جست‌وجوی استاد و پژوهشگر

• Urban Sustainability
• Urban and Regional Planning
• Transportation and Freight Services
• +۴ مورد دیگر

Dr. Ahmadreza Faghih Imani is a Teaching Fellow in Urban Sustainability at the Centre for Environmental Policy, part of the Faculty of Natural Sciences at Imperial College London. He also serves as co-convenor of the Urban Sustainable Environments (USE) option for the MSc in Environmental Technology. Previously, he was a Research Associate at the Centre for Transport Studies (Imperial College London) and held an NSERC Postdoctoral Fellowship at the University of Toronto. He earned his PhD from McGill University in 2017, recognized with the Benjamin H. Stevens Graduate Fellowship. His research focuses on urban sustainability, exploring how built environments, transport infrastructure, and advanced modeling techniques can enhance environmental and social sustainability. Key interests include transportation planning, energy consumption modeling, and policy analysis with over 30 publications in top-tier journals. He has contributed to industry/government projects (9 technical reports), volunteered with TRB's Bicycle Transportation Committee, and reviewed for academic journals. His work bridges disciplines such as urban planning, civil engineering, and applied mathematics. Recent efforts emphasize health integration into mobility policies, smart energy systems, and innovative data collection methods (e.g., smartphone apps). He collaborates widely with over 10 faculty members and 20 researchers globally. Notable achievements include modeling air pollution exposure from transit policies and analyzing cycling infrastructure impacts in cities like Toronto and Montreal. His research addresses urgent urban challenges through interdisciplinary frameworks and policy-relevant insights.

Samuel Thibaultمشاهده پروفایل

استاد

• Parallel Computing
• High Performance Computing
• Task-Based Runtime Systems
• +۳ مورد دیگر

Samuel Thibault is a Professor at University of Bordeaux, affiliated with Laboratoire Bordelais de Recherche en Informatique (LaBRI) and Inria Bordeaux -- Sud-Ouest. He is a member of the SATANAS team at LaBRI (theme: High Performance Runtime Systems for Parallel Architectures) and the STORM research team at Inria Bordeaux (previously RunTime). His work bridges academic research and practical implementation of high-performance computing systems. Thibault's research focuses on task-based runtime systems, particularly StarPU, for heterogeneous and parallel computing architectures. His work addresses critical challenges in scheduling algorithms, memory management under constraints, data locality optimization, and performance modeling for complex NUMA architectures. He has made significant contributions to the field of parallel computing through the development and analysis of runtime systems that efficiently manage tasks across diverse hardware resources including CPUs, GPUs, and other accelerators. His research has practical applications in scientific computing, deep learning inference, and large-scale simulations requiring extreme computing power. His recent publication trends show a strong emphasis on optimizing task-based runtime systems for heterogeneous architectures with particular attention to memory constraints and data locality. There's a clear progression toward applying these techniques to deep learning inference workloads, as evidenced by his StarONNX project. His work consistently addresses the challenge of balancing throughput and latency in complex computing environments, with increasing focus on recursive task graphs and dynamic adaptation strategies. Thibault is actively involved in European research initiatives including TEXTAROSSA (focusing on exascale technologies) and EXA2PRO (high development productivity on heterogeneous systems). His work has been published consistently in top-tier conferences and journals in parallel and distributed computing. As part of the STORM team at Inria Bordeaux, Thibault contributes to advancing the state of the art in runtime systems for high-performance computing. His team's work on StarPU has become a reference implementation in the field, enabling researchers and practitioners to develop applications that can efficiently utilize heterogeneous computing resources without needing to manage the complexity of different hardware architectures directly.

