جست‌وجوی استاد و پژوهشگر

• Optical Communications
• Telecommunications
• Data Analytics
• +۳ مورد دیگر

Luis Velasco Esteban is a Full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Informatics and the Department of Computer Architecture. His expertise focuses on optical communications, future internet monitoring, and network security. He holds a degree in Telecommunications Engineering, a PhD in Signal Theory and Communications, and an MBA in Business Management. His research emphasizes advanced optical networking technologies, including digital twin applications, quantum key distribution, and AI-driven network optimization. He leads projects funded by EU initiatives like Horizon 2020 and collaborates with groups like CCABA and GCO. Notable contributions include innovations in multiband optical systems, 6G network architectures, and deterministic networking protocols. His work bridges theoretical advancements with practical implementations, addressing challenges in latency, security, and network scalability.

• Systems Modeling
• Systems Analysis
• Simulation of Systems
• +۹ مورد دیگر

Dr. Antonio Fernández Cardador is a Professor at the ICAI School of Engineering, Comillas Pontifical University, and a researcher at the Institute of Technological Research (IIT). He has been affiliated with IIT since January 1991 and specializes in railway systems, focusing on modeling, simulation, and optimization of railway operations. His research interests include systems modeling, analysis, and simulation, with applications in railway systems, eco-driving, energy efficiency, regenerative braking, automatic traffic regulation, and capacity optimization in urban rail networks. The recent publications highlight a strong focus on energy-efficient train operation, predictive traffic regulation, integration of energy storage systems, and multi-objective optimization using advanced algorithms. His work combines simulation, artificial intelligence, and control theory to improve railway sustainability and performance. Scientific Awards: Director of work awarded Honorary Distinction for best Doctoral Thesis in Engineering (2020, 2014) KF Alcock RIA Memorial Prize for best paper on regenerative energy use (2013) Accessit of the 13th Talgo Award for Technological Innovation (2013) "The 100 Best Ideas of 2013" by Actualidad Económica for energy improvement in driving safety Management Solutions Best Master's Thesis Award (2022) Dr. Fernández Cardador has advised numerous PhD students and led significant research projects with major railway operators and infrastructure managers across Europe. He has also contributed to the development of tools and methodologies for energy-efficient train operation and traffic regulation. His work is supported by collaborations with institutions such as CAF Signalling, ADIF, Metro de Madrid, and international universities. He is actively involved in research labs and teams focused on railway energy efficiency, smart infrastructure, and intelligent transportation systems, particularly within the IIT and ICAI ecosystem.

• Artificial Intelligence
• Reinforcement Learning
• Generative AI
• +۱۰ مورد دیگر

Álvaro Jesús López López is a researcher at the Instituto de Investigación Tecnológica (IIT) and a professor at the Higher Technical School of Engineering (ICAI), both part of Comillas Pontifical University. He holds the position of Associate Research Fellow and serves as a principal investigator at the Chair of Smart Industry, where he leads applied research on digital technologies such as generative AI, computer vision, and synthetic data generation. He also directs executive programs in generative artificial intelligence for professionals at Comillas Onexed. His research interests include Artificial Intelligence, Reinforcement Learning, Generative AI, Smart Industry, and Railway Systems . His work focuses on applying advanced AI techniques to industrial and transportation challenges, particularly in energy efficiency and automation. He has published extensively in high-impact journals such as Engineering Applications of Artificial Intelligence , Applied Intelligence , and Transportation Research Part C . The recent articles highlight a strong trend toward applied AI in industrial and robotic systems , with a focus on sim-to-real transfer, keyphrase extraction, and reinforcement learning enhanced with semantic knowledge. His work bridges the gap between theoretical AI and real-world industrial applications. Scientific Awards: Honorable Mention from the Industry 4.0 Observatory (2021) Honorable Mention at the 6th Connected Industry Promotion Award Erasmus Teaching/Research Staff Training Grant (2014) He has advised multiple PhD students and leads several industry-funded research projects with organizations such as Ferrovial, Endesa, Metro de Madrid, and the European Commission. He has also organized scientific events and delivered numerous invited talks on AI and digitalization. His research has led to practical applications, including a patent on utilizing regenerative braking energy in railways. He completed a research stay at the Royal Institute of Technology (KTH) in Stockholm and has contributed to books and policy reports on digitalization in industry.

