جست‌وجوی استاد و پژوهشگر

• Transport Planning
• Traffic Simulation
• Intelligent Transport Systems (ITS)
• +۳ مورد دیگر

Dr. Mark Raadsen is a Postdoctoral Research Fellow at the University of Sydney's Institute of Transport and Logistics Studies (ITLS) within the Business School. His research focuses on the supply side of transport, particularly dynamic/static traffic assignment methods, traffic flow theory, and algorithm design. He co-founded the open-source transport planning tool PLANit . Mark holds an MSc from Twente University (Netherlands) and a PhD from the University of Sydney. **Education:** MSc in Computer Science, Twente University, Netherlands PhD in Transport Planning, University of Sydney **Research Interests:** Combines academic rigor with practical applications, emphasizing aggregation/decomposition methods in multi-scale/multi-modal transport contexts. His work integrates sustainability aspects into transport models to aid policy-making. Key areas include variable speed limits, traffic simulation, and intelligent transport systems. **Teaching:** Contributes to courses such as Strategic Transport Planning, Traffic and Mobility Management, and Quantitative Methods in Transport. His teaching bridges theoretical frameworks with real-world applications. **Awards & Recognition:** While no explicit awards were listed, his work has led to commercial adoption and tangible impacts in transport systems globally. **Labs/Projects:** Co-lead of the PLANit project, an open-source platform for transport planning. His research has influenced both academic discourse and industry practices through models like the link transmission framework.

Maria Grazia Scutellaمشاهده پروفایل

استاد

• Combinatorial Optimization
• Robust Optimization
• Network design and routing
• +۵ مورد دیگر

Roles & Affiliations: Full Professor at the Department of Computer Science, University of Pisa. Served as Vice Director of the Department (2020–2024). Active in editorial roles for journals like Networks and Computers & Operations Research . Education: Laurea in Information Science (University of Pisa, 1985, cum laude), PhD in Computer Science (University of Pisa, 1990). Qualified as Full Professor in Operations Research (2013). Research Focus: Specializes in Combinatorial Optimization, Robust Optimization, Network Design, and Logistics. Key contributions include green wireless networks, home care optimization, and vehicle routing. Awarded the Best Paper in Omega (2018) and recognized for seminal work in Discrete Applied Mathematics (1998). Teaching: Teaches courses in Operations Research, Logistics, and Network Optimization at both undergraduate and graduate levels, including international programs. Grants & Projects: Led national and international projects, including PNRR initiatives on sustainable mobility and IREAD-4.0 for warehouse optimization. Collaborated with industries like Softec S.r.l. and Siemens. Professional Activities: Organized major conferences (e.g., INOC 2009). Served on editorial boards and scientific committees for AIRO, INOC, and other networks. Active in mentoring doctoral students and fostering academic-industrial partnerships.

• Transport Planning
• Urban Analytics
• Traffic Modeling
• +۵ مورد دیگر

Sekhar Somenahalli is a Senior Lecturer at University of South Australia 's UniSA STEM school, affiliated with the School of Natural and Built Environments . His work spans transport planning, urban analytics, and sustainable mobility systems, with a focus on walkability, traffic modeling, and public transport optimization. Research Themes : Walkability Assessment : Developed novel metrics for measuring land-use mix and pedestrian infrastructure quality Traffic Modeling : Pioneered multi-tier frameworks like the Tactical Adelaide Model Public Transport Innovation : Investigated bus-based transit corridors and interchange efficiency Shared Mobility : Identified regulatory and infrastructural barriers to sharing economy services His recent publications analyze census-based mobility prediction, spatiotemporal traffic patterns, and socio-demographic walkability variations. Despite extensive grant funding (e.g., CRC for Low Carbon Living), no specific awards are documented in the provided materials. He supervises research students and applies GIS extensively in urban infrastructure analysis.

