جست‌وجوی استاد و پژوهشگر

Michele D. Simoniمشاهده پروفایل

استادیار

• Transportation Systems Analysis
• Urban Mobility Planning
• Traffic Flow Simulation
• +۳ مورد دیگر

Michele D. Simoni is an Assistant Professor at the Department of Urban Planning and Environment at KTH Royal Institute of Technology in Stockholm, Sweden. He leads the project Investigating Sidewalks’ Mobility and Improving it with Robots (ISMIR) . His research focuses on advanced transportation systems, including last-mile freight optimization, autonomous vehicle impacts, and urban mobility policies. Education: Ph.D. in Civil Engineering (2019), University of Texas at Austin M.Sc. in Civil Engineering (2013), Delft University of Technology B.Sc. in Civil Engineering (2011), Polytechnic University of Milan Research Interests: Michele’s work integrates cutting-edge technologies like machine learning and sensor-based systems to address challenges in urban logistics, traffic management, and transportation policy. He has pioneered methods for curbside management, dynamic speed limit policies, and optimization of autonomous delivery systems. Grants & Projects: Current PI of ISMIR (2023–2025) and former postdoctoral research at MIT (2019–2020) and UT Austin (2015–2019). Active in collaborative projects on congestion pricing and automated vehicle integration. Labs & Teams: Leads the Transport Systems Analysis group at KTH, focusing on simulation frameworks for urban systems and robotics in logistics.

Fraida Fundمشاهده پروفایل

استادیار

• Networking
• Telecommunications
• Wireless Communication
• +۷ مورد دیگر

Fraida Fund is a Research Assistant Professor at the NYU Tandon School of Engineering, specializing in the Electrical and Computer Engineering Department. She is affiliated with the Center for Advanced Technology in Telecommunications (CATT) and NYU WIRELESS, which focus on 6G and mmWave technologies. Her research explores low-latency networking, congestion control, wireless systems, and reproducibility in computer science education. She teaches courses on machine learning systems, networking protocols, and computer engineering design. Her work emphasizes practical applications of wireless and edge computing, particularly in agriculture and connected vehicles. Recent studies include evaluating latency in mmWave networks and analyzing the adoption of BBR and L4S congestion control protocols. Fund has contributed to open-source platforms like PrairieLearn for algorithmic question generation in education. She was recognized by AFAR for her academic achievements. Fund’s research integrates economic analysis with engineering, such as modeling cellular infrastructure sharing and pricing strategies for video delivery. She actively uses public testbeds for reproducible experiments and advocates for improving reproducibility in computer science curricula. Her interdisciplinary approach bridges theoretical research with real-world deployment challenges in telecommunications.

• Vehicle Dynamics and Control
• Active Suspension Systems
• Autonomous and Connected Vehicles
• +۵ مورد دیگر

BEATRIZ LOPEZ BOADA is a Full Professor and Vice-Chancellor for Sustainability, Infrastructure, Strategy, and Digital Transformation at Universidad Carlos III de Madrid (UC3M). Her research focuses on vehicle dynamics, control systems, and intelligent transportation systems (ITS), with emphasis on fault-tolerant control, autonomous vehicles, active suspension systems, and traffic optimization. She has pioneered work on magnetorheological dampers, vehicle platooning, and IoT-based sensor fusion for real-time state estimation. Her teaching innovations include integrating AI tools into transport engineering curricula. Key contributions include H∞ control methodologies for roll stability, energy-efficient traffic management, and robust platoon control under disturbances. Education & Professional Roles: Vice-Chancellor for Sustainability, UC3M (current) Full Professor of Automotive Engineering, UC3M Research Interests: Active suspension systems for rollover prevention Fault-tolerant control architectures for electric vehicles Data-driven traffic prediction using LSTM and graph neural networks Integration of IoT and AI in transportation infrastructure Recent work emphasizes connected vehicle systems, including heterogeneous platoon coordination and adaptive control strategies under communication delays. She also investigates how driver preferences impact energy-efficient traffic signal control. Awards & Grants: While specific awards aren't listed, her sustained research output indicates significant contributions to transportation engineering. Active grants include projects on autonomous vehicle safety and smart traffic management systems. Advising & Labs: Leads UC3M's Vehicle Dynamics and Control Lab, focusing on experimental validation of control algorithms using real-world vehicle platforms. Collaborates with automotive industry partners on suspension system optimization and sensor fusion technologies.