• Control Systems
• Electrification of Railway Systems
• Thermoelectricity
• +۷ مورد دیگر

Ramón Rodríguez Pecharromán is an Associate Professor in the Department of Electronics, Automation, and Communications at the Higher Technical School of Engineering of Comillas Pontifical University. He has been affiliated with the university since 1992 and is also a researcher at the Technological Research Institute (IIT). He served as the Director of his department from 2012 to 2021. Research Interests: His primary research areas include Control Systems, Electrification of Railway Systems, and Thermoelectricity. His work focuses on enhancing energy efficiency in DC-electrified mass transit systems through advanced modeling, optimization algorithms, and energy storage integration. He investigates regenerative braking, demand charge reduction, and smart traffic simulation to improve railway electrical infrastructure. Publication Trends: His recent publications emphasize energy storage systems in railways, optimization using nature-inspired algorithms (e.g., coral reefs, swarm intelligence), and simulation-based assessment of reversible substations. There is a strong focus on sustainable urban transit, economic impact analysis, and high-impact applications in real-world metro systems. Scientific Awards: K. F. Alcock RIA Memorial Prize, Institution of Mechanical Engineers, August 2013 Distinción Honorífica a la mejor Tesis Doctoral, Universidad Pontificia Comillas, January 2021 Premio Cátedra de Industria Conectada al mejor Proyecto Fin de Carrera, April 2023 Advising and Grants: He has supervised PhD students, including D. Roch Dupré and A.J. López López. His research has been funded by major institutions such as ADIF, Metro de Madrid, the Ministry of Science and Innovation, and the European Regional Development Fund. Projects include energy management in rail systems, smart microgrids, and regenerative energy utilization for electric vehicle charging. Labs and Teams: He is a key member of the railway systems research group at IIT, contributing to applied projects in railway electrification and control. His team collaborates with national and international transportation authorities and industry partners to implement energy-efficient solutions.

• Computer Networks
• Optical Networking
• Software-Defined Networking (SDN)
• +۳ مورد دیگر

Malathi Veeraraghavan is a Professor in the Department of Computer Science at the University of Virginia . Her research focuses on Computer Networks , Optical Networking , Software-Defined Networking (SDN) , and Data Transfer Protocols , with applications in Grid Computing and High-Performance Computing . Recent work includes the PORTFILER system for malware detection via network profiling, SnF scheduling for inter-datacenter optical networks, and reliable multicast protocols over multi-domain SDNs. She has contributed to congestion control frameworks and network function virtualization surveys. Key collaborations span institutions like the University of Virginia, Universiti Teknologi Malaysia, and Bell Labs. Her publications appear in journals such as IEEE Transactions on Cloud Computing and conferences like GLOBECOM and INFOCOM .

Górowski Maciejمشاهده پروفایل

استادیار

• Rail Vehicle Design
• Control Cabin Ergonomics
• Autonomous Rail Systems
• +۴ مورد دیگر

Dr. Maciej Górowski , Assistant Professor at Cracow University of Technology's Department of Rail Vehicles and Transport since 2008, is a dual-role academic and industry expert. He also serves as Deputy Head of the Research and Development Department at NEWAG Nowy Sącz since 2010, bridging academic innovation with industrial application. Academy of Fine Arts, Krakow (Industrial Design, Transport Design specialization) Postgraduate studies: Cracow University of Technology (Rail Vehicle Construction and Operation) Master's thesis: "Design of a Modern Tram Driver Station" (awarded TPSP Medal) Holding a 2021 PhD thesis on control cabin standards, his research focuses on rail vehicle ergonomics , autonomous tram systems , and control cabin design . His work integrates human-machine interaction , operator safety , and educational technology through physical and digital simulation platforms. Publications emphasize design standardization and technical innovation in rail transport, with over a dozen practical control station implementations. Dr. Górowski's teaching innovations include co-creating Poland's first Rail Vehicle Engineering dual specialization program (2017), winning multiple Rector's awards for didactic achievements. His NGT6 tram simulator (2017) and 1:1 driver cabin replica serve as key educational and research tools, accompanied by industrial collaboration with Siemens, MPK SA, and PKP PLK SA. Scientific recognitions include: TPSP Medal (Krakow, 2008) CIOP National Team Award (2009) Rector's Team Awards (2017, 2018, 2020) Individual Rector's Award (2023) He leads industrial projects for major rail operators, including: Diesel locomotive 6Dg series (2009, over 200 produced) Siemens INSPIRO metro train driver stations EP09 electric locomotive control systems His educational initiatives extend beyond academia through: NGT6 Tram Simulator public training programs "UWAŻAJ! TRAMWAJ!" safety campaign (2023) "Laboratorium Małego Inżyniera" outreach (2017-2021)

