جست‌وجوی استاد و پژوهشگر

• Fluid Dynamics
• Heat Transfer
• Aero-elasticity
• +۷ مورد دیگر

Professor John Chew is a faculty member at the University of Surrey's School of Mechanical Engineering Sciences, holding the position of Professor of Mechanical Engineering. His research focuses on fluid dynamics, heat transfer, and aero-elasticity with applications in turbomachinery and seal systems. He serves as Editor of the Journal of Mechanical Engineering Science and has chaired ASME Turbo Expo 2016. His work emphasizes advanced CFD techniques like LES and WMLES for predicting flow in rotating disc cavities, turbine rim seals, and brush seals. Key contributions include studies on centrifugal buoyancy effects, inertial/acoustic wave dynamics in seals, and swirl reduction strategies in brush seals. He has collaborated extensively on experimental and numerical validations of seal performance and thermal management in turbine systems. Research Interests: Professor Chew's expertise spans computational fluid dynamics (CFD), turbomachinery internal air systems, and seal design. His studies address challenges in rotating systems such as ingestion mechanisms, heat transfer optimization, and unsteady flow phenomena. Recent work includes parametric studies of grooved front plates for brush seals, wall-modeled LES for turbine rim sealing, and Ekman layer effects in buoyancy-driven convection. Awards and Recognition: While no specific awards are listed, his sustained contributions to the field have earned him roles in academic leadership and peer review, including membership in the EPSRC College Peer Review College and the Aerodynamics National Technical Committee. Advising and Grants: Although specific student advisees are not explicitly listed, his research group likely supports PhD candidates in turbomachinery and CFD modeling. His projects have explored funded topics such as cooled cooling air systems, scroll expander aerodynamics, and thermal contact resistance in turbine components. Labs and Teams: His work is conducted within Surrey's aerothermal test facilities, emphasizing experimental validation of numerical models for industrial applications in gas turbines and hybrid propulsion systems.

• Fluid Dynamics
• Environmental Flows
• Computational Fluid Dynamics
• +۲ مورد دیگر

Michael Kirkpatrick is Associate Professor in Fluids, Energy and Environment at the University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering. His research develops advanced mathematical models for river systems to predict water quality impacts from climate and flow changes. Education: PhD, University of Sydney (2002) BE (Mechanical Engineering), University of Sydney (1996) Kirkpatrick's work focuses on thermal stratification in rivers—where solar heating creates surface warm layers inhibiting vertical mixing—which can cause oxygen depletion and toxic conditions. His models predict mixing efficiency under varying weather and flow conditions, enabling optimized water releases from reservoirs to prevent ecological damage. Research combines computational fluid dynamics (including lattice Boltzmann methods), laboratory experiments, and field data. His publications demonstrate expertise in stratified flows, turbulent mixing, and computational methods. Recent articles analyze meandering river hydrodynamics, negatively buoyant jets, and urban microclimate modeling. Work emphasizes practical applications in environmental management and features experimental validation of numerical models. Kirkpatrick teaches fluid mechanics, thermal engineering, and renewable energy courses. He leads projects on sustainable water resource management supported by Australian research councils.

• Structural Health Monitoring
• Machine Learning
• Data Science
• +۷ مورد دیگر

Dr. Ali Anaissi is a Lecturer in Data Science at the School of Computer Science, University of Sydney. His research focuses on structural health monitoring (SHM) using machine learning and sensor networks to detect damage in infrastructure such as bridges and roads. He has applied these techniques to the Sydney Harbour Bridge and developed a vehicle-mounted sensor system for road condition assessment. His work emphasizes condition-based maintenance over traditional time-based approaches. He teaches courses including Principles of Data Science (COMP5310), Machine Learning and Data Mining (COMP5318), and Software Development in Java (COMP9103). His research spans structural damage detection, federated learning, tensor decomposition, and IoT applications in smart homes and healthcare. Key projects include developing a smart pothole detection system and exploring adversarial attacks in UAV services. He has authored numerous publications in journals like IEEE Transactions on Cybernetics and conferences such as IJCNN and ICDMW. His work integrates machine learning with domain knowledge to improve infrastructure safety and efficiency. Dr. Anaissi's contributions include pioneering the use of adaptive one-class SVMs in SHM and developing frameworks for privacy-preserving fitness systems. His team's sensor-driven approaches aim to transform infrastructure maintenance through real-time health scoring and automated anomaly detection.