Narasimha Reddyمشاهده پروفایل

استاد

• Computer Networks
• Storage Systems
• Multimedia Systems
• +۳ مورد دیگر

Narasimha Reddy is a Professor and Department Head in the Department of Electrical and Computer Engineering at Texas A&M University, holding the Truchard Foundation Chair Professorship. He earned his B.Tech. from the Indian Institute of Technology, Kharagpur (1985), and M.S./Ph.D. in Computer Engineering from the University of Illinois at Urbana-Champaign (1987/1990). His research focuses on Computer Networks Storage Systems Multimedia Systems Computer Architecture Cybersecurity with notable contributions to hybrid storage systems, cybersecurity frameworks, and network protocols. Reddy has held roles such as Associate Dean for Research (2016-21) and received accolades including IEEE Fellow (2003), NSF Career Award (1996-2000), and multiple teaching excellence awards. His work spans 5 patents and includes leadership in projects like IoTAegis (IoT security), CATS (Twitter spam detection), and SCMFS (storage class memory filesystem). His awards reflect industry and academic recognition: Fellow, IEEE Computer Society Outstanding Professor Awards (1997-98, 2003-04) IBM Technical Achievement Award (1995) Reddy’s research integrates hardware-software co-design, cybersecurity resilience, and scalable storage solutions. He leads initiatives in cyber-physical systems and digital manufacturing assurance, bridging theoretical advancements with practical applications in industry.

• Turbulence
• Unmanned Systems
• Sensors
• +۵ مورد دیگر

Dr. Abdulghani Mohamed is a Senior Lecturer in the School of Engineering at RMIT University, specializing in aerospace engineering with a focus on unmanned aerial systems, turbulence research, and biomimetic flight technologies. His research integrates principles from biology with engineering applications to advance drone technology and flight control systems. His research interests span Turbulence , Unmanned Systems , Sensors , Biomimetics , Aerodynamics , Experimental fluid dynamics , Computational fluid dynamics , and Energy harvesting systems . Dr. Mohamed's work demonstrates a strong connection between natural flight mechanisms observed in birds and engineered solutions for drone technology. His recent publications (2018-2024) reveal consistent research productivity with a clear trajectory toward increasingly sophisticated drone control systems, turbulence adaptation mechanisms, and biomimetic applications. The research shows a progression from fundamental aerodynamic studies toward practical implementations in urban air mobility and advanced drone systems. Open to Masters Research or PhD student supervision Active research projects in drone propeller optimization, turbulence mitigation, and biomimetic flight Dr. Mohamed maintains an active research program with numerous projects related to unmanned aerial systems and their applications in complex environments. His work bridges theoretical aerodynamics with practical engineering solutions for next-generation flight systems.

• Computer Networks
• Edge Computing
• Digital Twins
• +۴ مورد دیگر

Armir Bujari is an Associate Professor at the Department of Computer Science within the Faculty of Science and Engineering at the University of Bologna. His research focuses on advanced networking, edge computing, digital twins, and blockchain applications. He holds a scientific disciplinary sector specialization in Information Processing Systems (IINF-05/A). Key research areas include: Edge and cloud computing architectures IoT and smart systems integration Blockchain-enabled data ecosystems Urban and industrial digital twins Disaster communication protocols Recent publications emphasize innovative solutions in federated learning, QUIC protocol optimization for satellite networks, and digital twin applications in logistics and smart cities. His work bridges theoretical advancements with practical implementations in 5G/6G networks, disaster response systems, and sustainable energy grids. Office location: 1st floor, Palazzina ex-scuderie, Viale Risorgimento 2, Bologna. Reception hours are typically Mondays 3-5 PM, with flexible scheduling via email.

• Complex Systems
• Network Analysis
• Genomics
• +۳ مورد دیگر

Orr Levy is an Associate Research Scientist at Yale University's Yale School of Medicine. His academic role focuses on interdisciplinary research bridging complex systems, genomics, and urban dynamics. He holds a PhD in Physics from Bar-Ilan University (2018), advised by Prof. Ruslan Medzhitov. His work emphasizes network analysis, spatial systems, and biological processes. Research interests include: complex systems analysis, network dynamics, epigenetic aging, urban traffic modeling, and computational genomics. Recent studies explore brain network resilience, cascading failure mitigation, and single-cell transcriptional coordination in aging. Key contributions span neuroscience (fMRI connectivity), genomics (gene regulatory networks), and urban systems (traffic flow optimization). Articles demonstrate cross-disciplinary approaches to understanding systemic behaviors in biological and social networks. Current projects involve applying network theory to healthcare and urban planning challenges.