Maryam Kamgarpourمشاهده پروفایل

استادیار

• Control Theory
• Game Theory
• Mechanism Design
• +۶ مورد دیگر

Maryam Kamgarpour is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL), School of Engineering. She previously held faculty positions at the University of British Columbia and ETH Zürich. Her work bridges stochastic control , multiagent learning , and game theory , focusing on safety-critical systems. Education: PhD in Engineering from UC Berkeley, BSc in Applied Science from University of Waterloo. Research Interests: Control under uncertainty, game theory, mechanism design, mixed-integer optimization, and applications to transportation, robotics, power grids, and healthcare. Her recent publications emphasize safe reinforcement learning , multirobot coordination , and stochastic trajectory planning , with applications to aircraft navigation and energy systems. She has received the European Union ERC Starting Grant, NASA High Potential Individual Award, and IEEE Transactions on Control of Network Systems Outstanding Paper Award. Scientific Awards: ERC Starting Grant (2016-2021) NASA High Potential Individual Award (2010) NASA Excellence in Publication Award IEEE Outstanding Paper Award (2022) PhD Students: Jordan Philip Christopher Maddux Anna Maria Ni Tingting Ren Kai Salizzoni Giulio Schlaginhaufen Andreas Vaishampayan Saurabh Dilip Vallat Gabriel Rémi Former EPFL student: Guo Baiwei

• Optical Networks
• Network Resource Allocation
• Deep Reinforcement Learning
• +۲ مورد دیگر

Ehsan Etezadi is a visiting researcher and doctoral student at Chalmers University of Technology, affiliated with the Department of Electrical Engineering (E2) and actively contributing to advancements in Optical Networks . His research focuses on Network Resource Allocation , Deep Reinforcement Learning , and Spectrum Management in Elastic Optical Networks . He has played a pivotal role in the PROTECT project (2021–2024), which addresses resilient and secure networks for critical infrastructures. His recent publications demonstrate expertise in creating AI-driven solutions for spectrum defragmentation, programmable filterless optical network design, and impairment-aware resource allocation in multi-band environments. These works highlight his contributions to WDM Metro Network Optimization , Network Digital Twins , and Transport API Integration . Research Highlights Developing DeepDefrag - a reinforcement learning framework for spectrum defragmentation Advancing Filterless Optical Networks architecture Implementing AI-based Network Control via digital twins Addressing Joint Fragmentation and QoT Challenges

Christian Gawronمشاهده پروفایل

استاد

• Internet Technologies
• Software Engineering
• Natural Language Processing
• +۳ مورد دیگر

Prof. Dr. Christian Gawron is a Professor of Internet Technologies at the University of Applied Sciences Südwestfalen since 2019. He leads the Master's program in Applied Computer Science and has held roles as Department Head and Practice Group Leader at IBM Global Business Services (2014–2018), focusing on Watson AI, chatbots, and text mining. Previously, he was a Senior IT Architect at IBM (1999–2014), specializing in business process digitalization for the insurance sector. He earned his Dr. rer. nat. in 1999 with a dissertation on Simulation-Based Traffic Assignment , and held research roles at the Center for Applied Computer Science (ZAIK) and the Universities of Cologne and Bonn. His research spans internet technologies, software engineering, natural language processing (NLP), and traffic simulation. His academic journey includes a physics degree from the Universities of Cologne and Bonn (1989–1995). His work bridges theoretical computer science and practical AI applications, including projects like BERT-DE-NER for NLP and traffic simulation models for large networks. He advises students on theses and projects, emphasizing real-world applications of technology. Prof. Gawron’s research trends reflect a shift from foundational traffic simulation (1990s) to modern AI-driven solutions (2020s), with notable contributions to transformer models and toxic comment detection. His IBM experience underscores practical IT architecture and AI implementation. Consultations are arranged via Calendly or email. He is a prolific researcher, with key contributions in traffic flow theory (e.g., dynamic user equilibrium algorithms) and NLP (e.g., BERT-based models). His work frequently addresses interdisciplinary challenges, such as environmental impact modeling in traffic simulations (FVU cooperative, 1998). Advising & Grants: Supervised numerous theses in internet technologies and AI. Prior IBM projects included grants for AI-driven insurance process optimization and real-time traffic simulation infrastructure. Labs/Teams: Leads the Internet Technologies research group at FH Südwestfalen, collaborating with industry partners on AI and NLP applications.