• Computer Architecture
• Programming Models
• Parallel Computing
• +۵ مورد دیگر

Marc Gonzalez Tallada is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). He is a member of the MGT Research Group, focusing on Programming Models and high-performance computing systems. His research interests lie in the domain of computer architecture and programming models, with a strong emphasis on parallel and distributed computing, performance optimization, and system-level software. His work contributes to the design and implementation of efficient programming models that exploit modern parallel architectures. The recent publications (2010–2024) reflect a consistent focus on programming models, particularly in the context of high-performance computing. Key themes include task-based programming, runtime systems, compiler optimization, memory management, and performance analysis. The research spans computer architecture, system software, and compiler design, demonstrating a multidisciplinary approach to solving challenges in parallel computing. Scientific Awards and Recognitions: Premi o reconeixement Advising and Grants: While specific student names are not listed, his involvement in competitive R&D+i projects indicates active participation in funded research. These projects suggest leadership or collaboration in grant-supported initiatives related to programming models and computer systems. His role in innovation and research projects highlights contributions to both academic and applied domains. Labs and Research Teams: He is a core member of the MGT (Programming Models) research group at UPC, which focuses on advancing the state-of-the-art in programming models for parallel and distributed systems.

• Computer Architecture
• High-Performance Computing
• Distributed Systems
• +۱۲ مورد دیگر

Yolanda Becerra Fontal is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). She is actively involved in research projects and collaborations, notably with the Barcelona Supercomputing Center, and is a member of prominent research groups such as the High Performance Computing Group (CAP) and CROMAI (Computing Resources Orchestration and Management for AI). Research Interests: Her research spans a broad spectrum of computer systems, with a consistent focus on performance, efficiency, and scalability. Key areas include Computer Architecture , High-Performance Computing (HPC) , Distributed and Cloud Systems , Resource and Energy Management in virtualized environments, and Data-Intensive Computing . More recently, her work has centered on innovative time-series database systems and data management for edge and cloud analytics. Publication Trends: Her recent scholarly output (2020-2022) shows a strong emphasis on time-series data management, proposing novel database architectures like NagareDB and strategies for polyglot persistence. Earlier work (2009-2013) was pivotal in MapReduce workload management, energy accounting for virtualized systems, and optical data center networks, demonstrating a long-standing contribution to foundational distributed computing challenges. Scientific Contributions: Her work has been published in top-tier journals and conferences such as Future Generation Computer Systems , IEEE Transactions , and Nucleic Acids Research . She has also contributed to significant competitive R&D projects and holds patents related to data flow management and distributed indexing. Advising and Grants: Dr. Becerra Fontal has served as a thesis advisor for doctoral students. Her research has been funded through competitive grants from national and regional programs, including Spanish State Research Plans (Plan Estatal de Investigación) and Catalonia's RIS3CAT strategy, supporting projects on high-performance computing and data management. Research Groups and Labs: She is a core member of the CAP - High Performance Computing Group and the CROMAI - Computing Resources Orchestration and Management for AI group at UPC. Her work is closely associated with the Barcelona Supercomputing Center (BSC) , one of Europe's leading supercomputing facilities, indicating access to advanced computational infrastructure.

• Sustainable Logistics
• Operations Research
• Disaster and Crisis Management
• +۹ مورد دیگر

Patrick Hirsch is an Associate Professor at the Institute of Production and Logistics , part of the Department of Economics and Social Sciences at the University of Natural Resources and Life Sciences, Vienna . He serves as Head of the Institute of Production and Logistics since 2025 and has coordinated doctoral programs in Social and Economic Sciences since 2017. His research focuses on Sustainable Logistics, Operations Research, and Disaster Management , with specializations in Health Care Logistics Humanitarian Supply Chains Urban Mobility Food Security Cybersecurity in Logistics Green Logistics Recent publications highlight his work in 2025-2023 on: Cloud Resource Optimization Disaster Response Logistics Container Terminal Storage Cyberattack Resilience Home Health Care Scheduling His team also explores deep learning for cargo inspection and hybrid simulation modeling for pandemic and climate-related disruptions. Scientific awards include: BOKU Best Paper Award (2024) ITOR runner-up Best Paper (2023) Raiffeisen Science Award (2014) Multiple Early-Career Prizes Dr. Hirsch leads 13 active research projects funded by the Austrian Research Promotion Agency and Oesterreichische Nationalbank , including initiatives on food supply resilience , internet outage cascading effects , and blockchain in logistics security . He supervises collaborative theses and contributes to policy development through institutions like the ITA - Institut für Technikfolgen-Abschätzung .

