جست‌وجوی استاد و پژوهشگر

Tettamanti Tamásمشاهده پروفایل

استاد

• Road Traffic Modeling and Control
• Traffic Simulation
• Intelligent Transportation Systems (ITS)
• +۳ مورد دیگر

Tettamanti Tamás is a Full Professor and Deputy Head of the Department of Control for Transportation and Vehicle Systems at the Budapest University of Technology and Economics (Faculty of Transportation Engineering and Vehicle Engineering). He holds a DSc from the Hungarian Academy of Sciences and has extensive experience in academic roles, progressing from PhD student (2007–2010) to Associate Professor (2019–2024) and Full Professor (2025–present). His research focuses on road traffic modeling, control systems, and intelligent transportation solutions, with significant contributions to automated transport and emission analysis. Education highlights include a PhD in 2013 and habilitation in 2023, alongside a jazz trumpet diploma from Kőbánya Music Studio. He has led major projects like the EU-funded MoveCit initiative and collaborated with institutions like the HUN-REN Institute and BME ITS Ltd. His work spans academic leadership, industry partnerships, and international research networks (e.g., COST Actions TU1305 and CA162222). Key research interests include traffic simulation tools (SUMO, VISSIM), autonomous vehicle integration, and urban mobility optimization. He has developed Python tools for traffic emission analysis and co-authored manuals for simulation software. His awards include the BME Jubilee Medal (2023), Michelberger Price (2022), and repeated recognition as a 'Best 100 Professor'. Tettamanti has held editorial roles at IEEE Access and Communications in Transportation Research, and contributed to conferences like the European Control Conference and Transport Research Arena. His interdisciplinary approach bridges engineering, computer science, and environmental sustainability, addressing challenges in smart cities and automated driving systems.

• Intelligent Transport Systems
• Transport Electrification
• Traffic Flow Theory
• +۴ مورد دیگر

Chaoru Lu is an Associate Professor of smart mobility at the Department of Civil Engineering and Energy Technology, Oslo Metropolitan University. His expertise spans intelligent transport systems, transport electrification, autonomous vehicles, and traffic flow theory. He holds a Ph.D. from Iowa State University (2017), an M.S. from Texas A&M University-Kingsville (2014), and a B.S. from Hunan University of Science and Technology (2011). Research focuses on optimizing transport systems through interdisciplinary approaches, including electric vehicle safety analysis, autonomous vehicle coordination, and sustainable infrastructure planning. He leads projects like the Net-Zero Future initiative to reduce the built environment’s carbon footprint. His work integrates AI, machine learning, and data-driven modeling to address modern transport challenges. Publications span over 39 peer-reviewed articles, covering topics like electric bus fleet management, autonomous vehicle tracking algorithms, and pandemic impacts on mobility. He collaborates with institutions globally, contributing to both academic and applied transport solutions. Research Groups: Transport, Infrastructure, and Urban development (TransFrUrban) Grants/Projects: Ongoing leadership in the Net-Zero Future project.

• High Performance Computing
• Network Simulation
• Parallel Discrete Event Simulation
• +۵ مورد دیگر

Kevin A. Brown is an active researcher in the field of High Performance Computing with a strong publication record spanning over a decade. His work primarily focuses on HPC network simulation, performance analysis, and optimization of parallel computing systems. He has collaborated extensively with researchers including Christopher D. Carothers, Robert B. Ross, and Satoshi Matsuoka across multiple institutions. Dr. Brown's research interests center around network simulation techniques, particularly Parallel Discrete Event Simulation (PDES) for modeling HPC networks. His recent work explores multi-fidelity network simulation frameworks, surrogate modeling for performance prediction, and machine learning applications for network traffic forecasting. He has made significant contributions to understanding network congestion, quality-of-service mechanisms, and the interference between different types of traffic in HPC environments. His publication record shows consistent output with 19 publications documented between 2014 and 2025, with increased productivity in recent years. The 2023-2025 period shows particularly strong activity with 12 publications, indicating ongoing research momentum. His work appears primarily in top HPC conferences including SIGSIM-PADS, CLUSTER, and ICPP. Notable recent contributions include the development of MFNetSim for multi-traffic modeling of Dragonfly systems, research on zombie packet techniques for hybrid PDES simulation, and work on steady-state fluid models for HPC networks. His research demonstrates a clear trajectory from fundamental network performance analysis toward more sophisticated simulation frameworks incorporating machine learning techniques.