Sankardas Royمشاهده پروفایل

دانشیار

• Cybersecurity
• Digital Forensics
• Android Security
• +۵ مورد دیگر

Sankardas Roy is an Associate Professor in the Department of Computer Science at Bowling Green State University. His office is located in Room 238, Hayes Hall, Bowling Green, Ohio. He holds a PhD in Information Technology from George Mason University (2008), an MS in Computer Science from the Indian Statistical Institute (2001), and a BS in Electrical Engineering from Bengal Engineering College (1997). Research Interests: Dr. Roy's research focuses on cybersecurity and digital forensics, with specialization in Android security vetting through static/dynamic analysis and machine learning techniques. Additional interests include digital forensics tool evaluation, game theory applications in security, secure data aggregation in distributed systems, and attribute-based encryption schemes. Publication Trends: His recent publications demonstrate a strong focus on Android security frameworks, malware detection using deep learning, and digital forensics methodologies. Earlier work emphasized wireless sensor network security and game-theoretic defense mechanisms, showing consistent innovation in applied security solutions across different computing domains. Grants and Projects: NSF SaTC-funded project: "Data-driven approaches for security vetting of Android apps" (2017-2021) NIST-funded project: "Incorporating standards in Digital Forensics curricula" (2017-2019) Research Group: Dr. Roy leads an active research team including current MS students (Prabesh Pathak, Prabesh Poudel) and BS students (Andrew Meyer). Past students include Shiva Bhusal (MS 2018), Dewan Chaulagain (MS 2019), and David Shaw (BS 2020).

Gavrilovska Liljanaمشاهده پروفایل

دانشیار

• Telecommunications
• Mobile Edge Computing (MEC)
• Blockchain Technology
• +۸ مورد دیگر

Liljana Gavrilovska is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of Ss. Cyril and Methodius University of Skopje (UKIM), specializing in the Department of Telecommunications. Her work focuses on advanced telecommunications systems, including 5G/Beyond 5G networks, mobile edge computing (MEC), blockchain applications in healthcare and IoT, cognitive radio networks, and network virtualization. She leads research groups addressing challenges in wireless resource management, energy efficiency, and distributed consensus mechanisms. Her research interests span telecommunications infrastructure , blockchain for healthcare systems , IoT optimization , and network slicing . Recent work includes developing the BloHeS consensus mechanism for blockchain systems and the Shapeshifter framework for MEC latency optimization. She also investigates dynamic spectrum allocation strategies and energy-efficient WuR-based IoT protocols. Publications emphasize practical implementations like the CHEST COPD e-Health platform and the FALCON project for virtualized network resource allocation. While no specific awards are listed, her contributions to open-source solutions like eWALL and SmartWine reflect industry engagement. Advising activities and grants are not explicitly detailed in the provided texts, though her involvement in EU projects like 5G-MEC and cognitive radio initiatives suggests significant collaborative work. Current projects include system design for blockchain-based public healthcare systems and analysis of heterogeneous network performance in LTE and DVB-T coexistence scenarios. She is actively involved in the FEIT Telecommunications Institute, contributing to both academic and applied research in telecommunications engineering.

Nurefşan Sertbaş Bülbülمشاهده پروفایل

پژوهشگر

• Time Sensitive Networks (TSN)
• Software Defined Networking (SDN)
• Network Security
• +۳ مورد دیگر

Dr. Nurefşan Sertbaş Bülbül is a Research Associate/Postdoc at the University of Hamburg's Department of Informatics, part of the Faculty of Mathematics, Informatics and Natural Sciences. She completed her PhD at the University of Hamburg in 2023 under Prof. Mathias Fischer, following two Bachelor's degrees (Electronics and Communication Engineering, Computer Engineering) from Istanbul Technical University and a Master's from Boğaziçi University. Her research focuses on programmable networks, TSN (Time Sensitive Networks), and network security. Key areas include SDN (Software Defined Networking), attack detection, and reinforcement learning applications in networking. Her work addresses critical challenges like DoS attack mitigation in TSN, dynamic path reconfiguration, and P4-based solutions for network security. She has contributed to publications at IEEE GLOBECOM, IFIP Networking, and other conferences. Her research emphasizes practical implementations and resilient network designs, particularly for mission-critical systems. She is part of the Computer Networks research group, previously known as the IT-Security and Security Management group. Dr. Bülbül's recent projects include developing TSN Gatekeeper mechanisms and Transparent TSN solutions for agnostic end-hosts, leveraging SDN and reinforcement learning. Her work bridges theoretical advancements and real-world network challenges, ensuring robust and adaptable network infrastructures.

