جست‌وجوی استاد و پژوهشگر

• Biophysics
• Cell Biology
• Membrane Biology
• +۲ مورد دیگر

Felix Campelo is a Visiting Professor at ICFO - The Institute of Photonic Sciences, specializing in theoretical biophysics. He earned his PhD from the Universitat de Barcelona (Spain) and focuses on membrane dynamics, secretory pathways, and biophysical modeling. His research explores the molecular mechanisms governing organelle structure, including the Golgi apparatus and ER-Golgi transport. He investigates lipid metabolism, protein sorting, and membrane curvature generation using computational and biophysical approaches. Recent work emphasizes secretory pathway regulation, collagen trafficking inhibition, and membrane nanoscale organization. His methodologies span theoretical models, imaging techniques, and biophysical simulations. Dr. Campelo contributes to understanding protein condensates, plasmodesmata formation, and cellular zinc homeostasis, bridging biophysics with cell biology and structural virology.

Zacharenia Garofalakiمشاهده پروفایل

استاد آموزشی

• Cybersecurity
• Internet of Things (IoT)
• Computer Networks
• +۳ مورد دیگر

Zacharenia Garofalaki is a Teaching Professor at the Department of Informatics & Computer Engineering, University of West Attica. She holds a Master’s Degree in Applied Information Systems (2015) and a Diploma in Electronic Computer Systems Engineering (2000) from Piraeus University of Applied Sciences. Currently pursuing a doctorate at the University of Piraeus, her research focuses on IoT security, network design, ad-hoc networking, and cyber-physical systems. Her professional experience includes 17 years as an IT Systems & Network Engineer, complemented by academic roles since 2016. She collaborated with the European Union Agency for Cybersecurity (ENISA) on threat landscape reports (2016-2021), contributing to annual cybersecurity trend analyses. Research contributions span vehicular networks, smart transportation systems, and IoT security frameworks such as CAPODAZ architecture. Zacharenia’s work bridges theoretical cybersecurity advancements with practical applications in critical infrastructure, healthcare, and intelligent transportation systems. Her expertise in policy-driven security models and stochastic modeling enhances IoT ecosystem resilience against evolving threats.

Seongim Choiمشاهده پروفایل

استادیار

• Computational Design Optimization
• CFD (Computational Fluid Dynamics)
• Multidisciplinary Analysis and Design Optimization (MADO)
• +۵ مورد دیگر

Seongim Choi is an Assistant Professor in the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech and an Adjunct Professor at KAIST's Graduate School of Transportation. His research focuses on computational design optimization, advanced CFD methods, and multidisciplinary analysis for aerospace systems. He holds a Ph.D. from Stanford University (2006) and degrees from Seoul National University (B.S. 1997, M.S. 1999). His expertise includes unsteady flow analysis, fluid-structure interaction, and rotorcraft design. Notable awards include the Young Investigator Award from the Asian/Australian Rotorcraft Forum (2012) and Best Paper Awards from AIAA conferences (2004). Professional roles span NASA Ames, the U.S. Army Aeroflightdynamics Directorate, and KAIST. Research interests emphasize adjoint-based sensitivity analysis, time-spectral methods for CFD, and machine learning integration in design optimization. Current work addresses low-boom supersonic jets, helicopter rotors, and autonomous UAV systems. His affiliations include the Virginia Tech College of Engineering and collaborations with KAIST's aerospace programs.

Suresh G. Advaniمشاهده پروفایل

استاد

• Clean Energy & Environment
• Composites & Advanced Materials
• Fluid Mechanics
• +۵ مورد دیگر