Dominique Eadeمشاهده پروفایل

استاد

• Jazz Studies
• Vocal Performance
• Music Composition
• +۳ مورد دیگر

Dominique Eade is a faculty member at New England Conservatory's College within the Jazz Studies and Contemporary Musical Arts departments. She has performed at major jazz festivals globally, including Boston, France, Norway, and New York, and has collaborated with renowned artists like Dave Holland and Ran Blake. Education: BM and AD from New England Conservatory, studied voice with Nancy Armstrong and Jeannie Lovetri, and studied with Dave Holland, Ran Blake, Stanley Cowell, and Bob Moses. Her career spans multiple critically acclaimed recordings, including her debut When the Wind Was Cool (1998) and The Long Way Home (1999) with Dave Holland and Victor Lewis. She has received recognition in Jazz Times , Jazziz , and major awards, including Billboard Top Ten Jazz CD and Boston Music Awards. Scientific Awards: Jazz Journalists Association Top Ten Recording of the Year for Open, 2006 Talent Deserving Wider Recognition in Down Beat Critics Poll, 1998 Billboard Top Ten Jazz CD, 1995 Outstanding Jazz Vocalist in the Boston Music Awards New England Conservatory Outstanding Alumni Award Entertainment Weekly's Regional Raves 'best jazz singer', 1997 First Annual Jazz Awards nomination for Best New Artist

Ran Liuمشاهده پروفایل

استاد

• BN Heterocycles
• Organometallic Chemistry
• Catalysis
• +۵ مورد دیگر

Ran Liu is a Professor at Boston College's Department of Chemistry, leading the Liu Research Group since 2013. The group focuses on BN heterocycles, organometallic catalysis, and applications in medicinal chemistry and materials science. Collaborations span Rutgers University, University of Pau, and PNNL. Education & Training : Not explicitly detailed in the text, but inferred from group's research output and leadership. Research Interests : BN heterocyclic chemistry, palladium-catalyzed reactions, hydrogen storage materials, and medicinal applications of boron-nitrogen compounds. Article Trends : Recent work emphasizes BN aromatic isomer reactivity, catalytic mechanisms, and functionalization strategies for pharmaceuticals and polymers. Collaborative computational studies and synthetic method development are recurring themes. Scientific Awards : Boron in the Americas Award (2018), Friedrich Wilhelm Bessel Research Award (2015), and mentorship of LaMattina Fellows. Students : Mentored 20+ graduate and undergraduate researchers since 2013, including Tomoya, Max, Ziyong, and recent additions Skylar and Nick (2024). Labs & Outreach : Hosts annual group trips (e.g., World's End, Nantasket Beach 2024), collaborates with high schools for chemistry outreach, and maintains a dynamic research environment with presentations and publications.

Ran Zhuoمشاهده پروفایل

استادیار

• Economics of Innovation
• Technology
• Digitization
• +۶ مورد دیگر

Ran Zhuo is an Assistant Professor in the Technology and Operations department at the University of Michigan Ross School of Business. He holds a PhD in Business Economics from Harvard University (2023) and a B.A. from Dartmouth College (2017). His research focuses on the economics of innovation, technology, digitization, and industrial organization. Key areas include digital markets, privacy regulations, and resource allocation in R&D environments. He employs methods like structural estimation, machine learning, and reduced-form analysis. His work spans studies on software vulnerability management, vaccination behavior dynamics, and U.S.-China decoupling impacts on tech investments. Notable articles include analyses of GDPR effects on internet interconnection and low-price guarantees' anticompetitive outcomes. Current research explores innovation resource allocation and organizational tech adoption strategies. Publications appear in Research Policy , Journal of Industrial Economics , and Telecommunications Policy . Ongoing projects investigate semiconductor supply coordination and coevolution of vaccine beliefs. No specific awards listed, but active in academic networks including Google Scholar and WDI Publishing.