Pedro M. Ruiz Martinezمشاهده پروفایل

دانشیار

• Wireless Ad Hoc Networks
• Sensor Networks
• Mesh Networks
• +۶ مورد دیگر

Pedro M. Ruiz Martinez is an Associate Professor at the Department of Information and Communications Engineering (DIIC) within the Faculty of Computer Science at the University of Murcia, Spain. He served as Dean of the Faculty from 2013 and previously as Head of DIIC (2011-2012). Ruiz holds a Ph.D. in Telematics (2002) from the University of Murcia and has held research roles including Ramón y Cajal fellowship, visiting positions at ICSI Berkeley, UC Santa Cruz, and King's College London. Ph.D. in Telematics, University of Murcia (2002) Ramón y Cajal Research Fellow Visiting Researcher at ICSI, UC Berkeley Research Associate at UC Santa Cruz Visiting Fellow at King's College London His research focuses on efficient communication protocols for distributed and heterogeneous wireless networks , including VANETs , sensor networks , and mesh networks . Key contributions involve energy-efficient routing , multicast protocols , and gateway load-balancing mechanisms. He has received quality awards for the MARTA project and positive evaluation under Spain's I3 research trajectory program . Recent publications highlight trends in vehicular network optimization , mesh network resource management , and beaconless geographic routing for sensor networks. Awards include the MARTA project quality award and MEC I3 program recognition . Ruiz has advised numerous Ph.D. students including Juan A. Sanchez , Francisco J. Ros , and Rafael Marin , with research spanning VANET security , multicast routing , and energy-efficient protocols . He serves as guest editor for journals including Ad Hoc and Sensor Wireless Networks and International Journal of Smart Home . Professional roles include chairing IEEE INFOCOM 2011, ACM MobiCom 2008, and IEEE MASS 2012. Current teaching includes Wireless Networks (M.Sc.) , Networking Architectures , Mobile Computing , and Advanced Telematic Services at the University of Murcia.

• Control Systems
• Robotics
• Embedded Systems
• +۳ مورد دیگر

Alessandro Papadopoulos is a Professor of Electrical and Computer Engineering at Mälardalen University (MDU) and a QUALIFICA Fellow at the Institute for Software Technology and Software Engineering (ITIS), University of Málaga. He leads the Complex Real-Time Embedded Systems (CORE) research group and serves as Scientific Leader for Applied AI under the AI@MDU initiative. His research focuses on control theory, robotics, and real-time embedded systems, emphasizing interconnected systems and uncertainty management. Education: BSc (2008) and MSc (2010) in Computer Engineering from Politecnico di Milano; PhD (2014) in Information Technology, Systems and Control from the same institution. Postdoctoral fellowships at Lund University’s Department of Automatic Control and Politecnico di Milano’s Dipartimento di Elettronica, Informazione e Bioingegneria. Research interests include control theory applications to computing systems, distributed systems, and AI integration. His work addresses challenges in real-time, embedded, and edge computing. Notable contributions include VR starting grant (2020) and SSF strategic mobility grant (2020), and the Most Influential Paper Award at SEAMS 2025. He has advised PhD students like Anna Friebe and Daniel Bujosa Mateu. Grants and collaborations include projects with ABB industrial automation and leadership roles in conferences (e.g., DEBS 2025 Workshop/Tutorial Chairs). His research group explores autonomous systems, cybersecurity in industrial networks, and cloud manufacturing resilience. Labs/teams: CORE group, collaborating with Prof. Thomas Nolte.

