جست‌وجوی استاد و پژوهشگر

• High Performance Computing (HPC)
• Cloud Computing
• Interconnection Networks
• +۳ مورد دیگر

Dr. Ernst Gunnar Gran is an Affiliated Researcher at the Simula Research Laboratory , specializing in the Department of High Performance Computing . With a career spanning over a decade, his research focuses on optimizing network performance in large-scale computing environments. PhD in Congestion Management in Lossless Interconnection Networks (2008) Co-developer of the NorNet Core multi-homed research testbed Research Focus Gran’s work addresses critical challenges in: InfiniBand hardware optimization and congestion control Self-adaptive networking for HPC-cloud integration Resource management in multi-tenant clusters Efficient routing algorithms for fat-tree architectures Real-time anomaly detection in time-series data Edge-cloud ecosystem performance modeling Publication Trends His recent research (2020-2022) emphasizes: Distributed traffic prediction using LSTM customization Lightweight anomaly detection frameworks Integration of mobile edge computing with multi-cloud systems Prior work (2015-2018) established foundational advancements in: Fat-tree reconfiguration algorithms Virtualized HPC network architectures Fault-tolerant routing strategies for complex topologies SR-IOV vSwitch implementations Technical Contributions Developed patented network reconfiguration systems Created dynamic cloud architectures with SA query caching Advanced partition-aware routing techniques Optimized load-balancing mechanisms for HPC environments

Sayan Banerjeeمشاهده پروفایل

دانشیار

• Probability Theory
• Stochastic Processes
• Interacting Particle Systems
• +۹ مورد دیگر

Sayan Banerjee is an Associate Professor in the Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill, within the College of Arts and Sciences. His research lies at the intersection of probability theory, stochastic processes, and network science, with applications in operations research and statistical physics. Research Interests: His work focuses on interacting particle systems, ergodicity of diffusions, stochastic networks, probabilistic couplings, and dynamic random graphs. He also investigates random walks in random environments, random matrices, and network sampling and ranking algorithms. These areas reflect a deep engagement with both theoretical probability and its real-world applications in complex systems. Recent Publication Trends: His recent articles (2023–2025) reveal a strong focus on the analysis of infinite particle systems (e.g., Atlas models), dynamic network evolution under various delay regimes, convergence properties of machine learning algorithms like Stein Variational Gradient Descent, and structural properties of random graphs. The keywords span probability, operations research, network science, and computational statistics, indicating interdisciplinary impact. Subfields include rank-based diffusions, local weak convergence, load balancing, flocking dynamics, and network centrality. Scientific Awards: NSF CAREER Award (DMS-2141621) Grants and Advising: He is the principal investigator on the NSF CAREER award DMS-2141621 and a co-PI on the NSF RTG grant DMS-2134107, supporting research training in probability and stochastic processes. While no formal list of students is provided, his role as a Ph.D.-granting faculty member in a top statistics department implies active graduate student mentorship. His prior postdoctoral fellowship at the University of Warwick under Prof. Wilfrid Kendall highlights strong international collaboration. Laboratories and Research Teams: Though no named lab is mentioned, his extensive collaborative network—including researchers like A. Budhiraja, S. Bhamidi, P. Dey, and M. Olvera-Cravioto—indicates leadership in a vibrant research group focused on stochastic modeling and network analysis at UNC.

• Transport Infrastructure
• Road and Railway Engineering
• Geotechnical Engineering
• +۳ مورد دیگر

Inge Hoff is a Professor in the Department of Civil and Environmental Engineering at NTNU. Her research focuses on transport infrastructure, particularly road and railway construction, pavement materials, and frost protection. She leads active PhD students including Lisa Hanasvik, Arman Hamidi, Clara Weber, and Shoiab Ahmad. Her work spans laboratory testing of road materials, non-destructive surveys using ground-penetrating radar, and the mechanical properties of granular materials. Recent studies include stress distribution analysis in unbound layers and asphalt aging models under Norwegian climate conditions. Hoff has published extensively in journals like Transportation Geotechnics and Materials and Structures. Her teaching includes courses on pavement design (TBA 4204/BYGT1102) and advanced infrastructure topics. She collaborates on Nordic railway maintenance practices and EU transport infrastructure management strategies. Her lab focuses on sustainable material use, such as recycled aggregates in asphalt, and innovative technologies like self-healing asphalt mixtures. Ongoing projects address climate change impacts on road design and frost protection in temperate zones.