Marika Apostolova Trpkovskaمشاهده پروفایل

دانشیار

• Cybersecurity
• Blockchain Technology
• Industrial Internet of Things (IIoT)
• +۴ مورد دیگر

Marika Apostolova Trpkovska is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, Macedonia). Her academic work spans cybersecurity, blockchain technology, and educational technology with a focus on Industrial IoT security, semantic web applications, and digital learning systems. PhD in Computer Science (Specialty: e-Medical Services based on Semantic Web) MSc in Software Development and Applications BSc in Computer Sciences Her research covers cybersecurity frameworks for Industrial IoT, blockchain applications in public administration, and educational technology innovations including VR/AR integration and gamification. She has published extensively in international conferences and journals on these topics, with recent works focusing on machine learning-enhanced security protocols and decentralized real estate management systems. Current publications (2023-2024) highlight her expertise in IIoT security standards, smart contract development using Ethereum/IPFS, and cybersecurity threat modeling. Earlier works examine e-learning systems implementation, gender disparities in CS research, and real-time operating system validation. She serves as part-time academic staff member while maintaining technical roles in learning management system administration (LIBRI, ANGEL) and teaching responsibilities across software engineering, algorithms, and programming disciplines.

Sangyoung Parkمشاهده پروفایل

استادیار

• Smart Mobility Systems
• Electric Vehicle Battery Management
• Energy Consumption Optimization
• +۳ مورد دیگر

Sangyoung Park is an Assistant Professor of Smart Mobility Systems at the Faculty of Mechanical Engineering and Transport Systems, Technical University of Berlin, and is co-affiliated with the Einstein Center for Digital Future. His research focuses on two main areas: enhancing vehicle safety through digitalization and connectivity, and advancing the electrification of the transport sector with emphasis on electric vehicle battery systems design and management. He leads the Chair of Smart Mobility Systems at TU Berlin, where his team investigates how vehicle connectivity can improve energy efficiency, traffic flow, and safety in autonomous vehicle systems. Dr. Park completed his PhD in Electrical Engineering and Computer Science at Seoul National University in Korea, where he focused on energy management techniques for hybrid energy storage systems in electric vehicles. Before joining TU Berlin in 2018, he conducted postdoctoral research at the Technical University of Munich, working on energy management for smartphones in collaboration with Google and studying battery aging processes. His research interests span smart mobility systems, electric vehicle battery management, energy consumption optimization, vehicle connectivity, and autonomous driving systems. Park's work bridges the gap between design engineers and software engineers, investigating how different energy storage components (fuel cells, supercapacitors, lithium-ion batteries) should be interconnected and managed together for maximum efficiency. His research also addresses the design of charging infrastructure for electric vehicles. Analysis of Dr. Park's recent publications reveals a strong focus on digital twin technology for teleoperated driving, battery management systems for electric vehicles, and vehicle connectivity for improved safety and efficiency. His research increasingly integrates cybersecurity aspects of connected vehicles and explores novel approaches to extend battery lifespan through advanced cell balancing techniques. The interdisciplinary nature of his work connects electrical engineering, computer science, transportation systems, and urban infrastructure planning. Dr. Park supervises multiple doctoral students, including Philipp Kremer, Ongun Türkçüoglu, Kil Young Lee, Maria Claudia Miguel de Priego, Muzaffer Citir, Andrea Reindl, Subhendu Bhadra, and Hueseyin Türkyilmaz. His research is supported by various funding sources including the ECDF grant, DAAD projects (ide3a), and government scholarships. He collaborates with institutions including OTH Regensburg and Siemens Mobility. His laboratory, the Smart Mobility Systems group, focuses on developing system-level approaches for measuring, analyzing, and balancing energy consumption in battery-powered mobile systems. The team investigates how direct communication among autonomous vehicles can enable control scenarios that improve energy efficiency, traffic flow, and safety beyond what human drivers or isolated autonomous vehicles can achieve.