• Wireless Communications
• Wireless Propagation Mechanisms
• Wireless Networks
• +۵ مورد دیگر

Pamela Njemcevic is an Assistant Professor at the University of Sarajevo, affiliated with both the Faculty of Electrical Engineering and the Faculty of Transport, Traffic and Communications. She holds a Ph.D. from the University of Sarajevo (2016) and has been actively involved in research and teaching since 2006. Her research focuses on wireless communications, propagation mechanisms, and network technologies, with notable contributions to fading models, SDN architectures, and OFDM systems. Education: Bachelor's degree in Electrical Engineering (2006) Master's degree (2011) Ph.D. (2016) Research Interests: Wireless propagation mechanisms LPWAN and IoT technologies Software-Defined Networking (SDN) OFDM system optimization Quantum cryptography in 5G Publications reflect expertise in fading channel modeling, SDN performance, and wireless system design. Her work bridges theoretical analysis and practical network implementations. Collaborations include projects on TETRA systems and in-service testing of OFDM error floors. Advising and Grants: Pamela has contributed to multiple research projects, though specific grants or advisees are not listed. Her work emphasizes applied research with industry relevance.

Radha Reddyمشاهده پروفایل

استادیار

• Intelligent Transportation Systems
• Wireless Sensor Networks
• IoT Security
• +۴ مورد دیگر

Radha Reddy is an Assistant Professor in the Department of AI & ML at Mohan Babu University, AP, India. Previously, she served as an Assistant Professor at Amrita University, TN, India. She holds a PhD in Electrical and Computer Engineering (EEC) from the University of Porto (2023), supported by an FCT fellowship. Her research focuses on Intelligent Transportation Systems, particularly optimizing traffic light control for mixed human/autonomous traffic to enhance urban sustainability. She has eight years of full-time research experience with institutions like COPELABS-Lisbon, Inria-Paris, and CISTER Research Center-Porto, and collaborates with CEDRIC Labs CNAM-Paris since 2013. Education : B.Sc. in Computer Science (2007), Sri Venkateswara University M.Sc. in Computer Science (2009), Sri Venkateswara University M. Tech. in Computer Science and Engineering (2014), Jawaharlal Nehru Technological University Ph.D. in Electrical and Computer Engineering (2023), University of Porto Research Interests : Her work centers on Intelligent Transportation Systems , including traffic light control for autonomous vehicles, wireless sensor networks, IoT security, and sustainable urban mobility. She explores synchronization protocols to reduce traffic delays and emissions, with applications in mixed traffic scenarios. Publications : Her recent work (2023–2024) emphasizes energy efficiency in electric vehicles at intersections, worst-case response time analysis, and synchronization frameworks for complex intersections. These contributions advance real-time traffic management and eco-friendly urban planning. Collaborations : She collaborates with CISTER Research Center, COPELABS, Inria, and CEDRIC Labs, focusing on interdisciplinary projects in transportation and network security. Her work spans both theoretical and applied research in smart infrastructure.

Bruno Barreto de Góesمشاهده پروفایل

استادیار

• Strategic Management
• International Business
• Corporate Sustainability
• +۲ مورد دیگر

Bruno Barreto de Góes is an Assistant Professor in the Department of Management and International Business at the University of New Haven's Pompea College of Business. He holds a Ph.D. in Business Administration from Temple University and completed postdoctoral research at Florida International University. His research focuses on strategic management in global contexts, particularly corporate sustainability diffusion in supply networks and international market expansion strategies. Recent work examines innovation ecosystems, Industry 4.0 logistics, and emerging market competitiveness. Publication trends show consistent focus on operational optimization (vehicle routing, machine scheduling) evolving toward sustainability integration and Industry 4.0 applications. His empirical work frequently employs metaheuristic algorithms and econometric analysis across manufacturing and logistics contexts.