• Internet of Things (IoT)
• Wireless Networks
• Quality of Service (QoS)
• +۷ مورد دیگر

Francisco M. Delicado is an Associate Professor in the Department of Sistemas Informáticos at Universidad de Castilla-La Mancha, Spain, where he has been employed since 2007. He earned his PhD in Computer System from the same institution, with his doctoral work beginning in 1999. His research spans several key areas in computer science and engineering, particularly focusing on Internet of Things (IoT) , Wireless Networks , Quality of Service (QoS) , and Environmental Monitoring . He has developed low-cost IoT ecosystems for detecting glyphosate in water and monitoring agrochemical spray drifts. Additionally, his work extends to medical IoT (IoMT), blockchain applications in e-government, and machine learning for vector monitoring. His recent publications show a strong trend toward applying IoT and machine learning to environmental and public health challenges. Earlier works focus on QoS mechanisms in wireless and mobile networks, including WiMAX (IEEE 802.16), TDMA/TDD, and HIPERLAN/2, with contributions to bandwidth allocation, contention resolution, and video transmission resilience. He has no listed scientific awards in the provided data. Francisco M. Delicado has collaborated extensively with researchers such as Teresa Olivares, Javier Aira, and Luis Orozco-Barbosa. While no formal advising roles or grants are mentioned, his long-standing publication record suggests active research leadership. There is no mention of specific labs or research teams, but his work implies involvement in networking and IoT-focused research groups at his university.

Jimmy Jessen Nielsenمشاهده پروفایل

دانشیار

• Wireless Communications
• Ultra-Reliable Low Latency Communication
• Internet of Things
• +۹ مورد دیگر

Jimmy Jessen Nielsen is an Associate Professor in the Department of Electronic Systems at Aalborg University, under The Technical Faculty of IT and Design, Denmark. His research focuses on wireless communications, particularly in ultra-reliable low-latency communication (URLLC), 5G/6G networks, Internet of Things (IoT), satellite communications, and energy-autonomous networks. He is actively involved in several EU- and ESA-funded research initiatives such as PAINLESS, WILLOW, ONE5G, and SATNEX V, where he serves as principal investigator or key participant. His research interests lie at the intersection of wireless access technologies, network optimization, and cyber-physical systems. He explores topics including network slicing, UAV-based access points, software-defined radio, and indoor localization using building plans. His work contributes to UN Sustainable Development Goals in Communication and Informatics, Mathematics and Statistics, and Energy Engineering. His recent publications show a strong trend toward real-time adaptive networking, human-in-the-loop control over wireless links, and infrastructure-less communication systems. These works often involve collaborations with leading researchers such as Petar Popovski and Bosch Soret, and are published in high-impact IEEE venues including IEEE Transactions on Haptics and IEEE Open Journal of the Communications Society. Scientific Awards: Best Paper Award (2021) – for research on Micro Aerial Vehicle Networks and Access Points Nielsen has supervised and examined multiple PhD students and has been an active academic reviewer and committee member. He led the Department of Electronic Systems as chair starting in 2022 and has participated in numerous PhD defenses as both internal and external examiner. He also contributes to public discourse through media appearances on topics like Wi-Fi optimization and future mobile networks for robotics. He is affiliated with the Connectivity section at Aalborg University and maintains an active research profile with ongoing projects extending into 2025. His work emphasizes practical, deployable solutions for next-generation communication systems.

Larry Headمشاهده پروفایل

استاد

• Systems Engineering
• Industrial Engineering
• Intelligent Transportation Systems
• +۷ مورد دیگر