Frank Slyneمشاهده پروفایل

پژوهشگر ارشد

• Optical Networking
• Wireless Communications
• Software Defined Networking (SDN)
• +۵ مورد دیگر

Dr Frank Slyne serves as a Research Fellow at the CONNECT Centre within Trinity College Dublin, specializing in next-generation telecommunications infrastructure with expertise spanning optical-wireless convergence, network virtualization, and resource optimization. His academic credentials include: B.E. in Electrical Engineering from University College Cork (1988) M.Eng in Electronic Engineering from Dublin City University (1994) With over two decades of industry experience as an engineering manager at Eircom overseeing ISP platforms, Dr Slyne transitioned to academia in 2012 to join Prof. Marco Ruffini's Optical Network Architecture research group. His current work focuses on optimizing Quality of Service in multi-tenant TDM-PON environments through novel scheduler implementations using Xilinx FPGA, Intel DPDK, and open-source frameworks like ONF SEBA R-CORD and OAI software radio stacks. This research directly addresses critical challenges in network disaggregation, legacy function modernization, and dynamic resource pooling for 5G/6G metro-access networks. As a core contributor to Trinity College Dublin's Optical Network Architecture group, Dr Slyne drives experimental validation of converged network architectures through simulation, virtualization, and hardware prototyping initiatives targeting dependable telecommunications infrastructure.

Justin Rietzمشاهده پروفایل

دانشیار

• Theory of Money
• Experimental Economics
• Monetary Policy
• +۳ مورد دیگر

Justin Rietz is an Associate Professor in the Department of Economics at San José State University’s College of Social Sciences. His research focuses on the theory of money, experimental economics, and blockchain applications, combining interdisciplinary approaches with anthropology to explore prehistoric economic systems and modern monetary policy. His recent work includes experimental studies on the origins of money, simulations of prehistoric European salt economies, and blockchain innovations like TontineCoin and SharedWealth protocols. During the pandemic, he co-developed a public economics dashboard tracking San Jose metro economic conditions, featured in media outlets like the San Jose Mercury News and Silicon Valley Business Journal. Research keywords span experimental economics, monetary theory, blockchain technology, and decentralized finance. His work bridges historical economic models with contemporary digital currency challenges, emphasizing interdisciplinary collaboration and practical policy applications.

• Transportation Systems
• Geographic Information Systems (GIS)
• Urban Mobility
• +۴ مورد دیگر

Dr. Mark Beecroft is a Senior Lecturer at the University of Aberdeen's School of Engineering, specializing in transportation systems and spatial data analytics. His research integrates geographic information systems (GIS), urban/rural mobility frameworks, and sustainable transport solutions, with a focus on public transport security, micromobility networks, and decarbonization impacts. Research Interests: Beecroft's work spans transportation policy, crowdsourced data applications, metro system development, and mobility-as-a-service (MaaS) models. He investigates spatial disparities in transport access, infrastructure-environment interfaces, and data-driven solutions for automotive and public transit sectors. Key themes include GIS-based route optimization, participatory data collection, and comparative analysis of global transit systems. Publication Trends: Recent articles emphasize urban/rural mobility integration, spatial modeling of transport networks, and sustainable transitions in the automotive industry. Works frequently employ mixed-method approaches, combining qualitative case studies (e.g., London's underground systems) with quantitative spatial analysis using tools like OSMnx and Strava data.