Boris Resnikمشاهده پروفایل

استاد

• Geodetic Monitoring
• Structural Health Assessment
• Deformation Analysis
• +۳ مورد دیگر

Prof. Dr.-Ing. Boris Resnik is a full professor at Berlin University of Technology (BHT Berlin) in the Department of Civil Engineering and Geoinformation. Born in 1960 in Leningrad, he holds a diploma in Geodesy from the Leningrad Mining Institute (1982) and a doctorate from VNIMI (1990). His academic career spans over two decades at BHT Berlin, with prior positions at Rostock University and Brandenburg Technical University Cottbus. His research focuses on: Geodetic monitoring and deformation analysis Structural health assessment of wind turbine foundations AI and neural network applications in structural monitoring Sensor technologies (MEMS, accelerometers, inclinometers) Automated early warning systems for infrastructure He leads significant projects including the IFAF-funded WEsaFE (2014-2016) on wind turbine foundation monitoring and the DAAD Eastern Partnerships initiative (2018-2023) with Central Asian universities. Publication analysis shows a strong evolution toward AI-driven methodologies since 2019, with recent works focusing on neural networks for real-time structural monitoring, vehicle classification, and vibration analysis. His 2023-2025 publications demonstrate increasing integration of drone-based thermography and advanced sensor networks. No scientific awards are documented in the provided materials. Contact is maintained through resnik@bht-berlin.de, with office at Building D (Civil Engineering) Room D 422.

Dan Rubensteinمشاهده پروفایل

دانشیار

• Network Technologies
• Wireless Networks
• Quantum Computing
• +۷ مورد دیگر

Dan Rubenstein is an Associate Professor in the Department of Computer Science at Columbia University . He is affiliated with multiple research centers including the Data, Media and Society , Foundations of Data Science , and Smart Cities initiatives. His research spans network technologies, performance analysis, and emerging applications in quantum computing and wireless systems. Education: Ph.D. in Computer Science from University of Massachusetts, Amherst Rubenstein's work focuses on optimizing network performance, wireless communication protocols, and novel applications in serverless computing and peer-to-peer systems. Recent publications highlight trends in quantum network verification , Bloom filter error modeling , and zero-rating policy analysis . NSF CAREER Award IBM Faculty Award ACM SIGMETRICS, IEEE CNP 2003, and ACM CoNext paper awards He serves as Editor-in-Chief of IEEE/ACM Transactions on Networking and chaired the ACM Sigmetrics 2011 conference. His collaborations extend to networked sensor systems, content delivery, and energy-harvesting architectures.

• Algorithms
• Network Applications
• Parallel Algorithms
• +۸ مورد دیگر

Tom Leighton is a Professor at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Mathematics and the Computer Science and Artificial Intelligence Laboratory (CSAIL). He co-founded Akamai Technologies and currently serves as its CEO while on leave from MIT. His research spans algorithm design, network applications, parallel computing, distributed systems, communication protocols, combinatorial optimization, probabilistic methods, VLSI computation, graph theory, and content delivery networks. Publication Trends : His work focuses on network algorithms, graph theory, and distributed systems, with recent papers addressing oblivious routing, universal TSP bounds, multicommodity flow analysis, load balancing, and content delivery challenges. Awards : Marconi Prize (2018) ACM Fellow (2018) National Inventors Hall of Fame (2017) American Mathematical Society Fellow (2012) U.S. National Academy of Sciences (2008) ACM-SIGACT Distinguished Service Prize (2006) National Academy of Engineering (2004) American Academy of Arts and Sciences Fellow (2003) Princeton University Gordon Wu Distinguished Lecturer (2002) MIT Entrepreneurship Award (2002) He has served on numerous editorial boards, including Journal of the ACM , SIAM Journal on Computing , and Algorithmica , and has contributed to STEM education initiatives through the Akamai Foundation and related programs.