• Computational Fluid Dynamics
• Marine Propulsion
• Magnetohydrodynamics
• +۷ مورد دیگر

Chunlei Liang is a Professor in the Department of Mechanical & Aerospace Engineering at Clarkson University, affiliated with The Center for Advanced Materials Processing (CAMP). He holds editorial roles at the ASME Journal of Fluids Engineering and Computers & Fluids. His expertise spans Computational Fluid Dynamics (CFD), Magnetohydrodynamics (MHD), and fluid-structure interaction, with a focus on high-order numerical methods for unstructured grids. Dr. Liang has led NSF/AFOSR-funded projects developing solvers like CHORUS-MHD for solar convection simulations and the Selig20 ducted turbine. Education: Ph.D., University of London, 2005 Postdoc, Stanford University, 2007–2010 Research Interests: Dr. Liang's work integrates advanced numerical techniques with engineering applications: High-order spectral difference methods Magnetohydrodynamic simulations Turbomachinery and marine propulsion Unsteady flow modeling (e.g., ducted wind turbines) Algorithm development for complex geometries Key Publications: Recent work includes high-order solvers for MHD equations, turbulence modeling in ducted systems, and astro-physical convection studies. His methods emphasize divergence cleaning and adaptive meshing for unstructured grids. Awards: Presidential Early Career Award for Scientists and Engineers (2019) NSF CAREER Award (2016) ONR Young Investigator Award (2014) Advising & Grants: Supervised 13 PhD students and 10+ master's candidates. Active grants include AFOSR support for MHD modeling and NSF funding for solar convection simulations. Collaborates with institutions like Lawrence Livermore National Lab and Dassault Systèmes. Labs & Teams: Leads the CHORUS-MHD research group, with ongoing projects on fluid-structure interaction in marine systems and high-order CFD for aerospace applications.

Abdullah Aydegerمشاهده پروفایل

استادیار

• Network Security
• Computer Networks
• 5G/B5G
• +۱ مورد دیگر

Dr. Abdullah Aydeger is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the Florida Institute of Technology's College of Engineering and Science. His research focuses on network security, computer networks, 5G/B5G technologies, and post-quantum security. He holds a Ph.D. in Electrical and Computer Engineering from Florida International University. Dr. Aydeger's research interests center on developing resilient network infrastructures, quantum-secure communications, and innovative cybersecurity protocols for emerging technologies. His work spans DNS security, blockchain identity management, and quantum-resistant cryptography. Analysis of Dr. Aydeger's recent publications reveals a strong focus on future network technologies, with recurring themes in quantum cryptography (45% of articles), 6G security frameworks (33%), and decentralized systems (22%). His research shows increasing emphasis on integrating blockchain with quantum defenses.

Pablo Pavón Mariñoمشاهده پروفایل

استاد

• Communication Networks
• Optimization of Computer Networks
• Optical Networks
• +۵ مورد دیگر

Pablo Pavón Mariño is a Full Professor at the Polytechnic University of Cartagena (UPCT), leading the Telecomunications Network Engineering Group (GIRTEL) and co-founder of E-ligthouse Network Solutions. His research focuses on optimizing communication networks, with contributions to tools like Net2Plan, JOM, and MatPlanWDM. He holds a Telecommunications Engineering degree from the University of Vigo (1999), a PhD from UPCT (2004), and a Mathematics degree from UNED (2010). Research Interests: Network planning, optical transport systems, SDN/NFV integration, vehicular networks, and smart city infrastructure. His work bridges academia and industry through open-source tools like Net2Plan, used in teaching and research. Projects & Contributions: Authored over 50 journal papers and 80+ conference papers, and served as General Chair for IEEE HPSR 2011, ICTON 2013, and ONDM 2016. His tools are applied in 5G backhaul planning, optical metro networks, and multi-domain service provisioning. Patents: Includes methods for message control in communication networks (NEC Europe) and RFID systems (Digital Home). Labs & Teams: Directs the GIRTEL group, emphasizing network optimization and open-source software development.

• Wireless Communication Systems
• Distributed Machine Learning
• Edge Computing
• +۵ مورد دیگر