• Innovative infrastructure designs
• Traffic operations analysis
• Highway safety
• +۳ مورد دیگر

Amir Mehrara Molan is an Assistant Professor of Civil Engineering at the University of Mississippi (University of Mississippi). He holds a Ph.D. from Wayne State University and degrees from Azad University (B.S., 2011; M.Sc., 2013). His research focuses on innovative infrastructure designs, traffic operations analysis, highway safety, intelligent transportation systems, and transportation modeling. He pioneered the Super Diverging Diamond Interchange (Super DDI) to enhance interchange efficiency and safety, particularly in underserved regions like the Wind River Indian Reservation in Wyoming. Education: B.S. Civil Engineering, Azad University (2011) M.Sc. Civil Engineering, Azad University (2013) Ph.D. Civil Engineering, Wayne State University (2017) Research Interests: Dr. Molan emphasizes multimodal transportation solutions, including pedestrian and bicycle safety, and innovative designs to address urban and rural challenges. His work integrates safety equity, traffic simulation, and data-driven decision-making to optimize infrastructure performance. Notable contributions include the Super DDI and novel approaches to coordinated ramp metering and public acceptance scoring systems for alternative intersections. Articles Trends: Recent publications focus on alternative intersection designs (e.g., Super DDI, Double Contraflow), bicycle/road safety, and the application of microsimulation and surrogate safety measures. His work bridges theoretical models with real-world case studies in Denver, Atlanta, and Wyoming. Scientific Awards: 2018 Best Paper in the ASCE Journal of Transportation Engineering Advising & Grants: Principal Investigator (PI) or Co-PI on eight projects totaling over $1.5M, funded by state DOTs and UTCs. Advises the Ole Miss ITE Chapter and contributes to TRB committees. Prior roles include Lecturer/Researcher at Cal Poly-SLO and Postdoctoral Researcher at the University of Wyoming. Labs/Teams: Collaborates with University Transportation Centers and federal/state agencies to advance applied transportation research. Engages in projects addressing rural-urban disparities and Indigenous community transportation needs.

Nicholas Nagleمشاهده پروفایل

استاد

• Spatial Statistics
• Spatial Data Science
• Demography
• +۴ مورد دیگر

Nicholas Nagle is a Professor and Program Director of the NSF Human Networks and Data Science Program at the University of Tennessee's Department of Geography. He specializes in spatial statistics, spatial data science, and demography. His research focuses on improving population survey methodologies, particularly with the U.S. Census Bureau and USDA, and integrates multi-source data like surveys and imagery. Currently on leave until August 2026, he advises on the redesign of the 2020 Decennial Census through the National Academy of Sciences. His work spans climate change demography, forest inventory estimation, and health disparities analysis. Education: Ph.D., University of California, Santa Barbara. Teaching focuses on quantitative methods and population geography. Research interests emphasize spatial data fusion, uncertainty visualization, and policy applications. Recent projects include UrbanPop (spatial microsimulation), RegRake (forest data mapping), and near-real-time pandemic monitoring. His interdisciplinary approach bridges demography, environmental science, and public health. Grants include NSF-funded work on Human Networks and Data Science. Collaborations involve federal agencies and international development projects in Mali and Florida.

• Transportation engineering
• Sustainable Transport and Infrastructures
• Environment, Economy, and Society
• +۷ مورد دیگر

Catherine Morency is a Full Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal, where she holds the Mobility Chair and a Tier-1 Canada Research Chair on Personal Mobility. Her research focuses on transportation engineering, sustainable transport, intermodality, and equity in urban mobility. She is affiliated with multiple research units including the Centre interdisciplinaire de recherche en opérationnalisation du développement durable (CIRODD), Agence de mobilité durable, Société de transport de Montréal (STM), Laboratoire en intelligence des données, Institute for Data Valorization (IVADO), and CIRRELT. Her work integrates modeling interactions between transportation modes, analyzing spatial-temporal data, and evaluating sustainability metrics. She advocates for reducing car dependency through ridesharing, carsharing, and active modes, while emphasizing equity in transport planning. Recent publications explore driving cycle construction, metro network vulnerability, e-bike route optimization, and GHG emission modeling. 2021 - Prix d'excellence en recherche et innovation, Polytechnique Montréal 2019 - Prix Antoine Grégoire, ATUQ 2014 - Prix du président, AQTr 2005 - Prix de la francophonie, France Morency supervises numerous Ph.D. and Master's students, with completed theses spanning topics like car ownership modeling, bike-sharing demand prediction, transit network design, and impact assessments of shared mobility. She actively contributes to public discourse on Quebec transport policy, particularly critiquing car-centric projects and advocating for prioritization of public transit, equity, and data-driven decision-making.