• Transport Planning
• Urban Mobility
• Human Behavior Modeling
• +۱۳ مورد دیگر

Univ.Prof. Dr. Yusak Susilo is a Professor at the Institute of Transport Engineering , University of Natural Resources and Life Sciences, Vienna (BOKU). He holds a Doctor of Engineering from Kyoto University and has previously served as Full Professor at KTH Royal Institute of Technology, Senior Lecturer at University of the West of England, and Visiting Professor in Indonesia, Malta, and the Netherlands. His research focuses on transport and urban planning, human behavior modeling, agent-based simulations, and equity in mobility systems. Education : Doctor of Engineering (Kyoto University, Japan, 2005); Master of Engineering in Transportation Engineering (Bandung Institute of Technology, Indonesia, 2000); Bachelor of Engineering (Maranatha Christian University, Indonesia, 1998). His work explores decision-making processes, adaptation to technological innovations, time-use dynamics, and system-level impacts of decarbonization. He leads projects like Shaping E-Roads Efficiency for Freight Automation and UNLOCK15 - Transitionspfade zur 15-Minuten-Stadt . Articles highlight his contributions to understanding automated bus acceptance, micro-mobility, demand-responsive transport, and health impacts of mobility patterns. Scientific awards include the Ars Docendi Sonderwürdigung (2024), Smart Transportation Alliance Innovation Award (2019), and multiple Eric Pas Dissertation competition honors. He has supervised 14 theses, including PhD and Master’s students analyzing SuperApp adoption, micromobility impacts, and automated bus deployment. Prof. Susilo’s projects span sustainable urban development, mobility hubs, and virtual reality applications for transport research. He contributes to editorial boards of journals like Transportation Research Part A and Journal of Transport & Health , and serves as Vice President of the International Association of Travel Behavior Research (IATBR).

Yi Jiangمشاهده پروفایل

استاد

• Optimization methods
• Stochastic process
• Bridge management systems
• +۸ مورد دیگر

Yi Jiang, PhD, PE, is a Professor at the School of Construction Management at Purdue University, with a career spanning over two decades. His work focuses on transportation infrastructure , particularly in pavement management systems , bridge condition modeling , and highway safety analysis . He has led numerous research projects with agencies like INDOT and FHWA, including grants for friction test programs and energy-efficient roadway lighting . Purdue University: PhD in Civil Engineering Purdue University: MSCE in Civil Engineering University of Michigan: MS in Civil Engineering Tongji University: BSCE in Civil Engineering His research spans optimization methods , stochastic processes , and GPS/GIS applications , with recent emphasis on machine learning for crash prediction and friction performance modeling . Articles highlight collaborations with institutions in China, Canada, and the U.S., addressing challenges in truck platooning and bituminous material evaluation . Awards include the 2023 Thomas C. Keefer Medal and multiple AASHTO Sweet Sixteen Awards . Grants totaling over $1.5M support his work on deflectometer calibration , chip seal QA , and work zone user cost analysis .

• Sustainable Orchestration in Edge-Cloud Environments
• Multi-Cloud Workload Distribution
• Large Language Models (LLMs) Deployment
• +۳ مورد دیگر