Marwan Hassaniمشاهده پروفایل

استادیار

• Process Mining
• Data Mining
• Unsupervised Learning
• +۷ مورد دیگر

Marwan Hassani is an Assistant Professor at Eindhoven University of Technology's Department of Mathematics and Computer Science, affiliated with the Process Analytics and EAISI Foundational groups. He leads the streaming process mining research group and the Customer Journey track at the Data Science Center Eindhoven (DSC/e). His academic background includes a PhD from RWTH Aachen University (2015) and postdoctoral research there until 2016. Research focuses on unsupervised learning methods for streaming event data, including clustering, outlier detection, and sequential pattern mining, with applications in customer journey optimization and real-time process analytics. Over 65 publications span data mining, process mining, and related areas. He serves on program committees for ECML/PKDD, SDM, and journals like KAIS and DAMI, co-chairing multiple events. Key technical contributions include PrefixCDD for concept drift detection, BFSPMiner for sequential pattern mining, and autoencoder-based anomaly detection systems. His work addresses GDPR compliance in business processes and traffic flow prediction using contrastive learning. Awards include a 2025 Best Paper Award at ACM SIGAPP. Education: PhD in Computer Science (RWTH Aachen, 2015) Projects: Led GDPR compliance project (2018-2021), developed BPR4GDPR framework Teaching: Advanced Process Mining, Foundations of Data Analytics Editorial roles: Guest editor for Data & Knowledge Engineering , editorial board member for Process Science Research aligns with UN SDGs through contributions to efficient resource management and privacy-preserving analytics.

• Artificial Intelligence
• Machine Learning
• Edge Computing
• +۷ مورد دیگر

Huan Liu is a Professor at Arizona State University's School of Computing, Informatics, and Decision Systems Engineering, with research spanning artificial intelligence, edge computing, and interdisciplinary applications. His work bridges theoretical advances with real-world implementations across healthcare, transportation, and environmental systems. His primary research interests include: Artificial Intelligence and Machine Learning for complex system optimization Edge-Cloud Computing architectures for IoT and vehicular networks Medical image analysis and clinical decision support systems Graph neural networks and multimodal learning Privacy-preserving federated learning frameworks Recent publications demonstrate strong emphasis on applied AI, with 15+ 2025 papers addressing UAV swarm intelligence, medical diagnostics, and sustainable transportation through novel algorithmic approaches. Publication trends reveal consistent leadership in: Developing efficient edge computing solutions for dynamic environments Creating medical AI tools with clinical validation Innovating in graph-based and multimodal learning Applying optimization techniques to logistics and environmental challenges His work frequently appears in top venues including IEEE Transactions, Bioinformatics, and AAAI.

• Digital Twin Technologies
• Internet of Things (IoT)
• Edge Computing
• +۵ مورد دیگر

Roberto Minerva is a researcher at Sorbonne University , Paris, France, focusing on Digital Twin Technologies , Internet of Things (IoT) , and Edge Computing . His work addresses Smart Cities , Urban Data Management , and Machine Learning Applications through advanced architectural frameworks. His recent publications highlight innovations in: Digital twin architectures for real-time urban air quality and traffic management AI-driven and scalable frameworks for large-scale sensor networks Blockchain applications in secure supply chain finance Minerva frequently collaborates with researchers like Noël Crespi , Manoj Herath , and Maira Alvi , contributing to journals such as IEEE Internet Comput. , IT Prof. , and conferences like NetSoft and CNSM . His work bridges theoretical research and practical implementations in smart city ecosystems.