Yixuan Zouمشاهده پروفایل

مدرس

• Artificial Intelligence
• Wireless Communications
• Machine Learning
• +۷ مورد دیگر

Dr. Yixuan Zou is a Lecturer in Digital Signal Processing at the School of Electronic Engineering and Computer Science, Queen Mary University of London (QMUL). She co-teaches QMUL's Joint Programme with Beijing University of Posts and Telecommunications (BUPT). B.Sc. in Mathematics M.Sc. from Imperial College London Ph.D. in Computer Science, QMUL (2022) Her research focuses on applying artificial intelligence to wireless communications, specifically non-orthogonal multiple access (NOMA), IRSs/RISs-aided systems, and resource allocation for 6G networks. She integrates machine learning, deep reinforcement learning, and meta-learning techniques to optimize network performance. Recent publications highlight advancements in secure IoT node identification, UAV-assisted RIS-NOMA networks, STAR-RIS beamforming, and wideband near-field communication optimization. She contributes to IEEE conferences as a Technical Program Committee member and session chair. Academic Fellow at Digital Environment Research Institute (DERI) Dr. Zou supervises PhD students researching next-generation multiple access, AI-driven near-field communication, and human action recognition, while also serving as a reviewer for top-tier journals like IEEE TWC and IoT-J.

• Haptic Communication
• Teleoperation Systems
• Digital Twin Technology
• +۳ مورد دیگر

Siwen Liu is a Scientific Staff member and Ph.D. candidate at the Chair of Media Technology (Lehrstuhl für Medientechnik) within the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM). She joined TUM in December 2021 after completing her Master's degree in China. Her research focuses on Digital Twin based MMT control schemes, multi-dimensional parameters-based performance optimization of human-in-the-loop haptic teleoperation systems, and resource scheduling in teleoperation networks. Her work intersects robotics, haptics, and computer vision with applications in teleoperation systems. Dr. Liu's recent publications demonstrate her expertise in developing advanced teleoperation frameworks that leverage Digital Twin technology to overcome time-delay challenges. Her research shows a clear progression from foundational teleoperation concepts to sophisticated hybrid control strategies that incorporate human perception metrics. She actively supervises student theses, including research on DT-based Human-robot Teleoperation with Haptic Codecs Standard, indicating her role in mentoring the next generation of robotics researchers. Her work aligns with major research initiatives at TUM including the Centre for Tactile Internet with Human-in-the-Loop (CeTI) and DFG: Teleoperation over 5G projects.

Lena Silbermayrمشاهده پروفایل

دانشیار

• Inventory Management
• Sustainable Supply Chain Management
• Behavioral Operations Management
• +۳ مورد دیگر

Lena Silbermayr is an Associate Professor at the Department of Information Systems and Operations Management, Vienna University of Economics and Business (WU). She leads research at the Institute for Production Management, focusing on inventory management, sustainable supply chains, and behavioral operations. Her work bridges theoretical and applied aspects of supply chain coordination through contracts and risk modeling. Diploma in Business Mathematics, Vienna University of Technology PhD in Logistics and Operations Management, University of Vienna Habilitation in Business Administration, WU Vienna Her research spans inventory management (including perishables and transshipment), sustainable supply chain design (with recycled materials and environmental constraints), and behavioral operations (exploring decision-maker psychology in decentralized systems). She also investigates non-cooperative game theory and stochastic optimization for supply chain coordination. Recent publications address bullwhip effect mitigation via horizontal information sharing, Mean-CVaR risk modeling , and humanitarian procurement-fundraising interplay . Her work integrates mathematical rigor with practical applications in manufacturing and retail. Lena leads funded projects like CREATE_AT (circular timber supply chains, 2024-2027) and FOODIS (cross-border food chain sustainability, 2023-2026). Current roles include researcher in the Production Planning MAGNA Heavy Stamping project and project management for sustainability reporting initiatives. She teaches Operations and Supply Chain Management courses at WU, with office hours by appointment. Her team at the Institute for Production Management includes collaborators like Martin Waitz, Emel Arikan Fichtinger, and Werner Jammernegg.