Dr. Hadi Tabatabaee Malazi is an Assistant Professor at the University of College Dublin (UCD), leading the Sustainable Orchestration in Computing Continuum (SOC² Lab). He holds an Orcid identifier (0000-0002-2960-6896) and has extensive academic experience across institutions like Maynooth University, Shahid Beheshti University, and Trinity College Dublin. His research focuses on sustainable computing, edge-cloud continuum orchestration, AI/ML deployment (e.g., LLMs), and energy efficiency. He is a Senior Member of IEEE, serves as an Associate Editor for IEEE Access, and chairs the COST Action CA22151 (CYPHER) on decarbonizing energy-intensive industries. Education: PhD (2012): University of Isfahan (Computer Engineering) MSc (prior to 2012): University of Isfahan Research Visit (2010-2011): Delft University of Technology Research Interests: Sustainable edge-cloud systems, AI-driven workload optimization, carbon-aware resource management, distributed LLMs, and IoT interoperability. Key contributions include over 20 journal articles in IEEE, Elsevier, and Springer venues, with topics ranging from vehicular network security to smart city event processing. Professional Activities: Committee member of COST Action CA22151, IEEE Access Associate Editor, and Technical Program Committee member for IEEE conferences. Authored certifications on research leadership and research integrity from Epigeum. Labs/Teams: SOC² Lab (UCD), leading projects on edge-cloud sustainability and AI application deployment.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۳ مورد دیگر

Aditya Raikwar is an Instructor in the Department of Computer Information Systems at Colorado State University's College of Business. His research focuses on human-computer interaction, particularly in augmented and virtual reality environments. He has pioneered studies on AR cue reliability, ML-driven visual search performance, and immersive 3D notification systems for practical applications like culinary training. Augmented Reality Interface Design Human-AI Collaboration Immersive Technology Evaluation Educational Simulation Usability Engineering His publications demonstrate consistent exploration of cognitive load reduction, sensory feedback optimization, and task efficiency in mixed reality contexts. While no formal awards or advisees are documented in this profile, his work contributes to advancing AR/VR applications in both professional and educational settings.

Steffen Riedlمشاهده پروفایل

استاد

• Road Construction
• Asphalt Pavement Maintenance
• Cold Recycling Methods
• +۳ مورد دیگر

Steffen Riedl is a Professor of Road Construction at the University of Applied Sciences Erfurt , specializing in civil engineering and transport infrastructure. He serves as Vice-President for Academic Affairs and a member of FH Erfurt's Senate. Research focuses on asphalt maintenance, cold recycling, and pavement diagnostics Teaches bachelor’s courses on road engineering fundamentals Active in standardization committees including FGSV Education: Diplom degree in Civil Engineering (2000, TU Darmstadt) Doctorate in Engineering (Dr.-Ing., 2006) His work emphasizes load-bearing capacity analysis using Falling Weight Deflectometer (FWD) technology and thin-layer asphalt construction for sustainable infrastructure. Recent publications examine cold recycling techniques and pavement preservation. Professional Affiliations: Chair of Gütegemeinschaft AKB (Cold-Mix Asphalt Quality Association) Member of Forschungsgesellschaft für Straßen- und Verkehrswesen (FGSV) Active in Thuringian and Hessian road engineering associations As a certified expert for asphalt construction methods, he contributes to technical standards and has led multiple research projects on pavement longevity and maintenance technologies.

• Facilities Management
• Sustainable Construction
• Digital Twins
• +۴ مورد دیگر

Professor Michael Pitt serves as the Director of Teaching and Learning at The Bartlett School of Sustainable Construction, University College London (UCL) . He is also a Professor of Facilities Management and has held academic positions at Liverpool John Moores University and Heriot Watt University. With over 200 publications, his work bridges academic research and industry applications in facilities management (FM) and sustainable construction. Academic Roles: Professor of Facilities Management (UCL), Reader, Lecturer International Collaborations: Visiting Professor at University of Malaya, Malaysia; partnerships with Malaysian Public Works Department (JKR) and CREAM (Malaysian Property Research Centre) Research Interests focus on facilities management, sustainability, and digital twin technology. Key areas include: Productivity and efficiency in workplace environments Sustainability strategies and performance measurement Digital twins for healthcare and infrastructure resilience Indoor environmental quality (IEQ) and occupant concentration Medical waste management in developing countries Climate-responsive building design for elderly populations Scientific Contributions include editorial leadership as Editor of the Journal of Facilities Management since 2001 and Fellow of the Royal Institution of Chartered Surveyors since 2000. His recent publications emphasize AI-driven asset management, blockchain-integrated healthcare systems, and climate adaptation strategies. Teaching encompasses modules on Service Operations Management and Principles of Facilities and Asset Management for the MSc in Digital Innovation in Built Asset Management at UCL.