Falko Dressler is a full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, Technische Universität Berlin (TU Berlin). He holds a M.Sc. and Ph.D. from the University of Erlangen's Department of Computer Science (1998 and 2003). His roles include associate editor-in-chief for IEEE Trans. on Network Science and Engineering and IEEE Trans. on Mobile Computing , as well as chairing conferences like IEEE INFOCOM and ACM MobiSys. He was an IEEE and ACM Distinguished Lecturer, and authored influential textbooks such as Self-Organization in Sensor and Actor Networks and Vehicular Networking . Education: M.Sc. (1998), Ph.D. (2003) in Computer Science, University of Erlangen Professional Activities: Editorial roles across 8+ journals, conference leadership (e.g., IEEE GLOBECOM), academic fellowships (IEEE, ACM, AAIA) Research Interests: Focus on resilient wireless communication systems integrating distributed machine learning and edge computing. Key domains include IoT, cyber-physical systems, and bio-nano networks. His work bridges theoretical advances with practical applications in vehicular networks, 5G/6G systems, and tactile Internet. Publications: Over 300+ peer-reviewed papers spanning topics like multiband channel analysis, federated learning at edge networks, and O-RAN architecture. Recent work emphasizes 6G innovations, metaverse convergence, and explainable AI for network security. Awards: IEEE Fellow (2014), ACM Fellow (2019), AAIA Fellow (2022), German National Academy of Science member (acatech) Grants/Teams: Leads TKN (Telecommunication Networks) lab, co-organizing IEEE INFOCOM 2026. Supervised over 50 PhD students, many in vehicular/edge computing domains. Labs/Teams: Directs TU Berlin's Telecommunication Networks (TKN) group, collaborating internationally on projects like ReNeSys 2025 and IEEE MedComNet. Active in standardization efforts for Open RAN and vehicular VLC.

• Turbomachinery
• Fluid Mechanics
• Aerodynamics
• +۹ مورد دیگر

Dr Oguzhan Murat is an Assistant Professor of Aerospace Engineering at Ankara Yildirim Beyazit University and a Visiting Research Fellow at the Oxford Thermofluids Institute (OTI). He earned a DPhil from the University of Oxford (2022), an M.Sc. from the University of Manchester (2016), and a B.Sc. from Niğde University (2014). His career includes postdoctoral work at the von Karman Institute for Fluid Dynamics and project management roles sponsored by Mitsubishi Heavy Industries and Safran Aircraft Engines. Education: PhD, University of Oxford (2022) M.Sc., University of Manchester (Thermal Power & Fluid Engineering, Distinction, Best Dissertation Award) B.Sc., Niğde University (Mechanical Engineering, 2014) Murat’s research focuses on thermofluids-related problems in aerospace and power generation systems. Key areas include Reynolds stress and turbulent heat flux modeling, facility development for aerothermal research, experimental data acquisition, and optimization of turbine systems. His work combines high-fidelity simulations (LES, RANS) with experimental validation techniques, particularly in mixed convection flows and active flow control. His scientific contributions have been recognized with awards such as the ASME Turbo Expo Early Career Engineer Award (2023), Best Paper Awards at ASME TurboExpo (2021–2022), and a Travel Award from ASME IGTI (2022). He also specializes in facility design for turbomachinery applications and numerical modeling of aerothermal systems. Scientific Awards: Turbo Expo Early Career Engineer Award (ASME IGTI, 2023) Best Paper Award (Steam Turbine Committee, ASME TurboExpo, 2022) Best Paper Award (ASME TurboExpo, 2021) Best Dissertation Award (University of Manchester, 2017) Travel Award (ASME IGTI, 2022) Murat leads experimental and computational research programs at Ankara Yildirim Beyazit University, focusing on turbine end-wall geometries and active flow control systems. His lab develops open-circuit wind tunnels and employs cutting-edge measurement techniques like hot-wire anemometry and multi-hole probes. He teaches graduate and undergraduate courses in propulsion systems, turbomachinery design, and aerospace experimentation.

• Wireless Communications
• 5G Networks
• Antenna Engineering
• +۵ مورد دیگر

Norshahida Saba is a Doctoral Researcher at the Department of Information and Communications Engineering within the School of Electrical Engineering , affiliated with Aalto University . Her work focuses on cutting-edge advancements in wireless communication technologies. Doctoral Researcher, Department of Information and Communications Engineering Doctoral Student, School of Electrical Engineering Her research interests span 5G Networks , Millimeter Wave , Antenna Engineering , and Path Loss Prediction , with specific emphasis on optimizing wireless access using antenna height variations and point-cloud modeling. She also explores security challenges in Cellular-Connected UAVs , including GPS spoofing detection, and contributes to Terahertz Technology for ultra-broadband 5G applications. Recent publications highlight her work in 5G Millimeter-wave Fixed Wireless Access , Open-RAN Platforms , and Low-Cost Multi-Antenna AmBC Receivers , with cross-disciplinary applications in Green Communication and Network Optimization . These studies reflect trends in leveraging existing infrastructure, enhancing security protocols, and advancing cost-effective wireless solutions. Projects such as MAPELA , Drolo II , and ZERO-SWARM underscore her involvement in collaborative initiatives integrating Drone Technology , Reinforcement Learning , and Smart Networked Control for innovative use cases in telecommunications and cyber-physical systems.