Suresh G. Advani holds the Unidel Pierre S. du Pont Chair of Engineering at the University of Delaware. He earned his Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign and a BTech in Mechanical Engineering from IIT Bombay. His research focuses on rheology, fluid mechanics, heat transfer, and composite processing, with applications to clean energy and advanced materials. He has authored over 350 journal papers, developed the Liquid Mold Filling Software (LIMS), and chairs the 2025 International Conference on Composite Materials. His honors include the American Society of Composites' Outstanding Researcher Award (2015) and the Society of Plastic Engineers' Educator of the Year award. Advani's expertise spans fluid mechanics, heat transfer, and materials engineering. His work addresses challenges in composite manufacturing, fuel cells, and hydrogen storage. He leads initiatives in energy-efficient manufacturing and sustainable composites, leveraging computational models and experimental validation. Notable projects include optimizing pyrolysis processes for carbon-carbon composites and enhancing PEM fuel cell membrane durability through novel chemical additives. His contributions to composite processing include advancing resin transfer molding (RTM) simulations, co-cure processes for honeycomb sandwich structures, and additive manufacturing techniques. He collaborates internationally, co-editing journals like Composites Part A and advising on industrial applications. His research bridges theoretical models with practical manufacturing solutions, emphasizing innovation in materials and energy systems.

Carl Henrik Hällمشاهده پروفایل

دانشیار

• Railway and Public Transport
• Transportation Engineering
• Operations Research
• +۳ مورد دیگر

Carl Henrik Häll is an Associate Professor at Linköping University's Department of Science and Technology, within the Communications and Transport Systems division. His research focuses on railway and public transport systems, including timetable optimization, freight train rescheduling, dynamic bus lane analysis, and electric vehicle integration. He has collaborated on projects addressing infrastructure modeling, disruption recovery, and sustainable transport solutions. Key research areas include transportation engineering, operations research, and logistics. His work combines mathematical modeling, simulation, and heuristic algorithms to improve traffic flow, resource allocation, and system stability. Notable contributions include developing MILP models for freight train rescheduling and evaluating dynamic bus lane impacts using real-world simulations. Recent publications emphasize railway crew scheduling, electric bus timetabling, and robust train path insertion in non-cyclic networks. He actively participates in interdisciplinary projects, such as B-PREPARED (disaster preparedness) and EAN (electric aircraft networks), and contributes to the Swedish transport research community through conferences like STRC2025. His expertise spans both academic and applied contexts, with a focus on translating research into practical tools for transportation planners and operators.

Brian L. Smithمشاهده پروفایل

استاد

• Transportation Systems Engineering
• Cybersecurity
• Connected and Automated Vehicles
• +۵ مورد دیگر

Brian L. Smith, PE is a Professor and Senior Associate Dean for Research and Faculty Affairs at the University of Virginia's School of Engineering and Applied Science, specializing in Civil Engineering. He leads research in transportation systems with a focus on sustainability, cybersecurity, connected/automated vehicles, and smart infrastructure. Dr. Smith has authored over 150 publications and holds multiple patents. His work includes pioneering virtual reality tools for pedestrian safety, cybersecurity frameworks for autonomous systems, and innovations in traffic management. Education: B.S., Civil Engineering, Virginia Tech (1989) M.S., Civil Engineering, University of Virginia (1991) Ph.D., Civil Engineering, University of Virginia (1995) Research Interests: Dr. Smith's work spans advanced transportation technologies, including cooperative systems, probe-based traffic monitoring, and AI-driven infrastructure solutions. He emphasizes interdisciplinary approaches to address urban mobility challenges, such as integrating cybersecurity into vehicle networks and optimizing smart city systems. Awards: Fellow, American Society of Civil Engineers (ASCE) ASCE Huber Research Award (2006) NSF CAREER Award Eno Transportation Leadership Fellow His advisory roles include guiding state/national transportation policies and serving as an associate editor for the ASCE Journal of Transportation Engineering. He founded the University of Virginia's Center for Transportation Studies and leads the Link Lab's transportation research initiatives. Teaching: Courses include CE 6440 (Advanced Transportation Systems) and CE 5000 (Construction Project Management), emphasizing hands-on learning and industry collaboration.

