher affiliated with the Department of Network Systems and Services at Budapest University of Technology and Economics (BME). He completed his PhD in 2023 under the supervision of Árpád Huszák, focusing on routing strategies in vehicular ad-hoc networks (VANETs). His research interests span reinforcement learning applications in network optimization, clustering algorithms for traffic surveillance, and intelligent transportation systems design. Hasanain has collaborated extensively with Prof. Árpád Huszák on multiple projects addressing VANET connectivity and multi-objective optimization. Institution: Budapest University of Technology and Economics Doctoral Program: Doctoral School of Informatics (2017-2023) His publications emphasize practical solutions for vehicular communication challenges, including gateway selection algorithms and real-time road surveillance systems. Notable contributions include integrating reinforcement learning with traditional optimization techniques (e.g., multi-objective integer programming) to enhance VANET performance metrics like latency and reliability. His work bridges theoretical computer science with applied transportation engineering.