Tom Barbetteمشاهده پروفایل

استادیار

• High-Speed Networking
• Network Function Virtualization (NFV)
• Load-Balancing
• +۳ مورد دیگر

Tom Barbette is an Assistant Professor in the Computer Engineering Center (INGI) department at the Louvain Polytechnic School (EPL) of Université catholique de Louvain (UCLouvain), Belgium. He leads the Efficiency of Networked Systems Group , focusing on programmable networks, SmartNICs, NFV, data-centers, and high-speed packet processing. PhD (2018) from Université de Liège (advisor: Laurent Mathy) Post-doctoral research at KTH, Sweden (2018-2021) and UCLouvain (2021-2022) His research explores redefining internet communication paradigms through programmable infrastructure like SmartNICs and P4. Key themes include: High-speed networking and load-balancing Sub-atomic communication models for disaggregated systems KERNEL bypass techniques for performance optimization He has contributed to major conferences like SIGCOMM, NSDI, and CoNEXT, with patents on network interface optimization. His group collaborates on projects such as: ASNI (SmartNICs programming interface) HIRT (High-speed Forward Erasure Correction) Reframer (Network stream optimization)

Bruce DENBYمشاهده پروفایل

استاد

• Speech Processing
• Silent Speech Interfaces
• Telecommunications
• +۴ مورد دیگر

Bruce DENBY is a Professor at Sorbonne University specializing in speech processing, telecommunications, and indoor localization. His research spans multiple disciplines including computer science, physics, and environmental science with significant contributions across these fields. His primary research interests include: Silent Speech Interfaces and speech restoration technologies Indoor localization using wireless networks and GSM fingerprints Telecommunications and signal processing Environmental modeling of road dust and air pollution Machine learning applications in speech recognition Dr. DENBY's research trajectory shows evolution from early work in high energy physics to speech processing and wireless communications, with recent publications (2022-2025) demonstrating continued innovation in WiFi analytics, client density mapping, and future speech interfaces. His work increasingly integrates deep learning techniques while maintaining focus on practical applications, particularly for speech restoration and privacy-preserving network analysis. Notable scientific achievements: Chester Sall Award Paper (2012) for work on FPGA-based FM broadcast receivers Significant contributions to the Silent Speech Challenge benchmark with deep learning approaches Development of the NORTRIP model for road dust emissions Highly cited work on Silent Speech Interfaces (over 500 citations) Dr. DENBY has secured research funding across multiple domains, collaborating with institutions across Europe. His work demonstrates strong interdisciplinary connections between speech technology, wireless communications, and environmental science, with applications ranging from assistive technologies to urban air quality management.

Marius Rosenbaumمشاهده پروفایل

مدرس

• Embedded Systems
• Avionics
• Flight Control Systems
• +۳ مورد دیگر

Dr. Marius Rosenbaum is a Lecturer at the Faculty of Mathematics and Computer Science of FernUniversität in Hagen. Located in Room H113, Building 3, he teaches courses including Application-Oriented Microprocessors, Embedded Systems, FPGA programming, and seminars on Modeling/Simulation and Aviation Digitalization. His examinations are conducted in written format. Research interests focus on aviation technology and embedded systems, with emphasis on: Flight assistance systems (glide path calculation, emergency landing field detection) AI applications in avionics (neural networks for traffic forecasting) Distributed computing (Kubernetes-based neural architecture search) Sensor-based guidance systems (Lidar, multi-modal image processing) His publications (2017-2025) demonstrate strong thematic coherence around aviation safety systems, integrating computer vision, path planning algorithms, and machine learning. Recent works explore mixed reality interfaces for pilot assistance and real-time glide path optimization. He actively supervises student theses, with 2024 projects including electric skateboard control systems, flight simulator plugins, speech recognition for air traffic, and ARM processor design. Collaborative research involves colleagues like Wolfgang Schiffmann and Alexander Klos in projects spanning emergency landing systems and neural architecture frameworks.