Lutz Ecksteinمشاهده پروفایل

استاد

• Automotive Engineering
• Automated Driving Systems
• Vehicle Dynamics
• +۴ مورد دیگر

Univ.-Prof. Dr.-Ing. Lutz Eckstein is the Head of the Institute of Automotive Engineering (ika) at RWTH Aachen University and a leading expert in automotive engineering. He concurrently serves as President of the VDI Association of German Engineers, President of the VDI Scientific Advisory Board for the Federal Ministry of Digital and Transport (BMDV), and Scientific Director of the NRW Competence Network for Automated and Connected Mobility. His professional background includes senior roles at BMW and DaimlerChrysler, focusing on vehicle safety, driver assistance systems, and ergonomics. Eckstein holds a Doctorate from the University of Stuttgart (2000) and received the Artur Fischer Prize (1995) for academic excellence. His research interests span automated driving systems, human-machine interfaces, scenario-based testing, and mobility infrastructure. He leads high-profile projects like UNICARagil and coordinates the Mobility and Transport profile at RWTH Aachen. Over 80 patents and publications reflect his contributions to automotive innovation, including advancements in sensor fusion, digital twins, and cooperative intelligent transport systems (C-ITS). His recent work emphasizes safety assurance for automated vehicles, scenario databases, and scalable simulation frameworks. Eckstein's interdisciplinary approach bridges academia and industry, driving transformative solutions for future mobility challenges.

Ina Berenice Finkمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Network Security
• Industrial Communication
• +۵ مورد دیگر

Ina Berenice Fink is a Researcher and PhD candidate at RWTH Aachen University's Chair of Communication and Distributed Systems. She holds an M.Sc. in Computer Science (2019) and is affiliated with both the Security and Privacy Group and Cyber-Physical Systems Group. Her work focuses on securing communication in critical infrastructure and industrial environments. She has served as a part-time lecturer at FH Aachen and actively contributes to teaching through seminars, labs, and thesis supervision. Notable awards include the 2020 Women’s STEM Award for her master’s thesis on in-network security and the 2019 Female Student Travel Award. Her research spans projects like VeN2uS (low-latency critical infrastructure communication), CONSENT (smart home security), and myneData/TRINICS. She has published extensively on topics including network monitoring, resilient smart grid communication, and industrial IoT security. Her work combines programmable networking, protocol evaluation, and cybersecurity frameworks to address real-world challenges in distributed systems. In teaching, she supervises bachelor’s/master’s theses on network emulation, industrial security, and programmable data planes. Her advising record includes over a dozen theses with topics ranging from starlink performance evaluation to secure industrial MUD frameworks. She collaborates across RWTH departments and external institutions, contributing to both academic conferences and applied security solutions.

Jay Aikatمشاهده پروفایل

استاد پژوهشی

• Computer Networking
• Data Science Education
• Cloud Computing Security
• +۳ مورد دیگر

Jay Aikat is the Vice Dean of the School of Data Science and Society at the University of North Carolina at Chapel Hill since July 2022, and a Research Professor in the Department of Computer Science. She previously served as Chief Operating Officer at RENCI (2016–2022) and held leadership roles in IT at UNC-Chapel Hill’s School of Information and Library Science. Aikat holds a Ph.D. in Computer Science from UNC-Chapel Hill, with earlier degrees in Electrical and Electronics Engineering and Computer Science. Her research focuses on experimental methods in networking, Internet traffic modeling, cloud security, and data science education. Notable contributions include work on airborne network topology management, cloud computing security frameworks, and pedagogical innovations in big data training. She has collaborated with institutions like NIEHS (National Institute of Environmental Health Sciences) and contributed to national-scale research infrastructure projects through GENI and COMBINE initiatives. Her publication trends reflect deep engagement with network experimentation, cybersecurity challenges in cloud environments, and scalable solutions for dynamic wireless systems. Aikat has also authored foundational work on web traffic evolution and protocol benchmarking, emphasizing reproducible methodologies in networking research. Her professional trajectory includes bridging academic research with applied IT leadership, fostering interdisciplinary collaborations across computer science, environmental health, and data science domains. Current efforts focus on expanding data science education and driving innovation through the School of Data Science and Society.