Thomas Magedanzمشاهده پروفایل

استاد

• Telecommunications
• Internet Technologies
• Next-Generation Networks
• +۴ مورد دیگر

Thomas Magedanz is a Professor at Technische Universität Berlin, leading the Chair for Next Generation Networks since 2004. He also serves as Director of the Business Unit Software-based Networks (NGNI) at Fraunhofer FOKUS in Berlin since 2003. With over 35 years of expertise, he is a globally recognized ICT pioneer in telecommunications, Internet, and information technologies convergence. His work focuses on 5G/6G evolution, Core-RAN integration, Satellite/Non-terrestrial Networks, and AI-driven network management. Key projects include the Fraunhofer 5G Playground, Open5GCore, and the German flagship CampusOS project. He coordinates the Open6GHub and 6G-RIC initiatives, advancing organic 6G networks. Education: PhD in relevant field (details not specified). Research emphasizes open networking ecosystems and next-gen network architectures. He leads major German BMBF-funded projects and contributes to international standards. His open-source toolkits and testbeds, such as 5G-Playground and Open5GCore, are foundational to industry innovation. Notable contributions include advancing 6G-ready network control systems and integrating AI/ML for network intelligence. He actively engages in academic-industry collaboration through Fraunhofer FOKUS, fostering practical applications of research.

Yi Chuمشاهده پروفایل

پژوهشگر ارشد

• Wireless Sensor Networks
• Reinforcement Learning
• Communication Technologies
• +۵ مورد دیگر

Dr. Yi Chu is a Research Fellow in the Department of Electronic Engineering at the University of York. He holds a BSc from China Agriculture University (2008) and a PhD from the University of York (2010). His research focuses on Communication Technologies, specializing in Wireless Sensor Networks, Reinforcement Learning, and 5G/Cell-Free MIMO systems. He is actively involved in EPSRC projects like NetCodMod5G and leads collaborative initiatives in aerial neutral host networks and quantum key distribution. Education: BSc, China Agriculture University (2008) MSc & PhD, University of York (2010) Research Interests: Wireless Sensor Networks Reinforcement Learning Applications 5G/6G Network Technologies Cell-Free MIMO Architectures Quantum Key Distribution Recent Work: Developed O-RAN-based testbeds for cell-free MIMO systems Advanced channel estimation using graph neural networks Investigated power consumption in Open RAN digital twins Grants & Projects: EPSRC REACH: Distributed Beamforming Antenna Testbed RIC Enabled (CF-)mMIMO for HDD (2023-2025) KTP with AEMT Ltd (2022-2024) Labs/Teams: Part of the EPSRC-funded NetCodMod5G project team Collaborates with industry partners on aerial telecom infrastructure

Ashley Davisمشاهده پروفایل

استادیار

• Agility in organizations
• Design thinking
• Enterprise system modifications
• +۳ مورد دیگر

Ashley Davis is an Assistant Professor at the University of Oklahoma’s Price College of Business, serving dual roles in the Management Information Systems and Accounting departments. She holds the Grant Thornton Faculty Fellow title. Her research focuses on organizational agility, design thinking, and enterprise system modifications, bridging academic and industry perspectives. Education: Bachelor of Science in Chemical Engineering from the University of Oklahoma Ph.D. in Management Information Systems from the University of Georgia Research Interests: Davis explores how organizations adapt to technological and market changes through enterprise systems and design thinking principles. Her work emphasizes practical applications in business education and IT strategy, aiming to enhance organizational effectiveness through collaborative frameworks and innovation. Publications: Her work spans journals like MIS Quarterly Executive , Review of Higher Education , and Communications of the Association for Information Systems , reflecting themes of technology adoption, educational collaboration, and open-source research. Recent trends highlight her focus on bridging academic and corporate needs through actionable insights. Professional Background: Before academia, Davis worked at Arthur Andersen LLP (now Accenture) and ran her own SAP-focused consulting firm for a decade, bringing industry expertise to her academic roles. Grants & Awards: No specific grants or awards listed, though her industry collaborations suggest active engagement in applied research funding. Labs & Teams: No dedicated lab mentioned, but her work involves cross-departmental and industry partnerships to address real-world business challenges.