• Decision Support Systems
• Energy Management
• Sustainable Energy Planning
• +۸ مورد دیگر

Dr. Vangelis Marinakis is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). His academic background includes an Electrical and Computer Engineering degree and a PhD in Decision Support Systems for Sustainable Energy Planning from NTUA. PhD in Decision Support Systems for Sustainable Energy Planning (NTUA) Electrical and Computer Engineer (NTUA) His research focuses on designing methodologies for intelligent energy management across Smart Homes, Buildings, Cities, and Districts, leveraging technologies like IoT, AI, and Big Data. He has contributed to over 25 European (Horizon Europe, H2020) and national projects, with more than 50 journal publications and book chapters. Key research areas include Decision Support Systems , Energy Efficiency , and Renewable Energy Integration . He has led research in AI-driven energy forecasting, federated learning for privacy-preserving data models, and blockchain applications in energy markets. His work explores the intersection of Smart Grids , Building Informatics , and Climate Resilience . Dr. Marinakis has developed frameworks for: Decarbonization-as-a-Service in building renovations Scalable Big Data architectures for smart buildings Multi-criteria optimization of EV charging stations Explainable AI in energy decision-making Climate resilience assessment for urban housing

• Mobile Communications (5G/6G Design)
• Industrial Communication Solutions
• Wireless Automation
• +۳ مورد دیگر

Prof. Hans Dieter Schotten is a leading academic in mobile and industrial communications, serving as Professor of Radio Communication and Navigation at Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau and Scientific Director/Head of the Intelligent Networks department at the German Research Center for Artificial Intelligence (DFKI) since 2007. He coordinates Germany's 6G Platform and leads the Open6GHub research hub. Education: Electrical Engineering (RWTH Aachen University, 1984–1990) Doctorate: Doctor of Engineering (RWTH Aachen University, 1997) His research focuses on: Next-generation 5G/6G network design Security in Industry 4.0 systems Wireless automation for automotive/railway applications AI-driven network trustworthiness (e.g., IGEL-AI project) Real-time 6G healthcare solutions (e.g., 6G-Health project) Asset Administration Shells for industrial interoperability Recent publications emphasize cell-free massive MIMO optimization and impatient queuing strategies in 6G contexts. He advises international companies, courts, and organizations on technical standards and serves on advisory boards for institutions like IHP - Leibniz Institute for Innovative Microelectronics.

Natalia Kliewerمشاهده پروفایل

استاد

• Optimization in transport and traffic
• Robust planning
• Delay management
• +۱۰ مورد دیگر

Prof. Dr. Natalia Kliewer is a Professor of Business Informatics at the Free University of Berlin, where she leads the Professorship for Business Information Systems within the Department of Business Informatics in the Faculty of Economics and Business Administration. She has been serving in this position since 2009, following a Junior Professorship at the University of Paderborn from 2005-2009. Free University of Berlin (2009-present): Professor of Business Informatics University of Paderborn (2005-2009): Junior Professorship for Business Informatics and Operations Research Doctorate from University of Paderborn (2005) Studies in Information Systems at Kirgisischen Technischen Universität and Business Informatics at Münster and Paderborn (until 2000) Prof. Kliewer's research focuses on optimization in transport and traffic systems, with particular expertise in robust planning approaches, delay management, and airline revenue management. Her work bridges business informatics with practical transportation challenges, developing algorithms and decision support systems that enhance efficiency in public and air transportation networks. She has made significant contributions to integrated vehicle and crew scheduling, timetabling, and resource deployment planning that can withstand disruptions and uncertainties in real-world operations. Her recent publications demonstrate a strong trend toward addressing sustainability challenges in transportation, particularly through the integration of e-mobility solutions in public transport systems. Her research increasingly combines traditional operations research methods with data-driven approaches, including machine learning for travel time prediction and robust schedule generation. The work spans multiple transportation modes including buses, trains, and aircraft, with a consistent focus on developing integrated optimization approaches that consider multiple planning stages simultaneously. Member of the Advisory Board of the German Society for Operations Research (since 2013) Mentored students receiving prestigious awards including the GOR Bachelor Prize (Felix Becker) Prof. Kliewer has supervised numerous doctoral students including Dr. Lucas Mertens and Dr. Max Gerlach, and has advised multiple bachelor's and master's theses. Her research is supported by significant grants from the German Research Foundation (DFG), including multiple projects on robust efficiency in resource deployment plans for air transport and public transportation. She leads the BERLIN MOBILITY DATA HUB initiative and has secured funding for projects on e-mobility infrastructure planning and smart mobility solutions. She leads a research team that includes doctoral students, postdoctoral researchers, and student assistants working on various aspects of transportation optimization. Her group collaborates closely with transportation operators and industry partners to ensure practical relevance of their research. Current projects focus on AI-enhanced hybrid optimization for personnel scheduling, robust planning in public transport, and blockchain applications for secure documentation in aviation maintenance.