• Transport Engineering
• Road Safety
• Transport Planning
• +۳ مورد دیگر

Long Truong is a Senior Lecturer in the Department of Engineering at La Trobe University and heads the Sustainable Urban and Rural Transport (SURT) Research Group. He holds a PhD from Monash University and a Master of Engineering from the University of South Australia. His research focuses on transport engineering, road safety, simulation, data analytics, and intelligent transport systems. Prior academic roles include Lecturer at La Trobe (2018-2021) and Research Fellow at Monash (2017). Non-academic experience includes Senior Engineer at the Australian Road Research Board and Transport Engineer with Vietnam’s Directorate for Roads. His editorial roles include Associate Editor of Traffic Injury Prevention and membership on the editorial boards of Travel Behaviour & Society and Journal of Advanced Transportation . Professional committee memberships include the Eastern Asia Society for Transportation Studies and Australasian Transport Research Forum. Recent research grants include projects on level crossing safety (2023-2025), crash prediction tools (2021-2023), and heavy vehicle turntable use in construction. His work spans 64+ publications, with recent articles addressing tram safety, nighttime railway visibility, and bridge-related crash analysis. His research emphasizes data-driven solutions for safer, sustainable transport systems.

Aristotel Tentovمشاهده پروفایل

استاد

• Computer Architectures
• Processor Architectures and Organization
• Networking (Wired/Wireless/Mobile)
• +۹ مورد دیگر

Dr. Aristotel Tentov is a Full Professor at the Faculty of Electrical Engineering, Computer Science Department of the University 'St. Kiril i Metodij' in Skopje, Macedonia. He holds a Ph.D. in Computer Science (1994), M.S. (1989), and B.S. (1983) from the same university. His career spans over three decades, progressing from Research Assistant (1985) to Assistant Professor (1994), Associate Professor (1999), and Full Professor (2004). His research encompasses Computer Architectures Multiprocessor Systems Networking (Wired/Wireless/ATM) Embedded Systems RFID Process Control Dr. Tentov authored/co-authored over 20 scientific papers and technical reports, with notable work on TCP performance modeling (2000–2001) and double-loop network analysis (1990s). Projects include NATO fighter avionics integration (1991) and EU-funded HeliNet stratospheric network design (2001). He led multiple industrial projects including control systems for zinc smelters, university computer networks, and the Macedonian Rosetta Stone deciphering initiative (2003–2005). His work bridges academic research with practical industrial solutions.

Muhammad Hussainمشاهده پروفایل

پژوهشگر ارشد

• Road Safety
• Autonomous Vehicles
• Transportation Engineering
• +۴ مورد دیگر

Dr. Muhammad Hussain is a Research Fellow at The University of Western Australia (UWA) within the School of Psychological Science, affiliated with the Western Australian Centre for Road Safety Research (WACRSR). He holds a PhD from Tsinghua University, a Master's from the University of Engineering and Technology (Taxila, Pakistan), and a Bachelor's in Civil Engineering from the same institution. His expertise spans road safety, autonomous vehicles, traffic modeling, and pavement engineering. Key research areas include cooperative automated driving, road safety in roadwork zones, and driver distraction impacts on traffic flow. He has contributed to 19 peer-reviewed articles and secured grants such as the Austroads Project on driver distraction. His work aligns with UN Sustainable Development Goals, particularly in advancing safe and sustainable transport systems. Education: PhD in Transportation Engineering, Tsinghua University (2021) Masters in Transportation Engineering, UET Taxila (2014) Bachelor in Civil Engineering, UET Taxila (2011) Research Interests: Focuses on road safety innovation, including autonomous vehicle integration, accident analysis, and traffic simulation. His work combines empirical studies with advanced modeling techniques to address modern transportation challenges. Current projects include evaluating lane-change behaviors in roadwork environments and investigating cross-border tourism through economic corridors. Grants & Projects: Principal Investigator in the Austroads Project National Driver Distraction Roadmap: Stage 3 Implementation , focusing on data harmonization strategies to mitigate driver distraction risks. Labs/Teams: Conducts research through the WACRSR, a multidisciplinary center addressing road safety challenges in Australia and globally. Additional Roles: Adjunct Research Fellow at Queensland University of Technology and contributor to international conferences on transportation safety and policy.