• Data Analysis
• Statistical Modeling
• Demand Modeling
• +۳ مورد دیگر

Lidia Montero Mercade is a Professor at the Polytechnic University of Catalonia (UPC) within the Department of Statistics and Operations Research and affiliated with the Barcelona School of Informatics (FIB). She leads the IMP - Information Modeling and Processing research group and is a core member of inLab FIB. Her academic work spans data science, statistical modeling, demand forecasting, and simulation for sustainable urban mobility. Her research focuses on transport analytics , integrating spatiotemporal sequence analysis gender equality in mobility patterns dynamic origin-destination matrices simulation-optimization techniques smart city policy evaluation ICT data fusion for transport . Recent publications emphasize fragmented mobility, urban sustainability, and data-driven equity assessments. Key trends in her 15 most recent articles include gender-specific travel behavior , activity-based sequence modeling , and smart mobility policy evaluation using simulation tools. Awards highlight social inclusion (Premi UPC) and excellence in transport research (Premi Abertis). She contributes to academic governance as a scientific committee member of conferences like Euro Working Group on Transportation and SEFI.

• Operations Research
• Queueing Systems
• Stochastic Modeling
• +۵ مورد دیگر

Assoc Prof Shuangchi He is affiliated with the Industrial Systems Engineering and Management Department at the National University of Singapore. His research focuses on operations research, stochastic modeling, queueing systems, and their applications in healthcare, transportation, and communications engineering. He holds a PhD from Georgia Institute of Technology (2011). Research interests include queueing design for service systems, diffusion approximations, patient scheduling optimization, and electric vehicle-sharing network analysis. His work bridges theoretical stochastic analysis with practical applications in logistics, healthcare management, and wireless communication systems. Recent publications highlight advancements in randomized routing strategies, on-demand ride-matching algorithms, and inpatient bed assignment models. His contributions to many-server queueing theory and doubly-selective channel estimation demonstrate expertise in both operations research and signal processing domains. Prof He collaborates on topics such as inventory management policies and MIMO channel estimation techniques, reflecting his interdisciplinary approach to solving complex system-level problems.

Thomas Kjær Rasmussenمشاهده پروفایل

دانشیار

• Transportation Science
• Transportation Systems Modelling
• Choice Modeling
• +۱۲ مورد دیگر

Thomas Kjær Rasmussen is an Associate Professor and Head of the Transportation Systems Modelling section at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). His research lies at the intersection of transportation science, behavioral modeling, and urban mobility, with a strong emphasis on sustainable transport systems. His research interests include transportation systems modelling , route choice behavior , cyclist and pedestrian safety , stochastic user equilibrium , and the application of crowdsourced data to model near-crashes and travel behavior. He actively contributes to advancing choice modeling techniques, particularly in integrating behavioral realism into dynamic traffic assignment. The recent publications highlight a consistent focus on improving the behavioral realism of route choice models, addressing route overlap, and leveraging novel data sources such as bicycle airbag helmet sensors. These works span methodological advances in equilibrium modeling and empirical applications in urban networks like Copenhagen. Scientific Awards: The International Choice Modeling Conference (ICMC) award for the Most innovative application of choice modelling (2022) Advising and Grants: Rasmussen is actively involved in supervising multiple PhD projects, serving as main supervisor or co-supervisor in areas such as human energy expenditure in mobility, dynamic traffic assignment, bicyclist behavior, and next-generation route choice models. These projects reflect sustained research funding and institutional support for advanced transportation research at DTU. Labs and Research Teams: He is a key member of a vibrant research group in transportation modeling at DTU, collaborating closely with Prof. Otto Anker Nielsen and other researchers such as Luke C. Duncan, David P. Watling, and Marie Paulsen. The team focuses on behavioral realism in transport models and leverages large-scale datasets for empirical validation.

• Urban Planning
• Landscape Architecture
• Traffic Management
• +۳ مورد دیگر

Y. Chen is a researcher active in urban planning, landscape architecture, and transportation systems. Their work spans urban wilderness perception, ecological park design, and traffic management technologies. Affiliations include collaborative projects between China and the Netherlands. Key Research Areas: Urban ecology, cross-cultural landscape design, traffic network optimization, and microfluidic systems. Recent research (2022-2024) focuses on urban wilderness perception in Hangzhou and design strategies from Dutch practices. Earlier work explores traffic data fusion, 3D cell culture fabrication, and cell migration stress measurement. Articles from 2002-2020 highlight expertise in photonic crystals, transport systems, and environmental monitoring. Participated in a 2025 workshop on residential garden design. No explicit awards or affiliations listed beyond peer-reviewed publications.