Bouzid Choubaneمشاهده پروفایل

پژوهشگر

• Transportation Engineering
• Civil Engineering
• Infrastructure Preservation
• +۳ مورد دیگر

Bouzid Choubane is a Researcher and Director of the National Center for Pavement Preservation (NCPP) at Michigan State University's College of Engineering. With over 35 years of expertise in transportation infrastructure and materials, he leads NCPP's outreach, education, and research initiatives to preserve national transportation systems. Previously, he spent 25 years at the Florida Department of Transportation (FDOT), overseeing materials and research programs, and was a Research Associate at Canada's National Research Council. Education: Ph.D., Civil Engineering, University of Florida (1993) M.S., Civil Engineering, University of Pennsylvania (1987) B.S., Civil Engineering, Centre Universitaire de Tizi-Ouzou, Algeria (1984) Research Interests: Focuses on pavement preservation technologies, asphalt materials, transportation infrastructure resilience, and sustainable construction practices. His work bridges academia, government, and industry to enhance infrastructure durability and efficiency. Publications: Over 80 peer-reviewed papers emphasize asphalt pavement performance, material behavior, and infrastructure management strategies. Recent trends include hydroplaning prediction tools, pavement response models, and long-term material evaluations. Awards: Outstanding Teaching Award (University of Florida) President's Recognition Award (University of Florida) Meyer-Horne Outstanding Achievement Award (ASTM International) Highway Engineer of the Year (Florida DOT) Advising & Grants: Spearheaded multi-million-dollar FDOT research programs and strategic partnerships. Active in TRB committees and editorial boards, advancing transportation research. Labs/Teams: Leads NCPP and collaborates with FDOT, academic institutions, and private entities to develop innovative infrastructure solutions.

Kakan Deyمشاهده پروفایل

دانشیار

• Intelligent Transportation Systems (ITS)
• Machine Learning Modeling
• Traffic Safety and Operations
• +۳ مورد دیگر

Dr. Kakan Dey is an Associate Professor in the Department of Civil and Environmental Engineering at Michigan State University, College of Engineering. His research focuses on connected and automated mobility, intelligent transportation systems (ITS), machine learning modeling, and traffic safety. He has secured grants from NSF, USDOT, and multiple state DOTs. His work includes editing the textbook Data Analytics for Intelligent Transportation Systems and serving as an Associate Editor for IEEE and IET journals. Education: Ph.D., Civil Engineering (Transportation), Clemson University (2014) M.S., Civil Engineering (Transportation), Wayne State University (2010) B.S., Civil Engineering, Bangladesh University of Engineering & Technology (2005) Research Interests: Dr. Dey’s research emphasizes data-driven approaches to ITS, autonomous vehicle integration, traffic safety analytics, and resilience of transportation networks under climate change. He explores innovative solutions for pedestrian safety, wrong-way driving prevention, and sustainable mobility systems. Grants and Awards: CAREER: Transportation Network Maintenance under Climate Change (NSF, 2023–2028) NSF Early CAREER Award (2023) George N. Saridis Best Transactions Paper Award (2017) ASCE ExCEEd Fellowship (2017) Recent Projects: Current projects include analyzing pedestrian hybrid beacon operations (MN DOT), modeling infrastructure resilience (NSF), and evaluating turbo roundabouts (NV DOT). He collaborates on smart transportation technologies and policy frameworks for emerging mobility services.

Katerina Vrotsouمشاهده پروفایل

دانشیار

• Visual Analytics
• Climate Adaptation
• Energy Systems
• +۵ مورد دیگر

Katerina Vrotsou is an Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Media and Information Technology (MIT) division. Her research focuses on visual analytics, climate adaptation, and generative AI applications in energy systems. She leads projects exploring synthetic data for sustainable housing and AI-driven climate adaptation strategies. Her work emphasizes interdisciplinary collaboration between basic and applied research. Key research areas include: Information visualization for complex data analysis Volunteered geographic information (VGI) integration for disaster management Interactive digital environment design Human factors in air traffic control decision-making Her recent publications (2023-2025) highlight advancements in: Real-time decision support interfaces Impact-based weather warning systems AI applications for urban climate adaptation Dr. Vrotsou's research contributes to both technical innovations (e.g., novel visualization tools) and societal challenges (e.g., climate resilience strategies).