Larry Head is a Professor in the Department of Systems and Industrial Engineering at the University of Arizona, College of Engineering. He serves as Director of the Craig M. Berge Engineering Design Program and is a Member of the Graduate Faculty. His extensive leadership roles include former Interim Dean of Engineering and Director of the Transportation Research Institute. He is actively engaged in transportation policy as a member of the Arizona Governor’s Task Force for Self-Driving Vehicles. Education: PhD in Systems and Industrial Engineering, University of Arizona MS in Systems Engineering, University of Arizona BS in Systems Engineering, University of Arizona Larry Head's research centers on intelligent and connected transportation systems, with a strong focus on cyber-physical systems, adaptive traffic signal control, and urban traffic operations. His work integrates real-time data from connected and automated vehicles to optimize traffic flow, improve intersection safety, and support multi-modal transportation. He also contributes significantly to engineering education, teaching courses in systems engineering, simulation, and financial modeling. His recent publications (2014–2022) demonstrate a consistent trajectory in leveraging connected vehicle technology for adaptive signal control, pedestrian safety, and traffic efficiency. Key themes include priority control for emergency and freight vehicles, smooth progression modeling, and data-driven safety assessment. The research spans disciplines such as transportation engineering, machine learning, and cyber-physical systems. Scientific Awards: Trevor O. Jones Outstanding Paper Award (2021) Exceptional Paper Award, TRB Traffic Signal Systems Committee (2017) 2016 Best ITS Implementation Project 2016 Member of the Year, ITS Arizona da Vinci Fellow, College of Engineering D. Grant Mickle Award for Outstanding Paper Best Dissertation Advisor Award, COTA Larry Head has advised numerous graduate students, many of whom are co-authors on his publications. He has secured significant research funding in intelligent transportation systems, though specific grants are not listed. His professional service includes editorial work for Transportation Research – Part C and leadership in TRB, SAE, IEEE, and other societies. He leads research initiatives at the ATLAS Research Center and collaborates on interdisciplinary transportation projects. He is an active member of several research teams focused on connected vehicle systems, traffic safety, and urban mobility. His lab work emphasizes real-world implementation of intelligent signal control and data analytics for transportation infrastructure.

Javier Garcia-Heras Carreteroمشاهده پروفایل

دانشیار

• Air Traffic Management
• Flight Planning under Uncertainty
• Convective Weather Prediction
• +۱۲ مورد دیگر

Javier Garcia-Heras Carretero is an Associate Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M), where he conducts research and teaches in air traffic management, flight planning, and AI applications in aviation. He is a member of the Aerospace Engineering Research Group. Research Interests: His work focuses on enhancing air traffic flow management through machine learning and optimization, particularly in mitigating weather-related disruptions. Key areas include robust 4D flight planning under uncertainty, convective weather prediction, continuous climb operations, and environmental impact reduction in aviation. He integrates AI models such as LSTM and CNNs to forecast thunderstorms and optimize traffic flow. Recent Publication Trends: His most recent articles (2023–2024) emphasize deep learning for pre-tactical convection prediction, fast stochastic flight path simulation under uncertainty, and AI-driven hotspot detection in air traffic due to weather. These works reflect a strong trend toward data-driven, real-time decision support systems in ATM using neural networks and parallel computing. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: He supervises BSc and MSc theses, including one on data science techniques for weather mitigation in ATFM. He has led multiple research projects as Principal Investigator, including Collaborative Learning for Intelligent Meteorological Aviation (2024–2027) and Donut proyect (2019–2022). He has participated in numerous EU-funded projects such as KAIROS, REFMAP, ECONTRAIL, and ISOBAR, as well as industry collaborations with Airbus, Boeing, and SENASA. Labs and Teams: He is part of the Aerospace Engineering Research Group at UC3M, focusing on ATM systems, trajectory optimization, and digital aviation technologies. His team collaborates internationally on projects involving AI, weather forecasting, and sustainable aviation.

Kuilin Zhangمشاهده پروفایل

دانشیار

• Transportation Systems
• Intelligent Transportation Systems (ITS)
• Freight Logistics
• +۵ مورد دیگر

Dr. Kuilin Zhang is an Associate Professor in the Department of Civil, Environmental, and Geospatial Engineering at the College of Engineering and an Affiliated Associate Professor in the Department of Computer Science at the College of Computing, Michigan Technological University. He is affiliated with the Michigan Tech Transportation Institute (MTTI), Institute of Computing and Cybersystems (ICC), and Center for Agile Interconnected Microgrids (AIM). His research focuses on transportation systems optimization, connected and automated vehicles (CAVs), freight logistics, and cyber-physical systems integration. Dr. Zhang holds a Ph.D. in Transportation Systems Analysis and Planning from Northwestern University (2009), with postdoctoral fellowships at Northwestern and Argonne National Laboratory (2010–2013). Education: PhD in Transportation Systems Analysis and Planning (Northwestern University, 2009) Professional Roles: Member of TRB committees (AEP40, AT015, AR030), SAE Cooperative Driving Automation Committee, IEEE, INFORMS, and ITE. Research Interests: Dr. Zhang’s work spans data-driven optimization , cooperative adaptive cruise control , intermodal freight modeling , and mobile sensing . He develops models for CAVs, smart city infrastructure, and resilient logistics systems. Recent projects include DOE-funded research on intermodal freight resilience and NSF CAREER Award-supported CAV control algorithms. Publications: Over 30 peer-reviewed articles in journals like Transportation Research Part B and IEEE Transactions on Smart Grid , focusing on traffic flow theory, CAV systems, and freight optimization. Awards: NSF CAREER Award (2019), TRB Gartner Prize (2022). Grants: Total funding exceeds $5M from NSF, DOE, USDOT, and MDOT for projects like drone-based infrastructure monitoring and CAV energy efficiency. Advising: Supervised 6 Ph.D. students, with notable alumni including Dr. Ali Jalooli (now faculty at California State University). Labs: Leads the Sustainable and Intelligent Transportation Systems (SITS-Lab) and Connected and Automated Vehicle Systems Testing (CAVS-Lab), developing tools like CARDS for CAV simulation and UAV traffic monitoring systems.