• Environmental Fluid Mechanics
• Turbulence and Pollutant Dispersion
• Internal Combustion Engines
• +۴ مورد دیگر

Adjunct Professor Richard Brown from Queensland University of Technology's Faculty of Engineering leads the Environmental Fluid Mechanics Group while directing the Biofuel Engine Research Facility. With expertise in Thermodynamics and Fluid Mechanics (thermofluids), his work spans renewable energy systems, engine emissions analysis, and environmental pollutant dispersion. Over 6,200 Scopus citations and $5M+ in research grants highlight his academic impact. PhD in Mechanical Engineering (University of Sydney) Bachelor of Theology (Sydney College of Divinity) Bachelor of Engineering (University of Technology Sydney) Research emphasizes applied thermodynamics , internal combustion engine optimization , and alternative fuel development through projects like: 2015-2018 VIED-funded shipping emissions monitoring 2014-2018 ARC-funded satellite river flow monitoring 2012-2015 peak3 P/L diesel filtration studies 2008-2010 ARC-funded photocatalytic water treatment His 2025 publications focus on ship emission modeling , reduced chemical kinetics , and biofuel nanostructural analysis . Professional roles include conference co-chair (Australasian Fluid Mechanics Conference 2020) and editorial positions for environmental engineering proceedings. Teaching innovations feature interactive web tutorials and museum-based thermodynamics labs.

• Civil Engineering
• Transportation Engineering
• Hydraulic Modelling
• +۵ مورد دیگر

Dr. Marc Miska is a Senior Lecturer at Queensland University of Technology (QUT), affiliated with the School of Civil & Environmental Engineering. He holds a PhD from Delft University of Technology and has over 15 years of experience in applied informatics for civil engineering, spanning hydraulics, transport systems, and container logistics. His research focuses on data-driven solutions, including smoothed particle hydrodynamics for urban flood simulation, digital twins in stormwater management, and ontology-based hydraulics models. He teaches construction methodologies and contracting regulations, and has contributed to projects like the Brisbane Metropolitan traffic simulation framework. Key research interests include transport modeling, urban hydrology, and integrating new technologies into civil engineering practice. Recent work emphasizes flood modeling using SPH methods and improving decision support systems through simulation. His publications span 20+ years, addressing traffic simulation, sensor data fusion, and sustainable construction practices. Miska has supervised doctoral and master’s students on topics like BRT station design, traffic signal optimization, and worker productivity in harsh climates. Education: Doctor of Philosophy (Civil Engineering), Delft University of Technology, Netherlands Professional Experience: Senior Lecturer, QUT (2018–present) Project Leader, Smart Transport Research Centre, QUT (2010–2018) Postdoctoral Research Fellow, University of Tokyo (2007–2010) Teaching: Coordinates EGB382 (Construction Methodologies) and EGB482 (Contracting Regulations) Guest lectures on mobile computing (IAB230) Research Contributions: His work bridges theory and practice through tools like OpenTrafficSim and SPH-based flood models. Recent trends in publications emphasize environmental engineering (soil-carbon analysis, rainfall simulators) and smart transport systems (BRT optimization, Bluetooth data analysis). His frameworks are used in urban planning and disaster risk mitigation. Awards: None explicitly listed. Grants & Supervision: Supervised 6+ doctoral projects (e.g., heterogeneous traffic modeling, BRT station design) and 2 master’s studies. Collaborates with industry on transport data standards and infrastructure resilience. Labs/Teams: Active in QUT’s Civil Engineering discipline, contributing to the School’s focus on sustainable infrastructure and digital innovation.

• Control Systems
• Networked Control Systems
• Automotive Engineering
• +۵ مورد دیگر

Mehmet Akar is a full-time Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Boğaziçi University. His research focuses on control systems, networked control systems, multi-agent coordination, wireless communication, and optimization algorithms. He has contributed extensively to the fields of distributed consensus protocols, resilient networks, and resource allocation in heterogeneous systems. His work integrates mathematical system theory with practical applications in automotive systems, wireless networks, and industrial process control. Key research themes include cluster consensus in multi-agent networks, Byzantine-resilient algorithms, and adaptive control strategies for complex systems. Recent publications emphasize distributed algorithms for resource allocation in NOMA/MEC systems and fault-tolerant consensus mechanisms. His research also addresses challenges in vehicular platooning, industrial process modeling, and time-delay systems. Award-winning interdisciplinary contributions bridge theoretical advancements and real-world applications, with active engagement in both academic research and industry collaborations.