Francesco Liberatiمشاهده پروفایل

دانشیار

• Control theory
• Model predictive control
• Cyber-physical systems
• +۱ مورد دیگر

Francesco Liberati is an Associate Professor in Automatic Control at Sapienza University of Rome, Department of Computer, Control and Management Engineering (DIAG). His research focuses on cyber-physical systems, model predictive control (MPC), and hybrid MPC-deep learning algorithms with applications to power systems, traffic control, and task scheduling. PhD in Systems Engineering from Sapienza University (2015) Assistant Professor (RTD-B) at Sapienza University (2021-2024) Assistant Professor (RTD-A) at eCampus University (2015-2017) Liberati’s work combines theoretical advancements in control theory with real-world implementations in smart grids and transportation systems. He has pioneered approaches integrating MPC with reinforcement learning for large-scale optimization problems, particularly in electric vehicle (EV) charging and grid reconfiguration. His recent publications emphasize: Stochastic and economic MPC for renewable energy storage Decentralized control algorithms for EV charging Cyber-physical security in microgrids and smart infrastructure Hybrid AI-control solutions for traffic and industrial systems Scientific recognition includes: 2021 Best Paper Award, IEEE World AI IoT Congress (AIIoT) 2021 Networked Systems Best Paper Award He serves as Associate Editor for Advanced Control for Applications (Wiley) and on the Editorial Board of Smart Cities (MDPI). His applied research spans European Commission H2020 projects and collaborations with industry partners in energy and transportation sectors.

George Vairaktarakisمشاهده پروفایل

استاد

• Project Management
• Production Chain Coordination
• Subcontracting and Outsourcing
• +۷ مورد دیگر

George Vairaktarakis is a Professor at the Department of Operations, Weatherhead School of Management, Case Western Reserve University. His research focuses on subcontracting, production chain coordination, and project management, with impactful findings reducing production costs by 30% while improving service efficiency. He holds the William E. Umstattd Professorship in Industrial Economics and serves as Director of the Master of Science in Management - Operations Research and Supply Chain Management program. Education: PhD in Operations (University of Florida, 1994) MSc in Industrial Engineering (University of Florida, 1992) MSc in Applied Mathematics (University of South Carolina, 1990) BS in Applied Mathematics (University of Patras, 1988) Vairaktarakis investigates time/cost-sensitive project management, third-party logistics, and workforce planning using mathematical models like integer programming and game theory. His work addresses decentralized production coordination, contract design for subcontracting, and resource flexibility in manufacturing systems. His publications span top journals including Management Science, Operations Research, and Naval Research Logistics. Key research trends include optimization of outsourced operations, game-theoretic analysis of supply chain collaboration, and robust scheduling methodologies. His editorial roles include Senior Editor at Production & Operations Management and Associate Editor at Naval Research Logistics. Awards: William E. Umstattd Professorship (2014), Alcoa Teaching Excellence Award (2013) Teaching: Developed Lean Operations and project management courses for MBA/executive programs globally Service: Held leadership roles in Faculty Council, Academic Integrity Office, and editorial boards