• Control Engineering
• Hydrodynamics
• Marine Control Systems
• +۳ مورد دیگر

Asgeir Johan Sørensen is a Professor at the Department of Marine Engineering, Faculty of Engineering at NTNU. He holds a Dr. Eng. in Technical Cybernetics (1993) and an M.Sc. in Marine Engineering (1988), both from NTH (now NTNU). His research focuses on control engineering, hydrodynamics, autonomous systems, and marine robotics. He leads projects like Oppdrag Mjøsa , advancing autonomous marine operations and environmental monitoring. Key contributions include risk-based path planning, hydrogen fuel cell systems for marine propulsion, and hyperspectral imaging for underwater mapping. Research interests emphasize autonomous systems integration, underwater vehicle control, and sustainable marine technologies. He co-founded the Marine Cybernetics Laboratory (MC-lab) and Applied Underwater Laboratory (AUR-Lab) . His work bridges academia and industry, addressing challenges in marine robotics, energy systems, and satellite-based Earth observation. Recent publications highlight advancements in marine autonomy, including collision avoidance algorithms, hybrid power systems, and Arctic satellite missions. He collaborates widely, contributing to national and international initiatives in marine technology and environmental data governance.

• Digital Heritage
• Virtual Reality
• Computer Networks
• +۳ مورد دیگر

Alan Henry David Miller is a Lecturer at the School of Computer Science, University of St Andrews. His research focuses on digital heritage preservation, immersive technologies, and network systems. He leads projects such as Virtual Museum Infrastructure and Toolkit, and has contributed to initiatives like the LeGE-WG Working Group on e-Learning paradigms. Education: PhD (University of Glasgow), MSc IT (University of Glasgow), BA Politics (University of York) Awarded Fellow of the Higher Education Academy Research Interests: Virtual Reality applications, Quality of Service in networks, climate action through digital technologies His work bridges computer science with cultural heritage, emphasizing experiential learning and sustainable development. Notable recognitions include the Artfund Museum of the Year Shortlist 2023 and Europa Nostra Awards for heritage-led international relations.

• Internet of Things (IoT)
• Smart Systems and Automation
• Telematics Engineering
• +۴ مورد دیگر

Juan Ramón Velasco Pérez is a Full Professor at the Department of Automática within the Universidad Autónoma de Madrid . His research focuses on IoT systems, telematics engineering, and smart environments , with particular emphasis on applications in healthcare, education, and multi-agent systems. He holds a PhD from the Universidad Politécnica de Madrid (1992) and has supervised doctoral research in intelligent control systems. His work includes pioneering contributions to smart toy platforms for child development monitoring, secure IoT communication protocols , and ontology-based interoperability frameworks . He has developed innovative methods for automated negotiation algorithms in dynamic environments and multi-agent systems for smart homes and emergency networks. Recent projects address digital competence frameworks for university educators and real-time physical activity monitoring systems using wearable technologies. Key technical contributions span embedded fuzzy logic controllers for sensor networks, non-Euclidean clustering algorithms , and context-aware service architectures . His research integrates hardware-software co-design principles with advanced data analytics for healthcare and educational applications. Education: PhD in Telematics Engineering, Universidad Politécnica de Madrid (1992) Thesis: Arquitectura para sistemas de control inteligentes , supervised by Dr. Gregorio Fernández Fernández Key Projects: DiY Smart Experiences Project (2011) NetIS Research Group (Networks and Intelligent Systems) His work bridges theoretical advancements in multi-agent systems with practical implementations in smart cities infrastructure , ambient assisted living , and pedagogical technology . Current research trends emphasize cross-disciplinary frameworks for digital competence assessment in academia and secure IoT ecosystems for pediatric healthcare applications.