Pieter-Tjerk de Boerمشاهده پروفایل

دانشیار

• Rare-Event Simulation
• Communication Systems
• Mathematical Performance Analysis
• +۳ مورد دیگر

Pieter-Tjerk de Boer is an Associate Professor at the University of Twente , affiliated with the Electrical Engineering, Mathematics and Computer Science (EEMCS) faculty. He holds dual roles in the Design and Analysis of Communication Systems (Computer Science) and the Digital Society Institute . His research focuses on rare-event simulation, communication systems, and mathematical performance analysis. He earned his PhD in 2000 from the University of Twente with a thesis on queueing models for telecommunication systems. Key research areas include stochastic performance analysis (e.g., importance sampling techniques for queueing networks), computer networking (DNS analysis, IPv6 security), and radio technology (MIMO receivers, harmonic rejection mixers). His work bridges theory and application, addressing challenges in reliability, security, and efficiency of digital systems. Notable contributions include advancements in statistical model checking, automated rare-event simulation for stochastic Petri nets, and open-source intelligence analysis using radio receivers. His findings are published in journals like Simulation , IEEE Transactions , and Performance Evaluation , with over 98 research outputs since 1996. Collaborations span academia and industry, including work on cybersecurity, network management, and hardware-software co-design. Media engagements include discussions on radio receiver usage patterns during the Ukraine war and IPv6-related network vulnerabilities.

Xiaoliang Wangمشاهده پروفایل

استاد پژوهشی

• Aerosol Instrumentation
• Air Quality Measurement
• Vehicle Emission Characterization
• +۳ مورد دیگر

Xiaoliang Wang is a Research Professor and Director of the Atmospheric Sciences Graduate Program at the University of Nevada, Reno (UNR) and the Desert Research Institute (DRI). He holds a Ph.D. and M.S. from the University of Minnesota (2006 and 2002) and dual B.E. degrees in Thermal Engineering and Environmental Engineering from Tsinghua University (2000). His research focuses on aerosol science, including instrument development, emission characterization, and air quality measurement. He leads projects on lithium-ion battery fire emissions, vehicle non-tailpipe emissions, and coal mine dust exposure reduction. He has developed key instruments like the nanoparticle aerodynamic lens for aerosol mass spectrometers and the DRI Portable Emissions Measurement System (PEMS). Wang has received prestigious awards including the 2020 AAAR Benjamin Y. H. Liu Award for aerosol instrumentation, the 2021 DRI Science Medal, and the 2024 NSHE Mid-Career Researcher Award. He serves on committees for the American Association for Aerosol Research (AAAR) and has authored over 100 peer-reviewed articles. His work spans fields like spacecraft fire safety, fugitive dust measurement, and computational fluid dynamics modeling. Key contributions include miner safety training programs reducing silica exposure and studies on brake/tire wear emissions near highways. His research integrates laboratory methods, field measurements, and numerical simulations to address environmental and occupational health challenges.

• Transport Engineering
• Statistical Modelling
• Transport Economics
• +۴ مورد دیگر

Professor Daniel Graham is a Professor of Statistical Modelling at Imperial College London's Department of Civil and Environmental Engineering, within the Faculty of Engineering. He leads the Centre for Transport Engineering & Modelling and directs the Transport Strategy Centre. His research focuses on statistical and mathematical models for transportation systems, including causal inference, data-centric engineering, and transport economics. Graham holds a PhD from Imperial College London and is a Fellow of the Institute of Mathematics and its Applications and the Royal Statistical Society. He also serves as a visiting professor at Zhejiang University and South East University in China. His work explores transport infrastructure performance, urban mobility, and policy impacts, with notable contributions to understanding the effects of cycling infrastructure, airport operations, and congestion pricing. Recent studies analyze causal relationships in transport safety, air quality impacts of transport policies, and the economic implications of urban rail expansions. Graham advises UK transport policy and contributed to parliamentary committees. His research integrates advanced statistical methods and machine learning to address complex transport challenges. Awards: FIMA (Fellow of Institute of Mathematics), FRSS (Fellow of Royal Statistical Society) Roles: Head of Centre for Transport Engineering & Modelling, Director of Transport Strategy Centre Key Projects: Data Centric Engineering Program at Alan Turing Institute, Transport Strategy Centre initiatives Publications emphasize causal transport policy evaluation, urban rail performance benchmarking, and the application of Bayesian methods. His work bridges academic research with real-world policy implementation, particularly in improving safety, efficiency, and sustainability of transport systems.