Dan Gladwinمشاهده پروفایل

استاد

• Electrical Energy Storage
• Power Electronics
• Control Systems
• +۷ مورد دیگر

Professor Dan Gladwin is a Professor of Electrical and Control Systems Engineering at the University of Sheffield's School of Electrical and Electronic Engineering. He leads the Electrical Machines and Drives Research Group and serves as Deputy Director of the Centre for Research into Electrical Energy Storage and its Applications (CREESA). His research focuses on electrical energy storage technologies (batteries, supercapacitors, flywheels) across automotive, power grid, aerospace, rail, and consumer applications. Key projects include managing the UK's largest research-led energy storage test facility (4.1MW capacity) and leading a £3.8M lithium titanate grid storage project and an H2020 hybrid flywheel initiative. Education: MEng and PhD in Electronic Engineering from the University of Sheffield (2004, 2009) Professional Roles: Deputy Director of CREESA, leader in electrochemical energy storage for grids Research interests include diagnostics/prognostics of high-power energy storage, optimization via genetic programming, and IoT/Industry 4.0 applications. He has supervised over 20 PhD students and contributed to 100+ peer-reviewed publications. Notable facilities managed: 1,200m² energy storage test site with 11kV grid connection. Current projects include the TransEnergy railway energy storage initiative and hybrid flywheel systems for Europe's largest installation.

Emmah Doigمشاهده پروفایل

پژوهشگر ارشد

• Neurorehabilitation
• Goal Setting in Rehabilitation
• Cognitive Rehabilitation
• +۴ مورد دیگر

Dr. Emmah Doig is a Conjoint Senior Research Fellow in Occupational Therapy at The University of Queensland’s School of Health and Rehabilitation Sciences. She holds affiliations with the Centre for Neurorehabilitation, Ageing and Balance Research and the STARS Education and Research Alliance. Her research focuses on neurorehabilitation, metacognitive strategies, and knowledge translation, with expertise in goal-setting methodologies and outcomes after brain injury. Dr. Doig completed her PhD in 2010, examining outpatient brain injury rehabilitation efficacy. Education: Bachelor (Honours) and PhD in Occupational Therapy from The University of Queensland. Research Interests: Person-centered goal setting in neurorehabilitation Cognitive and metacognitive interventions for traumatic brain injury Implementation science and research translation Technology in rehabilitation (e.g., driving simulators, digital assessments) Community-based rehabilitation programs Her publications and grants highlight contributions to improving clinical practices, such as developing the Client-Centredness of Goal Setting Scale (C-COGS) and co-founding BRAINSPAN, a multidisciplinary network for brain injury researchers and clinicians. She has secured 13 competitive grants, including NHMRC funding for falls prevention in stroke survivors. Advising and Grants: Supervised over 8 research students, including PhD candidates in areas like lymphedema management and stroke rehabilitation. Current projects include the FISS-Australia trial evaluating falls interventions. Labs/Teams: Active in the STARS Alliance and collaborates with organizations like the National Stroke Foundation and Metro North Hospital and Health Service.

Karina O'Learyمشاهده پروفایل

پژوهشگر ارشد

• Interprofessional Education
• Healthcare Team Collaboration
• Physiotherapy Education
• +۳ مورد دیگر

Karina O'Leary is the Interprofessional Conjoint Fellow at the STARS Education and Research Alliance, affiliated with The University of Queensland's School of Health and Rehabilitation Sciences. As a physiotherapist with extensive clinical and academic experience, her primary roles include advancing interprofessional education, designing work-integrated learning programs, and improving healthcare team collaboration. She is currently completing a PhD (commenced 2021) using experience-based co-design to enhance interprofessional practice in hospital settings. Qualifications include a PhD candidate (UQ), Graduate Certificate in Higher Education (2009), Master of Physiotherapy (2005), and BSc (Honours) Physiotherapy (1997). Her research focuses on three core areas: 1) developing interprofessional competencies for health professional students, 2) upskilling educators in interprofessional teaching methods, and 3) creating innovative frameworks for interdisciplinary healthcare teams. Notable work includes the HAPPi Kneecaps trial investigating foot orthoses for patellofemoral pain and pioneering the use of senior students as standardized patients in medical education. She received the 2022 Health and Behavioural Sciences Faculty Excellence Award for Clinical Education. Her work spans biomechanics, clinical trial design, and educational pedagogy with over 25 years of combined clinical and academic experience. Supervision availability: Open to HDR students focusing on interprofessional education, healthcare team dynamics, or clinical education innovation. Collaborates with Metro North Hospital and Health Service through grant-funded projects.